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Detection and Isolation of Cancer in Prostate Biopsies Using Stimulated Raman Histology and Artificial Intelligence
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Symmetry based prostate cancer detection.

L Yang1, Y Xie, B Li

  • 11 College of Electronic Engineering, Chengdu University of Information Technology, Chengdu, Sichuan, China.

The British Journal of Radiology
|April 23, 2015
PubMed
Summary

Prostate cancer screening can be improved by analyzing left and right half symmetry in T2-weighted images (T2WI). This texture bilateral symmetry analysis shows significant differences between healthy and cancerous prostates, aiding in detection.

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Area of Science:

  • Radiology
  • Medical Imaging Analysis
  • Oncology

Background:

  • Prostate cancer (PCa) is a leading cause of cancer death in men.
  • Accurate screening and detection methods are crucial for early intervention.
  • T2-weighted imaging (T2WI) is a standard MRI technique for prostate evaluation.

Purpose of the Study:

  • To evaluate the effectiveness of left and right half symmetry analysis on prostate T2WI for PCa screening.
  • To determine if symmetry analysis can improve PCa detection and localization for biopsy.

Main Methods:

  • Retrospective analysis of T2WI data from 66 males (33 PCa, 33 controls).
  • Prostate segmentation using thresholding geometric active contours algorithm.
  • Extraction of longitudinal symmetry axes and calculation of cross-correlation coefficients (CCs) for left and right prostate halves.

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Main Results:

  • Mean CCs differed significantly between the PCa (0.73 ± 0.05) and control (0.82 ± 0.06) groups (p < 0.001).
  • Receiver operating characteristic curve analysis yielded an area under the curve of 0.87.
  • The method achieved 91% specificity and 70% sensitivity for PCa detection.

Conclusions:

  • Texture bilateral symmetry analysis of prostate T2WI is a promising tool for PCa screening.
  • Symmetry indices derived from T2WI can aid in PCa detection and tumor localization for targeted biopsies.