Prognostic Value of MRI‐Derived Apparent Diffusion Coefficient in Intermediate‐Risk Prostate Cancer Treated With Definitive Radiotherapy

BACKGROUND: Intermediate-risk prostate cancer (IR-PCa) is a heterogeneous disease with variable clinical outcomes despite established risk classification. We evaluated whether pretreatment tumor apparent diffusion coefficient (ADC) derived from multiparametric MRI was associated with long-term outcomes and provided additional prognostic information beyond established clinical risk classification in patients treated with definitive radiotherapy. METHODS AND MATERIALS: We retrospectively analyzed 238 patients with IR-PCa treated with definitive radiotherapy. Tumor ADC values were obtained from pre-treatment diffusion-weighted MRI. Patients were stratified according to ADC levels and clinical risk subgroups, including favorable and unfavorable intermediate-risk disease. Survival analyses and Cox regression models were used to assess associations between ADC and clinical outcomes, including biochemical failure and distant metastasis. RESULTS: /s) were associated with inferior outcomes, with a significant impact on freedom from distant metastasis (FFDM) (HR 3.94, 95% CI 1.14-13.62; p = 0.03). When ADC was combined with clinical risk classification, outcomes differed across the four resulting subgroups for both FFDM (p = 0.02) and FFBF (p = 0.02). However, the FIR-low ADC subgroup included only seven patients, and these subgroup findings should be considered exploratory. CONCLUSIONS: Lower tumor ADC was associated with an increased risk of distant metastasis and provided exploratory prognostic information beyond established clinical risk classification. Given the limited number of events and the data-derived cutoff, these findings require external validation before ADC can be used to guide treatment selection.

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Publication Details

Journal
The Prostate
Published
2026-09-13
DOI
https://doi.org/10.1002/pros.70249
Primary Topic
Prostate Cancer Diagnosis and Treatment
Type
article
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article

Prognostic Value of MRI‐Derived Apparent Diffusion Coefficient in Intermediate‐Risk Prostate Cancer Treated With Definitive Radiotherapy

Ozan Cem Güler, Cem Önal, Gürcan Erbay, Birhan Demirhan et al.
The Prostate
Prostate Cancer Diagnosis and Treatment
article

Prognostic Value of MRI‐Derived Apparent Diffusion Coefficient in Intermediate‐Risk Prostate Cancer Treated With Definitive Radiotherapy

Ozan Cem Güler, Cem Önal, Gürcan Erbay, Birhan Demirhan, Aysenur Elmali
article en

Abstract

BACKGROUND: Intermediate-risk prostate cancer (IR-PCa) is a heterogeneous disease with variable clinical outcomes despite established risk classification. We evaluated whether pretreatment tumor apparent diffusion coefficient (ADC) derived from multiparametric MRI was associated with long-term outcomes and provided additional prognostic information beyond established clinical risk classification in patients treated with definitive radiotherapy. METHODS AND MATERIALS: We retrospectively analyzed 238 patients with IR-PCa treated with definitive radiotherapy. Tumor ADC values were obtained from pre-treatment diffusion-weighted MRI. Patients were stratified according to ADC levels and clinical risk subgroups, including favorable and unfavorable intermediate-risk disease. Survival analyses and Cox regression models were used to assess associations between ADC and clinical outcomes, including biochemical failure and distant metastasis. RESULTS: /s) were associated with inferior outcomes, with a significant impact on freedom from distant metastasis (FFDM) (HR 3.94, 95% CI 1.14-13.62; p = 0.03). When ADC was combined with clinical risk classification, outcomes differed across the four resulting subgroups for both FFDM (p = 0.02) and FFBF (p = 0.02). However, the FIR-low ADC subgroup included only seven patients, and these subgroup findings should be considered exploratory. CONCLUSIONS: Lower tumor ADC was associated with an increased risk of distant metastasis and provided exploratory prognostic information beyond established clinical risk classification. Given the limited number of events and the data-derived cutoff, these findings require external validation before ADC can be used to guide treatment selection.

The Prostate
Başkent University (TR), İskenderun Technical University (TR)
Good health and well-being
Openalex Percentile: Top 11%
Prostate Cancer Diagnosis and Treatment
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