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3D printed pathological sectioning boxes to facilitate radiological–pathological correlation in hepatectomy cases
  1. Andrew T Trout1,
  2. Matthew R Batie2,
  3. Anita Gupta3,
  4. Rachel M Sheridan3,
  5. Gregory M Tiao4,
  6. Alexander J Towbin1
  1. 1Department of Radiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio, USA
  2. 2Department of Clinical Engineering, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio, USA
  3. 3Department of Pathology, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio, USA
  4. 4Division of Pediatric Surgery, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio, USA
  1. Correspondence to Andrew T Trout, Department of Radiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio 45229, USA; andrew.trout{at}cchmc.org

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.

  • 3-D reconstruction
  • cancer research
  • image analysis
  • liver
  • liver cancer

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Footnotes

  • Handling editor Cheok Soon Lee

  • Contributors All authors were involved in writing and editing the manuscript. All authors contributed to the project.

  • Competing interests ATT: Siemens Healthcare (investigator initiated grant), Toshiba America Medical Systems (investigator initiated grant), American College of Radiology (consultant), Elsevier (royalties for authorship). AJT: Merge Healthcare (stock), Applied Radiology (honorarium), Guerbet (consultant, travel support, investigator initiated grant), Siemens Healthcare (investigator initiated grant) and Elsevier (royalties for authorship). MRB, AG, RMS, GMT have no competing interests to declare.

  • Patient consent Not obtained.

  • Provenance and peer review Not commissioned; externally peer reviewed.

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