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Bagheri H, Mahdavi SR, Geramifar P, Neshasteh-Riz A, Sajadi Rad M, Dadgar H, Arabi H, Zaidi H. An Update on the Role of mpMRI and 68Ga-PSMA PET Imaging in Primary and Recurrent Prostate Cancer. Clin Genitourin Cancer 2024; 22:102076. [PMID: 38593599 DOI: 10.1016/j.clgc.2024.102076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 02/28/2024] [Accepted: 03/09/2024] [Indexed: 04/11/2024]
Abstract
The objective of this work was to review comparisons of the efficacy of 68Ga-PSMA-11 (prostate-specific membrane antigen) PET/CT and multiparametric magnetic resonance imaging (mpMRI) in the detection of prostate cancer among patients undergoing initial staging prior to radical prostatectomy or experiencing recurrent prostate cancer, based on histopathological data. A comprehensive search was conducted in PubMed and Web of Science, and relevant articles were analyzed with various parameters, including year of publication, study design, patient count, age, PSA (prostate-specific antigen) value, Gleason score, standardized uptake value (SUVmax), detection rate, treatment history, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and PI-RADS (prostate imaging reporting and data system) scores. Only studies directly comparing PSMA-PET and mpMRI were considered, while those examining combined accuracy or focusing on either modality alone were excluded. In total, 24 studies comprising 1717 patients were analyzed, with the most common indication for screening being staging, followed by relapse. The findings indicated that 68Ga-PSMA-PET/CT effectively diagnosed prostate cancer in patients with suspected or confirmed disease, and both methods exhibited comparable efficacy in identifying lesion-specific information. However, notable heterogeneity was observed, highlighting the necessity for standardization of imaging and histopathology systems to mitigate inter-study variability. Future research should prioritize evaluating the combined diagnostic performance of both modalities to enhance sensitivity and reduce unnecessary biopsies. Overall, the utilization of PSMA-PET and mpMRI in combination holds substantial potential for significantly advancing the diagnosis and management of prostate cancer.
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Affiliation(s)
- Hamed Bagheri
- Radiation Biology Research Center, Iran University of Medical Science (IUMS), Tehran, Iran
| | - Seyed Rabi Mahdavi
- Radiation Biology Research Center and Department of Medical Physics, Iran University of Medical Sciences, Tehran, Iran.
| | - Parham Geramifar
- Department Nuclear Medicine, School of Medicine Shariati Hospital, Tehran, Iran
| | - Ali Neshasteh-Riz
- Radiation Biology Research Center, Iran University of Medical Science (IUMS), Tehran, Iran
| | - Masoumeh Sajadi Rad
- Radiation Biology Research Center, Iran University of Medical Science (IUMS), Tehran, Iran
| | - Habibollah Dadgar
- Imam Reza research Center, Nuclear Medicine and Molecular imaging department, RAZAVI Hospital, Mashhad, Iran
| | - Hossein Arabi
- Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, Geneva, Switzerland
| | - Habib Zaidi
- Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, Geneva, Switzerland; Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University 6Medical Center Groningen, Groningen, Netherlands; Department of Nuclear Medicine, University of Southern Denmark, Odense, Denmark; University Research and Innovation Center, Óbuda University, Budapest, Hungary.
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Yazdani E, Geramifar P, Karamzade-Ziarati N, Sadeghi M, Amini P, Rahmim A. Radiomics and Artificial Intelligence in Radiotheranostics: A Review of Applications for Radioligands Targeting Somatostatin Receptors and Prostate-Specific Membrane Antigens. Diagnostics (Basel) 2024; 14:181. [PMID: 38248059 PMCID: PMC10814892 DOI: 10.3390/diagnostics14020181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 01/11/2024] [Accepted: 01/12/2024] [Indexed: 01/23/2024] Open
Abstract
Radiotheranostics refers to the pairing of radioactive imaging biomarkers with radioactive therapeutic compounds that deliver ionizing radiation. Given the introduction of very promising radiopharmaceuticals, the radiotheranostics approach is creating a novel paradigm in personalized, targeted radionuclide therapies (TRTs), also known as radiopharmaceuticals (RPTs). Radiotherapeutic pairs targeting somatostatin receptors (SSTR) and prostate-specific membrane antigens (PSMA) are increasingly being used to diagnose and treat patients with metastatic neuroendocrine tumors (NETs) and prostate cancer. In parallel, radiomics and artificial intelligence (AI), as important areas in quantitative image analysis, are paving the way for significantly enhanced workflows in diagnostic and theranostic fields, from data and image processing to clinical decision support, improving patient selection, personalized treatment strategies, response prediction, and prognostication. Furthermore, AI has the potential for tremendous effectiveness in patient dosimetry which copes with complex and time-consuming tasks in the RPT workflow. The present work provides a comprehensive overview of radiomics and AI application in radiotheranostics, focusing on pairs of SSTR- or PSMA-targeting radioligands, describing the fundamental concepts and specific imaging/treatment features. Our review includes ligands radiolabeled by 68Ga, 18F, 177Lu, 64Cu, 90Y, and 225Ac. Specifically, contributions via radiomics and AI towards improved image acquisition, reconstruction, treatment response, segmentation, restaging, lesion classification, dose prediction, and estimation as well as ongoing developments and future directions are discussed.
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Affiliation(s)
- Elmira Yazdani
- Medical Physics Department, School of Medicine, Iran University of Medical Sciences, Tehran 14496-14535, Iran;
- Finetech in Medicine Research Center, Iran University of Medical Sciences, Tehran 14496-14535, Iran
| | - Parham Geramifar
- Research Center for Nuclear Medicine, Tehran University of Medical Sciences, Tehran 14117-13135, Iran; (P.G.); (N.K.-Z.)
| | - Najme Karamzade-Ziarati
- Research Center for Nuclear Medicine, Tehran University of Medical Sciences, Tehran 14117-13135, Iran; (P.G.); (N.K.-Z.)
| | - Mahdi Sadeghi
- Medical Physics Department, School of Medicine, Iran University of Medical Sciences, Tehran 14496-14535, Iran;
- Finetech in Medicine Research Center, Iran University of Medical Sciences, Tehran 14496-14535, Iran
| | - Payam Amini
- Department of Biostatistics, School of Public Health, Iran University of Medical Sciences, Tehran 14496-14535, Iran;
| | - Arman Rahmim
- Department of Integrative Oncology, BC Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada
- Departments of Radiology and Physics, University of British Columbia, Vancouver, BC V5Z 1L3, Canada
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Holzschuh JC, Mix M, Ruf J, Hölscher T, Kotzerke J, Vrachimis A, Doolan P, Ilhan H, Marinescu IM, Spohn SKB, Fechter T, Kuhn D, Bronsert P, Gratzke C, Grosu R, Kamran SC, Heidari P, Ng TSC, Könik A, Grosu AL, Zamboglou C. Deep learning based automated delineation of the intraprostatic gross tumour volume in PSMA-PET for patients with primary prostate cancer. Radiother Oncol 2023; 188:109774. [PMID: 37394103 PMCID: PMC10862258 DOI: 10.1016/j.radonc.2023.109774] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 06/17/2023] [Accepted: 06/22/2023] [Indexed: 07/04/2023]
Abstract
PURPOSE With the increased use of focal radiation dose escalation for primary prostate cancer (PCa), accurate delineation of gross tumor volume (GTV) in prostate-specific membrane antigen PET (PSMA-PET) becomes crucial. Manual approaches are time-consuming and observer dependent. The purpose of this study was to create a deep learning model for the accurate delineation of the intraprostatic GTV in PSMA-PET. METHODS A 3D U-Net was trained on 128 different 18F-PSMA-1007 PET images from three different institutions. Testing was done on 52 patients including one independent internal cohort (Freiburg: n = 19) and three independent external cohorts (Dresden: n = 14 18F-PSMA-1007, Boston: Massachusetts General Hospital (MGH): n = 9 18F-DCFPyL-PSMA and Dana-Farber Cancer Institute (DFCI): n = 10 68Ga-PSMA-11). Expert contours were generated in consensus using a validated technique. CNN predictions were compared to expert contours using Dice similarity coefficient (DSC). Co-registered whole-mount histology was used for the internal testing cohort to assess sensitivity/specificity. RESULTS Median DSCs were Freiburg: 0.82 (IQR: 0.73-0.88), Dresden: 0.71 (IQR: 0.53-0.75), MGH: 0.80 (IQR: 0.64-0.83) and DFCI: 0.80 (IQR: 0.67-0.84), respectively. Median sensitivity for CNN and expert contours were 0.88 (IQR: 0.68-0.97) and 0.85 (IQR: 0.75-0.88) (p = 0.40), respectively. GTV volumes did not differ significantly (p > 0.1 for all comparisons). Median specificity of 0.83 (IQR: 0.57-0.97) and 0.88 (IQR: 0.69-0.98) were observed for CNN and expert contours (p = 0.014), respectively. CNN prediction took 3.81 seconds on average per patient. CONCLUSION The CNN was trained and tested on internal and external datasets as well as histopathology reference, achieving a fast GTV segmentation for three PSMA-PET tracers with high diagnostic accuracy comparable to manual experts.
