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High Dynamic Range Dual-Modal White Light Imaging Improves the Accuracy of Tumor Bed Sampling After Neoadjuvant Therapy for Breast Cancer.

Authors :
Zhang, Meng
Liao, Jun
Jia, Zhanli
Qin, Chenchen
Zhang, Lingling
Wang, Han
Liu, Yao
Jiang, Cheng
Han, Mengxue
Li, Jinze
Wang, Kun
Wang, Xinran
Bu, Hong
Yao, Jianhua
Liu, Yueping
Source :
American Journal of Clinical Pathology. Mar2023, Vol. 159 Issue 3, p293-303. 11p.
Publication Year :
2023

Abstract

Objectives Accurate evaluation of residual cancer burden remains challenging because of the lack of appropriate techniques for tumor bed sampling. This study evaluated the application of a white light imaging system to help pathologists differentiate the components and location of tumor bed in specimens. Methods The high dynamic range dual-mode white light imaging (HDR-DWI) system was developed to capture antiglare reflection and multiexposure HDR transmission images. It was tested in 60 specimens of modified radical mastectomy after neoadjuvant therapy. We observed the differential transmittance among tumor tissue, fibrosis tissue, and adipose tissue. Results The sensitivity and specificity of HDR-DWI were compared with x-ray or visual examination to determine whether HDR-DWI was superior in identifying tumor beds. We found that tumor tissue had lower transmittance (0.12 ± 0.03) than fibers (0.15 ± 0.04) and fats (0.27 ± 0.07) (P <.01). Conclusions HDR-DWI was more sensitive in identifying fiber and tumor tissues than cabinet x-ray and visual observation (P <.01). In addition, HDR-DWI could identify more fibrosis areas than the currently used whole slide imaging did in 12 samples (12/60). We have determined that HDR-DWI can provide more in-depth tumor bed information than x-ray and visual examination do, which will help prevent diagnostic errors in tumor bed sampling. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00029173
Volume :
159
Issue :
3
Database :
Academic Search Index
Journal :
American Journal of Clinical Pathology
Publication Type :
Academic Journal
Accession number :
162393762
Full Text :
https://doi.org/10.1093/ajcp/aqac167