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Three-dimensional reconstruction of laryngeal cancer with whole organ serial immunohistochemical sections

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单位: [1]Department of Otolaryngology, Head & Neck Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing, China [2]Department of General Surgery, The General Hospital of Taiyuan Iron & Steel Company, Taiyuan, China [3]Medical Department of Medical Insurance, Beijing Friendship Hospital, Capital Medical University, Beijing, China [4]Imaging Department, Shanxi Medical University, Taiyuan, China [5]Department of Otolaryngology, Head & Neck Surgery, Guy’s & St Thomas NHS Hospital, London, UK [6]Department of Nursing, Peking University Shenzhen Hospital, Shenzhen, China [7]Department of Otolaryngology, Head & Neck Surgery, the First Hospital of Shanxi Medical University, No.85, Jiefang South Road, Taiyuan 030001, China [8]Department of Head and Neck Surgery, Shanxi Provincial Cancer Hospital, Taiyuan, China
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Three-dimensional (3D) image reconstruction of tumors based on serial histological sectioning is one of the most powerful methods for accurate high-resolution visualization of tumor structures. However, 3D histological reconstruction of whole tumor has not yet been achieved. We established a high-resolution 3D model of molecular marked whole laryngeal cancer by optimizing the currently available techniques. A series of 5,388 HE stained or immunohistochemically stained whole light microscopic images (200 x) were acquired (15.61 TB).The data set of block-face images (96.2 GB) was also captured. Direct volume rendering of serial 6.25 x light microscopy images did not demonstrate the major characteristics of the laryngeal cancer as expected. Based on fusion of two datasets, the accurate boundary of laryngeal tumor bulk was visualized in an anatomically realistic context. In the regions of interest, micro tumor structure, budding, cell proliferation and tumor lymph vessels were well represented in 3D after segmentation, which highlighted the advantages of 3D reconstruction of light microscopy images. In conclusion, generating 3D digital histopathological images of a whole solid tumor based on current technology is feasible. However, data mining strategy should be developed for complete utilization of the large amount of data generated.

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出版当年[2019]版:
大类 | 3 区 综合性期刊
小类 | 3 区 综合性期刊
最新[2025]版:
大类 | 3 区 综合性期刊
小类 | 3 区 综合性期刊
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出版当年[2018]版:
Q1 MULTIDISCIPLINARY SCIENCES
最新[2023]版:
Q1 MULTIDISCIPLINARY SCIENCES

影响因子: 最新[2023版] 最新五年平均[2021-2025] 出版当年[2018版] 出版当年五年平均[2014-2018] 出版前一年[2017版] 出版后一年[2019版]

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第一作者单位: [1]Department of Otolaryngology, Head & Neck Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing, China
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