Predictive Value of TRUS and CEUS Parameters for Lymph Node Metastasis in Rectal Cancer: A Retrospective Study

Shitao Su,* Xuanzhang Huang,* Xigui Li, Jun Meng, Jianyuan Huang Department of Medical Ultrasound, the First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, People’s Republic of China*These authors contributed equally...

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Main Authors: Su S, Huang X, Li X, Meng J, Huang J
Format: Article
Language:English
Published: Dove Medical Press 2025-06-01
Series:International Journal of General Medicine
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Online Access:https://www.dovepress.com/predictive-value-of-trus-and-ceus-parameters-for-lymph-node-metastasis-peer-reviewed-fulltext-article-IJGM
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author Su S
Huang X
Li X
Meng J
Huang J
author_facet Su S
Huang X
Li X
Meng J
Huang J
author_sort Su S
collection DOAJ
description Shitao Su,* Xuanzhang Huang,* Xigui Li, Jun Meng, Jianyuan Huang Department of Medical Ultrasound, the First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, People’s Republic of China*These authors contributed equally to this workCorrespondence: Jianyuan Huang, Department of Medical Ultrasound, the First Affiliated Hospital of Guangxi Medical University, 6 Shuangyong Road, Nanning, Guangxi Zhuang Autonomous Region, 530001, People’s Republic of China, Tel +86 771 5356899, Email huangjianyuan@sr.gxmu.edu.cnPurpose: To assess the predictive value of transrectal ultrasound (TRUS) combined with qualitative and quantitative parameters of contrast-enhanced ultrasound (CEUS) for lymph node metastasis (LNM) in rectal cancer (RC).Patients and Methods: This retrospective study analyzed preoperative clinical data, qualitative and quantitative TRUS and CEUS parameters, and postoperative pathological data from 535 patients with RC confirmed by surgical pathology. Independent predictors of LNM were identified through univariate and multivariate binary logistic regression analysis. Two predictive models were developed: one based on TRUS/CEUS parameters, and another combining ultrasonographic parameters with clinical indicators. Model calibration was evaluated using the Hosmer-Lemeshow test, and diagnostic performance was quantified via receiver operating characteristic (ROC) curve analysis.Results: Multivariate analysis revealed ultrasonographic tumor (uT) stage(OR=1.751,P=0.042), ultrasonographic nodal (uN) stage (OR=2.279,P< 0.001), peak intensity ratio(PI-ratio: OR=0.799,P< 0.001), and slope ratio (S-ratio: OR=0.997,P=0.008) as independent predictors of LNM. When incorporating clinical indicators, the combined model identified uN stage (OR=2.351,P< 0.001), PI-ratio (OR=0.784,P< 0.001), PI-difference (OR=0.997,P=0.011), S-ratio (OR=1.046,P=0.048), CEA (OR=2.324,P< 0.001), and CA199 (OR=3.020,P=0.003) as significant predictors. The US model demonstrated an AUC of 0.792 (95% CI: 0.755– 0.829), while the combined model achieved superior performance with an AUC of 0.815 (95% CI: 0.780– 0.850) (Z=− 2.076, P=0.038). Both models showed satisfactory calibration (Hosmer-Lemeshow test: P> 0.05).Conclusion: The predictive model constructed based on preoperative TRUS combined with CEUS quantitative parameters, along with its combined model incorporating clinical biomarkers (CEA, CA199), can effectively predict LNM in RC, providing a non-invasive and quantifiable preoperative assessment tool for clinical practice.Keywords: rectal cancer, transrectal ultrasound, contrast-enhanced ultrasound, lymph node metastasis, logistic regression model
