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Sambasivan K, Tyrrell WE, Farooq R, Mynerich J, Edwards RS, Tanc M, Urbano TG, Witney TH. [ 18F]FSPG-PET provides an early marker of radiotherapy response in head and neck squamous cell cancer. NPJ IMAGING 2024; 2:28. [PMID: 39132311 PMCID: PMC11315666 DOI: 10.1038/s44303-024-00038-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/26/2024] [Accepted: 07/31/2024] [Indexed: 08/13/2024]
Abstract
The ability to image early treatment response to radiotherapy in head and neck squamous cell carcinoma (HNSCC) will enable the identification of radioresistant tumor volumes suitable for treatment intensification. Here, we propose the system xc - radiotracer (4S)-4-(3-[18F]fluoropropyl)-L-glutamate ([18F]FSPG) as a non-invasive method to monitor radiation response in HNSCC. We assessed temporal changes in cell death, antioxidant status, and [18F]FSPG retention following a single dose of 10 Gy irradiation in FaDU HNSCC cells. Next, using a fractionated course of radiotherapy, we assessed tumor volume changes and performed [18F]FSPG-PET imaging in FaDU-bearing mouse xenografts, followed by ex vivo response assessment. In cells, 10 Gy irradiation reduced [18F]FSPG retention, coinciding with the induction of apoptosis and the production of reactive oxygen species. In vivo, [18F]FSPG tumor retention was halved seven days after the start of treatment, which preceded radiotherapy-induced tumor shrinkage, thereby confirming [18F]FSPG-PET as an early and sensitive marker of radiation response.
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Affiliation(s)
- Khrishanthne Sambasivan
- 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
| | - Will E. Tyrrell
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK
| | - Rizwan Farooq
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK
| | - Jenasee Mynerich
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK
| | - Richard S. Edwards
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK
| | - Muhammet Tanc
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK
| | - Teresa Guerrero Urbano
- Department of Clinical Oncology, Guy’s and St Thomas’ NHS Foundation Trust, London, UK
- Faculty of Dentistry, Oral & Craniofacial Sciences and School of Cancer & Pharmaceutical Sciences, King’s College London, London, UK
| | - Timothy H. Witney
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK
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2
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de Leeuw ALMP, Giralt J, Tao Y, Benavente S, France Nguyen TV, Hoebers FJP, Hoeben A, Terhaard CHJ, Wai Lee L, Friesland S, Steenbakkers RJHM, Tans L, Heukelom J, Kayembe MT, van Kranen SR, Bartelink H, Rasch CRN, Sonke JJ, Hamming-Vrieze O. A multicentric randomized controlled phase III trial of adaptive and 18F-FDG-PET-guided dose-redistribution in locally advanced head and neck squamous cell carcinoma (ARTFORCE). Radiother Oncol 2024; 196:110281. [PMID: 38636708 DOI: 10.1016/j.radonc.2024.110281] [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: 10/04/2023] [Revised: 03/16/2024] [Accepted: 04/11/2024] [Indexed: 04/20/2024]
Abstract
BACKGROUND AND PURPOSE This multicenter randomized phase III trial evaluated whether locoregional control of patients with LAHNSCC could be improved by fluorodeoxyglucose-positron emission tomography (FDG-PET)-guided dose-escalation while minimizing the risk of increasing toxicity using a dose-redistribution and scheduled adaptation strategy. MATERIALS AND METHODS Patients with T3-4-N0-3-M0 LAHNSCC were randomly assigned (1:1) to either receive a dose distribution ranging from 64-84 Gy/35 fractions with adaptation at the 10thfraction (rRT) or conventional 70 Gy/35 fractions (cRT). Both arms received concurrent three-cycle 100 mg/m2cisplatin. Primary endpoints were 2-year locoregional control (LRC) and toxicity. Primary analysis was based on the intention-to-treat principle. RESULTS Due to slow accrual, the study was prematurely closed (at 84 %) after randomizing 221 eligible patients between 2012 and 2019 to receive rRT (N = 109) or cRT (N = 112). The 2-year LRC estimate difference of 81 % (95 %CI 74-89 %) vs. 74 % (66-83 %) in the rRT and cRT arm, respectively, was not found statistically significant (HR 0.75, 95 %CI 0.43-1.31,P=.31). Toxicity prevalence and incidence rates were similar between trial arms, with exception for a significant increased grade ≥ 3 pharyngolaryngeal stenoses incidence rate in the rRT arm (0 versus 4 %,P=.05). In post-hoc subgroup analyses, rRT improved LRC for patients with N0-1 disease (HR 0.21, 95 %CI 0.05-0.93) and oropharyngeal cancer (0.31, 0.10-0.95), regardless of HPV. CONCLUSION Adaptive and dose redistributed radiotherapy enabled dose-escalation with similar toxicity rates compared to conventional radiotherapy. While FDG-PET-guided dose-escalation did overall not lead to significant tumor control or survival improvements, post-hoc results showed improved locoregional control for patients with N0-1 disease or oropharyngeal cancer treated with rRT.
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Affiliation(s)
- Anna Liza M P de Leeuw
- Department of Radiation Oncology, The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands.
| | - Jordi Giralt
- Department of Radiation Oncology, Hospital General Vall d'Hebron, Barcelona, Spain; Vall d'Hebron Institute of Oncology, Barcelona, Spain
| | - Yungan Tao
- Department of Radiation Oncology, Institut Gustave Roussy, Villejuif, France
| | - Sergi Benavente
- Department of Radiation Oncology, Hospital General Vall d'Hebron, Barcelona, Spain; Vall d'Hebron Institute of Oncology, Barcelona, Spain
| | | | - Frank J P Hoebers
- Department of Radiation Oncology (Maastro), GROW School for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Ann Hoeben
- Division of Medical Oncology, Department of Internal Medicine, GROW-School of Oncology and Developmental Biology Maastricht University Medical Center+, Maastricht, The Netherlands
| | - Chris H J Terhaard
- Department of Radiation Oncology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Lip Wai Lee
- Department of Radiation Oncology, The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Signe Friesland
- Department of Radiation Oncology, Karolinska Institute, Stockholm, Sweden
| | - Roel J H M Steenbakkers
- Department of Radiation Oncology, University Medical Center Groningen, Groningen, The Netherlands
| | - Lisa Tans
- Department of Radiation Oncology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Jolien Heukelom
- Department of Radiation Oncology (Maastro), GROW School for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Mutamba T Kayembe
- Department of Bioinformatics and Statistics, The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Simon R van Kranen
- Department of Radiation Oncology, The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Harry Bartelink
- Department of Radiation Oncology, The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Coen R N Rasch
- Department of Radiation Oncology, Leiden University Medical Center, Leiden, The Netherlands
| | - Jan-Jakob Sonke
- Department of Radiation Oncology, The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Olga Hamming-Vrieze
- Department of Radiation Oncology, The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands.
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Caldarella C, De Risi M, Massaccesi M, Miccichè F, Bussu F, Galli J, Rufini V, Leccisotti L. Role of 18F-FDG PET/CT in Head and Neck Squamous Cell Carcinoma: Current Evidence and Innovative Applications. Cancers (Basel) 2024; 16:1905. [PMID: 38791983 PMCID: PMC11119768 DOI: 10.3390/cancers16101905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2024] [Revised: 05/08/2024] [Accepted: 05/13/2024] [Indexed: 05/26/2024] Open
Abstract
This article provides an overview of the use of 18F-FDG PET/CT in various clinical scenarios of head-neck squamous cell carcinoma, ranging from initial staging to treatment-response assessment, and post-therapy follow-up, with a focus on the current evidence, debated issues, and innovative applications. Methodological aspects and the most frequent pitfalls in head-neck imaging interpretation are described. In the initial work-up, 18F-FDG PET/CT is recommended in patients with metastatic cervical lymphadenectomy and occult primary tumor; moreover, it is a well-established imaging tool for detecting cervical nodal involvement, distant metastases, and synchronous primary tumors. Various 18F-FDG pre-treatment parameters show prognostic value in terms of disease progression and overall survival. In this scenario, an emerging role is played by radiomics and machine learning. For radiation-treatment planning, 18F-FDG PET/CT provides an accurate delineation of target volumes and treatment adaptation. Due to its high negative predictive value, 18F-FDG PET/CT, performed at least 12 weeks after the completion of chemoradiotherapy, can prevent unnecessary neck dissections. In addition to radiomics and machine learning, emerging applications include PET/MRI, which combines the high soft-tissue contrast of MRI with the metabolic information of PET, and the use of PET radiopharmaceuticals other than 18F-FDG, which can answer specific clinical needs.
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Affiliation(s)
- Carmelo Caldarella
- Nuclear Medicine Unit, Department of Radiology and Oncologic Radiotherapy, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy; (C.C.); (M.D.R.); (L.L.)
| | - Marina De Risi
- Nuclear Medicine Unit, Department of Radiology and Oncologic Radiotherapy, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy; (C.C.); (M.D.R.); (L.L.)
| | - Mariangela Massaccesi
- Radiation Oncology Unit, Department of Radiology and Oncologic Radiotherapy, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy;
| | - Francesco Miccichè
- Radiation Oncology Unit, Ospedale Isola Tiberina—Gemelli Isola, 00186 Rome, Italy;
| | - Francesco Bussu
- Otorhinolaryngology Operative Unit, Azienda Ospedaliero Universitaria Sassari, 07100 Sassari, Italy;
- Department of Medicine, Surgery and Pharmacy, University of Sassari, 07100 Sassari, Italy
| | - Jacopo Galli
- Otorhinolaryngology Unit, Department of Neurosciences, Sensory Organs and Thorax, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy;
- Section of Otolaryngology, Department of Head-Neck and Sensory Organs, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Vittoria Rufini
- Nuclear Medicine Unit, Department of Radiology and Oncologic Radiotherapy, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy; (C.C.); (M.D.R.); (L.L.)
