NDLI: Application of multispectral imaging in quantitative immunohistochemistry study of breast cancer: a comparative study

Content Provider	Springer Nature Link
Author	Liu, Wen Lou Wang, Lin Wei Chen, Jia Mei Yuan, Jing Ping Xiang, Qing Ming Yang, Gui Fang Qu, Ai Ping Liu, Juan Li, Yan
Copyright Year	2015
Abstract	Multispectral imaging (MSI) based on imaging and spectroscopy, as relatively novel to the field of histopathology, has been used in biomedical multidisciplinary researches. We analyzed and compared the utility of multispectral (MS) versus conventional red–green–blue (RGB) images for immunohistochemistry (IHC) staining to explore the advantages of MSI in clinical-pathological diagnosis. The MS images acquired of IHC-stained membranous marker human epidermal growth factor receptor 2 (HER2), cytoplasmic marker cytokeratin5/6 (CK5/6), and nuclear marker estrogen receptor (ER) have higher resolution, stronger contrast, and more accurate segmentation than the RGB images. The total signal optical density (OD) values for each biomarker were higher in MS images than in RGB images (all P < 0.05). Moreover, receiver operator characteristic (ROC) analysis revealed that a greater area under the curve (AUC), higher sensitivity, and specificity in evaluation of HER2 gene were achieved by MS images (AUC = 0.91, 89.1 %, 83.2 %) than RGB images (AUC = 0.87, 84.5, and 81.8 %). There was no significant difference between quantitative results of RGB images and clinico-pathological characteristics (P > 0.05). However, by quantifying MS images, the total signal OD values of HER2 positive expression were correlated with lymph node status and histological grades (P = 0.02 and 0.04). Additionally, the consistency test results indicated the inter-observer agreement was more robust in MS images for HER2 (inter-class correlation coefficient (ICC) = 0.95, r $_{s}$ = 0.94), CK5/6 (ICC = 0.90, r $_{s}$ = 0.88), and ER (ICC = 0.94, r $_{s}$ = 0.94) (all P < 0.001) than that in RGB images for HER2 (ICC = 0.91, r $_{s}$ = 0.89), CK5/6 (ICC = 0.85, r $_{s}$ = 0.84), and ER (ICC = 0.90, r $_{s}$ = 0.89) (all P < 0.001). Our results suggest that the application of MS images in quantitative IHC analysis could obtain higher accuracy, reliability, and more information of protein expression in relation to clinico-pathological characteristics versus conventional RGB images. It may become an optimal IHC digital imaging system used in quantitative pathology.
Starting Page	5013
Ending Page	5024
Page Count	12
File Format	PDF
ISSN	10104283
Journal	Tumor Biology
Volume Number	37
Issue Number	4
e-ISSN	14230380
Language	English
Publisher	Springer Netherlands
Publisher Date	2015-11-05
Publisher Place	Dordrecht
Access Restriction	Subscribed
Subject Keyword	Invasive breast cancer Multispectral imaging Immunohistochemistry Quantitative image analysis Optical density Cancer Research
Content Type	Text
Resource Type	Article
Subject	Medicine Cancer Research

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