ArticleLa Radiologia medica2021
Quantitative Chest CT analysis in discriminating COVID-19 from non-COVID-19 patients.
Article in La Radiologia medica, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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35 citing papers in PubMed, 49 citations in OpenAlex.
- Consolidation-to-ground-glass opacity ratio on chest CT as a prognostic marker for critical outcomes in COVID-19: a retrospective cohort study.BMC pulmonary medicine · 2025Article
- Texture analysis improves lung-tissue segmentation on high-resolution computed tomography in COVID-19.Frontiers in radiology · 2025Article
- A retrospective study ofFrontiers in oncology · 2024Article
- Tips and Tricks in Thoracic Radiology for Beginners: A Findings-Based Approach.Tomography (Ann Arbor, Mich.) · 2023Review
- Imaging of metabolic and overload disorders in tissues and organs.Japanese journal of radiology · 2023Review
- Qualitative and semi-quantitative ultrasound assessment in delta and Omicron Covid-19 patients: data from high volume reference center.Infectious agents and cancer · 2023Article
- A multicenter evaluation of a deep learning software (LungQuant) for lung parenchyma characterization in COVID-19 pneumonia.European radiology experimental · 2023Article
- Exploring Radiologists' Burnout in the COVID-19 Era: A Narrative Review.International journal of environmental research and public health · 2023Review
- Radiation Recall Pneumonitis: The Open Challenge in Differential Diagnosis of Pneumonia Induced by Oncological Treatments.Journal of clinical medicine · 2023Review
- Radiomics in medical imaging: pitfalls and challenges in clinical management.Japanese journal of radiology · 2022Review
- Prognostic Value of Chest-Computed Tomography in Patients with COVID-19.Advances in respiratory medicine · 2022Article
- Quantitative chest computed tomography combined with plasma cytokines predict outcomes in COVID-19 patients.Heliyon · 2022Article
- Imaging Severity COVID-19 Assessment in Vaccinated and Unvaccinated Patients: Comparison of the Different Variants in a High Volume Italian Reference Center.Journal of personalized medicine · 2022Article
- Pulmonary Lymphangitis Poses a Major Challenge for Radiologists in an Oncological Setting during the COVID-19 Pandemic.Journal of personalized medicine · 2022Article
- Extracorporeal membrane oxygenation (ECMO) in COVID-19 patients: a pocket guide for radiologists.La Radiologia medica · 2022Review
- An update on radiomics techniques in primary liver cancers.Infectious agents and cancer · 2022Article
- Distinguishing COVID-19 From Influenza Pneumonia in the Early Stage Through CT Imaging and Clinical Features.Frontiers in microbiology · 2022Article
- Fungal infection mimicking COVID-19 infection - A case report.Open medicine (Warsaw, Poland) · 2022Article
- Intrahepatic cholangiocarcinoma and its differential diagnosis at MRI: how radiologist should assess MR features.La Radiologia medica · 2021Article
- Chest CT texture-based radiomics analysis in differentiating COVID-19 from other interstitial pneumonia.La Radiologia medica · 2021Article
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionCOVID-19 pneumonia is characterized by ground-glass opacities (GGOs) and consolidations on Chest CT, although these CT features cannot be considered specific, at least on a qualitative analysis. The aim is to evaluate if Quantitative Chest CT could provide reliable information in discriminating COVID-19 from non-COVID-19 patients. MATERIALS AND
methodsFrom March 31, 2020 until April 18, 2020, patients with Chest CT suggestive for interstitial pneumonia were retrospectively enrolled and divided into two groups based on positive/negative COVID-19 RT-PCR results. Patients with pulmonary resection and/or CT motion artifacts were excluded. Quantitative Chest CT analysis was performed with a dedicated software that provides total lung volume, healthy parenchyma, GGOs, consolidations and fibrotic alterations, expressed both in liters and percentage. Two radiologists in consensus revised software analysis and adjusted areas of lung impairment in case of non-adequate segmentation. Data obtained were compared between COVID-19 and non-COVID-19 patients and p < 0.05 were considered statistically significant. Performance of statistically significant parameters was tested by ROC curve analysis.
resultsFinal population enrolled included 190 patients: 136 COVID-19 patients (87 male, 49 female, mean age 66 ± 16) and 54 non-COVID-19 patients (25 male, 29 female, mean age 63 ± 15). Lung quantification in liters showed significant differences between COVID-19 and non-COVID-19 patients for GGOs (0.55 ± 0.26L vs 0.43 ± 0.23L, p = 0.0005) and fibrotic alterations (0.05 ± 0.03 L vs 0.04 ± 0.03 L, p < 0.0001). ROC analysis of GGOs and fibrotic alterations showed an area under the curve of 0.661 (cutoff 0.39 L, 68% sensitivity and 59% specificity, p < 0.001) and 0.698 (cutoff 0.02 L, 86% sensitivity and 44% specificity, p < 0.001), respectively.
conclusionsQuantification of GGOs and fibrotic alterations on Chest CT could be able to identify patients with COVID-19.
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