- Section of Nuclear Medicine, Department of Radiological Sciences and Hematology, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Lucia Leccisotti
- Nuclear Medicine Unit, Department of Radiology and Oncologic Radiotherapy, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy; (C.C.); (M.D.R.); (L.L.)
- Section of Nuclear Medicine, Department of Radiological Sciences and Hematology, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
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Cui H, Li Y, Huang W, Lu W, Yi X. Escalation of radiotherapy dose in large locally advanced drug-resistant gastrointestinal stromal tumors by multi-shell simultaneous integrated boost intensity-modulated technique: a feasibility study. Radiat Oncol 2022; 17:216. [PMID: 36578008 PMCID: PMC9795666 DOI: 10.1186/s13014-022-02179-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 12/13/2022] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Resistance to conventional dose schemes and radiotoxicity of healthy tissue is a clinical challenge in the radiation therapy of large locally advanced drug-resistant gastrointestinal stromal tumor (LADR-GIST). This study aimed to assess the feasibility of using multi-shell Simultaneous Integrated Boost Intensity-Modulated modality (SIB-IMRT) strategy to provide a safe and effective escalation dose regimen for LADR-GIST. METHODS 7 patients with LADR-GIST were selected in this study. The modified SIB-IMRT plans for all patients were generated by delivering different escalation-dose gradients to four ring shaped regions (shells) within the gross tumor volume (GTV). The doses of the central volume of the tumor (GTVcenter) were escalated up to 70-92.5 Gy (25 fractions), while the doses of planning target volume (PTV) and shell-1 were kept at 50.0 Gy. Based on different escalation-dose gradients, the modified SIB-IMRT plans were divided into four groups (SIB-IMRT groups). For comparison purposes, plans obtained by conventional IMRT technique (Con-IMRT) with 50 Gy (25 fractions) were also generated for all patients (Con-IMRT group). All plans were normalized to cover 95% of the PTV with the prescribed dose of 50.0 Gy. The equivalent uniform dose (EUD), relative equivalent uniform dose (rEUD), dose volume histogram (DVH), dose profile, conformity index (CI) and monitor unit (MU) were evaluated in five groups. The Friedman Test was performed to determine whether there were significant differences (P < 0.05). RESULTS Compared with the Con-IMRT group, the EUD of GTV (EUDGTV) and rEUD of SIB-IMRT groups were improved when escalation-dose gradient was increased, and the improvement became significant when the escalation-dose gradient reached 20% of the prescription dose. The rEUD tended to be stable as the escalation-dose gradient went up to 25% of the prescription dose. There were no significant differences in CIs and DVH metrics for OARs between the Con-IMRT group and any SIB-IMRT group, but the significant differences were observed between the SIB10-IMRT group and the SIB25-IMRT group. For the SIB-IMRT groups, as the dose gradient became steeper in the dose profiles, the higher dose was mainly accumulated in the inner part of GTV accompanied with a higher MU. CONCLUSIONS The proposed multi-shell SIB-IMRT strategy is feasible in dosimetry for LADR-GIST and can acquire higher therapeutic gain without sacrifice of healthy tissues. It appears that the scheme of delivering 20% of the prescribed escalation-dose gradient to the target volume can provide satisfactory dose irradiation for LADR-GIST, and it should be evaluated in future clinical study.
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Affiliation(s)
- Haixia Cui
- grid.452206.70000 0004 1758 417XDepartment of Oncology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016 China
| | - Ying Li
- grid.452206.70000 0004 1758 417XDepartment of Oncology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016 China
| | - Wei Huang
- grid.452206.70000 0004 1758 417XDepartment of Oncology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016 China
| | - Wenli Lu
- grid.452206.70000 0004 1758 417XDepartment of Oncology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016 China
| | - Xin Yi
- grid.452206.70000 0004 1758 417XDepartment of Oncology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016 China
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5
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Dolezel M, Slavik M, Blazek T, Kazda T, Koranda P, Veverkova L, Burkon P, Cvek J. FMISO-Based Adaptive Radiotherapy in Head and Neck Cancer. J Pers Med 2022; 12:jpm12081245. [PMID: 36013194 PMCID: PMC9410424 DOI: 10.3390/jpm12081245] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 07/12/2022] [Accepted: 07/27/2022] [Indexed: 11/16/2022] Open
Abstract
Concurrent chemoradiotherapy represents one of the most used strategies in the curative treatment of patients with head and neck (HNC) cancer. Locoregional failure is the predominant recurrence pattern. Tumor hypoxia belongs to the main cause of treatment failure. Positron emission tomography (PET) using hypoxia radiotracers has been studied extensively and has proven its feasibility and reproducibility to detect tumor hypoxia. A number of studies confirmed that the uptake of FMISO in the recurrent region is significantly higher than that in the non-recurrent region. The escalation of dose to hypoxic tumors may improve outcomes. The technical feasibility of optimizing radiotherapeutic plans has been well documented. To define the hypoxic tumour volume, there are two main approaches: dose painting by contour (DPBC) or by number (DPBN) based on PET images. Despite amazing technological advances, precision in target coverage, and surrounding tissue sparring, radiation oncology is still not considered a targeted treatment if the “one dose fits all” approach is used. Using FMISO and other hypoxia tracers may be an important step for individualizing radiation treatment and together with future radiomic principles and a possible genome-based adjusting dose, will move radiation oncology into the precise and personalized era.
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Affiliation(s)
- Martin Dolezel
- Department of Oncology, Palacky University Medical School & Teaching Hospital, 77900 Olomouc, Czech Republic;
| | - Marek Slavik
- Department of Radiation Oncology, Masaryk Memorial Cancer Institute, 65652 Brno, Czech Republic; (T.K.); (P.B.)
- Department of Radiation Oncology, Faculty of Medicine, Masaryk University, 62500 Brno, Czech Republic
- Correspondence:
| | - Tomas Blazek
- Department of Oncology, Faculty of Medicine, University Hospital Ostrava, 70852 Ostrava, Czech Republic; (T.B.); (J.C.)
| | - Tomas Kazda
- Department of Radiation Oncology, Masaryk Memorial Cancer Institute, 65652 Brno, Czech Republic; (T.K.); (P.B.)
- Department of Radiation Oncology, Faculty of Medicine, Masaryk University, 62500 Brno, Czech Republic
| | - Pavel Koranda
- Department of Nuclear Medicine, Palacky University Medical School & Teaching Hospital, 77900 Olomouc, Czech Republic;
| | - Lucia Veverkova
- Department of Radiology, Palacky University Medical School & Teaching Hospital, 77900 Olomouc, Czech Republic;
| | - Petr Burkon
- Department of Radiation Oncology, Masaryk Memorial Cancer Institute, 65652 Brno, Czech Republic; (T.K.); (P.B.)
- Department of Radiation Oncology, Faculty of Medicine, Masaryk University, 62500 Brno, Czech Republic
| | - Jakub Cvek
- Department of Oncology, Faculty of Medicine, University Hospital Ostrava, 70852 Ostrava, Czech Republic; (T.B.); (J.C.)
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Dias Domingues DR, Leech MM. Exploring the impact of metabolic imaging in head and neck cancer treatment. Head Neck 2022; 44:2228-2247. [PMID: 35775713 PMCID: PMC9545005 DOI: 10.1002/hed.27131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 06/09/2022] [Accepted: 06/16/2022] [Indexed: 11/14/2022] Open
Abstract
Background Target volume delineation is performed with anatomical imaging for head and neck cancer. Molecular imaging allows the recognition of specific tumor regions. Its inclusion in the pathway could lead to changes in delineation and resultant treatment plans. Methods PRISMA methodology was adhered to when selecting the articles for analysis and only full articles were quality assessed. Results Seventeen articles were included. Gross tumor volume (GTV) primary, GTV nodal, and other target volumes were evaluated. Positron emission tomography/computerized tomography (PET/CT) produced smaller primary GTVs, although not with diffusion‐weighted imaging‐magnetic resonance imaging (DWI‐MRI) or PET/MRI. The impact of these image modalities on GTV nodal did not display any consistency. Additionally, there was considerable heterogeneity in metrics comparing delineations. Four studies included appraised the dosimetric impact of the changes in target volume delineation. Conclusion Quantifying the impact of molecular imaging is difficult, due to heterogeneity in reporting metrics in molecular imaging modalities and a paucity of detail regarding delineation method and guideline adherence.
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The value of plasma hypoxia markers for predicting imaging-based hypoxia in patients with head-and-neck cancers undergoing definitive chemoradiation. Clin Transl Radiat Oncol 2022; 33:120-127. [PMID: 35243023 PMCID: PMC8881198 DOI: 10.1016/j.ctro.2022.02.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Revised: 02/15/2022] [Accepted: 02/17/2022] [Indexed: 11/22/2022] Open
Abstract
Higher osteopontin plasma levels correlate with more hypoxic tumors at baseline. Increased baseline osteopontin levels are associated with residual tumor hypoxia. Absent early hypoxia response is linked with higher VEGF and CTGF levels in week 5. Plasma hypoxic markers may serve as biomarkers favoring radiotherapy personalization.
