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DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
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Computed tomography texture-based radiomics analysis in gallbladder cancer: initial experience.

Pankaj Gupta1, Pratyaksha Rana1, Balaji Ganeshan2

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Area of Science:

  • Radiology
  • Oncology
  • Medical Imaging Analysis

Background:

  • Gallbladder cancer (GBC) diagnosis and prognosis can be challenging.
  • Computed tomography (CT) is a key imaging modality for GBC evaluation.
  • Texture analysis offers quantitative insights into tissue heterogeneity.

Purpose of the Study:

  • To investigate computed tomography (CT) texture parameters in suspected gallbladder cancer (GBC).
  • To assess the utility of CT texture analysis in predicting histopathological grade and overall survival in GBC patients.

Main Methods:

  • Retrospective pilot study of patients with suspected GBC.
  • Radiomic feature extraction from CT images using research software.
  • Texture analysis performed on a single axial CT section in the portal venous phase.

Main Results:

  • Texture parameters like mean and kurtosis at medium scales differentiated tumor grades (p < 0.05).
  • Kurtosis at medium texture scales significantly correlated with patient survival (p = 0.020).
  • Multivariate analysis identified mean positive pixels, skewness, kurtosis, and standard deviation as significant survival predictors.

Conclusions:

  • CT texture-based radiomics analysis shows potential utility in GBC assessment.
  • Medium texture scale parameters (mean, kurtosis) may predict histological grade.
  • Kurtosis alone may serve as a predictor of survival in GBC.