1. Detection of Prostate Cancer Using Biparametric Prostate <scp>MRI</scp> , Radiomics, and Kallikreins: A Retrospective Multicenter Study of Men With a Clinical Suspicion of Prostate Cancer
- Author
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Jani Saunavaara, Juha Knaapila, Hannu J. Aronen, Kim Pettersson, Janne Verho, Ugo Falagario, Ivan Jambor, Henna Kekki, Antti Rannikko, Tuomas Mirtti, Tarja Lamminen, Alberto Martini, Jarno Riikonen, Marjo Seppänen, Ferdhos L. Khan, Kari T. Syvänen, Aida Steiner, Tapio Pahikkala, Ileana Montoya Perez, Peter J. Boström, Otto Ettala, Elise Syrjälä, Pekka Taimen, Harri Merisaari, Tampere University, Department of Surgery, Clinical Medicine, Clinicum, Urologian yksikkö, HUS Abdominal Center, Research Program in Systems Oncology, HUSLAB, and Department of Pathology
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Male ,medicine.medical_specialty ,Multivariate analysis ,kallikreins ,Population ,Single Center ,Pelvis ,030218 nuclear medicine & medical imaging ,PSA ,03 medical and health sciences ,Prostate cancer ,0302 clinical medicine ,multi-institutional trial ,Prostate ,AREAS ,OPERATING CHARACTERISTIC CURVES ,diffusion weighted imaging ,prostate cancer screening ,medicine ,Humans ,TARGETED BIOPSY ,Radiology, Nuclear Medicine and imaging ,Stage (cooking) ,education ,Retrospective Studies ,education.field_of_study ,Receiver operating characteristic ,biparametric MRI ,business.industry ,Prostatic Neoplasms ,prostate cancer ,3126 Surgery, anesthesiology, intensive care, radiology ,medicine.disease ,Magnetic Resonance Imaging ,3. Good health ,medicine.anatomical_structure ,Prostate cancer screening ,030220 oncology & carcinogenesis ,Radiology ,business ,SYSTEM - Abstract
Background: Accurate detection of clinically significant prostate cancer (csPCa), Gleason Grade Group ≥ 2, remains a challenge. Prostate MRI radiomics and blood kallikreins have been proposed as tools to improve the performance of biparametric MRI (bpMRI). Purpose: To develop and validate radiomics and kallikrein models for the detection of csPCa. Study Type: Retrospective. Population: A total of 543 men with a clinical suspicion of csPCa, 411 (76%, 411/543) had kallikreins available and 360 (88%, 360/411) did not take 5-alpha-reductase inhibitors. Two data splits into training, validation (split 1: single center, n = 72; split 2: random 50% of pooled datasets from all four centers), and testing (split 1: 4 centers, n = 288; split 2: remaining 50%) were evaluated. Field strength/Sequence: A 3 T/1.5 T, TSE T2-weighted imaging, 3x SE DWI. Assessment: In total, 20,363 radiomic features calculated from manually delineated whole gland (WG) and bpMRI suspicion lesion masks were evaluated in addition to clinical parameters, prostate-specific antigen, four kallikreins, MRI-based qualitative (PI-RADSv2.1/IMPROD bpMRI Likert) scores. Statistical Tests: For the detection of csPCa, area under receiver operating curve (AUC) was calculated using the DeLong's method. A multivariate analysis was conducted to determine the predictive power of combining variables. The values of P-value < 0.05 were considered significant. Results: The highest prediction performance was achieved by IMPROD bpMRI Likert and PI-RADSv2.1 score with AUC = 0.85 and 0.85 in split 1, 0.85 and 0.83 in split 2, respectively. bpMRI WG and/or kallikreins demonstrated AUCs ranging from 0.62 to 0.73 in split 1 and from 0.68 to 0.76 in split 2. AUC of bpMRI lesion-derived radiomics model was not statistically different to IMPROD bpMRI Likert score (split 1: AUC = 0.83, P-value = 0.306; split 2: AUC = 0.83, P-value = 0.488). Data Conclusion: The use of radiomics and kallikreins failed to outperform PI-RADSv2.1/IMPROD bpMRI Likert and their combination did not lead to further performance gains. Level of Evidence: 1. Technical Efficacy: Stage 2. publishedVersion
- Published
- 2021
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