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Rosen BS, Vaishampayan N, Cao Y, Mierzwa ML. The Utility of Interim Positron Emission Tomography Imaging to Inform Adaptive Radiotherapy for Head and Neck Squamous Cell Carcinoma. Cancer J 2023; 29:243-247. [PMID: 37471616 DOI: 10.1097/ppo.0000000000000669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/22/2023]
Abstract
ABSTRACT In this article, as part of this special issue on biomarkers of early response, we review the current evidence to support the use of positron emission tomography (PET) imaging during chemoradiation therapy to inform biologically adaptive radiotherapy for head and neck squamous cell carcinoma. We review literature covering this topic spanning nearly 3 decades, including the use of various radiotracers and discoveries of novel predictive PET biomarkers. Through understanding how observational trials have informed current interventional clinical trials, we hope that this review will encourage researchers and clinicians to incorporate PET response criteria in new trial designs to advance biologically optimized radiotherapy.
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Affiliation(s)
- Benjamin S Rosen
- From the Department of Radiation Oncology, University of Michigan, Ann Arbor, MI
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Morand GB. [Metabolic Tumor Imaging in Head and Neck Oncology]. PRAXIS 2022; 111:878-883. [PMID: 36415988 DOI: 10.1024/1661-8157/a003926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Metabolic Tumor Imaging in Head and Neck Oncology Abstract. Fluorodeoxyglucose with position emission tomography combined with CT or MRI (FDG-PET) has become an important diagnostic and staging method in head and neck squamous cell carcinoma. Some regard FDG-PET merely as a tool able of displaying cancer cells as bright spots on imaging. However, quantification of FDG uptake can be used as a surrogate marker for tumor aggressiveness and predict tumor response before (chemo)-radiation. The FDG uptake of the primary tumor can also predict surgical outcome measures such as depth of invasion, occult nodal metastasis, or bone invasion for oral cancer and/or organ preservation in hypopharyngeal cancer.
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Mitamura K, Norikane T, Yamamoto Y, Fujimoto K, Takami Y, Hoshikawa H, Toyohara J, Nishiyama Y. Interim 4'-[methyl- 11C]-thiothymidine PET for predicting the chemoradiotherapeutic response in head and neck squamous cell carcinoma: comparison with [ 18F]FDG PET. EJNMMI Res 2021; 11:13. [PMID: 33566186 PMCID: PMC7876213 DOI: 10.1186/s13550-021-00749-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Accepted: 01/05/2021] [Indexed: 11/28/2022] Open
Abstract
Purpose We investigated the potential of interim 4′-[methyl-11C]thiothymidine ([11C]4DST) PET for predicting the chemoradiotherapeutic response for head and neck squamous cell carcinoma (HNSCC), in comparison with 2-deoxy-2-[18F]fluoro-D-glucose ([18F]FDG) PET. Methods A total of 32 patients with HNSCC who underwent both [11C]4DST and [18F]FDG PET/CT before therapy (baseline) and at approximately 40 Gy point during chemoradiotherapy (interim) were available for a retrospective analysis of prospectively collected data. The baseline was treatment-naïve PET/CT scan as part of staging. The maximum standardized uptake value (SUVmax), metabolic tumor volume (MTV) from [18F]FDG PET or proliferative tumor volume (PTV) from [11C]4DST PET, and total lesion glycolysis (TLG) from [18F]FDG PET or total lesion proliferation (TLP) from [11C]4DST PET were measured. MTV or PTV was defined as the volume with an SUVmax greater than 2.5. The differences in SUVmax (ΔSUVmax), MTV (ΔMTV) or PTV (ΔPTV) and TLG (ΔTLG) or TLP (ΔTLP) from baseline to interim PET scans were calculated. Patients without or with evidence of residual or recurrent disease at 3 months after completion of chemoradiotherapy were classified as showing a complete response (CR) and non-CR, respectively. Results All patients showed increased uptake in primary tumor on baseline [11C]4DST and [18F]FDG PET studies. All patients showed increased uptake on interim [18F]FDG PET, whereas 18 patients showed no increased uptake on interim [11C]4DST PET. After chemoradiotherapy, 25 patients were found to be in CR group and 7 to be in non-CR group. [11C]4DST ΔSUVmax, ΔPTV, and ΔTLP for CR group showed significantly greater reductions than the corresponding values for non-CR group (P = 0.044, < 0.001, < 0.001, respectively). However, there were no significant differences in [18F]FDG ΔSUVmax, ΔMTV, or ΔTLG between CR group and non-CR group. [11C]4DST ΔMTV of -90 was the best cutoff value for the early identification of patients with non-CR. Conclusion These preliminary results suggest that interim [11C]4DST PET might be useful for predicting the chemoradiotherapeutic response in patients with HNSCC, in comparison with [18F]FDG PET.
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Affiliation(s)
- Katsuya Mitamura
- Department of Radiology, Faculty of Medicine, Kagawa University, 1750-1 Ikenobe, Miki-cho, Kita-gun, Kagawa, 761-0793, Japan
| | - Takashi Norikane
- Department of Radiology, Faculty of Medicine, Kagawa University, 1750-1 Ikenobe, Miki-cho, Kita-gun, Kagawa, 761-0793, Japan
| | - Yuka Yamamoto
- Department of Radiology, Faculty of Medicine, Kagawa University, 1750-1 Ikenobe, Miki-cho, Kita-gun, Kagawa, 761-0793, Japan.
| | - Kengo Fujimoto
- Department of Radiology, Faculty of Medicine, Kagawa University, 1750-1 Ikenobe, Miki-cho, Kita-gun, Kagawa, 761-0793, Japan
| | - Yasukage Takami
- Department of Radiology, Faculty of Medicine, Kagawa University, 1750-1 Ikenobe, Miki-cho, Kita-gun, Kagawa, 761-0793, Japan
| | - Hiroshi Hoshikawa
- Department of Otolaryngology, Faculty of Medicine, Kagawa University, Kagawa, Japan
| | - Jun Toyohara
- Research Team for Neuroimaging, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan
| | - Yoshihiro Nishiyama
- Department of Radiology, Faculty of Medicine, Kagawa University, 1750-1 Ikenobe, Miki-cho, Kita-gun, Kagawa, 761-0793, Japan
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Early 18F-FDG-PET Response During Radiation Therapy for HPV-Related Oropharyngeal Cancer May Predict Disease Recurrence. Int J Radiat Oncol Biol Phys 2020; 108:969-976. [PMID: 32800802 DOI: 10.1016/j.ijrobp.2020.08.029] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Revised: 07/31/2020] [Accepted: 08/06/2020] [Indexed: 01/01/2023]
Abstract
PURPOSE Early indication of treatment outcome may guide therapeutic de-escalation strategies in patients with human papillomavirus (HPV)-related oropharyngeal cancer (OPC). This study investigated the relationships between tumor volume and 18F-fluorodeoxyglucose positron emission tomography (PET) parameters before and during definitive radiation therapy with treatment outcomes. METHODS AND MATERIALS Patients undergoing definitive (chemo)radiation for HPV-related/p16-positive OPC were prospectively enrolled on an institutional review board-approved study. 18F-fluorodeoxyglucose PET/computed tomography scans were performed at simulation and after 2 weeks at a dose of ∼20 Gy. Tumor volume and standardized uptake value (SUV) characteristics were measured. SUV was normalized to blood pool uptake. Tumor volume and PET parameters associated with recurrence were identified through recursive partitioning (RPART). Recurrence-free survival (RFS) and overall survival (OS) curves between RPART-identified cohorts were estimated using the Kaplan-Meier method, and Cox models were used to estimate the hazard ratios (HRs). RESULTS From 2012 to 2016, 62 patients with HPV-related OPC were enrolled. Median follow-up was 4.4 years. RPART identified patients with intratreatment SUVmax (normalized to blood pool SUVmean) <6.7 or SUVmax (normalized to blood pool SUVmean) ≥6.7 with intratreatment SUV40% ≥2.75 as less likely to recur. For identified subgroups, results of Cox models showed unadjusted HRs for RFS and OS (more likely to recur vs less likely) of 7.33 (90% confidence interval [CI], 2.97-18.12) and 6.09 (90% CI, 2.22-16.71), respectively, and adjusted HRs of 6.57 (90% CI, 2.53-17.05) and 5.61 (90% CI, 1.90-16.54) for RFS and OS, respectively. CONCLUSIONS PET parameters after 2 weeks of definitive radiation therapy for HPV-related OPC are associated with RFS and OS, thus potentially informing an adaptive treatment approach.
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Decazes P, Thureau S, Modzelewski R, Damilleville-Martin M, Bohn P, Vera P. Benefits of positron emission tomography scans for the evaluation of radiotherapy. Cancer Radiother 2020; 24:388-397. [PMID: 32448741 DOI: 10.1016/j.canrad.2020.02.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Accepted: 02/03/2020] [Indexed: 12/23/2022]
Abstract
The assessment of tumour response during and after radiotherapy determines the subsequent management of patients (adaptation of treatment plan, monitoring, adjuvant treatment, rescue treatment or palliative care). In addition to its role in extension assessment and therapeutic planning, positron emission tomography combined with computed tomography provides useful functional information for the evaluation of tumour response. The objective of this article is to review published data on positron emission tomography combined with computed tomography as a tool for evaluating external radiotherapy for cancers. Data on positron emission tomography combined with computed tomography scans acquired at different times (during, after initial and after definitive [chemo-]radiotherapy, during post-treatment follow-up) in solid tumours (lung, head and neck, cervix, oesophagus, prostate and rectum) were collected and analysed. Recent recommendations of the National Comprehensive Cancer Network are also reported. Positron emission tomography combined with computed tomography with (18F)-labelled fluorodeoxyglucose has a well-established role in clinical routine after chemoradiotherapy for locally advanced head and neck cancers, particularly to limit the number of neck lymph node dissection. This imaging modality also has a place for the evaluation of initial chemoradiotherapy of oesophageal cancer, including the detection of distant metastases, and for the post-therapeutic evaluation of cervical cancer. Several radiotracers for positron emission tomography combined with computed tomography, such as choline, are also recommended for patients with prostate cancer with biochemical failure. (18F)-fluorodeoxyglucose positron emission tomography combined with computed tomography is optional in many other circumstances and its clinical benefits, possibly in combination with MRI, to assess response to radiotherapy remain a very active area of research.
