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Association Between CT Finding Changes and Clinical Course in COVID-19 Patients: A Single Center Retrospective Study.

Ali Akbar Mahdavi1, Masoomeh Raoufi1, Mina Hashemi1

  • 1Department of Radiology, Imam Hossein Hospital, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

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Increasing chest CT scan severity scores (CTSS) in COVID-19 patients predicts worsening clinical outcomes during hospitalization. This finding highlights CTSS as a crucial indicator for monitoring disease progression and patient management.

Keywords:
COVID-19Clinical outcomesRadiological findings

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Area of Science:

  • Radiology
  • Infectious Diseases
  • Pulmonology

Background:

  • COVID-19 presents with diverse clinical and radiological manifestations.
  • Early assessment of disease severity is crucial for patient management.
  • Radiological findings play a key role in evaluating COVID-19 progression.

Purpose of the Study:

  • To summarize baseline and radiological characteristics of COVID-19 patients.
  • To investigate the correlation between clinical outcomes and radiological findings within the first week of admission.
  • To identify predictors of clinical deterioration in hospitalized COVID-19 patients.

Main Methods:

  • Retrospective single-center study of RT-PCR confirmed COVID-19 cases.
  • Analysis of baseline demographics, comorbidities, and chest CT scan characteristics.
  • Correlation of CT scan Severity Score (CTSS) changes with clinical outcomes.

Main Results:

  • No significant demographic or comorbidity differences between CTSS progression and non-progression groups.
  • Patients with CTSS progression showed significantly higher CTSS on the second evaluation day.
  • Increased CTSS was a significant predictor of clinical deterioration and hospitalization.

Conclusions:

  • Chest CT scan Severity Score (CTSS) is a strong predictor of worsening clinical outcomes in COVID-19 patients.
  • Monitoring CTSS changes can aid in identifying patients at risk of severe disease.
  • Radiological assessment is vital for prognostication in COVID-19.