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Fujimoto K, Shiinoki T, Kawazoe Y, Yuasa Y, Mukaidani W, Manabe Y, Kajima M, Tanaka H. Biomechanical imaging biomarker during chemoradiotherapy predicts treatment response in head and neck squamous cell carcinoma. Phys Med Biol 2024; 69:055033. [PMID: 38359451 DOI: 10.1088/1361-6560/ad29b9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 02/15/2024] [Indexed: 02/17/2024]
Abstract
Objective. For response-adapted adaptive radiotherapy (R-ART), promising biomarkers are needed to predict post-radiotherapy (post-RT) responses using routine clinical information obtained during RT. In this study, a patient-specific biomechanical model (BM) of the head and neck squamous cell carcinoma (HNSCC) was proposed using the pre-RT maximum standardized uptake value (SUVmax) of18F-fluorodeoxyglucose (FDG) and tumor structural changes during RT as evaluated using computed tomography (CT). In addition, we evaluated the predictive performance of BM-driven imaging biomarkers for the treatment response of patients with HNSCC who underwent concurrent chemoradiotherapy (CCRT).Approach. Patients with histologically confirmed HNSCC treated with definitive CCRT were enrolled in this study. All patients underwent CT two times as follows: before the start of RT (pre-RT) and 3 weeks after the start of RT (mid-RT). Among these patients, 67 patients who underwent positron emission tomography/CT during the pre-RT period were included in the final analysis. The locoregional control (LC), progression-free survival (PFS), and overall survival (OS) prediction performances of whole tumor stress change (TS) between pre- and mid-RT computed using BM were assessed using univariate, multivariate, and Kaplan-Meier survival curve analyses, respectively. Furthermore, performance was compared with the pre and post-RT SUVmax, tumor volume reduction rate (TVRR) during RT, and other clinical prognostic factors.Main results. For both univariate, multivariate, and survival curve analyses, the significant prognostic factors were as follows (p< 0.05): TS and TVRR for LC; TS and pre-RT FDG-SUVmaxfor PFS; and TS only for OS. In addition, for 2 year LC, PFS, and OS prediction, TS showed a comparable predictive performance to post-RT FDG-SUVmax.Significance. BM-driven TS is an effective prognostic factor for tumor treatment response after CCRT. The proposed method can be a feasible functional imaging biomarker that can be acquired during RT using only routine clinical data and may provide useful information for decision-making during R-ART.
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Affiliation(s)
- Koya Fujimoto
- Department of Radiation Oncology, Graduate School of Medicine, Yamaguchi University, Ube, Japan
| | - Takehiro Shiinoki
- Department of Radiation Oncology, Graduate School of Medicine, Yamaguchi University, Ube, Japan
| | - Yusuke Kawazoe
- Department of Radiation Oncology, Graduate School of Medicine, Yamaguchi University, Ube, Japan
- Department of Radiological Technology, Yamaguchi University Hospital, Ube, Japan
| | - Yuki Yuasa
- Department of Radiological Technology, Yamaguchi University Hospital, Ube, Japan
| | - Wataru Mukaidani
- Department of Radiological Technology, Yamaguchi University Hospital, Ube, Japan
| | - Yuki Manabe
- Department of Radiation Oncology, Graduate School of Medicine, Yamaguchi University, Ube, Japan
| | - Miki Kajima
- Department of Radiation Oncology, Graduate School of Medicine, Yamaguchi University, Ube, Japan
| | - Hidekazu Tanaka
- Department of Radiation Oncology, Graduate School of Medicine, Yamaguchi University, Ube, Japan
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Adjogatse D, Michaelidou A, Sanchez Nieto B, Kozarski R, Sassoon I, Evans M, Rackley T, Shah S, Eaton D, Pike L, Curry S, Gould SM, Thomas C, Kong A, Petkar I, Reis-Ferreira M, Connor S, Barrington SF, Lei M, Guerrero Urbano T. Protocol letter: Intra-treatment Image Guided Adaptive Radiotherapy Dose-escalation Study (InGReS) - A Phase 1 multicentre feasibility study. Radiother Oncol 2023; 183:109645. [PMID: 36997123 DOI: 10.1016/j.radonc.2023.109645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 03/21/2023] [Indexed: 03/30/2023]
Affiliation(s)
- Delali Adjogatse
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK; Department of Clinical Oncology, Guy's and St Thomas' NHS Foundation Trust, London, UK.
| | - Andriana Michaelidou
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK; Department of Clinical Oncology, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | | | - Robert Kozarski
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Isabel Sassoon
- Computer Science Department, Brunel University London, Uxbridge, UK
| | - Mererid Evans
- Department of Oncology, Velindre University NHS Trust, Cardiff, UK
| | - Thomas Rackley
- Department of Oncology, Velindre University NHS Trust, Cardiff, UK
| | - Simon Shah
- Department of Medical Physics, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - David Eaton
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK; Department of Medical Physics, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Lucy Pike
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Sorcha Curry
- King's College and Guy's and St Thomas' Hospital PET Centre, London, UK
| | - Sarah-May Gould
- King's College and Guy's and St Thomas' Hospital PET Centre, London, UK
| | - Christopher Thomas
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK; Department of Medical Physics, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Anthony Kong
- Department of Clinical Oncology, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Imran Petkar
- Department of Clinical Oncology, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Miguel Reis-Ferreira
- Department of Clinical Oncology, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Stephen Connor
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK; Department of Radiology Guy's and St Thomas' NHS Foundation Trust, London, UK; Department of Neuroradiology, King's College Hospital, London UK
| | - Sally Fiona Barrington
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK; King's College and Guy's and St Thomas' Hospital PET Centre, London, UK
| | - Mary Lei
- Department of Clinical Oncology, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Teresa Guerrero Urbano
- Department of Clinical Oncology, Guy's and St Thomas' NHS Foundation Trust, London, UK; King's College London, Faculty of Dentistry, Oral and Craniofacial Sciences, London, UK
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Liu X, Li Z, Yin Y. Clinical application of MR-Linac in tumor radiotherapy: a systematic review. Radiat Oncol 2023; 18:52. [PMID: 36918884 PMCID: PMC10015924 DOI: 10.1186/s13014-023-02221-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Accepted: 02/01/2023] [Indexed: 03/15/2023] Open
Abstract
Recent years have seen both a fresh knowledge of cancer and impressive advancements in its treatment. However, the clinical treatment paradigm of cancer is still difficult to implement in the twenty-first century due to the rise in its prevalence. Radiotherapy (RT) is a crucial component of cancer treatment that is helpful for almost all cancer types. The accuracy of RT dosage delivery is increasing as a result of the quick development of computer and imaging technology. The use of image-guided radiation (IGRT) has improved cancer outcomes and decreased toxicity. Online adaptive radiotherapy will be made possible by magnetic resonance imaging-guided radiotherapy (MRgRT) using a magnetic resonance linear accelerator (MR-Linac), which will enhance the visibility of malignancies. This review's objectives are to examine the benefits of MR-Linac as a treatment approach from the perspective of various cancer patients' prognoses and to suggest prospective development areas for additional study.
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Affiliation(s)
- Xin Liu
- Department of Oncology, Affiliated Hospital of Southwest Medical University, Luzhou, 646000, China.,Department of Radiation Physics, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, China
| | - Zhenjiang Li
- Department of Radiation Physics, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, China.
| | - Yong Yin
- Department of Oncology, Affiliated Hospital of Southwest Medical University, Luzhou, 646000, China. .,Department of Radiation Physics, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, China.
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Lavigne D, Ng SP, O’Sullivan B, Nguyen-Tan PF, Filion E, Létourneau-Guillon L, Fuller CD, Bahig H. Magnetic Resonance-Guided Radiation Therapy for Head and Neck Cancers. Curr Oncol 2022; 29:8302-8315. [PMID: 36354715 PMCID: PMC9689607 DOI: 10.3390/curroncol29110655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2022] [Revised: 10/25/2022] [Accepted: 10/28/2022] [Indexed: 11/06/2022] Open
Abstract
Despite the significant evolution of radiation therapy (RT) techniques in recent years, many patients with head and neck cancer still experience significant toxicities during and after treatments. The increased soft tissue contrast and functional sequences of magnetic resonance imaging (MRI) are particularly attractive in head and neck cancer and have led to the increasing development of magnetic resonance-guided RT (MRgRT). This approach refers to the inclusion of the additional information acquired from a diagnostic or planning MRI in radiation treatment planning, and now extends to online high-quality daily imaging generated by the recently developed MR-Linac. MRgRT holds numerous potentials, including enhanced baseline and planning evaluations, anatomical and functional treatment adaptation, potential for hypofractionation, and multiparametric assessment of response. This article offers a structured review of the current literature on these established and upcoming roles of MRI for patients with head and neck cancer undergoing RT.
