[HTML][HTML] Evaluation of emphysema on thoracic low-dose CTs through attention-based multiple instance deep learning
In addition to lung cancer, other thoracic abnormalities, such as emphysema, can be
visualized within low-dose CT scans that were initially obtained in cancer screening …
visualized within low-dose CT scans that were initially obtained in cancer screening …
Utility of fully automated body composition measures on pretreatment abdominal CT for predicting survival in patients with colorectal cancer
MH Lee, SG Pickhardt, JW Garrett… - American Journal of …, 2023 - Am Roentgen Ray Soc
Please see the Editorial Comment by Hyun Soo Ko discussing this article. BACKGROUND.
CT examinations contain opportunistic body composition data with potential prognostic …
CT examinations contain opportunistic body composition data with potential prognostic …
[HTML][HTML] Segment aorta and localize landmarks simultaneously on noncontrast CT using a multitask learning framework for patients without severe vascular disease
Background Non-contrast chest CT is widely used for lung cancer screening, and its images
carry potential information of the thoracic aorta. The morphological assessment of the …
carry potential information of the thoracic aorta. The morphological assessment of the …
Body composition assessment with limited field-of-view computed tomography: A semantic image extension perspective
Abstract Field-of-view (FOV) tissue truncation beyond the lungs is common in routine lung
screening computed tomography (CT). This poses limitations for opportunistic CT-based …
screening computed tomography (CT). This poses limitations for opportunistic CT-based …
[HTML][HTML] Association between hip bone mineral density and mortality risk after hip fracture: a prospective cohort study
Y Ge, Y Chen, G Liu, S Zhu, B Li, M Tian… - Calcified tissue …, 2023 - Springer
Factors related to mortality after osteoporotic hip fracture (HF) have been investigated
intensively, except for proximal femoral bone mineral density (BMD), which is also the …
intensively, except for proximal femoral bone mineral density (BMD), which is also the …
Detection of moderate hepatic steatosis on portal venous phase contrast-enhanced CT: evaluation using an automated artificial intelligence tool
PJ Pickhardt, GM Blake, Y Kimmel… - American Journal of …, 2023 - Am Roentgen Ray Soc
BACKGROUND. Precontrast CT is an established means of evaluating for hepatic steatosis;
postcontrast CT has historically been limited for this purpose. OBJECTIVE. The purpose of …
postcontrast CT has historically been limited for this purpose. OBJECTIVE. The purpose of …
CT number accuracy and association with object size: a phantom study comparing energy-integrating detector CT and deep silicon photon-counting detector CT
AM Salyapongse, SD Rose… - American Journal of …, 2023 - Am Roentgen Ray Soc
BACKGROUND. Variable beam hardening based on patient size causes variation in CT
numbers for energy-integrating detector (EID) CT. Photon-counting detector (PCD) CT more …
numbers for energy-integrating detector (EID) CT. Photon-counting detector (PCD) CT more …
Automated CT Analysis of Body Composition as a Frailty Biomarker in Abdominal Surgery
IA Fumagalli, ST Le, PD Peng, P Kipnis, VX Liu… - JAMA …, 2024 - jamanetwork.com
Importance Prior studies demonstrated consistent associations of low skeletal muscle mass
assessed on surgical planning scans with postoperative morbidity and mortality. The …
assessed on surgical planning scans with postoperative morbidity and mortality. The …
[HTML][HTML] Artificial Intelligence Applications for Osteoporosis Classification Using Computed Tomography
W Ong, RW Liu, A Makmur, XZ Low, WJ Sng, JH Tan… - Bioengineering, 2023 - mdpi.com
Osteoporosis, marked by low bone mineral density (BMD) and a high fracture risk, is a major
health issue. Recent progress in medical imaging, especially CT scans, offers new ways of …
health issue. Recent progress in medical imaging, especially CT scans, offers new ways of …
Advances in Thoracic Imaging: Key Developments in the Past Decade and Future Directions
M Nishino, ML Schiebler - Radiology, 2023 - pubs.rsna.org
(AI) in thoracic imaging, particularly in the interpretation of chest radiographs. The use of
deep learning to detect pulmonary tuberculosis on chest radiographs has demonstrated …
deep learning to detect pulmonary tuberculosis on chest radiographs has demonstrated …