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Combet-Curt V, Buchalet C, Le Malicot K, Lemanski C, Deshayes E, Bonichon-Lamichhane N, Lièvre A, Huguet F, Tlili G, Vendrely V. Prognostic Value of 18F-FDG PET/CT Assessment After Radiotherapy of Squamous Cell Carcinoma of the Anus in Patients from the National Multicentric Cohort FFCD-ANABASE. J Nucl Med 2024; 65:1194-1201. [PMID: 38936973 DOI: 10.2967/jnumed.124.267626] [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: 02/20/2024] [Accepted: 05/28/2024] [Indexed: 06/29/2024] Open
Abstract
This study aimed to evaluate the prognostic value of 18F-FDG PET/CT qualitative assessment in terms of recurrence-free survival (RFS), colostomy-free survival (CFS), and overall survival (OS) after radiation therapy (RT) of squamous cell carcinoma of the anus (SCCA). Secondary objectives were to evaluate the prognostic value of baseline and posttherapeutic quantitative 18F-FDG PET/CT parameters in terms of RFS, CFS, and OS. Methods: We included all consecutive patients from the French multicentric cohort FFCD-ANABASE who had undergone 18F-FDG PET/CT at baseline and 4-6 mo after RT or chemoradiotherapy for a localized SCCA. Qualitative assessments separated patients with complete metabolic response (CMR) and non-CMR. Quantitative parameters were measured on baseline and posttreatment 18F-FDG PET/CT. RFS, CFS, and OS were analyzed using the Kaplan-Meier method. Associations among qualitative assessments, quantitative parameters, and RFS, CFS, and OS were analyzed using univariate and multivariate Cox regression. Results: Among 1,015 patients treated between January 2015 and April 2020, 388 patients (300 women and 88 men) from 36 centers had undergone 18F-FDG PET/CT at diagnosis and after treatment. The median age was 65 y (range, 32-90 y); 147 patients (37.9%) had an early-stage tumor and 241 patients (62.1%) had a locally advanced-stage tumor; 59 patients (15.2%) received RT, and 329 (84.8%) received chemoradiotherapy. The median follow-up was 35.5 mo (95% CI, 32.8-36.6 mo). Patients with CMR had better 3-y RFS, CFS, and OS, at 84.2% (95% CI, 77.8%-88.9%), 84.7% (95% CI, 77.2%-89.3%), and 88.6% (95% CI, 82.5%-92.7%), respectively, than did non-CMR patients, at 42.1% (95% CI, 33.4%-50.6%), 47.9% (95% CI, 38.1%-56.8%), and 63.5 (95% CI, 53.2%-72.1%), respectively (P < 0.0001). Quantitative parameters were available for 154 patients from 3 centers. The following parameters were statistically significantly associated with 3-y RFS: baseline SUVmax (primitive tumor [T]) (hazard ratio [HR], 1.05 [95% CI, 1.01-1.1; P = 0.018]), SUVpeak (T) (HR, 1.09 [95% CI, 1.02-1.15; P = 0.007]), MTV 41% (T) (HR, 1.02 [95% CI, 1-1.03; P = 0.023]), MTV 41% (lymph node [N]) (HR, 1.06 [95% CI, 1.03-1.1; P < 0.001]), MTV 41% (T + N) (HR, 1.02 [95% CI, 1-1.03; P = 0.005]), and posttreatment SUVmax (HR, 1.21 [95% CI, 1.09-1.34; P < 0.001]). Conclusion: Treatment response assessed by 18F-FDG PET/CT after RT for SCCA has a significant prognostic value.18F-FDG PET/CT could be useful for adapting follow-up, especially for patients with locally advanced-stage tumors. Quantitative parameters could permit identification of patients with a worse prognosis but should be evaluated in further trials.
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Affiliation(s)
| | | | | | | | | | | | - Astrid Lièvre
- Hepatogastroenterology Department, CHU Rennes, Rennes, France
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Joseph K, Al Habsi Z, Abraham A, Elangovan A, Ghosh S, Pham T, Shreekumar D, Ramji Z, Paulson K, Tankel K, Usmani N, Severin D, Schiller D, Wong C, Mulder K, Karachiwala H, Doll C, King K, Nijjar T. A population-based analysis of the impact of 1 vs. 2 doses of mitomycin on patterns of failure of anal cancer patients treated with concurrent chemoradiotherapy. Radiother Oncol 2024; 196:110219. [PMID: 38479443 DOI: 10.1016/j.radonc.2024.110219] [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: 10/05/2023] [Revised: 02/27/2024] [Accepted: 03/06/2024] [Indexed: 05/06/2024]
Abstract
PURPOSE We report the impact of 1 vs. 2 doses of mitomycin-C (MMC) based chemoradiation (CRT) on patterns of treatment failure and long-term patient outcomes in anal squamous cell carcinoma (ASCC) and the predictors for locoregional failure (LRF) and distant metastasis (DM). METHODS In this population-based study, we identified all patients with anal cancer in our province treated radically with radiation and concurrent 5-Fluorouracil (5FU) and 1 vs. 2 doses of MMC between the years 2000-2019. The primary outcomes analyzed were locoregional recurrence (LRR), disease free survival (DFS), ASCC cancer-specific survival (ASCC-CSS) and overall survival (OS). RESULTS 451 patients were identified. 272 (60%) patients received 1 cycle of MMC (MMC1) and 179 (40%) received 2 cycles (MMC2) as part of the CRT regimen. The median follow-up was 57 (36-252) and 97 (38-239) months for MMC1 and MMC2, respectively. Cox Regression analysis showed stage IIIb and IIIc were associated with worse locoregional recurrence free survival (RFS) (HR=2.851, p=<0.001) and distant RFS (HR=3.391, p=<0.001). Similarly, stage IIIb and IIIc patients had poorer DFS (HR 3.439, p=<0.001), ASCC-SS (HR 3.729, p=<0.001) and OS (2.230, p=<0.001). The use of MMC2 showed a positive impact on improved ASCC-SS (HR 0.569, p=0.029) and distant RFS (HR 0.555, p=0.040) in patients with stage IIIb and IIIc. CONCLUSIONS Our analysis showed that 1 vs. 2 cycles of MMC along with 5FU and radiation is associated with comparable treatment outcomes in general. However, in patients with stage IIIb and IIIc cancer, 2 doses of MMC were associated with improved ASCC-SS and distant DFS.
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Affiliation(s)
- Kurian Joseph
- Division of Radiation Oncology, Department of Oncology, University of Alberta & Cross Cancer Institute, 11560 University Ave, Edmonton AB T6G 1Z2, Alberta, Canada.
| | - Zainab Al Habsi
- Division of Radiation Oncology, Department of Oncology, University of Alberta & Cross Cancer Institute, 11560 University Ave, Edmonton AB T6G 1Z2, Alberta, Canada
| | - Aswin Abraham
- Division of Radiation Oncology, Department of Oncology, University of Alberta & Cross Cancer Institute, 11560 University Ave, Edmonton AB T6G 1Z2, Alberta, Canada.
| | - Arun Elangovan
- Division of Radiation Oncology, Department of Oncology, University of Alberta & Cross Cancer Institute, 11560 University Ave, Edmonton AB T6G 1Z2, Alberta, Canada
| | - Sunita Ghosh
- Division of Medical Oncology, Department of Oncology, University of Alberta & Cross Cancer Institute, Edmonton, Alberta, Canada.
| | - TruongMinh Pham
- Cancer Research & Analytics, Alberta health services, Edmonton, Alberta, Canada
| | | | | | - Kim Paulson
- Division of Radiation Oncology, Department of Oncology, University of Alberta & Cross Cancer Institute, 11560 University Ave, Edmonton AB T6G 1Z2, Alberta, Canada
| | - Keith Tankel
- Division of Radiation Oncology, Department of Oncology, University of Alberta & Cross Cancer Institute, 11560 University Ave, Edmonton AB T6G 1Z2, Alberta, Canada
| | - Nawaid Usmani
- Division of Radiation Oncology, Department of Oncology, University of Alberta & Cross Cancer Institute, 11560 University Ave, Edmonton AB T6G 1Z2, Alberta, Canada
| | - Diane Severin
- Division of Radiation Oncology, Department of Oncology, University of Alberta & Cross Cancer Institute, 11560 University Ave, Edmonton AB T6G 1Z2, Alberta, Canada
| | - Dan Schiller
- Department of Surgical Oncology, Royal Alexandra Hospital, University of Alberta, Edmonton, Alberta, Canada
| | - Clarence Wong
- Division of Gastroenterology, Department of Medicine, University of Alberta, Edmonton, Canada
| | - Karen Mulder
- Division of Medical Oncology, Department of Oncology, University of Alberta & Cross Cancer Institute, Edmonton, Alberta, Canada
| | - Hatim Karachiwala
- Division of Radiation Oncology, Department of Oncology, University of Calgary & Tom Baker Cancer Centre, Calgary, Alberta, Canada
| | - Corinne Doll
- Division of Radiation Oncology, Department of Oncology, University of Calgary & Tom Baker Cancer Centre, Calgary, Alberta, Canada
| | - Karen King
- Division of Medical Oncology, Department of Oncology, University of Alberta & Cross Cancer Institute, Edmonton, Alberta, Canada
| | - Tirath Nijjar
- Division of Radiation Oncology, Department of Oncology, University of Alberta & Cross Cancer Institute, 11560 University Ave, Edmonton AB T6G 1Z2, Alberta, Canada
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Frood R, Mercer J, Brown P, Appelt A, Mistry H, Kochhar R, Scarsbrook A. Training and external validation of pre-treatment FDG PET-CT-based models for outcome prediction in anal squamous cell carcinoma. Eur Radiol 2024; 34:3194-3204. [PMID: 37924344 PMCID: PMC11126458 DOI: 10.1007/s00330-023-10340-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 08/20/2023] [Accepted: 08/24/2023] [Indexed: 11/06/2023]
Abstract
OBJECTIVES The incidence of anal squamous cell carcinoma (ASCC) is increasing worldwide, with a significant proportion of patients treated with curative intent having recurrence. The ability to accurately predict progression-free survival (PFS) and overall survival (OS) would allow for development of personalised treatment strategies. The aim of the study was to train and external test radiomic/clinical feature derived time-to-event prediction models. METHODS Consecutive patients with ASCC treated with curative intent at two large tertiary referral centres with baseline FDG PET-CT were included. Radiomic feature extraction was performed using LIFEx software on the pre-treatment PET-CT. Two distinct predictive models for PFS and OS were trained and tuned at each of the centres, with the best performing models externally tested on the other centres' patient cohort. RESULTS A total of 187 patients were included from centre 1 (mean age 61.6 ± 11.5 years, median follow up 30 months, PFS events = 57/187, OS events = 46/187) and 257 patients were included from centre 2 (mean age 62.6 ± 12.3 years, median follow up 35 months, PFS events = 70/257, OS events = 54/257). The best performing model for PFS and OS was achieved using a Cox regression model based on age and metabolic tumour volume (MTV) with a training c-index of 0.7 and an external testing c-index of 0.7 (standard error = 0.4). CONCLUSIONS A combination of patient age and MTV has been demonstrated using external validation to have the potential to predict OS and PFS in ASCC patients. CLINICAL RELEVANCE STATEMENT A Cox regression model using patients' age and metabolic tumour volume showed good predictive potential for progression-free survival in external testing. The benefits of a previous radiomics model published by our group could not be confirmed on external testing. KEY POINTS • A predictive model based on patient age and metabolic tumour volume showed potential to predict overall survival and progression-free survival and was validated on an external test cohort. • The methodology used to create a predictive model from age and metabolic tumour volume was repeatable using external cohort data. • The predictive ability of positron emission tomography-computed tomography-derived radiomic features diminished when the influence of metabolic tumour volume was accounted for.
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Affiliation(s)
- Russell Frood
- Department of Radiology, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
- Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK.
| | - Joseph Mercer
- Department of Radiology, The Christie NHS Foundation Trust, Manchester, UK
| | - Peter Brown
- Department of Radiology, York and Scarborough Teaching Hospitals NHS Foundation Trust, York, UK
| | - Ane Appelt
- Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK
| | - Hitesh Mistry
- Division of Pharmacy, University of Manchester, Manchester, UK
| | - Rohit Kochhar
- Department of Radiology, The Christie NHS Foundation Trust, Manchester, UK
| | - Andrew Scarsbrook
- Department of Radiology, Leeds Teaching Hospitals NHS Trust, Leeds, UK
- Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK
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Mirshahvalad SA, Mesci A, Murad V, Kohan A, Ortega C, Veit-Haibach P, Metser U. [ 18F]-FDG PET in anal canal cancer: a systematic review and meta-analysis. Eur J Nucl Med Mol Imaging 2023; 51:258-277. [PMID: 37592085 DOI: 10.1007/s00259-023-06393-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 08/06/2023] [Indexed: 08/19/2023]
Abstract
PURPOSE To provide comprehensive data on the diagnostic and prognostic value of [18F]-FDG PET (PET) in anal canal cancer patients. METHODS This study was designed following the PRISMA-DTA guidelines. For the meta-analysis, published original articles (until December 2022) that met the following criteria were included: Evaluated PET for locoregional and/or distant disease detection in patients with histopathology-proven anal canal cancer; Compared PET with a valid reference standard; Provided crude data to calculate meta-analytic estimates. Diagnostic measurements from subgroups were calculated in evaluating primary tumour detection, T stage, lymph node and distant metastases. Articles providing prognostic information on PET were also reported as a systematic review. For pooled meta-analytic calculations, the hierarchical method was used. The bivariate model was conducted to find the summary estimates. Analyses were performed using STATA 16. RESULTS After the screening, 28 studies were eligible to enter the meta-analytic calculations, and data from 15 were reported descriptively. For distinguishing T3/T4 from other T-stages, PET had pooled sensitivity and specificity of 91%(95%CI:72%-97%) and 96%(95%CI:88%-98%), respectively. The sensitivity and specificity for detecting metastatic (regional and/or distant) disease were 100% (95%CI:82%-100%) and 95% (95%CI:90%-98%), respectively. For therapy response assessment, the sensitivity and specificity of PET were 96%(95%CI:78%-99%) and 86%(95%CI:75%-93%), respectively. Higher pre-treatment total metabolic tumour volume was predictive of poorer survival. Conversely, for those achieving complete metabolic response, the 2-year PFS was 94%(95%CI:91%-97%) versus 51%(95%CI:42%-59%) for others (p-value < 0.001). CONCLUSION PET may be a useful tool for anal canal cancer therapy planning and provides valuable prognostic information.
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Affiliation(s)
- Seyed Ali Mirshahvalad
- Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital; Princess Margaret Cancer Centre, University Medical Imaging Toronto, 610 University Ave, Suite 3-920, Toronto, ON, M5G 2M9, Canada
- Department of Medical Imaging, University of Toronto, 263 McCaul St 4Th Floor, Toronto, ON, M5T 1W7, Canada
| | - Aruz Mesci
- Department of Radiation Oncology, University of Toronto, 149 College Street, Unit 504, Toronto, ON, M5T 1P5, Canada
| | - Vanessa Murad
- Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital; Princess Margaret Cancer Centre, University Medical Imaging Toronto, 610 University Ave, Suite 3-920, Toronto, ON, M5G 2M9, Canada
- Department of Medical Imaging, University of Toronto, 263 McCaul St 4Th Floor, Toronto, ON, M5T 1W7, Canada
| | - Andres Kohan
- Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital; Princess Margaret Cancer Centre, University Medical Imaging Toronto, 610 University Ave, Suite 3-920, Toronto, ON, M5G 2M9, Canada
- Department of Medical Imaging, University of Toronto, 263 McCaul St 4Th Floor, Toronto, ON, M5T 1W7, Canada
| | - Claudia Ortega
- Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital; Princess Margaret Cancer Centre, University Medical Imaging Toronto, 610 University Ave, Suite 3-920, Toronto, ON, M5G 2M9, Canada
- Department of Medical Imaging, University of Toronto, 263 McCaul St 4Th Floor, Toronto, ON, M5T 1W7, Canada
| | - Patrick Veit-Haibach
- Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital; Princess Margaret Cancer Centre, University Medical Imaging Toronto, 610 University Ave, Suite 3-920, Toronto, ON, M5G 2M9, Canada
- Department of Medical Imaging, University of Toronto, 263 McCaul St 4Th Floor, Toronto, ON, M5T 1W7, Canada
| | - Ur Metser
- Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital; Princess Margaret Cancer Centre, University Medical Imaging Toronto, 610 University Ave, Suite 3-920, Toronto, ON, M5G 2M9, Canada.
