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, <i>P</i> < .001; internal: 0.71 ± 0.21 vs 0.61 ± 0.21, <i>P</i> < .001; tumor bed: 0.61 ± 0.17 vs 0.52 ± 0.17, <i>P</i> = .001) and versus MSERg for internal rectal wall contours (0.71 ± 0.21 vs 0.63 ± 0.18, respectively; <i>P</i> < .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, <i>P</i> < .001; internal: 1.00 ± 0.35 vs 1.62 ± 0.59, <i>P</i> < .001; tumor bed: 2.45 ± 0.99 vs 2.69 ± 1.05, <i>P</i> = .03) and versus MSERg for internal rectal wall contours (1.00 ± 0.35 vs 1.62 ± 0.59, respectively; <i>P</i> < .001). LIBR demonstrated lower TRE (1.54 ± 0.39) versus PBR (2.35 ± 1.19, <i>P</i> = .003) and MSERg (2.36 ± 1.43, <i>P</i> = .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. <b>Keywords:</b> MR Imaging, Abdomen/GI, Rectum, Oncology <i>Supplemental material is available for this article.</i> © RSNA, 2024.

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Journal
Radiology Imaging Cancer
Published
2024-10-25
DOI
https://doi.org/10.1148/rycan.240073
Primary Topic
Colorectal Cancer Surgical Treatments
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article

Deformable Mapping of Rectal Cancer Whole-Mount Histology with Restaging MRI at Voxel Scale: A Feasibility Study

Julio García‐Aguilar, Jon S. Heiselman, Natally Horvat, Canan Fırat et al.
1 links
Radiology Imaging Cancer
Colorectal Cancer Surgical Treatments
article

Deformable Mapping of Rectal Cancer Whole-Mount Histology with Restaging MRI at Voxel Scale: A Feasibility Study

Julio García‐Aguilar, Jon S. Heiselman, Natally Horvat, Canan Fırat, Mithat Gönen, Josip Ninčević, Jayasree Chakraborty, Marc J. Gollub, Nil Urgancı, Jinru Shia, R. Vanguri, João Manoel Miranda Magalhães Santos, Tae‐Hyung Kim, Lee Rodriguez, Antonildes Nascimento Assunção
article en

Abstract

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, <i>P</i> < .001; internal: 0.71 ± 0.21 vs 0.61 ± 0.21, <i>P</i> < .001; tumor bed: 0.61 ± 0.17 vs 0.52 ± 0.17, <i>P</i> = .001) and versus MSERg for internal rectal wall contours (0.71 ± 0.21 vs 0.63 ± 0.18, respectively; <i>P</i> < .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, <i>P</i> < .001; internal: 1.00 ± 0.35 vs 1.62 ± 0.59, <i>P</i> < .001; tumor bed: 2.45 ± 0.99 vs 2.69 ± 1.05, <i>P</i> = .03) and versus MSERg for internal rectal wall contours (1.00 ± 0.35 vs 1.62 ± 0.59, respectively; <i>P</i> < .001). LIBR demonstrated lower TRE (1.54 ± 0.39) versus PBR (2.35 ± 1.19, <i>P</i> = .003) and MSERg (2.36 ± 1.43, <i>P</i> = .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. <b>Keywords:</b> MR Imaging, Abdomen/GI, Rectum, Oncology <i>Supplemental material is available for this article.</i> © RSNA, 2024.

Radiology Imaging CancerVol. 6(6)
Memorial Sloan Kettering Cancer Center (US)
Radiological Society of North America, Memorial Sloan-Kettering Cancer Center, Society of Memorial Sloan Kettering, Bayer HealthCare, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, National Cancer Institute
Openalex Percentile: Top 66%
Colorectal Cancer Surgical Treatments
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