Validation of a built-in software in automatically reconstructing the tomographic images of the levator ani muscle.

Artificial intelligence Levator ani muscle Smart-pelvic™ Software Ultrasonography Women

Journal

International urogynecology journal
ISSN: 1433-3023
Titre abrégé: Int Urogynecol J
Pays: England
ID NLM: 101567041

Informations de publication

Date de publication:
29 Nov 2023
Historique:
received: 11 09 2023
accepted: 31 10 2023
medline: 29 11 2023
pubmed: 29 11 2023
entrez: 29 11 2023
Statut: aheadofprint

Résumé

Transperineal ultrasound (TPUS) is an effective tool for evaluating the integrity of the levator ani muscle (LAM). Several operating steps are required to obtain the standard multi-slice image of the LAM, which is experience dependent and time consuming. This study was aimed at evaluating the feasibility and reproducibility of the built-in software, Smart-pelvic™, in reconstructing standard tomographic images of LAM from 3D/4D TPUS volumes. This study was conducted at a tertiary teaching hospital, enrolling women who underwent TPUS. Tomographic images of the LAM were automatically reconstructed by Smart-pelvic The ultrasound volume of a total of 104 patients were included in this study. Using Smart-pelvic Using Smart-pelvic

Identifiants

pubmed: 38019307
doi: 10.1007/s00192-023-05686-z
pii: 10.1007/s00192-023-05686-z
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2023. The International Urogynecological Association.

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Auteurs

Enze Qu (E)

Department of Ultrasound, Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, Guangdong Province, China.

Shuangyu Wu (S)

Department of Ultrasound, Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, Guangdong Province, China.

Man Zhang (M)

Department of Ultrasound, Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, Guangdong Province, China.

Zeping Huang (Z)

Department of Ultrasound, Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, Guangdong Province, China.

Zhijuan Zheng (Z)

Department of Ultrasound, Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, Guangdong Province, China.

Xinling Zhang (X)

Department of Ultrasound, Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, Guangdong Province, China. zhxinl@mail.sysu.edu.cn.

Classifications MeSH