- Department of Medical Imaging, University of Toronto, 263 McCaul St 4Th Floor, Toronto, ON, M5T 1W7, Canada.
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Queiroz MA, Ortega CD, Ferreira FR, Capareli FC, Nahas SC, Cerri GG, Buchpiguel CA. Value of Primary Rectal Tumor PET/MRI in the Prediction of Synchronic Metastatic Disease. Mol Imaging Biol 2021; 24:453-463. [PMID: 34755248 DOI: 10.1007/s11307-021-01674-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Revised: 10/19/2021] [Accepted: 10/20/2021] [Indexed: 12/16/2022]
Abstract
PURPOSE To analyze the associations between positron emission tomography (PET)/magnetic resonance imaging (MRI) features for primary rectal tumors and metastases. PROCEDURES Between November 2016 and April 2018, 101 patients with rectal adenocarcinoma were included in this prospective study (NCT02537340) for whole-body PET/MRI for baseline staging. Two readers analyzed the PET/MRI; they assessed the semiquantitative PET features of the primary tumor and the N- and M-stages. Another reader analyzed the MRI features for locoregional staging. The reference standard for confirming metastatic disease was biopsy or imaging follow-up. Non-parametric tests were used to compare the PET/MRI features of the participants with or without metastatic disease. Binary logistic regression was used to evaluate the associations between the primary tumor PET/MRI features and metastatic disease. RESULTS A total of 101 consecutive participants (median age 62 years; range: 33-87 years) were included. Metastases were detected in 35.6% (36 of 101) of the participants. Among the PET/MRI features, higher tumor lesion glycolysis (352.95 vs 242.70; P = .46) and metabolic tumor volume (36.15 vs 26.20; P = .03) were more frequent in patients with than in those without metastases. Additionally, patients with metastases had a higher incidence of PET-positive (64% vs 32%; P = .009) and MRI-positive (56% vs 32%; P = .03) mesorectal lymph nodes, extramural vascular invasion (86% vs 49%; P > .001), and involvement of mesorectal fascia (64% vs 42%; P = .04); there were also differences between the mrT stages of these two groups (P = .008). No differences in the maximum standardized uptake values for the primary tumors in patients with and without metastases were observed (18.9 vs 19.1; P = .56). Multivariable logistic regression showed that extramural vascular invasion on MRI was the only significant predictor (adjusted odds ratio, 3.8 [95% CI: 1.1, 13.9]; P = .001). CONCLUSION PET/MRI facilitated the identification of participants with a high risk of metastatic disease, though these findings were based mainly on MRI features.
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Affiliation(s)
- Marcelo A Queiroz
- Nuclear Medicine Division, Department of Radiology and Oncology, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Rua Doutor Ovidio Pires de Campos, 872, Sao Paulo, SP, 05403-010, Brazil.
| | - Cinthia D Ortega
- Department of Radiology and Oncology, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Felipe R Ferreira
- Department of Radiology and Oncology, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Fernanda C Capareli
- Department of Radiology and Oncology, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Sergio C Nahas
- Department of Surgery, Division of Colorectal Surgery, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Giovanni G Cerri
- Department of Radiology and Oncology, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Carlos A Buchpiguel
- Nuclear Medicine Division, Department of Radiology and Oncology, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Rua Doutor Ovidio Pires de Campos, 872, Sao Paulo, SP, 05403-010, Brazil
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6
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Lapa C, Nestle U, Albert NL, Baues C, Beer A, Buck A, Budach V, Bütof R, Combs SE, Derlin T, Eiber M, Fendler WP, Furth C, Gani C, Gkika E, Grosu AL, Henkenberens C, Ilhan H, Löck S, Marnitz-Schulze S, Miederer M, Mix M, Nicolay NH, Niyazi M, Pöttgen C, Rödel CM, Schatka I, Schwarzenboeck SM, Todica AS, Weber W, Wegen S, Wiegel T, Zamboglou C, Zips D, Zöphel K, Zschaeck S, Thorwarth D, Troost EGC. Value of PET imaging for radiation therapy. Strahlenther Onkol 2021; 197:1-23. [PMID: 34259912 DOI: 10.1007/s00066-021-01812-2] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 06/09/2021] [Indexed: 12/13/2022]
Abstract
This comprehensive review written by experts in their field gives an overview on the current status of incorporating positron emission tomography (PET) into radiation treatment planning. Moreover, it highlights ongoing studies for treatment individualisation and per-treatment tumour response monitoring for various primary tumours. Novel tracers and image analysis methods are discussed. The authors believe this contribution to be of crucial value for experts in the field as well as for policy makers deciding on the reimbursement of this powerful imaging modality.
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Affiliation(s)
- Constantin Lapa
- Nuclear Medicine, Medical Faculty, University of Augsburg, Augsburg, Germany
| | - Ursula Nestle
- Department of Radiation Oncology, Faculty of Medicine, University Medical Center Freiburg, Freiburg, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, Freiburg, Germany
- Department of Radiation Oncology, Kliniken Maria Hilf, Mönchengladbach, Germany
| | - Nathalie L Albert
- Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany
| | - Christian Baues
- Department of Radiation Oncology, Cyberknife and Radiotherapy, Medical Faculty, University Hospital Cologne, Cologne, Germany
| | - Ambros Beer
- Department of Nuclear Medicine, Ulm University Hospital, Ulm, Germany
| | - Andreas Buck
- Department of Nuclear Medicine, University Hospital Würzburg, Würzburg, Germany
| | - Volker Budach
- Department of Radiation Oncology, Charité Universitätsmedizin Berlin, Campus Virchow-Klinikum, Berlin, Germany
| | - Rebecca Bütof
- Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- OncoRay-National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany
| | - Stephanie E Combs
- German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany
- Department of Radiation Oncology, Technical University of Munich (TUM), Klinikum rechts der Isar, Munich, Germany
- Department of Radiation Sciences (DRS), Institute of Radiation Medicine (IRM), Neuherberg, Germany
| | - Thorsten Derlin
- Department of Nuclear Medicine, Hannover Medical School, Hannover, Germany
| | - Matthias Eiber
- Department of Nuclear Medicine, Technical University of Munich (TUM), Klinikum rechts der Isar, Munich, Germany
| | - Wolfgang P Fendler
- Department of Nuclear Medicine, University of Duisburg-Essen and German Cancer Consortium (DKTK)-University Hospital Essen, Essen, Germany
| | - Christian Furth
- Department of Nuclear Medicine, Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany
| | - Cihan Gani
- German Cancer Consortium (DKTK), Partner Site Tübingen, and German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Radiation Oncology, University of Tübingen, Tübingen, Germany
| | - Eleni Gkika
- Department of Radiation Oncology, Faculty of Medicine, University Medical Center Freiburg, Freiburg, Germany
| | - Anca-L Grosu
- Department of Radiation Oncology, Faculty of Medicine, University Medical Center Freiburg, Freiburg, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, Freiburg, Germany
| | - Christoph Henkenberens
- Department of Radiotherapy and Special Oncology, Medical School Hannover, Hannover, Germany
| | - Harun Ilhan
- Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany
| | - Steffen Löck
- Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- OncoRay-National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany
| | - Simone Marnitz-Schulze
- Department of Radiation Oncology, Cyberknife and Radiotherapy, Medical Faculty, University Hospital Cologne, Cologne, Germany
| | - Matthias Miederer
- Department of Nuclear Medicine, University Hospital Mainz, Mainz, Germany
| | - Michael Mix
- Department of Nuclear Medicine, Faculty of Medicine, Medical Center, University of Freiburg, Freiburg, Germany
| | - Nils H Nicolay
- Department of Radiation Oncology, Faculty of Medicine, University Medical Center Freiburg, Freiburg, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, Freiburg, Germany
| | - Maximilian Niyazi
- Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany
| | - Christoph Pöttgen
- Department of Radiation Oncology, West German Cancer Centre, University of Duisburg-Essen, Essen, Germany
| | - Claus M Rödel
- German Cancer Consortium (DKTK), Partner Site Frankfurt, and German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Radiotherapy and Oncology, Goethe-University Frankfurt, Frankfurt, Germany
| | - Imke Schatka
- Department of Nuclear Medicine, Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany
| | | | - Andrei S Todica
- Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany
| | - Wolfgang Weber
- Department of Nuclear Medicine, Technical University of Munich (TUM), Klinikum rechts der Isar, Munich, Germany
| | - Simone Wegen
- Department of Radiation Oncology, Cyberknife and Radiotherapy, Medical Faculty, University Hospital Cologne, Cologne, Germany
| | - Thomas Wiegel
- Department of Radiation Oncology, Ulm University Hospital, Ulm, Germany
| | - Constantinos Zamboglou
- Department of Radiation Oncology, Faculty of Medicine, University Medical Center Freiburg, Freiburg, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, Freiburg, Germany
| | - Daniel Zips
- German Cancer Consortium (DKTK), Partner Site Tübingen, and German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Radiation Oncology, University of Tübingen, Tübingen, Germany
| | - Klaus Zöphel
- OncoRay-National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany
- National Center for Tumor Diseases (NCT), Partner Site Dresden, Germany: German Cancer Research Center (DKFZ), Heidelberg, Germany, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany, Helmholtz Association/Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Dresden, Germany
- German Cancer Consortium (DKTK), Partner Site Dresden, and German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Nuclear Medicine, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- Department of Nuclear Medicine, Klinikum Chemnitz gGmbH, Chemnitz, Germany
| | - Sebastian Zschaeck
- Department of Radiation Oncology, Charité-Universitätsmedizin Berlin, Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany
| | - Daniela Thorwarth
- German Cancer Consortium (DKTK), Partner Site Tübingen, and German Cancer Research Center (DKFZ), Heidelberg, Germany
- Section for Biomedical Physics, Department of Radiation Oncology, University of Tübingen, Tübingen, Germany
| | - Esther G C Troost
- Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.
- OncoRay-National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany.
- National Center for Tumor Diseases (NCT), Partner Site Dresden, Germany: German Cancer Research Center (DKFZ), Heidelberg, Germany, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany, Helmholtz Association/Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Dresden, Germany.
- German Cancer Consortium (DKTK), Partner Site Dresden, and German Cancer Research Center (DKFZ), Heidelberg, Germany.
- Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiooncology-OncoRay, Dresden, Germany.
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7
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Lapa C, Nestle U, Albert NL, Baues C, Beer A, Buck A, Budach V, Bütof R, Combs SE, Derlin T, Eiber M, Fendler WP, Furth C, Gani C, Gkika E, Grosu AL, Henkenberens C, Ilhan H, Löck S, Marnitz-Schulze S, Miederer M, Mix M, Nicolay NH, Niyazi M, Pöttgen C, Rödel CM, Schatka I, Schwarzenboeck SM, Todica AS, Weber W, Wegen S, Wiegel T, Zamboglou C, Zips D, Zöphel K, Zschaeck S, Thorwarth D, Troost EGC. Value of PET imaging for radiation therapy. Nuklearmedizin 2021; 60:326-343. [PMID: 34261141 DOI: 10.1055/a-1525-7029] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
This comprehensive review written by experts in their field gives an overview on the current status of incorporating positron emission tomography (PET) into radiation treatment planning. Moreover, it highlights ongoing studies for treatment individualisation and per-treatment tumour response monitoring for various primary tumours. Novel tracers and image analysis methods are discussed. The authors believe this contribution to be of crucial value for experts in the field as well as for policy makers deciding on the reimbursement of this powerful imaging modality.
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Affiliation(s)
- Constantin Lapa
- Nuclear Medicine, Medical Faculty, University of Augsburg, Augsburg, Germany
| | - Ursula Nestle
- Department of Radiation Oncology, Faculty of Medicine, University Medical Center Freiburg, Freiburg, Germany.,German Cancer Consortium (DKTK), Partner Site Freiburg, Freiburg, Germany.,Department of Radiation Oncology, Kliniken Maria Hilf, Mönchengladbach, Germany
| | - Nathalie L Albert
- Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany
| | - Christian Baues
- Department of Radiation Oncology, Cyberknife and Radiotherapy, Medical Faculty, University Hospital Cologne, Cologne, Germany
| | - Ambros Beer
- Department of Nuclear Medicine, Ulm University Hospital, Ulm, Germany
| | - Andreas Buck
- Department of Nuclear Medicine, University Hospital Würzburg, Würzburg, Germany
| | - Volker Budach
- Department of Radiation Oncology, Charité-Universitätsmedizin Berlin, Campus Virchow-Klinikum, Berlin, Germany
| | - Rebecca Bütof
- Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.,OncoRay - National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany
| | - Stephanie E Combs
- German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany.,Department of Radiation Oncology, Technical University of Munich (TUM), Klinikum rechts der Isar, Munich, Germany.,Department of Radiation Sciences (DRS), Institute of Radiation Medicine (IRM), Neuherberg, Germany
| | - Thorsten Derlin
- Department of Nuclear Medicine, Hannover Medical School, Germany
| | - Matthias Eiber
- Department of Nuclear Medicine, Technical University of Munich (TUM), Klinikum rechts der Isar, Munich, Germany
| | - Wolfgang P Fendler
- Department of Nuclear Medicine, University of Duisburg-Essen and German Cancer Consortium (DKTK)-University Hospital Essen, Essen, Germany
| | - Christian Furth
- Department of Nuclear Medicine, Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany
| | - Cihan Gani
- German Cancer Consortium (DKTK), Partner Site Tübingen, and German Cancer Research Center (DKFZ), Heidelberg, Germany.,Department of Radiation Oncology, University of Tübingen, Tübingen, Germany
| | - Eleni Gkika
- Department of Radiation Oncology, Faculty of Medicine, University Medical Center Freiburg, Freiburg, Germany
| | - Anca L Grosu
- Department of Radiation Oncology, Faculty of Medicine, University Medical Center Freiburg, Freiburg, Germany.,German Cancer Consortium (DKTK), Partner Site Freiburg, Freiburg, Germany
| | | | - Harun Ilhan
- Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany
| | - Steffen Löck
- Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.,OncoRay - National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany
| | - Simone Marnitz-Schulze
- Department of Radiation Oncology, Cyberknife and Radiotherapy, Medical Faculty, University Hospital Cologne, Cologne, Germany
| | - Matthias Miederer
- Department of Nuclear Medicine, University Hospital Mainz, Mainz, Germany
| | - Michael Mix
- Department of Nuclear Medicine, Faculty of Medicine, Medical Center, University of Freiburg, Freiburg, Germany
| | - Nils H Nicolay
- Department of Radiation Oncology, Faculty of Medicine, University Medical Center Freiburg, Freiburg, Germany.,German Cancer Consortium (DKTK), Partner Site Freiburg, Freiburg, Germany
| | - Maximilian Niyazi
- Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany.,German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany
| | - Christoph Pöttgen
- Department of Radiation Oncology, West German Cancer Centre, University of Duisburg-Essen, Essen, Germany
| | - Claus M Rödel
- German Cancer Consortium (DKTK), Partner Site Frankfurt, and German Cancer Research Center (DKFZ), Heidelberg, Germany.,Department of Radiotherapy and Oncology, Goethe University Frankfurt, Frankfurt, Germany
| | - Imke Schatka
- Department of Nuclear Medicine, Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany
| | | | - Andrei S Todica
- Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany
| | - Wolfgang Weber
- Department of Nuclear Medicine, Technical University of Munich (TUM), Klinikum rechts der Isar, Munich, Germany
| | - Simone Wegen
- Department of Radiation Oncology, Cyberknife and Radiotherapy, Medical Faculty, University Hospital Cologne, Cologne, Germany
| | - Thomas Wiegel
- Department of Radiation Oncology, Ulm University Hospital, Ulm, Germany
| | - Constantinos Zamboglou
- Department of Radiation Oncology, Faculty of Medicine, University Medical Center Freiburg, Freiburg, Germany.,German Cancer Consortium (DKTK), Partner Site Freiburg, Freiburg, Germany
| | - Daniel Zips
- German Cancer Consortium (DKTK), Partner Site Tübingen, and German Cancer Research Center (DKFZ), Heidelberg, Germany.,Department of Radiation Oncology, University of Tübingen, Tübingen, Germany
| | - Klaus Zöphel
- OncoRay - National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany.,National Center for Tumor Diseases (NCT), Partner Site Dresden, Germany: German Cancer Research Center (DKFZ), Heidelberg, Germany; Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany; Helmholtz Association/Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Dresden, Germany.,German Cancer Consortium (DKTK), Partner Site Dresden, and German Cancer Research Center (DKFZ), Heidelberg, Germany.,Department of Nuclear Medicine, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.,Department of Nuclear Medicine, Klinikum Chemnitz gGmbH, Chemnitz, Germany
| | - Sebastian Zschaeck
- Department of Radiation Oncology, Charité-Universitätsmedizin Berlin, Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany
| | - Daniela Thorwarth
- German Cancer Consortium (DKTK), Partner Site Tübingen, and German Cancer Research Center (DKFZ), Heidelberg, Germany.,Section for Biomedical Physics, Department of Radiation Oncology, University of Tübingen, Tübingen, Germany
| | - Esther G C Troost
- Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.,OncoRay - National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany.,National Center for Tumor Diseases (NCT), Partner Site Dresden, Germany: German Cancer Research Center (DKFZ), Heidelberg, Germany; Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany; Helmholtz Association/Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Dresden, Germany.,German Cancer Consortium (DKTK), Partner Site Dresden, and German Cancer Research Center (DKFZ), Heidelberg, Germany.,Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiooncology - OncoRay, Dresden, Germany
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8
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Role of 18F-FDG PET-derived parameters for predicting complete response to chemoradiotherapy in squamous cell anal carcinoma. Nucl Med Commun 2021; 41:1089-1094. [PMID: 32732599 DOI: 10.1097/mnm.0000000000001260] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
PURPOSE We aimed to evaluate the accuracy of metabolic parameters, calculated on pretreatment positron emission computed tomography (PET/CT) with fluorodeoxyglucose (F-FDG), for predicting complete response to chemoradiotherapy (CRT) of patients affected by squamous cell anal carcinoma (SCAC). PATIENTS AND METHODS Clinical records of 20 patients affected by SCAC and treated with CRT were retrospectively evaluated. F-FDG PET/CT was performed at time 0 (baseline) and time 1 (12 weeks after CRT). The following parameters were extracted from PET at time 0: standardized uptake values (SUVmax and SUVmean), metabolic tumor volume (MTV) and total lesion glycolysis (TLG). Response was assessed according to PET response criteria in solid tumors and classified as complete metabolic response (CMR), partial metabolic response (PMR) and progressive metabolic disease (PMD). Receiver operating characteristic analysis was performed to analyze the predictive value of each PET-derived parameter on CMR. RESULTS Sixteen patients were finally enrolled. All presented increased F-FDG uptake in the primary tumor and 11 (68.7%) also showed metastatic lymph nodes. At PET/CT performed at time 1, 11 subjects (68.7%) presented CMR, three (18.7%) had PMR and the remaining two (12.5%) showed PMD (i.e. hepatic metastases). Among baseline PET-derived parameters, both MTV and TLG efficiently predicted response to CRT with an area under the curve of 0.9 (cutoff 62.3 cm, sensitivity 80%, specificity 100%, P = <0.0001) and 0.87 (cutoff 654.1 g, sensitivity 80%, specificity 100%, P = 0.004), respectively. CONCLUSION Among PET-derived parameters, both MTV and TLG presented a high predictive value on subjects' outcome after CRT.
