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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
References

email: [email protected]

I 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 al. CT-Based Visual Classification of Emphysema: Association with Mortality in the COPDGene Study. Radiology. 2018;288(3):859-66.

4. Ash S, Harmouche R, Vallejo D et al. Densitometric and Local Histogram Based Analysis of Computed Tomography Images in Patients with Idiopathic Pulmonary Fibrosis. Respir Res. 2017;18(1):45.

5. Bumm R, Zaffino P, Lasso A et al. Artificial Intelligence (AI)-Assisted Chest Computer Tomography (CT) Insights: A Study on Intensive Care Unit (ICU) Admittance Trends in 78 Coronavirus Disease 2019 (COVID-19) Patients. J Thorac Dis. 2024;16(2):1009-20. 

6. Di Pentima C, Cecchini S, Spannella F et al. Radiological Lung Sequelae, Functional Status and Symptoms in Older Patients 3 and 6 Months After Hospitalization for COVID-19 Pneumonia. Intern Emerg Med. 2023;18(4):1075-85. 
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