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Affiliation(s)
- P Decazes
- Département de médecine nucléaire, centre Henri-Becquerel, 1, rue d'Amiens, 76038 Rouen, France; QuantIF-Litis, EA 4108, faculté de médecine, université de Rouen, 22, boulevard Gambetta, 76000 Rouen, France.
| | - S Thureau
- Département de médecine nucléaire, centre Henri-Becquerel, 1, rue d'Amiens, 76038 Rouen, France; QuantIF-Litis, EA 4108, faculté de médecine, université de Rouen, 22, boulevard Gambetta, 76000 Rouen, France; Département de radiothérapie et de physique médicale, centre Henri-Becquerel, 1, rue d'Amiens, 76038 Rouen, France
| | - R Modzelewski
- Département de médecine nucléaire, centre Henri-Becquerel, 1, rue d'Amiens, 76038 Rouen, France; QuantIF-Litis, EA 4108, faculté de médecine, université de Rouen, 22, boulevard Gambetta, 76000 Rouen, France
| | - M Damilleville-Martin
- Département de radiothérapie et de physique médicale, centre Henri-Becquerel, 1, rue d'Amiens, 76038 Rouen, France
| | - P Bohn
- Département de médecine nucléaire, centre Henri-Becquerel, 1, rue d'Amiens, 76038 Rouen, France; QuantIF-Litis, EA 4108, faculté de médecine, université de Rouen, 22, boulevard Gambetta, 76000 Rouen, France
| | - P Vera
- Département de médecine nucléaire, centre Henri-Becquerel, 1, rue d'Amiens, 76038 Rouen, France; QuantIF-Litis, EA 4108, faculté de médecine, université de Rouen, 22, boulevard Gambetta, 76000 Rouen, France
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Wang K, Yi J, Huang X, Qu Y, Luo J, Xiao J, Zhang S, Tang Y, Liu W, Xu G, Gao L, Xu Z, Liu S, Wang X. Prognostic impact of pathological complete remission after preoperative irradiation in patients with locally advanced head and neck squamous cell carcinoma: re-analysis of a phase 3 clinical study. Radiat Oncol 2019; 14:225. [PMID: 31831042 PMCID: PMC6909460 DOI: 10.1186/s13014-019-1428-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2019] [Accepted: 11/22/2019] [Indexed: 12/17/2022] Open
Abstract
PURPOSE The purpose of this study was to determine the associations between pathological complete remission (pCR) and clinical outcomes in patients with locally advanced head and neck squamous cell carcinoma (HNSCC) who received preoperative radiotherapy or chemoradiotherapy in a phase 3 clinical study. METHODS A total of 222 newly diagnostic stage III/IVM0 HNSCC patients were randomly assigned to a preoperative concurrent chemoradiotherapy group (n = 104) or preoperative radiotherapy alone group (n = 118). Over a mean follow-up of 59 months, 72 patients were defined as non-responders to preoperative therapy and subsequently underwent resection of the primary lesion with or without neck dissection. The relationship between the pathological tumor response of the primary lesion and treatment prognosis was analyzed. Kaplan-Meier and Cox regression multivariate analyses were performed to evaluate the impact of pCR on local control (LC), overall survival (OS), progression-free survival (PFS), and distant metastasis-free survival (DMFS). RESULTS Among the 72 non-responders, 25 patients, 10 in the chemotherapy group and 15 in the radiotherapy group, achieved pCR. The 5-year LC, OS, PFS, and DMFS of pCR patients and non-pCR patients were 93.2% vs. 67.7% (p = 0.007), 83.3% vs. 39.7% (p = 0.0006), 76.1% vs. 44.0% (p = 0.009), and 90.4% vs. 56.3% (p = 0.005), respectively. In multivariate analysis, pCR is also an independent prognostic factor in prognosis, with statistically significant differences. CONCLUSION pCR after preoperative radiotherapy or concurrent chemoradiotherapy is a good prognostic factor in locally advanced HNSCC. TRIAL REGISTRATION Number:ChiCTR-TRC-114004322 Date:05 Mar, 2014.
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Affiliation(s)
- Kai Wang
- Department of Radiation Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Junlin Yi
- Department of Radiation Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| | - Xiaodong Huang
- Department of Radiation Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yuan Qu
- Department of Radiation Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jingwei Luo
- Department of Radiation Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jianping Xiao
- Department of Radiation Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shiping Zhang
- Department of Radiation Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yuan Tang
- Department of Radiation Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Weixin Liu
- Department of Radiation Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Guozhen Xu
- Department of Radiation Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Li Gao
- Department of Radiation Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhengang Xu
- Department of Head and Neck Surgery, National Cancer Center/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shaoyan Liu
- Department of Head and Neck Surgery, National Cancer Center/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiaolei Wang
- Department of Head and Neck Surgery, National Cancer Center/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Martens RM, Noij DP, Ali M, Koopman T, Marcus JT, Vergeer MR, de Vet H, de Jong MC, Leemans CR, Hoekstra OS, de Bree R, de Graaf P, Boellaard R, Castelijns JA. Functional imaging early during (chemo)radiotherapy for response prediction in head and neck squamous cell carcinoma; a systematic review. Oral Oncol 2018; 88:75-83. [PMID: 30616800 DOI: 10.1016/j.oraloncology.2018.11.005] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2018] [Revised: 11/02/2018] [Accepted: 11/05/2018] [Indexed: 10/27/2022]
Abstract
This systematic review gives an extensive overview of the current state of functional imaging during (chemo)radiotherapy to predict locoregional control (LRC) and overall survival (OS) for head and neck squamous cell carcinoma. MEDLINE and EMBASE were searched for literature until April 2018 assessing the predictive performance of functional imaging (computed tomography perfusion (CTp), MRI and positron-emission tomography (PET)) within 4 weeks after (chemo)radiotherapy initiation. Fifty-two studies (CTp: n = 4, MRI: n = 19, PET: n = 26, MRI/PET: n = 3) were included involving 1623 patients. Prognostic information was extracted according the PRISMA protocol. Pooled estimation and subgroup analyses were performed for comparable parameters and outcome. However, the heterogeneity of included studies limited the possibility for comparison. Early tumoral changes from (chemo)radiotherapy can be captured by functional MRI and 18F-FDG-PET and could allow for personalized treatment adaptation. Lesions showed potentially prognostic intratreatment changes in perfusion, diffusion and metabolic activity. Intratreatment ADCmean increase (decrease of diffusion restriction) and low SUVmax (persistent low or decrease of 18F-FDG uptake) were most predictive of LRC. Intratreatment persistent high or increase of perfusion on CT/MRI (i.e. blood flow, volume, permeability) also predicted LRC. Low SUVmax and total lesion glycolysis (TLG) predicted favorable OS. The optimal timing to perform functional imaging to predict LRC or OS was 2-3 weeks after treatment initiation.
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Affiliation(s)
- Roland M Martens
- Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, the Netherlands.
| | - Daniel P Noij
- Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, the Netherlands
| | - Meedie Ali
- Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, the Netherlands
| | - Thomas Koopman
- Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, the Netherlands
| | - J Tim Marcus
- Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, the Netherlands
| | - Marije R Vergeer
- Department of Radiation Oncology, VU University Medical Center, Amsterdam, the Netherlands
| | - Henrica de Vet
- Department of Epidemiology and Biostatistics and the EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, the Netherlands
| | - Marcus C de Jong
- Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, the Netherlands
| | - C René Leemans
- Department of Otolaryngology - Head and Neck Surgery, VU University Medical Center, Amsterdam, the Netherlands
| | - Otto S Hoekstra
- Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, the Netherlands
| | - Remco de Bree
- Department of Head and Neck Surgical Oncology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Pim de Graaf
- Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, the Netherlands
| | - Ronald Boellaard
- Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, the Netherlands
| | - Jonas A Castelijns
- Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, the Netherlands
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Kabarriti R, Brodin NP, Lundgren G, Ohri N, Tomé WA, Kalnicki S, Garg MK. Early Response Assessment on Mid-treatment Computed Tomography Predicts for Locoregional Recurrence in Oropharyngeal Cancer Patients Treated With Definitive Radiation Therapy. Int J Radiat Oncol Biol Phys 2018; 102:1036-1045. [PMID: 29779936 DOI: 10.1016/j.ijrobp.2018.03.059] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2017] [Revised: 03/19/2018] [Accepted: 03/29/2018] [Indexed: 10/17/2022]
Abstract
PURPOSE To evaluate whether a response assessment using mid-treatment computed tomography (CT) scans during definitive radiation therapy (RT) for oropharyngeal head and neck cancer can predict for locoregional recurrence (LRR). METHODS AND MATERIALS Head and neck cancer patients who receive RT at our institution undergo CT repeat scans at the 15th fraction, with treatment replanning in the case of an inadequate dose to gross disease or an increased dose to organs at risk. A retrospective cohort analysis was performed of 96 consecutive patients with oropharyngeal cancer treated from 2007 to 2015 with mid-treatment repeat CT scans available. The primary disease volume and involved lymph node volume were delineated on the pre- and mid-treatment CT scans. Univariable and multivariable Cox proportional hazards regression analyses were used to evaluate the efficacy of the mid-treatment reduction in tumor volume as a predictor of LRR. Risk stratification was performed by dichotomizing the patients into high- and low-risk groups according to the mid-treatment response and p16 status and smoking history. RESULTS With a median follow-up of 34 months, 14 patients experienced LRR. The median reduction in the total tumor volume was 18.7% (interquartile range 8.4%-30.9%). A reduction in total tumor volume greater than the median was an independent predictor of LRR (hazard ratio 0.22, 95% confidence interval 0.05-0.89; P = .020). The reduction in primary tumor volume was an even stronger predictor of LRR (hazard ratio 0.11, 95% confidence interval 0.02-0.57; P = .002). Stratifying patients into a high-risk group for those with a reduction in the total tumor volume at mid-treatment at or less than the median, p16 negative status, and smoking status of >10 pack-years and a low-risk group for those without these factors, we found a clear separation in Kaplan-Meier curves, with actuarial 3-year locoregional control, progression-free survival, and overall survival rates for the high-risk patients of 45.7%, 38.2%, and 71.8% compared with 90.7%, 70.6%, and 89.8% for low-risk patients, respectively (P ≤ .021 for all). CONCLUSIONS Our results have shown that the treatment response from an early assessment using mid-treatment CT scans is an independent predictor of LRR and can be used to effectively distinguish high- and low-risk patients, allowing for risk-adaptive treatment stratification at the midway point.
