Skip to main content

Main menu

  • Home
  • Current Issue
  • Archive
  • Info for
    • Authors
    • Editorial Policies
    • Subscribers
    • Advertisers
    • Editorial Board
    • Special Issues 2025
  • Journal Metrics
  • Other Publications
    • In Vivo
    • Cancer Genomics & Proteomics
    • Cancer Diagnosis & Prognosis
  • More
    • IIAR
    • Conferences
    • 2008 Nobel Laureates
  • About Us
    • General Policy
    • Contact
  • Other Publications
    • Anticancer Research
    • In Vivo
    • Cancer Genomics & Proteomics

User menu

  • Register
  • Subscribe
  • My alerts
  • Log in
  • My Cart

Search

  • Advanced search
Anticancer Research
  • Other Publications
    • Anticancer Research
    • In Vivo
    • Cancer Genomics & Proteomics
  • Register
  • Subscribe
  • My alerts
  • Log in
  • My Cart
Anticancer Research

Advanced Search

  • Home
  • Current Issue
  • Archive
  • Info for
    • Authors
    • Editorial Policies
    • Subscribers
    • Advertisers
    • Editorial Board
    • Special Issues 2025
  • Journal Metrics
  • Other Publications
    • In Vivo
    • Cancer Genomics & Proteomics
    • Cancer Diagnosis & Prognosis
  • More
    • IIAR
    • Conferences
    • 2008 Nobel Laureates
  • About Us
    • General Policy
    • Contact
  • Visit us on Facebook
  • Follow us on Linkedin
Review ArticleReviewsR

18F-Fdg-PET-guided Planning and Re-Planning (Adaptive) Radiotherapy in Head and Neck Cancer: Current State of Art

ELEONORA FARINA, MARTINA FERIOLI, PAOLO CASTELLUCCI, ARIANNA FARINA, GIUSEPPE ZANIRATO RAMBALDI, SAVINO CILLA, SILVIA CAMMELLI, STEFANO FANTI and ALESSIO G. MORGANTI
Anticancer Research December 2017, 37 (12) 6523-6532;
ELEONORA FARINA
1Radiation Oncology Center, Department of Experimental, Diagnostic and Specialty Medicine – DIMES, S. Orsola-Malpighi Hospital, University of Bologna, Bologna, Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: radiotherapy.ef@gmail.com
MARTINA FERIOLI
1Radiation Oncology Center, Department of Experimental, Diagnostic and Specialty Medicine – DIMES, S. Orsola-Malpighi Hospital, University of Bologna, Bologna, Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
PAOLO CASTELLUCCI
2Nuclear Medicine Unit, S. Orsola-Malpighi Hospital, University of Bologna, Bologna, Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
ARIANNA FARINA
2Nuclear Medicine Unit, S. Orsola-Malpighi Hospital, University of Bologna, Bologna, Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
GIUSEPPE ZANIRATO RAMBALDI
3Radiology Unit, Department of Experimental, Diagnostic and Specialty Medicine – DIMES, S. Orsola-Malpighi Hospital, University of Bologna, Bologna, Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
SAVINO CILLA
4Medical Physics Unit, Fondazione “Giovanni Paolo II”, Catholic University of Sacred Heart, Campobasso, Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
SILVIA CAMMELLI
1Radiation Oncology Center, Department of Experimental, Diagnostic and Specialty Medicine – DIMES, S. Orsola-Malpighi Hospital, University of Bologna, Bologna, Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
STEFANO FANTI
2Nuclear Medicine Unit, S. Orsola-Malpighi Hospital, University of Bologna, Bologna, Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
ALESSIO G. MORGANTI
1Radiation Oncology Center, Department of Experimental, Diagnostic and Specialty Medicine – DIMES, S. Orsola-Malpighi Hospital, University of Bologna, Bologna, Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
  • PDF
Loading

Abstract

Background/Aim: A review of the literature is proposed as a contribution to current knowledge on technical, physical, and clinical issues about PET-guided planning and re-planning radiotherapy (RT) in head and neck cancer. Materials and Methods: PubMed and Scopus electronic databases were searched for articles including clinical trials. Search terms were “gross tumor volume (GTV) delineation”, “head and neck cancer”, “radiotherapy”, “adaptive radiotherapy” in combination with “PET”. Results: A 18F-FDG-PET and CT-scan comparison in GTV definition for RT planning of head and neck cancer was shown in twenty-seven clinical trials with a total of 712 patients. Only two clinical trials focused on PET-guided adaptive radiotherapy (ART) with a total of 31 patients. Conclusion: 18F-FDG-PET is able to achieve an accurate and precise definition of GTV boundaries during RT planning, especially in combination with CT-scan. ART strategies are proposed to evaluate tumor volume changes, plan boost irradiation on metabolically active residual neoplasm and protect organs at risk (OaRs).

  • Adaptive radiotherapy
  • 18F-FDG PET
  • target definition
  • head and neck cancer
  • review

Head and neck (H&N) cancer is the sixth most common cancer worldwide and each year more than half a million patients are diagnosed with this disease (1, 2). At diagnosis 60% of them present a non-metastatic locally advanced disease, stage III or IV, requiring a multimodality treatment (1, 3). In these cases, radiotherapy (RT) and concurrent chemotherapy (CHT) are considered the nonsurgical standard of care.

These neoplasms carry a poor prognosis with approximately 50%-60% local recurrence and 20-30% of metastases within 2 years from treatment (4). RT has the aim to improve locoregional control both in early stage disease, where RT has an elective role, and in advanced stage, in the setting of combined modality treatment (5). It has been estimated that in the majority of cases, RT treated tumors relapse within the 95% dose coverage volume, probably due to the presence of radiation-resistant hypoxic areas (6-12).

[18F]-fluorodeoxyglucose-PET (18F FDG-PET) is effective during the RT planning to define the Gross Tumor Volume (GTV) boundaries, especially in combination with a CT-scan. During RT, 18F-FDG PET is useful to detect metabolic tumor evolution and to monitor therapy response also before clear anatomic changes. This result depends on its superior ability to detect vital cancer tissue. Therefore, it is potentially useful to develop adaptive radiotherapy (ART) with treatment replanning following not only morphological but even metabolic changes. ART is based on reassessment of macroscopic tumor volume (GTV), and of organs at risk (OaRs) (as parotid and submandibular glands) after a specific time from RT start allowing the optimization of plan conformality during treatment. This approach, especially if combined with dose-escalation strategies directed against the residual tumor, could contrast radio-resistance leading to higher Tumor Control Probability (TCP) and reduced rates of severe acute and late effects (13-15).

Being an emerging method, only few concept studies, no literature reviews and only few clinical trials using 18F-FDG PET/CT as a re-planning tool are available in literature.

In this article we report the current state of art on the use of 18F-FDG PET in planning and replanning (ART) of H&N cancers to assess the impact of this new therapeutic strategy in patient's managements.