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Affiliation(s)
- Danny Lavigne
- Department of Radiation Oncology, Centre Hospitalier de l’Université de Montréal, University of Montreal, Montreal, QC H2X 3E4, Canada
| | - Sweet Ping Ng
- Department of Radiation Oncology, Olivia Newton-John Cancer Centre, Austin Health, Melbourne, VI 3084, Australia
| | - Brian O’Sullivan
- Department of Radiation Oncology, Centre Hospitalier de l’Université de Montréal, University of Montreal, Montreal, QC H2X 3E4, Canada
| | - Phuc Felix Nguyen-Tan
- Department of Radiation Oncology, Centre Hospitalier de l’Université de Montréal, University of Montreal, Montreal, QC H2X 3E4, Canada
| | - Edith Filion
- Department of Radiation Oncology, Centre Hospitalier de l’Université de Montréal, University of Montreal, Montreal, QC H2X 3E4, Canada
| | - Laurent Létourneau-Guillon
- Department of Radiology, Centre Hospitalier de l’Université de Montréal, University of Montreal, Montreal, QC H2X 3E4, Canada
| | - Clifton D. Fuller
- Department of Radiation Oncology, MD Anderson Cancer Center, University of Texas, Houston, TX 77030, USA
| | - Houda Bahig
- Department of Radiation Oncology, Centre Hospitalier de l’Université de Montréal, University of Montreal, Montreal, QC H2X 3E4, Canada
- Correspondence:
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Early Response Prediction of Multiparametric Functional MRI and 18F-FDG-PET in Patients with Head and Neck Squamous Cell Carcinoma Treated with (Chemo)Radiation. Cancers (Basel) 2022; 14:cancers14010216. [PMID: 35008380 PMCID: PMC8750157 DOI: 10.3390/cancers14010216] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2021] [Revised: 12/20/2021] [Accepted: 12/23/2021] [Indexed: 12/14/2022] Open
Abstract
Simple Summary Patients with locally-advanced head and neck squamous cell carcinoma (HNSCC) have variable responses to (chemo)radiotherapy. A reliable early prediction of outcomes allows for enhancing treatment efficacy and follow-up monitoring. Early tumoral changes can be captured by functional imaging (DWI/IVIM/DCE/18F-FDG-PET-CT) parameters, which allow for the construction of accurate patient-specific prognostic models for locoregional recurrence-free survival, distant metastasis-free survival and overall survival. We also present clinical applicable risk stratification in high/medium/low risks for these patient outcomes. This can enable personalized treatment (adaptation) management early on during treatment, improve counseling and enhance patient-specific post-therapy monitoring. Abstract Background: Patients with locally-advanced head and neck squamous cell carcinoma (HNSCC) have variable responses to (chemo)radiotherapy. A reliable prediction of outcomes allows for enhancing treatment efficacy and follow-up monitoring. Methods: Fifty-seven histopathologically-proven HNSCC patients with curative (chemo)radiotherapy were prospectively included. All patients had an MRI (DW,-IVIM, DCE-MRI) and 18F-FDG-PET/CT before and 10 days after start-treatment (intratreatment). Primary tumor functional imaging parameters were extracted. Univariate and multivariate analysis were performed to construct prognostic models and risk stratification for 2 year locoregional recurrence-free survival (LRFFS), distant metastasis-free survival (DMFS) and overall survival (OS). Model performance was measured by the cross-validated area under the receiver operating characteristic curve (AUC). Results: The best LRFFS model contained the pretreatment imaging parameters ADC_kurtosis, Kep and SUV_peak, and intratreatment imaging parameters change (Δ) Δ-ADC_skewness, Δ-f, Δ-SUV_peak and Δ-total lesion glycolysis (TLG) (AUC = 0.81). Clinical parameters did not enhance LRFFS prediction. The best DMFS model contained pretreatment ADC_kurtosis and SUV_peak (AUC = 0.88). The best OS model contained gender, HPV-status, N-stage, pretreatment ADC_skewness, D, f, metabolic-active tumor volume (MATV), SUV_mean and SUV_peak (AUC = 0.82). Risk stratification in high/medium/low risk was significantly prognostic for LRFFS (p = 0.002), DMFS (p < 0.001) and OS (p = 0.003). Conclusions: Intratreatment functional imaging parameters capture early tumoral changes that only provide prognostic information regarding LRFFS. The best LRFFS model consisted of pretreatment, intratreatment and Δ functional imaging parameters; the DMFS model consisted of only pretreatment functional imaging parameters, and the OS model consisted ofHPV-status, gender and only pretreatment functional imaging parameters. Accurate clinically applicable risk stratification calculators can enable personalized treatment (adaptation) management, early on during treatment, improve counseling and enhance patient-specific post-therapy monitoring.
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Song Y, Liu F, Ruan W, Hu F, Younis MH, Gao Z, Ming J, Huang T, Cai W, Lan X. Head-to-Head Comparison of Neck 18F-FDG PET/MR and PET/CT in the Diagnosis of Differentiated Thyroid Carcinoma Patients after Comprehensive Treatment. Cancers (Basel) 2021; 13:cancers13143436. [PMID: 34298651 PMCID: PMC8307331 DOI: 10.3390/cancers13143436] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 06/13/2021] [Accepted: 06/28/2021] [Indexed: 11/16/2022] Open
Abstract
Simple Summary The most advanced positron emission tomography–magnetic resonance (PET/MR) combines the high soft tissue contrast of MRI with the high functional/metabolic sensitivity of PET and has the potential to achieve the highest level of diagnostic performance for refractory malignancies in differentiated thyroid cancer (DTC) patients. The utility of PET/MR in the postoperative follow-up of DTC patients has been relatively ambiguous. This retrospective study compared 18F-fluorodeoxyglucose neck PET/MR with PET/CT head-to-head, in order to evaluate the diagnostic efficacy of PET/MR in assessment malignancy in DTC patients after comprehensive treatment. We determined that PET/MR presented better detection rates, image conspicuity, and sensitivity than PET/CT in recurrent DTC lesions and cervical lymph node metastases. The addition of neck PET/MR scan after whole-body PET/CT may provide more favorable diagnostic information. Abstract We explored the clinical value of 18F-FDG PET/MR in a head-to-head comparison with PET/CT in loco-regional recurrent and metastatic cervical lymph nodes of differentiated thyroid carcinoma (DTC) patients after comprehensive treatment. 18F-FDG PET/CT and neck PET/MR scans that were performed in DTC patients with suspected recurrence or cervical lymph node metastasis after comprehensive treatment were retrospectively analyzed. Detection rates, diagnostic efficacy, image conspicuity, and measured parameters were compared between 18F-FDG PET/CT and PET/MR. The gold standard was histopathological diagnosis or clinical and imaging follow-up results for more than 6 months. Among the 37 patients enrolled, no suspicious signs of tumor were found in 10 patients, 24 patients had lymph node metastasis, and 3 patients had both recurrence and lymph node metastases. A total of 130 lesions were analyzed, including 3 malignant and 6 benign thyroid nodules, as well as 74 malignant and 47 benign cervical lymph nodes. Compared with PET/CT, PET/MR presented better detection rates (91.5% vs. 80.8%), image conspicuity (2.74 ± 0.60 vs. 1.9 ± 0.50, p < 0.001, especially in complex level II), and sensitivity (80.5% vs. 61.0%). SUVmax differed in benign and malignant lymph nodes in both imaging modalities (p < 0.05). For the same lesion, the SUVmax, SUVmean, and diameters measured by PET/MR and PET/CT were consistent and had significant correlation. In conclusion, compared with 18F-FDG PET/CT, PET/MR was more accurate in determining recurrent and metastatic lesions, both from a patient-based and from a lesion-based perspective. Adding local PET/MR after whole-body PET/CT may be recommended to provide more precise diagnostic information and scope of surgical resection without additional ionizing radiation. Further scaling-up prospective studies and economic benefit analysis are expected.
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Affiliation(s)
- Yangmeihui Song
- Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; (Y.S.); (F.L.); (W.R.); (F.H.); (Z.G.)
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430030, China
| | - Fang Liu
- Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; (Y.S.); (F.L.); (W.R.); (F.H.); (Z.G.)
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430030, China
| | - Weiwei Ruan
- Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; (Y.S.); (F.L.); (W.R.); (F.H.); (Z.G.)
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430030, China
| | - Fan Hu
- Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; (Y.S.); (F.L.); (W.R.); (F.H.); (Z.G.)
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430030, China
| | - Muhsin H. Younis
- Department of Radiology, University of Wisconsin-Madison, Madison, WI 53705, USA; (M.H.Y.); (W.C.)
- Department of Medical Physics, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Zairong Gao
- Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; (Y.S.); (F.L.); (W.R.); (F.H.); (Z.G.)
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430030, China
| | - Jie Ming
- Department of Breast and Thyroid Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; (J.M.); (T.H.)
| | - Tao Huang
- Department of Breast and Thyroid Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; (J.M.); (T.H.)
| | - Weibo Cai
- Department of Radiology, University of Wisconsin-Madison, Madison, WI 53705, USA; (M.H.Y.); (W.C.)
