利用体素尺度的重分期核磁共振成像绘制直肠癌整块组织学可变形图谱:可行性研究

IF 5.6 Q1 ONCOLOGY
João Miranda, Jon S Heiselman, Canan Firat, Jayasree Chakraborty, Rami S Vanguri, Antonildes N Assuncao, Josip Nincevic, Tae-Hyung Kim, Lee Rodriguez, Nil Urganci, Mithat Gonen, Julio Garcia-Aguilar, Marc J Gollub, Jinru Shia, Natally Horvat
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A gastrointestinal pathologist and a radiologist established three corresponding levels for each patient at rectal MRI and WMH, subsequently delineating external and internal rectal wall contours and the tumor bed at each level and defining eight point-based landmarks. An advanced deformable image coregistration model based on the linearized iterative boundary reconstruction (LIBR) approach was compared with rigid point-based registration (PBR) and state-of-the-art deformable intensity-based multiscale spectral embedding registration (MSERg). Dice similarity coefficient (DSC), modified Hausdorff distance (MHD), and target registration error (TRE) across patients were calculated to assess the coregistration accuracy of each method. Results Eighteen patients (mean age, 54 years ± 13 [SD]; nine female) were included. 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引用次数: 0

摘要

目的 开发一种放射学-病理学核心注册方法,用于术前直肠 MRI 和活体直肠全层组织学(WMH)之间 1:1 的自动空间映射。材料与方法 该回顾性研究纳入了2019年1月至2022年1月期间接受全新术式辅助治疗后行全直肠系膜切除术的连续直肠腺癌患者,患者术前均接受了直肠MRI和WMH检查。一位胃肠道病理学家和一位放射科医生在直肠 MRI 和 WMH 上为每位患者确定了三个相应的级别,随后在每个级别上划分了直肠外壁和内壁轮廓以及肿瘤床,并定义了八个基于点的地标。基于线性化迭代边界重建(LIBR)方法的先进可变形图像核心配准模型与刚性点基配准(PBR)和最先进的基于强度的可变形多尺度光谱嵌入配准(MSERg)进行了比较。计算不同患者的骰子相似系数(DSC)、修正的豪斯多夫距离(MHD)和目标配准误差(TRE),以评估每种方法的核心配准准确性。结果 共纳入 18 名患者(平均年龄为 54 岁 ± 13 [SD];9 名女性)。LIBR 与 PBR 相比,在直肠内外壁轮廓和肿瘤床方面显示出更高的 DSC(外侧:0.95 ± 0.03 vs. 内侧:0.95 ± 0.03 vs. 外侧:0.95 ± 0.03外部:0.95 ± 0.03 vs 0.86 ± 0.04,P < .001;内部:0.71 ± 0.21 vs 0.86 ± 0.04,P < .001:0.71 ± 0.21 vs 0.61 ± 0.21,P < .001;肿瘤床:0.61 ± 0.17 vs 0.52 ± 0.17,P = .001),直肠内壁轮廓与 MSERg 相比(分别为 0.71 ± 0.21 vs 0.63 ± 0.18;P < .001)。LIBR 与 PBR 相比,在直肠外壁和内壁轮廓以及肿瘤床方面显示出更低的 MHD(外壁:0.56 ± 0.25 vs 0.63 ± 0.18;P < 0.001):外部:0.56 ± 0.25 vs 1.68 ± 0.56,P < .001;内部:1.00 ± 0.35 vs 1.68 ± 0.56,P < .001:肿瘤床:2.45 ± 0.99 vs 2.69 ± 1.05,P = .03),与 MSERg 相比,直肠内壁轮廓(分别为 1.00 ± 0.35 vs 1.62 ± 0.59;P < .001)。LIBR 的 TRE(1.54 ± 0.39)低于 PBR(2.35 ± 1.19,P = .003)和 MSERg(2.36 ± 1.43,P = .03)。LIBR每个WMH切片的计算时间为35.1秒±12.1。结论 本研究证明了使用先进的 LIBR 方法进行精确 MRI-WMH 核心注册的可行性。关键词磁共振成像、腹部/消化道、直肠、肿瘤学 本文有补充材料。© RSNA, 2024.
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Deformable Mapping of Rectal Cancer Whole-Mount Histology with Restaging MRI at Voxel Scale: A Feasibility Study.

Purpose To develop a radiology-pathology coregistration method for 1:1 automated spatial mapping between preoperative rectal MRI and ex vivo rectal whole-mount histology (WMH). Materials and Methods This retrospective study included consecutive patients with rectal adenocarcinoma who underwent total neoadjuvant therapy followed by total mesorectal excision with preoperative rectal MRI and WMH from January 2019 to January 2022. A gastrointestinal pathologist and a radiologist established three corresponding levels for each patient at rectal MRI and WMH, subsequently delineating external and internal rectal wall contours and the tumor bed at each level and defining eight point-based landmarks. An advanced deformable image coregistration model based on the linearized iterative boundary reconstruction (LIBR) approach was compared with rigid point-based registration (PBR) and state-of-the-art deformable intensity-based multiscale spectral embedding registration (MSERg). Dice similarity coefficient (DSC), modified Hausdorff distance (MHD), and target registration error (TRE) across patients were calculated to assess the coregistration accuracy of each method. Results Eighteen patients (mean age, 54 years ± 13 [SD]; nine female) were included. LIBR demonstrated higher DSC versus PBR for external and internal rectal wall contours and tumor bed (external: 0.95 ± 0.03 vs 0.86 ± 0.04, respectively, P < .001; internal: 0.71 ± 0.21 vs 0.61 ± 0.21, P < .001; tumor bed: 0.61 ± 0.17 vs 0.52 ± 0.17, P = .001) and versus MSERg for internal rectal wall contours (0.71 ± 0.21 vs 0.63 ± 0.18, respectively; P < .001). LIBR demonstrated lower MHD versus PBR for external and internal rectal wall contours and tumor bed (external: 0.56 ± 0.25 vs 1.68 ± 0.56, respectively, P < .001; internal: 1.00 ± 0.35 vs 1.62 ± 0.59, P < .001; tumor bed: 2.45 ± 0.99 vs 2.69 ± 1.05, P = .03) and versus MSERg for internal rectal wall contours (1.00 ± 0.35 vs 1.62 ± 0.59, respectively; P < .001). LIBR demonstrated lower TRE (1.54 ± 0.39) versus PBR (2.35 ± 1.19, P = .003) and MSERg (2.36 ± 1.43, P = .03). Computation time per WMH slice for LIBR was 35.1 seconds ± 12.1. Conclusion This study demonstrates feasibility of accurate MRI-WMH coregistration using the advanced LIBR method. Keywords: MR Imaging, Abdomen/GI, Rectum, Oncology Supplemental material is available for this article. © RSNA, 2024.

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