Examples of the imaging performance of XPCI-CT (b,e) compared to conventional specimen radiography (a,d) and benchmarked against histopathology (c,f). he top row focuses on the similarity between the XPCI-CT slice in (b) and the histological slice in (c). Arrow 1 indicates margin involvement, arrow 2 a variation in density in the internal structure of the tumour mass, arrow 3 tumour-induced inflammation. All this is confirmed by the histological slice in (c), and hardly visible in the conventional image in (a). The bottom row focuses on the detection of small calcifications, a key feature in DCIS. These are undetectable in (d), detected in (e), enhanced in the maximum intensity projection (MIP) image at the bottom of (f), and confirmed by histopathology in the top part of (f). The scale bar [shown in (b) and (e)] is the same for all images apart from (f), which has its own scale. Red arrows in (e) and (f) indicate the microcalcifications. Image courtesy of Professor Alessandro Olivo
Radiology and Radiation Oncology | Imaging Technology News
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Radiology and Radiation Oncology | Imaging Technology News
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22nd February 2021 12:02 am 19th February 2021 11:55 am
Researchers in the UK have developed a new x-ray imaging scanner that could have strong potential in the improvement of breast cancer operations.
Image: Adobestock
The research team from UCL and Queen Mary University of London, working closely with Barts Health NHS Trust and Nikon, said the new approach will aid surgeons performing breast tumour removal surgery by allowing for 2.5 times better detection of diseased tissue in the margins (edges of extracted tissue) than with standard imaging.
Published in
Scientific Reports, the study involved the use of X-Ray Phase Contrast Imaging (XPCI) to develop a scanner that would provide surgeons with a full 3D image of the extracted tissue lump, known as a wide local excision (WLE).
X-ray scanner could improve breast cancer surgery
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