Background Methods Results Conclusion
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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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9
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Kim MS, Malik NH, Chen H, Poon I, Husain Z, Eskander A, Boldt G, Louie AV, Karam I. Stereotactic radiotherapy as planned boost after definitive radiotherapy for head and neck cancers: Systematic review. Head Neck 2021; 44:770-782. [PMID: 34927313 DOI: 10.1002/hed.26948] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Revised: 11/02/2021] [Accepted: 12/02/2021] [Indexed: 12/08/2022] Open
Abstract
Management of locoregionally advanced head and neck cancers (HNCs) remains a challenge. Some groups have attempted to use stereotactic radiotherapy (SBRT) to deliver "boost" treatment following conventional radiotherapy to improve local control (LC) and overall survival (OS), while aiming for acceptable toxicities. Medline, EMBASE, and Cochrane Library databases were queried for SBRT as curative-intent planned boost in HNC after conventional radiotherapy. Individual studies were reviewed from inception until January 2021, extracting patient, treatment, and outcome data. Nine studies met inclusion criteria, representing 454 unique patients treated with curative intent across multiple head and neck sites with conventional radiotherapy. At 3 years, median LC was 92% (90%-98%), and median OS was 80% (75%-91%). Seven treatment-related grade 5 toxicities (1.5%) were reported. Despite acceptable LC and OS rates, there were severe treatment-related late toxicities. As such, SBRT boost should only be used in investigational settings until more data is available.
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Affiliation(s)
- Michael S Kim
- Department of Radiation Oncology, Nova Scotia Cancer Centre, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Nauman H Malik
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Hanbo Chen
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Ian Poon
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Zain Husain
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Antoine Eskander
- Department of Otolaryngology-Head and Neck Surgery, Sunnybrook Health Sciences Centre, Odette Cancer Centre, Toronto, Ontario, Canada.,Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Gabriel Boldt
- Department of Radiation Oncology, London Health Sciences Centre, London, Ontario, Canada
| | - Alexander V Louie
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Irene Karam
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
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Bouleftour W, Rowinski E, Louati S, Sotton S, Wozny AS, Moreno-Acosta P, Mery B, Rodriguez-Lafrasse C, Magne N. A Review of the Role of Hypoxia in Radioresistance in Cancer Therapy. Med Sci Monit 2021; 27:e934116. [PMID: 34728593 PMCID: PMC8573967 DOI: 10.12659/msm.934116] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Hypoxia involves neoplastic cells. Unlike normal tissue, solid tumors are composed of aberrant vasculature, leading to a hypoxic microenvironment. Hypoxia is also known to be involved in both metastasis initiation and therapy resistance. Radiotherapy is the appropriate treatment in about half of all cancers, but loco-regional control failure and a disease recurrence often occur due to clinical radioresistance. Hypoxia induces radioresistance through a number of molecular pathways, and numerous strategies have been developed to overcome this. Nevertheless, these strategies have resulted in disappointing results, including adverse effects and limited efficacy. Additional clinical studies are needed to achieve a better understanding of the complex hypoxia pathways. This review presents an update on the mechanisms of hypoxia in radioresistance in solid tumors and the potential therapeutic solutions.
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Affiliation(s)
- Wafa Bouleftour
- Radiotherapy Department, Lucien Neuwirth Cancerology Institute, Saint Priest en Jarez, France
| | - Elise Rowinski
- Radiotherapy Department, Lucien Neuwirth Cancerology Institute, Saint Priest en Jarez, France
| | - Safa Louati
- Université Lyon 1, Faculté de Médecine-Lyon-Sud, Oullins, France.,Laboratoire de Radiobiologie Cellulaire et Moléculaire, CNRS UMR 5822, Institut de Physique Nucléaire de Lyon, IPNL, Villeurbanne, France.,Hospices Civils de Lyon, Lyon, France
| | - Sandrine Sotton
- Radiotherapy Department, Lucien Neuwirth Cancerology Institute, Saint Priest en Jarez, France
| | - Anne-Sophie Wozny
- Université Lyon 1, Faculté de Médecine-Lyon-Sud, Oullins, France.,Laboratoire de Radiobiologie Cellulaire et Moléculaire, CNRS UMR 5822, Institut de Physique Nucléaire de Lyon, IPNL, Villeurbanne, France.,Hospices Civils de Lyon, Lyon, France
| | - Pablo Moreno-Acosta
- Research Group in Cancer Biology, National Cancer Institute, Bogotá, Colombia
| | - Benoite Mery
- Radiotherapy Department, Lucien Neuwirth Cancerology Institute, Saint Priest en Jarez, France
| | - Claire Rodriguez-Lafrasse
- Université Lyon 1, Faculté de Médecine-Lyon-Sud, Oullins, France.,Laboratoire de Radiobiologie Cellulaire et Moléculaire, CNRS UMR 5822, Institut de Physique Nucléaire de Lyon, IPNL, Villeurbanne, France.,Hospices Civils de Lyon, Lyon, France
| | - Nicolas Magne
- Radiotherapy Department, Lucien Neuwirth Cancerology Institute, Saint Priest en Jarez, France.,Université Lyon 1, Faculté de Médecine-Lyon-Sud, Oullins, France.,Laboratoire de Radiobiologie Cellulaire et Moléculaire, CNRS UMR 5822, Institut de Physique Nucléaire de Lyon, IPNL, Villeurbanne, France.,Hospices Civils de Lyon, Lyon, France
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11
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Kunder S, Chatterjee A, Manna S, Mahimkar M, Patil A, Rangarajan V, Budrukkar A, Ghosh-Laskar S, Agarwal JP, Gupta T. Correlation between imaging and tissue biomarkers of hypoxia in squamous cell cancer of the head and neck. World J Nucl Med 2021; 20:228-236. [PMID: 34703390 PMCID: PMC8488888 DOI: 10.4103/wjnm.wjnm_91_20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2020] [Revised: 11/29/2020] [Accepted: 01/11/2021] [Indexed: 11/04/2022] Open
Abstract
The aim of this study was to correlate endogenous tissue biomarkers of hypoxia with quantitative imaging parameters derived from 18F-fluoro-misonidazole (F-MISO) and 18F-fluoro-deoxy-glucose (FDG) positron emission tomography/computed tomography (PET/CT) and clinical outcomes in locoregionally advanced head and neck squamous cell carcinoma (HNSCC). Tumor-tissue blocks of HNSCC patients with pretreatment F-MISO-PET/CT and FDG-PET/CT were de-archived for expression of hypoxia-inducible factor-1 alpha (HIF-1α) subunit, carbonic anhydrase-IX (CA-IX), and glucose transporter subunit-1 (GLUT-1) using immunohistochemistry (IHC). The intensity of staining was graded and correlated with quantitative imaging parameters and with disease-related outcomes. Tissue blocks were analyzed for 14 of 20 patients. On IHC, median H-scores for HIF-1α, CA-IX, and GLUT-1 were 130, 0, and 95, respectively. No significant correlation of tissue biomarkers of hypoxia with quantitative imaging parameters was found. However, borderline significant correlation was seen for H-scores of CA-IX with hypoxic tumor volume (HTV) (r = 0.873, P = 0.054) and fractional hypoxic volume (r = 0.824, P = 0.086) derived from F-MISO-PET/CT. At a median follow-up of 43 months, 5-year Kaplan-Meier estimates of locoregional control, disease-free survival, and overall survival were 53%, 43%, and 40%, respectively. Increased expression of HIF-1α or GLUT-1 (dichotomized by median H-scores) was not individually associated with disease-related outcomes. However, a combination of high HTV (>4.89cc) with above median H-scores of either HIF-1α (>130) and/or GLUT-1 (>95) was associated with worse clinical outcomes. None of the three patients with such "adverse hypoxic profile" were long-term survivors. There is no significant correlation of endogenous tissue biomarkers of hypoxia (HIF-1α, CA-IX, and GLUT-1) with quantitative imaging parameters (on F-MISO-PET/CT and FDG-PET/CT) or long-term outcomes in HNSCC. However, a combination of both can identify a subgroup of patients with adverse outcomes.