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Kersting D, Seifert R, Kessler L, Herrmann K, Theurer S, Brandenburg T, Dralle H, Weber F, Umutlu L, Führer-Sakel D, Görges R, Rischpler C, Weber M. Predictive Factors for RAI-Refractory Disease and Short Overall Survival in PDTC. Cancers (Basel) 2021; 13:cancers13071728. [PMID: 33917322 PMCID: PMC8038667 DOI: 10.3390/cancers13071728] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 03/25/2021] [Accepted: 03/30/2021] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND The clinical phenotype of poorly differentiated thyroid cancer (PDTC) can vary substantially. We aim to evaluate risk factors for radioiodine refractory (RAI-R) disease and reduced overall survival (OS). METHODS We retrospectively screened our institutional database for PDTC patients. For the assessment of RAI-R disease, we included patients who underwent dual imaging with 18F-FDG-PET and 124I-PET/131I scintigraphy that met the internal standard of care. We tested primary size, extrathyroidal extension (ETE), and age >55 years as risk factors for RAI-R disease at initial diagnosis and during the disease course using uni- and multivariate analyses. We tested metabolic tumor volume (MTV), total lesion glycolysis (TLG) on 18F-FDG-PET, and the progression of stimulated thyroglobulin within 4-6 months of initial radioiodine therapy as prognostic markers for OS. RESULTS Size of primary >40 mm and ETE were significant predictors of RAI-R disease in the course of disease in univariate (81% vs. 27%, p = 0.001; 89% vs. 33%, p < 0.001) and multivariate analyses. Primary tumor size was an excellent predictor of RAI-R disease (AUC = 0.90). TLG/MTV > upper quartile and early thyroglobulin progression were significantly associated with shorter median OS (29.0 months vs. 56.9 months, p < 0.05; 57.8 months vs. not reached p < 0.005, respectively). DISCUSSION PDTC patients, especially those with additional risk factors, should be assessed for RAI-R disease at initial diagnosis and in the course of disease, allowing for early implementation of multimodal treatment. Primary tumor size >40 mm, ETE, and age >55 are significant risk factors for RAI-R disease. High MTV/TLG is a significant risk factor for premature death and can help identify patients requiring intervention.
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Affiliation(s)
- David Kersting
- Department of Nuclear Medicine, University Hospital Essen, University Duisburg-Essen, Hufelandstraße 55, 45147 Essen, Germany; (D.K.); (R.S.); (L.K.); (K.H.); (R.G.); (C.R.)
| | - Robert Seifert
- Department of Nuclear Medicine, University Hospital Essen, University Duisburg-Essen, Hufelandstraße 55, 45147 Essen, Germany; (D.K.); (R.S.); (L.K.); (K.H.); (R.G.); (C.R.)
| | - Lukas Kessler
- Department of Nuclear Medicine, University Hospital Essen, University Duisburg-Essen, Hufelandstraße 55, 45147 Essen, Germany; (D.K.); (R.S.); (L.K.); (K.H.); (R.G.); (C.R.)
| | - Ken Herrmann
- Department of Nuclear Medicine, University Hospital Essen, University Duisburg-Essen, Hufelandstraße 55, 45147 Essen, Germany; (D.K.); (R.S.); (L.K.); (K.H.); (R.G.); (C.R.)
| | - Sarah Theurer
- Institute of Pathology, University Hospital Essen, University Duisburg-Essen, Hufelandstraße 55, 45147 Essen, Germany;
| | - Tim Brandenburg
- Department of Endocrinology and Metabolism, Division of Laboratory Research, University Hospital Essen, University Duisburg-Essen, Hufelandstraße 55, 45147 Essen, Germany; (T.B.); (D.F.-S.)
| | - Henning Dralle
- Department of General, Visceral and Transplantation Surgery, Section of Endocrine Surgery, University of Duisburg-Essen, Hufelandstraße 55, 45147 Essen, Germany; (H.D.); (F.W.)
| | - Frank Weber
- Department of General, Visceral and Transplantation Surgery, Section of Endocrine Surgery, University of Duisburg-Essen, Hufelandstraße 55, 45147 Essen, Germany; (H.D.); (F.W.)
| | - Lale Umutlu
- Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, University Duisburg-Essen, Hufelandstraße 55, 45147 Essen, Germany;
| | - Dagmar Führer-Sakel
- Department of Endocrinology and Metabolism, Division of Laboratory Research, University Hospital Essen, University Duisburg-Essen, Hufelandstraße 55, 45147 Essen, Germany; (T.B.); (D.F.-S.)
| | - Rainer Görges
- Department of Nuclear Medicine, University Hospital Essen, University Duisburg-Essen, Hufelandstraße 55, 45147 Essen, Germany; (D.K.); (R.S.); (L.K.); (K.H.); (R.G.); (C.R.)
| | - Christoph Rischpler
- Department of Nuclear Medicine, University Hospital Essen, University Duisburg-Essen, Hufelandstraße 55, 45147 Essen, Germany; (D.K.); (R.S.); (L.K.); (K.H.); (R.G.); (C.R.)
| | - Manuel Weber
- Department of Nuclear Medicine, University Hospital Essen, University Duisburg-Essen, Hufelandstraße 55, 45147 Essen, Germany; (D.K.); (R.S.); (L.K.); (K.H.); (R.G.); (C.R.)
- Correspondence: ; Tel.: +49-201-723-2032; Fax: +49-201-723-5658
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10
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Sekhar H, Kochhar R, Carrington B, Kaye T, Tolan D, Saunders MP, Sperrin M, Sebag-Montefiore D, van Herk M, Renehan AG. Three-dimensional (3D) magnetic resonance volume assessment and loco-regional failure in anal cancer: early evaluation case-control study. BMC Cancer 2020; 20:1165. [PMID: 33256671 PMCID: PMC7706015 DOI: 10.1186/s12885-020-07613-7] [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: 07/15/2020] [Accepted: 11/03/2020] [Indexed: 11/23/2022] Open
Abstract
Background The primary aim was to test the hypothesis that deriving pre-treatment 3D magnetic resonance tumour volume (mrTV) quantification improves performance characteristics for the prediction of loco-regional failure compared with standard maximal tumour diameter (1D) assessment in patients with squamous cell carcinoma of the anus undergoing chemoradiotherapy. Methods We performed an early evaluation case-control study at two UK centres (2007–2014) in 39 patients with loco-regional failure (cases), and 41 patients disease-free at 3 years (controls). mrTV was determined using the summation of areas method (Volsum). Reproducibility was assessed using intraclass concordance correlation (ICC) and Bland-Altman limits of agreements. We derived receiver operating curves using logistic regression models and expressed accuracy as area under the curve (ROCAUC). Results The median time per patient for Volsum quantification was 7.00 (inter-quartile range, IQR: 0.57–12.48) minutes. Intra and inter-observer reproducibilities were generally good (ICCs from 0.79 to 0.89) but with wide limits of agreement (intra-observer: − 28 to 31%; inter-observer: − 28 to 46%). Median mrTVs were greater for cases (32.6 IQR: 21.5–53.1 cm3) than controls (9.9 IQR: 5.7–18.1 cm3, p < 0.0001). The ROCAUC for mrT-size predicting loco-regional failure was 0.74 (95% CI: 0.63–0.85) improving to 0.82 (95% CI: 0.72–0.92) when replaced with mrTV (test for ROC differences, p = 0.024). Conclusion Preliminary results suggest that the replacement of mrTV for mrT-size improves prediction of loco-regional failure after chemoradiotherapy for squamous cell carcinoma of the anus. However, mrTV calculation is time consuming and variation in its reproducibility are drawbacks with the current technology. Supplementary Information The online version contains supplementary material available at 10.1186/s12885-020-07613-7.
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Affiliation(s)
- Hema Sekhar
- Division of Molecular & Clinical Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Wilmslow Road, Manchester, M20 4BX, UK.
| | - Rohit Kochhar
- Department of Radiology, The Christie NHS Foundation Trust, Manchester, UK
| | | | - Thomas Kaye
- Department of Clinical Radiology, St James' University Hospital, Leeds, UK
| | - Damian Tolan
- Department of Clinical Radiology, St James' University Hospital, Leeds, UK
| | - Mark P Saunders
- Department of Clinical Oncology, The Christie NHS Foundation Trust, Manchester, UK
| | - Matthew Sperrin
- Division of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - David Sebag-Montefiore
- Leeds Institute of Cancer & Pathology, University of Leeds, St James' University Hospital, Leeds, UK
| | - Marcel van Herk
- Division of Molecular & Clinical Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Wilmslow Road, Manchester, M20 4BX, UK
| | - Andrew G Renehan
- Division of Molecular & Clinical Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Wilmslow Road, Manchester, M20 4BX, UK
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11
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Moussaddaq AS, Brochard C, Palard-Novello X, Garin E, Wallenhorst T, Le Balc’h E, Merlini L’heritier A, Grainville T, Siproudhis L, Lièvre A. Incidental anal 18fluorodeoxyglucose uptake: Should we further examine the patient? World J Clin Cases 2020; 8:3679-3690. [PMID: 32953844 PMCID: PMC7479548 DOI: 10.12998/wjcc.v8.i17.3679] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Revised: 05/15/2020] [Accepted: 08/01/2020] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND There are no studies on incidental anal 18F-fluorodeoxyglucose (18FDG) uptake.
AIM To assess the rate and aetiologies of incidental anal 18FDG uptake and to evaluate the correlation between 18FDG positron-emission tomography/computed tomography (PET/CT) parameters and the diagnosis of an anorectal disease.
METHODS The data from patients with incidental anal 18FDG uptake were retrospectively analysed. Patients who underwent anorectal examinations were identified and compared to those who did not undergo examinations. Patients who were offered treatment were then identified and compared to those who did not receive treatment.
RESULTS Among the 43020 18FDG PET/CT scans performed, 197 18FDG PET/CT scans of 146 patients (0.45%) reported incidental anal uptake. Among the 134 patients included, 48 (35.8%) patients underwent anorectal examinations, and anorectal diseases were diagnosed in 33 (69.0%) of these patients and treated in 18/48 (37.5%) patients. Among the examined patients, those with a pathology requiring treatment had significantly smaller metabolic volumes (MV) 30 and MV41 values and higher maximal and mean standardized uptake value measurements than those who did not require treatment.
CONCLUSION Incidental anal 18FDG uptake is rare, but a reliable anorectal diagnosis is commonly obtained when an anorectal examination is performed. The diagnosis of an anorectal disease induces treatment in more than one-third of the patients. These data should encourage practitioners to explore incidental anal 18FDG uptake systematically.
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Affiliation(s)
- Anne-Sophie Moussaddaq
- Department of Gastroenterology, University Hospital of Rennes, Pontchaillou, Rennes 35000, France
| | - Charlène Brochard
- Department of Gastroenterology, University Hospital of Rennes, Pontchaillou, Rennes 35000, France
- Inphy CIC 1414 University Hospital of Rennes, Pontchaillou, Rennes 35000, France
| | - Xavier Palard-Novello
- Department of Nuclear Medicine, Cancer Institute Eugène Marquis, Rennes 35000, France
| | - Etienne Garin
- Department of Nuclear Medicine, Cancer Institute Eugène Marquis, Rennes 35000, France
- Laboratoire Traitement du Signal et de l'Image-UMR1099, University of Rennes, Inserm, Rennes 35000, France
| | - Timothée Wallenhorst
- Department of Gastroenterology, University Hospital of Rennes, Pontchaillou, Rennes 35000, France
| | - Eric Le Balc’h
- Department of Gastroenterology, University Hospital of Rennes, Pontchaillou, Rennes 35000, France
| | | | - Thomas Grainville
- Department of Gastroenterology, University Hospital of Rennes, Pontchaillou, Rennes 35000, France
| | - Laurent Siproudhis
- Department of Gastroenterology, University Hospital of Rennes, Pontchaillou, Rennes 35000, France
- Inphy CIC 1414 University Hospital of Rennes, Pontchaillou, Rennes 35000, France
| | - Astrid Lièvre
- Department of Gastroenterology, University Hospital of Rennes, Pontchaillou, Rennes 35000, France
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12
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Braun L, Reinert C, Zips D, Nikolaou K, Pfannenberg C, Gani C. Treatment outcome after radiochemotherapy in anal cancer patients staged with 18F-FDG-PET-CT. Clin Transl Radiat Oncol 2020; 24:83-87. [PMID: 32642564 PMCID: PMC7334798 DOI: 10.1016/j.ctro.2020.06.008] [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: 04/06/2020] [Revised: 06/15/2020] [Accepted: 06/15/2020] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND Anal cancer (AC) is a malignancy with increasing incidence and commonly treated with radiochemotherapy. Positron-emission tomography-computed tomography (PET/CT) has been shown to improve treatment outcome in various oncological diseases, however, for AC long-term outcome data is sparse. The aim of the present study is therefore to report outcomes in our cohort of PET/CT staged AC patients treated with radiochemotherapy. METHODS Patients with AC who were treated with radiochemotherapy in curative intent were included in this retrospective study if a PET/CT scan was performed pre-therapeutically. Information from PET/CT was considered for nodal and primary target volume definition. Radiotherapy dose to the primary tumor was 50-66 Gy and concomitant chemotherapy included 5-fluorouracil and mitomycin-C. The uptake of 18F-fluorodeoxyglucose (FDG) was quantified using 50%-isocontour volumes of interests (VOIs) and measuring the standardized uptake value (SUV) and the metabolic tumor volume (MTV).18F-FDG uptake was correlated with baseline clinical parameters and long-term oncological outcome. Survival estimates were determined according to Kaplan-Meier. RESULTS A total of 60 patients were included in this study. Estimates for three-year overall survival (OS) and disease free survival (DFS) were 94.5% and 80%. Five patients developed local (n = 2) or locoregional and local (n = 3) failure. Baseline PET/CT related parameters correlated with primary tumor stage, nodal stage and tumor grading. DFS was independent of T-stage, N-stage and baseline 18F-FDG-uptake. CONCLUSION In this cohort of PET/CT staged AC patients, excellent outcomes for DFS were seen. PET-based markers of tumor burden correlate with local stage of AC, however, are not of prognostic relevance for disease-free survival.
