Maryam Zarei, Elin Wallsten, Josefine Grefve, Karin Söderkvist, Adalsteinn Gunnlaugsson, Kristina Sandgren, Joakim Jonsson, Angsana Keeratijarut Lindberg, Erik Nilsson, Anders Bergh, Björn Zackrisson, Mathieu Moreau, Camilla Thellenberg Karlsson, Lars E Olsson, Anders Widmark, Katrine Riklund, Lennart Blomqvist, Vibeke Berg Loegager, Jan Axelsson, Sara N Strandberg, Tufve Nyholm
{"title":"Accuracy of gross tumour volume delineation with [68Ga]-PSMA-PET compared to histopathology for high-risk prostate cancer.","authors":"Maryam Zarei, Elin Wallsten, Josefine Grefve, Karin Söderkvist, Adalsteinn Gunnlaugsson, Kristina Sandgren, Joakim Jonsson, Angsana Keeratijarut Lindberg, Erik Nilsson, Anders Bergh, Björn Zackrisson, Mathieu Moreau, Camilla Thellenberg Karlsson, Lars E Olsson, Anders Widmark, Katrine Riklund, Lennart Blomqvist, Vibeke Berg Loegager, Jan Axelsson, Sara N Strandberg, Tufve Nyholm","doi":"10.2340/1651-226X.2024.39041","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The delineation of intraprostatic lesions is vital for correct delivery of focal radiotherapy boost in patients with prostate cancer (PC). Errors in the delineation could translate into reduced tumour control and potentially increase the side effects. The purpose of this study is to compare PET-based delineation methods with histopathology.</p><p><strong>Materials and methods: </strong>The study population consisted of 15 patients with confirmed high-risk PC intended for prostatectomy. [68Ga]-PSMA-PET/MR was performed prior to surgery. Prostate lesions identified in histopathology were transferred to the in vivo [68Ga]-PSMA-PET/MR coordinate system. Four radiation oncologists manually delineated intraprostatic lesions based on PET data. Various semi-automatic segmentation methods were employed, including absolute and relative thresholds, adaptive threshold, and multi-level Otsu threshold.</p><p><strong>Results: </strong>The gross tumour volumes (GTVs) delineated by the oncologists showed a moderate level of interobserver agreement with Dice similarity coefficient (DSC) of 0.68. In comparison with histopathology, manual delineations exhibited the highest median DSC and the lowest false discovery rate (FDR) among all approaches. Among semi-automatic approaches, GTVs generated using standardized uptake value (SUV) thresholds above 4 (SUV > 4) demonstrated the highest median DSC (0.41), with 0.51 median lesion coverage ratio, FDR of 0.66 and the 95th percentile of the Hausdorff distance (HD95%) of 8.22 mm.</p><p><strong>Interpretation: </strong>Manual delineations showed a moderate level of interobserver agreement. Compared to histopathology, manual delineations and SUV > 4 exhibited the highest DSC and the lowest HD95% values. The methods that resulted in a high lesion coverage were associated with a large overestimation of the size of the lesions.</p>","PeriodicalId":7110,"journal":{"name":"Acta Oncologica","volume":"63 ","pages":"503-510"},"PeriodicalIF":2.7000,"publicationDate":"2024-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11332483/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta Oncologica","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2340/1651-226X.2024.39041","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background: The delineation of intraprostatic lesions is vital for correct delivery of focal radiotherapy boost in patients with prostate cancer (PC). Errors in the delineation could translate into reduced tumour control and potentially increase the side effects. The purpose of this study is to compare PET-based delineation methods with histopathology.
Materials and methods: The study population consisted of 15 patients with confirmed high-risk PC intended for prostatectomy. [68Ga]-PSMA-PET/MR was performed prior to surgery. Prostate lesions identified in histopathology were transferred to the in vivo [68Ga]-PSMA-PET/MR coordinate system. Four radiation oncologists manually delineated intraprostatic lesions based on PET data. Various semi-automatic segmentation methods were employed, including absolute and relative thresholds, adaptive threshold, and multi-level Otsu threshold.
Results: The gross tumour volumes (GTVs) delineated by the oncologists showed a moderate level of interobserver agreement with Dice similarity coefficient (DSC) of 0.68. In comparison with histopathology, manual delineations exhibited the highest median DSC and the lowest false discovery rate (FDR) among all approaches. Among semi-automatic approaches, GTVs generated using standardized uptake value (SUV) thresholds above 4 (SUV > 4) demonstrated the highest median DSC (0.41), with 0.51 median lesion coverage ratio, FDR of 0.66 and the 95th percentile of the Hausdorff distance (HD95%) of 8.22 mm.
Interpretation: Manual delineations showed a moderate level of interobserver agreement. Compared to histopathology, manual delineations and SUV > 4 exhibited the highest DSC and the lowest HD95% values. The methods that resulted in a high lesion coverage were associated with a large overestimation of the size of the lesions.
期刊介绍:
Acta Oncologica is a journal for the clinical oncologist and accepts articles within all fields of clinical cancer research. Articles on tumour pathology, experimental oncology, radiobiology, cancer epidemiology and medical radio physics are also welcome, especially if they have a clinical aim or interest. Scientific articles on cancer nursing and psychological or social aspects of cancer are also welcomed. Extensive material may be published as Supplements, for which special conditions apply.