Sinus computed tomography predicts clinical response to corticosteroids in chronic rhinosinusitis with nasal polyps

10.1186/s13601-018-0211-1

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Main Authors: Hong, H, Wang, D, Tan, K.S, Zheng, R, Chen, F, Gao, W, He, H, Shi, J, Fan, Y, Yang, Q, Sun, Y
Other Authors: OTOLARYNGOLOGY
Format: Article
Published: 2020
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Online Access:https://scholarbank.nus.edu.sg/handle/10635/177851
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-1778512024-04-25T07:07:38Z Sinus computed tomography predicts clinical response to corticosteroids in chronic rhinosinusitis with nasal polyps Hong, H Wang, D Tan, K.S Zheng, R Chen, F Gao, W He, H Shi, J Fan, Y Yang, Q Sun, Y OTOLARYNGOLOGY corticosteroid prednisone accuracy adult area under the curve Article chronic rhinosinusitis clinical article computer assisted tomography drug efficacy drug response eosinophil count human image analysis image quality leukocyte count male nose polyp predictive value prescription priority journal receiver operating characteristic risk assessment risk factor scoring system sensitivity and specificity treatment duration treatment outcome 10.1186/s13601-018-0211-1 Clinical and Translational Allergy 8 1 24 2020-10-20T03:33:30Z 2020-10-20T03:33:30Z 2018 Article Hong, H, Wang, D, Tan, K.S, Zheng, R, Chen, F, Gao, W, He, H, Shi, J, Fan, Y, Yang, Q, Sun, Y (2018). Sinus computed tomography predicts clinical response to corticosteroids in chronic rhinosinusitis with nasal polyps. Clinical and Translational Allergy 8 (1) : 24. ScholarBank@NUS Repository. https://doi.org/10.1186/s13601-018-0211-1 20457022 https://scholarbank.nus.edu.sg/handle/10635/177851 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ Unpaywall 20201031
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
topic corticosteroid
prednisone
accuracy
adult
area under the curve
Article
chronic rhinosinusitis
clinical article
computer assisted tomography
drug efficacy
drug response
eosinophil count
human
image analysis
image quality
leukocyte count
male
nose polyp
predictive value
prescription
priority journal
receiver operating characteristic
risk assessment
risk factor
scoring system
sensitivity and specificity
treatment duration
treatment outcome
spellingShingle corticosteroid
prednisone
accuracy
adult
area under the curve
Article
chronic rhinosinusitis
clinical article
computer assisted tomography
drug efficacy
drug response
eosinophil count
human
image analysis
image quality
leukocyte count
male
nose polyp
predictive value
prescription
priority journal
receiver operating characteristic
risk assessment
risk factor
scoring system
sensitivity and specificity
treatment duration
treatment outcome
Hong, H
Wang, D
Tan, K.S
Zheng, R
Chen, F
Gao, W
He, H
Shi, J
Fan, Y
Yang, Q
Sun, Y
Sinus computed tomography predicts clinical response to corticosteroids in chronic rhinosinusitis with nasal polyps
description 10.1186/s13601-018-0211-1
author2 OTOLARYNGOLOGY
author_facet OTOLARYNGOLOGY
Hong, H
Wang, D
Tan, K.S
Zheng, R
Chen, F
Gao, W
He, H
Shi, J
Fan, Y
Yang, Q
Sun, Y
format Article
author Hong, H
Wang, D
Tan, K.S
Zheng, R
Chen, F
Gao, W
He, H
Shi, J
Fan, Y
Yang, Q
Sun, Y
author_sort Hong, H
title Sinus computed tomography predicts clinical response to corticosteroids in chronic rhinosinusitis with nasal polyps
title_short Sinus computed tomography predicts clinical response to corticosteroids in chronic rhinosinusitis with nasal polyps
title_full Sinus computed tomography predicts clinical response to corticosteroids in chronic rhinosinusitis with nasal polyps
title_fullStr Sinus computed tomography predicts clinical response to corticosteroids in chronic rhinosinusitis with nasal polyps
title_full_unstemmed Sinus computed tomography predicts clinical response to corticosteroids in chronic rhinosinusitis with nasal polyps
title_sort sinus computed tomography predicts clinical response to corticosteroids in chronic rhinosinusitis with nasal polyps
publishDate 2020
url https://scholarbank.nus.edu.sg/handle/10635/177851
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