2026-04-13T07:01:10Zhttps://recercat.cat/oai/request

oai:recercat.cat:11351/120682025-05-03T13:45:37Zcom_2072_378071com_2072_378040col_2072_378097

00925njm 22002777a 4500 dc Antolín, Andreu author Mast, Richard author Arce, Javier author Almodovar, Ramon author Cortada Lluelles, Roger author Maceda, Almudena author ESCOBAR, MANUEL author Roson Gradaille, Nuria author Enrique, Trilla Herrera author Morote Robles, Juan author 2024-10-16T09:01:54Z 2024-10-16T09:01:54Z 2024-08-24 Clinically significant prostate cancer; Prediction; Radiomics Càncer de pròstata clínicament significatiu; Predicció; Radiòmica Cáncer de próstata clínicamente significativo; Predicción; Radiómica Early detection of clinically significant prostate cancer (csPCa) has substantially improved with the latest PI-RADS versions. However, there is still an overdiagnosis of indolent lesions (iPCa), and radiomics has emerged as a potential solution. The aim of this systematic review is to evaluate the role of handcrafted and deep radiomics in differentiating lesions with csPCa from those with iPCa and benign lesions on prostate MRI assessed with PI-RADS v2 and/or 2.1. The literature search was conducted in PubMed, Cochrane, and Web of Science databases to select relevant studies. Quality assessment was carried out with Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2), Radiomic Quality Score (RQS), and Checklist for Artificial Intelligence in Medical Imaging (CLAIM) tools. A total of 14 studies were deemed as relevant from 411 publications. The results highlighted a good performance of handcrafted and deep radiomics methods for csPCa detection, but without significant differences compared to radiologists (PI-RADS) in the few studies in which it was assessed. Moreover, heterogeneity and restrictions were found in the studies and quality analysis, which might induce bias. Future studies should tackle these problems to encourage clinical applicability. Prospective studies and comparison with radiologists (PI-RADS) are needed to better understand its potential. This paper was funded by the European project FLUTE, which has received funding from HORIZON-HLTH2022-IND-13 action under the Horizon Europe Framework with grant agreement Nr.101095382. Aprenentatge automàtic Pròstata - Càncer - Imatgeria per ressonància magnètica Biòpsia Càncer - Detecció precoç DISEASES::Neoplasms::Neoplasms by Site::Urogenital Neoplasms::Genital Neoplasms, Male::Prostatic Neoplasms Other subheadings::Other subheadings::Other subheadings::/diagnostic imaging ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT::Diagnosis::Diagnostic Techniques and Procedures::Clinical Laboratory Techniques::Cytological Techniques::Cytodiagnosis::Biopsy::Image-Guided Biopsy ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT::Diagnosis::Early Diagnosis::Early Detection of Cancer PHENOMENA AND PROCESSES::Mathematical Concepts::Algorithms::Artificial Intelligence::Machine Learning ENFERMEDADES::neoplasias::neoplasias por localización::neoplasias urogenitales::neoplasias de los genitales masculinos::neoplasias de la próstata Otros calificadores::Otros calificadores::Otros calificadores::/diagnóstico por imagen TÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS::diagnóstico::técnicas y procedimientos diagnósticos::técnicas de laboratorio clínico::técnicas citológicas::citodiagnóstico::biopsia::biopsia guiada por imágenes TÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS::diagnóstico::diagnóstico precoz::detección precoz del cáncer FENÓMENOS Y PROCESOS::conceptos matemáticos::algoritmos::inteligencia artificial::aprendizaje automático The Role of Radiomics in the Prediction of Clinically Significant Prostate Cancer in the PI-RADS v2 and v2.1 Era: A Systematic Review