TY - JOUR
T1 - Microvessel quantification by fully convolutional neural networks associated with type 2 inflammation in chronic rhinosinusitis
AU - Liu, Wendong
AU - Liu, Xing
AU - Zhang, Nan
AU - Li, Jian
AU - Wen, Yihui
AU - Wei, Yi
AU - Li, Zhengqi
AU - Lu, Tong
AU - Wen, Weiping
N1 - KAUST Repository Item: Exported on 2023-05-31
Acknowledgements: Supported by the National Natural Science Foundation of China grants 82020108009, 81870696 (Dr W.P. Wen), and 81900918 (Dr Y.H. Wen), Guangdong Natural Science Foundation of China grant 2018B030312008 (Dr W.P. Wen), Guangdong Research Program of Key Fields in Province 2020B1111300003 (Dr W.P. Wen), and the Key-Area Research and Development of Guangdong Province 2020B1111190001 (Dr W.P. Wen)
PY - 2022/3/4
Y1 - 2022/3/4
N2 - Background
The pathogenesis of chronic rhinosinusitis (CRS) is still unclear, and little is known about angiogenesis in this disease. We utilized a fully convolutional network (FCN), which has been extensively used in image processing to study angiogenesis in CRS.
Objective
To explore the tissue quantification of microvessels and their potential association with inflammation in CRS by using FCN to reflect the angiogenesis condition in CRS.
Methods
For endotyping of CRS, tissue homogenates of 79 patients with CRS who had undergone functional endoscopic sinus surgery and 17 control subjects were analyzed for interferon gamma, transforming growth factor beta, interleukin (IL)-1β, IL-5, IL-6, IL-8, IL-10, IL-17, tumor necrosis factor alpha, eosinophilic cationic protein, immunoglobulin E, and Staphylococcus aureus-immunoglobulin E(SE-IgE). A total of 552 hematoxylin and eosin-stained images of 27 CRS tissue samples were used to develop an FCN, going through training, validation, and evaluation processes. An optimized FCN was applied to quantify the microvessels of tissue samples of all subjects. Correlation analysis between microvessel quantification with phenotype, endotype, clinical characteristics, and cytokine expression of CRS was carried out.
Results
Quantification of microvessels in type 2 and non-type 2 CRS demonstrated considerable differences, with a higher expression in type 2 CRS. There was a strong negative correlation between the area ratio of microvessels with tissue tumor necrosis factor alpha and transforming growth factor beta levels and a mildly positive correlation with tissue IL-5 and eosinophilic cationic protein concentration.
Conclusion
FCN proved to facilitate the analysis of microvessels in airway tissue samples. This study elucidated the close association of angiogenesis with endotyping, suggesting that treatment aiming at antagonizing angiogenesis may assist to the therapy for the recrudescent and refractory CRS.
AB - Background
The pathogenesis of chronic rhinosinusitis (CRS) is still unclear, and little is known about angiogenesis in this disease. We utilized a fully convolutional network (FCN), which has been extensively used in image processing to study angiogenesis in CRS.
Objective
To explore the tissue quantification of microvessels and their potential association with inflammation in CRS by using FCN to reflect the angiogenesis condition in CRS.
Methods
For endotyping of CRS, tissue homogenates of 79 patients with CRS who had undergone functional endoscopic sinus surgery and 17 control subjects were analyzed for interferon gamma, transforming growth factor beta, interleukin (IL)-1β, IL-5, IL-6, IL-8, IL-10, IL-17, tumor necrosis factor alpha, eosinophilic cationic protein, immunoglobulin E, and Staphylococcus aureus-immunoglobulin E(SE-IgE). A total of 552 hematoxylin and eosin-stained images of 27 CRS tissue samples were used to develop an FCN, going through training, validation, and evaluation processes. An optimized FCN was applied to quantify the microvessels of tissue samples of all subjects. Correlation analysis between microvessel quantification with phenotype, endotype, clinical characteristics, and cytokine expression of CRS was carried out.
Results
Quantification of microvessels in type 2 and non-type 2 CRS demonstrated considerable differences, with a higher expression in type 2 CRS. There was a strong negative correlation between the area ratio of microvessels with tissue tumor necrosis factor alpha and transforming growth factor beta levels and a mildly positive correlation with tissue IL-5 and eosinophilic cationic protein concentration.
Conclusion
FCN proved to facilitate the analysis of microvessels in airway tissue samples. This study elucidated the close association of angiogenesis with endotyping, suggesting that treatment aiming at antagonizing angiogenesis may assist to the therapy for the recrudescent and refractory CRS.
UR - http://hdl.handle.net/10754/676472
UR - https://linkinghub.elsevier.com/retrieve/pii/S1081120622001715
UR - http://www.scopus.com/inward/record.url?scp=85127333228&partnerID=8YFLogxK
U2 - 10.1016/j.anai.2022.02.025
DO - 10.1016/j.anai.2022.02.025
M3 - Article
C2 - 35257872
SN - 1081-1206
VL - 128
SP - 697-704.e1
JO - Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology
JF - Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology
IS - 6
ER -