High-quality chest CT segmentation to assess the impact of COVID-19 disease - Takeaways - MDSpire

High-quality chest CT segmentation to assess the impact of COVID-19 disease

  • By

  • Michele Bertolini

  • Alma Brambilla

  • Samanta Dallasta

  • Giorgio Colombo

  • August 6, 2021

  • 0 min

Share

  • 1

    COVID-19 is caused by SARS-CoV-2, leading to significant pulmonary complications including reduced oxygen diffusion and increased vascular permeability.

  • 2

    Chest CT imaging can assist in diagnosing COVID-19, monitoring disease progression, and evaluating treatment efficacy despite limitations in RT-PCR sensitivity.

  • 3

    Segmentation of CT images allows for 3D modeling of lung pathology, aiding in the assessment of disease extent and facilitating clinical decision-making.

  • 4

    Manual segmentation of airways is time-consuming and prone to variability, prompting the development of automatic methods for improved accuracy.

  • 5

    The study aimed to implement effective 3D segmentation techniques to visualize COVID-19 effects and enhance the interpretation of CT findings.

Original Source(s)

High-quality chest CT segmentation to assess the impact of COVID-19 disease

  • by Michele Bertolini, Alma Brambilla, Samanta Dallasta, Giorgio Colombo

  • August 6, 2021

Related Content

AI Scribes Lag Clinicians on Note Quality

A VHA study across 11 vendors finds AI-generated primary care notes score lower than clinician-written notes, with the largest deficits in thoroughness, organization, and usefulness

The Unexpected Risks of Liquid Nitrogen Ingestion 

A case report describes gastric perforation following ingestion of a liquid nitrogen–infused drink 

ESR Essentials: imaging in nasal obstruction and epistaxis—practice recommendations by the European Society of Head and Neck Radiology