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Affiliation(s)
- Rafi Kabarriti
- Department of Radiation Oncology, Albert Einstein College of Medicine-Montefiore Medical Center, Bronx, New York
| | - N Patrik Brodin
- Department of Radiation Oncology, Albert Einstein College of Medicine-Montefiore Medical Center, Bronx, New York; Institute for Onco-Physics, Albert Einstein College of Medicine-Montefiore Medical Center, Bronx, New York
| | - George Lundgren
- Department of Radiation Oncology, Albert Einstein College of Medicine-Montefiore Medical Center, Bronx, New York
| | - Nitin Ohri
- Department of Radiation Oncology, Albert Einstein College of Medicine-Montefiore Medical Center, Bronx, New York
| | - Wolfgang A Tomé
- Department of Radiation Oncology, Albert Einstein College of Medicine-Montefiore Medical Center, Bronx, New York; Institute for Onco-Physics, Albert Einstein College of Medicine-Montefiore Medical Center, Bronx, New York
| | - Shalom Kalnicki
- Department of Radiation Oncology, Albert Einstein College of Medicine-Montefiore Medical Center, Bronx, New York
| | - Madhur K Garg
- Department of Radiation Oncology, Albert Einstein College of Medicine-Montefiore Medical Center, Bronx, New York.
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Zhu T, Das S, Wong TZ. Integration of PET/MR Hybrid Imaging into Radiation Therapy Treatment. Magn Reson Imaging Clin N Am 2017; 25:377-430. [PMID: 28390536 DOI: 10.1016/j.mric.2017.01.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Hybrid PET/MR imaging is in early development for treatment planning. This article briefly reviews research and clinical applications of PET/MR imaging in radiation oncology. With improvements in workflow, more specific tracers, and fast and robust acquisition protocols, PET/MR imaging will play an increasingly important role in better target delineation for treatment planning and have clear advantages in the evaluation of tumor response and in a better understanding of tumor heterogeneity. With advances in treatment delivery and the potential of integrating PET/MR imaging with research on radiomics for radiation oncology, quantitative and physiologic information could lead to more precise and personalized RT.
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Affiliation(s)
- Tong Zhu
- Department of Radiation Oncology, University of North Carolina at Chapel Hill, 101 Manning Drive, Chapel Hill, NC 27599, USA
| | - Shiva Das
- Department of Radiation Oncology, University of North Carolina at Chapel Hill, 101 Manning Drive, Chapel Hill, NC 27599, USA
| | - Terence Z Wong
- Department of Radiology, University of North Carolina at Chapel Hill, 101 Manning Drive, Chapel Hill, NC 27599, USA.
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Clinical Practice in PET/CT for the Management of Head and Neck Squamous Cell Cancer. AJR Am J Roentgenol 2017; 209:289-303. [PMID: 28731808 DOI: 10.2214/ajr.17.18301] [Citation(s) in RCA: 80] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
OBJECTIVE The purpose of this article is to summarize the evidence for the value of PET/CT for the management of patients with head and neck squamous cell cancer and suggest best clinical practices. CONCLUSION FDG PET/CT is a valuable imaging tool for identifying unknown primary tumors in patients with known cervical node metastases leading to management change and is the standard of care for the initial staging of stage III and IV head and neck squamous cell carcinomas (HNSCCs), for assessing therapy response when performed at least 12 weeks after chemoradiation therapy, and for avoiding unnecessary planned neck dissection. Neck dissection is avoided if PET/CT findings are negative-regardless of the size of the residual neck nodes-because survival outcomes are not compromised. FDG PET/CT is valuable in detecting recurrences and metastases during follow-up when suspected because of clinical symptoms and serves as a prognostic marker for patient survival outcomes, for 5 years. Using FDG PET/CT for routine surveillance of HNSCC after 6 months of treatment without any clinical suspicion should be discouraged.
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Cremonesi M, Gilardi L, Ferrari ME, Piperno G, Travaini LL, Timmerman R, Botta F, Baroni G, Grana CM, Ronchi S, Ciardo D, Jereczek-Fossa BA, Garibaldi C, Orecchia R. Role of interim 18F-FDG-PET/CT for the early prediction of clinical outcomes of Non-Small Cell Lung Cancer (NSCLC) during radiotherapy or chemo-radiotherapy. A systematic review. Eur J Nucl Med Mol Imaging 2017; 44:1915-1927. [PMID: 28681192 DOI: 10.1007/s00259-017-3762-9] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2017] [Accepted: 06/14/2017] [Indexed: 12/25/2022]
Abstract
BACKGROUND Non-Small Cell Lung Cancer (NSCLC) is characterized by aggressiveness and includes the majority of thorax malignancies. The possibility of early stratification of patients as responsive and non-responsive to radiotherapy with a non-invasive method is extremely appealing. The distribution of the Fluorodeoxyglucose (18F-FDG) in tumours, provided by Positron-Emission-Tomography (PET) images, has been proved to be useful to assess the initial staging of the disease, recurrence, and response to chemotherapy and chemo-radiotherapy (CRT). OBJECTIVES In the last years, particular efforts have been focused on the possibility of using ad interim 18F-FDG PET (FDGint) to evaluate response already in the course of radiotherapy. However, controversial findings have been reported for various malignancies, although several results would support the use of FDGint for individual therapeutic decisions, at least in some pathologies. The objective of the present review is to assemble comprehensively the literature concerning NSCLC, to evaluate where and whether FDGint may offer predictive potential. METHODS Several searches were completed on Medline and the Embase database, combining different keywords. Original papers published in the English language from 2005 to 2016 with studies involving FDGint in patients affected by NSCLC and treated with radiation therapy or chemo-radiotherapy only were chosen. RESULTS Twenty-one studies out of 970 in Pubmed and 1256 in Embase were selected, reporting on 627 patients. CONCLUSION Certainly, the lack of univocal PET parameters was identified as a major drawback, while standardization would be required for best practice. In any case, all these papers denoted FDGint as promising and a challenging examination for early assessment of outcomes during CRT, sustaining its predictivity in lung cancer.
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Affiliation(s)
- Marta Cremonesi
- Radiation Research Unit, European Institute of Oncology, Milano, Italy.
