Evidence map›Paper›PMID 40531399›Full record

ArticleAnnals of surgical oncology2025

Artificial Intelligence-Assisted Segmentation of Prostate Tumors and Neurovascular Bundles: Applications in Precision Surgery for Prostate Cancer.

Haonan Mei, Rui Yang, Jun Huang, Panpan Jiao, Xiuheng Liu, Zhiyuan Chen, Hui Chen, Qingyuan Zheng

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Article in Annals of surgical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
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4citing papers in PubMed
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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Haonan Mei *Department of Urology, Renmin Hospital of Wuhan University, 238 Jiefang Road, Wuchang District, Wuhan, 430060, Hubei, China.
Rui Yang *Department of Urology, Renmin Hospital of Wuhan University, 238 Jiefang Road, Wuchang District, Wuhan, 430060, Hubei, China.
Jun Huang *Department of Urology, Renmin Hospital of Wuhan University, 238 Jiefang Road, Wuchang District, Wuhan, 430060, Hubei, China.
Panpan JiaoDepartment of Urology, Renmin Hospital of Wuhan University, 238 Jiefang Road, Wuchang District, Wuhan, 430060, Hubei, China.
Xiuheng LiuDepartment of Urology, Renmin Hospital of Wuhan University, 238 Jiefang Road, Wuchang District, Wuhan, 430060, Hubei, China.
Zhiyuan ChenDepartment of Urology, Renmin Hospital of Wuhan University, 238 Jiefang Road, Wuchang District, Wuhan, 430060, Hubei, China.
Hui ChenDepartment of Urology, Renmin Hospital of Wuhan University, 238 Jiefang Road, Wuchang District, Wuhan, 430060, Hubei, China. drchenhuiyx@whu.edu.cn.
Qingyuan ZhengDepartment of Urology, Renmin Hospital of Wuhan University, 238 Jiefang Road, Wuchang District, Wuhan, 430060, Hubei, China. zqy710890394@whu.edu.cn.ORCID http://orcid.org/0000-0003-4682-3857

Funding

China Primary Health Care Foundation NO.025Hubei Key Laboratory Open Project-Seed Fund Project 2024KFZ028Hubei Province Centrally Guided Local Science and Technology Development Special Project NO.2022BGE232Hubei Province Key R&D (Research and Development) Project NO. 2020BCB051
6 · The paper itself

Abstract

backgroundThe aim of this study was to guide prostatectomy by employing artificial intelligence for the segmentation of tumor gross tumor volume (GTV) and neurovascular bundles (NVB).

methodsThe preservation and dissection of NVB differ between intrafascial and extrafascial robot-assisted radical prostatectomy (RARP), impacting postoperative urinary control. We trained the nnU-Net v2 neural network using data from 220 patients in the PI-CAI cohort for the segmentation of prostate GTV and NVB in biparametric magnetic resonance imaging (bpMRI). The model was then validated in an external cohort of 209 patients from Renmin Hospital of Wuhan University (RHWU). Utilizing three-dimensional reconstruction and point cloud analysis, we explored the spatial distribution of GTV and NVB in relation to intrafascial and extrafascial approaches. We also prospectively included 40 patients undergoing intrafascial and extrafascial RARP, applying the aforementioned procedure to classify the surgical approach. Additionally, 3D printing was employed to guide surgery, and follow-ups on short- and long-term urinary function in patients were conducted.

resultsThe nnU-Net v2 neural network demonstrated precise segmentation of GTV, NVB, and prostate, achieving Dice scores of 0.5573 ± 0.0428, 0.7679 ± 0.0178, and 0.7483 ± 0.0290, respectively. By establishing the distance from GTV to NVB, we successfully predicted the surgical approach. Urinary control analysis revealed that the extrafascial approach yielded better postoperative urinary function, facilitating more refined management of patients with prostate cancer and personalized medical care.

conclusionsArtificial intelligence technology can accurately identify GTV and NVB in preoperative bpMRI of patients with prostate cancer and guide the choice between intrafascial and extrafascial RARP. Patients undergoing intrafascial RARP with preserved NVB demonstrate improved postoperative urinary control.

Indexed as

3D printing technologyArtificial intelligenceBiparametric MRINeurovascular bundleProstate cancerRobot-assisted radical prostatectomyTumor segmentationUrinary control

Identifiers

PMID40531399

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