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Affiliation(s)
- L.H. Braun
- Department of Radiation Oncology, University Hospital and Medical Faculty Tübingen, Eberhard Karls University Tübingen, Germany
- Klinik für Strahlentherapie und Palliativmedizin, Marienhospital Stuttgart, Germany
| | - C.P. Reinert
- Department of Diagnostic and Interventional Radiology, Eberhard Karls University Tubingen, Germany
| | - D. Zips
- Department of Radiation Oncology, University Hospital and Medical Faculty Tübingen, Eberhard Karls University Tübingen, Germany
- German Cancer Research Center (DKFZ) Heidelberg and German Consortium for Translational Cancer Research (DKTK), Partner Site Tübingen, Tübingen, Germany
| | - K. Nikolaou
- Department of Diagnostic and Interventional Radiology, Eberhard Karls University Tubingen, Germany
| | - C. Pfannenberg
- Department of Diagnostic and Interventional Radiology, Eberhard Karls University Tubingen, Germany
| | - C. Gani
- Department of Radiation Oncology, University Hospital and Medical Faculty Tübingen, Eberhard Karls University Tübingen, Germany
- German Cancer Research Center (DKFZ) Heidelberg and German Consortium for Translational Cancer Research (DKTK), Partner Site Tübingen, Tübingen, Germany
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13
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Le Thiec M, Testard A, Ferrer L, Guillerminet C, Morel O, Maucherat B, Rusu D, Girault S, Lacombe M, Hamidou H, Meyer VG, Rio E, Hiret S, Kraeber-Bodéré F, Campion L, Rousseau C. Prognostic Impact of Pretherapeutic FDG-PET in Localized Anal Cancer. Cancers (Basel) 2020; 12:E1512. [PMID: 32527039 PMCID: PMC7352672 DOI: 10.3390/cancers12061512] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2020] [Revised: 05/29/2020] [Accepted: 06/06/2020] [Indexed: 02/06/2023] Open
Abstract
Due to the heterogeneity of tumour mass segmentation methods and lack of consensus, our study evaluated the prognostic value of pretherapeutic positron emission tomography with fluorodeoxyglucose (FDG-PET) metabolic parameters using different segmentation methods in patients with localized anal squamous cell carcinoma (SCC). Eighty-one patients with FDG-PET before radiochemotherapy were retrospectively analyzed. Semiquantitative data were measured with three fixed thresholds (35%, 41% and 50% of Maximum Standardized Uptake Value (SUVmax)) and four segmentation methods based on iterative approaches (Black, Adaptive, Nestle and Fitting). Metabolic volumes of primary anal tumour (P-MTV) and total tumour load (T-MTV: P-MTV+ lymph node MTV) were calculated. The primary endpoint was event-free survival (EFS). Seven multivariate models were created to compare FDG-PET tumour volumes prognostic impact. For all segmentation thresholds, PET metabolic volume parameters were independent prognostic factor and T-MTV variable was consistently better associated with EFS than P-MTV. Patient's sex was an independent variable and significantly correlated with EFS. With fixed threshold segmentation methods, 35% of SUVmax threshold seemed better correlated with EFS and the best cut-off for discrimination between a low and high risk of event occurrence was 40 cm3. Determination of T-MTV by FDG-PET using fixed threshold segmentation is useful for predicting EFS for primary anal SCC. If these data are confirmed in larger studies, FDG-PET could contribute to individualized patient therapies.
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Affiliation(s)
- Maelle Le Thiec
- Nuclear Medicine Unit, ICO Cancer Center, 44805 Saint Herblain, France; (B.M.); (D.R.); (F.K.-B.); (C.R.)
| | - Aude Testard
- Nuclear Medicine Unit, ICO Cancer Center, 49055 Angers, France; (A.T.); (O.M.); (S.G.); (M.L.)
| | - Ludovic Ferrer
- Medical Physics Unit, ICO Cancer Center, 44805 Saint Herblain, France;
- CRCINA, University of Nantes and Angers, INSERM UMR1232, CNRS-ERL6001, 49055 Angers, France;
| | | | - Olivier Morel
- Nuclear Medicine Unit, ICO Cancer Center, 49055 Angers, France; (A.T.); (O.M.); (S.G.); (M.L.)
| | - Bruno Maucherat
- Nuclear Medicine Unit, ICO Cancer Center, 44805 Saint Herblain, France; (B.M.); (D.R.); (F.K.-B.); (C.R.)
| | - Daniela Rusu
- Nuclear Medicine Unit, ICO Cancer Center, 44805 Saint Herblain, France; (B.M.); (D.R.); (F.K.-B.); (C.R.)
| | - Sylvie Girault
- Nuclear Medicine Unit, ICO Cancer Center, 49055 Angers, France; (A.T.); (O.M.); (S.G.); (M.L.)
| | - Marie Lacombe
- Nuclear Medicine Unit, ICO Cancer Center, 49055 Angers, France; (A.T.); (O.M.); (S.G.); (M.L.)
| | - Hadji Hamidou
- Radiation Oncology Unit, ICO Cancer Center, 49055 Angers, France;
| | | | - Emmanuel Rio
- Radiation Oncology Unit, ICO Cancer Center, 44805 Saint Herblain, France;
| | - Sandrine Hiret
- Medical oncology Unit, ICO Cancer Center, 44805 Saint Herblain, France;
| | - Françoise Kraeber-Bodéré
- Nuclear Medicine Unit, ICO Cancer Center, 44805 Saint Herblain, France; (B.M.); (D.R.); (F.K.-B.); (C.R.)
- CRCINA, University of Nantes and Angers, INSERM UMR1232, CNRS-ERL6001, 49055 Angers, France;
| | - Loïc Campion
- CRCINA, University of Nantes and Angers, INSERM UMR1232, CNRS-ERL6001, 49055 Angers, France;
- Biometrics Unit, ICO Cancer Center, 44805 Saint Herblain, France
| | - Caroline Rousseau
- Nuclear Medicine Unit, ICO Cancer Center, 44805 Saint Herblain, France; (B.M.); (D.R.); (F.K.-B.); (C.R.)
- CRCINA, University of Nantes and Angers, INSERM UMR1232, CNRS-ERL6001, 49055 Angers, France;
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14
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Rudra S, Fuser D, DeWees TA, Wan L, Gang M, Hui CY, Rao YJ, Siegel BA, Dehdashti F, Mutch DG, Powell MA, Schwarz JK, Grigsby PW, Chen DL, Markovina S. Radiologic Assessment of Groin Lymph Nodes in Pelvic Malignancies. Int J Gynecol Cancer 2020; 30:947-953. [PMID: 32487684 DOI: 10.1136/ijgc-2020-001363] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2020] [Revised: 04/26/2020] [Accepted: 05/12/2020] [Indexed: 11/04/2022] Open
Abstract
INTRODUCTION Metastatic involvement of groin nodes can alter radiation therapy planning for pelvic tumors. 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography/computed tomography (PET/CT) can identify nodal metastases; however, interpretation of PET/CT-positive nodes can be complicated by non-malignant processes. We evaluated quantitative metrics as methods to identify groin metastases in patients with pelvic tumors by comparison with standard subjective interpretive criteria, with pathology as the reference standard. METHODS We retrospectively identified patients with vulvar, vaginal, or anal cancers who underwent 18F-FDG PET/CT before pathologic evaluation of groin nodes between 2007 and 2017. Because patho-radiologic correlation was not possible for every node, one index node identified on imaging was selected for each groin. For each index node, standardized uptake value measurements, total lesion glycolysis, metabolic tumor volume, CT-based volume, and short and long axes were measured. Multivariate logistic regression was used to identify metrics predictive for pathologically positive groins and generate a probabilistic model. Area under the receiver-operating characteristic curves (AUCs) for the model were compared with clinical interpretation from the diagnostic report via a Wald's χ2 test. RESULTS Of 55 patients identified for analysis, 75 groins had pathologic evaluation resulting in 75 index groin nodes for analysis with 35 groins pathologically positive for malignancy. Logistic regression identified mean standardized-uptake-value (50% threshold) and short-axis length as the most predictive imaging metrics for metastatic nodal involvement. The probabilistic model performed better at predicting pathologic involvement compared with standard clinical interpretation on analysis (AUC 0.91, 95% CI 0.84 to 0.97 vs 0.80, 95% CI 0.71 to 0.89; p<0.01). DISCUSSION Accuracy of 18F-FDG PET/CT for detecting groin nodal metastases in patients with pelvic tumors may be improved with the use of quantitative metrics. Improving prediction of nodal metastases can aid with appropriate selection of patients for pathologic node evaluation and guide radiation volumes and doses.
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Affiliation(s)
- Soumon Rudra
- Department of Radiation Oncology, Washington University in Saint Louis, Saint Louis, Missouri, USA
| | - Dominique Fuser
- Mallinckrodt Institute of Radiology, Washington University in Saint Louis, Saint Louis, Missouri, USA
| | - Todd A DeWees
- Division of Biomedical Statistics and Informatics, Mayo Clinic Arizona, Scottsdale, Arizona, USA
| | - Leping Wan
- Department of Radiation Oncology, Washington University in Saint Louis, Saint Louis, Missouri, USA
| | - Margery Gang
- Department of Radiation Oncology, Washington University in Saint Louis, Saint Louis, Missouri, USA
| | - Caressa Y Hui
- Department of Radiation Oncology, Washington University in Saint Louis, Saint Louis, Missouri, USA
| | - Yuan J Rao
- Department of Radiation Oncology, The George Washington University School of Medicine and Health Sciences, Washington, District of Columbia, USA
| | - Barry A Siegel
- Mallinckrodt Institute of Radiology, Washington University in Saint Louis, Saint Louis, Missouri, USA.,Alvin J Siteman Cancer Center, Washington University in Saint Louis, St. Louis, Missouri, USA
| | - Farrokh Dehdashti
- Mallinckrodt Institute of Radiology, Washington University in Saint Louis, Saint Louis, Missouri, USA.,Alvin J Siteman Cancer Center, Washington University in Saint Louis, St. Louis, Missouri, USA
| | - David G Mutch
- Alvin J Siteman Cancer Center, Washington University in Saint Louis, St. Louis, Missouri, USA.,Division of Gynecology Oncology, Department of Obstetrics and Gynecology, Washington University in Saint Louis, St. Louis, Missouri, USA
| | - Matthew A Powell
- Alvin J Siteman Cancer Center, Washington University in Saint Louis, St. Louis, Missouri, USA.,Division of Gynecology Oncology, Department of Obstetrics and Gynecology, Washington University in Saint Louis, St. Louis, Missouri, USA
| | - Julie K Schwarz
- Department of Radiation Oncology, Washington University in Saint Louis, Saint Louis, Missouri, USA.,Alvin J Siteman Cancer Center, Washington University in Saint Louis, St. Louis, Missouri, USA
| | - Perry W Grigsby
- Department of Radiation Oncology, Washington University in Saint Louis, Saint Louis, Missouri, USA.,Mallinckrodt Institute of Radiology, Washington University in Saint Louis, Saint Louis, Missouri, USA.,Alvin J Siteman Cancer Center, Washington University in Saint Louis, St. Louis, Missouri, USA
| | - Delphine L Chen
- Mallinckrodt Institute of Radiology, Washington University in Saint Louis, Saint Louis, Missouri, USA.,Department of Radiology, University of Washington, Seattle Cancer Care Alliance, Seattle, Washington, USA
| | - Stephanie Markovina
- Department of Radiation Oncology, Washington University in Saint Louis, Saint Louis, Missouri, USA .,Alvin J Siteman Cancer Center, Washington University in Saint Louis, St. Louis, Missouri, USA
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15
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Su W, Ren S, Zhu X, Zhang H, Zuo C. Standardized thresholds of volume-based PET/CT parameters predicting survival of patients with pancreatic head cancer treated with stereotactic body radiation therapy. Ann Nucl Med 2020; 34:379-387. [PMID: 32277421 DOI: 10.1007/s12149-020-01454-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Accepted: 02/04/2020] [Indexed: 01/08/2023]
Abstract
OBJECTIVE To explore standardized relative thresholds of volume-based parameters on FDG PET/CT, and define the optimal prognosticator among the relative thresholds for patients with locally advanced pancreatic head cancer (LAPHC) treated by stereotactic body radiation therapy (SBRT). METHODS Thirty-five patients with LAPHC were enrolled, and all underwent SBRT and baseline FDG PET/CT scan. Maximum standardized uptake value (SUVmax) was measured, and metabolic tumor volume (MTV) and total lesion glycolysis (TLG) were calculated under the relative (30%, 40%, and 50%) thresholds of SUVmax. Survival analysis was performed via univariate and multivariate analyses, and independent prognostic factors were determined by Cox proportional hazard models and corresponding survival curves and scatter diagram were drawn. RESULTS The median overall survival (OS) and progression-free survival (PFS) were 13.8 and 9.8 months, respectively. On univariate analysis, MTV(40%) < 5.6 cm3, accumulated dose (AD) ≥ 36 Gy and the absence of pancreatic duct (PD) stents were significantly correlated with both superior OS and PFS, TLG (40%) < 29.9 was related to better OS and biological effective dose (BED10) ≥ 57.6 Gy was related to better PFS (all with p < 0.05). Further, multivariate analysis demonstrated both MTV (40%) and AD were independent prognosticators for OS and PFS, and BED10 was an independent predictor for PFS (all with p < 0.05). Scatter diagram showed BED10 to be a stronger clinical prognosis predictor for PFS than AD. CONCLUSIONS MTV (40%) was the optimal prognosticator among the relative thresholds of SUVmax for tumor delineation on PET/CT for LAPHC patients receiving SBRT. AD was also favorable indicators for OS and PFS of patients, and BED10 was more sensitive than AD in predicting the PFS of patients.
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Affiliation(s)
- Weiwei Su
- Departments of Nuclear Medicine, Changhai Hospital Affiliated to the Second Military Medical University, Changhai Road 168, Yangpu District, Shanghai, 200433, People's Republic of China
| | - Shengnan Ren
- Departments of Nuclear Medicine, Changhai Hospital Affiliated to the Second Military Medical University, Changhai Road 168, Yangpu District, Shanghai, 200433, People's Republic of China
| | - Xiaofei Zhu
- Departments of Radiotherapy, Changhai Hospital Affiliated to the Second Military Medical University, Changhai Road 168, Yangpu District, Shanghai, 200433, People's Republic of China
| | - Huojun Zhang
- Departments of Radiotherapy, Changhai Hospital Affiliated to the Second Military Medical University, Changhai Road 168, Yangpu District, Shanghai, 200433, People's Republic of China.
| | - Changjing Zuo
- Departments of Nuclear Medicine, Changhai Hospital Affiliated to the Second Military Medical University, Changhai Road 168, Yangpu District, Shanghai, 200433, People's Republic of China.
