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Short-term repeatability of monoexponential apparent diffusion coefficient in prostate cancer: dependence on b-value, tumor grade, lesion size, and lesion location




TekijätJambor, Ivan; Merisaari, Harri

KustantajaSAGE Publications

Julkaisuvuosi2026

Lehti: Acta Radiologica

Artikkelin numero02841851261441869

ISSN0284-1851

eISSN1600-0455

DOIhttps://doi.org/10.1177/02841851261441869

Julkaisun avoimuus kirjaamishetkelläEi avoimesti saatavilla

Julkaisukanavan avoimuus Osittain avoin julkaisukanava

Verkko-osoitehttps://doi.org/10.1177/02841851261441869


Tiivistelmä

Background

Diffusion-weighted magnetic resonance imaging (DWI) of prostate cancer (PCa) is commonly quantified using monoexponential apparent diffusion coefficient (ADCm) values. However, repeatability of ADCm as qualitative biomarker for PCa is not well established.PurposeTo evaluate repeatability of prostate ADCm.

Material and Methods

A total of 112 patients with PCa who underwent two repeated prostate DWI scans (12 b-values, 0-2000 s/mm2) on the same day before prostatectomy. ADCm values were analyzed across different b-value combinations and PCa lesion sizes. Bland-Altman plots, Spearman rank correlation, within-subject standard deviation (wSD), and coefficient of variation (wCV) were calculated.

Results

Bland-Altman plots demonstrated no observable trend differences across ADCm intensity ranges. The results indicate correlation of ADCm repeatability with PCa aggressiveness, expressed as Gleason Grade Group (GGG). Specifically, wCV decreased towards higher GGG compared with GGG=1, wCV was <0.07 with b-value pairs from 0, 700 to 0, 1300 s/mm2. Majority of evaluated lesions that had high wSD up to 0.2 × 10-3 mm2/s were found in lower GGGs. Different b-value combinations demonstrated varying effects on ADCm performance. The lowest repeatability was observed with the lesion size <5 mL while for the lesion size ≥5 mL wSD was <0.1 × 10-3 mm2/s.

Conclusion

Our study demonstrated repeatability of ADCm mean values as quantitative imaging biomarkers for PCa detection and characterization.

Keywords: Monoexponential model; apparent diffusion coefficient; diffusion-weighted imaging; quantitative biomarkers; repeatability.



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