Meeting Banner
Abstract #3990

Enhancing prostate volume estimation: the role of artificial intelligence compared to conventional methods

Jiaheng Shang1, Jingyun Wu2, Yi Liu2, Pengsheng Wu3, Jianxiu Lian4, Xiaoying Wang2, and Kan Gong1
1Department of Urology, Peking University First Hospital, Beijing, China, 2Department of Radiology, Peking University First Hospital, Beijing, China, 3Beijing Smart Tree Medical Technology Co. Ltd., Beijing, China, 4Philips Healthcare, Beijing, China

Synopsis

Keywords: Analysis/Processing, Prostate

Motivation: There is a lack of standardization in the measurement of prostate volume.

Goal(s): To assess the accuracy of artificial intelligence (AI), magnetic resonance imaging (MRI) and transrectal ultrasound (TRUS) in prostate volume evaluation.

Approach: Comparing the consistency of prostate volume estimations by AI, MRI and TRUS when compared to the volume obtained from manual planimetry.

Results: AI outperformed MRI and TRUS in volumetric evaluation of prostates, particularly in cases of irregular-shaped prostates.

Impact: AI can automatically segment the prostate contours and demonstrates outstanding accuracy and reproducibility in estimating prostate volume. The advancement also empowers the promotion of PSA density, optimizes prostate cancer detection and ultimately offer clinical information for improving patient outcomes.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.

Keywords