Publications by authors named "O Weinheimer"

Background: Computed tomography pulmonary angiography (CTPA) is frequently performed in patients with pulmonary hypertension (PH) and may aid non-invasive estimation of pulmonary hemodynamics. We, therefore, investigated automated volumetry of intrapulmonary vasculature on CTPA, separated into core and peel fractions of the lung volume and its potential to differentially reflect pulmonary hemodynamics in patients with pre- and postcapillary PH.

Methods: A retrospective case-control study of 72 consecutive patients with PH according to the 2022 joint guidelines of the European Society of Cardiology and the European Respiratory Society who underwent right heart catheterization (RHC) and CTPA within 7 days between August 2013 and February 2016 at Thoraxklinik at Heidelberg University Hospital (Heidelberg, Germany) was conducted.

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Objectives: We hypothesized that semiquantitative visual scoring of lung MRI is suitable for GOLD-grade specific characterization of parenchymal and airway disease in COPD and that MRI scores correlate with quantitative CT (QCT) and pulmonary function test (PFT) parameters.

Methods: Five hundred ninety-eight subjects from the COSYCONET study (median age = 67 (60-72)) at risk for COPD or with GOLD1-4 underwent PFT, same-day paired inspiratory/expiratory CT, and structural and contrast-enhanced MRI. QCT assessed total lung volume (TLV), emphysema, and air trapping by parametric response mapping (PRM, PRM) and airway disease by wall percentage (WP).

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Article Synopsis
  • The study evaluates a deep learning model (LCP-CNN) for classifying the risk of incidentally detected pulmonary nodules, comparing its performance to traditional statistical methods like the Brock model and Lung-RADS®.
  • LCP-CNN showed superior diagnostic accuracy and sensitivity across various patient cohorts, making it more effective for identifying malignant nodules compared to the other methods.
  • The findings suggest that integrating deep learning systems can enhance clinical workflows for managing pulmonary nodules, regardless of a patient’s specific risk factors or conditions.
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Article Synopsis
  • - The study aimed to evaluate tracheal collapsibility using low-dose 4D CT, comparing the results with traditional methods like inspiratory-expiratory CT and bronchoscopy in patients suspected of tracheal collapse.
  • - Researchers analyzed 4D CT scans from 52 patients, finding that 48% exhibited significant tracheal collapsibility (50% or greater) and noted differences between visual 4D CT assessments and other diagnostic methods regarding detection rates of collapsibility.
  • - Results showed that 4D CT was superior in identifying patients with severe collapsibility compared to both paired CT and bronchoscopy, with significant differences in collapsibility measurements between the groups assessed.
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Objective: Investigate the feasibility of detecting early treatment-induced tumor tissue changes in patients with advanced lung adenocarcinoma using diffusion-weighted MRI-derived radiomics features.

Methods: This prospective observational study included 144 patients receiving either tyrosine kinase inhibitors (TKI, n = 64) or platinum-based chemotherapy (PBC, n = 80) for the treatment of pulmonary adenocarcinoma. Patients underwent diffusion-weighted MRI the day prior to therapy (baseline, all patients), as well as either + 1 (PBC) or + 7 and + 14 (TKI) days after treatment initiation.

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