A pilot study comparing three-dimensional models of tumor histopathology and magnetic resonance imaging

被引:0
作者
Koivuholma, Anne [1 ,2 ,3 ]
Sistonen, Heli J. [4 ,5 ]
Aro, Katri [1 ]
Makitie, Antti [1 ,7 ,8 ,9 ]
Hagstrom, Jaana [2 ,3 ,6 ]
Atula, Timo [1 ]
机构
[1] Univ Helsinki, Helsinki Univ Hosp, Dept Otorhinolaryngol Head & Neck Surg, POB 263, Helsinki 00029, Finland
[2] Helsinki Univ Hosp, Dept Pathol, HUSLAB, Helsinki, Finland
[3] Univ Helsinki, Helsinki, Finland
[4] Univ Helsinki, Dept Radiol, Helsinki, Finland
[5] Helsinki Univ Hosp, Helsinki, Finland
[6] Univ Turku, Inst Dent, Dept Oral Pathol & Radiol, Turku, Finland
[7] Karolinska Inst, Dept Clin Sci Intervent & Technol, Div Ear Nose & Throat Dis, Stockholm, Sweden
[8] Karolinska Univ Hosp, Stockholm, Sweden
[9] Univ Helsinki, Fac Med, Res Program Syst Oncol, Helsinki, Finland
来源
SCIENTIFIC REPORTS | 2025年 / 15卷 / 01期
关键词
Histopathology; Three-dimensional reconstruction; Computer aided design; Tongue; Radiology; Oral squamous cell carcinoma; ORAL TONGUE; MANDIBULAR RESECTION; CANCER; MRI; ACCURACY; INVASION; DEPTH; THICKNESS; HEAD;
D O I
10.1038/s41598-025-85478-1
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Three-dimensional (3D) modeling is often used to provide better visual understanding. This has become an everyday tool especially in medical imaging. However, modeling soft tissue histopathology in 3D is in its early stages, thus making 3D comparison between radiology and histopathology difficult. Here, we sought to create a model that combines a model based on histopathological tumor borders and a model reformatted from magnetic resonance image (MRI). The 3D models were constructed from an oral squamous cell carcinoma (OSCC) resection specimen and a preoperative MRI scan. Potential challenges were identified, and respective solutions proposed. The 3D model based on histopathological tumor borders was constructed by a method that uses a 3D table scanner and modeling software. The 3D MRI model was constructed using 3D Slicer software. The two models were fitted together by anatomical landmarks in each model. We compared the volume and dimensions between the two 3D models. As a result, we created an image fusion that presents the soft-tissue resection specimen, its histopathological findings, and the MRI findings combined in a digital 3D form. Presenting these two 3D models within the resection specimen can serve as a tool to improve the multidisciplinary discussion of patient management. To create these models, only a few additional steps to a normal protocol are required.
引用
收藏
页数:8
相关论文
共 24 条
  • [1] Diffusion-Weighted Imaging in Head and Neck Cancer Technique, Limitations, and Applications
    Connolly, Michael
    Srinivasan, Ashok
    [J]. MAGNETIC RESONANCE IMAGING CLINICS OF NORTH AMERICA, 2018, 26 (01) : 121 - +
  • [2] Three-dimensional Magnetic Resonance Imaging-based Printed Models of Prostate Anatomy and Targeted Biopsy-proven Index Tumor to Facilitate Patient-tailored Radical Prostatectomy-A Feasibility Study
    Darr, Christopher
    Finis, Friederike
    Wiesenfarth, Manuel
    Giganti, Francesco
    Tschirdewahn, Stephan
    Krafft, Ulrich
    Kesch, Claudia
    Bonekamp, David
    Forsting, Michael
    Wetter, Axel
    Reis, Henning
    Hadaschik, Boris A.
    Haubold, Johannes
    Radtke, Jan Philipp
    [J]. EUROPEAN UROLOGY ONCOLOGY, 2022, 5 (03): : 357 - 361
  • [3] Development of a Patient-specific Tumor Mold Using Magnetic Resonance Imaging and 3-Dimensional Printing Technology for Targeted Tissue Procurement and Radiomics Analysis of Renal Masses
    Dwivedi, Durgesh Kumar
    Chatzinoff, Yonatan
    Zhang, Yue
    Yuan, Qing
    Fulkerson, Michael
    Chopra, Rajiv
    Brugarolas, James
    Cadeddu, Jeffrey A.
    Kapur, Payal
    Pedrosa, Ivan
    [J]. UROLOGY, 2018, 112 : 209 - 214
  • [4] 3D Slicer as an image computing platform for the Quantitative Imaging Network
    Fedorov, Andriy
    Beichel, Reinhard
    Kalpathy-Cramer, Jayashree
    Finet, Julien
    Fillion-Robin, Jean-Christophe
    Pujol, Sonia
    Bauer, Christian
    Jennings, Dominique
    Fennessy, Fiona
    Sonka, Milan
    Buatti, John
    Aylward, Stephen
    Miller, James V.
    Pieper, Steve
    Kikinis, Ron
    [J]. MAGNETIC RESONANCE IMAGING, 2012, 30 (09) : 1323 - 1341
  • [5] Frozen Section Analysis and Real-Time Magnetic Resonance Imaging of Surgical Specimen Oriented on 3D Printed Tongue Model to Assess Surgical Margins in Oral Tongue Carcinoma: Preliminary Results
    Giannitto, Caterina
    Mercante, Giuseppe
    Disconzi, Luca
    Boroni, Riccardo
    Casiraghi, Elena
    Canzano, Federica
    Cerasuolo, Michele
    Gaino, Francesca
    De Virgilio, Armando
    Fiamengo, Barbara
    Ferreli, Fabio
    Esposito, Andrea Alessandro
    Oliva, Paolo
    Ronzoni, Flavio
    Terracciano, Luigi
    Spriano, Giuseppe
    Balzarini, Luca
    [J]. FRONTIERS IN ONCOLOGY, 2021, 11
  • [6] Accuracy of MRI in Prediction of Tumour Thickness and Nodal Stage in Oral Tongue and Gingivobuccal Cancer With Clinical Correlation and Staging
    Goel, Varun
    Parihar, Pratap Singh
    Parihar, Akhilesh
    Goel, Ashok Kumar
    Waghwani, Kapil
    Gupta, Richa
    Bhutekar, Umesh
    [J]. JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH, 2016, 10 (06) : TC1 - TC5
  • [7] 3D-printed Model and guide plate for accurate resection of advanced cutaneous squamous cell carcinomas
    Jiang, Weiqian
    Chen, Peng
    Cui, Lei
    Li, Li
    Shao, Yan
    Zhang, Dekang
    Xu, Lin
    Tao, Ran
    Chen, Youbai
    Han, Yan
    [J]. FRONTIERS IN SURGERY, 2023, 9
  • [8] Johnson RE, 1997, HEAD NECK-J SCI SPEC, V19, P281, DOI 10.1002/(SICI)1097-0347(199707)19:4<281::AID-HED6>3.3.CO
  • [9] 2-4
  • [10] DICOM segmentation and STL creation for 3D printing: a process and software package comparison for osseous anatomy
    Kamio, Takashi
    Suzuki, Madoka
    Asaumi, Rieko
    Kawai, Taisuke
    [J]. 3D PRINTING IN MEDICINE, 2020, 6 (01)