Construction of machine learning models based on transrectal ultrasound combined with contrast-enhanced ultrasound to predict preoperative regional lymph node metastasis of rectal cancer

Construction of machine learning models based on transrectal ultrasound combined with contrast-enhanced ultrasound to predict preoperative regional lymph node metastasis of rectal cancer

Purpose: Constructing a machine learning model based on transrectal ultrasound (TRUS) combined with contrast-enhanced ultrasound (CEUS) to predict preoperative regional lymph node metastasis (RLNM) of rectal cancer and provide new references for decision-making. Materials and methods: 233 patients w...

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Bibliographic Details
Main Authors: Xuanzhang Huang, Zhendong Yang, Wanyue Qin, Xigui Li, Shitao Su, Jianyuan Huang
Format: Article
Language:English
Published: Elsevier 2024-02-01
Series:Heliyon
Subjects:
Rectal cancer
Regional lymph node metastasis
Transrectal ultrasound
Contrast-enhanced ultrasound
Machine learning
Predictive model
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024024642

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http://www.sciencedirect.com/science/article/pii/S2405844024024642

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