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

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.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/3990
Primary Topic
Prostate Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Jianxiu Lian, Jiwen Shang, Jingyun Wu, Kan Gong et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Prostate Cancer Diagnosis and Treatment
article

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

Jianxiu Lian, Jiwen Shang, Jingyun Wu, Kan Gong, Yi Liu, Pengsheng Wu, Xiaoying Wang
article en

Abstract

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.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 64%
Prostate Cancer Diagnosis and Treatment
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