Zobrazeno 1 - 10
of 1 184
pro vyhledávání: '"quantitative ct"'
Autor:
Wen-Ruei Tang, Chao-Chun Chang, Chen-Yu Wu, Chih-Jung Wang, Tsung-Han Yang, Kuo-Shu Hung, Yi-Sheng Liu, Chia-Ying Lin, Yi-Ting Yen
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-10 (2024)
Abstract Objectives Chest computed tomography (CT) can diagnose and assess the severity of pulmonary contusions. However, in cases of severe lung contusion, the total lung volume ratio may not accurately predict severity. This study investigated the
Externí odkaz:
https://doaj.org/article/e2815ef27878400aa91e75c63fc73579
Autor:
Sebastian Sanduleanu, Koray Ersahin, Jonathan Kottlors, Johannes Bremm, Narmin Talibova, Tim Damer, Merve Erdogan, Nils Groβe Hokamp, Lukas Goertz, Nijat Nasirov, Vilayat Valiyev, Christiane Bruns, David Maintz, Nuran Abdullayev
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-7 (2024)
Abstract Anecdotal evidence from preliminary observations has noted multiple instances where osteoporosis is present in elderly patients before the clinical detection of bowel disease, even in the absence of overt gastrointestinal symptoms. However,
Externí odkaz:
https://doaj.org/article/83aa2898aaf44f3dba2b13667b7e6592
Publikováno v:
BMC Pulmonary Medicine, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Background Idiopathic Pulmonary Fibrosis (IPF) is a progressive fibrotic lung disease. However, the field of quantitative CT scan analysis in conjunction with pulmonary function test for IPF patients remains relatively understudied. In this
Externí odkaz:
https://doaj.org/article/a62c91d514334d2bb420256314deeaed
Autor:
Dong Yun Lee, Jungsu S. Oh, Ji Wan Kim, Seung Hun Lee, Beom-Jun Kim, Jung-Min Koh, Jae Seung Kim, Jin-Sook Ryu
Publikováno v:
EJNMMI Research, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Background Serum bone turnover markers offer limited insight into metabolic activity at the individual vertebra level in osteoporosis. This study introduces a novel image-derived bone turnover marker for individual vertebrae to address this
Externí odkaz:
https://doaj.org/article/e79de65b9f514771856f2524b58ae218
Publikováno v:
Heliyon, Vol 10, Iss 18, Pp e37096- (2024)
Rationale and objectives: This study aims to evaluate the effectiveness of integrating clinical data and quantitative CT parameters with machine learning techniques in forecasting the short-term outcomes of severe COVID-19 in elderly patients. Materi
Externí odkaz:
https://doaj.org/article/86e1626bfc9d4e3b9d51670c058d0a9f
Autor:
Xionghui WANG, Juan PAN, Yuan NIU, Min SHEN, Weiling YIN, Jianlong LI, Xiaoqi HUANG, Youmin GUO
Publikováno v:
CT Lilun yu yingyong yanjiu, Vol 33, Iss 2, Pp 189-196 (2024)
Objective: To find the optimal quantitative index of emphysema by comparing and analyzing the quantitative indexes of emphysema in patients with mild to moderate chronic obstruction pulmonary disease (COPD) via registered biphasic quantitative comput
Externí odkaz:
https://doaj.org/article/4b407c879fa74fb98dfb1a7255a2394f
Publikováno v:
CT Lilun yu yingyong yanjiu, Vol 33, Iss 2, Pp 213-220 (2024)
Objective: To study the relation between adult vertebral bone mineral density (BMD) and gender and age in Foshan, to explore the average BMD of each age group and osteoporosis (OP) incidence distribution in the region. Methods: Quantitative computed
Externí odkaz:
https://doaj.org/article/96feb4814e6f4406aa60062cde936a9c
Publikováno v:
BMC Musculoskeletal Disorders, Vol 25, Iss 1, Pp 1-13 (2024)
Abstract Objective To develop and evaluate a deep learning model based on chest CT that achieves favorable performance on opportunistic osteoporosis screening using the lumbar 1 + lumbar 2 vertebral bodies fusion feature images, and explore the feasi
Externí odkaz:
https://doaj.org/article/eb51213d06ed45ce86e9e417ba01419c
Publikováno v:
Applied Sciences, Vol 14, Iss 16, p 7407 (2024)
X-ray CT imaging is an important three-dimensional non-destructive testing technique, which has been widely applied in various fields. However, segmenting image voxels as discrete material compositions may lose information below the voxel size. In th
Externí odkaz:
https://doaj.org/article/a09ad30eac6249e09a0325f088c800a8
Publikováno v:
CT Lilun yu yingyong yanjiu, Vol 32, Iss 5, Pp 595-602 (2023)
Objective: To quantitatively analyze and compare the chest computed tomography (CT) imaging features of patients infected with delta and omicron variants of COVID-19 using artificial intelligence (AI). Method: The clinical data of 294 patients infect
Externí odkaz:
https://doaj.org/article/adaf4ba9a48347a5b480522d3ab25eb7