Opportunistic PSA-free prostate cancer screening utilizing biparametric MRI (VISIONING)
Matthias, M.; Wetterauer, C.; Pueschel, H.; Deckart, A.; Bubendorf, L.; Mortezavi, A.; Arbelaez, E.; Winkel, D. J.; Heye, T.; Boll, D.; Merkle, E.; Hayoz, S.; Seifert, H.; Rentsch, C. A.
Show abstract
BackgroundLiterature suggests that prostate MRI exhibits better predictive capabilities compared to prostate-specific antigen (PSA) in detecting prostate cancer (PCa). Based on this, our present study investigates biparametric MRI (bpMRI) as a PSA-independent screening tool for PCa. ObjectiveThe primary endpoint was to assess the efforts and effectiveness of identifying 20 participants with clinically significant prostate cancer (csPCa) using bpMRI. Design, Setting, and ParticipantsBiopsy-naive men aged over 45 years were included. All participants underwent 3 Tesla bpMRI, PSA and digital rectal examination (DRE). Targeted-only biopsy was performed in participants with a suspicious lesion (PI-RADS[≥]3). Men with a negative bpMRI but suspicious DRE or elevated PSA had template biopsies. Pre-intended protocol adjustments were made post-interim analysis for PI-RADS 3 lesions: follow-up mpMRI after 6 months, biopsy only if lesions persisted or upgraded. Outcome Measurements and Statistical AnalysisBiopsy results underwent comparison using Fishers exact test and univariable logistic regression to pinpoint prognostic factors for positive biopsy. Results and LimitationsA total of 229 participants were enrolled in this analysis. Among these, 77 displayed suspicious PI-RADS lesions. A total of 79 participants underwent a biopsy. PCa was detected in 29 participants, of whom 21 had csPCa. BpMRI detected all 21 csPCa, whereas PSA and DRE missed 66.7%. Protocol adjustment led to a 54.6 % biopsy reduction in PI-RADS 3 lesions. Overall, 10.9 bpMRIs were needed to identify one participant with csPCa. A major limitation of the study is the lack of a control cohort undergoing template biopsies. ConclusionsOpportunistic screening utilising bpMRI as primary tool reveals participants with csPCa that traditional methods might overlook, even at low PSA levels. Patient summaryScreening with bpMRI and targeted biopsy identified csPCa in every 11th man, regardless of PSA levels. Preselecting patients based on PSA > 1 ng/ml and positive family history of PCa as well as other potential blood tests may further improve the effectiveness of bpMRI in this setting.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Protocol summary and statistical analysis plan for the randomized trial of early detection of clinically significant prostate cancer (ProScreen) 94%
- Retrospective Validation of an Artificial Intelligence System for Diagnostic Assessment of Prostate Biopsies on the ProMort Cohort: Study Protocol 93%
- Prescribing patterns for medical treatment of suspected prostatic obstruction: A spatiotemporal statistical analysis of Scottish open access data 90%
Similar papers in this journal
- Glycoprofiling of proteins as prostate cancer biomarkers: a multinational population study 93%
- The impact of positive surgical margin parameters and pathological stage on biochemical recurrence after radical prostatectomy: a systematic review and meta-analysis 92%
- An immunohistochemical prostate cell identification key indicates that aging shifts procollagen 1A1 production from myofibroblasts to fibroblasts in dogs prone to prostate-related urinary dysfunction 90%
Similar papers in this journal
- Volumetric lung cancer screening reduces unnecessary low-dose computed tomography scans: results from a single-centre prospective trial on 4,119 subjects 85%
- The NILS study protocol - a retrospective validation study of a preoperative decision-making tool for non-invasive lymph node staging in women with primary breast cancer [ISRCTN14341750] 85%
- A Machine Learning Ensemble Based on Radiomics to Predict BI-RADS Category and Reduce the Biopsy Rate of Ultrasound-Detected Suspicious Breast Masses 84%
Similar papers in this journal
- PSMA+ Extracellular Vesicles are a Biomarker for SABR in Oligorecurrent Prostate Cancer Analysis from the STOMP-like and ORIOLE trial cohorts 91%
- A Subset of Localized Prostate Cancer Displays an Immunogenic Phenotype Associated with Losses of Key Tumor Suppressor Genes 90%
- Assessment of Androgen Receptor splice variant-7 as a biomarker of clinical response in castration-sensitive prostate cancer 90%
Similar papers in this journal
- A population-level analysis of the protective effects of androgen deprivation therapy against COVID-19 disease incidence and severity 89%
- Prospective comparison of saliva and nasopharyngeal swab sampling for mass screening for COVID-19 84%
- Automatic detection of pituitary microadenoma from magnetic resonance imaging using deep learning algorithms 84%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.