Volumetric and Voxel-Wise Analysis of Dominant Intraprostatic Lesions on Multiparametric MRI

Joon Lee1, Eric Carver1, Aharon Feldman1

  • 1Department of Radiation Oncology, Henry Ford Health System, Detroit, MI, United States.

Frontiers in Oncology
|July 24, 2019
PubMed

Insights

Multiparametric MRI (mpMRI) shows good agreement between T2-weighted and ADC map contours for prostate cancer dominant lesions. However, correlation with tumor location and grade is limited, requiring further research for precision radiotherapy targeting.

Area of Science:

  • Radiology
  • Oncology
  • Medical Imaging

Background:

  • Multiparametric MRI (mpMRI) is crucial for prostate cancer diagnosis and localization.
  • mpMRI aids in identifying the dominant intraprostatic lesion (DIL) for radiotherapy boost.
  • Investigating contour correlation across mpMRI sequences is vital for treatment planning.

Purpose of the Study:

  • To assess the correlation between dominant tumor foci contoured on different mpMRI sequences (T2W, ADC, Ktrans).
  • To evaluate the agreement of DIL delineation across various imaging modalities.
  • To understand the relationship between mpMRI contours and clinicopathological features.

Main Methods:

  • mpMRI data from 90 prostate cancer patients were analyzed.
  • T2-weighted (T2W), apparent diffusion coefficient (ADC), and Ktrans images were used.
  • Contour agreement was quantified using Hausdorff distance, MDA, Dice, and Jaccard coefficients.
  • Voxel-wise Spearman correlation was calculated between image pairs.

Main Results:

  • High agreement was observed between T2W and ADC map contours (Dice: 0.74, Jaccard: 0.60).
  • Correlation between contours and tumor location/Gleason grade was minimal.
  • Ktrans values showed limited utility in distinguishing cancerous regions in some cases.

Conclusions:

  • T2W and ADC maps demonstrate good agreement for DIL contouring in prostate cancer.
  • Current mpMRI sequences show weak correlation with tumor characteristics, posing challenges for precision radiotherapy.
  • A Boolean sum volume (BSV) combining MR sequences may improve DIL boost volume delineation.

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