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Affiliation(s)
- Shreya Kunder
- Department of Radiation Oncology, Advanced Centre for Treatment Research & Education in Cancer (ACTREC)/Tata Memorial Hospital (TMH), Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai, India
| | - Abhishek Chatterjee
- Department of Radiation Oncology, Advanced Centre for Treatment Research & Education in Cancer (ACTREC)/Tata Memorial Hospital (TMH), Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai, India
| | - Subhakankha Manna
- Department of Mahimkar Lab, Advanced Centre for Treatment Research & Education in Cancer (ACTREC)/Tata Memorial Hospital (TMH), Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai, India
| | - Manoj Mahimkar
- Department of Mahimkar Lab, Advanced Centre for Treatment Research & Education in Cancer (ACTREC)/Tata Memorial Hospital (TMH), Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai, India
| | - Asawari Patil
- Department of Pathology, Advanced Centre for Treatment Research & Education in Cancer (ACTREC)/Tata Memorial Hospital (TMH), Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai, India
| | - Venkatesh Rangarajan
- Department of Nuclear Medicine & Molecular Imaging, Advanced Centre for Treatment Research & Education in Cancer (ACTREC)/Tata Memorial Hospital (TMH), Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai, India
| | - Ashwini Budrukkar
- Department of Radiation Oncology, Advanced Centre for Treatment Research & Education in Cancer (ACTREC)/Tata Memorial Hospital (TMH), Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai, India
| | - Sarbani Ghosh-Laskar
- Department of Radiation Oncology, Advanced Centre for Treatment Research & Education in Cancer (ACTREC)/Tata Memorial Hospital (TMH), Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai, India
| | - Jai Prakash Agarwal
- Department of Radiation Oncology, Advanced Centre for Treatment Research & Education in Cancer (ACTREC)/Tata Memorial Hospital (TMH), Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai, India
| | - Tejpal Gupta
- Department of Radiation Oncology, Advanced Centre for Treatment Research & Education in Cancer (ACTREC)/Tata Memorial Hospital (TMH), Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai, India
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12
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Carles M, Fechter T, Grosu AL, Sörensen A, Thomann B, Stoian RG, Wiedenmann N, Rühle A, Zamboglou C, Ruf J, Martí-Bonmatí L, Baltas D, Mix M, Nicolay NH. 18F-FMISO-PET Hypoxia Monitoring for Head-and-Neck Cancer Patients: Radiomics Analyses Predict the Outcome of Chemo-Radiotherapy. Cancers (Basel) 2021; 13:3449. [PMID: 34298663 PMCID: PMC8303992 DOI: 10.3390/cancers13143449] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Revised: 07/06/2021] [Accepted: 07/06/2021] [Indexed: 12/24/2022] Open
Abstract
Tumor hypoxia is associated with radiation resistance and can be longitudinally monitored by 18F-fluoromisonidazole (18F-FMISO)-PET/CT. Our study aimed at evaluating radiomics dynamics of 18F-FMISO-hypoxia imaging during chemo-radiotherapy (CRT) as predictors for treatment outcome in head-and-neck squamous cell carcinoma (HNSCC) patients. We prospectively recruited 35 HNSCC patients undergoing definitive CRT and longitudinal 18F-FMISO-PET/CT scans at weeks 0, 2 and 5 (W0/W2/W5). Patients were classified based on peritherapeutic variations of the hypoxic sub-volume (HSV) size (increasing/stable/decreasing) and location (geographically-static/geographically-dynamic) by a new objective classification parameter (CP) accounting for spatial overlap. Additionally, 130 radiomic features (RF) were extracted from HSV at W0, and their variations during CRT were quantified by relative deviations (∆RF). Prediction of treatment outcome was considered statistically relevant after being corrected for multiple testing and confirmed for the two 18F-FMISO-PET/CT time-points and for a validation cohort. HSV decreased in 64% of patients at W2 and in 80% at W5. CP distinguished earlier disease progression (geographically-dynamic) from later disease progression (geographically-static) in both time-points and cohorts. The texture feature low grey-level zone emphasis predicted local recurrence with AUCW2 = 0.82 and AUCW5 = 0.81 in initial cohort (N = 25) and AUCW2 = 0.79 and AUCW5 = 0.80 in validation cohort. Radiomics analysis of 18F-FMISO-derived hypoxia dynamics was able to predict outcome of HNSCC patients after CRT.
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Affiliation(s)
- Montserrat Carles
- Department of Radiation Oncology, Division of Medical Physics, Medical Center, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany; (T.F.); (B.T.); (D.B.)
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Partner Site Freiburg of the German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; (A.L.G.); (A.S.); (R.G.S.); (N.W.); (A.R.); (C.Z.); (J.R.); (M.M.); (N.H.N.)
- La Fe Health Research Institute, Biomedical Imaging Research Group (GIBI230-PREBI) and Imaging La Fe node at Distributed Network for Biomedical Imaging (ReDIB) Unique Scientific and Technical Infrastructures (ICTS), 46026 Valencia, Spain;
| | - Tobias Fechter
- Department of Radiation Oncology, Division of Medical Physics, Medical Center, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany; (T.F.); (B.T.); (D.B.)
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Partner Site Freiburg of the German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; (A.L.G.); (A.S.); (R.G.S.); (N.W.); (A.R.); (C.Z.); (J.R.); (M.M.); (N.H.N.)
| | - Anca L. Grosu
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Partner Site Freiburg of the German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; (A.L.G.); (A.S.); (R.G.S.); (N.W.); (A.R.); (C.Z.); (J.R.); (M.M.); (N.H.N.)
- Department of Radiation Oncology, Medical Center, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany
| | - Arnd Sörensen
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Partner Site Freiburg of the German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; (A.L.G.); (A.S.); (R.G.S.); (N.W.); (A.R.); (C.Z.); (J.R.); (M.M.); (N.H.N.)
- Department of Radiation Oncology, Medical Center, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany
| | - Benedikt Thomann
- Department of Radiation Oncology, Division of Medical Physics, Medical Center, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany; (T.F.); (B.T.); (D.B.)
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Partner Site Freiburg of the German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; (A.L.G.); (A.S.); (R.G.S.); (N.W.); (A.R.); (C.Z.); (J.R.); (M.M.); (N.H.N.)
| | - Raluca G. Stoian
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Partner Site Freiburg of the German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; (A.L.G.); (A.S.); (R.G.S.); (N.W.); (A.R.); (C.Z.); (J.R.); (M.M.); (N.H.N.)
- Department of Radiation Oncology, Medical Center, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany
| | - Nicole Wiedenmann
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Partner Site Freiburg of the German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; (A.L.G.); (A.S.); (R.G.S.); (N.W.); (A.R.); (C.Z.); (J.R.); (M.M.); (N.H.N.)
- Department of Radiation Oncology, Medical Center, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany
| | - Alexander Rühle
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Partner Site Freiburg of the German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; (A.L.G.); (A.S.); (R.G.S.); (N.W.); (A.R.); (C.Z.); (J.R.); (M.M.); (N.H.N.)
- Department of Radiation Oncology, Medical Center, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany
| | - Constantinos Zamboglou
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Partner Site Freiburg of the German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; (A.L.G.); (A.S.); (R.G.S.); (N.W.); (A.R.); (C.Z.); (J.R.); (M.M.); (N.H.N.)
- Department of Radiation Oncology, Medical Center, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany
| | - Juri Ruf
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Partner Site Freiburg of the German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; (A.L.G.); (A.S.); (R.G.S.); (N.W.); (A.R.); (C.Z.); (J.R.); (M.M.); (N.H.N.)
- Department of Radiation Oncology, Medical Center, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany
| | - Luis Martí-Bonmatí
- La Fe Health Research Institute, Biomedical Imaging Research Group (GIBI230-PREBI) and Imaging La Fe node at Distributed Network for Biomedical Imaging (ReDIB) Unique Scientific and Technical Infrastructures (ICTS), 46026 Valencia, Spain;
| | - Dimos Baltas
- Department of Radiation Oncology, Division of Medical Physics, Medical Center, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany; (T.F.); (B.T.); (D.B.)
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Partner Site Freiburg of the German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; (A.L.G.); (A.S.); (R.G.S.); (N.W.); (A.R.); (C.Z.); (J.R.); (M.M.); (N.H.N.)
| | - Michael Mix
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Partner Site Freiburg of the German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; (A.L.G.); (A.S.); (R.G.S.); (N.W.); (A.R.); (C.Z.); (J.R.); (M.M.); (N.H.N.)
- Department of Nuclear Medicine, Medical Center, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany
| | - Nils H. Nicolay
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Partner Site Freiburg of the German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; (A.L.G.); (A.S.); (R.G.S.); (N.W.); (A.R.); (C.Z.); (J.R.); (M.M.); (N.H.N.)
- Department of Radiation Oncology, Medical Center, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany
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13
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Thureau S, Modzelewski R, Bohn P, Hapdey S, Gouel P, Dubray B, Vera P. Comparison of Hypermetabolic and Hypoxic Volumes Delineated on [ 18F]FDG and [ 18F]Fluoromisonidazole PET/CT in Non-small-cell Lung Cancer Patients. Mol Imaging Biol 2021; 22:764-771. [PMID: 31432388 DOI: 10.1007/s11307-019-01422-6] [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: 02/02/2023]
Abstract
PURPOSE The high rates of failure in the radiotherapy target volume suggest that patients with stage II or III non-small-cell lung cancer (NSCLC) should receive an increased total dose of radiotherapy. 2-Deoxy-2-[18F]fluoro-D-glucose ([18F]FDG) and [18F]fluoromisonidazole ([18F]FMISO) (hypoxia) uptake on pre-radiotherapy positron emission tomography (PET)/X-ray computed tomography (CT) have been independently reported to identify intratumor subvolumes at higher risk of relapse after radiotherapy. We have compared the [18F]FDG and [18F]FMISO volumes defined by PET/CT in NSCLC patients included in a prospective study. PROCEDURES Thirty-four patients with non-resectable lung cancer underwent [18F]FDG and [18F]FMISO PET/CT before (pre-RT) and during radiotherapy (around 42 Gy, per-RT). The criteria were to delineate 40 % and 90 % SUVmax thresholds on [18F]FDG PET/CT (metabolic volumes), and SUV > 1.4 on pre-RT [18F]FMISO PET/CT (hypoxic volume). The functional volumes were delineated within the tumor volume as defined on co-registered CTs. RESULTS The mean pre-RT and per-RT [18F]FDG volumes were not statistically different (30.4 cc vs 22.2; P = 0.12). The mean pre-RT SUVmax [18F]FDG was higher than per-RT SUVmax (12.7 vs 6.5; P < 0.0001). The mean [18F]FMISO SUVmax and volumes were 2.7 and 1.37 cc, respectively. Volume-based analysis showed good overlap between [18F]FDG and [18F]FMISO for all methods of segmentation but a poor correlation for Jaccard or Dice Indices (DI). The DI maximum was 0.45 for a threshold at 40 or 50 %. CONCLUSION The correlation between [18F]FDG and [18F]FMISO uptake is low in NSCLC, making it possible to envisage different management strategies as the studies in progress show.
