Can laboratory x-ray virtual histology provide intraoperative 3D tumor resection margin assessment? Show others and affiliations
2021 (English) In: DEVELOPMENTS IN X-RAY TOMOGRAPHY XIII / [ed] Muller, B Wang, G, SPIE-Intl Soc Optical Eng , 2021, Vol. 11840, article id 118400QConference paper, Published paper (Refereed)
Abstract [en]
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 intra-operatively. In the present paper we investigate a laboratory propagation-based phase-contrast x-ray computed tomography (CT) system that provides the resolution, contrast, and, potentially, the speed for this purpose. The system relies on a liquid-metal jet micro-focus source and a scintillator-coated CMOS detector. The study is performed on paraffin-embedded non-stained samples of human pancreatic neuroendocrine tumors, liver intrahepatic cholangiocarcinoma, and pancreatic serous cystic neoplasm (benign). We observe tumors with distinct and sharp edges having cellular resolution (similar to 10 mu m) as well as many assisting histological landmarks, allowing for resection margin assessment. All x-ray data is compared with classical histology. The agreement is excellent, and we conclude that the method has potential for intra-operative three-dimensional virtual histology.
Place, publisher, year, edition, pages SPIE-Intl Soc Optical Eng , 2021. Vol. 11840, article id 118400Q
Series
Proceedings of SPIE, ISSN 0277-786X
National Category
Radiology, Nuclear Medicine and Medical Imaging
Identifiers URN: urn:nbn:se:kth:diva-315940 DOI: 10.1117/12.2593928 ISI: 000825424600022 Scopus ID: 2-s2.0-85123057874 OAI: oai:DiVA.org:kth-315940 DiVA, id: diva2:1684714
Conference Conference on Developments in X-Ray Tomography XIII, AUG 01-05, 2021, San Diego, CA
Note Part of proceedings: ISBN 978-1-5106-4519-6
QC 20220728
2022-07-282022-07-282022-08-16 Bibliographically approved