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16
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Diagnostic performance and prognostic role of FDG PET/CT performed at staging in anal cancer. Clin Transl Imaging 2020. [DOI: 10.1007/s40336-020-00361-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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17
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Ren S, Zhu X, Zhang A, Li D, Zuo C, Zhang H. Prognostic value of 18F-FDG PET /CT metabolic parameters in patients with locally advanced pancreatic Cancer treated with stereotactic body radiation therapy. Cancer Imaging 2020; 20:22. [PMID: 32156306 PMCID: PMC7063714 DOI: 10.1186/s40644-020-00301-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Accepted: 03/02/2020] [Indexed: 02/07/2023] Open
Abstract
Background 18F-FDG PET/CT metabolic parameters have been applied as prognostic factors in multi-malignancies. However, the role in locally advanced pancreatic cancer (LAPC) was not confirmed. In this study, we investigated the prognostic value of 18F-FDG PET/CT metabolic parameters in LAPC patients treated with stereotactic body radiation therapy (SBRT). Methods Seventy three LAPC patients who received SBRT therapy and pre-treatment 18F-FDG PET/CT imaging from January 2012 to January 2016 were included in this retrospective study. The study aim was to evaluate the relationship between metabolic parameters with clinical factors, and the value of metabolic parameters in the prognosis of LAPC. The median of parameters was set as the cut-off value for statistical analysis. Univariate survival analysis was performed by the Kaplan Meier method and log-rank test, and multivariate analysis was carried out by a Cox proportional hazards model. Results Patients with lymph node metastasis or longer tumor diameters were associated with higher TLG (P < 0.05). Univariate analysis showed MTV, TLG, radiotherapy dose and chemotherapy were significantly associated with disease progression-free survival (PFS) and overall survival (OS) (P < 0.05). Lymph node metastasis and tumor longest diameter were associated with OS. Multivariate analysis demonstrated TLG, radiotherapy dose, and chemotherapy were independent factors of PFS and OS (HR: 2.307, 0.591, 0.572 and 2.145, 0.480, 0.471, P < 0.05). Conclusions TLG was found to be the independent prognostic factor of OS and PFS. Among clinical factors, radiotherapy dose and chemotherapy were independent prognostic factors of OS and PFS.
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Affiliation(s)
- Shengnan Ren
- Department of Nuclear Medicine, Shanghai Changhai Hospital, No. 168 Changhai Road, Shanghai, 200433, China
| | - Xiaofei Zhu
- Department of Radiation Oncology, Shanghai Changhai Hospital, No. 168 Changhai Road, Shanghai, 200433, China
| | - Anyu Zhang
- Department of Nuclear Medicine, Shanghai Changhai Hospital, No. 168 Changhai Road, Shanghai, 200433, China
| | - Danni Li
- Department of Nuclear Medicine, Shanghai Changhai Hospital, No. 168 Changhai Road, Shanghai, 200433, China
| | - Changjing Zuo
- Department of Nuclear Medicine, Shanghai Changhai Hospital, No. 168 Changhai Road, Shanghai, 200433, China.
| | - Huojun Zhang
- Department of Radiation Oncology, Shanghai Changhai Hospital, No. 168 Changhai Road, Shanghai, 200433, China.
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18
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Brown PJ, Zhong J, Frood R, Currie S, Gilbert A, Appelt AL, Sebag-Montefiore D, Scarsbrook A. Prediction of outcome in anal squamous cell carcinoma using radiomic feature analysis of pre-treatment FDG PET-CT. Eur J Nucl Med Mol Imaging 2019; 46:2790-2799. [PMID: 31482428 PMCID: PMC6879433 DOI: 10.1007/s00259-019-04495-1] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Accepted: 08/20/2019] [Indexed: 12/22/2022]
Abstract
PURPOSE Incidence of anal squamous cell carcinoma (ASCC) is increasing, with curative chemoradiotherapy (CRT) as the primary treatment of non-metastatic disease. A significant proportion of patients have locoregional treatment failure (LRF), but distant relapse is uncommon. Accurate prognostication of progression-free survival (PFS) would help personalisation of CRT regimens. The study aim was to evaluate novel imaging pre-treatment features, to prognosticate for PFS in ASCC. METHODS Consecutive patients with ASCC treated with curative intent at a large tertiary referral centre who underwent pre-treatment FDG-PET/CT were included. Radiomic feature extraction was performed using LIFEx software on baseline FDG-PET/CT. Outcome data (PFS) was collated from electronic patient records. Elastic net regularisation and feature selection were used for logistic regression model generation on a randomly selected training cohort and applied to a validation cohort using TRIPOD guidelines. ROC-AUC analysis was used to compare performance of a regression model encompassing standard clinical prognostic factors (age, sex, tumour and nodal stage-model A), a radiomic feature model (model B) and a combined radiomic/clinical model (model C). RESULTS A total of 189 patients were included in the study, with 145 in the training cohort and 44 in the validation cohort. Median follow-up was 35.1 and 37. 9 months, respectively for each cohort, with 70.3% and 68.2% reaching this time-point with PFS. GLCM entropy (a measure of randomness of distribution of co-occurring pixel grey-levels), NGLDM busyness (a measure of spatial frequency of changes in intensity between nearby voxels of different grey-level), minimum CT value (lowest HU within the lesion) and SMTV (a standardized version of MTV) were selected for inclusion in the prognostic model, alongside tumour and nodal stage. AUCs for performance of model A (clinical), B (radiomic) and C (radiomic/clinical) were 0.6355, 0.7403, 0.7412 in the training cohort and 0.6024, 0.6595, 0.7381 in the validation cohort. CONCLUSION Radiomic features extracted from pre-treatment FDG-PET/CT in patients with ASCC may provide better PFS prognosis than conventional staging parameters. With external validation, this might be useful to help personalise CRT regimens in the future.
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Affiliation(s)
- P J Brown
- Department of Clinical Radiology, Lincoln Wing, Leeds Teaching Hospitals NHS Trust, St James's University Hospital, Beckett Street, Leeds, LS9 7TF, UK.
| | - J Zhong
- Department of Clinical Radiology, Lincoln Wing, Leeds Teaching Hospitals NHS Trust, St James's University Hospital, Beckett Street, Leeds, LS9 7TF, UK
| | - R Frood
- Department of Clinical Radiology, Lincoln Wing, Leeds Teaching Hospitals NHS Trust, St James's University Hospital, Beckett Street, Leeds, LS9 7TF, UK
| | - S Currie
- Department of Clinical Radiology, Lincoln Wing, Leeds Teaching Hospitals NHS Trust, St James's University Hospital, Beckett Street, Leeds, LS9 7TF, UK
- Radiotherapy Research Group, Leeds Institute of Medical Research at St James's, Faculty of Medicine & Health, University of Leeds, Leeds, UK
| | - A Gilbert
- Radiotherapy Research Group, Leeds Institute of Medical Research at St James's, Faculty of Medicine & Health, University of Leeds, Leeds, UK
- Department of Clinical Oncology, Bexley Wing, Leeds Teaching Hospitals NHS Trust, St James's University Hospital, Beckett Street, Leeds, LS9 7TF, UK
| | - A L Appelt
- Radiotherapy Research Group, Leeds Institute of Medical Research at St James's, Faculty of Medicine & Health, University of Leeds, Leeds, UK
- Department of Clinical Oncology, Bexley Wing, Leeds Teaching Hospitals NHS Trust, St James's University Hospital, Beckett Street, Leeds, LS9 7TF, UK
| | - D Sebag-Montefiore
- Radiotherapy Research Group, Leeds Institute of Medical Research at St James's, Faculty of Medicine & Health, University of Leeds, Leeds, UK
- Department of Clinical Oncology, Bexley Wing, Leeds Teaching Hospitals NHS Trust, St James's University Hospital, Beckett Street, Leeds, LS9 7TF, UK
| | - A Scarsbrook
- Department of Clinical Radiology, Lincoln Wing, Leeds Teaching Hospitals NHS Trust, St James's University Hospital, Beckett Street, Leeds, LS9 7TF, UK
- Radiotherapy Research Group, Leeds Institute of Medical Research at St James's, Faculty of Medicine & Health, University of Leeds, Leeds, UK
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19
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Leccisotti L, Manfrida S, Barone R, Ripani D, Tagliaferri L, Masiello V, Privitera V, Gambacorta MA, Rufini V, Valentini V, Giordano A. The prognostic role of FDG PET/CT before combined radio-chemotherapy in anal cancer patients. Ann Nucl Med 2019; 34:65-73. [DOI: 10.1007/s12149-019-01416-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2019] [Accepted: 10/23/2019] [Indexed: 01/20/2023]
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20
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The effect of different segmentation methods on primary tumour metabolic volume assessed in 18F-FDG-PET/CT in patients with cervical cancer, for radiotherapy planning. Contemp Oncol (Pozn) 2019; 23:183-186. [PMID: 31798336 PMCID: PMC6883961 DOI: 10.5114/wo.2019.89248] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Accepted: 06/04/2019] [Indexed: 12/09/2022] Open
Abstract
Introduction Gynaecological cancers, including cervical cancer, often require a multidisciplinary approach that includes external beam radiotherapy, chemotherapy, and/or surgical treatment. Biological parameters of the tumour evaluated in 18F-FDG-PET/CT are used for target volume delineation in radiotherapy planning. The choice of segmentation method may affect the assessment of metabolic tumour volume (MTV) in 18F-FDG-PET/CT. Aim of the study To find the optimal segmentation method for the assessment of primary MTV in 18F-FDG-PET/CT in cervical cancer patients for radiotherapy planning. Material and methods Retrospective analysis was performed on a group of 30 patients with newly diagnosed, histologically confirmed cervical cancer. The primary MTVs were assessed by SUVmax and SUVmean values; three segmentation methods were used to assess the primary MTV: constant threshold of SUVmax of 2.5, threshold of SUVmax 35%, and threshold of SUV max 45%. The MTVs were compared with the tumour volumes obtained in magnetic resonance imaging (MRI), which was the "gold standard", to select the best optimal segmentation method reflecting the tumour size. Wilcoxon-Mann-Whitney and t-test were used for statistical analysis. Results Depending on the segmentation method chosen, significant differences in the MTVs were obtained (p < 0.001). The highest volumes were obtained using the method based on constant SUVmax of 2.5, while the smallest in case of threshold of SUVmax of 45%. Regarding the volume determined by MRI, a 35% SUVmax threshold was chosen as the most reliable method. Conclusions The choice of appropriate segmentation method has a significant impact on the primary MTV assessment in 18F-FDG-PET/CT in patients with cervical cancer.
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21
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Jones MP, Hruby G, Metser U, Sridharan S, Capp A, Kumar M, Gallagher S, Rutherford N, Holder C, Oldmeadow C, Martin J. FDG-PET parameters predict for recurrence in anal cancer - results from a prospective, multicentre clinical trial. Radiat Oncol 2019; 14:140. [PMID: 31387597 PMCID: PMC6685144 DOI: 10.1186/s13014-019-1342-9] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2019] [Accepted: 07/18/2019] [Indexed: 12/19/2022] Open
Abstract
Background To investigate the prognostic significance of positron emission tomography (PET) parameters from F-18 fluorodeoxyglucose (FDG) PET scans performed pre- and post- chemo-radiotherapy (CRT) for squamous cell carcinoma of the anal canal (AC). Methods From January 2013 to January 2017, 19 patients with non-metastatic AC enrolled on a prospective trial underwent FDG-PET/CT imaging before and 12 weeks following CRT. A computer-generated volume of interest (VOI) was snapped around the primary tumour using six different standard uptake value (SUV) thresholds and the following parameters were extracted: SUV max, mean, median, standard deviation and peak as well as metabolic tumour volume (MTV) and total lesion glycolysis. Exact logistic regression and ROC AUC analyses were performed for each metric at each timepoint. Results With a median follow up of 15.8 months, 3/19 patients had a local recurrence and 5/19 had any recurrence. On post-CRT PET, the median SUV within a VOI bounded by an SUV of 3 correlated with local recurrence (p < 0.01) and demonstrated excellent discrimination (ROC AUC 1.00, perfect separation was achieved at a median SUV of 3.38). The mean SUV at this threshold did not quite reach significance for prediction of local recurrence (p = 0.06) but demonstrated excellent discrimination (ROC AUC 0.91). The MTV bounded by a threshold of 41% SUVmax on the pre-CRT PET predicted for any recurrence (p = 0.03) and showed excellent discrimination (ROC AUC 0.89). Conclusions FDG-PET parameters are predictive of recurrence in AC. FDG-PET may represent a valuable tool for prognostication and response assessment in AC. Trial registration ANZCTR, ACTRN12614001219673. Registered 19 November 2014 - Retrospectively registered.
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Affiliation(s)
- Michael Peter Jones
- WP Holman Clinic, Royal Hobart Hospital, Hobart, Tasmania, Australia. .,The University of Newcastle, Callaghan, New South Wales, Australia.
| | - George Hruby
- Department of Radiation Oncology, Royal North Shore Hospital, St Leonards, New South Wales, Australia
| | - Ur Metser
- Department of Medical Imaging, Princess Margaret Cancer Centre, Toronto, Ontario, Canada
| | - Swetha Sridharan
- Department of Radiation Oncology, Calvary Mater Newcastle, Waratah, New South Wales, Australia
| | - Anne Capp
- Department of Radiation Oncology, Calvary Mater Newcastle, Waratah, New South Wales, Australia
| | - Mahesh Kumar
- Department of Radiation Oncology, Calvary Mater Newcastle, Waratah, New South Wales, Australia
| | - Sarah Gallagher
- Department of Radiation Oncology, Calvary Mater Newcastle, Waratah, New South Wales, Australia
| | - Natalie Rutherford
- Department of Nuclear Medicine, Calvary Mater Newcastle, Waratah, New South Wales, Australia
| | - Carl Holder
- Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | | | - Jarad Martin
- The University of Newcastle, Callaghan, New South Wales, Australia.,Department of Radiation Oncology, Calvary Mater Newcastle, Waratah, New South Wales, Australia
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22
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Fiorentino A, Laudicella R, Ciurlia E, Annunziata S, Lancellotta V, Mapelli P, Tuscano C, Caobelli F, Evangelista L, Marino L, Quartuccio N, Fiore M, Borghetti P, Chiaravalloti A, Ricci M, Desideri I, Alongi P. Positron emission tomography with computed tomography imaging (PET/CT) for the radiotherapy planning definition of the biological target volume: PART 2. Crit Rev Oncol Hematol 2019; 139:117-124. [PMID: 30940428 DOI: 10.1016/j.critrevonc.2019.03.008] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2019] [Revised: 03/14/2019] [Accepted: 03/14/2019] [Indexed: 02/07/2023] Open
Abstract
AIM Positron Emission Tomography with Computed Tomography (PET/CT) has been proven to be useful in the definition of Radiotherapy (RT) target volume. In this regard, the present expert review summarizes existing data for pancreas, prostate, gynecological and rectum/anal cancer. METHODS A comprehensive search of published original article was made, based on SCOPUS and PubMed database, selecting the paper that evaluated the role of PET/CT in the definition of RT volume. RESULTS FDG-PET has an important and promising role for pancreatic cancer. Choline PET/CT could be useful for identifying high-risk volumes for prostate cancer; while PSMA PET/CT is still under evaluation. FDG PET/CT in gynecological cancers has been shown to impact external-beam RT planning. The role of FDG-PET for Gross Tumor volume identification is crucial, representing a useful and powerful tool for anal and rectal cancer. CONCLUSION Taken together, molecular and functional imaging approaches offer a major step to individualize radiotherapeutic approach.