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Affiliation(s)
- Sébastien Thureau
- Department of Radiation Oncology, Henri Becquerel Cancer Center and Rouen University Hospital, & QuantIF - LITIS [EA (Equipe d'Accueil) 4108, FR CNRS 3638], Faculty of Medecine, University of Rouen, Rouen, France. .,Department of Nuclear Medicine, Henri Becquerel Cancer Center and Rouen University Hospital, & QuantIF - LITIS [EA (Equipe d'Accueil) 4108 - FR CNRS 3638], Faculty of Medicine, University of Rouen, Rouen, France.
| | - R Modzelewski
- Department of Nuclear Medicine, Henri Becquerel Cancer Center and Rouen University Hospital, & QuantIF - LITIS [EA (Equipe d'Accueil) 4108 - FR CNRS 3638], Faculty of Medicine, University of Rouen, Rouen, France
| | - P Bohn
- Department of Nuclear Medicine, Henri Becquerel Cancer Center and Rouen University Hospital, & QuantIF - LITIS [EA (Equipe d'Accueil) 4108 - FR CNRS 3638], Faculty of Medicine, University of Rouen, Rouen, France
| | - S Hapdey
- Department of Nuclear Medicine, Henri Becquerel Cancer Center and Rouen University Hospital, & QuantIF - LITIS [EA (Equipe d'Accueil) 4108 - FR CNRS 3638], Faculty of Medicine, University of Rouen, Rouen, France
| | - P Gouel
- Department of Nuclear Medicine, Henri Becquerel Cancer Center and Rouen University Hospital, & QuantIF - LITIS [EA (Equipe d'Accueil) 4108 - FR CNRS 3638], Faculty of Medicine, University of Rouen, Rouen, France
| | - B Dubray
- Department of Radiation Oncology, Henri Becquerel Cancer Center and Rouen University Hospital, & QuantIF - LITIS [EA (Equipe d'Accueil) 4108, FR CNRS 3638], Faculty of Medecine, University of Rouen, Rouen, France
| | - P Vera
- Department of Nuclear Medicine, Henri Becquerel Cancer Center and Rouen University Hospital, & QuantIF - LITIS [EA (Equipe d'Accueil) 4108 - FR CNRS 3638], Faculty of Medicine, University of Rouen, Rouen, France
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14
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Bogowicz M, Pavic M, Riesterer O, Finazzi T, Garcia Schüler H, Holz-Sapra E, Rudofsky L, Basler L, Spaniol M, Ambrusch A, Hüllner M, Guckenberger M, Tanadini-Lang S. Targeting Treatment Resistance in Head and Neck Squamous Cell Carcinoma - Proof of Concept for CT Radiomics-Based Identification of Resistant Sub-Volumes. Front Oncol 2021; 11:664304. [PMID: 34123824 PMCID: PMC8191457 DOI: 10.3389/fonc.2021.664304] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Accepted: 04/06/2021] [Indexed: 12/18/2022] Open
Abstract
Purpose Radiomics has already been proposed as a prognostic biomarker in head and neck cancer (HNSCC). However, its predictive power in radiotherapy has not yet been studied. Here, we investigated a local radiomics approach to distinguish between tumor sub-volumes with different levels of radiosensitivity as a possible target for radiation dose intensification. Materials and Methods Of 40 patients (n=28 training and n=12 validation) with biopsy confirmed locally recurrent HNSCC, pretreatment contrast-enhanced CT images were registered with follow-up PET/CT imaging allowing identification of controlled (GTVcontrol) vs non-controlled (GTVrec) tumor sub-volumes on pretreatment imaging. A bi-regional model was built using radiomic features extracted from pretreatment CT in the GTVrec and GTVcontrol to differentiate between those regions. Additionally, concept of local radiomics was implemented to perform detection task. The original tumor volume was divided into sub-volumes with no prior information on the location of recurrence. Radiomic features from those sub-volumes were then used to detect recurrent sub-volumes using multivariable logistic regression. Results Radiomic features extracted from non-controlled regions differed significantly from those in controlled regions (training AUC = 0.79 CI 95% 0.66 - 0.91 and validation AUC = 0.88 CI 95% 0.72 – 1.00). Local radiomics analysis allowed efficient detection of non-controlled sub-volumes both in the training AUC = 0.66 (CI 95% 0.56 – 0.75) and validation cohort 0.70 (CI 95% 0.53 – 0.86), however performance of this model was inferior to bi-regional model. Both models indicated that sub-volumes characterized by higher heterogeneity were linked to tumor recurrence. Conclusion Local radiomics is able to detect sub-volumes with decreased radiosensitivity, associated with location of tumor recurrence in HNSCC in the pre-treatment CT imaging. This proof of concept study, indicates that local CT radiomics can be used as predictive biomarker in radiotherapy and potential target for dose intensification.
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Affiliation(s)
- Marta Bogowicz
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Matea Pavic
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Oliver Riesterer
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Centre for Radiation Oncology KSA-KSB, Cantonal Hospital Aarau, Aarau, Switzerland
| | - Tobias Finazzi
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Helena Garcia Schüler
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Edna Holz-Sapra
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Leonie Rudofsky
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Lucas Basler
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Manon Spaniol
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Andreas Ambrusch
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Martin Hüllner
- Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Matthias Guckenberger
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Stephanie Tanadini-Lang
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
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15
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Thiruthaneeswaran N, Bibby BAS, Yang L, Hoskin PJ, Bristow RG, Choudhury A, West C. Lost in application: Measuring hypoxia for radiotherapy optimisation. Eur J Cancer 2021; 148:260-276. [PMID: 33756422 DOI: 10.1016/j.ejca.2021.01.039] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Revised: 01/21/2021] [Accepted: 01/28/2021] [Indexed: 12/15/2022]
Abstract
The history of radiotherapy is intertwined with research on hypoxia. There is level 1a evidence that giving hypoxia-targeting treatments with radiotherapy improves locoregional control and survival without compromising late side-effects. Despite coming in and out of vogue over decades, there is now an established role for hypoxia in driving molecular alterations promoting tumour progression and metastases. While tumour genomic complexity and immune profiling offer promise, there is a stronger evidence base for personalising radiotherapy based on hypoxia status. Despite this, there is only one phase III trial targeting hypoxia modification with full transcriptomic data available. There are no biomarkers in routine use for patients undergoing radiotherapy to aid management decisions, and a roadmap is needed to ensure consistency and provide a benchmark for progression to application. Gene expression signatures address past limitations of hypoxia biomarkers and could progress biologically optimised radiotherapy. Here, we review recent developments in generating hypoxia gene expression signatures and highlight progress addressing the challenges that must be overcome to pave the way for their clinical application.
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Affiliation(s)
- Niluja Thiruthaneeswaran
- Division of Cancer Sciences, The University of Manchester, Manchester, UK; Sydney Medical School, The University of Sydney, Sydney, New South Wales, Australia.
| | - Becky A S Bibby
- Division of Cancer Sciences, The University of Manchester, Manchester, UK
| | - Lingjang Yang
- Division of Cancer Sciences, The University of Manchester, Manchester, UK
| | - Peter J Hoskin
- Division of Cancer Sciences, The University of Manchester, Manchester, UK; Mount Vernon Cancer Centre, Northwood, UK
| | - Robert G Bristow
- Division of Cancer Sciences, The University of Manchester, Manchester, UK; CRUK Manchester Institute and Manchester Cancer Research Centre, Manchester, UK
| | - Ananya Choudhury
- Division of Cancer Sciences, The University of Manchester, Christie Hospital NHS Foundation Trust, Manchester, UK
| | - Catharine West
- Division of Cancer Sciences, The University of Manchester, Christie Hospital NHS Foundation Trust, Manchester, UK
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16
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Pigorsch SU, Kampfer S, Oechsner M, Mayinger MC, Mozes P, Devecka M, Kessel KK, Combs SE, Wilkens JJ. Report on planning comparison of VMAT, IMRT and helical tomotherapy for the ESCALOX-trial pre-study. Radiat Oncol 2020; 15:253. [PMID: 33138837 PMCID: PMC7607845 DOI: 10.1186/s13014-020-01693-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Accepted: 10/21/2020] [Indexed: 12/12/2022] Open
Abstract
Background The ESCALOX trial was designed as a multicenter, randomized prospective dose escalation study for head and neck cancer. Therefore, feasibility of treatment planning via different treatment planning systems (TPS) and radiotherapy (RT) techniques is essential. We hypothesized the comparability of dose distributions for simultaneous integrated boost (SIB) volumes respecting the constraints by different TPS and RT techniques. Methods CT data sets of the first six patients (all male, mean age: 61.3 years) of the pre-study (up to 77 Gy) were used for comparison of IMRT, VMAT, and helical tomotherapy (HT). Oropharynx was the primary tumor location. Normalization of the three step SIB (77 Gy, 70 Gy, 56 Gy) was D95% = 77 Gy. Coverage (CVF), healthy tissue conformity index (HTCI), conformation number (CN), and dose homogeneity (HI) were compared for PTVs and conformation index (COIN) for parotids. Results All RT techniques achieved good coverage. For SIB77Gy, CVF was best for IMRT and VMAT, HT achieved highest CN followed by VMAT and IMRT. HT reached good HTCI value, and HI compared to both other techniques. For SIB70Gy, CVF was best by IMRT. HTCI favored HT, consequently CN as well. HI was slightly better for HT. For SIB56Gy, CVF resulted comparably. Conformity favors VMAT as seen by HTCI and CN. Dmean of ipsilateral and contralateral parotids favor HT. Conclusion Different TPS for dose escalation reliably achieved high plan quality. Despite the very good results of HT planning for coverage, conformity, and homogeneity, the TPS also achieved acceptable results for IMRT and VMAT. Trial registration ClinicalTrials.gov Identifier: NCT 01212354, EudraCT-No.: 2010-021139-15. ARO: ARO 14-01
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Affiliation(s)
- Steffi U Pigorsch
- Department of Radiation Oncology, Technical University of Munich (TUM), School of Medicine, Klinikum Rechts Der Isar, Ismaninger Straße 22, 81675, Munich, Germany.
