Development and validation of a clinical decision support system based on PSA, microRNAs, and MRI for the detection of prostate cancer

ConclusionMRI stand-alone yielded the best prediction models for both PCa and csPCa detection in biopsy-na ïve patients. The use of miRNAs let-7a-5p and miR-103a-3p did not improve classification performances compared to MRI stand-alone results.Clinical relevance statementThe use of miRNA (let-7a-5p and miR-103a-3p), PSA, and MRI in a clinical decision support system (CDSS) does not improve MRI stand-alone performance in the detection of PCa and csPCa.Key Points•Clinical decision support systems including MRI improve the detection of both prostate cancer and clinically significant prostate cancer with respect to PSA test and/or microRNA.•The use of miRNAs let-7a-5p and miR-103a-3p did not significantly improve MRI stand-alone performance.•Results of this study were in line with previous works on MRI and microRNA.

http://link.springer.com/10.1007/s00330-023-10542-1

Source: European Radiology - January 4, 2024 Category: Radiology Source Type: research