Literature DB >> 35155718

Can laboratory x-ray virtual histology provide intraoperative 3D tumor resection margin assessment?

William Twengström1, Carlos F Moro2,3, Jenny Romell1, Jakob C Larsson1, Ernesto Sparrelid4, Mikael Björnstedt2,3, Hans M Hertz1.   

Abstract

Purpose: Surgery is an essential part of the curative plan for most patients affected with solid tumors. The outcome of such surgery, e.g., recurrence rates and ultimately patient survival, depends on several factors where the resection margin is of key importance. Presently, the resection margin is assessed by classical histology, which is time-consuming (several days), destructive, and basically only gives two-dimensional information. Clearly, it would be advantageous if immediate feedback on tumor extension in all three dimensions were available to the surgeon intraoperatively. Approach: We investigate a laboratory propagation-based phase-contrast x-ray computed tomography system that provides the resolution, the contrast, and, potentially, the speed for this purpose. The system relies on a liquid-metal jet microfocus source and a scintillator-coated CMOS detector. Our study is performed on paraffin-embedded non-stained samples of human pancreatic neuroendocrine tumors, liver intrahepatic cholangiocarcinoma, and pancreatic serous cystic neoplasm (benign).
Results: We observe tumors with distinct and sharp edges having cellular resolution ( ∼ 10    μ m ) as well as many assisting histological landmarks, allowing for resection margin assessment. All x-ray data are compared with classical histology. The agreement is excellent.
Conclusion: We conclude that the method has potential for intraoperative three-dimensional virtual histology.
© 2022 The Authors.

Entities:  

Keywords:  human resection margin assessment; phase-contrast tomography; propagation-based imaging

Year:  2022        PMID: 35155718      PMCID: PMC8820384          DOI: 10.1117/1.JMI.9.3.031503

Source DB:  PubMed          Journal:  J Med Imaging (Bellingham)        ISSN: 2329-4302


  30 in total

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10.  Cellular-resolution 3D virtual histology of human coronary arteries using x-ray phase tomography.

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