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Affiliation(s)
- Alba Fiorentino
- Radiotherapy Oncology Department, General Regional Hospital "F. Miulli", Acquaviva delle Fonti-Bari, Italy.
| | - Riccardo Laudicella
- Department of Biomedical and Dental Sciences and of Morphofunctional Imaging, University of Messina, Italy
| | - Elisa Ciurlia
- Radiotherapy Oncology Department, Vito Fazzi Hospital, Lecce, Italy
| | - Salvatore Annunziata
- Fondazione Policlinico A. Gemelli IRCCS-Università Cattolica Sacro Cuore, Roma, Italy
| | - Valentina Lancellotta
- Fondazione Policlinico Universitario A. Gemelli IRCCS, UOC di Radioterapia, Dipartimento di Scienze Radiologiche, Radioterapiche ed Ematologiche, Roma, Italy
| | - Paola Mapelli
- Department of Nuclear Medicine, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Carmelo Tuscano
- Radiotherapy Oncology Department, Azienda Ospedaliera Bianchi-Melacrino-Morelli, Reggio Calabria, Italy
| | - Federico Caobelli
- Clinic of Radiology and Nuclear Medicine, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Laura Evangelista
- Nuclear Medicine Unit, Veneto Institute of Oncology IOV - IRCCS, Padua, Italy
| | - Lorenza Marino
- Radiotherapy Oncology Department, REM, Viagrande, Catania, Italy
| | | | - Michele Fiore
- Radiation Oncology, Campus Bio-Medico University, Rome, Italy
| | - Paolo Borghetti
- Radiation Oncology Department University and Spedali Civili, Brescia, Italy
| | - Agostino Chiaravalloti
- IRCCS Istituto Neurologico Mediterraneo (INM) Neuromed, Pozzilli, Italy; Department of Biomedicine and Prevention, University of Rome Tor Vergata, Italy
| | - Maria Ricci
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Rome, Italy
| | - Isacco Desideri
- Department of Biomedical, Experimental and Clinical Sciences "Mario Serio", Section of Radiation Oncology, University of Florence, Italy
| | - Pierpaolo Alongi
- Department of Radiological Sciences, Nuclear Medicine Service, Fondazione Istituto G. Giglio, Cefalu, Italy
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Duimering A, Riauka T, Nijjar Y, Ghosh S, MacEwan R, Warkentin H, Schiller D, Tankel K, Usmani N, Severin D, Nijjar T, Fairchild A, Mulder K, Doll C, Wong C, Joseph K. Prognostic utility of pre- and post-treatment FDG-PET parameters in anal squamous cell carcinoma. Radiother Oncol 2019; 136:21-28. [PMID: 31015125 DOI: 10.1016/j.radonc.2019.03.014] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2018] [Revised: 03/09/2019] [Accepted: 03/13/2019] [Indexed: 12/24/2022]
Abstract
BACKGROUND AND PURPOSE We prospectively assessed the contributions of PET to initial staging, early detection of treatment failures, and prognostication in patients with anal squamous cell carcinoma (ASCC). MATERIALS AND METHODS Consecutive patients with ASCC referred for radical chemoradiotherapy (CRT) consented to undergo FDG-PET imaging pre-treatment and at 3 and 6 months post-treatment. Clinicopathologic data were collected and CT and PET imaging reviewed for contribution to staging and recurrence detection. Maximum standardized uptake value (SUVmax), peak standardized uptake value (SUVpeak), metabolic tumour volume (MTV), and total lesion glycolysis (TLG) were assessed for association with progression-free survival (PFS), cause-specific survival (CSS), and overall survival (OS) using the Kaplan-Meier and Cox regression models. RESULTS Between 2009 and 2016, 73 patients with clinical stages I-IIIB ASCC completed curative-intent CRT. Median follow-up was 48 months. 14 patients died and 18 patients experienced disease progression. 4-year PFS, CSS, and OS were 73%, 87%, and 84%, respectively. A pre-treatment MTV >35 cm3 predicted for worse PFS (p = 0.011) and CSS (p = 0.024) on univariate and multivariate analyses, employing an MTV definition of voxels ≥25% of SUVmax. Higher 6-month post-treatment SUVmax and SUVpeak predicted for worse PFS and OS (p ≤ 0.011). Pre-treatment SUVmax, SUVpeak, and TLG, and 3-month post-treatment SUVmax and SUVpeak did not significantly correlate with survival outcomes. CONCLUSIONS Our findings support that pre-treatment MTV provides meaningful prognostic information, with suggestion that an MTV delineation threshold of voxels ≥25% of SUVmax is appropriate in the anal region. Post treatment, the combination of clinical examination and PET effectively detected all treatment failures. Higher 6-month post-treatment SUVmax and SUVpeak predicted worse PFS and OS; however, the optimal timing of post-treatment PET imaging remains unclear.
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Affiliation(s)
- Adele Duimering
- Division of Radiation Oncology, Department of Oncology, Cross Cancer Institute, Edmonton, Canada
| | - Terence Riauka
- Department of Medical Physics, Cross Cancer Institute, Edmonton, Canada
| | - Yugmel Nijjar
- Division of Radiation Oncology, Department of Oncology, Cross Cancer Institute, Edmonton, Canada
| | - Sunita Ghosh
- Divison of Medical Oncology, Department of Oncology, Cross Cancer Institute, Edmonton, Canada
| | - Robert MacEwan
- Department of Oncologic Imaging, Cross Cancer Institute, Edmonton, Canada
| | - Heather Warkentin
- Department of Medical Physics, Cross Cancer Institute, Edmonton, Canada
| | - Dan Schiller
- Department of Surgical Oncology, University of Alberta, Edmonton, Canada
| | - Keith Tankel
- Division of Radiation Oncology, Department of Oncology, Cross Cancer Institute, Edmonton, Canada
| | - Nawaid Usmani
- Division of Radiation Oncology, Department of Oncology, Cross Cancer Institute, Edmonton, Canada
| | - Diane Severin
- Division of Radiation Oncology, Department of Oncology, Cross Cancer Institute, Edmonton, Canada
| | - Tirath Nijjar
- Division of Radiation Oncology, Department of Oncology, Cross Cancer Institute, Edmonton, Canada
| | - Alysa Fairchild
- Division of Radiation Oncology, Department of Oncology, Cross Cancer Institute, Edmonton, Canada
| | - Karen Mulder
- Divison of Medical Oncology, Department of Oncology, Cross Cancer Institute, Edmonton, Canada
| | - Corinne Doll
- Division of Radiation Oncology, Department of Oncology, Tom Baker Cancer Centre, Calgary, Canada
| | - Clarence Wong
- Division of Gastroenterology, University of Alberta, Edmonton, Canada
| | - Kurian Joseph
- Division of Radiation Oncology, Department of Oncology, Cross Cancer Institute, Edmonton, Canada
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Rusten E, Rekstad BL, Undseth C, Klotz D, Hernes E, Guren MG, Malinen E. Anal cancer chemoradiotherapy outcome prediction using 18F-fluorodeoxyglucose positron emission tomography and clinicopathological factors. Br J Radiol 2019; 92:20181006. [PMID: 30810343 DOI: 10.1259/bjr.20181006] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
OBJECTIVE To assess the role of [18F]fluorodeoxyglucose (FDG) positron emission tomography (PET), obtained before and during chemoradiotherapy, in predicting locoregional failure relative to clinicopathological factors for patients with anal cancer. METHODS 93 patients with anal squamous cell carcinoma treated with chemoradiotherapy were included in a prospective observational study (NCT01937780). FDG-PET/CT was performed for all patients before treatment, and for a subgroup (n = 39) also 2 weeks into treatment. FDG-PET was evaluated with standardized uptake values (SUVmax/peak/mean), metabolic tumor volume (MTV), total lesion glycolysis (TLG), and a proposed Z-normalized combination of MTV and SUVpeak (ZMP). The objective was to predict locoregional failure using FDG-PET, tumor and lymph node stage, gross tumor volume (GTV) and human papilloma virus (HPV) status in univariate and bivariate Cox regression analysis. RESULTS N3 lymph node stage, HPV negative tumor, GTV, MTV, TLG and ZMP were in univariate analysis significant predictors of locoregional failure (p < 0.01), while SUVmax/peak/mean were not (p > 0.2). In bivariate analysis HPV status was the most independent predictor in combinations with N3 stage, ZMP, TLG, and MTV (p < 0.02). The FDG-PET parameters at 2 weeks into radiotherapy decreased by 30-40 % of the initial values, but neither absolute nor relative decrease improved the prediction models. CONCLUSION Pre-treatment PET parameters are predictive of chemoradiotherapy outcome in anal cancer, although HPV negativity and N3 stage are the strongest single predictors. Predictions can be improved by combining HPV with PET parameters such as MTV, TLG or ZMP. PET 2 weeks into treatment does not provide added predictive value. ADVANCES IN KNOWLEDGE Pre-treatment PET parameters of anal cancer showed a predictive role independent of clinicopathological factors. Although the PET parameters show substantial reduction from pre- to mid-treatment, the changes were not predictive of chemoradiotherapy outcome.
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Affiliation(s)
- Espen Rusten
- 1 Department of Medical Physics, University of Oslo , Oslo , Norway
| | | | | | - Dagmar Klotz
- 3 Department of Pathology, University of Oslo , Oslo , Norway
| | - Eivor Hernes
- 4 Department of Nuclear Medicine, University of Oslo , Oslo , Norway
| | - Marianne Grønlie Guren
- 2 Department of Oncology, University of Oslo , Oslo , Norway.,5 K.G. Jebsen Colorectal Cancer Research Centre, Oslo University Hospital , Oslo , Norway
| | - Eirik Malinen
- 1 Department of Medical Physics, University of Oslo , Oslo , Norway.,6 Department of Physics, University of Oslo , Oslo , Norway
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25
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Hong JC, Cui Y, Patel BN, Rushing CN, Faught AM, Eng JS, Higgins K, Yin FF, Das S, Czito BG, Willett CG, Palta M. Association of Interim FDG-PET Imaging During Chemoradiation for Squamous Anal Canal Carcinoma With Recurrence. Int J Radiat Oncol Biol Phys 2018; 102:1046-1051. [DOI: 10.1016/j.ijrobp.2018.04.062] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2017] [Revised: 03/08/2018] [Accepted: 04/23/2018] [Indexed: 10/17/2022]
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26
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Deantonio L, Caroli A, Puta E, Ferrante D, Apicella F, Turri L, Sacchetti G, Brambilla M, Krengli M. Does baseline [18F] FDG-PET/CT correlate with tumor staging, response after neoadjuvant chemoradiotherapy, and prognosis in patients with rectal cancer? Radiat Oncol 2018; 13:211. [PMID: 30359275 PMCID: PMC6202838 DOI: 10.1186/s13014-018-1154-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2018] [Accepted: 10/11/2018] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND [18F] fluorodeoxyglucose positron emission tomography/computed tomography ([18F] FDG-PET/CT) may be used for tumor staging and prognosis in several tumors but its role in rectal cancer is still debated. The aim of the present study was to assess the correlation of baseline [18F] FDG-PET parameters with tumor staging, tumor response (tumor regression grade (TRG)), and outcome in a series of patients affected by locally advanced rectal cancer (LARC) treated with neoadjuvant chemoradiotherapy (CRT). METHODS One hundred patients treated with neoadjuvant CRT and radical surgery were enrolled in the present study. Maximum standardized uptake value (SUVmax), SUVmean, metabolic tumor volume (MTV), and total lesion glycolysis (TLG) at the baseline [18F] FDG-PET were calculated. These PET parameters were correlated with tumor staging, histopathological data (TRG1 vs. TRG2-5 and TRG1-2 vs. TRG3-5), disease-free survival, and overall survival. RESULTS SUVmax and SUVmean of primary tumor were statistically associated with T4-stage. SUVmax, SUVmean, and TLG did not result statistically associated with TRG (TRG1 or TRG1-2). MTV resulted statistically associated with TRG1-2 group (OR 2.9; 95% CI 1.2-7.1). Finally, no PET parameter was significantly associated with disease-free or overall survival. CONCLUSION Our results showed that baseline [18F] FDG-PET parameters correlated with tumor staging, and only MTV correlated with TRG 1-2. PET parameters failed to predict disease-free and overall survival after treatment completion. The results leave open to further studies the issue of identifying patients suitable for conservative approaches.
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Affiliation(s)
- Letizia Deantonio
- Radiotherapy, University Hospital "Maggiore della Carità", Novara, Italy.,Department of Translational Medicine, University of "Piemonte Orientale", Novara, Italy
| | - Angela Caroli
- Radiotherapy, University Hospital "Maggiore della Carità", Novara, Italy
| | - Erinda Puta
- Nuclear Medicine, University Hospital "Maggiore della Carità", Novara, Italy
| | - Daniela Ferrante
- Department of Translational Medicine, Unit of Medical Statistics and Cancer Epidemiology, CPO Piemonte and University of "Piemonte Orientale", Novara, Italy
| | - Francesco Apicella
- Radiotherapy, University Hospital "Maggiore della Carità", Novara, Italy
| | - Lucia Turri
- Radiotherapy, University Hospital "Maggiore della Carità", Novara, Italy
| | - Gianmauro Sacchetti
- Nuclear Medicine, University Hospital "Maggiore della Carità", Novara, Italy
| | - Marco Brambilla
- Medical Physics, University Hospital "Maggiore della Carità", Novara, Italy
| | - Marco Krengli
- Radiotherapy, University Hospital "Maggiore della Carità", Novara, Italy. .,Department of Translational Medicine, University of "Piemonte Orientale", Novara, Italy.
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27
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The American Society of Colon and Rectal Surgeons Clinical Practice Guidelines for Anal Squamous Cell Cancers (Revised 2018). Dis Colon Rectum 2018; 61:755-774. [PMID: 29878949 DOI: 10.1097/dcr.0000000000001114] [Citation(s) in RCA: 111] [Impact Index Per Article: 15.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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28
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Cabello J, Ziegler SI. Advances in PET/MR instrumentation and image reconstruction. Br J Radiol 2018; 91:20160363. [PMID: 27376170 PMCID: PMC5966194 DOI: 10.1259/bjr.20160363] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2016] [Revised: 06/26/2016] [Accepted: 06/29/2016] [Indexed: 12/15/2022] Open
Abstract
The combination of positron emission tomography (PET) and MRI has attracted the attention of researchers in the past approximately 20 years in small-animal imaging and more recently in clinical research. The combination of PET/MRI allows researchers to explore clinical and research questions in a wide number of fields, some of which are briefly mentioned here. An important number of groups have developed different concepts to tackle the problems that PET instrumentation poses to the exposition of electromagnetic fields. We have described most of these research developments in preclinical and clinical experiments, including the few commercial scanners available. From the software perspective, an important number of algorithms have been developed to address the attenuation correction issue and to exploit the possibility that MRI provides for motion correction and quantitative image reconstruction, especially parametric modelling of radiopharmaceutical kinetics. In this work, we give an overview of some exemplar applications of simultaneous PET/MRI, together with technological hardware and software developments.
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Affiliation(s)
- Jorge Cabello
- Nuklearmedizinische Klinik und Poliklinik, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Sibylle I Ziegler
- Nuklearmedizinische Klinik und Poliklinik, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
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29
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Liu X, Tan N, Liao H, Pan G, Xu Q, Zhu R, Zou L, He S, Zhu H. High GSTP1 inhibits cell proliferation by reducing Akt phosphorylation and is associated with a better prognosis in hepatocellular carcinoma. Oncotarget 2017; 9:8957-8971. [PMID: 29507666 PMCID: PMC5823662 DOI: 10.18632/oncotarget.23420] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2017] [Accepted: 09/21/2017] [Indexed: 12/15/2022] Open
Abstract
Glutathione S-transferase (GST) family members promote carcinogenesis and cancer progression. We assessed GST pi 1 (GSTP1) mRNA and protein levels in hepatocellular carcinoma (HCC) using genome databases and tissue microarray (TMA) technology. We found that in cancerous tissues, GSTP1 mRNA was down-regulated in genome databases, and immunohistochemical staining of GSTP1 in 237 HCC cases varied from negative to strongly positive. GSTP1 levels correlated negatively with tumor size and serum alpha-fetoprotein (AFP) in HCC patients, and higher GSTP1 levels associated with longer overall survival (OS) and disease-free survival (DFS). We also found that GSTP1 overexpression restrained HepG2 and Huh7 liver cancer cell proliferation in vivo and in vitro. GSTP1 arrested the cell cycle at G1/S by up-regulating p21 and p27 and down-regulating p-Akt. Interrupting GSTP1 gene expression promoted liver cancer cell proliferation and increased the percentage of cells in S phase by decreasing levels of p21 and p27 and increasing p-Akt. These results suggest high GSTP1 levels provide a better prognosis through suppression of tumorigenesis in HCC.
