Year: 2025
Type: article
Abstract: Radiologists are witnessing astonishing innovation and advancement of CT technologies and their clinical applications. This review highlights how photon-counting CT (PCCT), upright CT, and artificial intelligence (AI) may impact cardiothoracic CT applications for imaging and diagnosis. PCCT relies on new detectors that can bin the separate photon energies and allow for lower radiation dose and better spatial resolution. The clinical applications of PCCT in the coronary arteries are becoming the new standard for cardiac CT imaging. New upright CT has shown the benefits of imaging in the upright position and offers new insight into how the upright position affects biomechanics and physiology. Four-dimensional CT, which can be used to directly image perfusion, is challenging MRI and MR angiography for primacy in this area. The burgeoning role of AI and informatics is changing the way radiologists interpret and report many imaging examinations. The future is bright and promises lower radiation and intravenous contrast agent doses and higher spatial resolution, and will further incorporate deep learning to improve the effectiveness of CT.
Source: Radiology
Institutions: University of Wisconsin–Madison, Keio University, The University of Osaka, Emory University, Johns Hopkins University, Johns Hopkins Medicine, Kyushu University, Radboud University Medical Center, Inserm, Centre Hospitalier Universitaire de Bordeaux, Brigham and Women's Hospital, Harvard University
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: green
Awards: G1200984374, Elucidation of age-related changes and pathology and establishment of a method for early detection of diseases using upright CT: Aiming at extending healthy life expectancy, G1311591790, Quantitative evaluation of anatomical structures of the whole body using CT in a standing or sitting position: comp arison with CT in a supine position, G437020959, Interstitial Lung Abnormalities: Defining the Phenotype, Causes, and Consequences., Elucidation of human body function using upright CT ~Looking at the era of healthy longevity~, G554584989, G573304077, G583249037, G606973735, Development of a general-purpose computer-aided diagnosis system using VAE that can be used for a small number of cases, Elucidation of undetermined pathological mechanism and quantification of the diseases that demonstrate more relevant symptoms in the standing position than in the supine position by using upright CT, Establishment of a New Lung Cancer Image Analysis Method for Ultra-High Resolution CT: Search for Image Factors Contributing to Diagnostic Performance and AI Analysis
OpenAlex ID: W4411179771