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The grade of individual prostate cancer lesions predicted by magnetic resonance imaging and positron emission tomography
Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.ORCID iD: 0000-0001-8747-4759
Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.ORCID iD: 0000-0001-8890-241x
Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.ORCID iD: 0000-0002-3488-7784
Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
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2023 (English)In: Communications Medicine, E-ISSN 2730-664X, Vol. 3, no 1, article id 164Article in journal (Refereed) Published
Abstract [en]

Background: Multiparametric magnetic resonance imaging (mpMRI) and positron emission tomography (PET) are widely used for the management of prostate cancer (PCa). However, how these modalities complement each other in PCa risk stratification is still largely unknown. We aim to provide insights into the potential of mpMRI and PET for PCa risk stratification.

Methods: We analyzed data from 55 consecutive patients with elevated prostate-specific antigen and biopsy-proven PCa enrolled in a prospective study between December 2016 and December 2019. [68Ga]PSMA-11 PET (PSMA-PET), [11C]Acetate PET (Acetate-PET) and mpMRI were co-registered with whole-mount histopathology. Lower- and higher-grade lesions were defined by International Society of Urological Pathology (ISUP) grade groups (IGG). We used PET and mpMRI data to differentiate between grades in two cases: IGG 3 vs. IGG 2 (case 1) and IGG ≥ 3 vs. IGG ≤ 2 (case 2). The performance was evaluated by receiver operating characteristic (ROC) analysis.

Results: We find that the maximum standardized uptake value (SUVmax) for PSMA-PET achieves the highest area under the ROC curve (AUC), with AUCs of 0.72 (case 1) and 0.79 (case 2). Combining the volume transfer constant, apparent diffusion coefficient and T2-weighted images (each normalized to non-malignant prostatic tissue) results in AUCs of 0.70 (case 1) and 0.70 (case 2). Adding PSMA-SUVmax increases the AUCs by 0.09 (p < 0.01) and 0.12 (p < 0.01), respectively.

Conclusions: By co-registering whole-mount histopathology and in-vivo imaging we show that mpMRI and PET can distinguish between lower- and higher-grade prostate cancer, using partially discriminative cut-off values.

Place, publisher, year, edition, pages
Springer Nature, 2023. Vol. 3, no 1, article id 164
National Category
Radiology, Nuclear Medicine and Medical Imaging
Identifiers
URN: urn:nbn:se:umu:diva-224145DOI: 10.1038/s43856-023-00394-7ISI: 001103117100002PubMedID: 37945817OAI: oai:DiVA.org:umu-224145DiVA, id: diva2:1856969
Funder
Swedish Cancer Society, 21 1594 PjAvailable from: 2024-05-08 Created: 2024-05-08 Last updated: 2024-05-13Bibliographically approved

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Nilsson, ErikSandgren, KristinaGrefve, JosefineJonsson, JoakimAxelsson, JanKeeratijarut Lindberg, AngsanaSöderkvist, KarinThellenberg Karlsson, CamillaWidmark, AndersStrandberg, SaraRiklund, KatrineBergh, AndersNyholm, Tufve

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Nilsson, ErikSandgren, KristinaGrefve, JosefineJonsson, JoakimAxelsson, JanKeeratijarut Lindberg, AngsanaSöderkvist, KarinThellenberg Karlsson, CamillaWidmark, AndersStrandberg, SaraRiklund, KatrineBergh, AndersNyholm, Tufve
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