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Affiliation(s)
- Julius C Holzschuh
- Department of Radiation Oncology, Medical Center - University of Freiburg, Freiburg, Germany; German Cancer Consortium (DKTK), Partner Site Freiburg, Freiburg, Germany; Faculty of Computer Science, Karlsruhe Institute of Technology, Karlsruhe, Germany.
| | - Michael Mix
- Department of Nuclear Medicine, Medical Center - University of Freiburg, Freiburg, Germany
| | - Juri Ruf
- Department of Nuclear Medicine, Medical Center - University of Freiburg, Freiburg, Germany
| | - Tobias Hölscher
- Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technical University Dresden, Dresden, Germany
| | - Jörg Kotzerke
- Department of Nuclear Medicine, Faculty of Medicine and University Hospital Carl Gustav Carus, Dresden, Germany
| | - Alexis Vrachimis
- Department of Nuclear Medicine, German Oncology Center - University Hospital of the European University, Limassol, Cyprus
| | - Paul Doolan
- Department of Radiation Oncology, German Oncology Center - University Hospital of the European University, Limassol, Cyprus
| | - Harun Ilhan
- Department of Nuclear Medicine, University Hospital - Ludwig-Maximilians-Universität, Munich, Germany
| | - Ioana M Marinescu
- Department of Radiation Oncology, Medical Center - University of Freiburg, Freiburg, Germany; German Cancer Consortium (DKTK), Partner Site Freiburg, Freiburg, Germany
| | - Simon K B Spohn
- Department of Radiation Oncology, Medical Center - University of Freiburg, Freiburg, Germany; German Cancer Consortium (DKTK), Partner Site Freiburg, Freiburg, Germany; Faculty of Medicine - University of Freiburg, Berta-Ottenstein-Programme, Freiburg, Germany
| | - Tobias Fechter
- Department of Radiation Oncology, Medical Center - University of Freiburg, Freiburg, Germany; German Cancer Consortium (DKTK), Partner Site Freiburg, Freiburg, Germany; Division of Medical Physics, Department of Radiation Oncology, Medical Center - University of Freiburg, Faculty of Medicine, Freiburg, Germany
| | - Dejan Kuhn
- Department of Radiation Oncology, Medical Center - University of Freiburg, Freiburg, Germany; German Cancer Consortium (DKTK), Partner Site Freiburg, Freiburg, Germany; Division of Medical Physics, Department of Radiation Oncology, Medical Center - University of Freiburg, Faculty of Medicine, Freiburg, Germany
| | - Peter Bronsert
- Department of Pathology, Medical Center - University of Freiburg, Freiburg, Germany
| | - Christian Gratzke
- Department of Urology, Medical Center - University of Freiburg, Freiburg, Germany
| | - Radu Grosu
- Cyber-Physical Systems Division, Institute of Computer Engineering and Faculty of Informatics, Technical University of Vienna, Vienna, Austria; Department of Computer Science, State University of New York at Stony Brook, NY, USA
| | - Sophia C Kamran
- Department of Radiation Oncology, Massachusetts General Hospital - Harvard Medical School, Boston, USA
| | - Pedram Heidari
- Division of Nuclear Medicine and Molecular Imaging, Massachusetts General Hospital - Harvard Medical School, Department of Radiology, Boston, USA
| | - Thomas S C Ng
- Division of Nuclear Medicine and Molecular Imaging, Massachusetts General Hospital - Harvard Medical School, Department of Radiology, Boston, USA; Joint Program in Nuclear Medicine, Brigham and Women's Hospital - Harvard Medical School, Boston, USA; Department of Imaging, Dana-Farber Cancer Institute - Harvard Medical School, Boston, USA
| | - Arda Könik
- Joint Program in Nuclear Medicine, Brigham and Women's Hospital - Harvard Medical School, Boston, USA; Department of Imaging, Dana-Farber Cancer Institute - Harvard Medical School, Boston, USA
| | - Anca-Ligia Grosu
- Department of Radiation Oncology, Medical Center - University of Freiburg, Freiburg, Germany; German Cancer Consortium (DKTK), Partner Site Freiburg, Freiburg, Germany
| | - Constantinos Zamboglou
- Department of Radiation Oncology, Medical Center - University of Freiburg, Freiburg, Germany; German Oncology Center, European University of Cyprus, Limassol, Cyprus
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Zhao Y, Haworth A, Rowshanfarzad P, Ebert MA. Focal Boost in Prostate Cancer Radiotherapy: A Review of Planning Studies and Clinical Trials. Cancers (Basel) 2023; 15:4888. [PMID: 37835581 PMCID: PMC10572027 DOI: 10.3390/cancers15194888] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 09/28/2023] [Accepted: 10/05/2023] [Indexed: 10/15/2023] Open
Abstract
BACKGROUND Focal boost radiotherapy was developed to deliver elevated doses to functional sub-volumes within a target. Such a technique was hypothesized to improve treatment outcomes without increasing toxicity in prostate cancer treatment. PURPOSE To summarize and evaluate the efficacy and variability of focal boost radiotherapy by reviewing focal boost planning studies and clinical trials that have been published in the last ten years. METHODS Published reports of focal boost radiotherapy, that specifically incorporate dose escalation to intra-prostatic lesions (IPLs), were reviewed and summarized. Correlations between acute/late ≥G2 genitourinary (GU) or gastrointestinal (GI) toxicity and clinical factors were determined by a meta-analysis. RESULTS By reviewing and summarizing 34 planning studies and 35 trials, a significant dose escalation to the GTV and thus higher tumor control of focal boost radiotherapy were reported consistently by all reviewed studies. Reviewed trials reported a not significant difference in toxicity between focal boost and conventional radiotherapy. Acute ≥G2 GU and late ≥G2 GI toxicities were reported the most and least prevalent, respectively, and a negative correlation was found between the rate of toxicity and proportion of low-risk or intermediate-risk patients in the cohort. CONCLUSION Focal boost prostate cancer radiotherapy has the potential to be a new standard of care.
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Affiliation(s)
- Yutong Zhao
- School of Physics, Mathematics and Computing, The University of Western Australia, Crawley, WA 6009, Australia; (P.R.); (M.A.E.)
| | - Annette Haworth
- Institute of Medical Physics, School of Physics, The University of Sydney, Camperdown, NSW 2050, Australia;
| | - Pejman Rowshanfarzad
- School of Physics, Mathematics and Computing, The University of Western Australia, Crawley, WA 6009, Australia; (P.R.); (M.A.E.)
- Centre for Advanced Technologies in Cancer Research (CATCR), Perth, WA 6000, Australia
| | - Martin A. Ebert
- School of Physics, Mathematics and Computing, The University of Western Australia, Crawley, WA 6009, Australia; (P.R.); (M.A.E.)
- Department of Radiation Oncology, Sir Charles Gairdner Hospital, Nedlands, WA 6009, Australia
- 5D Clinics, Claremont, WA 6010, Australia
- School of Medicine and Population Health, University of Wisconsin, Madison WI 53706, USA
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Marinescu IM, Rogg M, Spohn S, von Büren M, Kamps M, Jilg CA, Fountzila E, Papadopoulou K, Ceci L, Bettermann A, Ruf J, Benndorf M, Adebahr S, Zips D, Grosu AL, Schell C, Zamboglou C. Ex vivo γH2AX assay for tumor radiosensitivity in primary prostate cancer patients and correlation with clinical parameters. Radiat Oncol 2022; 17:163. [PMID: 36199143 PMCID: PMC9533509 DOI: 10.1186/s13014-022-02131-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Accepted: 09/13/2022] [Indexed: 11/15/2022] Open
Abstract
Backround Accurate surrogate parameters for radio resistance are warranted for individualized radiotherapy (RT) concepts in prostate cancer (PCa). The purpose of this study was to assess intertumoral heterogeneity in terms of radio resistance using an ex-vivo γH2AX assay after irradiation of prostate biopsy cores and to investigate its correlation with clinical features of respective patients as well as imaging and genomic features of tumor areas.
Methods Twenty one patients with histologically-proven PCa and pre-therapeutic multiparametric resonance imaging and prostate-specific membrane antigen positron emission tomography were included in the study. Biopsy cores were collected from 26 PCa foci. Residual γH2AX foci were counted 24 h after ex-vivo irradiation (with 0 and 4 Gy) of biopsy specimen and served as a surrogate for radio resistance. Clinical, genomic (next generation sequencing) and imaging features were collected and their association with the radio resistance was studied. Results In total 18 PCa lesions from 16 patients were included in the final analysis. The median γH2AX foci value per PCa lesion was 3.12. According to this, the patients were divided into two groups (radio sensitive vs. radio resistant) with significant differences in foci number (p < 0.0001). The patients in the radio sensitive group had significantly higher prostate specific antigen serum concentration (p = 0.015), tumor areas in the radio sensitive group had higher SUV (standardized uptake values in PSMA PET)-max and -mean values (p = 0.0037, p = 0.028) and lower ADC (apparent diffusion coefficient-mean values, p = 0.049). All later parameters had significant (p < 0.05) correlations in Pearson’s test. One patient in the radio sensitive group displayed a previously not reported loss of function frameshift mutation in the NBN gene (c.654_658delAAAAC) that introduces a premature termination codon and results in a truncated protein. Conclusion In this pilot study, significant differences in intertumoral radio resistance were observed and clinical as well as imaging parameters may be applied for their prediction. After further prospective validation in larger patient cohorts these finding may lead to individual RT dose prescription for PCa patients in the future.