- Department of Medical Physics, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Xiaoli Lan
- Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; (Y.S.); (F.L.); (W.R.); (F.H.); (Z.G.)
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430030, China
- Correspondence:
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Boeke S, Mönnich D, van Timmeren JE, Balermpas P. MR-Guided Radiotherapy for Head and Neck Cancer: Current Developments, Perspectives, and Challenges. Front Oncol 2021; 11:616156. [PMID: 33816247 PMCID: PMC8017313 DOI: 10.3389/fonc.2021.616156] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2020] [Accepted: 02/01/2021] [Indexed: 02/06/2023] Open
Abstract
Based on the development of new hybrid machines consisting of an MRI and a linear accelerator, magnetic resonance image guided radiotherapy (MRgRT) has revolutionized the field of adaptive treatment in recent years. Although an increasing number of studies have been published, investigating technical and clinical aspects of this technique for various indications, utilizations of MRgRT for adaptive treatment of head and neck cancer (HNC) remains in its infancy. Yet, the possible benefits of this novel technology for HNC patients, allowing for better soft-tissue delineation, intra- and interfractional treatment monitoring and more frequent plan adaptations appear more than obvious. At the same time, new technical, clinical, and logistic challenges emerge. The purpose of this article is to summarize and discuss the rationale, recent developments, and future perspectives of this promising radiotherapy modality for treating HNC.
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Affiliation(s)
- Simon Boeke
- Department of Radiation Oncology, University Hospital and Medical Faculty, Eberhard Karls University Tübingen, Tübingen, Germany
| | - David Mönnich
- Section for Biomedical Physics, Department of Radiation Oncology, University Hospital and Medical Faculty, Eberhard Karls University Tübingen, Tübingen, Germany
| | | | - Panagiotis Balermpas
- Department of Radiation Oncology, University Hospital Zurich, Zurich, Switzerland
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Benjamin J, Hephzibah J, Shanthly N, Oommen R, Mathew D, Pavamani S, Rajnikanth J. F-18 FDG PET-CT for response evaluation in head and neck malignancy: Experience from a tertiary level hospital in south India. Cancer Rep (Hoboken) 2021; 4:e1333. [PMID: 33660434 PMCID: PMC8222552 DOI: 10.1002/cnr2.1333] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Revised: 12/08/2020] [Accepted: 12/14/2020] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND Head and neck squamous cell carcinoma (HNSCC) accounts for 90% of head and neck cancers. There has been no established qualitative system of interpretation for therapy response assessment using PET-CT for HNSCC. AIM To assess response evaluation of nodal status in post-treatment PET-CT scans in HNSCC using a 5-point Likert scale (Deauville score [DS]). METHODS AND RESULTS Retro-prospective analysis was performed of the nodal status of pre and post-RT PET-CT in patients diagnosed with HNSCC (n = 43) from May 2013 to March 2018. All eligible patients underwent a pre-RT PET-CT scan before the start of RT. Another post-RT PET-CT scan was performed 12 weeks after the completion of RT. The median time from completion of radiotherapy (RT) to post-RT PET-CT was 92 days; 80% of the patients had their post-RT PET-CT scan between 77 and 147 days after therapy. Of 43 patients (M/33, F/10, age range 18 to 80 years (median 54 years) selected for the study, good concordance was noted between DS and clinical response in these patients. The change in SUV from pre-RT PET to post-RT PET was analyzed using a paired t-test. The P-value was found to be statistically significant while comparing pre and post-RT SUVmax levels showing that RT had significantly reduced the SUVmax levels of the nodes in DS 2-3 groups whereas the number of patients was too small to allow a reliable calculation in DS 4-5 groups. It was found that 36/39 patients with DS 1-3 had no nodal recurrence showing a high NPV of 92.3%. Of the four patients with DS 4-5, all had active disease showing PPV of 100%. Applying Fisher's exact test, the P-value was found to be .004. CONCLUSION DS seems to satisfy the requirements for a simple qualitative method of interpreting PET scans and for identifying patients requiring neck dissection. Consensus regarding qualitative assessment would facilitate standardization of PET reporting in clinical practice and enable comparative multicentric studies.
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Affiliation(s)
- Justin Benjamin
- Department of Nuclear Medicine, Christian Medical College, Vellore, India
| | - Julie Hephzibah
- Department of Nuclear Medicine, Christian Medical College, Vellore, India
| | | | - Regi Oommen
- Department of Nuclear Medicine, Christian Medical College, Vellore, India
| | - David Mathew
- Department of Nuclear Medicine, Christian Medical College, Vellore, India
| | - Simon Pavamani
- Department of Radiation Oncology, Christian Medical College & Hospital, Vellore, India
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Flaus A, Nevesny S, Guy JB, Sotton S, Magné N, Prévot N. Positron emission tomography for radiotherapy planning in head and neck cancer: What impact? Nucl Med Commun 2021; 42:234-243. [PMID: 33252513 DOI: 10.1097/mnm.0000000000001329] [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: 11/25/2022]
Abstract
PET-computed tomography (CT) plays a growing role to guide target volume delineation for head and neck cancer in radiation oncology. Pretherapeutic [18F]FDG PET-CT adds information to morphological imaging. First, as a whole-body imaging modality, it reveals regional or distant metastases that induce major therapeutic changes in more than 10% of the cases. Moreover, it allows better pathological lymph node selection which improves overall regional control and overall survival. Second, locally, it allows us to define the metabolic tumoral volume, which is a reliable prognostic feature for survival outcome. [18F]FDG PET-CT-based gross tumor volume (GTV) is on average significantly smaller than GTV based on CT. Nevertheless, the overlap is incomplete and more evaluation of composite GTV based on PET and GTV based on CT are needed. However, in clinical practice, the study showed that using GTV PET alone for treatment planning was similar to using GTVCT for local control and dose distribution was better as a dose to organs at risk significantly decreased. In addition to FDG, pretherapeutic PET could give access to different biological tumoral volumes - thanks to different tracers - guiding heterogeneous dose delivery (dose painting concept) to resistant subvolumes. During radiotherapy treatment, follow-up [18F]FDG PET-CT revealed an earlier and more important diminution of GTV than other imaging modality. It may be a valuable support for adaptative radiotherapy as a new treatment plan with a significant impact on dose distribution became possible. Finally, additional studies are required to prospectively validate long-term outcomes and lower toxicity resulting from the use of PET-CT in treatment planning.
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Affiliation(s)
- Anthime Flaus
- Service de Médecine Nucléaire, Centre Hospitalier Universitaire de Saint-Etienne, St Etienne
| | - Stéphane Nevesny
- Département de Radiothérapie, Institut de Cancérologie de la Loire-Lucien Neuwirth, St Priest en Jarez
| | - Jean-Baptiste Guy
- Département de Radiothérapie, Institut de Cancérologie de la Loire-Lucien Neuwirth, St Priest en Jarez
- UMR CNRS 5822/IN2P3, IPNL, PRISME, Laboratoire de Radiobiologie Cellulaire et Moléculaire, Faculté de Médecine Lyon-Sud, Université Lyon 1, Oullins Cedex
| | - Sandrine Sotton
- Department of Research and Teaching, Lucien Neuwirth Cancer Institute, Saint-Priest-en-Jarez, University Departement of Research and Teaching
| | - Nicolas Magné
- Département de Radiothérapie, Institut de Cancérologie de la Loire-Lucien Neuwirth, St Priest en Jarez
- UMR CNRS 5822/IN2P3, IPNL, PRISME, Laboratoire de Radiobiologie Cellulaire et Moléculaire, Faculté de Médecine Lyon-Sud, Université Lyon 1, Oullins Cedex
| | - Nathalie Prévot
- Service de Médecine Nucléaire, Centre Hospitalier Universitaire de Saint-Etienne, St Etienne
- INSERM U 1059 Sainbiose, Université Jean Monnet, Saint-Etienne, France
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Gerke O, Ehlers K, Motschall E, Høilund-Carlsen PF, Vach W. PET/CT-Based Response Evaluation in Cancer-a Systematic Review of Design Issues. Mol Imaging Biol 2021; 22:33-46. [PMID: 31016638 DOI: 10.1007/s11307-019-01351-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Positron emission tomography/x-ray computed tomography (PET/CT) has long been discussed as a promising modality for response evaluation in cancer. When designing respective clinical trials, several design issues have to be addressed, especially the number/timing of PET/CT scans, the approach for quantifying metabolic activity, and the final translation of measurements into a rule. It is unclear how well these issues have been tackled in quest of an optimised use of PET/CT in response evaluation. Medline via Ovid and Science Citation Index via Web of Science were systematically searched for articles from 2015 on cancer patients scanned with PET/CT before and during/after treatment. Reports were categorised as being either developmental or evaluative, i.e. focusing on either the establishment or the evaluation of a rule discriminating responders from non-responders. Of 124 included papers, 112 (90 %) were accuracy and/or prognostic studies; the remainder were response-curve studies. No randomised controlled trials were found. Most studies were prospective (62 %) and from single centres (85 %); median number of patients was 38.5 (range 5-354). Most (69 %) of the studies employed only one post-baseline scan. Quantification was mainly based on SUVmax (91 %), while change over time was most frequently used to combine measurements into a rule (79 %). Half of the reports were categorised as developmental, the other half evaluative. Most development studies assessed only one element (35/62, 56 %), most frequently the choice of cut-off points (25/62, 40 %). In summary, the majority of studies did not address the essential open issues in establishing PET/CT for response evaluation. Reasonably sized multicentre studies are needed to systematically compare the many different options when using PET/CT for response evaluation.
