T staging esophageal tumors with x rays

Author:

Partridge T.ORCID,Wolfson P.1,Jiang J.2,Massimi L.ORCID,Astolfo A.3,Djurabekova N.1,Savvidis S.,Jones C. J. MaughanORCID,Hagen C. K.,Millard E.3,Shorrock W.3,Waltham R. M.3,Haig I. G.3,Bate D.3,Ho K. M. A.1,Mc Bain H.1,Wilson A.1,Hogan A.1,Delaney H.1,Liyadipita A.1,Levine A. P.1,Dawas K.4,Mohammadi B.4,Qureshi Y. A.4,Chouhan M. D.156,Taylor S. A.1,Mughal M.4,Munro P. R. T.ORCID,Endrizzi M.ORCID,Novelli M.4,Lovat L. B.1,Olivo A.ORCID

Affiliation:

1. UCL

2. Argonne National Laboratory

3. Nikon X-Tek Systems Ltd.

4. UCLH

5. Princess Alexandra Hospital Medical Imaging Department

6. University of Queensland Medical School

Abstract

With histopathology results typically taking several days, the ability to stage tumors during interventions could provide a step change in various cancer interventions. X-ray technology has advanced significantly in recent years with the introduction of phase-based imaging methods. These have been adapted for use in standard labs rather than specialized facilities such as synchrotrons, and approaches that enable fast 3D scans with conventional x-ray sources have been developed. This opens the possibility to produce 3D images with enhanced soft tissue contrast at a level of detail comparable to histopathology, in times sufficiently short to be compatible with use during surgical interventions. In this paper we discuss the application of one such approach to human esophagi obtained from esophagectomy interventions. We demonstrate that the image quality is sufficiently high to enable tumor T staging based on the x-ray datasets alone. Alongside detection of involved margins with potentially life-saving implications, staging tumors intra-operatively has the potential to change patient pathways, facilitating optimization of therapeutic interventions during the procedure itself. Besides a prospective intra-operative use, the availability of high-quality 3D images of entire esophageal tumors can support histopathological characterization, from enabling “right slice first time” approaches to understanding the histopathology in the full 3D context of the surrounding tumor environment.

Funder

Engineering and Physical Sciences Research Council

Royal Academy of Engineering

Wellcome Trust

Cancer Research UK

Publisher

Optica Publishing Group

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