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Affiliation(s)
- Ioana M Marinescu
- Department of Radiation Oncology, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, Freiburg, Germany. .,German Cancer Consortium (DKTK), Partner Site, Freiburg, Germany.
| | - Manuel Rogg
- Institute for Surgical Pathology, Medical Center - University of Freiburg, Freiburg, Germany
| | - Simon Spohn
- Department of Radiation Oncology, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, Freiburg, Germany.,German Cancer Consortium (DKTK), Partner Site, Freiburg, Germany
| | - Moritz von Büren
- Department of Urology, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, Freiburg, Germany
| | - Marius Kamps
- Department of Urology, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, Freiburg, Germany
| | - Cordula A Jilg
- Department of Urology, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, Freiburg, Germany
| | - Elena Fountzila
- Second Department of Medical Oncology, Euromedica General Clinic of Thessaloniki, Thessaloniki, Greece.,Greece and European University Cyprus, Engomi, Cyprus
| | - Kyriaki Papadopoulou
- Laboratory of Molecular Oncology, Hellenic Foundation for Cancer Research, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Lara Ceci
- Department of Radiation Oncology, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, Freiburg, Germany.,German Cancer Consortium (DKTK), Partner Site, Freiburg, Germany
| | - Alisa Bettermann
- Department of Radiation Oncology, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, Freiburg, Germany.,German Cancer Consortium (DKTK), Partner Site, Freiburg, Germany
| | - Juri Ruf
- Department of Nuclear Medicine, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, Freiburg, Germany
| | - Matthias Benndorf
- Department of Radiology, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, Freiburg, Germany
| | - Sonja Adebahr
- Department of Radiation Oncology, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, Freiburg, Germany.,German Cancer Consortium (DKTK), Partner Site, Freiburg, Germany
| | - Daniel Zips
- Medical Faculty and University Hospital, Radiation Oncology, Eberhard Karls University Tübingen, Tübingen, Germany.,German Cancer Consortium (DKTK), Partner Site Tübingen, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Anca L Grosu
- Department of Radiation Oncology, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, Freiburg, Germany.,German Cancer Consortium (DKTK), Partner Site, Freiburg, Germany
| | - Christoph Schell
- Institute for Surgical Pathology, Medical Center - University of Freiburg, Freiburg, Germany
| | - Constantinos Zamboglou
- Department of Radiation Oncology, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, Freiburg, Germany.,German Cancer Consortium (DKTK), Partner Site, Freiburg, Germany.,Berta-Ottenstein-Programme, Faculty of Medicine, University of Freiburg, Freiburg, Germany.,Tumorbank Comprehensive Cancer Center Freiburg, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, University of Freiburg, Freiburg, Germany.,German Oncology Center, European University Cyprus, Limassol, Cyprus
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Lau YC, Chen S, Ho CL, Cai J. Reliability of gradient-based segmentation for measuring metabolic parameters influenced by uptake time on 18F-PSMA-1007 PET/CT for prostate cancer. Front Oncol 2022; 12:897700. [PMID: 36249043 PMCID: PMC9559596 DOI: 10.3389/fonc.2022.897700] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 09/12/2022] [Indexed: 11/13/2022] Open
Abstract
PurposeTo determine an optimal setting for functional contouring and quantification of prostate cancer lesions with minimal variation by evaluating metabolic parameters on 18F-PSMA-1007 PET/CT measured by threshold-based and gradient-based methods under the influence of varying uptake time.Methods and materialsDual time point PET/CT was chosen to mimic varying uptake time in clinical setting. Positive lesions of patients who presented with newly diagnosed disease or biochemical recurrence after total prostatectomy were reviewed retrospectively. Gradient-based and threshold-based tools at 40%, 50% and 60% of lesion SUVmax (MIM 6.9) were used to create contours on PET. Contouring was considered completed if the target lesion, with its hottest voxel, was delineated from background tissues and nearby lesions under criteria specific to their operations. The changes in functional tumour volume (FTV) and metabolic tumour burden (MTB, defined as the product of SUVmean and FTV) were analysed. Lesion uptake patterns (increase/decrease/stable) were determined by the percentage change in tumour SUVmax at ±10% limit.ResultsA total of 275 lesions (135 intra-prostatic lesions, 65 lymph nodes, 45 bone lesions and 30 soft tissue lesions in pelvic region) in 68 patients were included. Mean uptake time of early and delayed imaging were 94 and 144 minutes respectively. Threshold-based method using 40% to 60% delineated only 85 (31%), 110 (40%) and 137 (50%) of lesions which all were contoured by gradient-based method. Although the overall percentage change using threshold at 50% was the smallest among other threshold levels in FTV measurement, it was still larger than gradient-based method (median: 50%=-7.6% vs gradient=0%). The overall percentage increase in MTB of gradient-based method (median: 6.3%) was compatible with the increase in tumour SUVmax. Only a small proportion of intra-prostatic lesions (<2%), LN (<4%), bone lesions (0%) and soft tissue lesions (<4%) demonstrated decrease uptake patterns.ConclusionsWith a high completion rate, gradient-based method is reliable for prostate cancer lesion contouring on 18F-PSMA-1007 PET/CT. Under the influence of varying uptake time, it has smaller variation than threshold-based method for measuring volumetric parameters. Therefore, gradient-based method is recommended for tumour delineation and quantification on 18F-PSMA-1007 PET/CT.
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Affiliation(s)
- Yu Ching Lau
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, Hong Kong SAR, China
- Department of Nuclear Medicine and Positron Emission Tomography, Hong Kong Sanatorium and Hospital, Hong Kong, Hong Kong SAR, China
| | - Sirong Chen
- Department of Nuclear Medicine and Positron Emission Tomography, Hong Kong Sanatorium and Hospital, Hong Kong, Hong Kong SAR, China
| | - Chi Lai Ho
- Department of Nuclear Medicine and Positron Emission Tomography, Hong Kong Sanatorium and Hospital, Hong Kong, Hong Kong SAR, China
| | - Jing Cai
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, Hong Kong SAR, China
- *Correspondence: Jing Cai,
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Yao F, Bian S, Zhu D, Yuan Y, Pan K, Pan Z, Feng X, Tang K, Yang Y. Machine learning-based radiomics for multiple primary prostate cancer biological characteristics prediction with 18F-PSMA-1007 PET: comparison among different volume segmentation thresholds. Radiol Med 2022; 127:1170-1178. [DOI: 10.1007/s11547-022-01541-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 08/08/2022] [Indexed: 10/15/2022]
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8
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Marinescu IM, Spohn SKB, Kiefer S, Bronsert P, Ceci L, Holzschuh J, Sigle A, Jilg CA, Rühle A, Sprave T, Nicolay NH, Winzer R, Rehm J, Kotzerke J, Hölscher T, Grosu AL, Ruf J, Benndorf M, Zamboglou C. Intraindividual Comparison Between [18F] PSMA-1007 PET/CT and Multiparametric MRI for Radiotherapy Planning in Primary Prostate Cancer Patients. Front Oncol 2022; 12:880042. [PMID: 35912219 PMCID: PMC9329567 DOI: 10.3389/fonc.2022.880042] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Accepted: 05/25/2022] [Indexed: 11/21/2022] Open
Abstract
Introduction Accurate detection and segmentation of the intraprostatic gross tumor volume (GTV) is pivotal for radiotherapy (RT) in primary prostate cancer (PCa) since it influences focal therapy target volumes and the patients’ cT stage. The study aimed to compare the performance of multiparametric resonance imaging (mpMRI) with [18F] PSMA-1007 positron emission tomography (PET) for intraprostatic GTV detection as well as delineation and to evaluate their respective influence on RT concepts. Materials and Methods In total, 93 patients from two German University Hospitals with [18F] PSMA-1007-PET/CT and MRI (Freiburg) or [18F] PSMA-1007-PET/MRI (Dresden) were retrospectively enrolled. Validated contouring techniques were applied for GTV-PET and -MRI segmentation. Absolute tumor volume and cT status were determined for each imaging method. The PCa distribution from histopathological reports based on biopsy cores and surgery specimen was used as reference in terms of laterality (unilateral vs. bilateral). Results In the Freiburg cohort (n = 84), mpMRI and PET detected in median 2 (range: 1–5) and 3 (range: 1–8) GTVs, respectively (p < 0.01). The median GTV-MRI was significantly smaller than the GTV-PET, measuring 2.05 vs. 3.65 ml (p = 0.0005). PET had a statistically significant higher concordance in laterality with surgery specimen compared to mpMRI (p = 0.04) and biopsy (p < 0.01), respectively. PSMA PET led to more cT2c and cT3b stages, whereas cT3a stage was more pronounced in mpMRI. Based on the cT stage derived from mpMRI and PET information, 21 and 23 as well as 59 and 60 patients, respectively, were intermediate- and high-risk according to the National Comprehensive Cancer Network (NCCN) v1.2022 criteria. In the Dresden cohort (n = 9), similar results were observed. Conclusion Intraprostatic GTV segmentation based on [18F] PSMA-1007 PET results in more and larger GTVs compared to mpMRI. This influences focal RT target volumes and cT stage definition, but not the NCCN risk group.