| | - Severin Kampfer
- Department of Radiation Oncology, Technical University of Munich (TUM), School of Medicine, Klinikum Rechts Der Isar, Ismaninger Straße 22, 81675, Munich, Germany
| | - Markus Oechsner
- Department of Radiation Oncology, Technical University of Munich (TUM), School of Medicine, Klinikum Rechts Der Isar, Ismaninger Straße 22, 81675, Munich, Germany
| | - Michael C Mayinger
- Department of Radiation Oncology, University Hospital Zurich, Rämistrasse 100, Zurich, Switzerland
| | - Petra Mozes
- Department of Radiation Oncology, Technical University of Munich (TUM), School of Medicine, Klinikum Rechts Der Isar, Ismaninger Straße 22, 81675, Munich, Germany
| | - Michal Devecka
- Department of Radiation Oncology, Technical University of Munich (TUM), School of Medicine, Klinikum Rechts Der Isar, Ismaninger Straße 22, 81675, Munich, Germany
| | - Kerstin K Kessel
- Department of Radiation Oncology, Technical University of Munich (TUM), School of Medicine, Klinikum Rechts Der Isar, Ismaninger Straße 22, 81675, Munich, Germany
| | - Stephanie E Combs
- Department of Radiation Oncology, Technical University of Munich (TUM), School of Medicine, Klinikum Rechts Der Isar, Ismaninger Straße 22, 81675, Munich, Germany.,Institute of Radiation Medicine (IRM), Helmholtz Zentrum München, Ingolstädter Landstraße 1, Neuherberg, Germany
| | - Jan J Wilkens
- Department of Radiation Oncology, Technical University of Munich (TUM), School of Medicine, Klinikum Rechts Der Isar, Ismaninger Straße 22, 81675, Munich, Germany
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MRI- and CT-determined changes of dysphagia / aspiration-related structures (DARS) during and after radiotherapy. PLoS One 2020; 15:e0237501. [PMID: 32877418 PMCID: PMC7467287 DOI: 10.1371/journal.pone.0237501] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Accepted: 07/09/2020] [Indexed: 11/22/2022] Open
Abstract
Purpose The concept of dysphagia/aspiration-related structures (DARS) was developed against the background of severe late side effects of radiotherapy (RT) for head and neck cancer (HNC). DARS can be delineated on CT scans, but with a better morphological discrimination on magnetic resonance imaging (MRI). Swallowing function was analyzed by use of patient charts and prospective investigations and questionnaires. Method Seventeen HNC patients treated with intensity-modulated radiotherapy (IMRT) ± chemotherapy between 5/2012 – 8/2015 were included. Planning CT (computed tomography) scans and MRIs (magnetic resonance imaging) prior, during 40 Gray (Gy) radiotherapy and posttreatment were available and co-registered to delineate DARS. The RT dose of each DARS was calculated. Five patients were investigated posttreatment for swallowing function and assessed by means of various questionnaires for quality of life (QoL), swallowing, and voice function. Results By retrospective comparison of DARS volume, a significant change in four of eight DARS was detected over time. Three increased and one diminished. The risk of posttreatment dysphagia rose by every 1Gy above the mean dose (D mean) of RT to DARS. 7.5 was the risk factor for dysphagia in the first 6 months, reducing to 4.7 for months 6-12 posttreatment. For all five patients of the prospective part of swallowing investigations, a function disturbance was detected. These results were in contrast to the self-assessment of patients by questionnaires. There was neither a dose dependency of D mean DARS volume changes over time nor of dysphonia and no correlation between volume changes, dysphagia or dysphonia. Conclusion Delineation of DARS on MRI co-registered to planning CT gave the opportunity to differentiate morphology better than by CT alone. Due to the small number of patients with complete MRI scans over time, we failed to detect a dose dependency of DARS and swallowing and voice disorder posttreatment.
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Kovács G, Martinez-Monge R, Budrukkar A, Guinot JL, Johansson B, Strnad V, Rovirosa A, Siebert FA, Tagliaferri L. Response to Escande et al.: Magnetic guided brachytherapy: Time for non-pelvic cancer? Example from tongue brachytherapy. Radiother Oncol 2020; 155:e3-e4. [PMID: 32798596 DOI: 10.1016/j.radonc.2020.07.047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2020] [Accepted: 07/06/2020] [Indexed: 11/17/2022]
Affiliation(s)
| | | | - Ashwini Budrukkar
- Department of Radiation Oncology, Tata Memorial Hospital, Mumbai, India
| | - Jose Luis Guinot
- Department of Radiation Oncology, Fundacion Institito Valenciano de Oncologia (IVO), Valencia, Spain
| | | | - Vratislav Strnad
- Department of Radiation Oncology, University Hospital Erlangen, Germany
| | - Angeles Rovirosa
- Department of Radiation Oncology, Hospital Clinic i Universitari, Fonaments Clinics Dept., University of Barcelona, Barcelona, Spain
| | - Frank-André Siebert
- Department of Radiotherapy (Radiooncology), Christian-Albrechts-University/UKSH, Kiel, Germany
| | - Luca Tagliaferri
- Unità Operativa Complessa di Radioterapia Oncologica, Fondazione Policlinico Universitario A. Gemelli IRCCS, Roma, Italy
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Saksø M, Mortensen LS, Primdahl H, Johansen J, Kallehauge J, Hansen CR, Overgaard J. Influence of FAZA PET hypoxia and HPV-status for the outcome of head and neck squamous cell carcinoma (HNSCC) treated with radiotherapy: Long-term results from the DAHANCA 24 trial (NCT01017224). Radiother Oncol 2020; 151:126-133. [PMID: 32805273 DOI: 10.1016/j.radonc.2020.08.006] [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: 06/11/2020] [Revised: 07/30/2020] [Accepted: 08/11/2020] [Indexed: 10/23/2022]
Abstract
PURPOSE Hypoxic tumor volumes can be visualized with 18F-FAZA PET/CT. In head and neck squamous cell carcinoma (HNSCC), hypoxia is important for the clinical outcome after primary radiotherapy (RT). The outcome is furthermore heavily influenced by the HPV/p16-positivity of oropharyngeal tumors (OPCp16+ tumors). The study purposes were (1) to report on locoregional failures within five years after primary RT in a prospective cohort stratified by both HPV/p16-status and PET hypoxia and (2) to characterize the failure site and the spatial association to PET hypoxia. MATERIAL AND METHODS From 2009 to 2011, 38 patients with non-metastatic SCC of the larynx, oro-, hypo- and nasopharynx completing primary RT were included in the prospective DAHANCA 24 trial (NCT01017224). Fifteen patients had OPCp16+ tumors. All were imaged with a static FAZA PET/CT prior to treatment. The hypoxia threshold was determined by a tumor-to-muscle ratio (TMR) of 1.6. Recurrences were documented histologically. Imaging of the recurrence was deformable fused with the pre-treatment FAZA PET/CT. The spatial information of recurrence- and hypoxic volumes were compared visually. RESULTS Sixteen patients had more hypoxic tumors (high tracer uptake, TMR ≥1.6) before treatment (42%). With a median follow-up of 7.8 years, nine locoregional recurrences were observed, of which seven were in patients with high-uptake tumors (44% and 9%, respectively, HR 5.8 [1.2-28.2]). The risk of locoregional recurrence was highest among patients with more hypoxic, non-OPCp16+ tumors (57% [21-94%]), with a risk difference of 45% [4-86%], when comparing to less hypoxic, non-OPCp16+ tumors. Eight patients had sufficient imaging of the recurrence for co-registration with the FAZA PET/CT. Six had hypoxic primary tumors, and in two, the recurrence was overlapping the baseline hypoxic subvolume. CONCLUSION HNSCC demonstrating a TMR ≥1.6 at baseline is significantly associated with treatment failure after primary RT. In addition to HPV/p16-status, FAZA PET/CT has potential for the selection of tumors requiring treatment intensification.
