Distinguishing of Histopathological Staging Features of H-E Stained Human cSCC by Microscopical Multispectral Imaging
Rujuan Wu,
Jiayi Yang,
Qi Chen,
Changxing Yang,
Qianqian Ge,
Danni Rui,
Huazhong Xiang,
Dawei Zhang,
Cheng Wang,
Xiaoqing Zhao
Affiliations
Rujuan Wu
Institute of Biomedical Optics and Optometry, Key Lab of Optical Instruments and Equipment for Medical Engineering, Ministry of Education, University of Shanghai for Science and Technology, Shanghai 200093, China
Jiayi Yang
Department of Dermatology, School of Medicine, Ruijin Hospital, Shanghai Jiao Tong University, Shanghai 200093, China
Qi Chen
Department of Phototherapy, Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai 200093, China
Changxing Yang
Institute of Biomedical Optics and Optometry, Key Lab of Optical Instruments and Equipment for Medical Engineering, Ministry of Education, University of Shanghai for Science and Technology, Shanghai 200093, China
Qianqian Ge
Institute of Biomedical Optics and Optometry, Key Lab of Optical Instruments and Equipment for Medical Engineering, Ministry of Education, University of Shanghai for Science and Technology, Shanghai 200093, China
Danni Rui
Institute of Biomedical Optics and Optometry, Key Lab of Optical Instruments and Equipment for Medical Engineering, Ministry of Education, University of Shanghai for Science and Technology, Shanghai 200093, China
Huazhong Xiang
Institute of Biomedical Optics and Optometry, Key Lab of Optical Instruments and Equipment for Medical Engineering, Ministry of Education, University of Shanghai for Science and Technology, Shanghai 200093, China
Dawei Zhang
Engineering Research Center of Optical Instruments and Systems, Ministry of Education, Key Laboratory of Modern Optical Systems, Shanghai University of Technology, Shanghai 200093, China
Cheng Wang
Institute of Biomedical Optics and Optometry, Key Lab of Optical Instruments and Equipment for Medical Engineering, Ministry of Education, University of Shanghai for Science and Technology, Shanghai 200093, China
Xiaoqing Zhao
Department of Dermatology, School of Medicine, Ruijin Hospital, Shanghai Jiao Tong University, Shanghai 200093, China
Cutaneous squamous cell carcinoma (cSCC) is the second most common malignant skin tumor. Early and precise diagnosis of tumor staging is crucial for long-term outcomes. While pathological diagnosis has traditionally served as the gold standard, the assessment of differentiation levels heavily depends on subjective judgments. Therefore, how to improve the diagnosis accuracy and objectivity of pathologists has become an urgent problem to be solved. We used multispectral imaging (MSI) to enhance tumor classification. The hematoxylin and eosin (H&E) stained cSCC slides were from Shanghai Ruijin Hospital. Scale-invariant feature transform was applied to multispectral images for image stitching, while the adaptive threshold segmentation method and random forest segmentation method were used for image segmentation, respectively. Synthetic pseudo-color images effectively highlight tissue differences. Quantitative analysis confirms significant variation in the nuclear area between normal and cSCC tissues (p p < 0.001), also with an AUC of 1. Lastly, well differentiated cSCC tissues show more and larger keratin pearls. These results have shown that combined MSI with imaging processing techniques will improve H&E stained human cSCC diagnosis accuracy, and it will be well utilized to distinguish histopathological staging features.
