Low-dose vs standard-dose photon-counting CT for myopathy-associated interstitial lung disease: a prospective feasibility study.

Quantitative and qualitative lung parameters in photon-counting CT: comparison of ultra-low-dose with standard low-dose protocols.

OBJECTIVES Photon-counting CT (PCCT) enables dose reduction beyond energy-integrating CT, but ultra-low-dose acquisitions may impair assessment of airways and lung parenchyma. We evaluated the impact of ultra-low-dose (ULD) PCCT on quantitative and qualitative lung parameters. METHODS In this prospective study, 101 p...

A quantitative study: investigating the diagnostic value of using dual-layer spectral computed tomography in differentiating idiopathic inflammatory myopathy-associated interstitial lung disease

Dual-layer spectral CT provides complementary quantitative information for differentiating ASS-ILD from PM/DM-ILD even among patients with similar HRCT patterns or signs, especially in the lower lung lobes.

High performance of low-dose ultrahigh-resolution photon-counting detector CT for sacroiliac joint assessment in axial spondyloarthritis

Objectives To compare the performance of low-dose (LD) ultrahigh-resolution (UHR) photon-counting detector (PCD) CT with energy-integrating detector (EID) CT for sacroiliac joint assessment in axial spondyloarthritis (axSpA). Materials and Methods This was a prospective randomized study. AxSpA patients were enrolled an...

Dual-respiratory-phase low-dose quantitative CT for assessing COPD severity.

Association of dual-energy CT-derived quantitative parameters with hydroxyproline levels and pulmonary function in nonspecific interstitial pneumonia

DECT enables noninvasive quantification of lung HYP-ED in NSIP and HYP‑ED correlates with disease severity and may serve as a promising imaging biomarker for fibrosis assessment and monitoring.

Deep Learning Image Reconstruction Algorithm for Quantitative Assessment of Low-Dose Biphasic Chest CT in Chronic Obstructive Pulmonary Disease

Objective To evaluate the impact of deep learning image reconstruction (DLIR) on quantitatively assessing emphysema, air trapping and small airway dysfunction in chronic obstructive pulmonary disease (COPD) using low-dose inspiratory–expiratory chest CT. Methods Sixty-nine COPD patients underwent low-dose inspiratory-e...