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Affiliation(s)
- Mette Saksø
- Department of Experimental Clinical Oncology, Aarhus University Hospital, Denmark.
| | | | - Hanne Primdahl
- Department of Oncology, Aarhus University Hospital, Denmark
| | | | | | | | - Jens Overgaard
- Department of Experimental Clinical Oncology, Aarhus University Hospital, Denmark
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Radioresistant tumours: From identification to targeting. Cancer Radiother 2020; 24:699-705. [PMID: 32753241 DOI: 10.1016/j.canrad.2020.05.005] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Accepted: 05/28/2020] [Indexed: 12/15/2022]
Abstract
From surviving fraction to tumour curability, definitions of tumour radioresistance may vary depending on the view angle. Yet, mechanisms of radioresistance have been identified and involve tumour-specific oncogenic signalling pathways, tumour metabolism and proliferation, tumour microenvironment/hypoxia, genomics. Correlations between tumour biology (histology) and imaging allow theragnostic approaches that use non-invasive biological imaging using tracer functionalization of tumour pathway biomarkers, imaging of hypoxia, etc. Modelling dose prescription function based on their tumour radio-resistant factor enhancement ratio, related to metabolism, proliferation, hypoxia is an area of investigation. Yet, the delivery of dose painting by numbers/voxel-based radiotherapy with low lineal energy transfer particles may be limited by the degree of modulation complexity needed to achieve the doses needed to counteract radioresistance. Higher lineal energy transfer particles or combinations of different particles, or combinations with drugs and devices such as done with radioenhancing nanoparticles may be promising.
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21
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Saksø M, Primdahl H, Johansen J, Nowicka-Matus K, Overgaard J. DAHANCA 33: functional image-guided dose-escalated radiotherapy to patients with hypoxic squamous cell carcinoma of the head and neck (NCT02976051). Acta Oncol 2020; 59:208-211. [PMID: 31805799 DOI: 10.1080/0284186x.2019.1695065] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Affiliation(s)
- M. Saksø
- Department of Experimental Clinical Oncology, Aarhus University Hospital, Aarhus, Denmark
| | - H. Primdahl
- Department of Oncology, Aarhus University Hospital, Aarhus, Denmark
| | - J. Johansen
- Department of Oncology, Odense University Hospital, Odense, Denmark
| | - K. Nowicka-Matus
- Department of Oncology, Aalborg University Hospital, Aalborg, Denmark
| | - J. Overgaard
- Department of Experimental Clinical Oncology, Aarhus University Hospital, Aarhus, Denmark
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Hohenstein NA, Chan JW, Wu SY, Tahir P, Yom SS. Diagnosis, Staging, Radiation Treatment Response Assessment, and Outcome Prognostication of Head and Neck Cancers Using PET Imaging. PET Clin 2020; 15:65-75. [DOI: 10.1016/j.cpet.2019.08.010] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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Press RH, Shu HKG, Shim H, Mountz JM, Kurland BF, Wahl RL, Jones EF, Hylton NM, Gerstner ER, Nordstrom RJ, Henderson L, Kurdziel KA, Vikram B, Jacobs MA, Holdhoff M, Taylor E, Jaffray DA, Schwartz LH, Mankoff DA, Kinahan PE, Linden HM, Lambin P, Dilling TJ, Rubin DL, Hadjiiski L, Buatti JM. The Use of Quantitative Imaging in Radiation Oncology: A Quantitative Imaging Network (QIN) Perspective. Int J Radiat Oncol Biol Phys 2018; 102:1219-1235. [PMID: 29966725 PMCID: PMC6348006 DOI: 10.1016/j.ijrobp.2018.06.023] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2018] [Revised: 05/25/2018] [Accepted: 06/14/2018] [Indexed: 02/07/2023]
Abstract
Modern radiation therapy is delivered with great precision, in part by relying on high-resolution multidimensional anatomic imaging to define targets in space and time. The development of quantitative imaging (QI) modalities capable of monitoring biologic parameters could provide deeper insight into tumor biology and facilitate more personalized clinical decision-making. The Quantitative Imaging Network (QIN) was established by the National Cancer Institute to advance and validate these QI modalities in the context of oncology clinical trials. In particular, the QIN has significant interest in the application of QI to widen the therapeutic window of radiation therapy. QI modalities have great promise in radiation oncology and will help address significant clinical needs, including finer prognostication, more specific target delineation, reduction of normal tissue toxicity, identification of radioresistant disease, and clearer interpretation of treatment response. Patient-specific QI is being incorporated into radiation treatment design in ways such as dose escalation and adaptive replanning, with the intent of improving outcomes while lessening treatment morbidities. This review discusses the current vision of the QIN, current areas of investigation, and how the QIN hopes to enhance the integration of QI into the practice of radiation oncology.
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Affiliation(s)
- Robert H. Press
- Dept. of Radiation Oncology, Winship Cancer Institute of Emory University, Atlanta, GA
| | - Hui-Kuo G. Shu
- Dept. of Radiation Oncology, Winship Cancer Institute of Emory University, Atlanta, GA
| | - Hyunsuk Shim
- Dept. of Radiation Oncology, Winship Cancer Institute of Emory University, Atlanta, GA
| | - James M. Mountz
- Dept. of Radiology, University of Pittsburgh, Pittsburgh, PA
| | | | | | - Ella F. Jones
- Dept. of Radiology, University of California, San Francisco, San Francisco, CA
| | - Nola M. Hylton
- Dept. of Radiology, University of California, San Francisco, San Francisco, CA
| | - Elizabeth R. Gerstner
- Dept. of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA
| | | | - Lori Henderson
- Cancer Imaging Program, National Cancer Institute, Bethesda, MD
| | | | - Bhadrasain Vikram
- Radiation Research Program/Division of Cancer Treatment & Diagnosis, National Cancer Institute, Bethesda, MD
| | - Michael A. Jacobs
- Dept. of Radiology and Radiological Science, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore MD
| | - Matthias Holdhoff
- Brain Cancer Program, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore MD
| | - Edward Taylor
- Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
| | - David A. Jaffray
- Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
| | | | - David A. Mankoff
- Dept. of Radiology, University of Pennsylvania, Philadelphia, PA
| | | | | | - Philippe Lambin
- Dept. of Radiation Oncology (MAASTRO), GROW-School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Thomas J. Dilling
- Dept. of Radiation Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
| | | | | | - John M. Buatti
- Dept. of Radiation Oncology, University of Iowa, Iowa City, IA
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24
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Bonnitcha P, Grieve S, Figtree G. Clinical imaging of hypoxia: Current status and future directions. Free Radic Biol Med 2018; 126:296-312. [PMID: 30130569 DOI: 10.1016/j.freeradbiomed.2018.08.019] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2018] [Revised: 07/30/2018] [Accepted: 08/14/2018] [Indexed: 12/20/2022]
Abstract
Tissue hypoxia is a key feature of many important causes of morbidity and mortality. In pathologies such as stroke, peripheral vascular disease and ischaemic heart disease, hypoxia is largely a consequence of low blood flow induced ischaemia, hence perfusion imaging is often used as a surrogate for hypoxia to guide clinical diagnosis and treatment. Importantly, ischaemia and hypoxia are not synonymous conditions as it is not universally true that well perfused tissues are normoxic or that poorly perfused tissues are hypoxic. In pathologies such as cancer, for instance, perfusion imaging and oxygen concentration are less well correlated, and oxygen concentration is independently correlated to radiotherapy response and overall treatment outcomes. In addition, the progression of many diseases is intricately related to maladaptive responses to the hypoxia itself. Thus there is potentially great clinical and scientific utility in direct measurements of tissue oxygenation. Despite this, imaging assessment of hypoxia in patients is rarely performed in clinical settings. This review summarises some of the current methods used to clinically evaluate hypoxia, the barriers to the routine use of these methods and the newer agents and techniques being explored for the assessment of hypoxia in pathological processes.
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Affiliation(s)
- Paul Bonnitcha
- Northern and Central Clinical Schools, Faculty of Medicine, Sydney University, Sydney, NSW 2006, Australia; Chemical Pathology Department, NSW Health Pathology, Royal Prince Alfred Hospital, Camperdown, NSW 2050, Australia; Kolling Institute of Medical Research, University of Sydney, St Leonards, New South Wales 2065, Australia.
| | - Stuart Grieve
- Sydney Translational Imaging Laboratory, Heart Research Institute, Charles Perkins Centre and Sydney Medical School, University of Sydney, NSW 2050, Australia
| | - Gemma Figtree
- Kolling Institute of Medical Research, University of Sydney, St Leonards, New South Wales 2065, Australia; Cardiology Department, Royal North Shore Hospital, St Leonards, New South Wales 2065, Australia
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25
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Optimal timing of fluorine-18-fluoromisonidazole positron emission tomography/computed tomography for assessment of tumor hypoxia in patients with head and neck squamous cell carcinoma. Nucl Med Commun 2018; 39:859-864. [DOI: 10.1097/mnm.0000000000000878] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
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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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Crispin-Ortuzar M, Apte A, Grkovski M, Oh JH, Lee NY, Schöder H, Humm JL, Deasy JO. Predicting hypoxia status using a combination of contrast-enhanced computed tomography and [ 18F]-Fluorodeoxyglucose positron emission tomography radiomics features. Radiother Oncol 2018; 127:36-42. [PMID: 29273260 PMCID: PMC5924729 DOI: 10.1016/j.radonc.2017.11.025] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2017] [Revised: 11/11/2017] [Accepted: 11/26/2017] [Indexed: 01/05/2023]
Abstract
BACKGROUND AND PURPOSE Hypoxia is a known prognostic factor in head and neck cancer. Hypoxia imaging PET radiotracers such as 18F-FMISO are promising but not widely available. The aim of this study was therefore to design a surrogate for 18F-FMISO TBRmax based on 18F-FDG PET and contrast-enhanced CT radiomics features, and to study its performance in the context of hypoxia-based patient stratification. METHODS 121 lesions from 75 head and neck cancer patients were used in the analysis. Patients received pre-treatment 18F-FDG and 18F-FMISO PET/CT scans. 79 lesions were used to train a cross-validated LASSO regression model based on radiomics features, while the remaining 42 were held out as an internal test subset. RESULTS In the training subset, the highest AUC (0.873±0.008) was obtained from a signature combining CT and 18F-FDG PET features. The best performance on the unseen test subset was also obtained from the combined signature, with an AUC of 0.833, while the model based on the 90th percentile of 18F-FDG uptake had a test AUC of 0.756. CONCLUSION A radiomics signature built from 18F-FDG PET and contrast-enhanced CT features correlates with 18F-FMISO TBRmax in head and neck cancer patients, providing significantly better performance with respect to models based on 18F-FDG PET only. Such a biomarker could potentially be useful to personalize head and neck cancer treatment at centers for which dedicated hypoxia imaging PET radiotracers are unavailable.
