Le Nobin Julien, Orczyk Clément, Deng Fang-Ming, Melamed Jonathan, Rusinek Henry, Taneja Samir S, Rosenkrantz Andrew B
Department of Urology, Division of Urological Oncology, New York University Langone Medical Center, New York, NY, USA.
Department of Urology, University Hospital of Lille, Lille, France.
BJU Int. 2014 Dec;114(6b):E105-E112. doi: 10.1111/bju.12750. Epub 2014 Jul 27.
To evaluate the agreement between prostate tumour volume determined using multiparametric magnetic resonance imaging (MRI) and that determined by histological assessment, using detailed software-assisted co-registration.
A total of 37 patients who underwent 3T multiparametric MRI (T2-weighted imaging [T2WI], diffusion-weighted imaging [DWI]/apparent diffusion coefficient [ADC], dynamic contrast-enhanced [DCE] imaging) were included. A radiologist traced the borders of suspicious lesions on T2WI and ADC and assigned a suspicion score of between 2 and 5, while a uropathologist traced the borders of tumours on histopathological photographs. Software was used to co-register MRI and three-dimensional digital reconstructions of radical prostatectomy specimens and to compute imaging and histopathological volumes. Agreement in volumes between MRI and histology was assessed using Bland-Altman plots and stratified by tumour characteristics.
Among 50 tumours, the mean differences (95% limits of agreement) in MRI relative to histology were -32% (-128 to +65%) on T2WI and -47% (-143 to +49%) on ADC. For all tumour subsets, volume underestimation was more marked on ADC maps (mean difference ranging from -57 to -16%) than on T2WI (mean difference ranging from -45 to +2%). The 95% limits of agreement were wide for all comparisons, with the lower 95% limit ranging between -77 and -143% across assessments. Volume underestimation was more marked for tumours with a Gleason score ≥7 or a MRI suspicion score 4 or 5.
Volume estimates of prostate cancer using MRI tended to substantially underestimate histopathological volumes, with a wide variability in extent of underestimation across cases. These findings have implications for efforts to use MRI to guide risk assessment.
使用详细的软件辅助配准,评估多参数磁共振成像(MRI)测定的前列腺肿瘤体积与组织学评估测定的体积之间的一致性。
纳入37例行3T多参数MRI(T2加权成像[T2WI]、扩散加权成像[DWI]/表观扩散系数[ADC]、动态对比增强[DCE]成像)的患者。一名放射科医生在T2WI和ADC上描绘可疑病变的边界,并给出2至5分的可疑评分,而一名泌尿病理学家在组织病理学照片上描绘肿瘤的边界。使用软件对MRI与前列腺癌根治术标本的三维数字重建进行配准,并计算成像和组织病理学体积。使用Bland-Altman图评估MRI与组织学之间体积的一致性,并按肿瘤特征进行分层。
在50个肿瘤中,T2WI上MRI相对于组织学的平均差异(95%一致性界限)为-32%(-128至+65%),ADC上为-47%(-143至+49%)。对于所有肿瘤亚组,ADC图上的体积低估比T2WI上更明显(平均差异范围为-57至-16%),而T2WI上的平均差异范围为-45至+2%。所有比较的95%一致性界限都很宽,整个评估中较低的95%界限在-77至-143%之间。Gleason评分≥7或MRI可疑评分为4或5的肿瘤体积低估更明显。
使用MRI估计前列腺癌体积往往会大幅低估组织病理学体积,不同病例的低估程度差异很大。这些发现对利用MRI指导风险评估的努力具有启示意义。