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Affiliation(s)
- Ioana M. Marinescu
- Department of Radiation Oncology, Medical Center—University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany
- German Cancer Consortium (DKTK) Partner Site Freiburg, Freiburg im Breisgau, Germany
- *Correspondence: Ioana M. Marinescu,
| | - Simon K. B. Spohn
- Department of Radiation Oncology, Medical Center—University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany
- German Cancer Consortium (DKTK) Partner Site Freiburg, Freiburg im Breisgau, Germany
| | - Selina Kiefer
- Institute for Surgical Pathology, Medical Center—University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany
| | - Peter Bronsert
- Institute for Surgical Pathology, Medical Center—University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany
| | - Lara Ceci
- Department of Radiation Oncology, Medical Center—University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany
- German Cancer Consortium (DKTK) Partner Site Freiburg, Freiburg im Breisgau, Germany
| | - Julius Holzschuh
- Department of Radiation Oncology, Medical Center—University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany
- German Cancer Consortium (DKTK) Partner Site Freiburg, Freiburg im Breisgau, Germany
| | - August Sigle
- Department of Urology, Medical Center—University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany
| | - Cordula A. Jilg
- Department of Urology, Medical Center—University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany
| | - Alexander Rühle
- Department of Radiation Oncology, Medical Center—University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany
- German Cancer Consortium (DKTK) Partner Site Freiburg, Freiburg im Breisgau, Germany
| | - Tanja Sprave
- Department of Radiation Oncology, Medical Center—University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany
- German Cancer Consortium (DKTK) Partner Site Freiburg, Freiburg im Breisgau, Germany
| | - Nils H. Nicolay
- Department of Radiation Oncology, Medical Center—University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany
- German Cancer Consortium (DKTK) Partner Site Freiburg, Freiburg im Breisgau, Germany
| | - Robert Winzer
- Department of Nuclear Medicine, Faculty of Medicine, University of Dresden, Dresden, Germany
- German Cancer Consortium (DKTK), Partner Site Dresden, Dresden, Germany
| | - Jana Rehm
- Department of Nuclear Medicine, Faculty of Medicine, University of Dresden, Dresden, Germany
- German Cancer Consortium (DKTK), Partner Site Dresden, Dresden, Germany
| | - Jörg Kotzerke
- Department of Nuclear Medicine, Faculty of Medicine, University of Dresden, Dresden, Germany
- German Cancer Consortium (DKTK), Partner Site Dresden, Dresden, Germany
| | - Tobias Hölscher
- German Cancer Consortium (DKTK), Partner Site Dresden, Dresden, Germany
- Department of Radiation Oncology, Faculty of Medicine, University of Dresden, Dresden, Germany
| | - Anca L. Grosu
- Department of Radiation Oncology, Medical Center—University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany
- German Cancer Consortium (DKTK) Partner Site Freiburg, Freiburg im Breisgau, Germany
| | - Juri Ruf
- Department of Nuclear Medicine, Medical Center—University of Freiburg, University of Freiburg, Faculty of Medicine, Freiburg im Breisgau, Germany
| | - Matthias Benndorf
- Department of Radiology, Medical Center—University of Freiburg, University of Freiburg, Faculty of Medicine, Freiburg im Breisgau, Germany
| | - Constantinos Zamboglou
- Department of Radiation Oncology, Medical Center—University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany
- German Cancer Consortium (DKTK) Partner Site Freiburg, Freiburg im Breisgau, Germany
- Tumorbank Comprehensive Cancer Center Freiburg, Medical Center—University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany
- German Oncology Center, European University Cyprus, Limassol, Cyprus
- Berta-Ottenstein-Programme, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany
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9
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Spohn SK, Birkenmaier V, Ruf J, Mix M, Sigle A, Haehl E, Adebahr S, Sprave T, Gkika E, Rühle A, Nicolay NH, Kirste S, Grosu AL, Zamboglou C. Risk Factors for Biochemical Recurrence After PSMA-PET-Guided Definitive Radiotherapy in Patients With De Novo Lymph Node-Positive Prostate Cancer. Front Oncol 2022; 12:898774. [PMID: 35747822 PMCID: PMC9209705 DOI: 10.3389/fonc.2022.898774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 05/02/2022] [Indexed: 11/16/2022] Open
Abstract
Introduction The National Comprehensive Cancer Network recommends external beam radiotherapy (EBRT) combined with androgen deprivation therapy (ADT) as the preferred treatment option for newly diagnosed node-positive (cN1) prostate cancer (PCa) patients. However, implementation of positron emission tomography targeting prostate-specific membrane antigen (PSMA-PET) in the staging of primary PCa patients has a significant impact on RT treatment concepts. This study aims to evaluate outcomes and their respective risk factors on patients with PSMA-PET-based cN1 and/or cM1a PCa receiving primary RT and ADT. Methods Forty-eight patients with cN0 and/or cM1a PCa staged by [18F]PSMA-1007-PET (n = 19) or [68Ga]PSMA-11-PET (n = 29) were retrospectively included. All patients received EBRT to the pelvis ± boost to positive nodes, followed by boost to the prostate. The impact of different PET-derived characteristics such as maximum standard uptake value (SUVmax) and number of PET-positive lymph nodes on biochemical recurrence-free survival (BRFS) (Phoenix criteria) and metastasis-free survival (MFS) was determined using Kaplan–Meier and Cox proportional hazard regression analyses. Results Median follow-up was 24 months. Median initial serum prostate-specific antigen was 20.2 ng/ml (IQR 10.2–54.2). Most patients had cT stage ≥ 3 (63%) and ISUP grade ≥ 3 (85%). Median dose to the prostate, elective nodes, and PET-positive nodes was 75 Gy, 45 Gy, and 55 Gy, respectively. Ninety percent of patients received ADT with a median duration of 9 months (IQR 6–18). In univariate analysis, cM1a stage (p = 0.03), number of >2 pelvic nodes (p = 0.01), number of >1 abdominal node (p = 0.02), and SUVmax values ≥ median (8.1 g/ml for 68Ga-PSMA-11 and 7.9 g/ml for 18F-PSMA-1007) extracted from lymph nodes were significantly associated with unfavorable BRFS, but classical clinicopathological features were not. Number of >2 pelvic nodes (n = 0.03), number of >1 abdominal node (p = 0.03), and SUVmax values ≥ median extracted from lymph nodes were associated with unfavorable MFS. In multivariate analysis, number of >2 pelvic lymph nodes was significantly associated with unfavorable BRFS (HR 5.2, p = 0.01) and SUVmax values ≥ median extracted from lymph nodes had unfavorable MFS (HR 6.3, p = 0.02). Conclusion More than 2 PET-positive pelvic lymph nodes are associated with unfavorable BRFS, and high SUVmax values are associated with unfavorable MFS. Thus, the number of PET-positive lymph nodes and the SUVmax value might be relevant prognosticators to identify patients with favorable outcomes.
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Affiliation(s)
- Simon K.B. Spohn
- Department of Radiation Oncology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, German Cancer Research Center (DKFZ), Freiburg, Germany
- Berta-Ottenstein-Programme, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- *Correspondence: Simon K.B. Spohn,
| | - Viktoria Birkenmaier
- Department of Radiation Oncology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Juri Ruf
- Department of Nuclear Medicine, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Michael Mix
- Department of Nuclear Medicine, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - August Sigle
- Department of Urology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Erik Haehl
- Department of Radiation Oncology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, German Cancer Research Center (DKFZ), Freiburg, Germany
| | - Sonja Adebahr
- Department of Radiation Oncology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, German Cancer Research Center (DKFZ), Freiburg, Germany
| | - Tanja Sprave
- Department of Radiation Oncology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, German Cancer Research Center (DKFZ), Freiburg, Germany
| | - Eleni Gkika
- Department of Radiation Oncology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, German Cancer Research Center (DKFZ), Freiburg, Germany
| | - Alexander Rühle
- Department of Radiation Oncology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, German Cancer Research Center (DKFZ), Freiburg, Germany
| | - Nils H. Nicolay
- Department of Radiation Oncology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, German Cancer Research Center (DKFZ), Freiburg, Germany
| | - Simon Kirste
- Department of Radiation Oncology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, German Cancer Research Center (DKFZ), Freiburg, Germany
| | - Anca L. Grosu
- Department of Radiation Oncology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, German Cancer Research Center (DKFZ), Freiburg, Germany
| | - Constantinos Zamboglou
- Department of Radiation Oncology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, German Cancer Research Center (DKFZ), Freiburg, Germany
- Berta-Ottenstein-Programme, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- German Oncology Center, European University Cyprus, Limassol, Cyprus
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10
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Liu W, Loblaw A, Laidley D, Fakir H, Mendez L, Davidson M, Kassam Z, Lee TY, Ward A, Thiessen J, Bayani J, Conyngham J, Bailey L, Andrews JD, Bauman G. Imaging Biomarkers in Prostate Stereotactic Body Radiotherapy: A Review and Clinical Trial Protocol. Front Oncol 2022; 12:863848. [PMID: 35494042 PMCID: PMC9043802 DOI: 10.3389/fonc.2022.863848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Accepted: 03/07/2022] [Indexed: 11/13/2022] Open
Abstract
Advances in imaging have changed prostate radiotherapy through improved biochemical control from focal boost and improved detection of recurrence. These advances are reviewed in the context of prostate stereotactic body radiation therapy (SBRT) and the ARGOS/CLIMBER trial protocol. ARGOS/CLIMBER will evaluate 1) the safety and feasibility of SBRT with focal boost guided by multiparametric MRI (mpMRI) and 18F-PSMA-1007 PET and 2) imaging and laboratory biomarkers for response to SBRT. To date, response to prostate SBRT is most commonly evaluated using the Phoenix Criteria for biochemical failure. The drawbacks of this approach include lack of lesion identification, a high false-positive rate, and delay in identifying treatment failure. Patients in ARGOS/CLIMBER will receive dynamic 18F-PSMA-1007 PET and mpMRI prior to SBRT for treatment planning and at 6 and 24 months after SBRT to assess response. Imaging findings will be correlated with prostate-specific antigen (PSA) and biopsy results, with the goal of early, non-invasive, and accurate identification of treatment failure.
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Affiliation(s)
- Wei Liu
- Department of Oncology, Division of Radiation Oncology, London Health Sciences Centre and Western University, London, ON, Canada
| | - Andrew Loblaw
- Department of Radiation Oncology, Odette Cancer Center, Sunnybrook Health Sciences Centre and Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada
| | - David Laidley
- Division of Nuclear Medicine, St. Joseph's Health Centre and Western University, London, ON, Canada
| | - Hatim Fakir
- Department of Oncology and Department of Medical Biophysics, London Health Sciences Centre and Western University, London, ON, Canada
| | - Lucas Mendez
- Department of Oncology, Division of Radiation Oncology, London Health Sciences Centre and Western University, London, ON, Canada
| | - Melanie Davidson
- Department of Radiation Oncology, Odette Cancer Center, Sunnybrook Health Sciences Centre and Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada
| | - Zahra Kassam
- Department of Medical Imaging, St. Joseph's Health Care and Western University, London, ON, Canada
| | - Ting-Yim Lee
- Department of Medical Biophysics, Western University and Lawson Health Research Institute, London, ON, Canada
| | - Aaron Ward
- Department of Medical Biophysics, Western University and Lawson Health Research Institute, London, ON, Canada
| | - Jonathan Thiessen
- Department of Medical Biophysics, Western University and Lawson Health Research Institute, London, ON, Canada
| | - Jane Bayani
- Ontario Institute for Cancer Research and Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | | | - Laura Bailey
- Clinical Research Unit, London Regional Cancer Program, London, ON, Canada
| | - Joseph D Andrews
- Clinical Research Unit, London Regional Cancer Program, London, ON, Canada
| | - Glenn Bauman
- Department of Oncology, Division of Radiation Oncology, London Health Sciences Centre and Western University, London, ON, Canada
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11
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Gaudreault M, Chang D, Hardcastle N, Jackson P, Kron T, Hofman MS, Siva S. Feasibility of biology-guided radiotherapy using PSMA-PET to boost to dominant intraprostatic tumour. Clin Transl Radiat Oncol 2022. [PMID: 35662883 PMCID: PMC9156937 DOI: 10.1016/j.ctro.2022.05.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 05/11/2022] [Accepted: 05/13/2022] [Indexed: 11/23/2022] Open
Abstract
Biology-guided radiation therapy (BGRT) uses PET imaging for online image guidance. PSMA PET uptake is abundant in the dominant intraprostatic lesion (DIL). BgRT boost to PSMA-avid subvolume in the prostate region may be feasible. Suitable targets for BgRT were identified in the ProPSMA clinical trial.
