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Accuracy of gross tumour volume delineation with [68Ga]-PSMA-PET compared to histopathology for high-risk prostate cancer.
Zarei, Maryam; Wallsten, Elin; Grefve, Josefine; Söderkvist, Karin; Gunnlaugsson, Adalsteinn; Sandgren, Kristina; Jonsson, Joakim; Keeratijarut Lindberg, Angsana; Nilsson, Erik; Bergh, Anders; Zackrisson, Björn; Moreau, Mathieu; Thellenberg Karlsson, Camilla; Olsson, Lars E; Widmark, Anders; Riklund, Katrine; Blomqvist, Lennart; Berg Loegager, Vibeke; Axelsson, Jan; Strandberg, Sara N; Nyholm, Tufve.
Afiliação
  • Zarei M; Department of Diagnostics and Intervention, Biomedical engineering and Radiation Physics, Umeå University, Umeå, Sweden. maryam.zarei@umu.se.
  • Wallsten E; Department of Diagnostics and Intervention, Biomedical engineering and Radiation Physics, Umeå University, Umeå, Sweden.
  • Grefve J; Department of Diagnostics and Intervention, Biomedical engineering and Radiation Physics, Umeå University, Umeå, Sweden.
  • Söderkvist K; Department of Diagnostics and Intervention, Oncology, Umeå University, Umeå, Sweden.
  • Gunnlaugsson A; Skane University Hospital, Department of Hematology, Oncology and Radiation Physics, Lund, Sweden.
  • Sandgren K; Department of Diagnostics and Intervention, Biomedical engineering and Radiation Physics, Umeå University, Umeå, Sweden.
  • Jonsson J; Department of Diagnostics and Intervention, Biomedical engineering and Radiation Physics, Umeå University, Umeå, Sweden.
  • Keeratijarut Lindberg A; Department of Diagnostics and Intervention, Biomedical engineering and Radiation Physics, Umeå University, Umeå, Sweden.
  • Nilsson E; Department of Diagnostics and Intervention, Biomedical engineering and Radiation Physics, Umeå University, Umeå, Sweden.
  • Bergh A; Department of Medical Biosciences, Pathology, Umeå University, Umeå, Sweden.
  • Zackrisson B; Department of Diagnostics and Intervention, Oncology, Umeå University, Umeå, Sweden.
  • Moreau M; Skane University Hospital, Department of Hematology, Oncology and Radiation Physics, Lund, Sweden.
  • Thellenberg Karlsson C; Department of Diagnostics and Intervention, Oncology, Umeå University, Umeå, Sweden.
  • Olsson LE; Department of Translational Medicine, Medical Radiation Physics, Lund University, Malmö, Sweden.
  • Widmark A; Department of Diagnostics and Intervention, Oncology, Umeå University, Umeå, Sweden.
  • Riklund K; Department of Diagnostics and Intervention, Diagnostic Radiology, Umeå University, Umeå, Sweden.
  • Blomqvist L; Department of Diagnostics and Intervention, Biomedical engineering and Radiation Physics, Umeå University, Umeå, Sweden; Department of Molecular Medicine and Surgery, Karolinska Institutet, Solna, Sweden.
  • Berg Loegager V; Department of Radiology, Copenhagen University Hospital in Herlev, Herlev, Denmark.
  • Axelsson J; Department of Diagnostics and Intervention, Biomedical engineering and Radiation Physics, Umeå University, Umeå, Sweden.
  • Strandberg SN; Department of Diagnostics and Intervention, Diagnostic Radiology, Umeå University, Umeå, Sweden.
  • Nyholm T; Department of Diagnostics and Intervention, Biomedical engineering and Radiation Physics, Umeå University, Umeå, Sweden.
Acta Oncol ; 63: 503-510, 2024 Jun 23.
Article em En | MEDLINE | ID: mdl-38912830
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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Carga Tumoral / Isótopos de Gálio / Radioisótopos de Gálio Limite: Aged / Humans / Male / Middle aged Idioma: En Revista: Acta Oncol Assunto da revista: NEOPLASIAS Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Suécia

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Carga Tumoral / Isótopos de Gálio / Radioisótopos de Gálio Limite: Aged / Humans / Male / Middle aged Idioma: En Revista: Acta Oncol Assunto da revista: NEOPLASIAS Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Suécia