Materials and Methods

Search strategy. PubMed and Scopus electronic databases were searched for articles published until 15th August 2017. Articles published in English and with no time limits were included in this review. Reviews, case reports and non-human studies were excluded. Studies were identified and evaluated by two of the authors (E.F. and M.F.) combining the following major medical subject headings: “GTV delineation”, “head and neck cancer”, and “radiotherapy” or “adaptive radiotherapy” in combination with “PET”. Additional eligible studies were identified by screening the reference lists of the studies found.

Inclusion criteria. Studies were excluded if the title and/or abstract was not appropriate for the aim of the review. The full text of eligible studies and of studies whose relevance was uncertain were obtained. Selected studies were eligible if they met the following criteria: (i) clinical trials, (ii) studies including patients with H&N cancer treated with 18F-FDG PET-guided RT, (iii) studies including the comparison between 18F-FDG PET and CT-based definition of target volumes in RT (planning studies) or studies including PET-guided ART aimed to plan boost irradiation on metabolically active residual neoplasm (re-planning studies).

Results

In literature a 18F-FDG-PET and CT-scan comparison in GTV definition for RT planning of head and neck cancer is shown in twenty-seven clinical trials with a total of 712 patients. Only two clinical trials focused on PET-guided adaptive radiotherapy (ART) for head and neck cancer were available with a total of 31 patients.

Discussion

Role of 18F-FDG PET in radiation oncology: benefits and potential issues. 18F-FDG is the most popular radio-tracer used in oncology and its use is increased also in patients treated with RT (16). Currently, some authors nearly considered 18F-FDG PET/CT as a routine test in RT practice to contour target volumes (both primary tumor and metastatic lymph nodes) in patients with H&N carcinoma, decreasing inter- and intra-observer variability and increasing the conformity to real tumor boundaries (17, 18). In fact, its use is able to achieve a more accurate and precise definition of GTV boundaries, reducing also the risk of possible under- or over-treatment of the real tumor volume based only on morphological imaging especially in combination with CT-scan. Obviously, in case of difficulties in boundaries contouring, other imaging modalities in addition to 18F-FDG PET/CT can be used to better define tumor limits (19). Several studies compared the use of 18F-FDG PET and CT-scan in target volumes definition showing, in the majority of cases, that 18F-PET-based target volumes are smaller than CT-scan-based ones with statistically significant differences (Table I) (20-46).

Moreover, the delineation of GTV and standardized uptake value (SUV) levels evaluation allows the design of dose escalation strategies, improving the possibility to identify tumor subvolumes with higher risk of recurrences (17, 47-50). 18F-FDG PET may be useful even as a prognostic factor due to the ability to early detect tumor recurrences (15-18, 51-54).

The main problem in the use of 18F-FDG PET during RT is the presence of possible false positive results, due to the rise of radiation-induced inflammatory areas leading to incorrect target volumes expansion (15, 17). For Hentschel et al. (55) the mismatch due to inflammation between viable tumor and target volume based on a per-treatment 18F-FDG PET is already evident after the delivery of >20 Gy during radio-chemotherapy. Currently, the presence of radiation-induced inflammation in normal tissues also leads to investigate the use of other radiotracers as 3’-deoxy-3’-[18F]fluorothymidine (FLT), [18F]-fluoromisonidazole (FMISO), [18F]-fluoroazomycin (FAZA), and [60Cu]-diacetyl-bis(N(4)-methylthiosemicarbazone (ATSM) (56). However, 18F-FDG still remains the most frequently used molecular radiotracer mainly because of its higher availability (16).

18F-FDG PET-based ART: debated aspects in head and neck radiation treatment. Although 3D-conformal radiotherapy (3D-CRT) and intensity modulated radiotherapy (IMRT) represent the gold standard for H&N cancer treatment, several aspects remain debated. Primarily, the treated volumes (volumes receiving the prescribed dose) are still wide despite their technological progress, and this has an important impact on tissue toxicity (57). Furthermore, tumor volumes and OaRs as salivary gland, mucosae and muscles may be subjected to changes during RT. Also, patient weight loss can modify the position of anatomical structures (57). Kupelian et al. (57) observed that these modifications are more evident in HPV positive cancers where tumor volume changes suggest a faster response to RT. Modifications occurring during RT are both anatomical and functional and they can lead to an incorrect dose distribution with a potential underdosage of tumor volumes, overdosage of OaRs, and increased volumes receiving high doses (58).

18F-FDG PET-based ART: aims and characteristics. 18F-FDG PET-guided ART represents a technique potentially able to reduce and correct both anatomical and metabolical changes due to improved dose coverage tailoring. In fact, 18F-FDG PET is able to show metabolical changes before the occurrence of anatomical ones (59). Furthermore 18F-FDG PET offers the possibility to guide ART distinguishing between radioresistant and radioresponder areas leading to dose redistribution with increased dose to the most active residual areas of the GTV (16, 53).

GTV evaluation during treatment is crucial for ART being the region with higher tumor cell density and therefore the more prone to local recurrence (11, 15). In fact, replanning of dose distribution can follow the new target volumes silhouette adapting to volume shrinks and shifts (60, 61). Geets et al. (60, 62) stated that this may lead to future dose escalation studies and to increased RT efficacy, especially using highly conformed techniques and a Simultaneous Integrated Boost (SIB) approach on the shrunk volume with better sparing of the adjacent healthy areas and thus respecting their dose constraints. A concept study by the same authors (62) showed the feasibility of a helical-tomotherapy-based adaptive IMRT in a pharyngolaryngeal carcinoma. The authors reported a decreased GTV throughout the radiation course using both anatomic and 18F-FDG PET functional imaging (p<0.001) leading also to CTV and PTV reduction. On the contrary this technique had a limited impact on doses to selected OARs (spinal cord, ipsilateral and controlateral parotid, oral cavity) compared to a nonadaptive technique.

ART and dose painting technique. Potentially improved results could be theoretically achieved through dose painting technique where higher radiation doses are delivered to target subvolumes (dose painting by contours) or to single different voxels based on their SUV intensity (dose painting by numbers). In fact, taking into account the correlation between 18F-FDG uptake and the risk of local recurrences, a heterogeneous dose may be delivered in order to boost specific “high risk” subvolumes (49, 63-64). The purpose is to achieve a radiation biological conformity and not only a physical one, considering also the heterogeneity of tumor biology due to differences in terms of hypoxia and proliferation (48, 56, 63).

Moreover, in the H&N region, several OaRs as oral cavity, mandible, salivary glands and inner ears are close to RT target (17). Planning modifications can lead not only to better tumor coverage but also to a better OARs sparing and thus to reduced incidence of side-effects.

Castadot (58) showed that during radiotherapy, CT-scan alone can improve target volumes delineation and can be considered as a valid approach. However, 18F-FDG PET seems the better option for dose painting (65). In fact “dose painting by numbers” implies signal conversion from voxel levels to heterogeneous dose prescription and computation of the total dose (66) taking into account the possible target volumes propagation involving the growth of “newborn” and “orphan” areas (67).

