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Related Experiment Video

Updated: Feb 9, 2026

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[CT texture analysis in bladder carcinoma: histologic grade characterization].

Z H Liu1, J Y Shi2, H Y Wang3

  • 1Department of Radiology, Affiliated Hospital of Changzhi Institute of Traditional Chinese Medicine, Changzhi 046000, China.

Zhonghua Zhong Liu Za Zhi [Chinese Journal of Oncology]
|June 4, 2018
PubMed
Summary
This summary is machine-generated.

CT texture analysis (CTTA) effectively differentiates high-grade urothelial carcinoma (HGUC) from low-grade urothelial carcinoma (LGUC). Skewness from unenhanced CT images showed optimal diagnostic performance in this study.

Keywords:
Diagnosis, differentialHistological gradingQuantitative texture analysisTomography, spiral computedUrinary bladder neoplasms

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Area of Science:

  • Radiology
  • Oncology
  • Medical Imaging Analysis

Background:

  • Urothelial carcinoma of the bladder (UCB) grading is crucial for treatment decisions.
  • Distinguishing high-grade (HGUC) from low-grade (LGUC) urothelial carcinoma can be challenging.
  • CT texture analysis (CTTA) offers potential for non-invasive pathological assessment.

Purpose of the Study:

  • To evaluate the efficacy of CT texture analysis (CTTA) in differentiating the pathological grades of urothelial carcinoma of the bladder (UCB).
  • To identify specific CT texture parameters that can distinguish between HGUC and LGUC.
  • To assess the diagnostic performance of identified parameters.

Main Methods:

  • Retrospective analysis of 53 UCB lesions (27 HGUC, 26 LGUC) from 43 patients.
  • Pelvic CT and enhanced scanning performed on a single CT scanner.
  • Extraction of 92 texture parameters from volumes of interest (VOI) on both unenhanced and enhanced CT images.

Main Results:

  • Nine texture parameters showed significant differences between HGUC and LGUC groups.
  • Skewness from unenhanced CT images yielded the largest area under the curve (0.840±0.058).
  • Optimal cut-off for skewness achieved 92.59% sensitivity and 73.08% specificity for HGUC diagnosis.

Conclusions:

  • CT texture analysis (CTTA) is a valuable tool for distinguishing between LGUC and HGUC.
  • Skewness derived from unenhanced CT images demonstrates optimal performance for differentiating UCB grades.
  • CTTA may aid in non-invasively assessing bladder cancer pathological grade.