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Affiliation(s)
- Xiaojia Liu
- Department of Pathology, Basic Medical School, Shanghai Medical College, Fudan University, Shanghai 200032, China.,Division of Surgical Pathology, Huashan Hospital, Fudan University, Shanghai 200032, China
| | - Ning Tan
- Laboratory of Liver Injury and Repair Molecular Medicine, Guilin Medical University, Guilin 541001, China
| | - Hongtao Liao
- Laboratory of Liver Injury and Repair Molecular Medicine, Guilin Medical University, Guilin 541001, China
| | - Guangdong Pan
- Department of Hepatobiliary Surgery, The People's Hospital of Liuzhou, Liuzhou 545001, China
| | - Qing Xu
- Laboratory of Liver Injury and Repair Molecular Medicine, Guilin Medical University, Guilin 541001, China
| | - Rong Zhu
- Department of Pathology, Basic Medical School, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Liping Zou
- Department of Pathology, Basic Medical School, Shanghai Medical College, Fudan University, Shanghai 200032, China.,Division of Surgical Pathology, Huashan Hospital, Fudan University, Shanghai 200032, China
| | - Songqing He
- Laboratory of Liver Injury and Repair Molecular Medicine, Guilin Medical University, Guilin 541001, China.,Department of Hepatobiliary Surgery, Affiliated Hospital of Guangxi Medical University, Nanning 530021, China
| | - Hongguang Zhu
- Department of Pathology, Basic Medical School, Shanghai Medical College, Fudan University, Shanghai 200032, China.,Division of Surgical Pathology, Huashan Hospital, Fudan University, Shanghai 200032, China
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Lasnon C, Enilorac B, Popotte H, Aide N. Impact of the EARL harmonization program on automatic delineation of metabolic active tumour volumes (MATVs). EJNMMI Res 2017; 7:30. [PMID: 28361349 PMCID: PMC5374086 DOI: 10.1186/s13550-017-0279-y] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2017] [Accepted: 03/16/2017] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND The clinical validation of the EARL harmonization program for standardised uptake value (SUV) metrics is well documented; however, its potential for defining metabolic active tumour volume (MATV) has not yet been investigated. We aimed to compare delineation of MATV on images reconstructed using conventional ordered subset expectation maximisation (OSEM) with those reconstructed using point spread function modelling (PSF-reconstructed images), and either optimised for diagnostic potential (PSF) or filtered to meet the EANM/EARL harmonising standards (PSF7). METHODS Images from 18 stage IIIA-IIIB lung cancer patients were reconstructed using all the three methods. MATVs were then delineated using both a 40% isocontour and a gradient-based method. MATVs were compared by means of Bland-Altman analyses, and Dice coefficients and concordance indices based on the unions and intersections between each pair of reconstructions (PSF vs OSEM, PSF7 vs PSF and PSF7 vs OSEM). RESULTS Using the 40% isocontour method and taking the MATVs delineated on OSEM images as a reference standard, the use of PSF7 images led to significantly higher Dice coefficients (median value = 0.96 vs 0.77; P < 0.0001) and concordance indices (median value = 0.92 vs 0.64; P < 0.0001) than those obtained using PSF images. The gradient-based methodology was less sensitive to reconstruction variability than the 40% isocontour method; Dice coefficients and concordance indices were superior to 0.8 for both PSF reconstruction methods. However, the use of PSF7 images led to narrower interquartile ranges and significantly higher Dice coefficients (median value = 0.96 vs 0.94; P = 0.01) and concordance indices (median value = 0.89 vs 0.85; P = 0.003) than those obtained with PSF images. CONCLUSION This study demonstrates that automatic contouring of lung tumours on EARL-compliant PSF images using the widely adopted automatic isocontour methodology is an accurate means of overcoming reconstruction variability in MATV delineation. Although gradient-based methodology appears to be less sensitive to reconstruction variability, the use of EARL-compliant PSF images significantly improved the Dice coefficients and concordance indices, demonstrating the importance of harmonised-images, even when more advanced contouring algorithms are used.
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Affiliation(s)
- Charline Lasnon
- Nuclear Medicine Department, François Baclesse Cancer Centre, Caen, France
- INSERM U1086 « ANTICIPE », BioTICLA, François Baclesse Cancer Centre, Caen, France
| | - Blandine Enilorac
- Nuclear Medicine Department, University Hospital, Avenue Côte de Nacre, 14000 Caen, France
| | - Hosni Popotte
- Radiation Oncology, François Baclesse Cancer Centre, Caen, France
| | - Nicolas Aide
- INSERM U1086 « ANTICIPE », BioTICLA, François Baclesse Cancer Centre, Caen, France
- Nuclear Medicine Department, University Hospital, Avenue Côte de Nacre, 14000 Caen, France
- Normandie University, Caen, France
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31
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Teagle AR, Gilbert DC, Jones JR, Burkill GJ, McKinna F, Dizdarevic S. Negative 18F-FDG-PET-CT may exclude residual or recurrent disease in anal cancer. Nucl Med Commun 2017; 37:1038-45. [PMID: 27341410 DOI: 10.1097/mnm.0000000000000560] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
OBJECTIVES The incidence of anal cancer is increasing in Western countries. Fluorine-18 fluorodeoxyglucose (F-FDG) PET-computed tomography (CT) is used in the assessment of anal cancer, but its routine use is not established. The aim of this study was to assess the value of F-FDG-PET-CT in staging and post-treatment assessment in anal cancer and to determine its impact on management. METHODS This was a retrospective analysis of patients with anal cancer treated at the Sussex Cancer Centre who underwent PET-CT between November 2004 and September 2014. Information was retrieved from patient notes and the local cancer register, and verified by referring consultants in all cases. RESULTS A total of 75 PET-CT scans in 52 patients were identified, representing 38.5% of patients diagnosed with anal cancer during this period. There were 24 staging scans and 51 post-treatment scans. Management was altered following 45.8% of staging scans and 56.0% of all scans, mostly changing treatment type or radiotherapy volume. Out of 28 positive post-treatment scans, 71.4% were true positives, 7.1% were false positives and 21.4% showed nonspecific uptake. Of the 23 negative post-treatment scans, all remained disease free at clinical/radiological follow-up (median follow-up 25 months). The sensitivity and specificity of post-treatment PET-CT were 100 and 74%, respectively. Negative predictive and positive predictive values were 100 and 71%, respectively. CONCLUSION Evidence is evolving for the use of PET-CT in anal cancer. Because of a high negative predictive value, our series shows that PET-CT can be used in the assessment of treatment response to exclude residual/recurrent disease.
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Affiliation(s)
- Alexandra R Teagle
- Department of Imaging and Nuclear Medicine, Brighton and Sussex University Hospitals NHS Trust, Brighton, UK
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32
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Leseur J, Roman-Jimenez G, Devillers A, Ospina-Arango JD, Williaume D, Castelli J, Terve P, Lavoue V, Garin E, Lejeune F, Acosta O, De Crevoisier R. Pre- and per-treatment 18F-FDG PET/CT parameters to predict recurrence and survival in cervical cancer. Radiother Oncol 2016; 120:512-518. [DOI: 10.1016/j.radonc.2016.08.008] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2016] [Revised: 08/03/2016] [Accepted: 08/03/2016] [Indexed: 11/29/2022]
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33
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Wartski M. La tomographie par émission de positons (TEP) en oncologie digestive. Presse Med 2016; 45:734-41. [DOI: 10.1016/j.lpm.2016.06.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2016] [Accepted: 06/16/2016] [Indexed: 10/21/2022] Open
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34
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Prognostic impact of tumour burden assessed by metabolic tumour volume on FDG PET/CT in anal canal cancer. Eur J Nucl Med Mol Imaging 2016; 44:63-70. [PMID: 27503193 DOI: 10.1007/s00259-016-3475-5] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2016] [Accepted: 07/25/2016] [Indexed: 12/22/2022]
Abstract
PURPOSE The aim of this study was to confirm the prognostic value of metabolic tumour volume (MTV) at the primary site on initial work-up FDG PET/CT in patients with squamous cell carcinoma (SCC) of the anal canal. METHODS Patients with a recent diagnosis of SCC of the anal canal without metastases undergoing PET/CT for initial work-up and treated with (chemo)radiotherapy were retrospectively reviewed. Computer-aided MTV and SUVmax were determined. Survival rates were estimated using the Kaplan-Meier method. Cox regression analysis was used to evaluate prognostic variables of progression-free survival and overall survival (OS). RESULTS The study group comprised 75 patients who had an initial work-up PET/CT. Five patients (6.7 %) had stage I disease, 22 (29.3 %) stage II disease, 20 (26.7 %) stage IIIA disease, and 28 (37.3 %) stage IIIB disease. Median follow-up was 51 months (range 10 - 117 months). Global 4-year OS was 82.7 %, ranging from 100 % in patients with stage I disease to 75 % in patients with stage IIIB disease. MTV at the primary site was significantly and independently correlated with OS (p < 0.05), as patients with MTV less than 7 cm3 had a better prognosis. SUVmax was not correlated with survival parameters. Metabolic involvement of the inguinal lymph nodes was also correlated with a poor outcome in the univariate analysis (p < 0.05). CONCLUSION MTV at the primary site is a prognostic biomarker in anal canal cancer. Hypermetabolic inguinal lymph nodes also appear to be correlated with survival.
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Mohammadkhani Shali S, Schmitt V, Behrendt FF, Winz OH, Heinzel A, Mottaghy FM, Eble MJ, Verburg FA. Metabolic tumour volume of anal carcinoma on 18FDG PET/CT before combined radiochemotherapy is the only independant determinant of recurrence free survival. Eur J Radiol 2016; 85:1390-4. [DOI: 10.1016/j.ejrad.2016.05.009] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2016] [Accepted: 05/20/2016] [Indexed: 12/17/2022]
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36
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Patient-specific dosimetry using pretherapy [¹²⁴I]m-iodobenzylguanidine ([¹²⁴I]mIBG) dynamic PET/CT imaging before [¹³¹I]mIBG targeted radionuclide therapy for neuroblastoma. Mol Imaging Biol 2015; 17:284-94. [PMID: 25145966 DOI: 10.1007/s11307-014-0783-7] [Citation(s) in RCA: 49] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
PURPOSE Iodine-131-m-iodobenzylguanidine ([(131)I]mIBG)-targeted radionuclide therapy (TRT) is a standard treatment for recurrent or refractory neuroblastoma with response rates of 30-40 %. The aim of this study is to demonstrate patient-specific dosimetry using quantitative [(124)I]mIBG positron emission tomography/X-ray computed tomography (PET/CT) imaging with a GEometry ANd Tracking 4 (Geant4)-based Monte Carlo method for better treatment planning. PROCEDURES A Monte Carlo dosimetry method was developed using the Geant4 toolkit with voxelized anatomical geometry and source distribution as input. The presegmented hybrid computational human phantoms developed by the University of Florida and the National Cancer Institute (UF/NCI) were used as a surrogate to characterize the anatomy of a given patient. S values for I-131 were estimated by the phantoms coupled with Geant4 and compared with those estimated by OLINDA|EXM and MCNPX for the newborn model. To obtain patient-specific biodistribution of [(131)I]mIBG, a 10-year-old girl with relapsed neuroblastoma was imaged with [(124)I]mIBG PET/CT at four time points prior to the planned [(131)I]mIBG TRT. The organ- and tumor-absorbed doses of the clinical case were estimated with the Geant4 method using the modified UF/NCI 10-year-old phantom with tumors and the patient-specific residence time. RESULTS For the newborn model, the Geant4 S values were consistent with the MCNPX S values. The S value ratio of the Geant4 method to OLINDA|EXM ranged from 0.08 to 6.5 of all major organs. The [(131)I]mIBG residence time quantified from the pretherapy [(124)I]mIBG PET/CT imaging of the 10-year-old patient was mostly comparable to those previously reported. Organ-absorbed dose for the salivary glands was 98.0 Gy, heart wall 36.5 Gy, and liver 34.3 Gy, while tumor-absorbed dose ranged from 143.9 to 1,641.3 Gy in different sites. CONCLUSIONS Patient-specific dosimetry for [(131)I]mIBG TRT was accomplished using pretherapy [(124)I]mIBG PET/CT imaging and a Geant4-based Monte Carlo dosimetry method. The Geant4 method with quantitative pretherapy imaging can provide dose estimates to normal organs and tumors with more realistic simulation geometry, and thus may improve treatment planning for [(131)I]mIBG TRT.
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Yu Y, Guan H, Xing LG, Xiang YB. Role of gross tumor volume in the prognosis of non-small cell lung cancer treated with 3D conformal radiotherapy: a meta-analysis. Clin Ther 2015; 37:2256-66. [PMID: 26293808 DOI: 10.1016/j.clinthera.2015.07.014] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2014] [Revised: 07/15/2015] [Accepted: 07/16/2015] [Indexed: 12/26/2022]
Abstract
PURPOSE Three-dimensional conformal radiotherapy (3D-CRT) has become widely applied in patients with non-small cell lung cancer (NSCLC), and gross tumor volume (GTV) is a reliable index for predicting prognosis in patients with NSCLC. This meta-analysis investigated the association between GTV and prognosis in patients with NSCLC after 3D-CRT. METHODS Electronic bibliographic databases were searched to identify articles related to NSCLC and 3D-CRT. The search results were carefully screened, using predetermined selection criteria, to select the most relevant studies. Newcastle-Ottawa Scale criteria were applied by 2 reviewers independently to evaluate the quality of the methodology of each included article., Based on GTV, each patient was assigned to either the study group (large GTV [≥112 cm(3)]) or the control group (small GTV [<112 cm(3)]), and the mean rates of overall survival (OS) and survival at 1, 3, and 5 years were calculated in each group. Summary hazard ratio (HR) with 95% CI was calculated. FINDINGS The data from 10 cohort studies were incorporated into the current meta-analysis (1473 patients; study group, 773; control group, 700). The OS in the study group was significantly less than that in the control group (HR = 1.52; 95% CI, 1.10-1.94; P < 0.01). The study and control groups also had significantly different survival rates at 1 year (HR = 1.27; 95% CI, 1.10-1.46, P = 0.01), 3 years (HR = 2.06; 95% CI, 1.63-2.61; P < 0.01), and 5 years (HR = 2.25; 95% CI, 1.63-3.10; P < 0.01). Findings from funnel plots and Egger tests of the OS and 3-year survival rate suggested no publication bias. With respect to the 1- and 5-year survival rates, however, the funnel plots and Egger tests demonstrated publication bias among the included studies. IMPLICATIONS The relatively small number of studies and small sample size, as well as the lack of a specific and standard method of defining small and large GTV, may have influenced the credibility and reliability of our results. The findings suggest that GTV influences prognosis in patients with NSCLC after 3D-CRT. However, further studies with larger sample sizes are needed to confirm our finding that a larger GTV is negatively associated with NSCLC prognosis after 3D-CRT.
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Affiliation(s)
- Yang Yu
- Department of Radiation Oncology, Shandong's Key Laboratory of Radiation Oncology
| | - Hui Guan
- Department of Radiation Oncology, Shandong's Key Laboratory of Radiation Oncology
| | - Li-Gang Xing
- Department of Oncology, Shandong Cancer Hospital and Institute, School of Medicine and Life Sciences, University of Jinan and Shandong Academy of Medical Sciences, Jinan.
| | - Yong-Bing Xiang
- Department of Oncology, Renji Hospital, Shanghai Jiao Tong University, Shanghai, People's Republic of China
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Deantonio L, Milia ME, Cena T, Sacchetti G, Perotti C, Brambilla M, Turri L, Krengli M. Anal cancer FDG-PET standard uptake value: correlation with tumor characteristics, treatment response and survival. Radiol Med 2015; 121:54-9. [DOI: 10.1007/s11547-015-0562-9] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2015] [Accepted: 06/15/2015] [Indexed: 12/22/2022]
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Gauthé M, Richard-Molard M, Cacheux W, Michel P, Jouve JL, Mitry E, Alberini JL, Lièvre A. Role of fluorine 18 fluorodeoxyglucose positron emission tomography/computed tomography in gastrointestinal cancers. Dig Liver Dis 2015; 47:443-54. [PMID: 25766918 DOI: 10.1016/j.dld.2015.02.005] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2015] [Accepted: 02/06/2015] [Indexed: 12/11/2022]
Abstract
Fluorine-18 fluorodeoxyglucose positron emission tomography/computed tomography (FDG-PET/CT) has become a routine imaging modality for many malignancies and its use is currently increasing. In the present review article, we will summarize the evidence for FDG-PET/CT use in digestive cancers (excluding neuroendocrine tumours), and review the existing recommendations. While PET/CT is nowadays considered to be an important tool in the initial workup of oesophageal and anal cancers, new data are emerging regarding its use in assessing therapeutic efficacy, radiotherapy treatment planning, and detection of recurrence in case of isolated tumour marker elevation. Moreover, PET/CT may help decision making by detecting distant metastatic sites especially in potentially resectable metastatic colorectal cancer and, to a lesser extent, in localized gastric and pancreatic cancers. Finally, incidental focal colonic FDG uptakes require exploration by colonoscopy, as they are often associated with premalignant or malignant lesions.