Background Methods Results Conclusions
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12
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Zschaeck S, Andela SB, Amthauer H, Furth C, Rogasch JM, Beck M, Hofheinz F, Huang K. Correlation Between Quantitative PSMA PET Parameters and Clinical Risk Factors in Non-Metastatic Primary Prostate Cancer Patients. Front Oncol 2022; 12:879089. [PMID: 35530334 PMCID: PMC9074726 DOI: 10.3389/fonc.2022.879089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Accepted: 03/28/2022] [Indexed: 11/13/2022] Open
Abstract
Background PSMA PET is frequently used for staging of prostate cancer patients. Furthermore, there is increasing interest to use PET information for personalized local treatment approaches in surgery and radiotherapy, especially for focal treatment strategies. However, it is not well established which quantitative imaging parameters show highest correlation with clinical and histological tumor aggressiveness. Methods This is a retrospective analysis of 135 consecutive patients with non-metastatic prostate cancer and PSMA PET before any treatment. Clinical risk parameters (PSA values, Gleason score and D'Amico risk group) were correlated with quantitative PET parameters maximum standardized uptake value (SUVmax), mean SUV (SUVmean), tumor asphericity (ASP) and PSMA tumor volume (PSMA-TV). Results Most of the investigated imaging parameters were highly correlated with each other (correlation coefficients between 0.20 and 0.95). A low to moderate, however significant, correlation of imaging parameters with PSA values (0.19 to 0.45) and with Gleason scores (0.17 to 0.31) was observed for all parameters except ASP which did not show a significant correlation with Gleason score. Receiver operating characteristics for the detection of D'Amico high-risk patients showed poor to fair sensitivity and specificity for all investigated quantitative PSMA PET parameters (Areas under the curve (AUC) between 0.63 and 0.73). Comparison of AUC between quantitative PET parameters by DeLong test showed significant superiority of SUVmax compared to SUVmean for the detection of high-risk patients. None of the investigated imaging parameters significantly outperformed SUVmax. Conclusion Our data confirm prior publications with lower number of patients that reported moderate correlations of PSMA PET parameters with clinical risk factors. With the important limitation that Gleason scores were only biopsy-derived in this study, there is no indication that the investigated additional parameters deliver superior information compared to SUVmax.
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Affiliation(s)
- Sebastian Zschaeck
- Department of Radiation Oncology, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- BIH Charité Clinician Scientist Program, Berlin Institute of Health at Charité – Universitätsmedizin Berlin, BIH Biomedical Innovation Academy, Berlin, Germany
| | - Stephanie Bela Andela
- Department of Radiation Oncology, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Holger Amthauer
- Department of Nuclear Medicine, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Christian Furth
- Department of Nuclear Medicine, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Julian M. Rogasch
- BIH Charité Clinician Scientist Program, Berlin Institute of Health at Charité – Universitätsmedizin Berlin, BIH Biomedical Innovation Academy, Berlin, Germany
- Department of Nuclear Medicine, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Marcus Beck
- Department of Radiation Oncology, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Frank Hofheinz
- PET Center, Institute of Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany
| | - Kai Huang
- Department of Nuclear Medicine, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
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13
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Zamboglou DC, Spohn DSK, Ruf PJ, Benndorf DM, Gainey DM, Kamps DM, Jilg PC, Gratzke PC, Adebahr DS, Schmidtmayer-Zamboglou B, Mix PM, Bamberg PF, Zschaeck DS, Ghadjar PP, Baltas PD, Grosu PAL. PSMA-PET- and MRI-based focal dose escalated radiotherapy of primary prostate cancer: planned safety analysis of a non-randomized 2-armed phase II trial (ARO2020-01). Int J Radiat Oncol Biol Phys 2022; 113:1025-1035. [DOI: 10.1016/j.ijrobp.2022.04.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 02/24/2022] [Accepted: 04/16/2022] [Indexed: 11/29/2022]
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14
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Ferro M, de Cobelli O, Musi G, del Giudice F, Carrieri G, Busetto GM, Falagario UG, Sciarra A, Maggi M, Crocetto F, Barone B, Caputo VF, Marchioni M, Lucarelli G, Imbimbo C, Mistretta FA, Luzzago S, Vartolomei MD, Cormio L, Autorino R, Tătaru OS. Radiomics in prostate cancer: an up-to-date review. Ther Adv Urol 2022; 14:17562872221109020. [PMID: 35814914 PMCID: PMC9260602 DOI: 10.1177/17562872221109020] [Citation(s) in RCA: 49] [Impact Index Per Article: 24.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2021] [Accepted: 05/30/2022] [Indexed: 12/24/2022] Open
Abstract
Prostate cancer (PCa) is the most common worldwide diagnosed malignancy in male population. The diagnosis, the identification of aggressive disease, and the post-treatment follow-up needs a more comprehensive and holistic approach. Radiomics is the extraction and interpretation of images phenotypes in a quantitative manner. Radiomics may give an advantage through advancements in imaging modalities and through the potential power of artificial intelligence techniques by translating those features into clinical outcome prediction. This article gives an overview on the current evidence of methodology and reviews the available literature on radiomics in PCa patients, highlighting its potential for personalized treatment and future applications.
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Affiliation(s)
- Matteo Ferro
- Department of Urology, European Institute of Oncology, IRCCS, Milan, Italy, via Ripamonti 435 Milano, Italy
| | - Ottavio de Cobelli
- Department of Urology, European Institute of Oncology, IRCCS, Milan, Italy; Department of Oncology and Hematology-Oncology, Università degli Studi di Milano, Milan, Italy
| | - Gennaro Musi
- Department of Urology, European Institute of Oncology, IRCCS, Milan, Italy; Department of Oncology and Hematology-Oncology, Università degli Studi di Milano, Milan, Italy
| | - Francesco del Giudice
- Department of Urology, Policlinico Umberto I, Sapienza University of Rome, Rome, Italy
| | - Giuseppe Carrieri
- Department of Urology and Organ Transplantation, University of Foggia, Foggia, Italy
| | - Gian Maria Busetto
- Department of Urology and Organ Transplantation, University of Foggia, Foggia, Italy
| | | | - Alessandro Sciarra
- Department of Urology, Policlinico Umberto I, Sapienza University of Rome, Rome, Italy
| | - Martina Maggi
- Department of Urology, Policlinico Umberto I, Sapienza University of Rome, Rome, Italy
| | - Felice Crocetto
- Department of Neurosciences, Reproductive Sciences and Odontostomatology, University of Naples ‘Federico II’, Naples, Italy
| | - Biagio Barone
- Department of Neurosciences, Reproductive Sciences and Odontostomatology, University of Naples ‘Federico II’, Naples, Italy
| | - Vincenzo Francesco Caputo
- Department of Neurosciences, Reproductive Sciences and Odontostomatology, University of Naples ‘Federico II’, Naples, Italy
| | - Michele Marchioni
- Department of Medical, Oral and Biotechnological Sciences, G. d’Annunzio, University of Chieti, Chieti, Italy; Urology Unit, ‘SS. Annunziata’ Hospital, Chieti, Italy
- Department of Urology, ASL Abruzzo 2, Chieti, Italy
| | - Giuseppe Lucarelli
- Department of Emergency and Organ Transplantation, Urology, Andrology and Kidney Transplantation Unit, University of Bari, Bari, Italy
| | - Ciro Imbimbo
- Department of Neurosciences, Reproductive Sciences and Odontostomatology, University of Naples ‘Federico II’, Naples, Italy
| | - Francesco Alessandro Mistretta
- Department of Urology, European Institute of Oncology, IRCCS, Milan, Italy
- Università degli Studi di Milano, Milan, Italy
| | - Stefano Luzzago
- Department of Urology, European Institute of Oncology, IRCCS, Milan, Italy
- Università degli Studi di Milano, Milan, Italy
| | - Mihai Dorin Vartolomei
- Department of Cell and Molecular Biology, George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mures, Târgu Mures, Romania
- Department of Urology, Medical University of Vienna, Vienna, Austria
| | - Luigi Cormio
- Urology and Renal Transplantation Unit, Department of Medical and Surgical Sciences, University of Foggia, Foggia, Italy
- Urology Unit, Bonomo Teaching Hospital, Foggia, Italy
| | | | - Octavian Sabin Tătaru
- Institution Organizing University Doctoral Studies, I.O.S.U.D., George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mures, Târgu Mures, Romania
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15
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Liu W, Fakir H, Randhawa G, Alfano R, Corkum M, Kassam Z, Rachinsky I, Chung HT, Chung P, Loblaw A, Morton G, Sexton T, Kapoor A, Ward A, Zukotynski K, Emmett L, Bauman G. Defining radio-recurrent intra-prostatic target volumes using PSMA-targeted PET/CT and multi-parametric MRI. Clin Transl Radiat Oncol 2021; 32:41-47. [PMID: 34841094 PMCID: PMC8606298 DOI: 10.1016/j.ctro.2021.11.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Revised: 11/08/2021] [Accepted: 11/08/2021] [Indexed: 11/01/2022] Open
Abstract
Purpose Our purpose was to evaluate intra-prostatic cancer volumes for salvage radiotherapy in men with recurrent prostate cancer confined to the prostate post-primary radiotherapy using mpMRI and 18F-DCFPyL PET/CT (PET). Methods Men with biochemical failure post-primary radiotherapy were enrolled in a multi-centre trial investigating mpMRI and PET. All men with isolated intra-prostatic recurrence are included in this secondary analysis. The intra-prostatic gross tumour volume (GTV) was manually delineated on mpMRI and was also delineated on PET using three methods: 1. manually, 2. using a 30% threshold of maximum intra-prostatic standard uptake value (SUVmax), and 3. using a 67% threshold of this SUVmax. Clinical target volumes (CTV) including expansions on each GTV were generated. Conformity indices were performed between the mpMRI CTV and each PET CTV. Correlation with biopsy and clinical outcomes were performed. Results Of the 36 men included, 30 (83%) had disease in two quadrants or less using the combination of mpMRI and PET. Mean target volume (union of CTV on mpMRI and CTV manually delineated on PET) was 12.2 cc (49% of prostate gland volume). 12/36 (33%) men had a biopsy. Per-patient sensitivity was 91% for mpMRI and 82% for PET. Conclusions mpMRI and PET provide complementary information for delineation of intra-prostatic recurrent disease. Union of CTV on mpMRI and PET is often less than 50% of the prostate, suggesting this imaging could help define a target for focal salvage therapy.
