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A CT-Based Radiomics Model for Evaluating Peritoneal Cancer Index in Peritoneal Metastasis Cases: A Preliminary

Qianwen Zhang¹, Yuan Yuan¹, Sijie Li¹

¹Department of Radiology, Changhai Hospital, Shanghai, China.

Academic Radiology

|September 30, 2022

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A new radiomics model using preoperative CT scans shows improved accuracy in evaluating the peritoneal cancer index (PCI) for peritoneal metastasis (PM) compared to standard CT-PCI. This advanced model aids in optimizing individualized treatment strategies for cancer patients.

Area of Science:

Radiology and Medical Imaging
Oncology
Artificial Intelligence in Medicine

Background:

Peritoneal metastasis (PM) significantly impacts cancer patient prognosis.
Accurate evaluation of the peritoneal cancer index (PCI) is crucial for treatment planning.
Current methods like CT-based PCI (CT-PCI) have limitations in diagnostic performance.

Purpose of the Study:

To develop and validate a radiomics model for assessing PCI in PM patients.
To compare the diagnostic performance of the radiomics model against CT-PCI.
To explore the potential of radiomics in optimizing individualized cancer treatment strategies.

Main Methods:

Retrospective analysis of CT scans from 163 patients with pathologically confirmed PM (pancreatic, colon, rectal, gastric cancers).

Keywords:

CT PCI Radiomics peritoneal metastasis

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Development of a radiomics model using support vector machine (SVM) based on selected features from portal venous phase CT.

Validation of the model's performance using receiver operating characteristic (ROC) and decision curve analysis (DCA) in training, test, and external validation cohorts.

Main Results:

The radiomics model demonstrated higher agreement and diagnostic performance in detecting surgical PCI (sPCI) compared to CT-PCI.
The radiomics model achieved superior AUC values (0.894, 0.822, 0.810) across training, test, and validation sets versus CT-PCI (0.749, 0.678, 0.693).
Decision curve analysis confirmed the clinical usefulness of the radiomics model in an external validation set.

Conclusions:

A radiomics model derived from preoperative CT scans significantly improves PCI evaluation in PM patients.
The radiomics approach offers enhanced agreement and diagnostic accuracy over CT-PCI.
This model holds potential for refining personalized treatment strategies in peritoneal metastasis management.