Currently, only one center (68, 69) reported on clinical experience on dose painting in 18F-FDG PET-guided ART.

In a comparative dosimetric study by Olteanu et al. (70) ART seems to be superior to non-ART treatments due to the possibility of dose painting rearrangement. This resulted in an increased minimum dose and in a reduced maximum dose to target volumes and in a lower dose to OaRs with an overall improvement of planning results. Moreover, with ART, small tumor volumes have a greater possibility for dose escalation with OaRs saving through the use of a SIB or dose painting by numbers (19).

Technical issues. Geets et al. (60) showed in a concept study that an automatic method of PET imaging segmentation during RT is not adequate due to the difficulty in distinguishing residual neoplasms from normal benign tissue reactions. Olteanu et al. (67) reported that an ART planning can also last a whole working day and thus a non-rigid image coregistration with the deformation of target volumes boundaries followed by manual control may improve feasibility. Castadot et al. (71, 72) confirmed the low feasibility of ART planning in clinical routine without an automatic method of volume delineation. Even these authors highlighted how the use of a deformable method of segmentation can be useful in 18F-FDG PET-guided ART (71, 72). In fact, this method can spare 26-47% of total contouring time in replanning and can reduce the inter- and intraobserver variations compared to rigid registration. This different approach allows an automatic re-delineation of target volumes using a corresponding deformation map of the target volumes contoured before. In their first clinical trial, Duprez and colleagues (68) defined the total dose with a rigid image registration, while Berwouts and coworkers (69) used a deformable image co-registration method for total dose calculation, for target volumes propagation facilitating targets re-contouring, and thus decreasing the working time. Obviously, the intervention of a radiation oncologist is needed to check, monitor, and eventually correct the adapted volumes (67). The manual adjustment by the physician creates the mismatch between voxels (original voxels in pre-treatment CT-scan and their corresponding voxels in per-treatment CT-scan), creating newborn and orphan voxels (67). The tiny swallowing structures are the most common areas of adjustment (67). Deformable coregistration allows to decrease the replanning time up to 10 minutes for patients coregistration, deformation of volumes of interest, and creation of a dose map, and to around 1 hour for expert radiation oncologist review.

View this table:
  • View inline
  • View popup
Table I.

18F-FDG PET and CT-scan comparison in GTV definition for radiotherapy planning of H&N cancer.

Replanning time and frequency. Monitoring per-treatment target volumes, OaRs anatomical shrinkage, metabolical modifications, and the consequent replanning are at the basis of ART. However, the optimal time of replanning is not clear. The results of Duprez and colleagues clinical trial (68) suggest that PET re-imaging can be performed during the first week of treatment but they also observed that target volumes show a significant reduction appropriate for dose-painting technique after 8 fractions.

For Geets and collegues (62) a treatment plan based only on pre-treatment imaging is only a simplification of the entire treatment but even one single re-imaging and consequent replanning at the mid-treatment does not give relevant benefit. In fact anatomic and functional changes occur during the entire RT duration and it is important to take into account also the onset of actinic inflammation creating noisier imaging difficult to assess. Also, the group of Ghent University Hospital used two replanning for each radiation treatment in their two clinical trials (68, 69). In fact, a single replanning is not considered sufficient to detect all target variations occurring during the therapy.

For Geets and colleagues (62) the optimal time for reimaging and replanning is during the first 2 or 3 treatment weeks of a conventional protocol. For Differding et al. (66) a decrease of target volumes can be shown in the first radiation treatment week. However, replanning is considered optimal after two treatment weeks but no later due to increasing edema and inflammation and the consequent difficult to distinguish boundaries.

Dose summation. Currently, the summation of the distributed dose is a challenge (68). The dose count of all treatment plans of the whole RT cycle is a crucial point also for a correct outcome evaluation (69). Olteanu et al. (67) proposed different methods of dose summation taking into account, in different ways, of “orphans” and “newborn” areas (chronological and antichronological methods).

The anti-chronological method shows the summation of the total doses including those of “orphan” voxel areas as a summation of all ROIs in pre-treatment CT. On the contrary, in the chronological method the doses are calculated in a CT-scan performed the last day of RT including “newborn” voxel doses. Obviously, the choice of the count method is essential for treatment evaluation also because the total dose can result different depending on the used approach (69).

View this table:
  • View inline
  • View popup
  • Download powerpoint
Table II.

Clinical trials: patients and tumor characteristics.

View this table:
  • View inline
  • View popup
  • Download powerpoint
Table III.

Clinical trials: studies design and treatment characteristics.

18F-FDG PET-based ART: clinical trials. In literature only two papers, both published by authors from Ghent University Hospital, Belgium, are available (68, 69). Both clinical trials had a prospective design: one was a phase I study (69) and the other was a phase I dose escalation study (68) with a total of 31 patients. Patients and clinicopathologic features, imaging, treatment data and results of these clinical trials are summarized in Tables II, III and IV.

In both clinical trials radiation treatment was divided into three consecutive phases (phase I: from 1st to 10th fraction, phase II: from 11th to 20th fraction and phase III: from 21st to 32nd fraction) with three different treatment plans. Megavoltage external beam RT was delivered in both studies with “dose painting by numbers” IMRT based on pre- and per-treatment functional imaging in all phases with the exception of conventional IMRT (delivery of uniform doses) performed in the 3rd phase in Duprez et al. (68) study.

In both trials re-imaging was performed with 18F-FDG PET/CT at 8th fraction with consequent treatment replanning. The new radiation planning started in the nearby next phase (II phase). In Berwouts study (69) a second 18F-FDG PET/CT re-imaging was performed at 18th fraction performed with consequent treatment replanning in the III phase. On the contrary, in Duprez study (68) the III phase was based on a RT plan created on previously identified per-treatment volumes. In Duprez study (68) the definition of the total dose sum was performed through a rigid CT and PET registration method. On the contrary, Berwouts et al. (69) used a deformable image co-registration method both for the target volumes propagation and for total dose calculation.

View this table:
  • View inline
  • View popup
  • Download powerpoint
Table IV.

Clinical trials: results.

In both studies no acute G4 toxicity able to discontinue the treatment, assessed by the CTCAE (Common Toxicity Criteria for Adverse Effects) v. 2, was recorded. An update of the dose-escalation study (73) showed also no G4 toxicity after a median of 38 and 22 months of follow-up for dose level I and II, respectively. The median dose of 80.9 Gy resulted as the maximum tolerated dose (MTD) recorded in 3-month follow-up (73). An actuarial local and regional control of 95 and 93% respectively and 68% of freedom from distant metastasis after 2 years of follow-up was recorded (73). During follow-up a 42.8% rate of patient's death was recorded (44.4% of deaths caused by progressive disease). In the most recent study Berwouts et al. (69) reported 70% of complete response at 3rd month follow-up and 90% complete response rate (with the exception of 1 patient who undergone pathological lymph node dissection after RT) and 90% of overall survival after a median follow-up of 13 months.