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Affiliation(s)
- Wei Liu
- Department of Oncology, Division of Radiation Oncology, London Health Sciences Centre and Western University, London, Canada
| | - Hatim Fakir
- Department of Oncology and Department of Medical Biophysics, London Health Sciences Centre and Western University, London, Canada
| | | | - Ryan Alfano
- Department of Radiation Oncology, Windsor Regional Cancer Centre, Windsor Regional Hospital, Windsor, Canada
| | - Mark Corkum
- Division of Radiation Oncology, The Ottawa Hospital Cancer Centre and the University of Ottawa, Ottawa, Canada
| | - Zahra Kassam
- Department of Medical Imaging, St. Joseph's Health Care and Western University, London, Canada
| | - Irina Rachinsky
- Division of Nuclear Medicine, London Health Sciences Centre and Western University, London, Canada
| | - Hans T Chung
- Department of Radiation Oncology, Odette Cancer Center, Sunnybrook Health Sciences Centre, Toronto, Canada.,Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Peter Chung
- Department of Radiation Oncology, University of Toronto, Toronto, Canada.,Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Canada
| | - Andrew Loblaw
- Department of Radiation Oncology, Odette Cancer Center, Sunnybrook Health Sciences Centre, Toronto, Canada.,Department of Radiation Oncology, University of Toronto, Toronto, Canada.,Institute of Health Care Policy and Evaluation, University of Toronto, Canada
| | - Gerard Morton
- Department of Radiation Oncology, Odette Cancer Center, Sunnybrook Health Sciences Centre, Toronto, Canada.,Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Tracy Sexton
- Department of Oncology, Division of Radiation Oncology, London Health Sciences Centre and Western University, London, Canada
| | - Anil Kapoor
- Urologic Cancer Centre for Research & Innovation and McMaster University, Hamilton, Canada
| | - Aaron Ward
- Department of Medical Biophysics, Lawson Health Research Institute and Western University, London, Canada
| | - Katherine Zukotynski
- Division of Nuclear Medicine, London Health Sciences Centre and Western University, London, Canada.,Departments of Medicine and Radiology, McMaster University, Hamilton, Canada
| | - Louise Emmett
- Department of Nuclear Medicine and Theranostics, St. Vincent's Hospital and University of New South Wales, Sydney, Australia
| | - Glenn Bauman
- Department of Oncology, Division of Radiation Oncology, London Health Sciences Centre and Western University, London, Canada
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16
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Zamboglou C, Spohn SKB, Adebahr S, Huber M, Kirste S, Sprave T, Gratzke C, Chen RC, Carl EG, Weber WA, Mix M, Benndorf M, Wiegel T, Baltas D, Jenkner C, Grosu AL. PSMA-PET/MRI-Based Focal Dose Escalation in Patients with Primary Prostate Cancer Treated with Stereotactic Body Radiation Therapy (HypoFocal-SBRT): Study Protocol of a Randomized, Multicentric Phase III Trial. Cancers (Basel) 2021; 13:cancers13225795. [PMID: 34830950 PMCID: PMC8616152 DOI: 10.3390/cancers13225795] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 11/08/2021] [Accepted: 11/16/2021] [Indexed: 02/07/2023] Open
Abstract
Technical advances in radiotherapy (RT) treatment planning and delivery have substantially changed RT concepts for primary prostate cancer (PCa) by (i) enabling a reduction of treatment time, and by (ii) enabling safe delivery of high RT doses. Several studies proposed a dose-response relationship for patients with primary PCa and especially in patients with high-risk features, as dose escalation leads to improved tumor control. In parallel to the improvements in RT techniques, diagnostic imaging techniques like multiparametric magnetic resonance imaging (mpMRI) and positron-emission tomography targeting prostate-specific-membrane antigen (PSMA-PET) evolved and enable an accurate depiction of the intraprostatic tumor mass for the first time. The HypoFocal-SBRT study combines ultra-hypofractionated RT/stereotactic body RT, with focal RT dose escalation on intraprostatic tumor sides by applying state of the art diagnostic imaging and most modern RT concepts. This novel strategy will be compared with moderate hypofractionated RT (MHRT), one option for the curative primary treatment of PCa, which has been proven by several prospective trials and is recommended and carried out worldwide. We suspect an increase in relapse-free survival (RFS), and we will assess quality of life in order to detect potential changes.
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Affiliation(s)
- Constantinos Zamboglou
- Department of Radiation Oncology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany; (C.Z.); (S.A.); (S.K.); (T.S.); (A.L.G.)
- German Cancer Consortium (DKTK), Partner Site Freiburg, 79106 Freiburg, Germany
- Berta-Ottenstein-Programme, Faculty of Medicine, University of Freiburg, 79110 Freiburg, Germany
- German Oncology Center, European University of Cyprus, Limassol 4108, Cyprus
| | - Simon K. B. Spohn
- Department of Radiation Oncology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany; (C.Z.); (S.A.); (S.K.); (T.S.); (A.L.G.)
- German Cancer Consortium (DKTK), Partner Site Freiburg, 79106 Freiburg, Germany
- Berta-Ottenstein-Programme, Faculty of Medicine, University of Freiburg, 79110 Freiburg, Germany
- Correspondence:
| | - Sonja Adebahr
- Department of Radiation Oncology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany; (C.Z.); (S.A.); (S.K.); (T.S.); (A.L.G.)
- German Cancer Consortium (DKTK), Partner Site Freiburg, 79106 Freiburg, Germany
| | - Maria Huber
- Clinical Trials Unit, Faculty of Medicine, Medical Center, University of Freiburg, 79110 Freiburg, Germany; (M.H.); (C.J.)
| | - Simon Kirste
- Department of Radiation Oncology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany; (C.Z.); (S.A.); (S.K.); (T.S.); (A.L.G.)
- German Cancer Consortium (DKTK), Partner Site Freiburg, 79106 Freiburg, Germany
| | - Tanja Sprave
- Department of Radiation Oncology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany; (C.Z.); (S.A.); (S.K.); (T.S.); (A.L.G.)
- German Cancer Consortium (DKTK), Partner Site Freiburg, 79106 Freiburg, Germany
| | - Christian Gratzke
- Department of Urology, Faculty of Medicine, Medical Center, University of Freiburg, 79106 Freiburg, Germany;
| | - Ronald C. Chen
- Department of Radiation Oncology, University of Kansas Cancer Center, Kansas City, KS 66160, USA;
| | | | - Wolfgang A. Weber
- Department of Nuclear Medicine, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, 81675 Munich, Germany;
| | - Michael Mix
- Department of Nuclear Medicine, Faculty of Medicine, Medical Center, University of Freiburg, 79106 Freiburg, Germany;
| | - Matthias Benndorf
- Department of Radiology, Faculty of Medicine, Medical Center, University of Freiburg, 79106 Freiburg, Germany;
| | - Thomas Wiegel
- Department of Radiation Oncology, University Hospital Ulm, 89081 Ulm, Germany;
| | - Dimos Baltas
- Division of Medical Physics, Department of Radiation Oncology, Medical Center, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany;
| | - Carolin Jenkner
- Clinical Trials Unit, Faculty of Medicine, Medical Center, University of Freiburg, 79110 Freiburg, Germany; (M.H.); (C.J.)
| | - Anca L. Grosu
- Department of Radiation Oncology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany; (C.Z.); (S.A.); (S.K.); (T.S.); (A.L.G.)
- German Cancer Consortium (DKTK), Partner Site Freiburg, 79106 Freiburg, Germany
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17
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Smith CW, Alfano R, Hoover D, Surry K, D'Souza D, Thiessen J, Rachinsky I, Butler J, Gomez JA, Gaed M, Moussa M, Chin J, Pautler S, Bauman GS, Ward AD. Prostate specific membrane antigen positron emission tomography for lesion-directed high-dose-rate brachytherapy dose escalation. Phys Imaging Radiat Oncol 2021; 19:102-107. [PMID: 34589619 PMCID: PMC8459608 DOI: 10.1016/j.phro.2021.07.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Revised: 06/30/2021] [Accepted: 07/01/2021] [Indexed: 11/30/2022]
Abstract
This paper evaluated lesion-directed prostatic high dose rate brachytherapy. Lesions defined by prostate specific membrane antigen positron emission tomography. Dose escalation was confirmed using whole-mount digital histology. Targeting lesions led to significantly higher dose to high-grade histologic cancer.
