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Prospective Validation Study of a Novel Integrated Pathway Based on Clinical Features, Magnetic Resonance Imaging Biomarkers, and MicroRNAs for Early Detection of Prostate Cancer.
Pecoraro M, Catanzaro G, Conte F, Besharat ZM, Messina E, Laschena L, Trocchianesi S, Splendiani E, Sciarra A, Catalano C, Paci P, Ferretti E, Panebianco V. Pecoraro M, et al. Among authors: laschena l. Eur Urol Oncol. 2024 Feb;7(1):73-82. doi: 10.1016/j.euo.2023.05.008. Epub 2023 Jun 1. Eur Urol Oncol. 2024. PMID: 37270379 Free article.
Bridging the experience gap in prostate multiparametric magnetic resonance imaging using artificial intelligence: A prospective multi-reader comparison study on inter-reader agreement in PI-RADS v2.1, image quality and reporting time between novice and expert readers.
Forookhi A, Laschena L, Pecoraro M, Borrelli A, Massaro M, Dehghanpour A, Cipollari S, Catalano C, Panebianco V. Forookhi A, et al. Among authors: laschena l. Eur J Radiol. 2023 Apr;161:110749. doi: 10.1016/j.ejrad.2023.110749. Epub 2023 Feb 19. Eur J Radiol. 2023. PMID: 36812699 Free article.
Seeing is Believing: State of the Art Imaging of Bladder Cancer.
Messina E, Pecoraro M, Pisciotti ML, Del Giudice F, Lucciola S, Bicchetti M, Laschena L, Roberto M, De Berardinis E, Franco G, Panebianco V. Messina E, et al. Among authors: laschena l. Semin Radiat Oncol. 2023 Jan;33(1):12-20. doi: 10.1016/j.semradonc.2022.10.002. Semin Radiat Oncol. 2023. PMID: 36517189 Review.
Biparametric prostate MRI: impact of a deep learning-based software and of quantitative ADC values on the inter-reader agreement of experienced and inexperienced readers.
Cipollari S, Pecoraro M, Forookhi A, Laschena L, Bicchetti M, Messina E, Lucciola S, Catalano C, Panebianco V. Cipollari S, et al. Among authors: laschena l. Radiol Med. 2022 Nov;127(11):1245-1253. doi: 10.1007/s11547-022-01555-9. Epub 2022 Sep 17. Radiol Med. 2022. PMID: 36114928 Free PMC article.