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Can laboratory x-ray virtual histology provide intraoperative 3D tumor resection margin assessment?
KTH, School of Engineering Sciences (SCI), Applied Physics, Biomedical and X-ray Physics. Exciscope AB, Torshamnsgatan 28A, S-16440 Kista, Sweden..ORCID iD: 0000-0003-2391-9848
Karolinska Univ Hosp, Dept Clin Pathol & Canc Diagnost, Stockholm, Sweden.;Karolinska Inst, Karolinska Univ Hosp Huddinge, Div Pathol F46, Dept Lab Med, Stockholm, Sweden..
KTH, School of Engineering Sciences (SCI), Applied Physics, Biomedical and X-ray Physics. Exciscope AB, Torshamnsgatan 28A, S-16440 Kista, Sweden..ORCID iD: 0000-0002-6716-1795
KTH, School of Engineering Sciences (SCI), Applied Physics, Biomedical and X-ray Physics. Exciscope AB, Torshamnsgatan 28A, S-16440 Kista, Sweden..ORCID iD: 0000-0002-9637-970X
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2022 (English)In: Journal of Medical Imaging, ISSN 2329-4302, E-ISSN 2329-4310, Vol. 9, no 3, article id 031503Article in journal (Refereed) Published
Abstract [en]

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 (similar to 10 mu 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.

Place, publisher, year, edition, pages
SPIE-Intl Soc Optical Eng , 2022. Vol. 9, no 3, article id 031503
Keywords [en]
human resection margin assessment, phase-contrast tomography, propagation-based imaging
National Category
Radiology, Nuclear Medicine and Medical Imaging Cancer and Oncology
Identifiers
URN: urn:nbn:se:kth:diva-315850DOI: 10.1117/1.JMI.9.3.031503ISI: 000819039300003PubMedID: 35155718Scopus ID: 2-s2.0-85133709793OAI: oai:DiVA.org:kth-315850DiVA, id: diva2:1684113
Note

QC 20220721

Available from: 2022-07-21 Created: 2022-07-21 Last updated: 2022-07-21Bibliographically approved

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Twengström, WilliamRomell, JennyLarsson, Jakob C.Hertz, Hans

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