Conclusion

The growing interest in 18F-FDG PET capacities in defining hypermetabolic areas has brought to an increased use of this technique in RT planning and particularly in target volumes definition of H&N cancer. Moreover 18F-FDG PET-guided ART can be considered a new strategy in the treatment of H&N cancer. The integration of anatomic and metabolic data is potentially useful to evaluate cancer biology and radiation resistance during RT. The study of these features and the evaluation of mismatch between dose distribution and target volumes allow to define an adapted high dose volume significantly smaller compared to pre-treatment plan although requiring a demanding work for replanning (58). The expected results are a more individualized therapy with improved dose distribution and locoregional control, a decreased probability of recurrences and toxicity and therefore a better therapeutic ratio (18, 53). Using repeated CT-scan it is possible to achieve 70% GTV shrunk during RT (7 weeks) (74) while with 18F-FDG PET this data is difficult to be defined due to the scarce number of available studies. In fact, based on the small number of published studies, no strong evidence on 18F-FDG PET-guided ART is available. Though ART seems to be superior to standard planning strategies because of better target coverage and improved OaRs sparing, there are several unsolved questions such as timing and frequency of re-planning, re-planning procedures, validation of fast segmentation tools taking into account non-uniform anatomical and metabolical volume modifications, and dose summation methods (13, 70). In a recent study, Brouwer et al. (75) highlighted some pre-therapy predictive factors potentially used to identify patients who may benefit more from ART (e.g. tumor site and parotid glands planned dose). However, specific studies reporting data to identify clinical, biological and technical issues to select patients for 18F-FDG PET-guided ART are still lacking (58).

Currently, the lack of strong evidence on 18F-FDG PET-guided ART leads to consider it a not-routine technique and to take into account also the cost-effort/effectiveness balances. Therefore, its validation will require future phase II and III trials.

Acknowledgements

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sector.

Footnotes

  • This Article is freely accessible online.

  • Conflicts of Interest

    The Authors declare that they have no conflicts of interest.

  • Received September 14, 2017.
  • Revision received October 14, 2017.
  • Accepted October 17, 2017.
  • Copyright© 2017, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved

