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Objectives: Lung ultrasound (LUS) is emerging as a valuable tool for assessing systemic sclerosis-associated interstitial lung disease (SSc-ILD), although it traditionally explores only superficial lung regions. Building upon our preliminary findings, this study investigated correlations between quantitative LUS scores and automated quantitative computed tomography (qCT) measurement of ILD extent, including both superficial and deeper lung involvement.
Methods: Between 2021 and 2023, 82 consecutive SSc patients underwent concurrent LUS and CT scans. Total B-lines (BL) count (range 0-140) and our novel pleural line irregularity (PLI) score (range 0-28) were obtained using a 14-intercostal space scanning protocol. CT scans were analysed by automated texture analysis software, quantifying volumes of ILD, ground-glass opacities (GGO) and reticulations (RET), segmented in three levels (apices, midfields, bases) and subdivided in surface and core lung parenchyma.
Results: Total BL count and PLI score correlated with total ILD, GGO and RET volumes (all p< 0.0001), as well as with surface and core ILD volumes (all p< 0.0001). Basal lung BLs and PLI score correlated with basal ILD, GGO, RET (all p< 0.005), and corresponding surface and core ILD volumes (all p< 0.005). Mid-lung PLI correlated also with corresponding ILD-related changes and surface and core ILD (all p< 0.005). These associations were confirmed by multivariate regression analysis.
Conclusions: Quantitative LUS score correlated with qCT-defined ILD extent, especially at lung bases. LUS scores (particularly the novel PLI score) were found to correlate with deeper ILD volume, suggesting potential to overcome traditional LUS limitations related to superficial lung assessment.
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http://dx.doi.org/10.1093/rheumatology/keaf328 | DOI Listing |
J Clin Med
August 2025
Rheumatology Unit, University of Pisa, 56126 Pisa, Italy.
Interstitial lung disease (ILD) is a frequent complication of rheumatoid arthritis (RA), representing the most common extra-articular manifestation (with a prevalence of about 10-60%) and the second cause of mortality. Spondyloarthritides (SpAs) are chronic arthritides that share with RA both a similar disease burden and similar therapeutical approaches. The evaluation of ILD is challenging, given the low sensitivity of X-ray and pulmonary function tests, and the radiation exposure linked to repetitive HRCT.
View Article and Find Full Text PDFJ Vet Intern Med
August 2025
Clinic for Small Animal Internal Medicine, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland.
Background: No data after hospitalization for acute pancreatitis (AP) in dogs comparing clinical signs to lipase results exists.
Objectives: Evaluate disease severity, lipase activity, and pancreatic lipase immunoreactivity (PLI) after hospitalization for suspected AP.
Animals: One hundred and six client-owned dogs with a minimum of one re-check 2 weeks after hospitalization for AP.
Sci Rep
July 2025
Department of Stomatology, Fujian Medical University Union Hospital, No. 29 Xinquan Road, Gulou District, Fuzhou City, Fujian Province, China.
As the sixth complication of diabetes, periodontitis interacts with diabetes to form a vicious circle. Periodontal health interventions can improve periodontal health and the quality of life in older patients with type 2 diabetes mellitus (T2DM). This study aimed to explore the effect of periodontal health interventions based on the Pender Health Promotion Model on periodontal outcome index and quality of life in this patient population.
View Article and Find Full Text PDFJ Evid Based Dent Pract
September 2025
Faculty of Dentistry, Department of Pediatric Dentistry and Dental Public Health, Alexandria University, Alexandria, Egypt.
Objectives: Molar-incisor hypomineralization (MIH) can cause hypersensitivity. This study compared nanosilver fluoride (NSF) and photobiomodulation therapy (PBMT) regarding desensitization in MIH-affected first permanent molars (FPMs) and plaque reduction.
Methods: Children aged 7-10 years, with 120 hypersensitive MIH-affected FPMs, were randomly assigned to receive NSF or PBMT.
Health Serv Res
July 2025
Geriatrics and Extended Care Data Analysis Center (GECDAC), Bronx, New York, USA.
Objective: To identify risk of long-term institutionalization (LTI) among Veterans receiving care in the Veterans Health Administration (VA).
Study Setting And Design: We developed the "Predicted Long-term Institutionalization" (PLI) risk model for Veterans alive in the community at the end of fiscal-year (FY) 2017 followed for LTI in nursing home (cumulative NH days allowing any acute care and up to 7 days in community > 90 days) during FY2018-FY2019.
Data Sources And Analytic Sample: PLI used demographics, diagnoses, prior hospital and nursing home (NH) use, and risk indices for death and frailty from VA and Medicare claims and Minimum Data Set data.