| | - Laura Gilardi
- Division of Nuclear Medicine, European Institute of Oncology, Milano, Italy
| | | | - Gaia Piperno
- Division of Radiation Oncology, European Institute of Oncology, Milano, Italy
| | | | - Robert Timmerman
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Francesca Botta
- Medical Physics Unit, European Institute of Oncology, Milano, Italy
| | - Guido Baroni
- Department of Electronics, Information and Bioengineering, Politecnico di Milano University, Milano, Italy
| | - Chiara Maria Grana
- Division of Nuclear Medicine, European Institute of Oncology, Milano, Italy
| | - Sara Ronchi
- Division of Radiation Oncology, European Institute of Oncology, Milano, Italy
| | - Delia Ciardo
- Division of Radiation Oncology, European Institute of Oncology, Milano, Italy
| | - Barbara Alicja Jereczek-Fossa
- Division of Radiation Oncology, European Institute of Oncology, Milano, Italy.,Department of Oncology and Hemato-Oncology, University of Milan, Milano, Italy
| | | | - Roberto Orecchia
- Department of Oncology and Hemato-Oncology, University of Milan, Milano, Italy.,Department of Medical Imaging and Radiation Sciences, European Institute of Oncology, Milano, Italy
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12
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Garibaldi C, Ronchi S, Cremonesi M, Gilardi L, Travaini L, Ferrari M, Alterio D, Kaanders JH, Ciardo D, Orecchia R, Jereczek-Fossa BA, Grana CM. Interim 18 F-FDG PET/CT During Chemoradiation Therapy in the Management of Head and Neck Cancer Patients: A Systematic Review. Int J Radiat Oncol Biol Phys 2017; 98:555-573. [DOI: 10.1016/j.ijrobp.2017.02.217] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2016] [Revised: 02/20/2017] [Accepted: 02/23/2017] [Indexed: 01/27/2023]
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13
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Lambin P, Zindler J, Vanneste BGL, De Voorde LV, Eekers D, Compter I, Panth KM, Peerlings J, Larue RTHM, Deist TM, Jochems A, Lustberg T, van Soest J, de Jong EEC, Even AJG, Reymen B, Rekers N, van Gisbergen M, Roelofs E, Carvalho S, Leijenaar RTH, Zegers CML, Jacobs M, van Timmeren J, Brouwers P, Lal JA, Dubois L, Yaromina A, Van Limbergen EJ, Berbee M, van Elmpt W, Oberije C, Ramaekers B, Dekker A, Boersma LJ, Hoebers F, Smits KM, Berlanga AJ, Walsh S. Decision support systems for personalized and participative radiation oncology. Adv Drug Deliv Rev 2017; 109:131-153. [PMID: 26774327 DOI: 10.1016/j.addr.2016.01.006] [Citation(s) in RCA: 81] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2015] [Revised: 12/08/2015] [Accepted: 01/06/2016] [Indexed: 12/12/2022]
Abstract
A paradigm shift from current population based medicine to personalized and participative medicine is underway. This transition is being supported by the development of clinical decision support systems based on prediction models of treatment outcome. In radiation oncology, these models 'learn' using advanced and innovative information technologies (ideally in a distributed fashion - please watch the animation: http://youtu.be/ZDJFOxpwqEA) from all available/appropriate medical data (clinical, treatment, imaging, biological/genetic, etc.) to achieve the highest possible accuracy with respect to prediction of tumor response and normal tissue toxicity. In this position paper, we deliver an overview of the factors that are associated with outcome in radiation oncology and discuss the methodology behind the development of accurate prediction models, which is a multi-faceted process. Subsequent to initial development/validation and clinical introduction, decision support systems should be constantly re-evaluated (through quality assurance procedures) in different patient datasets in order to refine and re-optimize the models, ensuring the continuous utility of the models. In the reasonably near future, decision support systems will be fully integrated within the clinic, with data and knowledge being shared in a standardized, dynamic, and potentially global manner enabling truly personalized and participative medicine.
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Affiliation(s)
- Philippe Lambin
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands.
| | - Jaap Zindler
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Ben G L Vanneste
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Lien Van De Voorde
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Daniëlle Eekers
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Inge Compter
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Kranthi Marella Panth
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Jurgen Peerlings
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Ruben T H M Larue
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Timo M Deist
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Arthur Jochems
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Tim Lustberg
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Johan van Soest
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Evelyn E C de Jong
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Aniek J G Even
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Bart Reymen
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Nicolle Rekers
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Marike van Gisbergen
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Erik Roelofs
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Sara Carvalho
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Ralph T H Leijenaar
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Catharina M L Zegers
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Maria Jacobs
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Janita van Timmeren
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Patricia Brouwers
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Jonathan A Lal
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Ludwig Dubois
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Ala Yaromina
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Evert Jan Van Limbergen
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Maaike Berbee
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Wouter van Elmpt
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Cary Oberije
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Bram Ramaekers
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Andre Dekker
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Liesbeth J Boersma
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Frank Hoebers
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Kim M Smits
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Adriana J Berlanga
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Sean Walsh
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
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14
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Nodal parameters of FDG PET/CT performed during radiotherapy for locally advanced mucosal primary head and neck squamous cell carcinoma can predict treatment outcomes: SUVmean and response rate are useful imaging biomarkers. Eur J Nucl Med Mol Imaging 2016; 44:801-811. [DOI: 10.1007/s00259-016-3584-1] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2016] [Accepted: 11/22/2016] [Indexed: 11/25/2022]
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15
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Cammaroto G, Quartuccio N, Sindoni A, Di Mauro F, Caobelli F. The role of PET/CT in the management of patients affected by head and neck tumors: a review of the literature. Eur Arch Otorhinolaryngol 2016; 273:1961-73. [PMID: 25971995 DOI: 10.1007/s00405-015-3651-4] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2015] [Accepted: 05/06/2015] [Indexed: 02/07/2023]
Abstract
The management of head and neck tumor (HNSCC) has been changing over the years, especially due to the aid of imaging techniques that help physicians to attain a correct diagnosis. These techniques represent a valuable tool to help tailor treatment and during follow-up of patients affected by malignancies. The aim of this review is to summarize the results of the most recent and relevant studies about the use of PET imaging in HNSCCs. This review is divided into six chapters: (1) The role of PET/CT in the pre-treatment phase; (2) PET/CT and radiotherapy planning; (3) PET/CT in the post-treatment setting; (4) PET/CT and SUVmax for prediction of prognosis; (5) miscellanea on the utility of PET in specific HNSCCs; (6) non-FDG PET tracers used in HNSCC. Promising results have been obtained so far. Despite the encouraging outcomes, more investigations are needed to warrant the value of this technique, especially in the pre-treatment setting.
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Affiliation(s)
- Giovanni Cammaroto
- Department of Otorhinolaryngology, University of Messina, Via Consolare Valeria 1, 98100, Messina, Italy.
| | - Natale Quartuccio
- Nuclear Medicine Unit, Department of Biomedical Sciences and Morphologic and Functional Images, University of Messina, Messina, Italy
| | - Alessandro Sindoni
- Nuclear Medicine Unit, Department of Biomedical Sciences and Morphologic and Functional Images, University of Messina, Messina, Italy
| | - Francesca Di Mauro
- Nuclear Medicine Unit, Department of Biomedical Sciences and Morphologic and Functional Images, University of Messina, Messina, Italy
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16
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Min M, Lin P, Liney G, Lee M, Forstner D, Fowler A, Holloway L. A review of the predictive role of functional imaging in patients with mucosal primary head and neck cancer treated with radiation therapy. J Med Imaging Radiat Oncol 2016; 61:99-123. [DOI: 10.1111/1754-9485.12496] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2015] [Accepted: 06/11/2016] [Indexed: 12/14/2022]
Affiliation(s)
- Myo Min
- Cancer Therapy Centre; Liverpool Hospital; Liverpool New South Wales Australia
- South Western Clinical School; University of New South Wales; Sydney New South Wales Australia
- Ingham Institute of Applied Medical Research; Liverpool New South Wales Australia
| | - Peter Lin
- South Western Clinical School; University of New South Wales; Sydney New South Wales Australia
- Department of Nuclear Medicine and Positron Emission Tomography; Liverpool Hospital; Liverpool New South Wales Australia
- University of Western Sydney; Sydney New South Wales Australia
| | - Gary Liney
- Cancer Therapy Centre; Liverpool Hospital; Liverpool New South Wales Australia
- South Western Clinical School; University of New South Wales; Sydney New South Wales Australia
- Ingham Institute of Applied Medical Research; Liverpool New South Wales Australia
- Centre for Medical Radiation Physics; University of Wollongong; Wollongong New South Wales Australia
| | - Mark Lee
- Cancer Therapy Centre; Liverpool Hospital; Liverpool New South Wales Australia
- South Western Clinical School; University of New South Wales; Sydney New South Wales Australia
| | - Dion Forstner
- Cancer Therapy Centre; Liverpool Hospital; Liverpool New South Wales Australia
- South Western Clinical School; University of New South Wales; Sydney New South Wales Australia
- Ingham Institute of Applied Medical Research; Liverpool New South Wales Australia
| | - Allan Fowler
- Cancer Therapy Centre; Liverpool Hospital; Liverpool New South Wales Australia
| | - Lois Holloway
- Cancer Therapy Centre; Liverpool Hospital; Liverpool New South Wales Australia
- South Western Clinical School; University of New South Wales; Sydney New South Wales Australia
- Ingham Institute of Applied Medical Research; Liverpool New South Wales Australia
- Centre for Medical Radiation Physics; University of Wollongong; Wollongong New South Wales Australia
- Institute of Medical Physics; School of Physics; University of Sydney; Sydney New South Wales Australia
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17
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Kim R, Ock CY, Keam B, Kim TM, Kim JH, Paeng JC, Kwon SK, Hah JH, Kwon TK, Kim DW, Wu HG, Sung MW, Heo DS. Predictive and prognostic value of PET/CT imaging post-chemoradiotherapy and clinical decision-making consequences in locally advanced head & neck squamous cell carcinoma: a retrospective study. BMC Cancer 2016; 16:116. [PMID: 26884055 PMCID: PMC4756525 DOI: 10.1186/s12885-016-2147-y] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2015] [Accepted: 02/08/2016] [Indexed: 12/02/2022] Open
Abstract
Background The accuracy of 18F-fluorodeoxygluocose positron emission tomography/computed tomography (PET/CT) in predicting immediate failure after radical chemoradiotherapy (CRT) for HNSCC is poorly characterized at present. The purpose of this study was to examine PET/CT as a predictive and prognostic gauge of immediate failure after CRT and determine the impact of these studies on clinical decision making in terms of salvage surgery. Methods Medical records of 78 consecutive patients receiving radical CRT for locally advanced HNSCC were reviewed, analyzing PET/CTs done before and 3 months after CRT. Immediate failure was defined as residual disease or locoregional and/or systemic relapse within 6 months after CRT. Results Maximum standard uptake value (SUV) of post CRT PET/CT (postSUVmax) was found optimal for predicting immediate failure at a cutpoint of 4.4. Sensitivity, specificity, negative predictive value (NPV), and positive predictive value (PPV) were 90.0 %, 83.8 %, 98.3 %, and 45.0 %, respectively. Of 78 patients studied, postSUVmax ≥4.4 prevailed in 20 (25.6 %), with postSUVmax <4.4 in 58 (74.4 %). At postSUVmax ≥4.4 (vs. postSUVmax <4.4) OS was poorer by comparison (3-year OS: 56.9 vs. 87.7 %; P = 0.005), as was progression-free survival (3-year PFS: 42.9 vs. 81.1 %; P < 0.001). At postSUVmax ≥4.4, OS with and without immediate salvage surgery did not differ significantly (3-year OS: 60.0 vs. 55.6 %; Log-rank P = 0.913). Conclusion Post CRT PET/CT imaging has prognostic value in terms of OS and PFS and is useful in predicting immediate therapeutic failure, given its high NPV. However, OS was not significantly altered by early salvage surgery done on the basis of post CRT PET/CT findings. Electronic supplementary material The online version of this article (doi:10.1186/s12885-016-2147-y) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Ryul Kim
- Department of Internal Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 110-744, Seoul, Korea.