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Affiliation(s)
- Mireia Crispin-Ortuzar
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, USA; Cancer Research UK Cambridge Institute, University of Cambridge, UK.
| | - Aditya Apte
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, USA
| | - Milan Grkovski
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, USA
| | - Jung Hun Oh
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, USA
| | - Nancy Y Lee
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, USA
| | - Heiko Schöder
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, USA
| | - John L Humm
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, USA
| | - Joseph O Deasy
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, USA
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Foster CC, Melotek JM, Brisson RJ, Seiwert TY, Cohen EEW, Stenson KM, Blair EA, Portugal L, Gooi Z, Agrawal N, Vokes EE, Haraf DJ. Definitive chemoradiation for locally-advanced oral cavity cancer: A 20-year experience. Oral Oncol 2018; 80:16-22. [PMID: 29706184 DOI: 10.1016/j.oraloncology.2018.03.008] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2018] [Revised: 02/14/2018] [Accepted: 03/12/2018] [Indexed: 11/18/2022]
Abstract
OBJECTIVES Definitive chemoradiation (CRT) for oral cavity squamous cell carcinoma (OC-SCC) is often criticized for poor efficacy or toxicity. We describe a favorable 20-year experience of primary CRT for locally-advanced OC-SCC. MATERIALS AND METHODS Patients with locally-advanced, stage III/IV OC-SCC receiving primary concomitant CRT on protocols from 1994 to 2014 were analyzed. Chemotherapy included fluorouracil and hydroxyurea with other third agents. Radiotherapy (RT) was delivered once or twice daily to a maximum dose of 70-75 Gy. Intensity-modulated RT (IMRT) was exclusively used after 2004. Progression-free survival (PFS), overall survival (OS), locoregional control (LRC), and distant control (DC) were calculated by the Kaplan-Meier method and compared across treatment decades using the log-rank test. Rates of osteoradionecrosis (ORN) requiring surgery were compared across treatment decades using the Chi-square test. RESULTS 140 patients with locally-advanced OC-SCC were treated with definitive CRT. Of these, 75.7% had T3/T4 disease, 68.6% had ≥N2 nodal disease, and 91.4% had stage IV disease. Most common primary sites were oral tongue (47.9%) and floor of mouth (24.3%). Median follow-up was 5.7 years. Five-year OS, PFS, LRC, and DC were 63.2%, 58.7%, 78.6%, and 87.2%, respectively. Rates of ORN and long-term feeding tube dependence were 20.7% and 10.0%, respectively. Differences in LRC (P = 0.90), DC (P = 0.24), PFS (P = 0.38), OS (P = 0.10), or ORN (P = 0.38) were not significant across treatment decades. CONCLUSION Definitive CRT is a viable and feasible strategy for organ preservation for patients with locally-advanced OC-SCC.
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Affiliation(s)
- Corey C Foster
- Department of Radiation and Cellular Oncology, University of Chicago, 5758 S. Maryland Avenue, M/C 9006, Chicago, IL 60637, USA
| | - James M Melotek
- Department of Radiation and Cellular Oncology, University of Chicago, 5758 S. Maryland Avenue, M/C 9006, Chicago, IL 60637, USA
| | - Ryan J Brisson
- Oakland University William Beaumont School of Medicine, 586 Pioneer Drive, Rochester, MI 48309, USA
| | - Tanguy Y Seiwert
- Department of Medicine and Comprehensive Cancer Center, University of Chicago, 5841 S. Maryland Avenue, Chicago, IL 60637, USA
| | - Ezra E W Cohen
- Moores Cancer Center, University of California, San Diego, 3855 Health Sciences Drive, La Jolla, CA 92093, USA
| | - Kerstin M Stenson
- Department of Otolaryngology, Rush University, 1611 W. Harrison Street, Suite 550, Chicago, IL 60612, USA
| | - Elizabeth A Blair
- Department of Otolaryngology, University of Chicago, 5841 S. Maryland Avenue, Chicago, IL 60637, USA
| | - Louis Portugal
- Department of Otolaryngology, University of Chicago, 5841 S. Maryland Avenue, Chicago, IL 60637, USA
| | - Zhen Gooi
- Department of Otolaryngology, University of Chicago, 5841 S. Maryland Avenue, Chicago, IL 60637, USA
| | - Nishant Agrawal
- Department of Otolaryngology, University of Chicago, 5841 S. Maryland Avenue, Chicago, IL 60637, USA
| | - Everett E Vokes
- Department of Medicine and Comprehensive Cancer Center, University of Chicago, 5841 S. Maryland Avenue, Chicago, IL 60637, USA
| | - Daniel J Haraf
- Department of Radiation and Cellular Oncology, University of Chicago, 5758 S. Maryland Avenue, M/C 9006, Chicago, IL 60637, USA.
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29
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Gorphe P, Chekkoury Idrissi Y, Tao Y, Schernberg A, Ou D, Temam S, Casiraghi O, Blanchard P, Mirghani H. Anemia and neutrophil-to-lymphocyte ratio are prognostic in p16-positive oropharyngeal carcinoma treated with concurrent chemoradiation. PAPILLOMAVIRUS RESEARCH 2017; 5:32-37. [PMID: 29253748 PMCID: PMC5886959 DOI: 10.1016/j.pvr.2017.12.002] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/09/2017] [Revised: 12/06/2017] [Accepted: 12/09/2017] [Indexed: 12/11/2022]
Abstract
OBJECTIVES We investigated the prognostic value of pre-treatment hematological parameters in patients with p16-positive oropharyngeal squamous-cell carcinoma (OPSCC). MATERIAL AND METHODS Neutrophil count, lymphocyte count, neutrophil-to-lymphocyte ratio (NLR), and hemoglobin concentration measurement (Hb), were collected on day one of treatment. Endpoints were overall survival (OS) and progression-free survival (PFS). All patients were planned to receive concurrent chemoradiation. Staging were reviewed according to the recent AJCC 8th edition. RESULTS We included 167 patients in this study. In multivariate analyses, a smoking history > 30 packyears was associated with decreased OS (p = 0.009; HR, 3.4827) and PFS (p = 0.042; HR, 2.421); Hb < 12g/dL was associated with impaired OS (p = 0.007; HR, 6.527) and PFS (p = 0.014; HR, 4.092); an NLR > 5 before treatment was associated with decreased OS (p = 0.042; HR, 2.945). Hemoglobin concentration and the NLR were not correlated (p = 0.577), nor anemia and an NLR > 5 (p = 0.167). Patients with an NLR > 5 had a significantly higher rate of disease recurrence (30.8% vs. 8.4%, p = 0.0299, RR = 3.922, 95% CI 1.351-11.386). DISCUSSION We found hemoglobin level and the NLR to be independent prognostic factors in p16-positive OPSCC patients. This approach is to be considered for further clinical investigations, and its significance in treatment decision-making should be further explored.
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Affiliation(s)
- Philippe Gorphe
- Department of Head and Neck Oncology, Gustave Roussy, Université Paris-Saclay, Villejuif, France.
| | - Younès Chekkoury Idrissi
- Department of Head and Neck Oncology, Gustave Roussy, Université Paris-Saclay, Villejuif, France
| | - Yungan Tao
- Department of Radiotherapy, Gustave Roussy, Université Paris-Saclay, Villejuif, France
| | - Antoine Schernberg
- Department of Radiotherapy, Gustave Roussy, Université Paris-Saclay, Villejuif, France
| | - Dan Ou
- Department of Radiotherapy, Gustave Roussy, Université Paris-Saclay, Villejuif, France
| | - Stéphane Temam
- Department of Head and Neck Oncology, Gustave Roussy, Université Paris-Saclay, Villejuif, France
| | - Odile Casiraghi
- Department of Pathology, Gustave Roussy, Université Paris-Saclay, Villejuif, France
| | - Pierre Blanchard
- Department of Radiotherapy, Gustave Roussy, Université Paris-Saclay, Villejuif, France
| | - Haïtham Mirghani
- Department of Head and Neck Oncology, Gustave Roussy, Université Paris-Saclay, Villejuif, France
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