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Affiliation(s)
- Mathieu Gauthé
- Institut Curie, René Huguenin Hospital, Department of Nuclear Medicine, Saint-Cloud, France; Department of Nuclear Medicine, Centre Oscar Lambret, Lille, France.
| | - Marion Richard-Molard
- Institut Curie, René Huguenin Hospital, Department of Radiation Therapy, Saint-Cloud, France
| | - Wulfran Cacheux
- Institut Curie, Department of Medical Oncology, Paris, France
| | - Pierre Michel
- Department of Gastroenterology, Rouen University Hospital, France; University of Rouen, Rouen, France
| | - Jean-Louis Jouve
- Department of Gastroenterology, Dijon University Hospital, University of Burgundy, INSERM U866, Dijon, France
| | - Emmanuel Mitry
- Institut Curie, René Huguenin Hospital, Department of Medical Oncology, Saint-Cloud, France; University of Versailles Saint Quentin, Faculty of Health Sciences, Montigny-Le-Bretonneux, France
| | - Jean-Louis Alberini
- Institut Curie, René Huguenin Hospital, Department of Nuclear Medicine, Saint-Cloud, France; University of Versailles Saint Quentin, Faculty of Health Sciences, Montigny-Le-Bretonneux, France
| | - Astrid Lièvre
- Institut Curie, René Huguenin Hospital, Department of Medical Oncology, Saint-Cloud, France; University of Versailles Saint Quentin, Faculty of Health Sciences, Montigny-Le-Bretonneux, France
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Jones M, Hruby G, Solomon M, Rutherford N, Martin J. The Role of FDG-PET in the Initial Staging and Response Assessment of Anal Cancer: A Systematic Review and Meta-analysis. Ann Surg Oncol 2015; 22:3574-81. [PMID: 25652048 DOI: 10.1245/s10434-015-4391-9] [Citation(s) in RCA: 81] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2014] [Indexed: 01/01/2023]
Abstract
PURPOSE The aim of this systematic review and meta-analysis was to compare the role of FDG-positron emission tomography (PET) or PET/computed tomography (CT) with conventional imaging in the detection of primary and nodal disease in anal cancer, and to assess the impact of PET or PET/CT on the management of anal cancer. METHODS A systematic review of the literature was performed. Eligible studies included those comparing PET or PET/CT with conventional imaging in the staging of histologically confirmed anal squamous cell carcinoma (SCC), or studies that performed PET or PET/CT imaging to assess response following treatment. RESULTS Twelve studies met the inclusion criteria. For the detection of primary disease, CT and PET had a sensitivity of 60 % (95 % confidence interval [CI] 45.5-75.2) and 99 % (95 % CI 96-100), respectively. Compared with conventional imaging, PET upstaged 15 % (95 % CI 10-21) and downstaged 15 % (95 % CI 10-20) of nodal disease. This led to a change in nodal staging in 28 % of patients (95 % CI 18-38). When only studies performing contemporary PET/CT were considered, the rate of nodal upstaging was 21 % (95 % CI 13-30) and the TNM stage was altered in 41 % of patients. Following chemoradiotherapy, 78 % (95 % CI 65-88) of patients had a complete response on PET. CONCLUSION Compared with conventional imaging, PET or PET/CT alters the nodal status in a sufficient number of cases to justify its routine use in the staging of patients with anal SCC.
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Affiliation(s)
- Michael Jones
- Department of Radiation Oncology, Royal Prince Alfred Hospital, Camperdown, Australia.
| | - George Hruby
- Department of Radiation Oncology, Royal Prince Alfred Hospital, Camperdown, Australia
| | - Michael Solomon
- Department of Surgery, Royal Prince Alfred Hospital, Camperdown, Australia
| | - Natalie Rutherford
- Department of Nuclear Medicine, Calvary Mater Newcastle, Waratah, Australia
| | - Jarad Martin
- Department of Radiation Oncology, Calvary Mater Newcastle, Waratah, Australia
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Squamous Cell Carcinoma of the Anal Canal. Surg Oncol 2015. [DOI: 10.1007/978-1-4939-1423-4_22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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FDG volumetric parameters and survival outcomes after definitive chemoradiotherapy in patients with recurrent head and neck squamous cell carcinoma. AJR Am J Roentgenol 2014; 203:W139-45. [PMID: 25055289 DOI: 10.2214/ajr.13.11654] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
OBJECTIVE The purpose of this study was to establish the predictive value of (18)F-FDG parameters for overall survival in biopsy-proven recurrent head and neck squamous cell cancer (HNSCC) patients after definitive chemoradiotherapy. MATERIALS AND METHODS We conducted a retrospective study including 34 patients with HNSCC who had biopsy-proven recurrence between April 2004 and March 2012 and underwent FDG PET/CT at our institution at the time of recurrence. Maximum standardized uptake value (SUVmax), peak SUV (SUVpeak), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) were measured. The primary outcome measure was overall survival. ROC analysis, univariate and multivariate Cox regression models, and Kaplan-Meir survival curves were performed. RESULTS In univariate analyses, human papillomavirus (HPV) status (p = 0.04), primary site recurrence of MTV (p = 0.03), metastasis of MTV (p = 0.02), metastasis of TLG (p = 0.02), total MTV (p = 0.002), and total TLG (p = 0.04) were significantly associated with overall survival outcome. Total MTV remained as significant independent prognostic factor when adjusted for all other covariates except for primary site recurrence SUVmax and SUVpeak and lymph node SUVmax and SUVpeak. There was a significant difference in time to survival between patients with total MTV above and below the 50th percentile (Mantel-Cox log-rank test, p = 0.05 and Gehan-Breslow-Wilcoxon test, p = 0.03) and the optimum threshold of 16.8 mL (Mantel-Cox log-rank test, p = 0.01 and Gehan-Breslow-Wilcoxon test, p = 0.01; hazard ratio [HR], 0.25). CONCLUSION FDG PET/CT-based total MTV and clinical HPV status may be significant prognostic markers for overall survival of patients with recurrent HNSCC after definitive chemoradiotherapy.
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Hirata K, Kobayashi K, Wong KP, Manabe O, Surmak A, Tamaki N, Huang SC. A semi-automated technique determining the liver standardized uptake value reference for tumor delineation in FDG PET-CT. PLoS One 2014; 9:e105682. [PMID: 25162396 PMCID: PMC4146536 DOI: 10.1371/journal.pone.0105682] [Citation(s) in RCA: 77] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2014] [Accepted: 07/23/2014] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET)-computed tomography (CT) has been an essential modality in oncology. We propose a semi-automated algorithm to objectively determine liver standardized uptake value (SUV), which is used as a threshold for tumor delineation. METHODS A large spherical volume of interest (VOI) was placed manually to roughly enclose the right lobe (RL) of the liver. For each voxel in this VOI, a coefficient of variation of voxel values (CVv) was calculated for neighboring voxels within a radius of d/2. The voxel with the minimum CVv was then selected, where a 30-mm spherical VOI was placed at that voxel in accordance with PERCIST criteria. Two nuclear medicine physicians independently defined 30-mm VOIs manually on 124 studies in 62 patients to generate the standard values, against which the results from the new method were compared. RESULTS The semi-automated method was successful in determining the liver SUV that was consistent between the two physicians in all the studies (d = 80 mm). The liver SUV threshold (mean +3 SD within 30-mm VOI) determined by the new semi-automated method (3.12±0.61) was not statistically different from those determined by the manual method (Physician-1: 3.14±0.58, Physician-2: 3.15±0.58). The semi-automated method produced tumor volumes that were not statistically different from those by experts' manual operation. Furthermore, the volume change in the two sequential studies had no statistical difference between semi-automated and manual methods. CONCLUSIONS Our semi-automated method could define the liver SUV robustly as the threshold value used for tumor volume measurements according to PERCIST. The method could avoid possible subjective bias of manual liver VOI placement and is thus expected to improve clinical performance of volume-based parameters for prediction of cancer treatment response.
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Affiliation(s)
- Kenji Hirata
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine at UCLA, University of California Los Angeles, Los Angeles, California, United States of America
- * E-mail:
| | - Kentaro Kobayashi
- Department of Nuclear Medicine, Hokkaido University, Graduate School of Medicine, Sapporo, Japan
| | - Koon-Pong Wong
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine at UCLA, University of California Los Angeles, Los Angeles, California, United States of America
| | - Osamu Manabe
- Department of Nuclear Medicine, Hokkaido University, Graduate School of Medicine, Sapporo, Japan
| | - Andrew Surmak
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine at UCLA, University of California Los Angeles, Los Angeles, California, United States of America
| | - Nagara Tamaki
- Department of Nuclear Medicine, Hokkaido University, Graduate School of Medicine, Sapporo, Japan
| | - Sung-Cheng Huang
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine at UCLA, University of California Los Angeles, Los Angeles, California, United States of America
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FDG PET Metabolic Tumor Volume Segmentation and Pathologic Volume of Primary Human Solid Tumors. AJR Am J Roentgenol 2014; 202:1114-9. [DOI: 10.2214/ajr.13.11456] [Citation(s) in RCA: 58] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
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Dholakia AS, Chaudhry M, Leal JP, Chang DT, Raman SP, Hacker-Prietz A, Su Z, Pai J, Oteiza KE, Griffith ME, Wahl RL, Tryggestad E, Pawlik T, Laheru DA, Wolfgang CL, Koong AC, Herman JM. Baseline metabolic tumor volume and total lesion glycolysis are associated with survival outcomes in patients with locally advanced pancreatic cancer receiving stereotactic body radiation therapy. Int J Radiat Oncol Biol Phys 2014; 89:539-46. [PMID: 24751410 DOI: 10.1016/j.ijrobp.2014.02.031] [Citation(s) in RCA: 61] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2013] [Revised: 01/08/2014] [Accepted: 02/21/2014] [Indexed: 12/29/2022]
Abstract
PURPOSE Although previous studies have demonstrated the prognostic value of positron emission tomography (PET) parameters in other malignancies, the role of PET in pancreatic cancer has yet to be well established. We analyzed the prognostic utility of PET for patients with locally advanced pancreatic cancer (LAPC) undergoing fractionated stereotactic body radiation therapy (SBRT). MATERIALS AND METHODS Thirty-two patients with LAPC in a prospective clinical trial received up to 3 doses of gemcitabine, followed by 33 Gy in 5 fractions of 6.6 Gy, using SBRT. All patients received a baseline PET scan prior to SBRT (pre-SBRT PET). Metabolic tumor volume (MTV), total lesion glycolysis (TLG), and maximum and peak standardized uptake values (SUVmax and SUVpeak) on pre-SBRT PET scans were calculated using custom-designed software. Disease was measured at a threshold based on the liver SUV, using the equation Livermean + [2 × Liversd]. Median values of PET parameters were used as cutoffs when assessing their prognostic potential through Cox regression analyses. RESULTS Of the 32 patients, the majority were male (n=19, 59%), 65 years or older (n=21, 66%), and had tumors located in the pancreatic head (n=27, 84%). Twenty-seven patients (84%) received induction gemcitabine prior to SBRT. Median overall survival for the entire cohort was 18.8 months (95% confidence interval [CI], 15.7-22.0). An MTV of 26.8 cm(3) or greater (hazard ratio [HR] 4.46, 95% CI 1.64-5.88, P<.003) and TLG of 70.9 or greater (HR 3.08, 95% CI 1.18-8.02, P<.021) on pre-SBRT PET scan were associated with inferior overall survival on univariate analysis. Both pre-SBRT MTV (HR 5.13, 95% CI 1.19-22.21, P=.029) and TLG (HR 3.34, 95% CI 1.07-10.48, P=.038) remained independently associated with overall survival in separate multivariate analyses. CONCLUSIONS Pre-SBRT MTV and TLG are potential predictive factors for overall survival in patients with LAPC and may assist in tailoring therapy.
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Affiliation(s)
- Avani S Dholakia
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Muhammad Chaudhry
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Jeffrey P Leal
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Daniel T Chang
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, California
| | - Siva P Raman
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Amy Hacker-Prietz
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Zheng Su
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, California
| | - Jonathan Pai
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, California
| | - Katharine E Oteiza
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Mary E Griffith
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Richard L Wahl
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Erik Tryggestad
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Timothy Pawlik
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Daniel A Laheru
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | | | - Albert C Koong
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, California
| | - Joseph M Herman
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland.
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Interreader Agreement and Variability of FDG PET Volumetric Parameters in Human Solid Tumors. AJR Am J Roentgenol 2014; 202:406-12. [DOI: 10.2214/ajr.13.10841] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
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Whaley JT, Fernandes AT, Sackmann R, Plastaras JP, Teo BK, Grover S, Perini RF, Metz JM, Pryma DA, Apisarnthanarax S. Clinical utility of integrated positron emission tomography/computed tomography imaging in the clinical management and radiation treatment planning of locally advanced rectal cancer. Pract Radiat Oncol 2013; 4:226-32. [PMID: 25012830 DOI: 10.1016/j.prro.2013.09.002] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2013] [Revised: 08/19/2013] [Accepted: 09/02/2013] [Indexed: 12/17/2022]
Abstract
PURPOSE The role of 18F-fluorodeoxyglucose positron emission tomography-computed tomography (FDG-PET/CT) in the staging and radiation treatment planning of locally advanced rectal cancer is ill defined. We studied the role of integrated PET/CT in the staging, radiation treatment planning, and use as an imaging biomarker in rectal cancer patients undergoing multimodality treatment. METHODS AND MATERIALS Thirty-four consecutive patients with T3-4N0-2M0-1 rectal adenocarcinoma underwent FDG-PET/CT scanning for staging and radiation treatment planning. Planned clinical management was compared before and after the addition of PET/CT information. Three radiation oncologists independently delineated CT-based gross tumor volumes (GTVCT) using clinical information and CT imaging data, as well as gradient autosegmented PET/CT-based GTVs (GTVPETCT). The mean GTV, interobserver concordance index (CCI), and proximal and distal margins were compared. The maximal standardized uptake value (SUVmax), metabolic tumor volume (MTV), and dual-time point PET parameters were correlated with clinicopathologic endpoints. RESULTS Clinical management was altered by PET/CT in 18% (n = 6) of patients with clinical upstaging in 6 patients and radiation treatment planning altered in 5 patients. Of the 30 evaluable preoperative patients, the mean GTVPETCT was significantly smaller than the mean GTVCT volumes: 88.1 versus 102.8 cc (P = .03). PET/CT significantly increased interobserver CCI in contouring GTV compared with CT only-based contouring: 0.56 versus 0.38 (P < .001). The proximal and distal margins were altered by a mean of 0.4 ± 0.24 cm and -0.25 ± 0.18 cm, respectively. MTV was inversely associated with 2-year progression-free survival (PFS) and overall survival (OS): smaller MTVs (<33 cc) had superior 2-year PFS (86% vs 60%, P = .04) and OS (100% vs 45%, P < .01) compared with larger MTVs (>33 cc). SUVmax and dual-time point PET parameters did not correlate with any endpoints. CONCLUSIONS FDG-PET/CT imaging impacts overall clinical management and is useful in the radiation treatment planning of rectal cancer patients by decreasing interobserver variability in contouring target boost volumes. Pretreatment MTV may provide useful prognostic information and requires further study.
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Affiliation(s)
- Jonathan T Whaley
- Department of Radiation Oncology, University of Pennsylvania, Abramson Cancer Center, Philadelphia, Pennsylvania
| | - Annemarie T Fernandes
- Department of Radiation Oncology, University of Pennsylvania, Abramson Cancer Center, Philadelphia, Pennsylvania
| | - Robert Sackmann
- Department of Radiation Oncology, University of Pennsylvania, Abramson Cancer Center, Philadelphia, Pennsylvania
| | - John P Plastaras
- Department of Radiation Oncology, University of Pennsylvania, Abramson Cancer Center, Philadelphia, Pennsylvania
| | - Boon-Keng Teo
- Department of Radiation Oncology, University of Pennsylvania, Abramson Cancer Center, Philadelphia, Pennsylvania
| | - Surbhi Grover
- Department of Radiation Oncology, University of Pennsylvania, Abramson Cancer Center, Philadelphia, Pennsylvania
| | - Rodolfo F Perini
- Division of Nuclear Medicine, Department of Radiology, University of Pennsylvania, Abramson Cancer Center, Philadelphia, Pennsylvania
| | - James M Metz
- Department of Radiation Oncology, University of Pennsylvania, Abramson Cancer Center, Philadelphia, Pennsylvania
| | - Daniel A Pryma
- Division of Nuclear Medicine, Department of Radiology, University of Pennsylvania, Abramson Cancer Center, Philadelphia, Pennsylvania
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