External validation of the computerized analysis of TRUS of the prostate with the ANNA/C-TRUS system: a potential role of artificial intelligence for improving prostate cancer detection-Reference-Cited by-同舟云学术

External validation of the computerized analysis of TRUS of the prostate with the ANNA/C-TRUS system: a potential role of artificial intelligence for improving prostate cancer detection

Published:2022-03-06 Issue:3 Volume:41 Page:619-625
ISSN:1433-8726
Container-title:World Journal of Urology
language:en
Short-container-title:World J Urol

Author:

Lorusso Vito^ORCID,Kabre Boukary^ORCID,Pignot Geraldine^ORCID,Branger Nicolas,Pacchetti Andrea,Thomassin-Piana Jeanne,Brunelle Serge^ORCID,Nicolai Nicola^ORCID,Musi Gennaro^ORCID,Salem Naji,Montanari Emanuele^ORCID,de Cobelli Ottavio^ORCID,Gravis Gwenaelle^ORCID,Walz Jochen^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Urology

Link

https://link.springer.com/content/pdf/10.1007/s00345-022-03965-w.pdf

Reference22 articles.

1. Mottet N, van den Bergh RCN, Briers E et al (2021) EAU-EANM-ESTRO-ESUR-SIOG guidelines on prostate cancer-2020 update. Part 1: screening, diagnosis, and local treatment with curative intent. Eur Urol 79(2):243–262. https://doi.org/10.1016/j.eururo.2020.09.042

2. Beemsterboer PM, Kranse R, de Koning HJ, Habbema JD, Schröder FH (1999) Changing role of 3 screening modalities in the European randomized study of screening for prostate cancer (Rotterdam). Int J Cancer 84:437–441. https://doi.org/10.1002/(SICI)1097-0215(19990820)84:4%3c437::AID-IJC19%3e3.0.CO;2-S

3. Loch T, Leuschner I, Genberg C, Weichert-Jacobsen K, Küppers F, Yfantis E, Evans M, Tsarev V, Stöckle M (1999) Artificial neural network analysis (ANNA) of prostatic transrectal ultrasound. Prostate 39(3):198–204. https://doi.org/10.1002/(SICI)1097-0045(19990515)39:3%3c198::AID-PROS8%3e3.0.CO;2-X

4. Loch T, Leuschner I, Genberg C, Weichert-Jacobsen K, Küppers F, Retz M, Lehmann J, Yfantis E, Evans M, Tsarev V, Stöckle M (2000) Weiterentwicklung des transrektalen Ultraschalls. Artifizielle neuronale Netzwerkanalyse (ANNA) in der Erkennung und Stadieneinteilung des Prostatakarzinoms [Improvement of transrectal ultrasound. Artificial neural network analysis (ANNA) in detection and staging of prostatic carcinoma]. Urologe A 39(4):341–347. https://doi.org/10.1007/s001200050367

5. Ahmed HU, El-Shater Bosaily A, Brown LC, Gabe R, Kaplan R, Parmar MK, Collaco-Moraes Y, Ward K, Hindley RG, Freeman A, Kirkham AP, Oldroyd R, Parker C, Emberton M, PROMIS study group (2017) Diagnostic accuracy of multi-parametric MRI and TRUS biopsy in prostate cancer (PROMIS): a paired validating confirmatory study. Lancet 389(10071):815–822. https://doi.org/10.1016/S0140-6736(16)32401-1

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