| | - Chan-Young Ock
- Department of Internal Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 110-744, Seoul, Korea.
| | - Bhumsuk Keam
- Department of Internal Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 110-744, Seoul, Korea. .,Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea.
| | - Tae Min Kim
- Department of Internal Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 110-744, Seoul, Korea. .,Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea.
| | - Jin Ho Kim
- Department of Radiation Oncology, Seoul National University Hospital, Seoul, Korea.
| | - Jin Chul Paeng
- Department of Nuclear Medicine, Seoul National University Hospital, Seoul, Korea.
| | - Seong Keun Kwon
- Department of Otorhinolaryngology, Seoul National University Hospital, Seoul, Korea.
| | - J Hun Hah
- Department of Otorhinolaryngology, Seoul National University Hospital, Seoul, Korea.
| | - Tack-Kyun Kwon
- Department of Otorhinolaryngology, Seoul National University Hospital, Seoul, Korea.
| | - Dong-Wan Kim
- Department of Internal Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 110-744, Seoul, Korea. .,Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea.
| | - Hong-Gyun Wu
- Department of Radiation Oncology, Seoul National University Hospital, Seoul, Korea.
| | - Myung-Whun Sung
- Department of Otorhinolaryngology, Seoul National University Hospital, Seoul, Korea.
| | - Dae Seog Heo
- Department of Internal Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 110-744, Seoul, Korea. .,Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea.
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18
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Min M, Lin P, Lee M, Ho Shon I, Lin M, Forstner D, Tieu MT, Chicco A, Bray V, Fowler A. Prognostic Value of 2-[(18)F] Fluoro-2-deoxy-D-glucose Positron Emission Tomography-Computed Tomography Scan Carried out During and After Radiation Therapy for Head and Neck Cancer Using Visual Therapy Response Interpretation Criteria. Clin Oncol (R Coll Radiol) 2016; 28:393-401. [PMID: 26782837 DOI: 10.1016/j.clon.2015.12.026] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2015] [Revised: 12/02/2015] [Accepted: 12/08/2015] [Indexed: 10/25/2022]
Abstract
AIMS To evaluate the prognostic utility of 2-[(18)F] fluoro-2-deoxy-d-glucose positron emission tomography-computed tomography (FDG PET-CT) carried out in the third week (iPET) and after completion (pPET) of definitive radiation therapy in patients with mucosal primary head and neck squamous cell carcinoma (MPHNSCC) and to investigate the optimal visual grading criteria for therapy response assessment. MATERIALS AND METHODS Sixty-nine consecutive patients with newly diagnosed MPHNSCC treated with radical radiation therapy with or without systemic therapy underwent staging. PET-CT, iPET and pPET were included. All PET-CT images were reviewed by using a visual grading system to assess metabolic response for primary tumour: 0 = similar to adjacent background blood pool activity; 1 = more than background but < mediastinal blood pool; 2 ≥ mediastinal blood pool and < liver; 3 ≥ liver; and 4 ≥ brain. The results were correlated with locoregional recurrence-free survival (LRFS), disease-free survival (DFS) and overall survival, using Kaplan-Meier analysis. RESULTS The median follow-up was 28 months (range 6-62), the median age was 61 years (range 39-81) and AJCC 7th edition clinical stage II, III and IV were six, 18 and 45 patients, respectively. The optimal threshold for non-complete metabolic response (non-CMR) was defined as focal uptake ≥ liver (grade 3) for iPET and focal uptake ≥ mediastinum (grade 2) for pPET. The 2 year Kaplan-Meier LRFS, DFS and overall survival estimates for primary CMR and non-CMR in iPET were 89.8% versus 71.5% (P = 0.062), 80.1% versus 65.3% (P = 0.132), 79.1% versus 72.1% (P = 0.328) and in pPET 86.2% versus 44.6% (P = 0.0005), 77.6% versus 41.2% (P = 0.006), 81.2% versus 40.6% (P = 0.01), respectively. The negative predictive value (NPV) for LRFS for patients achieving both primary and nodal CMR in iPET was 100%. No locoregional failure was observed in patients with both primary and nodal iPET CMR (P = 0.038), whereas those with nodal iPET CMR had no regional failure (P = 0.033). However, the positive predictive values (PPV) for LRFS and DFS for iPET and pPET were found to be poor: 30% and 36% for iPET and 35% and 39% for pPET, respectively. CONCLUSION Standardised criteria using visual assessment are feasible. The metabolic response using visual assessment with standardised interpretation criteria of iPET and pPET can be useful predictors of tumour control. Dose de-escalation can be considered on the basis of a high NPV for iPET. However, the PPV of iPET is poor, indicating that additional discriminative tools are needed.
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Affiliation(s)
- M Min
- Cancer Therapy Centre, Liverpool Hospital, Liverpool, Australia; University of New South Wales, Sydney, Australia; Ingham Institute of Applied Medical Research, Liverpool, Australia
| | - P Lin
- University of New South Wales, Sydney, Australia; Department of Nuclear Medicine and PET, Liverpool Hospital, Liverpool, Australia; University of Western Sydney, Sydney, Australia
| | - M Lee
- Cancer Therapy Centre, Liverpool Hospital, Liverpool, Australia; University of New South Wales, Sydney, Australia
| | - I Ho Shon
- University of New South Wales, Sydney, Australia; Department of Nuclear Medicine and PET, Liverpool Hospital, Liverpool, Australia; University of Western Sydney, Sydney, Australia
| | - M Lin
- University of New South Wales, Sydney, Australia; Department of Nuclear Medicine and PET, Liverpool Hospital, Liverpool, Australia; University of Western Sydney, Sydney, Australia
| | - D Forstner
- Cancer Therapy Centre, Liverpool Hospital, Liverpool, Australia; University of New South Wales, Sydney, Australia; Ingham Institute of Applied Medical Research, Liverpool, Australia
| | - M T Tieu
- Department of Radiation Oncology, Calvary Mater Newcastle, Waratah, Australia; University of Newcastle, Callaghan, Australia
| | - A Chicco
- Department of Nuclear Medicine and PET, Liverpool Hospital, Liverpool, Australia
| | - V Bray
- Cancer Therapy Centre, Liverpool Hospital, Liverpool, Australia
| | - A Fowler
- Cancer Therapy Centre, Liverpool Hospital, Liverpool, Australia.
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19
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Cheung PKF, Chin RY, Eslick GD. Detecting Residual/Recurrent Head Neck Squamous Cell Carcinomas Using PET or PET/CT: Systematic Review and Meta-analysis. Otolaryngol Head Neck Surg 2015; 154:421-32. [PMID: 26715675 DOI: 10.1177/0194599815621742] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2015] [Accepted: 11/19/2015] [Indexed: 01/22/2023]
Abstract
OBJECTIVE To evaluate the diagnostic accuracy of positron emission tomography (PET) and PET/computed tomography (CT) for detecting residual and/or recurrent local and regional disease and distant metastases in patients with head and neck squamous cell carcinomas (HNSCCs) following radiotherapy with or without chemotherapy. DATA SOURCES A systematic review with no language restrictions was conducted using PREMEDLINE, MEDLINE, EMBASE, and Google Scholar. REVIEW METHODS Only prospective studies with histopathological and/or clinical follow-up that assessed the diagnostic accuracy of PET and PET/CT in detecting residual and/or recurrent disease following radiotherapy with or without chemotherapy in patients with HNSCCs were included. RESULTS Twenty-seven studies were identified. The pooled sensitivity and specificity of PET and PET/CT for detecting residual or recurrent disease at the primary site was 86.2% and 82.3%, respectively. For residual and recurrent neck disease, the sensitivity and specificity were 72.3% and 88.3%, while for distant metastases, the values were 84.6% and 94.9%. CONCLUSIONS PET and PET/CT are highly accurate in detecting residual and/or recurrent HNSCC. PET/CT is more specific than PET alone. Specificity is also greater for scans performed more than 12 weeks after radiotherapy with or without chemotherapy. The authors support the use of PET/CT after 12 weeks posttreatment for the assessment of residual or recurrent disease.
