A Comparative Study of Multiparametric MRI Sequences in Measuring Prostate Cancer Index Lesion Volume

Omer Bagcilar1, Deniz Alis2, Mustafa Seker2

  • 1Silivri State Hospital, TR.

Abstract

Insights

Multiparametric prostate MRI (mpMRI) sequences like T2W, DWI, ADC, and DCE underestimate prostate cancer (PCa) lesion volumes compared to pathology. The use of an endorectal coil (ERC) further exacerbates this underestimation.

Area of Science:

  • Radiology
  • Oncology
  • Pathology

Background:

  • Accurate prostate cancer (PCa) index lesion volume assessment is crucial for treatment planning.
  • Multiparametric MRI (mpMRI) is a key imaging modality for PCa detection and characterization.
  • Whole-mount pathology serves as the gold standard for determining true tumor volume.

Purpose of the Study:

  • To compare the accuracy of individual mpMRI sequences (T2W, DWI, ADC, DCE) in estimating PCa index lesion volume against whole-mount pathology.
  • To evaluate the impact of an endorectal coil (ERC) on mpMRI-based volume measurements.

Main Methods:

  • Retrospective analysis of 72 PCa patients undergoing 3T mpMRI, with and without an ERC.
  • Pathological volume (whole-mountvol) determined by planimetry.
  • Radiological volumes (T2Wvol, DWIvol, ADCvol, DCEvol, maxMRIvol) measured by a radiologist.
  • Statistical analysis to compare volumes and assess ERC impact.

Main Results:

  • All mpMRI sequences and the maximum MRI-derived volume (maxMRIvol) significantly underestimated the median whole-mount pathology volume (1.97 cm³).
  • T2Wvol showed the largest underestimation, while DWIvol and ADCvol had the smallest.
  • The presence of an ERC significantly increased the mean relative volume underestimation of maxMRIvol (39.16% vs. 7.65%).

Conclusions:

  • Standard mpMRI sequences substantially underestimate PCa index lesion volume compared to whole-mount pathology.
  • T2-weighted imaging (T2W) demonstrates the greatest volumetric underestimation.
  • The use of an endorectal coil (ERC) exacerbates the underestimation of prostate cancer lesion volume by mpMRI.

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