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Affiliation(s)
- Oke Gerke
- Department of Nuclear Medicine, Odense University Hospital, Odense, Denmark. .,Department of Clinical Research, University of Southern Denmark, Odense, Denmark.
| | - Karen Ehlers
- Department of Nuclear Medicine, Odense University Hospital, Odense, Denmark.,Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Edith Motschall
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Poul Flemming Høilund-Carlsen
- Department of Nuclear Medicine, Odense University Hospital, Odense, Denmark.,Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Werner Vach
- Department of Orthopaedics and Traumatology, University Hospital Basel, Basel, Switzerland
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Paterson C, Hargreaves S, Rumley CN. Functional Imaging to Predict Treatment Response in Head and Neck Cancer: How Close are We to Biologically Adaptive Radiotherapy? Clin Oncol (R Coll Radiol) 2020; 32:861-873. [PMID: 33127234 DOI: 10.1016/j.clon.2020.10.004] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Revised: 09/28/2020] [Accepted: 10/05/2020] [Indexed: 02/07/2023]
Abstract
It is increasingly recognised that head and neck cancer represents a spectrum of disease with a differential response to standard treatments. Although prognostic factors are well established, they do not reliably predict response. The ability to predict response early during radiotherapy would allow adaptation of treatment: intensifying treatment for those not responding adequately or de-intensifying remaining therapy for those likely to achieve a complete response. Functional imaging offers such an opportunity. Changes in parameters obtained with functional magnetic resonance imaging or positron emission tomography-computed tomography during treatment have been found to be predictive of disease control in head and neck cancer. Although many questions remain unanswered regarding the optimal implementation of these techniques, current, maturing and future studies may provide the much-needed homogeneous cohorts with larger sample sizes and external validation of parameters. With a stepwise and collaborative approach, we may be able to develop imaging biomarkers that allow us to deliver personalised, biologically adaptive radiotherapy for head and neck cancer.
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Affiliation(s)
- C Paterson
- Beatson West of Scotland Cancer Centre, Glasgow, UK.
| | | | - C N Rumley
- Department of Radiation Oncology, Townsville University Hospital, Douglas, Australia; South Western Clinical School, University of New South Wales, Sydney, Australia; Ingham Institute for Applied Medical Research, Sydney, Australia
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Thureau S, Briens A, Decazes P, Castelli J, Barateau A, Garcia R, Thariat J, de Crevoisier R. PET and MRI guided adaptive radiotherapy: Rational, feasibility and benefit. Cancer Radiother 2020; 24:635-644. [PMID: 32859466 DOI: 10.1016/j.canrad.2020.06.017] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Accepted: 06/22/2020] [Indexed: 02/07/2023]
Abstract
Adaptive radiotherapy (ART) corresponds to various replanning strategies aiming to correct for anatomical variations occurring during the course of radiotherapy. The goal of the article was to report the rational, feasibility and benefit of using PET and/or MRI to guide this ART strategy in various tumor localizations. The anatomical modifications defined by scanner taking into account tumour mobility and volume variation are not always sufficient to optimise treatment. The contribution of functional imaging by PET or the precision of soft tissue by MRI makes it possible to consider optimized ART. Today, the most important data for both PET and MRI are for lung, head and neck, cervical and prostate cancers. PET and MRI guided ART appears feasible and safe, however in a very limited clinical experience. Phase I/II studies should be therefore performed, before proposing cost-effectiveness comparisons in randomized trials and before using the approach in routine practice.
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Affiliation(s)
- S Thureau
- Département de radiothérapie et de physique médicale, centre Henri-Becquerel, QuantIF EA 4108, université de Rouen, 76000 Rouen, France.
| | - A Briens
- Département de radiothérapie, centre Eugène-Marquis, rue de la Bataille-Flandres-Dunkerque, CS 44229, 35042 Rennes cedex, France
| | - P Decazes
- Département de médecine nucléaire, center Henri-Becquerel, QuantIF EA 4108, université de Rouen, Rouen, France
| | - J Castelli
- Département de radiothérapie, centre Eugène Marquis, rue de la Bataille-Flandres-Dunkerque, CS 44229, 35042 Rennes cedex, France; CLCC Eugène Marquis, Inserm, LTSI-UMR 1099, université de Rennes, 35000 Rennes, France
| | - A Barateau
- Département de radiothérapie, centre Eugène Marquis, rue de la Bataille-Flandres-Dunkerque, CS 44229, 35042 Rennes cedex, France; CLCC Eugène Marquis, Inserm, LTSI-UMR 1099, université de Rennes, 35000 Rennes, France
| | - R Garcia
- Service de physique médicale, institut Sainte-Catherine, 84918 Avignon, France
| | - J Thariat
- Department of radiation oncology, centre François-Baclesse, 14000 Caen, France; Laboratoire de physique corpusculaire IN2P3/ENSICAEN-UMR6534-Unicaen-Normandie université, 14000 Caen, France; ARCHADE Research Community, 14000 Caen, France
| | - R de Crevoisier
- Département de radiothérapie, centre Eugène-Marquis, rue de la Bataille-Flandres-Dunkerque, CS 44229, 35042 Rennes cedex, France; CLCC Eugène Marquis, Inserm, LTSI-UMR 1099, université de Rennes, 35000 Rennes, France
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Xiang ZQ, Imani S, Hu Y, Ding RL, Pang HW, Chen Y, Fu SZ, Xie F, He WF, Wen QL. Comparison of different images in gross target volume delineating on VX2 nasopharyngeal transplantation tumor models. J Cancer 2020; 11:1104-1114. [PMID: 31956357 PMCID: PMC6959086 DOI: 10.7150/jca.36076] [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: 04/26/2019] [Accepted: 11/15/2019] [Indexed: 12/31/2022] Open
Abstract
Background: To determine the optimum conditions for diagnosis of nasopharyngeal carcinoma, we established VX2 rabbit model to delineate gross target volume (GTV) in different imaging methods. Methods: The orthotopic nasopharyngeal carcinoma (NPC) was established in sixteen New Zealand rabbits. After 7-days inoculation, the rabbits were examined by CT scanning and then sacrificed for pathological examination. To achieve the best delineation, different GTVs of CT, MRI, 18F-FDG PET/CT, and 18F-FLT PET/CT images were correlated with pathological GTV (GTVp). Results: We found 45% and 60% of the maximum standardized uptake value (SUVmax) as the optimal SUV threshold for the target volume of NPC in 18F-FDG PET/CT and 18F-FLT PET/CT images, respectively (GTVFDG45% and GTVFLT60%). Moreover, the GTVMRI and GTVCT were significantly higher than the GTVp (P ≤ 0.05), while the GTVFDG45% and especially GTVFLT60% were similar to the GTVp (R = 0.892 and R = 0.902, respectively; P ≤ 0.001). Conclusions: Notably, the results suggested that 18F-FLT PET/CT could reflect the tumor boundaries more accurately than 18F-FDG PET/CT, MRI and CT, which makes 18F-FLT PET-CT more advantageous for the clinical delineation of the target volume in NPC.
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Affiliation(s)
- Zhang-Qiang Xiang
- Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China (Z-QX, SI, YH, R-LD, H-WP, S-ZF, FX, W-FH, Q-LW)
| | - Saber Imani
- Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China (Z-QX, SI, YH, R-LD, H-WP, S-ZF, FX, W-FH, Q-LW)
| | - Yue Hu
- Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China (Z-QX, SI, YH, R-LD, H-WP, S-ZF, FX, W-FH, Q-LW)
| | - Rui-Lin Ding
- Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China (Z-QX, SI, YH, R-LD, H-WP, S-ZF, FX, W-FH, Q-LW)
| | - Hao-Wen Pang
- Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China (Z-QX, SI, YH, R-LD, H-WP, S-ZF, FX, W-FH, Q-LW)
| | - Yue Chen
- Department of Nuclear Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China (YC)
| | - Shao-Zhi Fu
- Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China (Z-QX, SI, YH, R-LD, H-WP, S-ZF, FX, W-FH, Q-LW)
| | - Fang Xie
- Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China (Z-QX, SI, YH, R-LD, H-WP, S-ZF, FX, W-FH, Q-LW)
| | - Wen-Feng He
- Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China (Z-QX, SI, YH, R-LD, H-WP, S-ZF, FX, W-FH, Q-LW)
| | - Qing-Lian Wen
- Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China (Z-QX, SI, YH, R-LD, H-WP, S-ZF, FX, W-FH, Q-LW)
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Sharma M, Pathak A, Shoukat A, Rameshbabu CS, Goyal S, Bansal R, Hamza R, Charaya K. EUS of the neck: A comprehensive anatomical reference for the staging of head and neck cancer (with videos). Endosc Ultrasound 2019; 8:227-234. [PMID: 31249169 PMCID: PMC6714487 DOI: 10.4103/2303-9027.260860] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
The use of EUS has application in the nodal staging of head and neck cancer. The technique and the anatomy of head and neck region using EUS have not been described. EUS from three stations in thoracic esophagus, cervical esophagus, and hypopharynx can allow imaging of head and neck. In this article we describe the normal structures from the three stations. The EUS imaging of head and neck can give relevant and additional information in malignancies of head and neck.