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Affiliation(s)
| | - Ronald Y Chin
- Department of Otolaryngology Head and Neck Surgery, The University of Sydney, Nepean Hospital, Penrith, New South Wales, Australia
| | - Guy D Eslick
- The Whiteley-Martin Research Centre, Discipline of Surgery, The University of Sydney, Nepean Hospital, Penrith, New South Wales, Australia
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Intratherapy or Posttherapy FDG PET or FDG PET/CT for Patients With Head and Neck Cancer: A Systematic Review and Meta-analysis of Prognostic Studies. AJR Am J Roentgenol 2015; 205:1102-13. [DOI: 10.2214/ajr.15.14647] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
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Jeraj R, Bradshaw T, Simončič U. Molecular Imaging to Plan Radiotherapy and Evaluate Its Efficacy. J Nucl Med 2015; 56:1752-65. [PMID: 26383148 DOI: 10.2967/jnumed.114.141424] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2015] [Accepted: 09/08/2015] [Indexed: 12/25/2022] Open
Abstract
Molecular imaging plays a central role in the management of radiation oncology patients. Specific uses of imaging, particularly to plan radiotherapy and assess its efficacy, require an additional level of reproducibility and image quality beyond what is required for diagnostic imaging. Specific requirements include proper patient preparation, adequate technologist training, careful imaging protocol design, reliable scanner technology, reproducible software algorithms, and reliable data analysis methods. As uncertainty in target definition is arguably the greatest challenge facing radiation oncology, the greatest impact that molecular imaging can have may be in the reduction of interobserver variability in target volume delineation and in providing greater conformity between target volume boundaries and true tumor boundaries. Several automatic and semiautomatic contouring methods based on molecular imaging are available but still need sufficient validation to be widely adopted. Biologically conformal radiotherapy (dose painting) based on molecular imaging-assessed tumor heterogeneity is being investigated, but many challenges remain to fully exploring its potential. Molecular imaging also plays increasingly important roles in both early (during treatment) and late (after treatment) response assessment as both a predictive and a prognostic tool. Because of potentially confounding effects of radiation-induced inflammation, treatment response assessment requires careful interpretation. Although molecular imaging is already strongly embedded in radiotherapy, the path to widespread and all-inclusive use is still long. The lack of solid clinical evidence is the main impediment to broader use. Recommendations for practicing physicians are still rather scarce. (18)F-FDG PET/CT remains the main molecular imaging modality in radiation oncology applications. Although other molecular imaging options (e.g., proliferation imaging) are becoming more common, their widespread use is limited by lack of tracer availability and inadequate reimbursement models. With the increasing presence of molecular imaging in radiation oncology, special emphasis should be placed on adequate training of radiation oncology personnel to understand the potential, and particularly the limitations, of quantitative molecular imaging applications. Similarly, radiologists and nuclear medicine specialists should be sensitized to the special need of the radiation oncologist in terms of quantification and reproducibility. Furthermore, strong collaboration between radiation oncology, nuclear medicine/radiology, and medical physics teams is necessary, as optimal and safe use of molecular imaging can be ensured only within appropriate interdisciplinary teams.
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Affiliation(s)
- Robert Jeraj
- School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin; and Faculty of Mathematics and Physics, University of Ljubljana, Ljubljana, Slovenia
| | - Tyler Bradshaw
- School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin; and
| | - Urban Simončič
- Faculty of Mathematics and Physics, University of Ljubljana, Ljubljana, Slovenia
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Prognostic role of metabolic parameters of (18)F-FDG PET-CT scan performed during radiation therapy in locally advanced head and neck squamous cell carcinoma. Eur J Nucl Med Mol Imaging 2015; 42:1984-94. [PMID: 26081941 PMCID: PMC4623084 DOI: 10.1007/s00259-015-3104-8] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2015] [Accepted: 05/28/2015] [Indexed: 11/03/2022]
Abstract
Purpose To evaluate the prognostic value of 18F-FDG PET-CT performed in the third week (iPET) of definitive radiation therapy (RT) in patients with newly diagnosed locally advanced mucosal primary head and neck squamous-cell-carcinoma (MPHNSCC). Methodology Seventy-two patients with MPHNSCC treated with radical RT underwent staging PET-CT and iPET. The maximum standardised uptake value (SUVmax), metabolic tumour volume (MTV) and total lesional glycolysis (TLG) of primary tumour (PT) and index node (IN) [defined as lymph node(s) with highest TLG] were analysed, and results were correlated with loco-regional recurrence-free survival (LRFS), disease-free survival (DFS), metastatic failure-free survival(MFFS) and overall survival (OS), using Kaplan-Meier analysis. Results Optimal cutoffs (OC) were derived from receiver operating characteristic curves: SUVmax-PT = 4.25 g/mL, MTVPT = 3.3 cm3, TLGPT = 9.4 g, for PT, and SUVmax-IN = 4.05 g/mL, MTVIN = 1.85 cm3 and TLGIN = 7.95 g for IN. Low metabolic values in iPET for PT below OC were associated with statistically significant better LRFS and DFS. TLG was the best predictor of outcome with 2-year LRFS of 92.7 % vs. 71.1 % [p = 0.005, compared with SUVmax (p = 0.03) and MTV (p = 0.022)], DFS of 85.9 % vs. 60.8 % [p = 0.005, compared with SUVmax (p = 0.025) and MTV (p = 0.018)], MFFS of 85.9 % vs. 83.7 % [p = 0.488, compared with SUVmax (p = 0.52) and MTV (p = 0.436)], and OS of 81.1 % vs. 75.0 % [p = 0.279, compared with SUVmax (p = 0.345) and MTV (p = 0.512)]. There were no significant associations between the percentage reduction of primary tumour metabolic parameters and outcomes. In patients with nodal disease, metabolic parameters below OC (for both PT and IN) were significantly associated with all oncological outcomes, while TLG was again the best predictor: LRFS of 84.0 % vs. 55.3 % (p = 0.017), DFS of 79.4 % vs. 38.6 % (p = 0.001), MFFS 86.4 % vs. 68.2 % (p = 0.034) and OS 80.4 % vs. 55.7 % (p = 0.045). Conclusion The metabolic parameters of iPET can be useful predictors of patient outcome and potentially have a role in adaptive therapy for MPHNSCC. Among the three parameters, TLG was found to be the best prognostic indicator of oncological outcomes.
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Differding S, Hanin FX, Grégoire V. PET imaging biomarkers in head and neck cancer. Eur J Nucl Med Mol Imaging 2015; 42:613-22. [PMID: 25573630 DOI: 10.1007/s00259-014-2972-7] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2014] [Accepted: 12/03/2014] [Indexed: 12/31/2022]
Abstract
In locally advanced head and neck squamous cell carcinoma (HNSCC), the role of imaging becomes more and more critical in the management process. In this framework, molecular imaging techniques such as PET allow noninvasive assessment of a range of tumour biomarkers such as metabolism, hypoxia and proliferation, which can serve different purposes. First, in a pretreatment setting they can influence therapy selection strategies and target delineation for radiation therapy. Second, their predictive and/or prognostic value could help enhance the therapeutic ratio in the management of HNSCC. Third, treatment modification can be performed through the generation of a molecular-based heterogeneous dose distribution with dose escalation to the most resistant parts of the tumour, a concept known as dose painting. Fourth, they are increasingly becoming a tool for monitoring response to therapy. In this review, PET imaging biomarkers used in the routine management of HNSCC or under investigation are discussed.
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Affiliation(s)
- Sarah Differding
- Department of Radiation Oncology, and Center for Molecular Imaging, Radiotherapy and Oncology (MIRO), Institut de Recherche Expérimentale et Clinique (IREC), Université Catholique de Louvain, St-Luc University Hospital, Avenue Hippocrate 10, 1200, Brussels, Belgium,
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Gallamini A, Zwarthoed C, Borra A. Positron Emission Tomography (PET) in Oncology. Cancers (Basel) 2014; 6:1821-89. [PMID: 25268160 PMCID: PMC4276948 DOI: 10.3390/cancers6041821] [Citation(s) in RCA: 208] [Impact Index Per Article: 20.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2014] [Revised: 07/25/2014] [Accepted: 08/07/2014] [Indexed: 02/07/2023] Open
Abstract
Since its introduction in the early nineties as a promising functional imaging technique in the management of neoplastic disorders, FDG-PET, and subsequently FDG-PET/CT, has become a cornerstone in several oncologic procedures such as tumor staging and restaging, treatment efficacy assessment during or after treatment end and radiotherapy planning. Moreover, the continuous technological progress of image generation and the introduction of sophisticated software to use PET scan as a biomarker paved the way to calculate new prognostic markers such as the metabolic tumor volume (MTV) and the total amount of tumor glycolysis (TLG). FDG-PET/CT proved more sensitive than contrast-enhanced CT scan in staging of several type of lymphoma or in detecting widespread tumor dissemination in several solid cancers, such as breast, lung, colon, ovary and head and neck carcinoma. As a consequence the stage of patients was upgraded, with a change of treatment in 10%-15% of them. One of the most evident advantages of FDG-PET was its ability to detect, very early during treatment, significant changes in glucose metabolism or even complete shutoff of the neoplastic cell metabolism as a surrogate of tumor chemosensitivity assessment. This could enable clinicians to detect much earlier the effectiveness of a given antineoplastic treatment, as compared to the traditional radiological detection of tumor shrinkage, which usually takes time and occurs much later.
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Affiliation(s)
- Andrea Gallamini
- Department of Research and Medical Innovation, Antoine Lacassagne Cancer Center, Nice University, Nice Cedex 2-06189 Nice, France.
| | - Colette Zwarthoed
- Department of Nuclear Medicine, Antoine Lacassagne Cancer Center, Nice University, Nice Cedex 2-06189 Nice, France.
| | - Anna Borra
- Hematology Department S. Croce Hospital, Via M. Coppino 26, Cuneo 12100, Italy.
