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Congress: ECR25
Poster Number: C-24742
Type: Poster: EPOS Radiologist (educational)
DOI: 10.26044/ecr2025/C-24742
Authorblock: F. Buemi; Messina, ME/IT
Disclosures:
Francesco Buemi: Nothing to disclose
Keywords: Thorax, CT, Computer Applications-General, Atelectasis, Infection, Neoplasia
Learning objectives To introduce radiologists to Chest Imaging Platform (CIP) in 3D-Slicer, an open-source tool for chest imaging analysis, through practical examples and cases.
Read more Background Developed by the Applied Chest Imaging Laboratory at Brigham and Women's Hospital (Harvard Medical School), CIP is a free, open-source workstation designed exclusively for research purposes, as it is not FDA-approved or CE-marked. However, it is an interesting tool for clinicians interested in exploring the quantitative aspects of CT chest imaging, especially at institutions that cannot afford pay-per-use similar software due to financial constraints.CIP can be downloaded as part of a pre-configured 3D Slicer package from https://chestimagingplatform.org/, which includes the...
Read more Findings and procedure details Case 1A man in his early fifties, heavy smoker. Lung CT Analyzer highlights severe emphysema affecting both lungs, with a larger volume in the right lung. Additionally, infiltrates and collapsed areas contribute to further functional impairment, suggesting chronic inflammation or fibrosis. These findings are consistent with advanced COPD, as confirmed by spirometry. [fig 15] [fig 16] Educational points: CIP can be employed in studies which need quantification of emphysema, air trapping, airway abnormality and vascular pruning in COPD patients. In COPD, the Parenchyma Analysis module reveals a...
Read more Conclusion The major advantage of CIP is that it is free and readily accessible to radiologists interested in chest imaging research. Its user-friendly interface and comprehensive tools for lung parenchyma and airway analysis make it an invaluable resource for research purposes.However, its limitations must be recognized. A thorough preliminary validation of CIP is crucial before initiating clinical studies. This validation should rigorously evaluate its accuracy and effectiveness against commercially available tools to confirm its reliability and suitability for research applications.
Read more References email: [email protected] performed the volumetric analyses and visualization in 3D Slicer (http://www.slicer.org) via the Lung CT Analyzer project (https://github.com/Slicer/SlicerLungCTAnalyzer/). References:1. Hofmanninger J, Prayer F, Pan J, Röhrich S, Prosch H, Langs G. Automatic Lung Segmentation in Routine Imaging is Primarily a Data Diversity Problem, Not a Methodology Problem. Eur Radiol Exp. 2020;4(1):50.2. Wasserthal J, Breit H, Meyer M et al. TotalSegmentator: Robust Segmentation of 104 Anatomic Structures in CT Images. Radiology: Artificial Intelligence. 2023;5(5):e230024.3. Lynch D, Moore C, Wilson C et...
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