Histopathology-validated gross tumor volume delineations of intraprostatic lesions using PSMA-positron emission tomography/multiparametric magnetic resonance imaging.


Journal

Physics and imaging in radiation oncology
ISSN: 2405-6316
Titre abrégé: Phys Imaging Radiat Oncol
Pays: Netherlands
ID NLM: 101704276

Informations de publication

Date de publication:
Jul 2024
Historique:
received: 28 06 2024
revised: 14 08 2024
accepted: 18 08 2024
medline: 17 9 2024
pubmed: 17 9 2024
entrez: 17 9 2024
Statut: epublish

Résumé

Dose escalation in external radiotherapy of prostate cancer shows promising results in terms of biochemical disease-free survival. Boost volume delineation guidelines are sparse which may cause high interobserver variability. The aim of this research was to characterize gross tumor volume (GTV) delineations based on multiparametric magnetic resonance imaging (mpMRI) and prostate specific membrane antigen-positron emission tomography (PSMA-PET) in relation to histopathology-validated Gleason grade 4 and 5 regions. The study participants were examined with [ Median DSC (STAPLE) for different GTVs varied between 0.33 and 0.52. GTV The combined use of mpMRI or PSMA-PET/mpMRI shows promise, achieving higher DSC and lesion coverage while minimizing non-malignant tissue inclusion, in comparison to the use of a single image type with an added CTV margin.

Sections du résumé

Background and purpose UNASSIGNED
Dose escalation in external radiotherapy of prostate cancer shows promising results in terms of biochemical disease-free survival. Boost volume delineation guidelines are sparse which may cause high interobserver variability. The aim of this research was to characterize gross tumor volume (GTV) delineations based on multiparametric magnetic resonance imaging (mpMRI) and prostate specific membrane antigen-positron emission tomography (PSMA-PET) in relation to histopathology-validated Gleason grade 4 and 5 regions.
Material and methods UNASSIGNED
The study participants were examined with [
Results UNASSIGNED
Median DSC (STAPLE) for different GTVs varied between 0.33 and 0.52. GTV
Conclusion UNASSIGNED
The combined use of mpMRI or PSMA-PET/mpMRI shows promise, achieving higher DSC and lesion coverage while minimizing non-malignant tissue inclusion, in comparison to the use of a single image type with an added CTV margin.

Identifiants

pubmed: 39286772
doi: 10.1016/j.phro.2024.100633
pii: S2405-6316(24)00103-9
pmc: PMC11402543
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100633

Informations de copyright

© 2024 The Author(s).

Déclaration de conflit d'intérêts

This work was funded by Swedish Cancer Society, Cancer research foundation of Northen Sweden, Prostatacancerförbundet and Västerbotten County. Furthermore, Joakim Jonsson and Tufve Nyholm are part-owner in Hero Imaging AB which produces the software HERO that were used in the analysis.

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Auteurs

Josefine Grefve (J)

Department of Diagnostics and Intervention, Radiation Physics, Umea University, Umea, Sweden.

Karin Söderkvist (K)

Department of Diagnostics and Intervention, Oncology, Umea University, Umea, Sweden.

Adalsteinn Gunnlaugsson (A)

Department of Hematology, Oncology and Radiation Physics, Skane University Hospital, Lund University, Lund, Sweden.

Kristina Sandgren (K)

Department of Diagnostics and Intervention, Radiation Physics, Umea University, Umea, Sweden.

Joakim Jonsson (J)

Department of Diagnostics and Intervention, Radiation Physics, Umea University, Umea, Sweden.

Angsana Keeratijarut Lindberg (A)

Department of Diagnostics and Intervention, Radiation Physics, Umea University, Umea, Sweden.

Erik Nilsson (E)

Department of Diagnostics and Intervention, Radiation Physics, Umea University, Umea, Sweden.

Jan Axelsson (J)

Department of Diagnostics and Intervention, Radiation Physics, Umea University, Umea, Sweden.

Anders Bergh (A)

Department of Medical Biosciences, Pathology, Umea University, Umea, Sweden.

Björn Zackrisson (B)

Department of Diagnostics and Intervention, Oncology, Umea University, Umea, Sweden.

Mathieu Moreau (M)

Department of Hematology, Oncology and Radiation Physics, Skane University Hospital, Lund University, Lund, Sweden.

Camilla Thellenberg Karlsson (C)

Department of Diagnostics and Intervention, Oncology, Umea University, Umea, Sweden.

Lars E Olsson (LE)

Department of Translational Medicine, Medical Radiation Physics, Lund University, Malmo, Sweden.

Anders Widmark (A)

Department of Diagnostics and Intervention, Oncology, Umea University, Umea, Sweden.

Katrine Riklund (K)

Department of Diagnostics and Intervention, Diagnostic Radiology, Umea University, Umea, Sweden.

Lennart Blomqvist (L)

Department of Diagnostics and Intervention, Diagnostic Radiology, Umea University, Umea, Sweden.

Vibeke Berg Loegager (V)

Department of Radiology, Copenhagen University Hospital in Herlev, Herlev, Denmark.

Sara N Strandberg (SN)

Department of Diagnostics and Intervention, Diagnostic Radiology, Umea University, Umea, Sweden.

Tufve Nyholm (T)

Department of Diagnostics and Intervention, Radiation Physics, Umea University, Umea, Sweden.

Classifications MeSH