References

  1. ↵
    1. Halperin EC,
    2. Wazer DE,
    3. Perez CA,
    4. Brady LW
    1. Brizel DM,
    2. Adelstein DJ
    : Locally advanced squamous carcinoma of the head and neck. In: Perez and Brady's principles and practice of radiation oncology (6th ed.) Halperin EC, Wazer DE, Perez CA, Brady LW (eds.). Philadelphia, Lippincott Williams & Wilkins, pp. 718-729, 2013.
  2. ↵
    1. Jemal A,
    2. Bray F,
    3. Center MM,
    4. Ferlay J,
    5. Ward E,
    6. Forman D
    : Global cancer statistics. CA Cancer J Clin 61: 69-90, 2011.
    OpenUrlCrossRefPubMed
  3. ↵
    1. Pignon JP,
    2. Ie Maitre A,
    3. Maillard E,
    4. Bourhis J
    : Meta-analysis of chemotherapy in head and neck cancer (MACH-NC): an update on 93 randomised trials and 17,346 patients. Radiother Oncol 92: 4-14, 2009.
    OpenUrlCrossRefPubMed
  4. ↵
    1. Forastiere A,
    2. Koch W,
    3. Trotti A,
    4. Sidransky D
    : Head and neck cancer. N Engl J Med 345: 1890-1900, 2001.
    OpenUrlCrossRefPubMed
  5. ↵
    1. Brizel DM,
    2. Vokes EE
    : Induction chemotherapy to use or not to use? That is the question. Semin Radiat Oncol 19: 11-16, 2009.
    OpenUrlPubMed
  6. ↵
    1. Yao M,
    2. Nguyen T,
    3. Buatti JM,
    4. Dornfield KJ,
    5. Tan H,
    6. Wacha J,
    7. Bayouth JE,
    8. Clamon GH,
    9. Funk GF,
    10. Smith RB,
    11. Chang K,
    12. Hoffman HT
    : Changing failure patterns in oropharyngeal squamous cell carcinoma treated with intensity modulated radiotherapy and implications for future research. Am J Clin Oncol 29: 606-612, 2006.
    OpenUrlCrossRefPubMed
    1. Chao KS,
    2. Ozyigit G,
    3. Tran BN,
    4. Cengiz M,
    5. Dempsey JF,
    6. Low D
    : Patterns of failure in patients receiving definitive and postoperative IMRT for head-and-neck cancer. Int J Radiat Oncol Biol Phys 55: 312-321, 2003.
    OpenUrlCrossRefPubMed
    1. Lauve A,
    2. Morris M,
    3. Schmidt-Ullrich R,
    4. Wu Q,
    5. Mohan R,
    6. Abayomi O,
    7. Buck D,
    8. Holdford D,
    9. Dawson K,
    10. Dinardo L,
    11. Reiter E
    : Simultaneous integrated boost intensity-modulated radiotherapy for locally advanced head-and-neck squamous cell carcinomas: II--clinical results. Int J Radiat Oncol Biol Phys 60: 374-387, 2004.
    OpenUrlPubMed
    1. Feng M,
    2. Jabbari S,
    3. Lin A,
    4. Bradford CR,
    5. Chepeha DB,
    6. Teknos TN,
    7. Worden FP,
    8. Tsien C,
    9. Schipper MJ,
    10. Wolf GT,
    11. Dawson LA,
    12. Eisbruch A
    : Predictive factors of local-regional recurrences following parotid sparing intensity modulated or 3D conformal radiotherapy for head and neck cancer. Radiother Oncol 77: 32-38, 2005.
    OpenUrlCrossRefPubMed
    1. Dawson LA,
    2. Anzai Y,
    3. Marsh L,
    4. Martel MK,
    5. Paulino A,
    6. Ship JA,
    7. Eisbruch A
    : Patterns of local-regional recurrence following parotid-sparing conformal and segmental intensity-modulated radiotherapy for head and neck cancer. Int J Radiat Oncol Biol Phys 46: 1117-1126, 2000.
    OpenUrlCrossRefPubMed
  7. ↵
    1. Soto DE,
    2. Kessler ML,
    3. Piert M,
    4. Eisbruch A
    : Correlation between pretreatment FDG-PET biological target volume and anatomical location of failure after radiation therapy for head and neck cancers. Radiother Oncol 89: 13-18, 2008.
    OpenUrlCrossRefPubMed
  8. ↵
    1. Grosu A,
    2. Piert M,
    3. Molls M
    : Experience of PET for target localisation in radiation oncology. Br J Radiol 78: 18-32, 2005.
    OpenUrl
  9. ↵
    1. Thorwarth D
    : Functional imaging for radiotherapy treatment planning: current status and future directions-a review. Br J Radiol 88: 20150056, 2015.
    OpenUrlPubMed
    1. Hoang JK,
    2. Das SK,
    3. Choudhury KR,
    4. Yoo DS,
    5. Brizel DM
    : Using FDG-PET to measure early treatment response in head and neck squamous cell carcinoma: quantifying intrinsic variability in order to understand treatment-induced change. AJNR Am J Neuroradiol 34: 1428-1433, 2013.
    OpenUrlAbstract/FREE Full Text
  10. ↵
    1. Grégoire V,
    2. Chiti A
    : Molecular imaging in radiotherapy planning for head and neck tumors. J Nucl Med 52: 331-334, 2011.
    OpenUrlAbstract/FREE Full Text
  11. ↵
    1. Jeraj R,
    2. Bradshaw TJ,
    3. Simoncic U
    : Molecular Imaging to Plan Radiotherapy and Evaluate its Efficacy. J Nucl Med 56: 1752-1765, 2015.
    OpenUrlAbstract/FREE Full Text
  12. ↵
    1. Minn H,
    2. Suilamo S,
    3. Seppälä J
    : Impact of PET/CT on planning of radiotherapy in head and neck cancer. Q J Nucl Med Mol Imaging 54: 521-532, 2010.
    OpenUrlPubMed
  13. ↵
    1. Bhatnagar P,
    2. Subesinghe M,
    3. Patel C,
    4. Prestwich R,
    5. Scarsbrook AF
    : Functional imaging for radiation treatment planning, response assessment, and adaptive therapy in head and neck cancer. Radiographics 33: 1909-1929, 2013.
    OpenUrlCrossRefPubMed
  14. ↵
    1. Moule RN,
    2. Kayani I,
    3. Prior T,
    4. Lemon C,
    5. Goodchild K,
    6. Sanghera B,
    7. Wong WL,
    8. Saunders MI
    : Adaptive 18fluoro-2-deoxyglucose positron emission tomography/computed tomography-based target volume delineation in radiotherapy planning of head and neck cancer. Clin Oncol (R Coll Radiol) 23: 364-371, 2011.
    OpenUrlPubMed
  15. ↵
    1. Ciernik IF,
    2. Dizendorf E,
    3. Baumert BG,
    4. Reiner B,
    5. Burger C,
    6. Davis JB,
    7. Lütolf UM,
    8. Steinert HC,
    9. Von Schulthess GK
    : Radiation treatment planning with an integrated positron emission and computer tomography (PET/CT): a feasibility study. Int J Radiat Oncol Biol Phys 57: 853-863, 2003.
    OpenUrlCrossRefPubMed
    1. Daisne JF,
    2. Duprez T,
    3. Weynand B,
    4. Lonneux M,
    5. Hamoir M,
    6. Reychler H,
    7. Grégoire V
    : Tumor volume in pharyngolaryngeal squamous cell carcinoma: comparison at CT, MR imaging, and FDG PET and validation with surgical specimen. Radiology 233: 93-100, 2004.
    OpenUrlCrossRefPubMed
    1. Geets X,
    2. Daisne JF,
    3. Gregoire V,
    4. Hamoir M,
    5. Lonneux M
    : Role of 11-C-methionine positron emission tomography for the delineation of the tumor volume in pharyngo-laryngeal squamous cell carcinoma: comparison with FDG-PET and CT. Radiother Oncol 71: 267-273, 2004.
    OpenUrlCrossRefPubMed
    1. Heron DE,
    2. Andrade RS,
    3. Flickinger J,
    4. Johnson J,
    5. Agarwala SS,
    6. Wu A,
    7. Kalnicki S,
    8. Avril N
    : Hybrid PET-CT simulation for radiation treatment planning in head-and-neck cancers: a brief technical report. Int J Radiat Oncol Biol Phys 60: 1419-1424, 2004.
    OpenUrlCrossRefPubMed
    1. Scarfone C,
    2. Lavely WC,
    3. Cmelak AJ,
    4. Delbeke D,
    5. Martin WH,
    6. Billheimer D,
    7. Hallahan DE
    : Prospective feasibility trial of radiotherapy target definition for head and neck cancer using 3-dimensional PET and CT imaging. J Nucl Med 45: 543-552, 2004.
    OpenUrlAbstract/FREE Full Text
    1. Paulino AC,
    2. Koshy M,
    3. Howell R,
    4. Schuster D,
    5. Davis LW
    : Comparison of CT- and FDG-PET-defined gross tumor volume in intensity-modulated radiotherapy for head-and-neck cancer. Int J Radiat Oncol Biol Phys 61: 1385-1392, 2005.
    OpenUrlCrossRefPubMed
    1. Breen SL,
    2. Publicover J,
    3. De Silva S,
    4. Pond G,
    5. Brock K,
    6. O' Sullivan B,
    7. Cummings B,
    8. Dawson L,
    9. Keller A,
    10. Kim J,
    11. Ringash J,
    12. Yu E,
    13. Hendler A,
    14. Waldron J
    : Intraobserver and interobserver variability in GTV delineation on FDG-PET-CT images of head and neck cancers. Int J Radiat Oncol Biol Phys 68: 763-770, 2007.
    OpenUrlPubMed
    1. Wang D,
    2. Schultz CJ,
    3. Jursinic PA,
    4. Bialkowski M,
    5. Zhu XR,
    6. Brown WD,
    7. Rand SD,
