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Do the variations in ROI placement technique have influence for prostate ADC measurements?
Yoshiko Ueno1, Tsutomu Tamada1,2, Keitaro Sofue1
1Department of Radiology, Kobe University Graduate School of Medicine, Hyogo, Japan.
Acta Radiologica Open
|April 4, 2022
Summary
Investigating prostate cancer (PCa) aggressiveness using apparent diffusion coefficient (ADC) measurements, this study found that different region of interest (ROI) shapes had minimal impact on accuracy. The chosen ROI method did not significantly affect the reliability or diagnostic performance of ADC values in PCa.
Area of Science:
- Radiology
- Oncology
- Medical Imaging
Background:
- Prostate apparent diffusion coefficient (ADC) values from diffusion-weighted imaging aid in assessing prostate cancer (PCa) aggressiveness.
- Variability in ADC measurement techniques across studies poses a challenge.
Purpose of the Study:
- To evaluate inter- and intra-reader variability in prostate ADC measurements using three distinct 2D region of interest (ROI) shapes.
- To assess the diagnostic performance of these ROI methods for predicting PCa aggressiveness.
Main Methods:
- Seventy-four PCa patients undergoing 3-T MRI before surgery were included.
- Three readers independently measured tumor ADCs using freehand, large-circle, and small-circles ROIs, repeating measurements after 3 weeks.
- Bland-Altman and Receiver Operating Characteristic (ROC) analyses were used to assess variability and diagnostic performance, respectively.
Main Results:
- Intra-reader variability (coefficient of repeatability) ranged from 11.5% (small-circles) to 13.7% (freehand).
- Inter-reader variability ranged from 9.4% (freehand) to 9.7% (large-circle).
- Diagnostic performance for differentiating Gleason scores showed areas under the curve of 0.90 (freehand), 0.89 (large-circle), and 0.94 (small-circles).
Conclusions:
- Variations in ROI shape did not significantly impact intra-reader or inter-reader reproducibility for prostate ADC measurements.
- The chosen ROI method had no major influence on the diagnostic performance for assessing PCa aggressiveness.