Background and purpose Prostate specific membrane antigen positron emission tomography imaging (PSMA-PET) has demonstrated potential for intra-prostatic lesion localization. We leveraged our existing database of co-registered PSMA-PET imaging with cross sectional digitized pathology to model dose coverage of histologically-defined prostate cancer when tailoring brachytherapy dose escalation based on PSMA-PET imaging. Materials and methods Using a previously-developed automated approach, we created segmentation volumes delineating underlying dominant intraprostatic lesions for ten men with co-registered pathology-imaging datasets. To simulate realistic high-dose-rate brachytherapy (HDR-BT) treatments, we registered the PSMA-PET-defined segmentation volumes and underlying cancer to 3D trans-rectal ultrasound images of HDR-BT cases where 15 Gray (Gy) was delivered. We applied dose/volume optimization to focally target the dominant intraprostatic lesion identified on PSMA-PET. We then compared histopathology dose for all high-grade cancer within whole-gland treatment plans versus PSMA-PET-targeted plans. Histopathology dose was analyzed for all clinically significant cancer with a Gleason score of 7or greater. Results The standard whole-gland plans achieved a median [interquartile range] D98 of 15.2 [13.8–16.4] Gy to the histologically-defined cancer, while the targeted plans achieved a significantly higher D98 of 16.5 [15.0–19.0] Gy (p = 0.007). Conclusion This study is the first to use digital histology to confirm the effectiveness of PSMA-PET HDR-BT dose escalation using automatically generated contours. Based on the findings of this study, PSMA-PET lesion dose escalation can lead to increased dose to the ground truth histologically defined cancer.
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Affiliation(s)
- Christopher W Smith
- Baines Imaging Research Laboratory, 790 Commissioners Rd E, London, ON N6A 5W9, Canada.,Lawson Health Research Institute, 750 Base Line Rd E, London, ON N6C 2R5, Canada.,Western University Department of Medical Biophysics, 1151 Richmond St., London, ON N6A 3K7, Canada.,London Regional Cancer Program, 790 Commissioners Rd E, London, ON N6A 4L6, Canada
| | - Ryan Alfano
- Baines Imaging Research Laboratory, 790 Commissioners Rd E, London, ON N6A 5W9, Canada.,Lawson Health Research Institute, 750 Base Line Rd E, London, ON N6C 2R5, Canada.,Western University Department of Medical Biophysics, 1151 Richmond St., London, ON N6A 3K7, Canada.,London Regional Cancer Program, 790 Commissioners Rd E, London, ON N6A 4L6, Canada
| | - Douglas Hoover
- Lawson Health Research Institute, 750 Base Line Rd E, London, ON N6C 2R5, Canada.,Western University Department of Medical Biophysics, 1151 Richmond St., London, ON N6A 3K7, Canada.,London Regional Cancer Program, 790 Commissioners Rd E, London, ON N6A 4L6, Canada
| | - Kathleen Surry
- Lawson Health Research Institute, 750 Base Line Rd E, London, ON N6C 2R5, Canada.,Western University Department of Medical Biophysics, 1151 Richmond St., London, ON N6A 3K7, Canada.,London Regional Cancer Program, 790 Commissioners Rd E, London, ON N6A 4L6, Canada
| | - David D'Souza
- Lawson Health Research Institute, 750 Base Line Rd E, London, ON N6C 2R5, Canada.,Western University Department of Oncology, 1151 Richmond St., London, ON N6A 3K7, Canada.,London Regional Cancer Program, 790 Commissioners Rd E, London, ON N6A 4L6, Canada
| | - Jonathan Thiessen
- Lawson Health Research Institute, 750 Base Line Rd E, London, ON N6C 2R5, Canada.,Western University Department of Medical Biophysics, 1151 Richmond St., London, ON N6A 3K7, Canada
| | - Irina Rachinsky
- Western University Department of Medical Imaging, 1151 Richmond St., London, ON N6A 3K7, Canada
| | - John Butler
- Lawson Health Research Institute, 750 Base Line Rd E, London, ON N6C 2R5, Canada
| | - Jose A Gomez
- Western University Department of Pathology and Laboratory Medicine, 1151 Richmond St., London, ON N6A 3K7, Canada
| | - Mena Gaed
- Western University Department of Pathology and Laboratory Medicine, 1151 Richmond St., London, ON N6A 3K7, Canada
| | - Madeleine Moussa
- Western University Department of Pathology and Laboratory Medicine, 1151 Richmond St., London, ON N6A 3K7, Canada
| | - Joseph Chin
- Western University Department of Surgery, 1151 Richmond St., London, ON N6A 3K7, Canada.,Western University Department of Oncology, 1151 Richmond St., London, ON N6A 3K7, Canada
| | - Stephen Pautler
- Western University Department of Surgery, 1151 Richmond St., London, ON N6A 3K7, Canada.,Western University Department of Oncology, 1151 Richmond St., London, ON N6A 3K7, Canada
| | - Glenn S Bauman
- Western University Department of Medical Biophysics, 1151 Richmond St., London, ON N6A 3K7, Canada.,Western University Department of Oncology, 1151 Richmond St., London, ON N6A 3K7, Canada.,London Regional Cancer Program, 790 Commissioners Rd E, London, ON N6A 4L6, Canada
| | - Aaron D Ward
- Baines Imaging Research Laboratory, 790 Commissioners Rd E, London, ON N6A 5W9, Canada.,Lawson Health Research Institute, 750 Base Line Rd E, London, ON N6C 2R5, Canada.,Western University Department of Medical Biophysics, 1151 Richmond St., London, ON N6A 3K7, Canada.,Western University Department of Oncology, 1151 Richmond St., London, ON N6A 3K7, Canada.,London Regional Cancer Program, 790 Commissioners Rd E, London, ON N6A 4L6, Canada
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18
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Spohn SK, Bettermann AS, Bamberg F, Benndorf M, Mix M, Nicolay NH, Fechter T, Hölscher T, Grosu R, Chiti A, Grosu AL, Zamboglou C. Radiomics in prostate cancer imaging for a personalized treatment approach - current aspects of methodology and a systematic review on validated studies. Theranostics 2021; 11:8027-8042. [PMID: 34335978 PMCID: PMC8315055 DOI: 10.7150/thno.61207] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Accepted: 06/17/2021] [Indexed: 12/14/2022] Open
Abstract
Prostate cancer (PCa) is one of the most frequently diagnosed malignancies of men in the world. Due to a variety of treatment options in different risk groups, proper diagnostic and risk stratification is pivotal in treatment of PCa. The development of precise medical imaging procedures simultaneously to improvements in big data analysis has led to the establishment of radiomics - a computer-based method of extracting and analyzing image features quantitatively. This approach bears the potential to assess and improve PCa detection, tissue characterization and clinical outcome prediction. This article gives an overview on the current aspects of methodology and systematically reviews available literature on radiomics in PCa patients, showing its potential for personalized therapy approaches. The qualitative synthesis includes all imaging modalities and focuses on validated studies, putting forward future directions.
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Affiliation(s)
- Simon K.B. Spohn
- Department of Radiation Oncology, Medical Center - University of Freiburg, Faculty of Medicine. University of Freiburg, Germany
- German Cancer Consortium (DKTK). Partner Site Freiburg, Germany
- Berta-Ottenstein-Programme, Faculty of Medicine, University of Freiburg, Germany
| | - Alisa S. Bettermann
- Department of Radiation Oncology, Medical Center - University of Freiburg, Faculty of Medicine. University of Freiburg, Germany
| | - Fabian Bamberg
- Department of Radiology, Medical Center - University of Freiburg, Faculty of Medicine. University of Freiburg, Germany
| | - Matthias Benndorf
- Department of Radiology, Medical Center - University of Freiburg, Faculty of Medicine. University of Freiburg, Germany
| | - Michael Mix
- Department of Nuclear Medicine, Medical Center - University of Freiburg, Faculty of Medicine. University of Freiburg, Germany
| | - Nils H. Nicolay
- Department of Radiation Oncology, Medical Center - University of Freiburg, Faculty of Medicine. University of Freiburg, Germany
- German Cancer Consortium (DKTK). Partner Site Freiburg, Germany
| | - Tobias Fechter
- Department of Radiation Oncology - Division of Medical Physics, Medical Center - University of Freiburg, Faculty of Medicine. University of Freiburg, Germany
| | - Tobias Hölscher
- Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden
- 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
| | - Radu Grosu
- Institute of Computer Engineering, Vienne University of Technology, Vienna, Austria
| | - Arturo Chiti
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20090 Pieve Emanuele - Milan, Italy
- IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Rozzano - Milan, Italy
| | - Anca L. Grosu
- Department of Radiation Oncology, Medical Center - University of Freiburg, Faculty of Medicine. University of Freiburg, Germany
- German Cancer Consortium (DKTK). Partner Site Freiburg, Germany
| | - Constantinos Zamboglou
- Department of Radiation Oncology, Medical Center - University of Freiburg, Faculty of Medicine. University of Freiburg, Germany
- German Cancer Consortium (DKTK). Partner Site Freiburg, Germany
- Berta-Ottenstein-Programme, Faculty of Medicine, University of Freiburg, Germany
- German Oncology Center, European University of Cyprus, Limassol, Cyprus
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19
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Mittlmeier LM, Brendel M, Beyer L, Albert NL, Todica A, Zacherl MJ, Wenter V, Herlemann A, Kretschmer A, Ledderose ST, Schmidt-Hegemann NS, Kunz WG, Ricke J, Bartenstein P, Ilhan H, Unterrainer M. Feasibility of Different Tumor Delineation Approaches for 18F-PSMA-1007 PET/CT Imaging in Prostate Cancer Patients. Front Oncol 2021; 11:663631. [PMID: 34094956 PMCID: PMC8176856 DOI: 10.3389/fonc.2021.663631] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Accepted: 04/19/2021] [Indexed: 12/22/2022] Open
Abstract
Background Delineation of PSMA-positive tumor volume on PET using PSMA-ligands is of highest clinical interest as changes of PSMA-PET/CT-derived whole tumor volume (WTV) have shown to correlate with treatment response in metastatic prostate cancer patients. So far, WTV estimation was performed on PET using 68Ga-labeled ligands; nonetheless, 18F-labeled PET ligands are gaining increasing importance due to advantages over 68Ga-labeled compounds. However, standardized tumor delineation methods for 18F-labeled PET ligands have not been established so far. As correlation of PET-based information and morphological extent in osseous and visceral metastases is hampered by morphological delineation, low contrast in liver tissue and movement artefacts, we correlated CT-based volume of lymph node metastases (LNM) and different PET-based delineation approaches for thresholding on 18F-PSMA-1007 PET. Methods Fifty patients with metastatic prostate cancer, 18F-PSMA-1007 PET/CT and non-bulky LNM (short-axis diameter ≥10mm) were included. Fifty LNM were volumetrically assessed on contrast-enhanced CT (volumetric reference standard). Different approaches for tumor volume delineation were applied and correlated with the reference standard: I) fixed SUV threshold, II) isocontour thresholding relative to SUVmax (SUV%), and thresholds relative to III) liver (SUVliver), IV) parotis (SUVparotis) and V) spleen (SUVspleen). Results A fixed SUV of 4.0 (r=0.807, r2 = 0.651, p<0.001) showed the best overall association with the volumetric reference. 55% SUVmax (r=0.627, r2 = 0.393, p<0.001) showed highest association using an isocontour-based threshold. Best background-based approaches were 60% SUVliver (r=0.715, r2 = 0.511, p<0.001), 80% SUVparotis (r=0.762, r2 = 0.581, p<0.001) and 60% SUVspleen (r=0.645, r2 = 0.416, p<0.001). Background tissues SUVliver, SUVparotis & SUVspleen did not correlate (p>0.05 each). Recently reported cut-offs for intraprostatic tumor delineation (isocontour 44% SUVmax, 42% SUVmax and 20% SUVmax) revealed inferior association for LNM delineation. Conclusions A threshold of SUV 4.0 for tumor delineation showed highest association with volumetric reference standard irrespective of potential changes in PSMA-avidity of background tissues (e. g. parotis). This approach is easily applicable in clinical routine without specific software requirements. Further studies applying this approach for total tumor volume delineation are initiated.