    8. Michel MA,
    9. Campbell BH,
    10. Wong S,
    11. Li XA,
    12. Wilson JF
    : Initial experience of FDG-PET/CT guided IMRT of head-and-neck carcinoma. Int J Radiat Oncol Biol Phys 65: 143-151, 2006.
    OpenUrlCrossRefPubMed
    1. Ashamalla H,
    2. Guirgius A,
    3. Bieniek E,
    4. Rafla S,
    5. Evola A,
    6. Goswami G,
    7. Oldroyd R,
    8. Mokhtar B,
    9. Parikh K
    : The impact of positron emission tomography/computed tomography in edge delineation of gross tumor volume for head and neck cancers. Int J Radiat Oncol Biol Phys 68: 388-395, 2007.
    OpenUrlPubMed
    1. El-Bassiouni M,
    2. Ciernik IF,
    3. Davis JB,
    4. El-Attar I,
    5. Reiner B,
    6. Burger C,
    7. Goerres GW,
    8. Studer GM
    : [18FDG] PET-CT-based intensity-modulated radiotherapy treatment planning of head and neck cancer. Int J Radiat Oncol Biol Phys 69: 286-293, 2007.
    OpenUrlCrossRefPubMed
    1. Schinagl DA,
    2. Vogel WV,
    3. Hoffmann AL,
    4. van Dalen JA,
    5. Oyen WJ,
    6. Kaanders JH
    : Comparison of five segmentation tools for 18F-fluoro-deoxy-glucose-positron emission tomography-based target volume definition in head and neck cancer. Int J Radiat Oncol Biol Phys 69: 1282-1289, 2007.
    OpenUrlCrossRefPubMed
    1. Newbold KL,
    2. Partridge M,
    3. Cook G,
    4. Sharma B,
    5. Rhys-Evans P,
    6. Harrington KJ,
    7. Nutting CM
    : Evaluation of the role of 18FDG-PET/CT in radiotherapy target definition in patients with head and neck cancer. Acta Oncol 47: 1229-1236, 2008.
    OpenUrlCrossRefPubMed
    1. Deantonio L,
    2. Beldì D,
    3. Gambaro G,
    4. Loi G,
    5. Brambilla M,
    6. Inglese E,
    7. Krengli M
    : FDG-PET/CT imaging for staging and radiotherapy treatment planning of head and neck carcinoma. Radiat Oncol 3: 29, 2008.
    OpenUrlCrossRefPubMed
    1. de Figueiredo HB,
    2. Barret O,
    3. Demeaux H,
    4. Lagarde P,
    5. De-Mones-Del-Pujol E,
    6. Kantor G,
    7. Clermont-Gallerande H,
    8. Richaud P,
    9. Fernandez P
    : Comparison between CT- and FDG-PET-defined target volumes for radiotherapy planning in head-and-neck cancers. Radiother Oncol 93: 479-482, 2009.
    OpenUrlCrossRefPubMed
    1. Dirix P,
    2. Vandecaveye V,
    3. De Keyzer F,
    4. Stroobants S,
    5. Hermans R,
    6. Nuyts S
    : Dose painting in radiotherapy for head and neck squamous cell carcinoma: value of repeated functional imaging with (18)F-FDG PET, (18)F-fluoromisonidazole PET, diffusion-weighted MRI, and dynamic contrast-enhanced MRI. J Nucl Med 50: 1020-1027, 2009.
    OpenUrlAbstract/FREE Full Text
    1. Guido A,
    2. Fuccio L,
    3. Rombi B,
    4. Castellucci P,
    5. Cecconi A,
    6. Bunkheila F,
    7. Fuccio C,
    8. Spezi E,
    9. Angelini AL,
    10. Barbieri E
    : Combined 18F-FDG-PET/CT imaging in radiotherapy target delineation for head-and-neck cancer. Int J Radiat Oncol Biol Phys 73: 759-763, 2009.
    OpenUrlCrossRefPubMed
    1. Igdem S,
    2. Alço G,
    3. Ercan T,
    4. Unalan B,
    5. Kara B,
    6. Geceer G,
    7. Akman C,
    8. Zengin FO,
    9. Atilla S,
    10. Okkan S
    : The application of positron emission tomography/computed tomography in radiation treatment planning: effect on gross target volume definition and treatment management. Clin Oncol (R Coll Radiol) 22: 173-178, 2010.
    OpenUrlPubMed
    1. Delouya G,
    2. Igidbashian L,
    3. Houle A,
    4. Bélair M,
    5. Boucher L,
    6. Cohade C,
    7. Beaulieu S,
    8. Filion EJ,
    9. Coulombe G,
    10. Hinse M,
    11. Martel C,
    12. Després P,
    13. Nguyen-Tan PF
    : 18F-FDG-PET imaging in radiotherapy tumor volume delineation in treatment of head and neck cancer. Radiother Oncol 101: 362-368, 2011.
    OpenUrlCrossRefPubMed
    1. Kajitani C,
    2. Asakawa I,
    3. Uto F,
    4. Katayama E,
    5. Inoue K,
    6. Tamamoto T,
    7. Shirone N,
    8. Okamoto H,
    9. Kirita T,
    10. Hasegawa M
    : Efficacy of FDG-PET for defining gross tumor volume of head and neck cancer. J Radiat Res 54: 671-678, 2013.
    OpenUrlCrossRefPubMed
    1. Fried D,
    2. Lawrence M,
    3. Khandani AH,
    4. Rosenman J,
    5. Cullip T,
    6. Chera BS
    : Is image registration of fluorodeoxyglucose–positron emission tomography/computed tomography for head-and-neck cancer treatment planning necessary? Int J Radiat Oncol Biol Phys 84: 748-754, 2012.
    OpenUrlPubMed
    1. Perez-Romasanta LA,
    2. Bellon-Guardia M,
    3. Torres-Donaire J,
    4. Lozano-Martin E,
    5. Sanz-Martin M,
    6. Velasco-Jimenez J
    : Tumor volume delineation in head and neck cancer with 18-fluor-fluorodeoxiglucose positron emission tomography: adaptive thresholding method applied to primary tumors and metastatic lymph nodes. Clin Transl Oncol 15: 283-293, 2013.
    OpenUrlPubMed
    1. Venkada MG,
    2. Rawat S,
    3. Choudhury P,
    4. Rajesh T,
    5. Rao S,
    6. Khullar P,
    7. Kakria A
    : A quantitative comparison of gross tumour volumes delineated on [18F]-FDG PET-CT scan and CECT scan in head and neck cancers. Indian J Nucl Med 27: 95-100, 2012.
    OpenUrlPubMed
    1. Anderson CM,
    2. Sun W,
    3. Buatti JM,
    4. Maley JE,
    5. Policeni B,
    6. Mott SL,
    7. Bayouth JE
    : Interobserver and intermodality variability in GTV delineation on simulation CT, FDG-PET, and MR Images of Head and Neck Cancer. Jacobs J Radiat Oncol 1: 006, 2014.
    OpenUrlPubMed
    1. Arslan S,
    2. Abakay CD,
    3. Sen F,
    4. Altay A,
    5. Akpinar T,
    6. Ekinci AS,
    7. Esbah O,
    8. Uslu N,
    9. Kekilli KE,
    10. Ozkan L
    : Role of PET/CT in treatment planning for head and neck cancer patients undergoing definitive radiotherapy. Asian Pac J Cancer Prev 15: 10899-10903, 2014.
    OpenUrlPubMed
    1. Bird D,
    2. Scarsbrook AF,
    3. Sykes J,
    4. Ramasamy S,
    5. Subesinghe M,
    6. Carey B,
    7. Wilson DJ,
    8. Roberts N,
    9. McDermott G,
    10. Karakaya E,
    11. Bayman E,
    12. Sen M,
    13. Speight R,
    14. Prestwich RJD
    : Multimodality imaging with CT, MR and FDG-PET for radiotherapy target volume delineation in oropharyngeal squamous cell carcinoma. BMC Cancer 15: 844, 2015.
    OpenUrlCrossRefPubMed
    1. Chauhan D,
    2. Rawat S,
    3. Sharma MK,
    4. Ahlawat P,
    5. Pal M,
    6. Gupta G,
    7. Dewan A,
    8. Gupta M,
    9. Sharma S,
    10. Dodagoudar C,
    11. Pahuja A,
    12. Mitra S,
    13. Sharma SK
    : Improving the accuracy of target volume delineation by combined use of computed tomography, magnetic resonance imaging and positron emission tomography in head and neck carcinomas. J Cancer Res Ther 11: 746-751, 2015.
    OpenUrlPubMed
  16. ↵
    1. Leclerc M,
    2. Lartigau E,
    3. Lacornerie T,
    4. Daisne JF,
    5. Kramar A,
    6. Grégoire V
    : Primary tumor delineation based on (18)FDG PET for locally advanced head and neck cancer treated by chemoradiotherapy. Radiother Oncol 116: 87-93, 2015.
    OpenUrlPubMed
  17. ↵
    1. Seol YM,
    2. Kwon BR,
    3. Song MK,
    4. Choi YJ,
    5. Shin HJ,
    6. Chung JS,
    7. Cho GJ,
    8. Lee JC,
    9. Lee BJ,
    10. Wang SG,
    11. Kim HJ,
    12. Kim WT,
    13. Kim SJ,
    14. Yun EY
    : Measurement of tumor volume by PET to evaluate prognosis in patients with head and neck cancer treated by chemo-radiation therapy. Acta Oncol 49: 201-208, 2010.
    OpenUrlCrossRefPubMed
  18. ↵
    1. Aerts HJ,
    2. Lambin P,
    3. Ruysscher DD
    : FDG for dose painting: a rational choice. Radiother Oncol 97: 163-164, 2010.
    OpenUrlCrossRefPubMed
  19. ↵
    1. Due AK,
    2. Vogelius IR,
    3. Aznar MC,
    4. Bentzen SM,
    5. Berthelsen AK,
    6. Korreman SS,
    7. Loft A,
    8. Kristensen CA,
    9. Specht L