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Affiliation(s)
- Malay Sharma
- Department of Gastroenterology, Jaswant Rai Speciality Hospital, Muzaffarnagar, India
| | - Amit Pathak
- Department of Gastroenterology, Jaswant Rai Speciality Hospital, Muzaffarnagar, India
| | - Abid Shoukat
- Department of Gastroenterology, Jaswant Rai Speciality Hospital, Muzaffarnagar, India
| | | | - Sumit Goyal
- Department of Oncology, Jaypee Hospitals, Noida, Uttar Pradesh, India
| | | | - Rooby Hamza
- Department of Gastroenterology, MES Medical College, Malappuram, Kerala, India
| | - Kshitij Charaya
- Department of Gastroenterology, Consultant Otolaryngologist, Excel ENT, Meerut, India
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15
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Bahig H, Yuan Y, Mohamed AS, Brock KK, Ng SP, Wang J, Ding Y, Hutcheson K, McCulloch M, Balter PA, Lai SY, Al-Mamgani A, Sonke JJ, van der Heide UA, Nutting C, Li XA, Robbins J, Awan M, Karam I, Newbold K, Harrington K, Oelfke U, Bhide S, Philippens ME, Terhaard CH, McPartlin AJ, Blanchard P, Garden AS, Rosenthal DI, Gunn GB, Phan J, Cazoulat G, Aristophanous M, McSpadden KK, Garcia JA, van den Berg CA, Raaijmakers CP, Kerkmeijer L, Doornaert P, Blinde S, Frank SJ, Fuller CD. Magnetic Resonance-based Response Assessment and Dose Adaptation in Human Papilloma Virus Positive Tumors of the Oropharynx treated with Radiotherapy (MR-ADAPTOR): An R-IDEAL stage 2a-2b/Bayesian phase II trial. Clin Transl Radiat Oncol 2018; 13:19-23. [PMID: 30386824 PMCID: PMC6204434 DOI: 10.1016/j.ctro.2018.08.003] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2018] [Revised: 08/09/2018] [Accepted: 08/22/2018] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Current standard radiotherapy for oropharynx cancer (OPC) is associated with high rates of severe toxicities, shown to adversely impact patients' quality of life. Given excellent outcomes of human papilloma virus (HPV)-associated OPC and long-term survival of these typically young patients, treatment de-intensification aimed at improving survivorship while maintaining excellent disease control is now a central concern. The recent implementation of magnetic resonance image - guided radiotherapy (MRgRT) systems allows for individual tumor response assessment during treatment and offers possibility of personalized dose-reduction. In this 2-stage Bayesian phase II study, we propose to examine weekly radiotherapy dose-adaptation based on magnetic resonance imaging (MRI) evaluated tumor response. Individual patient's plan will be designed to optimize dose reduction to organs at risk and minimize locoregional failure probability based on serial MRI during RT. Our primary aim is to assess the non-inferiority of MRgRT dose adaptation for patients with low risk HPV-associated OPC compared to historical control, as measured by Bayesian posterior probability of locoregional control (LRC). METHODS Patients with T1-2 N0-2b (as per AJCC 7th Edition) HPV-positive OPC, with lymph node <3 cm and <10 pack-year smoking history planned for curative radiotherapy alone to a dose of 70 Gy in 33 fractions will be eligible. All patients will undergo pre-treatment MRI and at least weekly intra-treatment MRI. Patients undergoing MRgRT will have weekly adaptation of high dose planning target volume based on gross tumor volume response. The stage 1 of this study will enroll 15 patients to MRgRT dose adaptation. If LRC at 6 months with MRgRT dose adaptation is found sufficiently safe as per the Bayesian model, stage 2 of the protocol will expand enrollment to an additional 60 patients, randomized to either MRgRT or standard IMRT. DISCUSSION Multiple methods for safe treatment de-escalation in patients with HPV-positive OPC are currently being studied. By leveraging the ability of advanced MRI techniques to visualize tumor and soft tissues through the course of treatment, this protocol proposes a workflow for safe personalized radiation dose-reduction in good responders with radiosensitive tumors, while ensuring tumoricidal dose to more radioresistant tumors. MRgRT dose adaptation could translate in reduced long term radiation toxicities and improved survivorship while maintaining excellent LRC outcomes in favorable OPC. TRIAL REGISTRATION ClinicalTrials.gov ID: NCT03224000; Registration date: 07/21/2017.
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Affiliation(s)
- Houda Bahig
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Centre Hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
| | - Ying Yuan
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Kristy K. Brock
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sweet Ping Ng
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jihong Wang
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yao Ding
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Kate Hutcheson
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Molly McCulloch
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Peter A. Balter
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Stephen Y. Lai
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | | | | | | | - X. Allen Li
- Medical College of Wisconsin, Milwaukee, WI, USA
| | | | | | - Irene Karam
- Sunnybrook Health Sciences Centre, Toronto, Canada
| | | | | | - Uwe Oelfke
- Institute of Cancer Research, London, UK
| | | | | | | | | | | | - Adam S. Garden
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Gary B. Gunn
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jack Phan
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | | | | | - John A. Garcia
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | | | | | | | - Sanne Blinde
- Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | - Steven J. Frank
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
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Hamming-Vrieze O, Navran A, Al-Mamgani A, Vogel WV. Biological PET-guided adaptive radiotherapy for dose escalation in head and neck cancer: a systematic review. THE QUARTERLY JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING : OFFICIAL PUBLICATION OF THE ITALIAN ASSOCIATION OF NUCLEAR MEDICINE (AIMN) [AND] THE INTERNATIONAL ASSOCIATION OF RADIOPHARMACOLOGY (IAR), [AND] SECTION OF THE SOCIETY OF RADIOPHARMACEUTICAL CHEMISTRY AND BIOLOGY 2018; 62:349-368. [DOI: 10.23736/s1824-4785.18.03087-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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Mohamed AS, Bahig H, Aristophanous M, Blanchard P, Kamal M, Ding Y, Cardenas CE, Brock KK, Lai SY, Hutcheson KA, Phan J, Wang J, Ibbott G, Gabr RE, Narayana PA, Garden AS, Rosenthal DI, Gunn GB, Fuller CD. Prospective in silico study of the feasibility and dosimetric advantages of MRI-guided dose adaptation for human papillomavirus positive oropharyngeal cancer patients compared with standard IMRT. Clin Transl Radiat Oncol 2018; 11:11-18. [PMID: 30014042 PMCID: PMC6019867 DOI: 10.1016/j.ctro.2018.04.005] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2018] [Revised: 04/17/2018] [Accepted: 04/30/2018] [Indexed: 11/18/2022] Open
Abstract
PURPOSE We aim to determine the feasibility and dosimetric benefits of a novel MRI-guided IMRT dose-adaption strategy for human papillomavirus positive (HPV+) oropharyngeal squamous cell carcinoma (OPC). MATERIALS/METHODS Patients with locally advanced HPV+ OPC underwent pre-treatment and in-treatment MRIs every two weeks using RT immobilization setup. For each patient, two IMRT plans were created (i.e. standard and adaptive). The prescription dose for the standard plans was 2.12 Gy/fx for 33 fractions to the initial PTV. For adaptive plans, a new PTVadaptive was generated based on serial MRIs in case of detectable tumor shrinkage. Prescription dose to PTVadaptive was 2.12 Gy/fx to allow for maximum dose to the residual disease. Any previously involved volumes received minimally a floor dose of 50.16 Gy. Uninvolved elective nodal volumes were prescribed 50.16 Gy in 1.52 Gy/fx. Dosimetric parameters of organs at risk (OARs) were recorded for standard vs. adaptive plans. Normal tissue complication probability (NTCP) for toxicity endpoints was calculated using literature-derived multivariate logistic regression models. RESULTS Five patients were included in this pilot study, 3 men and 2 women. Median age was 58 years (range 45-69). Three tumors originated at the tonsillar fossa and two at the base of tongue. The average dose to 95% of initial PTV volume was 70.7 Gy (SD,0.3) for standard plans vs. 58.5 Gy (SD,2.0) for adaptive plans. The majority of OARs showed decrease in dosimetric parameters using adaptive plans vs. standard plans, particularly swallowing related structures. The average reduction in the probability of developing dysphagia ≥ grade2, feeding tube persistence at 6-month post-treatment and hypothyroidism at 1-year post-treatment was 11%, 4%, and 5%, respectively. The probability of xerostomia at 6-month was only reduced by 1% for adaptive plans vs. standard IMRT. CONCLUSION These in silico results showed that the proposed MRI-guided adaptive approach is technically feasible and advantageous in reducing dose to OARs, especially swallowing musculature.