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spelling doaj-art-dfde30c1d15544b287f9371bb102d3f32025-08-20T02:24:13ZengDove Medical PressInternational Journal of General Medicine1178-70742025-06-01Volume 18Issue 133353345104140Predictive Value of TRUS and CEUS Parameters for Lymph Node Metastasis in Rectal Cancer: A Retrospective StudySu S0Huang X1Li X2Meng J3Huang J4Department of Medical UltrasoundDepartment of Medical UltrasoundDepartment of Medical UltrasoundDepartment of Medical UltrasoundDepartment of Medical UltrasoundShitao Su,* Xuanzhang Huang,* Xigui Li, Jun Meng, Jianyuan Huang Department of Medical Ultrasound, the First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, People’s Republic of China*These authors contributed equally to this workCorrespondence: Jianyuan Huang, Department of Medical Ultrasound, the First Affiliated Hospital of Guangxi Medical University, 6 Shuangyong Road, Nanning, Guangxi Zhuang Autonomous Region, 530001, People’s Republic of China, Tel +86 771 5356899, Email huangjianyuan@sr.gxmu.edu.cnPurpose: To assess the predictive value of transrectal ultrasound (TRUS) combined with qualitative and quantitative parameters of contrast-enhanced ultrasound (CEUS) for lymph node metastasis (LNM) in rectal cancer (RC).Patients and Methods: This retrospective study analyzed preoperative clinical data, qualitative and quantitative TRUS and CEUS parameters, and postoperative pathological data from 535 patients with RC confirmed by surgical pathology. Independent predictors of LNM were identified through univariate and multivariate binary logistic regression analysis. Two predictive models were developed: one based on TRUS/CEUS parameters, and another combining ultrasonographic parameters with clinical indicators. Model calibration was evaluated using the Hosmer-Lemeshow test, and diagnostic performance was quantified via receiver operating characteristic (ROC) curve analysis.Results: Multivariate analysis revealed ultrasonographic tumor (uT) stage(OR=1.751,P=0.042), ultrasonographic nodal (uN) stage (OR=2.279,P< 0.001), peak intensity ratio(PI-ratio: OR=0.799,P< 0.001), and slope ratio (S-ratio: OR=0.997,P=0.008) as independent predictors of LNM. When incorporating clinical indicators, the combined model identified uN stage (OR=2.351,P< 0.001), PI-ratio (OR=0.784,P< 0.001), PI-difference (OR=0.997,P=0.011), S-ratio (OR=1.046,P=0.048), CEA (OR=2.324,P< 0.001), and CA199 (OR=3.020,P=0.003) as significant predictors. The US model demonstrated an AUC of 0.792 (95% CI: 0.755– 0.829), while the combined model achieved superior performance with an AUC of 0.815 (95% CI: 0.780– 0.850) (Z=− 2.076, P=0.038). Both models showed satisfactory calibration (Hosmer-Lemeshow test: P> 0.05).Conclusion: The predictive model constructed based on preoperative TRUS combined with CEUS quantitative parameters, along with its combined model incorporating clinical biomarkers (CEA, CA199), can effectively predict LNM in RC, providing a non-invasive and quantifiable preoperative assessment tool for clinical practice.Keywords: rectal cancer, transrectal ultrasound, contrast-enhanced ultrasound, lymph node metastasis, logistic regression modelhttps://www.dovepress.com/predictive-value-of-trus-and-ceus-parameters-for-lymph-node-metastasis-peer-reviewed-fulltext-article-IJGMRectal cancerTransrectal ultrasoundContrast-enhanced ultrasoundLymph node metastasisLogistic regression model
spellingShingle Su S
Huang X
Li X
Meng J
Huang J
Predictive Value of TRUS and CEUS Parameters for Lymph Node Metastasis in Rectal Cancer: A Retrospective Study
International Journal of General Medicine
Rectal cancer
Transrectal ultrasound
Contrast-enhanced ultrasound
Lymph node metastasis
Logistic regression model
title Predictive Value of TRUS and CEUS Parameters for Lymph Node Metastasis in Rectal Cancer: A Retrospective Study
title_full Predictive Value of TRUS and CEUS Parameters for Lymph Node Metastasis in Rectal Cancer: A Retrospective Study
title_fullStr Predictive Value of TRUS and CEUS Parameters for Lymph Node Metastasis in Rectal Cancer: A Retrospective Study
title_full_unstemmed Predictive Value of TRUS and CEUS Parameters for Lymph Node Metastasis in Rectal Cancer: A Retrospective Study
title_short Predictive Value of TRUS and CEUS Parameters for Lymph Node Metastasis in Rectal Cancer: A Retrospective Study
title_sort predictive value of trus and ceus parameters for lymph node metastasis in rectal cancer a retrospective study
topic Rectal cancer
Transrectal ultrasound
Contrast-enhanced ultrasound
Lymph node metastasis
Logistic regression model
url https://www.dovepress.com/predictive-value-of-trus-and-ceus-parameters-for-lymph-node-metastasis-peer-reviewed-fulltext-article-IJGM
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