    : Recurrences after intensity modulated radiotherapy for head and neck squamous cell carcinoma more likely to originate from regions with high baseline [18F]-FDG uptake. Radiother Oncol 111: 360-365, 2014.
    OpenUrlCrossRefPubMed
  20. ↵
    1. Soto DE,
    2. Kessler ML,
    3. Piert M,
    4. Eisbruch A
    : Correlation between pretreatment FDG-PET biological target volume and anatomical location of failure after radiation therapy for head and neck cancers. Radiother Oncol 89: 13-18, 2008.
    OpenUrlCrossRefPubMed
  21. ↵
    1. Mittra E,
    2. Quon A
    : Positron emission tomography/computed tomography: the current technology and applications. Radiol Clin North Am 47: 147-160, 2009.
    OpenUrlCrossRefPubMed
    1. Bussink J,
    2. van Herpen CM,
    3. Kaanders JH,
    4. Oyen WJ
    : PET-CT for response assessment and treatment adaptation in head and neck cancer. Lancet Oncol 11: 661-669, 2010.
    OpenUrlCrossRefPubMed
  22. ↵
    1. Hoeben BA,
    2. Bussink J,
    3. Troost EG,
    4. Oyen WJ,
    5. Kaanders JH
    : Molecular PET imaging for biology-guided adaptive radiotherapy of head and neck cancer. Acta Oncol 52: 1257-1271, 2013.
    OpenUrlPubMed
  23. ↵
    1. Hoshikawa H,
    2. Kishino T,
    3. Nishiyama Y,
    4. Yamamoto Y,
    5. Yonezaki M,
    6. Mori N
    : Early prediction of local control in head and neck cancer after chemoradiotherapy by FDG-PET. Nucl Med Commun 32: 684-689, 2011.
    OpenUrlCrossRefPubMed
  24. ↵
    1. Hentschel M,
    2. Appold S,
    3. Schreiber A,
    4. Abramyuk A,
    5. Abolmaali N,
    6. Kotzerke J,
    7. Baumann M,
    8. Zöphel K
    : Serial FDG-PET on patients with head and neck cancer: implications for radiation therapy. Int J Radiat Biol 85: 796-804, 2009.
    OpenUrlPubMed
  25. ↵
    1. Thorwarth D,
    2. Eschmann SM,
    3. Paulsen F,
    4. Alber M
    : Hypoxia dose painting by numbers: a planning study. Int J Radiat Oncol Biol Phys 68: 291-300, 2007.
    OpenUrlCrossRefPubMed
  26. ↵
    1. Kupelian P,
    2. Sonke JJ
    : Magnetic resonance-guided adaptive radiotherapy: a solution to the future. Semin Radiat Oncol 24: 227-232, 2014.
    OpenUrlPubMed
  27. ↵
    1. Castadot P,
    2. Geets X,
    3. Lee JA,
    4. Grégoire V
    : Adaptive functional image-guided IMRT in pharyngo-laryngeal squamous cell carcinoma: is the gain in dose distribution worth the effort? Radiother Oncol 101: 343-350, 2011.
    OpenUrlCrossRefPubMed
  28. ↵
    1. Hoang JK,
    2. Das SK,
    3. Choudhury KR,
    4. Yoo DS,
    5. Brizel DM
    : Using FDG-PET to measure early treatment response in head and neck squamous cell carcinoma: quantifying intrinsic variability in order to understand treatment-induced change. AJNR Am J Neuroradiol 34: 1428-1433, 2013.
    OpenUrlAbstract/FREE Full Text
  29. ↵
    1. Geets X,
    2. Daisne JF,
    3. Tomsej M,
    4. Duprez T,
    5. Lonneux M,
    6. Grégoire V
    : Impact of the type of imaging modality on target volumes delineation and dose distribution in pharyngo-laryngeal squamous cell carcinoma: comparison between pre- and per-treatment studies. Radiother Oncol 78: 291-297, 2006.
    OpenUrlCrossRefPubMed
  30. ↵
    1. Mohan R,
    2. Zhang X,
    3. Wang H,
    4. Kang Y,
    5. Wang X,
    6. Liu H,
    7. Ang KK,
    8. Kuban D,
    9. Dong L
    : Use of deformed intensity distributions for on-line modification of image-guided IMRT to account for interfractional anatomic changes. Int J Radiat Oncol Biol Phys 61: 1258-1266, 2005.
    OpenUrlCrossRefPubMed
  31. ↵
    1. Geets X,
    2. Tomsej M,
    3. Lee JA,
    4. Duprez T,
    5. Coche E,
    6. Cosnard G,
    7. Lonneux M,
    8. Grégoire V
    : Adaptive biological image-guided IMRT with anatomic and functional imaging in pharyngo-laryngeal tumors: impact on target volume delineation and dose distribution using helical tomotherapy. Radiother Oncol 85: 105-115, 2007.
    OpenUrlCrossRefPubMed
  32. ↵
    1. Bentzen SM
    : Theragnostic imaging for radiation oncology: dose-painting by numbers. Lancet Oncol 6: 112-117, 2005.
    OpenUrlCrossRefPubMed
  33. ↵
    1. Ling CC,
    2. Humm J,
    3. Larson S,
    4. Amols H,
    5. Fuks Z,
    6. Leibel S,
    7. Koutcher JA
    : Towards multidimensional radiotherapy (MD-CRT): biological imaging and biological conformality. Int J Radiat Oncol Biol Phys 47: 551-560, 2000.
    OpenUrlCrossRefPubMed
  34. ↵
    1. Bentzen SM
    : Dose painting and theragnostic imaging: towards the prescription, planning and delivery of biologically targeted dose distributions in external beam radiation oncology. Cancer Treat Res 139: 41-62, 2008.
    OpenUrlPubMed
  35. ↵
    1. Differding S,
    2. Sterpin E,
    3. Janssens G,
    4. Hanin FX,
    5. Lee JA,
    6. Grégoire V
    : Methodology for adaptive and robust FDG-PET escalated dose painting by numbers in head and neck tumors. Acta Oncologica 16: 1-9, 2015.
    OpenUrl
  36. ↵
    1. Olteanu LA,
    2. Madani I,
    3. De Neve W,
    4. Vercauteren T,
    5. De Gersem W
    : Evaluation of deformable image coregistration in adaptive dose painting by numbers for head-and-neck cancer. Int J Radiat Oncol Biol Phys 83: 696-703, 2012.
    OpenUrlPubMed
  37. ↵
    1. Duprez F,
    2. De Neve W,
    3. De Gersem W,
    4. Coghe M,
    5. Madani I
    : Adaptive dose painting by numbers for head-and-neck cancer. Int J Radiat Oncol Biol Phys 80: 1045-1055, 2011.
    OpenUrlCrossRefPubMed
  38. ↵
    1. Berwouts D,
    2. Olteanu LA,
    3. Duprez F,
    4. Vercauteren T,
    5. De Gersem W,
    6. De Neve W,
    7. Van de Wiele C,
    8. Madani I
    : Three-phase adaptive dose-painting-by-numbers for head-and-neck cancer: initial results of the phase I clinical trial. Radiother Oncol 107: 310-316, 2013.
    OpenUrlCrossRefPubMed
  39. ↵
    1. Olteanu LA,
    2. Berwouts D,
    3. Madani I,
    4. De Gersem W,
    5. Vercauteren T,
    6. Duprez F,
    7. De Neve W
    : Comparative dosimetry of three-phase adaptive and non-adaptive dose-painting IMRT for head-and-neck cancer. Radiother Oncol 111: 348-353, 2014.
    OpenUrlCrossRefPubMed
  40. ↵
    1. Castadot P,
    2. Lee JA,
    3. Parraga A,
    4. Geets X,
    5. Macq B,
    6. Grégoire V
    : Comparison of 12 deformable registration strategies in adaptive radiation therapy for the treatment of head and neck tumors. Radiother Oncol 89: 1-12, 2008.
    OpenUrlCrossRefPubMed
  41. ↵
    1. Castadot P,
    2. Geets X,
    3. Lee JA,
    4. Christian N,
    5. Grégoire V
    : Assessment by a deformable registration method of the volumetric and positional changes of target volumes and organs at risk in pharyngo-laryngeal tumors treated with concomitant chemo-radiation. Radiother Oncol 95: 209-217, 2010.
    OpenUrlCrossRefPubMed
  42. ↵
    1. Madani I,
    2. Duprez F,
    3. Boterberg T,
    4. Van de Wiele C,
    5. Bonte K,
    6. Deron P,
    7. De Gersem W,
    8. Coghe M,
    9. De Neve W
    : Maximum tolerated dose in a phase I trial on adaptive dose painting by numbers for head and neck cancer. Radiother Oncol 101: 351-355, 2011.
    OpenUrlCrossRefPubMed
  43. ↵
    1. Barker JL Jr.,
    2. Garden AS,
    3. Ang KK,
    4. O' Daniel JC,
    5. Wang H,
    6. Court LE,
    7. Morrison WH,
    8. Rosenthal DI,
    9. Chao KS,
    10. Tucker SL,
    11. Mohan R,
    12. Dong L
    : Quantification of volumetric and geometric changes occurring during fractionated radiotherapy for head-and-neck cancer using an integrated CT/linear accelerator system. Int J Radiat Oncol Biol Phys 59: 960-970, 2004.
    OpenUrlCrossRefPubMed
  44. ↵
    1. Brouwer CL,
    2. Steenbakkers RJ,
    3. Langendijk JA,
    4. Sijtsema NM
    : Identifying patients who may benefit from adaptive radiotherapy: Does the literature on anatomic and dosimetric changes in head and neck organs at risk during radiotherapy provide information to help? Radiother Oncol 115: 285-294, 2015.
    OpenUrlCrossRefPubMed
PreviousNext
Back to top

