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Test-retest repeatability of a deep learning architecture in detecting and segmenting clinically significant prostate cancer on apparent diffusion coefficient (ADC) maps

Crossref DOI link: https://doi.org/10.1007/s00330-020-07065-4

Published Online: 2020-07-23

Published Print: 2021-01

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

Authors

Hiremath, Amogh https://orcid.org/0000-0001-6937-9141
Shiradkar, Rakesh

Merisaari, Harri

Prasanna, Prateek

Ettala, Otto

Taimen, Pekka

Aronen, Hannu J.

Boström, Peter J.

Jambor, Ivan

Madabhushi, Anant
Funding

Funding for this research was provided by:

National Cancer Institute of the National Institutes of Health

National Center for Research Resources

VA Merit Review Award

DOD Prostate Cancer Idea Development Award

DOD Peer Reviewed Cancer Research Program

Ohio Third Frontier Technology Validation Fund, the Wallace H. Coulter Foundation Program in the Department of Biomedical Engineering and the Clinical and Translational Science Award
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Text and Data Mining valid from 2020-07-23

Version of Record valid from 2020-07-23
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Article History

Received: 2 April 2020

Revised: 22 May 2020

Accepted: 2 July 2020

First Online: 23 July 2020

Compliance with ethical standards

:

: The scientific guarantor of this publication is Dr. Anant Madabhushi.

: Amogh Hiremath: Philips Research - Former Employment. Dr. Madabhushi is an equity holder in Elucid Bioimaging and in Inspirata Inc. In addition he has served as a scientific advisory board member for Inspirata Inc, Astrazeneca, Bristol Meyers-Squibb and Merck. Currently he serves on the advisory board of Aiforia Inc. He also has sponsored research agreements with Philips, AstraZeneca and Bristol Meyers-Squibb. His technology has been licensed to Elucid Bioimaging. He is also involved in a NIH U24 grant with PathCore Inc, and 3 different R01 grants with Inspirata Inc.. The remaining authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article.

: Dr. Anant Madabhushi, Dr. Rakesh Shiradkar and Dr. Harri Merisaari kindly provided statistical advice for this manuscript.

: Written informed consent was waived by the Institutional Review Board.

: Institutional Review Board approval was obtained.

: The exact study subjects or cohorts have been previously reported in Merisaari et al Magn Reson Med. (2019) which is attached with the manuscript.

: • retrospective• observational/experimental• performed at one institution

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