Deep-learning-based object detection of pelvic autonomic nerves during total mesorectal excision

doi:10.3748/wjg.121592

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 32, Issue 30

This Article

(24)

(23)

(0)

(1)

(25)

(330)

Peer-Review Report of This Article

CrossCheck and Google Search of This Article

Academic Rules and Norms of This Article

Citation of this article

Corresponding Author of This Article

Research Domain of This Article

Article-Type of This Article

Open-Access Policy of This Article

Times Cited Counts in Google of This Article

Journal Information of This Article

Publication Name

World Journal of Gastroenterology

ISSN

1007-9327

Publisher of This Article

Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Retrospective Study

Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.

World J Gastroenterol. Aug 14, 2026; 32(30): 121592
Published online Aug 14, 2026. doi: 10.3748/wjg.121592

Table 3 Comparison of recognition rates and missed diagnosis rates for 5 categories of pelvic autonomic nerves among the deep learning model, junior surgeons and senior surgeons, n (%)

Category	Annotation box	Group	Recognized cases	Missed cases	P value
IMP	297	DL model	228 (76.7)	69 (23.3)
		Senior surgeon	222 (74.8)	75 (25.2)	0.682
		Junior surgeon	198 (66.7)	99 (33.3)	0.021
SHP	37	DL model	27 (72.1)	10 (27.9)
		Senior surgeon	26 (70.3)	11 (29.7)	0.895
		Junior surgeon	20 (54.1)	17 (45.9)	0.038
HN	224	DL model	157 (70.4)	67 (29.6)
		Senior surgeon	152 (67.9)	72 (32.1)	0.713
		Junior surgeon	132 (58.9)	92 (41.1)	0.017
PN	288	DL model	222 (77.1)	66 (22.9)
		Senior surgeon	216 (75.0)	72 (25.0)	0.758
		Junior surgeon	192 (66.7)	96 (33.3)	0.024
NVB	84	DL model	73 (87.1)	11 (12.9)
		Senior surgeon	71 (84.5)	13 (15.5)	0.812
		Junior surgeon	62 (73.8)	22 (26.2)	0.041
Sum	930	DL model	707 (76.0)	223 (24.0)
		Senior surgeon	687 (73.9)	243 (26.1)	0.156
		Junior surgeon	604 (64.9)	326 (35.1)	0.001

All P values were compared with the deep learning model group. DL: Deep learning; IMP: Inferior mesenteric plexus; SHP: Superior hypogastric plexus; HN: Hypogastric nerve; PN: Pelvic nerve; NVB: Neurovascular bundle.

Full Size Table

Citation: Zhang Q, Li J, Meng T, Chen ZF, Zhou XZ, Lu XR. Deep-learning-based object detection of pelvic autonomic nerves during total mesorectal excision. World J Gastroenterol 2026; 32(30): 121592
URL: https://www.wjgnet.com/1007-9327/full/v32/i30/121592.htm
DOI: https://dx.doi.org/10.3748/wjg.121592

Zhang Q, Li J, Meng T, Chen ZF, Zhou XZ, Lu XR. Deep-learning-based object detection of pelvic autonomic nerves during total mesorectal excision. World J Gastroenterol 2026; 32(30): 121592 [DOI: 10.3748/wjg.121592]

All content on this site: Copyright © 1993-2026 Baishideng Publishing Group Inc, its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.