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Nomogram To Predict Tumor Remnant Of Small Hepatocellular Carcinoma After Microwave Ablation.

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Nomogram To Predict Tumor Remnant Of Small Hepatocellular Carcinoma After Microwave Ablation.

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Nomogram to Predict Tumor Remnant of Small Hepatocellular Carcinoma after Microwave Ablation.

Chenyang Qiu¹, Yinchao Ma¹, Mengjun Xiao¹

¹Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China (C.Q., Y.M., M.X., Z.W., S.W., K.H., H.W.).

Academic Radiology

|October 24, 2024

View abstract on PubMed

Summary

This summary is machine-generated.

A new nomogram accurately predicts microwave ablation outcomes in hepatocellular carcinoma patients. This tool aids clinicians in selecting microwave ablation for small liver cancers, improving treatment decisions.

Keywords:

Ablation effect Hepatocellular carcinoma Microwave ablation Nomogram

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Area of Science:

Hepatobiliary Medicine
Oncology
Medical Imaging

Background:

Hepatocellular carcinoma (HCC) is a primary liver cancer with significant global incidence.
Microwave ablation (MWA) is a minimally invasive treatment option for early-stage HCC.
Predicting MWA efficacy is crucial for optimizing patient selection and treatment planning.

Purpose of the Study:

To develop and validate a predictive nomogram for assessing ablation outcomes following MWA in HCC patients.
To guide clinical decision-making for the selection of MWA in small HCC cases.

Main Methods:

A retrospective analysis of 233 HCC patients treated with MWA across two centers.
Inclusion of clinical, laboratory, and MR imaging data for feature screening using logistic regression.

Development of separate clinical and imaging feature models, culminating in a combined nomogram.

Model performance evaluation using Area Under the Curve (AUC), accuracy, sensitivity, specificity, and Decision Curve Analysis (DCA).

Main Results:

A nomogram integrating clinical and imaging features was developed and validated.
The nomogram demonstrated high predictive performance in an external validation cohort.
Achieved an AUC of 0.966, with sensitivity of 0.935, specificity of 0.882, and accuracy of 0.896.

Conclusions:

The developed nomogram effectively predicts postoperative ablation outcomes in HCC patients undergoing MWA.
This tool can assist clinicians in providing tailored treatment options for HCC patients.
The nomogram supports the judicious selection of MWA for small hepatocellular carcinomas.