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Glucose metabolism gene expression patterns and tumor uptake of ¹⁸F-fluorodeoxyglucose after radiation treatment. Int J Radiat Oncol Biol Phys 2014; 90:620-7. [PMID: 25304950 DOI: 10.1016/j.ijrobp.2014.06.062] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2014] [Revised: 05/21/2014] [Accepted: 06/23/2014] [Indexed: 11/21/2022]
Abstract
PURPOSE To investigate whether radiation treatment influences the expression of glucose metabolism genes and compromises the potential use of (18)F-fluorodeoxyglucose positron emission tomography (FDG-PET) as a tool to monitor the early response of head and neck cancer xenografts to radiation therapy (RT). METHODS AND MATERIALS Low passage head and neck squamous cancer cells (UT14) were injected to the flanks of female nu/nu mice to generate xenografts. After tumors reached a size of 500 mm(3) they were treated with either sham RT or 15 Gy in 1 fraction. At different time points, days 3, 9, and 16 for controls and days 4, 7, 12, 21, 30, and 40 after irradiation, 2 to 3 mice were assessed with dynamic FDG-PET acquisition over 2 hours. Immediately after the FDG-PET the tumors were harvested for global gene expression analysis and immunohistochemical evaluation of GLUT1 and HK2. Different analytic parameters were used to process the dynamic PET data. RESULTS Radiation had no effect on key genes involved in FDG uptake and metabolism but did alter other genes in the HIF1α and glucose transport-related pathways. In contrast to the lack of effect on gene expression, changes in the protein expression patterns of the key genes GLUT1/SLC2A1 and HK2 were observed after radiation treatment. The changes in GLUT1 protein expression showed some correlation with dynamic FDG-PET parameters, such as the kinetic index. CONCLUSION (18)F-fluorodeoxyglucose positron emission tomography changes after RT would seem to represent an altered metabolic state and not a direct effect on the key genes regulating FDG uptake and metabolism.
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Schouten CS, de Bree R, van der Putten L, Noij DP, Hoekstra OS, Comans EFI, Witte BI, Doornaert PA, Leemans CR, Castelijns JA. Diffusion-weighted EPI- and HASTE-MRI and 18F-FDG-PET-CT early during chemoradiotherapy in advanced head and neck cancer. Quant Imaging Med Surg 2014; 4:239-50. [PMID: 25202659 DOI: 10.3978/j.issn.2223-4292.2014.07.15] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2014] [Accepted: 07/25/2014] [Indexed: 01/10/2023]
Abstract
MAIN PROBLEM Diffusion-weighted MRI (DW-MRI) has potential to predict chemoradiotherapy (CRT) response in head and neck squamous cell carcinoma (HNSCC) and is generally performed using echo-planar imaging (EPI). However, EPI-DWI is susceptible to geometric distortions. Half-fourier acquisition single-shot turbo spin-echo (HASTE)-DWI may be an alternative. This prospective pilot study evaluates the potential predictive value of EPI- and HASTE-DWI and 18F-fluorodeoxyglucose PET-CT (18F-FDG-PET-CT) early during CRT for locoregional outcome in HNSCC. METHODS Eight patients with advanced HNSCC (7 primary tumors and 25 nodal metastases) scheduled for CRT, underwent DW-MRI (using both EPI- and HASTE-DWI) and 18F-FDG-PET(-CT) pretreatment, early during treatment and three months after treatment. Median follow-up time was 38 months. RESULTS No local recurrences were detected during follow-up. Median Apparent Diffusion Coefficient (ADC)EPI-values in primary tumors increased from 77×10(-5) mm(2)/s pretreatment, to 113×10(-5) mm(2)/s during treatment (P=0.02), whereas ADCHASTE did not increase (74 and 74 mm(2)/s, respectively). Two regional recurrences were diagnosed. During treatment, ADCEPI tended to be higher for patients with regional control [(117.3±12.1)×10(-5) mm(2)/s] than for patients with a recurrence [(98.0±4.2)×10(-5) mm(2)/s]. This difference was not seen with ADCHASTE. No correlations between ΔADCEPI and ΔSUV (Standardized Uptake Value) were found in the primary tumor or nodal metastases. CONCLUSIONS HASTE-DWI seems to be inadequate in early CRT response prediction, compared to EPI-DWI which has potential to predict locoregional outcome. EPI-DWI and 18F-FDG-PET-CT potentially provide independent information in the early response to treatment, since no correlations were found between ΔADCEPI and ΔSUV.
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Affiliation(s)
- Charlotte S Schouten
- 1 Department of Otolaryngology-Head and Neck Surgery, 2 Department of Radiology and Nuclear Medicine, 3 Department of Epidemiology and Biostatistics, 4 Department of Radiation Oncology, VU University Medical Center, Amsterdam, the Netherlands
| | - Remco de Bree
- 1 Department of Otolaryngology-Head and Neck Surgery, 2 Department of Radiology and Nuclear Medicine, 3 Department of Epidemiology and Biostatistics, 4 Department of Radiation Oncology, VU University Medical Center, Amsterdam, the Netherlands
| | - Lisa van der Putten
- 1 Department of Otolaryngology-Head and Neck Surgery, 2 Department of Radiology and Nuclear Medicine, 3 Department of Epidemiology and Biostatistics, 4 Department of Radiation Oncology, VU University Medical Center, Amsterdam, the Netherlands
| | - Daniel P Noij
- 1 Department of Otolaryngology-Head and Neck Surgery, 2 Department of Radiology and Nuclear Medicine, 3 Department of Epidemiology and Biostatistics, 4 Department of Radiation Oncology, VU University Medical Center, Amsterdam, the Netherlands
| | - Otto S Hoekstra
- 1 Department of Otolaryngology-Head and Neck Surgery, 2 Department of Radiology and Nuclear Medicine, 3 Department of Epidemiology and Biostatistics, 4 Department of Radiation Oncology, VU University Medical Center, Amsterdam, the Netherlands
| | - Emile F I Comans
- 1 Department of Otolaryngology-Head and Neck Surgery, 2 Department of Radiology and Nuclear Medicine, 3 Department of Epidemiology and Biostatistics, 4 Department of Radiation Oncology, VU University Medical Center, Amsterdam, the Netherlands
| | - Birgit I Witte
- 1 Department of Otolaryngology-Head and Neck Surgery, 2 Department of Radiology and Nuclear Medicine, 3 Department of Epidemiology and Biostatistics, 4 Department of Radiation Oncology, VU University Medical Center, Amsterdam, the Netherlands
| | - Patricia A Doornaert
- 1 Department of Otolaryngology-Head and Neck Surgery, 2 Department of Radiology and Nuclear Medicine, 3 Department of Epidemiology and Biostatistics, 4 Department of Radiation Oncology, VU University Medical Center, Amsterdam, the Netherlands
| | - C René Leemans
- 1 Department of Otolaryngology-Head and Neck Surgery, 2 Department of Radiology and Nuclear Medicine, 3 Department of Epidemiology and Biostatistics, 4 Department of Radiation Oncology, VU University Medical Center, Amsterdam, the Netherlands
| | - Jonas A Castelijns
- 1 Department of Otolaryngology-Head and Neck Surgery, 2 Department of Radiology and Nuclear Medicine, 3 Department of Epidemiology and Biostatistics, 4 Department of Radiation Oncology, VU University Medical Center, Amsterdam, the Netherlands
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PET/CT for Head and Neck Squamous Cell Cancer—Uses and Updates for Radiologists. CURRENT RADIOLOGY REPORTS 2014. [DOI: 10.1007/s40134-014-0047-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Early treatment response monitoring using 2-deoxy-2-[ 18F]fluoro-D-glucose positron emission tomography imaging during fractionated radiotherapy of head neck cancer xenografts. BIOMED RESEARCH INTERNATIONAL 2014; 2014:598052. [PMID: 24877119 PMCID: PMC4022256 DOI: 10.1155/2014/598052] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/22/2013] [Accepted: 03/28/2014] [Indexed: 12/15/2022]
Abstract
Background. To determine the optimal timing and analytic method of 2-deoxy-2-[18F]fluoro-D-glucose positron emission tomography (PET) imaging during fractionated radiotherapy (RT) to predict tumor control. Methods. Ten head neck squamous cell carcinoma xenografts derived from the UT-14-SCC cell line were irradiated with 50 Gy at 2 Gy per day over 5 weeks. Dynamic PET scans were acquired over 70 minutes at baseline (week 0) and weekly for seven weeks. PET data were analyzed using standard uptake value (SUV), retention index (RI), sensitivity factor (SF), and kinetic index (Ki). Results. Four xenografts had local failure (LF) and 6 had local control. Eighty scans from week 0 to week 7 were analyzed. RI and SF after 10 Gy appeared to be the optimal predictors for LF. In contrast, SUV and Ki during RT were not significant predictors for LF. Conclusion. RI and SF of PET obtained after the first week of fractionated RT were the optimal methods and timing to predict tumor control.
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Castelli J, Simon A, Acosta O, Haigron P, Nassef M, Henry O, Chajon E, de Crevoisier R. The role of imaging in adaptive radiotherapy for head and neck cancer. Ing Rech Biomed 2014. [DOI: 10.1016/j.irbm.2013.12.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Pérez Romasanta LA, García Velloso MJ, López Medina A. Functional imaging in radiation therapy planning for head and neck cancer. Rep Pract Oncol Radiother 2013; 18:376-82. [PMID: 24416582 PMCID: PMC3863200 DOI: 10.1016/j.rpor.2013.10.007] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2013] [Revised: 10/16/2013] [Accepted: 10/16/2013] [Indexed: 11/22/2022] Open
Abstract
Functional imaging and its application to radiotherapy (RT) is a rapidly expanding field with new modalities and techniques constantly developing and evolving. As technologies improve, it will be important to pay attention to their implementation. This review describes the main achievements in the field of head and neck cancer (HNC) with particular remarks on the unsolved problems.
