Reproducibility and diagnostic performance of ADC for assessing response to neoadjuvant immunotherapy in muscle-invasive bladder cancer: a multi-ROI comparison analysis from the phase-Ib NABUCCO trial

OBJECTIVE: MRI is increasingly used to assess treatment response in muscle-invasive bladder cancer (MIBC), but only qualitatively. This study evaluates the reproducibility and predictive value of quantitative apparent diffusion coefficient (ADC), thought to be a non-invasive surrogate for tumor cell density, in patients with MIBC receiving neoadjuvant immunotherapy. MATERIALS AND METHODS: MRI data from 35 patients, enrolled in the Phase-Ib NABUCCO trial, were analyzed. ADC maps were derived from pre- and post-treatment MRI scans. Three independent radiologists assessed multiple regions of interest (ROIs) to evaluate inter-observer agreement and predictive performance for pathological complete response (pCR). ADC values were normalized using muscle tissue as a reference. Additionally, we analyzed the correlation between ADC and cell densities, derived from multiplex immunofluorescence (mIF) data. RESULTS: ADC measurements from the whole-tumor ROI (n = 25) demonstrated the highest reproducibility (0.98, 95% CI = [0.95-0.99]), but lacked predictive value (AUC = 0.31, 95% CI = [0.12-0.53], p = 0.109). The most hypointense ROI (n = 22) showed the strongest predictive value for pCR (AUC = 0.80, 95% CI = [0.57-1], p = 0.025), though with limited reproducibility. The difference between baseline and follow-up ADC values in the hypointense region (n = 20) again showed the highest diagnostic accuracy (AUC = 0.80, 95% CI = [0.58-0.98], p = 0.015). Although muscle normalization is proposed to reduce scanner variability, it did not improve predictive performance in this cohort and occasionally reduced reproducibility. No significant correlation was found between whole-tumor ADC and cell density. CONCLUSION: Despite analyzing different measurement techniques for ADC values, none was simultaneously reproducible and predictive, nor provided insights into the biology of the tumor. While ADC shows promise in MIBC, there is an urgent need for more standardized, robust imaging biomarkers. KEY POINTS: Question Non-invasive biomarkers are urgently needed to guide bladder-preserving strategies in MIBC. Findings DWI-MRI shows promise, but standardized robust imaging biomarkers are essential for reliable response assessment. Critical relevance statement Standardized or AI-assisted ROI segmentation could improve ADC reproducibility and diagnostic accuracy in multicenter studies.

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Publication Details

Journal
Insights into Imaging
Published
2026-10-13
DOI
https://doi.org/10.1186/s13244-026-02397-z
Primary Topic
MRI in cancer diagnosis
Type
article
Field-Weighted Citation Impact
0.00

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article

Reproducibility and diagnostic performance of ADC for assessing response to neoadjuvant immunotherapy in muscle-invasive bladder cancer: a multi-ROI comparison analysis from the phase-Ib NABUCCO trial

Andrea Delli Pizzi, Thierry N. Boellaard, Stefano Trebeschi, Carlotta Bernabei et al.
Insights into Imaging
MRI in cancer diagnosis
article

Reproducibility and diagnostic performance of ADC for assessing response to neoadjuvant immunotherapy in muscle-invasive bladder cancer: a multi-ROI comparison analysis from the phase-Ib NABUCCO trial

Andrea Delli Pizzi, Thierry N. Boellaard, Stefano Trebeschi, Carlotta Bernabei, Joyce Greidanus, Georgios Agrotis, Laura S. Mertens, Henk G. van der Poel, Kalina Chupetvloska, Regina G. H. Beets-Tan, Bas W. G. van Rhijn, Michiel S. van der Heijden
article en

Abstract

OBJECTIVE: MRI is increasingly used to assess treatment response in muscle-invasive bladder cancer (MIBC), but only qualitatively. This study evaluates the reproducibility and predictive value of quantitative apparent diffusion coefficient (ADC), thought to be a non-invasive surrogate for tumor cell density, in patients with MIBC receiving neoadjuvant immunotherapy. MATERIALS AND METHODS: MRI data from 35 patients, enrolled in the Phase-Ib NABUCCO trial, were analyzed. ADC maps were derived from pre- and post-treatment MRI scans. Three independent radiologists assessed multiple regions of interest (ROIs) to evaluate inter-observer agreement and predictive performance for pathological complete response (pCR). ADC values were normalized using muscle tissue as a reference. Additionally, we analyzed the correlation between ADC and cell densities, derived from multiplex immunofluorescence (mIF) data. RESULTS: ADC measurements from the whole-tumor ROI (n = 25) demonstrated the highest reproducibility (0.98, 95% CI = [0.95-0.99]), but lacked predictive value (AUC = 0.31, 95% CI = [0.12-0.53], p = 0.109). The most hypointense ROI (n = 22) showed the strongest predictive value for pCR (AUC = 0.80, 95% CI = [0.57-1], p = 0.025), though with limited reproducibility. The difference between baseline and follow-up ADC values in the hypointense region (n = 20) again showed the highest diagnostic accuracy (AUC = 0.80, 95% CI = [0.58-0.98], p = 0.015). Although muscle normalization is proposed to reduce scanner variability, it did not improve predictive performance in this cohort and occasionally reduced reproducibility. No significant correlation was found between whole-tumor ADC and cell density. CONCLUSION: Despite analyzing different measurement techniques for ADC values, none was simultaneously reproducible and predictive, nor provided insights into the biology of the tumor. While ADC shows promise in MIBC, there is an urgent need for more standardized, robust imaging biomarkers. KEY POINTS: Question Non-invasive biomarkers are urgently needed to guide bladder-preserving strategies in MIBC. Findings DWI-MRI shows promise, but standardized robust imaging biomarkers are essential for reliable response assessment. Critical relevance statement Standardized or AI-assisted ROI segmentation could improve ADC reproducibility and diagnostic accuracy in multicenter studies.

Insights into ImagingVol. 17(1)
University of Southern Denmark (DK), The Netherlands Cancer Institute (NL), Maastricht University (NL), University of Chieti-Pescara (IT), Ospedale SS. Annunziata (IT), Amsterdam University Medical Centers (NL)
Bristol-Myers Squibb, Ministerie van Volksgezondheid, Welzijn en Sport
Openalex Percentile: Top 13%
MRI in cancer diagnosis
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