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Affiliation(s)
- Abdallah S.R. Mohamed
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Clinical Oncology and Nuclear Medicine, Faculty of Medicine, University of Alexandria, Alexandria, Egypt
- MD Anderson Cancer Center/UT Health Graduate School of Biomedical Sciences, Houston, TX, USA
| | - Houda Bahig
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Radiation Oncology, Centre hospitalier de l'Université de Montréal (CHUM), Canada
| | - Michalis Aristophanous
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Pierre Blanchard
- Department of Radiation Oncology, Institut de Cancérologie Gustave Roussy, Paris, France
| | - Mona Kamal
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Clinical Oncology and Nuclear Medicine, Faculty of Medicine, University of Ain Shams, Cairo, Egypt
| | - Yao Ding
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Carlos E. Cardenas
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Kristy K. Brock
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Stephen Y. Lai
- Department of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Katherine A. Hutcheson
- Department of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jack Phan
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jihong Wang
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Geoffrey Ibbott
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Refaat E. Gabr
- Department of Diagnostic & Interventional Imaging, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Ponnada A. Narayana
- Department of Diagnostic & Interventional Imaging, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Adam S. Garden
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - David I. Rosenthal
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - G. Brandon Gunn
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Clifton D. Fuller
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
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Molecular Imaging-Guided Radiotherapy for the Treatment of Head-and-Neck Squamous Cell Carcinoma: Does it Fulfill the Promises? Semin Radiat Oncol 2018; 28:35-45. [PMID: 29173754 DOI: 10.1016/j.semradonc.2017.08.003] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
With the routine use of intensity modulated radiation therapy for the treatment of head-and-neck squamous cell carcinoma allowing highly conformed dose distribution, there is an increasing need for refining both the selection and the delineation of gross tumor volumes (GTV). In this framework, molecular imaging with positron emission tomography and magnetic resonance imaging offers the opportunity to improve diagnostic accuracy and to integrate tumor biology mainly related to the assessment of tumor cell density, tumor hypoxia, and tumor proliferation into the treatment planning equation. Such integration, however, requires a deep comprehension of the technical and methodological issues related to image acquisition, reconstruction, and segmentation. Until now, molecular imaging has had a limited value for the selection of nodal GTV, but there are increasing evidences that both FDG positron emission tomography and diffusion-weighted magnetic resonance imaging has a potential value for the delineation of the primary tumor GTV, effecting on dose distribution. With the apprehension of the heterogeneity in tumor biology through molecular imaging, growing evidences have been collected over the years to support the concept of dose escalation/dose redistribution using a planned heterogeneous dose prescription, the so-called "dose painting" approach. Validation trials are ongoing, and in the coming years, one may expect to position the dose painting approach in the armamentarium for the treatment of patients with head-and-neck squamous cell carcinoma.
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Wong KH, Panek R, Dunlop A, Mcquaid D, Riddell A, Welsh LC, Murray I, Koh DM, Leach MO, Bhide SA, Nutting CM, Oyen WJ, Harrington KJ, Newbold KL. Changes in multimodality functional imaging parameters early during chemoradiation predict treatment response in patients with locally advanced head and neck cancer. Eur J Nucl Med Mol Imaging 2018; 45:759-767. [PMID: 29164301 PMCID: PMC5978912 DOI: 10.1007/s00259-017-3890-2] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2017] [Accepted: 11/13/2017] [Indexed: 12/23/2022]
Abstract
OBJECTIVE To assess the optimal timing and predictive value of early intra-treatment changes in multimodality functional and molecular imaging (FMI) parameters as biomarkers for clinical remission in patients receiving chemoradiation for head and neck squamous cell carcinoma (HNSCC). METHODS Thirty-five patients with stage III-IVb (AJCC 7th edition) HNSCC prospectively underwent 18F-FDG-PET/CT, and diffusion-weighted (DW), dynamic contrast-enhanced (DCE) and susceptibility-weighted MRI at baseline, week 1 and week 2 of chemoradiation. Patients with evidence of persistent or recurrent disease during follow-up were classed as non-responders. Changes in FMI parameters at week 1 and week 2 were compared between responders and non-responders with the Mann-Whitney U test. The significance threshold was set at a p value of <0.05. RESULTS There were 27 responders and 8 non-responders. Responders showed a greater reduction in PET-derived tumor total lesion glycolysis (TLG40%; p = 0.007) and maximum standardized uptake value (SUVmax; p = 0.034) after week 1 than non-responders but these differences were absent by week 2. In contrast, it was not until week 2 that MRI-derived parameters were able to discriminate between the two groups: larger fractional increases in primary tumor apparent diffusion coefficient (ADC; p < 0.001), volume transfer constant (Ktrans; p = 0.012) and interstitial space volume fraction (Ve; p = 0.047) were observed in responders versus non-responders. ADC was the most powerful predictor (∆ >17%, AUC 0.937). CONCLUSION Early intra-treatment changes in FDG-PET, DW and DCE MRI-derived parameters are predictive of ultimate response to chemoradiation in HNSCC. However, the optimal timing for assessment with FDG-PET parameters (week 1) differed from MRI parameters (week 2). This highlighted the importance of scanning time points for the design of FMI risk-stratified interventional studies.
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Affiliation(s)
- Kee H Wong
- Head and Neck Unit, The Royal Marsden NHS Foundation Trust, Downs Road, Sutton, SM2 5PT, UK.
- Radiotherapy and Imaging Division, The Institute of Cancer Research, London, UK.
| | - Rafal Panek
- Radiotherapy and Imaging Division, The Institute of Cancer Research, London, UK
| | - Alex Dunlop
- Head and Neck Unit, The Royal Marsden NHS Foundation Trust, Downs Road, Sutton, SM2 5PT, UK
- Radiotherapy and Imaging Division, The Institute of Cancer Research, London, UK
| | - Dualta Mcquaid
- Head and Neck Unit, The Royal Marsden NHS Foundation Trust, Downs Road, Sutton, SM2 5PT, UK
| | - Angela Riddell
- Clinical Radiology, The Royal Marsden NHS Foundation Trust, Sutton, UK
| | - Liam C Welsh
- Head and Neck Unit, The Royal Marsden NHS Foundation Trust, Downs Road, Sutton, SM2 5PT, UK
- Radiotherapy and Imaging Division, The Institute of Cancer Research, London, UK
| | - Iain Murray
- Nuclear Medicine, The Royal Marsden NHS Foundation Trust, Sutton, UK
| | - Dow-Mu Koh
- Radiotherapy and Imaging Division, The Institute of Cancer Research, London, UK
- Clinical Radiology, The Royal Marsden NHS Foundation Trust, Sutton, UK
| | - Martin O Leach
- Radiotherapy and Imaging Division, The Institute of Cancer Research, London, UK
- CRUK Cancer Imaging Centre, The Institute of Cancer Research and the Royal Marsden NHS Foundation Trust, London, UK
| | - Shreerang A Bhide
- Head and Neck Unit, The Royal Marsden NHS Foundation Trust, Downs Road, Sutton, SM2 5PT, UK
- Radiotherapy and Imaging Division, The Institute of Cancer Research, London, UK
| | - Christopher M Nutting
- Head and Neck Unit, The Royal Marsden NHS Foundation Trust, Downs Road, Sutton, SM2 5PT, UK
- Radiotherapy and Imaging Division, The Institute of Cancer Research, London, UK
| | - Wim J Oyen
- Radiotherapy and Imaging Division, The Institute of Cancer Research, London, UK
- Nuclear Medicine, The Royal Marsden NHS Foundation Trust, Sutton, UK
| | - Kevin J Harrington
- Head and Neck Unit, The Royal Marsden NHS Foundation Trust, Downs Road, Sutton, SM2 5PT, UK
- Radiotherapy and Imaging Division, The Institute of Cancer Research, London, UK
| | - Kate L Newbold
- Head and Neck Unit, The Royal Marsden NHS Foundation Trust, Downs Road, Sutton, SM2 5PT, UK
- Radiotherapy and Imaging Division, The Institute of Cancer Research, London, UK
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Schakel T, Peltenburg B, Dankbaar JW, Cardenas CE, Aristophanous M, Terhaard CH, Hoogduin JM, Philippens ME. Evaluation of diffusion weighted imaging for tumor delineation in head-and-neck radiotherapy by comparison with automatically segmented 18F-fluorodeoxyglucose positron emission tomography. PHYSICS & IMAGING IN RADIATION ONCOLOGY 2018; 5:13-18. [PMID: 33458363 PMCID: PMC7807628 DOI: 10.1016/j.phro.2017.12.004] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/15/2017] [Revised: 12/08/2017] [Accepted: 12/21/2017] [Indexed: 12/23/2022]
Abstract
Background and purpose Diffusion weighted (DW) MRI may facilitate target volume delineation for head-and-neck (HN) radiation treatment planning. In this study we assessed the use of a dedicated, geometrically accurate, DW-MRI sequence for target volume delineation. The delineations were compared with semi-automatic segmentations on 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET) images and evaluated for interobserver variation. Methods and materials Fifteen HN cancer patients underwent both DW-MRI and FDG-PET for RT treatment planning. Target delineation on DW-MRI was performed by three observers, while for PET a semi-automatic segmentation was performed using a Gaussian mixture model. For interobserver variation and intermodality variation, volumes, overlap metrics and Hausdorff distances were calculated from the delineations. Results The median volumes delineated by the three observers on DW-MRI were 10.8, 10.5 and 9.0 cm3 respectively, and was larger than the median PET volume (8.0 cm3). The median conformity index of DW-MRI for interobserver variation was 0.73 (range 0.38–0.80). Compared to PET, the delineations on DW-MRI by the three observers showed a median dice similarity coefficient of 0.71, 0.69 and 0.72 respectively. The mean Hausdorff distance was small with median (range) distances between PET and DW-MRI of 2.3 (1.5–6.8), 2.5 (1.6–6.9) and 2.0 (1.35–7.6) mm respectively. Over all patients, the median 95th percentile distances were 6.0 (3.0–13.4), 6.6 (4.0–24.0) and 5.3 (3.4–26.0) mm. Conclusion Using a dedicated DW-MRI sequence, target volumes could be defined with good interobserver agreement and a good overlap with PET. Target volume delineation using DW-MRI is promising in head-and-neck radiotherapy, combined with other modalities, it can lead to more precise target volume delineation.
