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.

IF 5.6 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Joyce Greidanus, Carlotta Bernabei, Kalina Chupetvloska, Georgios Agrotis, Laura S Mertens, Bas W G van Rhijn, Henk G van der Poel, Michiel S van der Heijden, Regina G H Beets-Tan, Andrea Delli Pizzi, Thierry N Boellaard, Stefano Trebeschi
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引用次数: 0

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.

ADC用于评估肌肉浸润性膀胱癌新辅助免疫治疗应答的可重复性和诊断性能:来自ib期NABUCCO试验的多roi比较分析。
目的:MRI越来越多地用于评估肌肉浸润性膀胱癌(MIBC)的治疗反应,但仅定性。本研究评估了定量表观扩散系数(ADC)在接受新辅助免疫治疗的MIBC患者中的可重复性和预测价值,ADC被认为是肿瘤细胞密度的非侵入性替代指标。材料和方法:对35例纳入ib期NABUCCO试验的患者的MRI数据进行分析。ADC图来源于治疗前和治疗后的MRI扫描。三位独立的放射科医生评估了多个感兴趣区域(roi),以评估观察者之间的一致性和病理完全缓解(pCR)的预测性能。ADC值以肌肉组织为参照归一化。此外,我们从多重免疫荧光(mIF)数据中分析了ADC与细胞密度之间的相关性。结果:全肿瘤ROI (n = 25)的ADC测量具有最高的重现性(0.98,95% CI =[0.95-0.99]),但缺乏预测价值(AUC = 0.31, 95% CI = [0.12-0.53], p = 0.109)。最低的ROI (n = 22)显示出最强的pCR预测值(AUC = 0.80, 95% CI = [0.57-1], p = 0.025),但重复性有限。基线ADC值与随访ADC值在低信号区(n = 20)的差异再次显示出最高的诊断准确性(AUC = 0.80, 95% CI = [0.58-0.98], p = 0.015)。虽然肌肉归一化可以减少扫描仪的可变性,但它并没有提高该队列的预测性能,偶尔还会降低再现性。肿瘤整体ADC与细胞密度无明显相关性。结论:尽管分析了不同的ADC值测量技术,但没有一种同时可重复性和预测性,也没有提供对肿瘤生物学的见解。虽然ADC在MIBC中显示出前景,但迫切需要更标准化、更强大的成像生物标志物。迫切需要非侵入性生物标志物来指导MIBC患者的保膀胱策略。DWI-MRI显示了前景,但标准化的强大成像生物标志物对于可靠的反应评估至关重要。标准化或人工智能辅助的ROI分割可以提高多中心研究中ADC的可重复性和诊断准确性。
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来源期刊
Insights into Imaging
Insights into Imaging Medicine-Radiology, Nuclear Medicine and Imaging
CiteScore
7.30
自引率
4.30%
发文量
182
审稿时长
13 weeks
期刊介绍: Insights into Imaging (I³) is a peer-reviewed open access journal published under the brand SpringerOpen. All content published in the journal is freely available online to anyone, anywhere! I³ continuously updates scientific knowledge and progress in best-practice standards in radiology through the publication of original articles and state-of-the-art reviews and opinions, along with recommendations and statements from the leading radiological societies in Europe. Founded by the European Society of Radiology (ESR), I³ creates a platform for educational material, guidelines and recommendations, and a forum for topics of controversy. A balanced combination of review articles, original papers, short communications from European radiological congresses and information on society matters makes I³ an indispensable source for current information in this field. I³ is owned by the ESR, however authors retain copyright to their article according to the Creative Commons Attribution License (see Copyright and License Agreement). All articles can be read, redistributed and reused for free, as long as the author of the original work is cited properly. The open access fees (article-processing charges) for this journal are kindly sponsored by ESR for all Members. The journal went open access in 2012, which means that all articles published since then are freely available online.
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