Presentation + Paper
9 September 2021 Can laboratory x-ray virtual histography provide intraoperative 3D tumor resection margin assessment?
Author Affiliations +
Abstract
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 xray 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 (∼10 μm) 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.
Conference Presentation
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
W. Twengström, C. Fernandez Moro, J. Romell, J. C. Larsson, E. Sparrelid, M. Björnstedt, and H. M. Hertz "Can laboratory x-ray virtual histography provide intraoperative 3D tumor resection margin assessment?", Proc. SPIE 11840, Developments in X-Ray Tomography XIII, 118400Q (9 September 2021); https://doi.org/10.1117/12.2593928
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KEYWORDS
Tumors

X-rays

Tomography

X-ray imaging

Imaging systems

Phase contrast

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