ArticleScientific reports2021
Generalized chest CT and lab curves throughout the course of COVID-19.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed, 17 citations in OpenAlex.
- Spatial Immune Model of Alveolar Lung Infection (SIMALI) Identifies Structural Determinants of Lung Inflammation.Research square · 2026Article
- Diaphragm thickness and ICU admission risk in elderly COVID-19 patients: a CT-based analysis.BMC pulmonary medicine · 2025Article
- Deep-learning segmentation to select liver parenchyma for categorizing hepatic steatosis on multinational chest CT.Scientific reports · 2024Article
- Chest CT in covid-19 pneumonia's follow-up: A 30 patients case series.Annals of medicine and surgery (2012) · 2022Article
- Towards a multi-scale computer modeling workflow for simulation of pulmonary ventilation in advanced COVID-19.Computers in biology and medicine · 2022Article
- COVID-MTL: Multitask learning with Shift3D and random-weighted loss for COVID-19 diagnosis and severity assessment.Pattern recognition · 2022Article
- Spatially distributed infection increases viral load in a computational model of SARS-CoV-2 lung infection.PLoS computational biology · 2021Article
- CT of Post-Acute Lung Complications of COVID-19.Radiology · 2021Review
Corrections and comments
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Authors and funding
23 authors at 10 institutions in 3 countries.
Funding
Abstract
A better understanding of temporal relationships between chest CT and labs may provide a reference for disease severity over the disease course. Generalized curves of lung opacity volume and density over time can be used as standardized references from well before symptoms develop to over a month after recovery, when residual lung opacities remain. 739 patients with COVID-19 underwent CT and RT-PCR in an outbreak setting between January 21st and April 12th, 2020. 29 of 739 patients had serial exams (121 CTs and 279 laboratory measurements) over 50 ± 16 days, with an average of 4.2 sequential CTs each. Sequential volumes of total lung, overall opacity and opacity subtypes (ground glass opacity [GGO] and consolidation) were extracted using deep learning and manual segmentation. Generalized temporal curves of CT and laboratory measurements were correlated. Lung opacities appeared 3.4 ± 2.2 days prior to symptom onset. Opacity peaked 1 day after symptom onset. GGO onset was earlier and resolved later than consolidation. Lactate dehydrogenase, and C-reactive protein peaked earlier than procalcitonin and leukopenia. The temporal relationships of quantitative CT features and clinical labs have distinctive patterns and peaks in relation to symptom onset, which may inform early clinical course in patients with mild COVID-19 pneumonia, or may shed light upon chronic lung effects or mechanisms of medical countermeasures in clinical trials.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.