Rationale: There is a growing need to accurately estimate the prognosis of idiopathic
pulmonary fibrosis (IPF) in clinical practice, given the development of effective drugs for …

Idiopathic pulmonary fibrosis (IPF) is the most common type of progressive idiopathic
interstitial pneumonia in adults. Many computer-based image analysis methods of chest …

RATIONALE AND OBJECTIVES: Volumetric high-resolution scans can be acquired of the
lungs with multidetector CT (MDCT). Such scans have potential to facilitate useful …

Objective To investigate the prognostic value of deep learning (DL)–driven CT fibrosis
quantification in idiopathic pulmonary fibrosis (IPF). Methods Patients diagnosed with IPF …

Background Prior studies of clinical prognostication in idiopathic pulmonary fibrosis (IPF)
using computed tomography (CT) have often used subjective analyses or have evaluated …

Rationale and Objectives High-resolution computed tomography (HRCT) is paramount in
the assessment of interstitial lung disease (ILD). Yet, HRCT interpretation of ILDs may be …

AIM To compare the machine learning computed tomography (CT) quantification tool,
Computer-Aided Lung Informatics for Pathology Evaluation and Ratings (CALIPER) to …

Purpose To present the Gaussian Histogram Normalized Correlation (GHNC) system, to
quantify the extent of disease on computed tomography (CT) images of idiopathic pulmonary …

Purpose To evaluate associations between pulmonary function and both quantitative
analysis and visual assessment of thin-section computed tomography (CT) images at …

Simple Summary Idiopathic pulmonary fibrosis (IPF) patients have a significantly higher risk
of developing lung cancer. Traditional risk factors including age, male gender, smoking …