In this issue

Anticancer Research: 37 (12)
Anticancer Research
Vol. 37, Issue 12
December 2017
  • Table of Contents
  • Table of Contents (PDF)
  • Index by author
  • Back Matter (PDF)
  • Ed Board (PDF)
  • Front Matter (PDF)
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on Anticancer Research.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
18F-Fdg-PET-guided Planning and Re-Planning (Adaptive) Radiotherapy in Head and Neck Cancer: Current State of Art
(Your Name) has sent you a message from Anticancer Research
(Your Name) thought you would like to see the Anticancer Research web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
2 + 3 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.
Citation Tools
18F-Fdg-PET-guided Planning and Re-Planning (Adaptive) Radiotherapy in Head and Neck Cancer: Current State of Art
ELEONORA FARINA, MARTINA FERIOLI, PAOLO CASTELLUCCI, ARIANNA FARINA, GIUSEPPE ZANIRATO RAMBALDI, SAVINO CILLA, SILVIA CAMMELLI, STEFANO FANTI, ALESSIO G. MORGANTI
Anticancer Research Dec 2017, 37 (12) 6523-6532;

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Reprints and Permissions
Share
18F-Fdg-PET-guided Planning and Re-Planning (Adaptive) Radiotherapy in Head and Neck Cancer: Current State of Art
ELEONORA FARINA, MARTINA FERIOLI, PAOLO CASTELLUCCI, ARIANNA FARINA, GIUSEPPE ZANIRATO RAMBALDI, SAVINO CILLA, SILVIA CAMMELLI, STEFANO FANTI, ALESSIO G. MORGANTI
Anticancer Research Dec 2017, 37 (12) 6523-6532;
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Materials and Methods
    • Results
    • Discussion
    • Conclusion
    • Acknowledgements
    • Footnotes
    • References
  • Figures & Data
  • Info & Metrics
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • Tumor Hypoxia Detected by 18F-fluoromisonidazole Positron Emission Tomography (FMISO PET) as a Prognostic Indicator of Radiotherapy (RT)
  • Google Scholar

More in this TOC Section

  • Cytokine-based Cancer Immunotherapy: Challenges and Opportunities for IL-10
  • Proteolytic Enzyme Therapy in Complementary Oncology: A Systematic Review
  • Multimodal Treatment of Primary Advanced Ovarian Cancer
Show more Reviews

Similar Articles

Keywords

  • Adaptive radiotherapy
  • 18F-FDG PET
  • target definition
  • head and neck cancer
  • review
Anticancer Research

© 2025 Anticancer Research

Powered by HighWire