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Affiliation(s)
- Luis A. Pérez Romasanta
- Radiation Oncology, Hospital Universitario de Salamanca, Ps. San Vicente 58, 37007 Salamanca, Spain
| | | | - Antonio López Medina
- Medical Physics Department and Radiological Protection, Galaria – Hospital do Meixoeiro – Complexo Hospitalario Universitario de Vigo, Vigo, Spain
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Ghadjar P, Sun H, Zimmermann F, Bodis S, Bernier J, Studer G, Aebersold DM. Physical examination during chemoradiation predicts outcome of locally advanced head and neck cancer. Secondary results of a randomized phase III trial (SAKK 10/94). Oral Oncol 2013; 49:1006-9. [PMID: 23916716 DOI: 10.1016/j.oraloncology.2013.07.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2013] [Accepted: 07/09/2013] [Indexed: 11/24/2022]
Abstract
OBJECTIVES To analyze the prognostic value of clinical tumor response during chemoradiation for locally advanced head and neck cancer. PATIENTS AND METHODS The locoregional response at 50.4Gy was assessed by physical examination (PE) in patients treated within the randomized trial SAKK 10/94 using hyperfractionated radiotherapy (RT), median total dose 74.4Gy with or without cisplatin 20mg/m(2) chemotherapy on 5 consecutive days during weeks 1 and 5 or 6 of RT. Response was classified as a complete response (CR), complete response with uncertainty (Cru), partial response (PR), stable disease (SD), or progressive disease (PD). The primary endpoint was time to treatment failure (TTF) due to any cause. Secondary endpoints included locoregional-recurrence-free survival (LRRFS), distant metastasis-free survival (DMFS) and overall survival (OS). Univariate and multivariate Cox proportional hazards (PH) models were applied to analyze the associations between survival endpoints and clinical tumor response. RESULTS A total of 136, 131 and 97 patients were evaluable for response at the primary tumor, lymph nodes and both sites combined, respectively. At 50.4Gy 57/136 (42%), 46/131 (35%) and 21/97 (22%) patients had a good response (CR/Cru vs. PR/SD) at the primary tumor, the lymph nodes, and both sites combined, respectively. The median follow-up times were 11.4, 9.6 and 11.4years for the three groups. Good responses were all significantly associated with improved TTF, LRRFS, DMFS and OS in univariate analysis whereas good response at the primary tumor and lymph nodes remained significantly associated with TTF and OS after multivariate Cox PH models. CONCLUSIONS Locoregional response at 50.4Gy was identified as predictor of oncologic outcome. PE during treatment should not be underestimated in clinical practice.
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Affiliation(s)
- Pirus Ghadjar
- Departments of Radiation Oncology, Charité University Medicine, Germany; Inselspital, Bern University Hospital, Switzerland.
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Hoshikawa H, Mori T, Kishino T, Yamamoto Y, Inamoto R, Akiyama K, Mori N, Nishiyama Y. Changes in 18F-fluorothymidine and 18F-fluorodeoxyglucose positron emission tomography imaging in patients with head and neck cancer treated with chemoradiotherapy. Ann Nucl Med 2013; 27:363-70. [DOI: 10.1007/s12149-013-0694-8] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2012] [Accepted: 01/23/2013] [Indexed: 11/30/2022]
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Newbold K, Powell C. PET/CT in Radiotherapy Planning for Head and Neck Cancer. Front Oncol 2012; 2:189. [PMID: 23233906 PMCID: PMC3518254 DOI: 10.3389/fonc.2012.00189] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2012] [Accepted: 11/20/2012] [Indexed: 11/25/2022] Open
Abstract
The use of PET/CT as an adjunct in radiotherapy planning is an attractive option in head and neck cancer (HNC) for several reasons. First, with potentially better identification of the disease extent, i.e., staging, the risk of geographical miss of radiation delivery to the gross tumor volume is reduced. Second, in characterizing the biological behavior of the disease for example, areas of hypoxia, rich or poor vascularity, or high cell proliferation, PET/CT can identify biological target volumes either for escalation of radiation dose or to predict the requirement for the addition of a radiosensitizer or alternative treatment strategies. 18F-FDG is the most common tracer used in oncology studies, but many other tracers have been investigated with several entering clinical practice, although these remain predominantly in the research domain in HNC.
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Affiliation(s)
- Katie Newbold
- The Royal Marsden National Health Service Trust London, UK
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Paidpally V, Chirindel A, Lam S, Agrawal N, Quon H, Subramaniam RM. FDG-PET/CT imaging biomarkers in head and neck squamous cell carcinoma. ACTA ACUST UNITED AC 2012; 4:633-647. [PMID: 23482696 DOI: 10.2217/iim.12.60] [Citation(s) in RCA: 90] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
This article discusses the value of 18F-fluoro-2-deoxyglucose PET/CT imaging biomarkers in head and neck squamous cell carcinoma. 18F-fluoro-2-deoxyglucose PET/CT is valuable at baseline staging, radiotherapy planning, therapy response assessment and in the follow-up of patients with head and neck squamous cell carcinoma. Maximum and peak standardized uptake value (SUVmax and SUVpeak), metabolic tumor volume and total lesion glycolysis are the common 18F-fluoro-2-deoxyglucose quantitative parameters that have been studied, along with qualitative assessments. These parameters will be evaluated with respect to their established or potential role as noninvasive biomarkers for patient risk stratification, treatment response and survival outcome.
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Affiliation(s)
- Vasavi Paidpally
- Russel H Morgan Department of Radiology & Radiology Science, Johns Hopkins Medical Institutions, 601 North Caroline Street/JHOC 3235, Baltimore, MD 21287, USA
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Predicting outcomes in radiation oncology--multifactorial decision support systems. Nat Rev Clin Oncol 2012; 10:27-40. [PMID: 23165123 DOI: 10.1038/nrclinonc.2012.196] [Citation(s) in RCA: 276] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
With the emergence of individualized medicine and the increasing amount and complexity of available medical data, a growing need exists for the development of clinical decision-support systems based on prediction models of treatment outcome. In radiation oncology, these models combine both predictive and prognostic data factors from clinical, imaging, molecular and other sources to achieve the highest accuracy to predict tumour response and follow-up event rates. In this Review, we provide an overview of the factors that are correlated with outcome-including survival, recurrence patterns and toxicity-in radiation oncology and discuss the methodology behind the development of prediction models, which is a multistage process. Even after initial development and clinical introduction, a truly useful predictive model will be continuously re-evaluated on different patient datasets from different regions to ensure its population-specific strength. In the future, validated decision-support systems will be fully integrated in the clinic, with data and knowledge being shared in a standardized, instant and global manner.
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Delayed response assessment with FDG-PET-CT following (chemo) radiotherapy for locally advanced head and neck squamous cell carcinoma. Clin Radiol 2012; 67:966-75. [PMID: 22595082 DOI: 10.1016/j.crad.2012.02.016] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2012] [Revised: 02/22/2012] [Accepted: 02/26/2012] [Indexed: 01/01/2023]
Abstract
AIMS To analyse the diagnostic accuracy of delayed response assessment 2-[¹⁸F]-fluoro-2-deoxy-d-glucose (FDG) positron-emission tomography-computed tomography (PET-CT) following (chemo)radiation for locally advanced head and neck squamous cell carcinoma (HNSCC). MATERIAL AND METHODS Forty-four consecutive patients who underwent a baseline and response assessment using FDG PET-CT for HNSCC following (chemo)radiation between August 2008 and April 2011 were identified retrospectively. Clinicopathological findings and serial clinical follow-up provided the reference standard. RESULTS Median follow-up was 14 months (range 5-43 months). Response assessment FDG PET-CT was performed at 16.8 weeks (inter-quartile range 15.8-18.6 weeks). Thirty-one out of 44 (70%) response assessment examinations showed a complete metabolic response. Seven out of 40 (18%) assessable primary tumours were positive. Eight out of 41 (20%) patients with pre-treatment nodal disease had equivocal or positive FDG uptake at response assessment. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) for primary disease and nodal disease were 100, 89, 43, 100, and 100%, and 92, 63, and 100%, respectively. Seven patients had residual FDG-negative soft tissue detectable on the unenhanced CT component of the response assessment images; all remained disease free after clinical observation. Distant metastases were detected on response assessment FDG PET-CT in four out of the 44 patients (10%). CONCLUSION The diagnostic accuracy of response assessment with FDG PET-CT performed at approximately 16 weeks post-(chemo)radiotherapy is good. The very high NPV of a complete metabolic response can be used to guide management decisions. Although the PPV is limited for local residual disease, FDG PET-CT is a powerful screening tool for the detection of interim metastatic disease.
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Can “early” and “late” 18F-FDG PET–CT be used as prognostic factors for the clinical outcome of patients with locally advanced head and neck cancer treated with radio-chemotherapy? Radiother Oncol 2012; 103:63-8. [DOI: 10.1016/j.radonc.2012.03.001] [Citation(s) in RCA: 60] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2011] [Revised: 02/15/2012] [Accepted: 03/04/2012] [Indexed: 12/15/2022]
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