Assessing the aggressiveness of prostate cancer using ADC and relaxation maps from synthetic MRI

BackgroundEmerging evidence suggests multiparametric prostate MRI's role in evaluating prostate cancer (PCa) aggressiveness.PurposeTo evaluate the utility of quantitative sequences in prostate MRI for assessing peripheral zone PCa aggressiveness, focusing on added value of relaxation maps to ADC.Material and MethodsIn total, 64 men undergoing preoperative bi-parametric prostate MRI with synthetic sequences were retrospectively enrolled. Radiologists delineated lesions on ADC maps and synthetic MRI, matched with digitized whole-mount specimens. PCa was graded as low, intermediate, or high based on Gleason grade. Statistical analyses assessed differences in T1, T2, PD, and ADC values across grades. For significant variables, AUC curves were generated. A logistic regression model evaluated the added diagnostic value of relaxation maps to ADC.ResultsOf the 95 PCa foci, 11 were low-grade, 45 intermediate-grade, and 39 high-grade. T1 (<i>P</i> = 0.4) and PD (<i>P</i> = 0.3) showed no significant differences, while T2 and ADC differed significantly (<i>P</i> < 0.001). Median T2 values were 98 ms (low-grade), 81 ms (intermediate), and 73 ms (high-grade), and median ADC values were 1006 mm²/s, 836 mm²/s, and 721 mm²/s, respectively. ADC yielded AUCs of 0.888 (95% CI=0.794-0.963; <i>P</i> < 0.0001) for low- versus intermediate-to-high-grade PCa, and 0.825 (95% CI=0.724-0.901; <i>P</i> < 0.0001) for low-to-intermediate versus high-grade. T2 AUCs were 0.770 (95% CI=0.605-0.908; <i>P</i> = 0.021) and 0.755 (95% CI=0.648-0.864; <i>P</i> = 0.0051), respectively. A logistic regression model combining T2 and ADC showed no significant improvement over ADC alone in differentiating low- versus intermediate-to-high-grade and low-to-intermediate versus high-grade PCa (<i>P</i> > 0.05).ConclusionT1 and PD maps from synthetic MRI showed limited utility in grading PCa. Although T2 values were effective, ADC values were superior in assessing PCa aggressiveness. The addition of T2 to ADC did not significantly improve diagnostic performance.

Authors

Institutions

Publication Details

Journal
Acta Radiologica
Published
2025-02-18
DOI
https://doi.org/10.1177/02841851251315717
Citations
1
Primary Topic
Prostate Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
1.52

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessing the aggressiveness of prostate cancer using ADC and relaxation maps from synthetic MRI

Ömer Burak Argun, Fatma Tokat, Mustafa Ege Şeker, Deniz Alış et al.
1 citations
Acta Radiologica
Prostate Cancer Diagnosis and Treatment
1.52
article

Assessing the aggressiveness of prostate cancer using ADC and relaxation maps from synthetic MRI

Ömer Burak Argun, Fatma Tokat, Mustafa Ege Şeker, Deniz Alış, Ercan Karaarslan, Sabri Şirolu, Cavit Kerem Kayhan, İlkay Öksüz, Batuhan Guroz
article en
1 citations

Abstract

BackgroundEmerging evidence suggests multiparametric prostate MRI's role in evaluating prostate cancer (PCa) aggressiveness.PurposeTo evaluate the utility of quantitative sequences in prostate MRI for assessing peripheral zone PCa aggressiveness, focusing on added value of relaxation maps to ADC.Material and MethodsIn total, 64 men undergoing preoperative bi-parametric prostate MRI with synthetic sequences were retrospectively enrolled. Radiologists delineated lesions on ADC maps and synthetic MRI, matched with digitized whole-mount specimens. PCa was graded as low, intermediate, or high based on Gleason grade. Statistical analyses assessed differences in T1, T2, PD, and ADC values across grades. For significant variables, AUC curves were generated. A logistic regression model evaluated the added diagnostic value of relaxation maps to ADC.ResultsOf the 95 PCa foci, 11 were low-grade, 45 intermediate-grade, and 39 high-grade. T1 (<i>P</i> = 0.4) and PD (<i>P</i> = 0.3) showed no significant differences, while T2 and ADC differed significantly (<i>P</i> < 0.001). Median T2 values were 98 ms (low-grade), 81 ms (intermediate), and 73 ms (high-grade), and median ADC values were 1006 mm²/s, 836 mm²/s, and 721 mm²/s, respectively. ADC yielded AUCs of 0.888 (95% CI=0.794-0.963; <i>P</i> < 0.0001) for low- versus intermediate-to-high-grade PCa, and 0.825 (95% CI=0.724-0.901; <i>P</i> < 0.0001) for low-to-intermediate versus high-grade. T2 AUCs were 0.770 (95% CI=0.605-0.908; <i>P</i> = 0.021) and 0.755 (95% CI=0.648-0.864; <i>P</i> = 0.0051), respectively. A logistic regression model combining T2 and ADC showed no significant improvement over ADC alone in differentiating low- versus intermediate-to-high-grade and low-to-intermediate versus high-grade PCa (<i>P</i> > 0.05).ConclusionT1 and PD maps from synthetic MRI showed limited utility in grading PCa. Although T2 values were effective, ADC values were superior in assessing PCa aggressiveness. The addition of T2 to ADC did not significantly improve diagnostic performance.

Acta RadiologicaVol. 66(5)
University of Wisconsin–Madison (US), Kent Hastanesi (TR), Şişli Etfal Eğitim ve Araştırma Hastanesi (TR), Acıbadem Adana Hospital (TR), Istanbul Technical University (TR)
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu
Good health and well-being
Openalex Percentile: Top 22%
Prostate Cancer Diagnosis and Treatment
1.52
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.