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Affiliation(s)
- Tim Schakel
- Department of Radiotherapy, University Medical Center, Utrecht, The Netherlands
- Corresponding author at: Department of Radiotherapy, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands.
| | - Boris Peltenburg
- Department of Radiotherapy, University Medical Center, Utrecht, The Netherlands
| | - Jan-Willem Dankbaar
- Department of Radiology, University Medical Center, Utrecht, The Netherlands
| | - Carlos E. Cardenas
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, TX, USA
| | - Michalis Aristophanous
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, TX, USA
| | - Chris H.J. Terhaard
- Department of Radiotherapy, University Medical Center, Utrecht, The Netherlands
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Nix MG, Prestwich RJD, Speight R. Automated, reference-free local error assessment of multimodal deformable image registration for radiotherapy in the head and neck. Radiother Oncol 2017; 125:478-484. [PMID: 29100697 DOI: 10.1016/j.radonc.2017.10.004] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2017] [Revised: 09/25/2017] [Accepted: 10/02/2017] [Indexed: 11/15/2022]
Abstract
BACKGROUND Head and neck MR-CT deformable image registration (DIR) for radiotherapy planning is hindered by the lack of both ground-truth and per-patient accuracy assessment methods. This study assesses novel post-registration reference-free error assessment algorithms, based on local rigid re-registration of native and pseudomodality images. METHODS Head and neck MR obtained in and out of the treatment position underwent DIR to planning CT. Block-wise mutual information (b-MI) and pseudomodality mutual information (b-pmMI) algorithms were validated against applied rotations and translations. Inherent registration error detection was compared across 14 patient datasets. RESULTS Using radiotherapy position MR-CT DIR, quantitative comparison of applied rotations and translations revealed that errors between 1 and 4 mm were accurately determined by both algorithms. Using diagnostic position MR-CT DIR, translations of up to 5 mm were accurately detected within the gross tumour volume by both methods. In 14 patient datasets, b-MI and b-pmMI detected similar errors with improved stability in regions of low contrast or CT artefact and a 10-fold speedup for b-pmMI. CONCLUSIONS b-MI and b-pmMI algorithms have been validated as providing accurate reference-free quantitative assessment of DIR accuracy on a per-patient basis. b-pmMI is faster and more robust in the presence of modality-specific information.
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Affiliation(s)
- Michael G Nix
- Department of Medical Physics and Engineering, Leeds Teaching Hospitals NHS Trust, UK.
| | | | - Richard Speight
- Department of Medical Physics and Engineering, Leeds Teaching Hospitals NHS Trust, UK
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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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State of the art MRI in head and neck cancer. Clin Radiol 2017; 73:45-59. [PMID: 28655406 DOI: 10.1016/j.crad.2017.05.020] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2017] [Accepted: 05/26/2017] [Indexed: 12/17/2022]
Abstract
Head and neck cancer affects more than 11,000 new patients per year in the UK1 and imaging has an important role in the diagnosis, treatment planning, and assessment, and post-treatment surveillance of these patients. The anatomical detail produced by magnetic resonance imaging (MRI) is ideally suited to staging and follow-up of primary tumours and cervical nodal metastases in the head and neck; however, anatomical images have limitations in cancer imaging and so increasingly functional-based MRI techniques, which provide molecular, metabolic, and physiological information, are being incorporated into MRI protocols. This article reviews the state of the art of these functional MRI techniques with emphasis on those that are most relevant to the current management of patients with head and neck cancer.
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Zhang X, Fu Z, Gong G, Wei H, Duan J, Chen Z, Chen X, Wang R, Yin Y. Implementation of diffusion-weighted magnetic resonance imaging in target delineation of central lung cancer accompanied with atelectasis in precision radiotherapy. Oncol Lett 2017; 14:2677-2682. [PMID: 28927030 PMCID: PMC5588085 DOI: 10.3892/ol.2017.6479] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2015] [Accepted: 04/21/2017] [Indexed: 12/28/2022] Open
Abstract
Radiotherapy, particularly the target delineation of cancer based on scanned images, plays a key role in the planning of cancer treatment. Recently, diffusion-weighted magnetic resonance imaging (DW-MRI) has emerged as a prospective superior procedure compared with intensified computed tomography (CT) and positron emission tomography (PET) in the target delineation of cancer. However, the implication of DW-MRI in lung cancer, the leading cause of cancer-associated mortality worldwide, has not been extensively evaluated. In the present study, the gross target volumes of lung cancer masses delineated using the DW-MRI, CT and PET procedures were compared in a pairwise manner in a group of 27 lung cancer patients accompanied with atelectasis of various levels. The data showed that compared with CT and PET procedures, DW-MRI has a more precise delineation of lung cancer while exhibiting higher reproducibility. Together with the fact that it is non-invasive and cost-effective, these data demonstrate the great application potential of the DW-MRI procedure in cancer precision radiotherapy.
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Affiliation(s)
- Xinli Zhang
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong University, Jinan, Shandong 250117, P.R. China.,Department of Medical Oncology, Tai'an City Central Hospital, Tai'an, Shandong 271000, P.R. China
| | - Zheng Fu
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong University, Jinan, Shandong 250117, P.R. China
| | - Guanzhong Gong
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong University, Jinan, Shandong 250117, P.R. China
| | - Hong Wei
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong University, Jinan, Shandong 250117, P.R. China
| | - Jinghao Duan
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong University, Jinan, Shandong 250117, P.R. China
| | - Zhaoqiu Chen
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong University, Jinan, Shandong 250117, P.R. China
| | - Xiangming Chen
- Department of Medical Oncology, Tai'an City Central Hospital, Tai'an, Shandong 271000, P.R. China
| | - Ruozheng Wang
- Department of Radiation Oncology, Affiliated Tumor Hospital of Xinjiang Medical University, Urumqi, Xinjiang 830011, P.R. China
| | - Yong Yin
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong University, Jinan, Shandong 250117, P.R. China
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Squamous Cell Carcinoma of the Lip—A Review of Squamous Cell Carcinogenesis of the Mucosal and Cutaneous Junction. Dermatol Surg 2017; 43:494-506. [DOI: 10.1097/dss.0000000000001020] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
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Roy S, Cheong DLH, Yan J, Totman JJ, Ng T, Khor LK, Goh J, Tham IWK. Serial FDG-PET/MR Imaging for Head and Neck Cancer Radiation Therapy: A Pilot Study. IEEE TRANSACTIONS ON RADIATION AND PLASMA MEDICAL SCIENCES 2017. [DOI: 10.1109/tns.2016.2616884] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Aramburu Núñez D, Lopez Medina A, Mera Iglesias M, Salvador Gomez F, Dave A, Hatzoglou V, Paudyal R, Calzado A, Deasy JO, Shukla-Dave A, Muñoz VM. Multimodality functional imaging using DW-MRI and 18F-FDG-PET/CT during radiation therapy for human papillomavirus negative head and neck squamous cell carcinoma: Meixoeiro Hospital of Vigo Experience. World J Radiol 2017; 9:17-26. [PMID: 28144403 PMCID: PMC5241537 DOI: 10.4329/wjr.v9.i1.17] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2016] [Revised: 10/29/2016] [Accepted: 11/22/2016] [Indexed: 02/06/2023] Open
Abstract
AIM To noninvasively investigate tumor cellularity measured using diffusion-weighted magnetic resonance imaging (DW-MRI) and glucose metabolism measured by 18F-labeled fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG-PET/CT) during radiation therapy (RT) for human papillomavirus negative (HPV-) head and neck squamous cell carcinoma (HNSCC).
