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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

Crossref DOI link: https://doi.org/10.1007/s11547-022-01555-9

Published Online: 2022-09-17

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Cipollari, Stefano

Pecoraro, Martina

Forookhi, Alì

Laschena, Ludovica

Bicchetti, Marco

Messina, Emanuele

Lucciola, Sara

Catalano, Carlo

Panebianco, Valeria https://orcid.org/0000-0001-8466-918X
Funding

Funding for this research was provided by:

Università degli Studi di Roma La Sapienza
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Text and Data Mining valid from 2022-09-17

Version of Record valid from 2022-09-17
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Article History

Received: 1 June 2022

Accepted: 30 August 2022

First Online: 17 September 2022

Declarations

:

: The authors have no relevant financial or non-financial interests to disclose. The authors declare that they have no conflict of interest.

: This article does not contain any studies with human participants or animals performed by any of the authors.

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