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.
Abstract:
Introduction: Multiparametric MR imaging (mpMRI) has shown promising results in the diagnosis and localization of prostate cancer. Furthermore, mpMRI may play an important role in identifying the dominant intraprostatic lesion (DIL) for radiotherapy boost. We sought to investigate the level of correlation between dominant tumor foci contoured on various mpMRI sequences. Methods: mpMRI data from 90 patients with MR-guided biopsy-proven prostate cancer were obtained from the SPIE-AAPM-NCI Prostate MR Classification Challenge. Each case consisted of T2-weighted (T2W), apparent diffusion coefficient (ADC), and Ktrans images computed from dynamic contrast-enhanced sequences. All image sets were rigidly co-registered, and the dominant tumor foci were identified and contoured for each MRI sequence. Hausdorff distance (HD), mean distance to agreement (MDA), and Dice and Jaccard coefficients were calculated between the contours for each pair of MRI sequences (i.e., T2 vs. ADC, T2 vs. Ktrans, and ADC vs. Ktrans). The voxel wise spearman correlation was also obtained between these image pairs. Results: The DILs were located in the anterior fibromuscular stroma, central zone, peripheral zone, and transition zone in 35.2, 5.6, 32.4, and 25.4% of patients, respectively. Gleason grade groups 1-5 represented 29.6, 40.8, 15.5, and 14.1% of the study population, respectively (with group grades 4 and 5 analyzed together). The mean contour volumes for the T2W images, and the ADC and Ktrans maps were 2.14 ± 2.1, 2.22 ± 2.2, and 1.84 ± 1.5 mL, respectively. Ktrans values were indistinguishable between cancerous regions and the rest of prostatic regions for 19 patients. The Dice coefficient and Jaccard index were 0.74 ± 0.13, 0.60 ± 0.15 for T2W-ADC and 0.61 ± 0.16, 0.46 ± 0.16 for T2W-Ktrans. The voxel-based Spearman correlations were 0.20 ± 0.20 for T2W-ADC and 0.13 ± 0.25 for T2W-Ktrans. Conclusions: The DIL contoured on T2W images had a high level of agreement with those contoured on ADC maps, but there was little to no quantitative correlation of these results with tumor location and Gleason grade group. Technical hurdles are yet to be solved for precision radiotherapy to target the DILs based on physiological imaging. A Boolean sum volume (BSV) incorporating all available MR sequences may be reasonable in delineating the DIL boost volume.
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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