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Affiliation(s)
- Lena M Mittlmeier
- Department of Nuclear Medicine, University Hospital, Ludwig Maximilian University (LMU) Munich, Munich, Germany
| | - Matthias Brendel
- Department of Nuclear Medicine, University Hospital, Ludwig Maximilian University (LMU) Munich, Munich, Germany
| | - Leonie Beyer
- Department of Nuclear Medicine, University Hospital, Ludwig Maximilian University (LMU) Munich, Munich, Germany
| | - Nathalie L Albert
- Department of Nuclear Medicine, University Hospital, Ludwig Maximilian University (LMU) Munich, Munich, Germany
| | - Andrei Todica
- Department of Nuclear Medicine, University Hospital, Ludwig Maximilian University (LMU) Munich, Munich, Germany
| | - Mathias J Zacherl
- Department of Nuclear Medicine, University Hospital, Ludwig Maximilian University (LMU) Munich, Munich, Germany
| | - Vera Wenter
- Department of Nuclear Medicine, University Hospital, Ludwig Maximilian University (LMU) Munich, Munich, Germany
| | - Annika Herlemann
- Department of Urology, University Hospital, LMU Munich, Munich, Germany
| | | | | | | | - Wolfgang G Kunz
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Jens Ricke
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Peter Bartenstein
- Department of Nuclear Medicine, University Hospital, Ludwig Maximilian University (LMU) Munich, Munich, Germany
| | - Harun Ilhan
- Department of Nuclear Medicine, University Hospital, Ludwig Maximilian University (LMU) Munich, Munich, Germany
| | - Marcus Unterrainer
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
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20
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Spohn SKB, Sachpazidis I, Wiehle R, Thomann B, Sigle A, Bronsert P, Ruf J, Benndorf M, Nicolay NH, Sprave T, Grosu AL, Baltas D, Zamboglou C. Influence of Urethra Sparing on Tumor Control Probability and Normal Tissue Complication Probability in Focal Dose Escalated Hypofractionated Radiotherapy: A Planning Study Based on Histopathology Reference. Front Oncol 2021; 11:652678. [PMID: 34055621 PMCID: PMC8160377 DOI: 10.3389/fonc.2021.652678] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Accepted: 04/08/2021] [Indexed: 11/13/2022] Open
Abstract
Purpose Multiparametric magnetic resonance tomography (mpMRI) and prostate specific membrane antigen positron emission tomography (PSMA-PET/CT) are used to guide focal radiotherapy (RT) dose escalation concepts. Besides improvements of treatment effectiveness, maintenance of a good quality of life is essential. Therefore, this planning study investigates whether urethral sparing in moderately hypofractionated RT with focal RT dose escalation influences tumour control probability (TCP) and normal tissue complication probability (NTCP). Patients and Methods 10 patients with primary prostate cancer (PCa), who underwent 68Ga PSMA-PET/CT and mpMRI followed by radical prostatectomy were enrolled. Intraprostatic tumour volumes (gross tumor volume, GTV) based on both imaging techniques (GTV-MRI and -PET) were contoured manually using validated contouring techniques and GTV-Union was created by summing both. For each patient three IMRT plans were generated with 60 Gy to the whole prostate and a simultaneous integrated boost up to 70 Gy to GTV-Union in 20 fractions by (Plan 1) not respecting and (Plan 2) respecting dose constraints for urethra as well as (Plan 3) respecting dose constraints for planning organ at risk volume for urethra (PRV = urethra + 2mm expansion). NTCP for urethra was calculated applying a Lyman-Kutcher-Burman model. TCP-Histo was calculated based on PCa distribution in co-registered histology (GTV-Histo). Complication free tumour control probability (P+) was calculated. Furthermore, the intrafractional movement was considered. Results Median overlap of GTV-Union and PRV-Urethra was 1.6% (IQR 0-7%). Median minimum distance of GTV-Histo to urethra was 3.6 mm (IQR 2 - 7 mm) and of GTV-Union to urethra was 1.8 mm (IQR 0.0 - 5.0 mm). The respective prescription doses and dose constraints were reached in all plans. Urethra-sparing in Plans 2 and 3 reached significantly lower NTCP-Urethra (p = 0.002) without significantly affecting TCP-GTV-Histo (p = p > 0.28), NTCP-Bladder (p > 0.85) or NTCP-Rectum (p = 0.85), resulting in better P+ (p = 0.006). Simulation of intrafractional movement yielded even higher P+ values for Plans 2 and 3 compared to Plan 1. Conclusion Urethral sparing may increase the therapeutic ratio and should be implemented in focal RT dose escalation concepts.
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Affiliation(s)
- Simon K B Spohn
- Department of Radiation Oncology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.,German Cancer Consortium (DKTK). Partner Site Freiburg, Freiburg, Germany.,Berta-Ottenstein-Programme, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Ilias Sachpazidis
- Division of Medical Physics, Department of Radiation Oncology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Rolf Wiehle
- Division of Medical Physics, Department of Radiation Oncology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Benedikt Thomann
- Division of Medical Physics, Department of Radiation Oncology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - August Sigle
- Department of Urology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Peter Bronsert
- Institute for Surgical Pathology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Juri Ruf
- Department of Nuclear Medicine, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Matthias Benndorf
- Department of Radiology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Nils H Nicolay
- Department of Radiation Oncology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.,German Cancer Consortium (DKTK). Partner Site Freiburg, Freiburg, Germany
| | - Tanja Sprave
- Department of Radiation Oncology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.,German Cancer Consortium (DKTK). Partner Site Freiburg, Freiburg, Germany
| | - Anca L Grosu
- Department of Radiation Oncology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.,German Cancer Consortium (DKTK). Partner Site Freiburg, Freiburg, Germany
| | - Dimos Baltas
- German Cancer Consortium (DKTK). Partner Site Freiburg, Freiburg, Germany.,Division of Medical Physics, Department of Radiation Oncology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Constantinos Zamboglou
- Department of Radiation Oncology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.,German Cancer Consortium (DKTK). Partner Site Freiburg, Freiburg, Germany.,Berta-Ottenstein-Programme, Faculty of Medicine, University of Freiburg, Freiburg, Germany
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21
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Zamboglou C, Kramer M, Kiefer S, Bronsert P, Ceci L, Sigle A, Schultze-Seemann W, Jilg CA, Sprave T, Fassbender TF, Nicolay NH, Ruf J, Benndorf M, Grosu AL, Spohn SKB. The impact of the co-registration technique and analysis methodology in comparison studies between advanced imaging modalities and whole-mount-histology reference in primary prostate cancer. Sci Rep 2021; 11:5836. [PMID: 33712662 DOI: 10.1038/s41598-021-85028-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2020] [Accepted: 02/24/2021] [Indexed: 12/17/2022] Open
Abstract
Comparison studies using histopathology as standard of reference enable a validation of the diagnostic performance of imaging methods. This study analysed (1) the impact of different image-histopathology co-registration pathways, (2) the impact of the applied data analysis method and (3) intraindividually compared multiparametric magnet resonance tomography (mpMRI) and prostate specific membrane antigen positron emission tomography (PSMA-PET) by using the different approaches. Ten patients with primary PCa who underwent mpMRI and [18F]PSMA-1007 PET/CT followed by prostatectomy were prospectively enrolled. We demonstrate that the choice of the intermediate registration step [(1) via ex-vivo CT or (2) mpMRI] does not significantly affect the performance of the registration framework. Comparison of analysis methods revealed that methods using high spatial resolutions e.g. quadrant-based slice-by-slice analysis are beneficial for a differentiated analysis of performance, compared to methods with a lower resolution (segment-based analysis with 6 or 18 segments and lesions-based analysis). Furthermore, PSMA-PET outperformed mpMRI for intraprostatic PCa detection in terms of sensitivity (median %: 83-85 vs. 60-69, p < 0.04) with similar specificity (median %: 74-93.8 vs. 100) using both registration pathways. To conclude, the choice of an intermediate registration pathway does not significantly affect registration performance, analysis methods with high spatial resolution are preferable and PSMA-PET outperformed mpMRI in terms of sensitivity in our cohort.
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