Literature DB >> 28596154

3D printed pathological sectioning boxes to facilitate radiological-pathological correlation in hepatectomy cases.

Andrew T Trout1, Matthew R Batie2, Anita Gupta3, Rachel M Sheridan3, Gregory M Tiao4, Alexander J Towbin1.   

Abstract

Radiogenomics promises to identify tumour imaging features indicative of genomic or proteomic aberrations that can be therapeutically targeted allowing precision personalised therapy. An accurate radiological-pathological correlation is critical to the process of radiogenomic characterisation of tumours. An accurate correlation, however, is difficult to achieve with current pathological sectioning techniques which result in sectioning in non-standard planes. The purpose of this work is to present a technique to standardise hepatic sectioning to facilitateradiological-pathological correlation. We describe a process in which three-dimensional (3D)-printed specimen boxes based on preoperative cross-sectional imaging (CT and MRI) can be used to facilitate pathological sectioning in standard planes immediately on hepatic resection enabling improved tumour mapping. We have applied this process in 13 patients undergoing hepatectomy and have observed close correlation between imaging and gross pathology in patients with both unifocal and multifocal tumours. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Entities:  

Keywords:  3-D reconstruction; cancer research; image analysis; liver; liver cancer

Mesh:

Year:  2017        PMID: 28596154     DOI: 10.1136/jclinpath-2016-204293

Source DB:  PubMed          Journal:  J Clin Pathol        ISSN: 0021-9746            Impact factor:   3.411


  6 in total

Review 1.  Role of three-dimensional printing and artificial intelligence in the management of hepatocellular carcinoma: Challenges and opportunities.

Authors:  Chrysanthos D Christou; Georgios Tsoulfas
Journal:  World J Gastrointest Oncol       Date:  2022-04-15

2.  Three-dimensional printing in medicine: a systematic review of pediatric applications.

Authors:  Caitlin A Francoisse; Anne M Sescleifer; Wilson T King; Alexander Y Lin
Journal:  Pediatr Res       Date:  2020-06-05       Impact factor: 3.756

Review 3.  MR Imaging-Histology Correlation by Tailored 3D-Printed Slicer in Oncological Assessment.

Authors:  D Baldi; M Aiello; A Duggento; M Salvatore; C Cavaliere
Journal:  Contrast Media Mol Imaging       Date:  2019-05-29       Impact factor: 3.161

Review 4.  Role of innovative 3D printing models in the management of hepatobiliary malignancies.

Authors:  Peter Bangeas; Vassilios Tsioukas; Vasileios N Papadopoulos; Georgios Tsoulfas
Journal:  World J Hepatol       Date:  2019-07-27

5.  Liver-specific 3D sectioning molds for correlating in vivo CT and MRI with tumor histopathology in woodchucks (Marmota monax).

Authors:  Andrew S Mikhail; Michal Mauda-Havakuk; Ari Partanen; John W Karanian; William F Pritchard; Bradford J Wood
Journal:  PLoS One       Date:  2020-03-26       Impact factor: 3.240

Review 6.  Integrative radiogenomics for virtual biopsy and treatment monitoring in ovarian cancer.

Authors:  Paula Martin-Gonzalez; Mireia Crispin-Ortuzar; Leonardo Rundo; Maria Delgado-Ortet; Marika Reinius; Lucian Beer; Ramona Woitek; Stephan Ursprung; Helen Addley; James D Brenton; Florian Markowetz; Evis Sala
Journal:  Insights Imaging       Date:  2020-08-17
  6 in total

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