METHODS In this prospective study, 6 HPV- HNSCC patients underwent a total of 34 multimodality imaging examinations (DW-MRI at 1.5 T Philips MRI scanner [(n = 24) pre-, during- (2-3 wk), and post-treatment (Tx), and 18F-FDG PET/CT pre- and post-Tx (n = 10)]. All patients received RT. Monoexponential modeling of the DW-MRI data yielded the imaging metric apparent diffusion coefficient (ADC) and the mean of standardized uptake value (SUV) was measured from 18F-FDG PET uptake. All patients had a clinical follow-up as the standard of care and survival status was documented at 1 year.
RESULTS There was a strong negative correlation between the mean of pretreatment ADC (ρ = -0.67, P = 0.01) and the pretreatment 18F-FDG PET SUV. The percentage (%) change in delta (∆) ADC for primary tumors and neck nodal metastases between pre- and Wk2-3 Tx were as follows: 75.4% and 61.6%, respectively, for the patient with no evidence of disease, 27.5% and 32.7%, respectively, for those patients who were alive with disease, and 26.9% and 7.31%, respectively, for those who were dead with disease.
CONCLUSION These results are preliminary in nature and are indicative, and not definitive, trends rendered by the imaging metrics due to the small sample size of HPV- HNSCC patients in a Meixoeiro Hospital of Vigo Experience.
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King AD, Thoeny HC. Functional MRI for the prediction of treatment response in head and neck squamous cell carcinoma: potential and limitations. Cancer Imaging 2016; 16:23. [PMID: 27542718 PMCID: PMC4992206 DOI: 10.1186/s40644-016-0080-6] [Citation(s) in RCA: 73] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2016] [Accepted: 08/02/2016] [Indexed: 12/27/2022] Open
Abstract
Pre-treatment or early intra-treatment prediction of patients with head and neck squamous cell carcinomas (HNSCC) who are likely to have tumours that are resistant to chemoradiotherapy (CRT) would enable treatment regimens to be changed at an early time point, or allow patients at risk of residual disease to be targeted for more intensive post-treatment investigation. Research into the potential advantages of using functional-based magnetic resonance imaging (MRI) sequences before or during cancer treatments to predict treatment response has been ongoing for several years. In regard to HNSCC, the reported results from functional MRI research are promising but they have yet to be transferred to the clinical domain. This article will review the functional MRI literature in HNSCC to determine the current status of the research and try to identify areas that are close to application in clinical practice. This review will focus on diffusion-weighted imaging (DWI) and dynamic contrast-enhanced MRI (DCE–MRI) and briefly include proton magnetic resonance spectroscopy (1H-MRS)and blood oxygen level dependent (BOLD) MRI.
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Affiliation(s)
- Ann D King
- Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Prince of Wales Hospital, 30-32 Ngan Shing Street, Shatin, New Territories, Hong Kong S.A.R. China.
| | - Harriet C Thoeny
- Department of Radiology, Neuroradiology and Nuclear Medicine, Inselspital, University of Bern, Freiburgstrasse 10, 3010, Bern, Switzerland
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Wardman K, Prestwich RJD, Gooding MJ, Speight RJ. The feasibility of atlas-based automatic segmentation of MRI for H&N radiotherapy planning. J Appl Clin Med Phys 2016; 17:146-154. [PMID: 27455480 PMCID: PMC5690045 DOI: 10.1120/jacmp.v17i4.6051] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2015] [Revised: 03/02/2016] [Accepted: 02/25/2016] [Indexed: 11/23/2022] Open
Abstract
Atlas‐based autosegmentation is an established tool for segmenting structures for CT‐planned head and neck radiotherapy. MRI is being increasingly integrated into the planning process. The aim of this study is to assess the feasibility of MRI‐based, atlas‐based autosegmentation for organs at risk (OAR) and lymph node levels, and to compare the segmentation accuracy with CT‐based autosegmentation. Fourteen patients with locally advanced head and neck cancer in a prospective imaging study underwent a T1‐weighted MRI and a PET‐CT (with dedicated contrast‐enhanced CT) in an immobilization mask. Organs at risk (orbits, parotids, brainstem, and spinal cord) and the left level II lymph node region were manually delineated on the CT and MRI separately. A ‘leave one out’ approach was used to automatically segment structures onto the remaining images separately for CT and MRI. Contour comparison was performed using multiple positional metrics: Dice index, mean distance to conformity (MDC), sensitivity index (Se Idx), and inclusion index (Incl Idx). Automatic segmentation using MRI of orbits, parotids, brainstem, and lymph node level was acceptable with a DICE coefficient of 0.73−0.91, MDC 2.0−5.1 mm, Se Idx 0.64−0.93, Incl Idx 0.76−0.93. Segmentation of the spinal cord was poor (Dice coefficient 0.37). The process of automatic segmentation was significantly better on MRI compared to CT for orbits, parotid glands, brainstem, and left lymph node level II by multiple positional metrics; spinal cord segmentation based on MRI was inferior compared with CT. Accurate atlas‐based automatic segmentation of OAR and lymph node levels is feasible using T1‐MRI; segmentation of the spinal cord was found to be poor. Comparison with CT‐based automatic segmentation suggests that the process is equally as, or more accurate, using MRI. These results support further translation of MRI‐based segmentation methodology into clinical practice. PACS number(s): 87.55.de
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Sharma M, Pathak A, Shoukat A, Somani P. Imaging of spaces of neck and mediastinum by endoscopic ultrasound. Lung India 2016; 33:292-305. [PMID: 27185994 PMCID: PMC4857566 DOI: 10.4103/0970-2113.180866] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
Endoscopic ultrasound (EUS) of the mediastinum was pioneered by gastroenterologists, and it was taken up by pulmonologists when the smaller-diameter endobronchial ultrasound (EBUS) scope was designed after a few years. The pulmonologists’ approach remained largely confined to entry from the trachea, but they soon realized that the esophagus was an alternative route of entry by the EBUS scope. The new generations of interventionists are facing the challenge of learning two techniques (EUS and EBUS) from two routes (esophagus and trachea). The International Association for the Study of Lung Cancer (IASLC) proposed a classification of mediastinal lymph nodes at different stations that lie within the boundaries of specific spaces. These interventionists need clear definitions of landmarks and clear techniques to identify the spaces. There are enough descriptions of spaces of the neck and the mediastinum in the literature, yet the topic mentioned above has never been discussed separately. The anatomical structures, landmarks, and boundaries of spaces will be important to interventionists in the near future during performances of endosonography. This article combines the baseline anatomy of the spaces with the actual imaging during EUS.
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Affiliation(s)
- Malay Sharma
- Department of Gastroenterology, Jaswant Rai Speciality Hospital, Meerut, Uttar Pradesh, India
| | - Amit Pathak
- Department of Gastroenterology, Jaswant Rai Speciality Hospital, Meerut, Uttar Pradesh, India
| | - Abid Shoukat
- Department of Gastroenterology, Jaswant Rai Speciality Hospital, Meerut, Uttar Pradesh, India
| | - Piyush Somani
- Department of Gastroenterology, Jaswant Rai Speciality Hospital, Meerut, Uttar Pradesh, India
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Potential Role of PET/MRI for Imaging Metastatic Lymph Nodes in Head and Neck Cancer. AJR Am J Roentgenol 2016; 207:248-56. [PMID: 27163282 DOI: 10.2214/ajr.16.16265] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
OBJECTIVE This article explores recent developments in PET and MRI, separately or combined, for assessing metastatic lymph nodes in patients with head and neck cancer. CONCLUSION The synergistic role of PET and MRI for imaging metastatic lymph nodes has not been fully explored. To facilitate the understanding of the areas that need further investigation, we discuss potential mechanisms and evidence reported so far, as well as future directions and challenges for continued development and clinical research.
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Analysis of pairwise correlations in multi-parametric PET/MR data for biological tumor characterization and treatment individualization strategies. Eur J Nucl Med Mol Imaging 2016; 43:1199-208. [PMID: 26872789 PMCID: PMC4869757 DOI: 10.1007/s00259-016-3307-7] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2015] [Accepted: 01/05/2016] [Indexed: 12/31/2022]
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Prestwich R, Vaidyanathan S, Scarsbrook A. Functional Imaging Biomarkers: Potential to Guide an Individualised Approach to Radiotherapy. Clin Oncol (R Coll Radiol) 2015; 27:588-600. [DOI: 10.1016/j.clon.2015.06.008] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2015] [Revised: 06/02/2015] [Accepted: 06/08/2015] [Indexed: 02/03/2023]
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