Umeå University's logo

umu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Accuracy of gross tumour volume delineation with [68Ga]-PSMA-PET compared to histopathology for high-risk prostate cancer
Umeå University, Faculty of Medicine, Department of Diagnostics and Intervention. Umeå University, Faculty of Science and Technology, Centre for Biomedical Engineering and Physics (CMTF). Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.ORCID iD: 0000-0002-3955-3329
Umeå University, Faculty of Medicine, Department of Diagnostics and Intervention. Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics. Umeå University, Faculty of Science and Technology, Centre for Biomedical Engineering and Physics (CMTF).ORCID iD: 0000-0002-3353-6501
Umeå University, Faculty of Medicine, Department of Diagnostics and Intervention. Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics. Umeå University, Faculty of Science and Technology, Centre for Biomedical Engineering and Physics (CMTF).ORCID iD: 0000-0002-3488-7784
Umeå University, Faculty of Medicine, Department of Diagnostics and Intervention. Umeå University, Faculty of Medicine, Department of Radiation Sciences, Oncology.ORCID iD: 0000-0002-3683-3763
Show others and affiliations
2024 (English)In: Acta Oncologica, ISSN 0284-186X, E-ISSN 1651-226X, Vol. 63, p. 503-510Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
MJS Publishing, Medical Journals Sweden , 2024. Vol. 63, p. 503-510
National Category
Cancer and Oncology Radiology, Nuclear Medicine and Medical Imaging
Identifiers
URN: urn:nbn:se:umu:diva-227761DOI: 10.2340/1651-226X.2024.39041ISI: 001258458500005PubMedID: 38912830Scopus ID: 2-s2.0-85197008510OAI: oai:DiVA.org:umu-227761DiVA, id: diva2:1883149
Funder
Cancerforskningsfonden i NorrlandSwedish Cancer SocietyRegion VästerbottenAvailable from: 2024-07-09 Created: 2024-07-09 Last updated: 2024-07-09Bibliographically approved

Open Access in DiVA

fulltext(427 kB)73 downloads
File information
File name FULLTEXT01.pdfFile size 427 kBChecksum SHA-512
d37a655d1c7dd8befca04425a47d4a81867769df67964a6e63a97d1c4ec8a3e661bec166e92324d9b30e5eb06e9946c822b3a0379c5947ea59e251b325e277f2
Type fulltextMimetype application/pdf

Other links

Publisher's full textPubMedScopus

Authority records

Zarei, MaryamWallstén, ElinGrefve, JosefineSöderkvist, KarinSandgren, KristinaJonsson, JoakimKeeratijarut Lindberg, AngsanaNilsson, ErikBergh, AndersZackrisson, BjörnThellenberg-Karlsson, CamillaWidmark, AndersRiklund, KatrineBlomqvist, LennartAxelsson, JanStrandberg, SaraNyholm, Tufve

Search in DiVA

By author/editor
Zarei, MaryamWallstén, ElinGrefve, JosefineSöderkvist, KarinSandgren, KristinaJonsson, JoakimKeeratijarut Lindberg, AngsanaNilsson, ErikBergh, AndersZackrisson, BjörnThellenberg-Karlsson, CamillaWidmark, AndersRiklund, KatrineBlomqvist, LennartAxelsson, JanStrandberg, SaraNyholm, Tufve
By organisation
Department of Diagnostics and InterventionCentre for Biomedical Engineering and Physics (CMTF)Radiation PhysicsOncologyPathologyDiagnostic RadiologyUmeå Centre for Functional Brain Imaging (UFBI)
In the same journal
Acta Oncologica
Cancer and OncologyRadiology, Nuclear Medicine and Medical Imaging

Search outside of DiVA

GoogleGoogle Scholar
Total: 73 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 367 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf