Three-dimensional (3D) lung segmentation for diagnosis of COVID-19 and the communication of disease impact to the public

Schachner, Emma R.; Spieler, Bradley

doi:10.1136/bcr-2020-236943

Cited by 5 publications

(3 citation statements)

References 20 publications

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“…Data were acquired using a 128×0.625 mm or 64×0.625 mm detector configuration with dual sampling and a rotation time of 0.33 s (120 kVp 72 mAs). 41…”

Section: Explanation and Elaborationmentioning

confidence: 99%

CARE-radiology statement explanation and elaboration: reporting guideline for radiological case reports

Wang,

Luo,

Xiao

et al. 2024

BMJ EBM

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Despite the increasing number of radiological case reports, the majority lack a standardised methodology of writing and reporting. We therefore develop a reporting guideline for radiological case reports based on the CAse REport (CARE) statement. We established a multidisciplinary group of experts, comprising 40 radiologists, methodologists, journal editors and researchers, to develop a reporting guideline for radiological case reports according to the methodology recommended by the Enhancing the QUAlity and Transparency Of health Research network. The Delphi panel was requested to evaluate the significance of a list of elements for potential inclusion in a guideline for reporting mediation analyses. By reviewing the reporting guidelines and through discussion, we initially drafted 46 potential items. Following a Delphi survey and discussion, the final CARE-radiology checklist is comprised of 38 items in 16 domains. CARE-radiology is a comprehensive reporting guideline for radiological case reports developed using a rigorous methodology. We hope that compliance with CARE-radiology will help in the future to improve the completeness and quality of case reports in radiology.

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“…Data were acquired using a 128×0.625 mm or 64×0.625 mm detector configuration with dual sampling and a rotation time of 0.33 s (120 kVp 72 mAs). 41…”

Section: Explanation and Elaborationmentioning

confidence: 99%

CARE-radiology statement explanation and elaboration: reporting guideline for radiological case reports

Wang,

Luo,

Xiao

et al. 2024

BMJ EBM

View full text Add to dashboard Cite

show abstract

“…3D-printed nasopharyngeal swabs [40][41][42] have been the most frequently produced tools for the diagnosis of COVID-19. In addition, design and 3D printing of testing tubes [43]; rapid diagnostic kits such as PCR, ELISA, and CRISPR components [44][45][46]; and 3D printable organ models [47] are continuing.…”

Section: D Printing In the Diagnosis Of Covid-19mentioning

confidence: 99%

Novel additive manufacturing applications for communicable disease prevention and control: focus on recent COVID-19 pandemic

et al. 2021

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COVID-19 disease caused by the SARS-CoV-2 virus has had serious adverse effects globally in 2020 which are foreseen to extend in 2021, as well. The most important of these effects was exceeding the capacity of the healthcare infrastructures, and the related inability to meet the need for various medical equipment especially within the first months of the crisis following the emergence and rapid spreading of the virus. Urgent global demand for the previously unavailable personal protective equipment, sterile disposable medical supplies as well as the active molecules including vaccines and drugs fueled the need for the coordinated efforts of the scientific community. Amid all this confusion, the rapid prototyping technology, 3D printing, has demonstrated its competitive advantage by repositioning its capabilities to respond to the urgent need. Individual and corporate, amateur and professional all makers around the world with 3D printing capacity became united in effort to fill the gap in the supply chain until mass production is available especially for personal protective equipment and other medical supplies. Due to the unexpected, everchanging nature of the COVID-19 pandemic-like all other potential communicable diseases-the need for rapid design and 3D production of parts and pieces as well as sterile disposable medical equipment and consumables is likely to continue to keep its importance in the upcoming years. This review article summarizes how additive manufacturing technology can contribute to such cases with special focus on the recent COVID-19 pandemic.

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“…Utilizing CT images, it is possible to obtain 3D models, by means of segmentation, to allow the assessment of the extent and the distribution of the pathology, providing a useful tool for clinicians. Moreover, a volumetric quantification of the affected regions of the lung lobes can be performed [7]. Actually, both CT and magnetic resonance imaging (MRI) technologies could be adopted for the imaging and measurement of airways; however, CT is the established modality in the field [8].…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2021

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Purpose COVID-19 has spread rapidly worldwide since its initial appearance, creating the need for faster diagnostic methods and tools. Due to the high rate of false-negative RT-PCR tests, the role of chest CT examination has been investigated as an auxiliary procedure. The main goal of this work is to establish a well-defined strategy for 3D segmentation of the airways and lungs of COVID-19 positive patients from CT scans, including detected abnormalities. Their identification and the volumetric quantification could allow an easier classification in terms of gravity, extent and progression of the infection. Moreover, these 3D reconstructions can provide a high-impact tool to enhance awareness of the severity of COVID-19 pneumonia. Methods Segmentation process was performed utilizing a proprietary software, starting from six different stacks of chest CT images of subjects with and without COVID-19. In this context, a comparison between manual and automatic segmentation methods of the respiratory system was conducted, to assess the potential value of both techniques, in terms of time consumption, required anatomical knowledge and branch detection, in healthy and pathological conditions. Results High-quality 3D models were obtained. They can be utilized to assess the impact of the pathology, by volumetrically quantifying the extension of the affected areas. Indeed, based on the obtained reconstructions, an attempted classification for each patient in terms of the severity of the COVID-19 infection has been outlined. Conclusions Automatic algorithms allowed for a substantial reduction in segmentation time. However, a great effort was required for the manual identification of COVID-19 CT manifestations. The developed automated procedure succeeded in obtaining sufficiently accurate models of the airways and the lungs of both healthy patients and subjects with confirmed COVID-19, in a reasonable time.

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Three-dimensional (3D) lung segmentation for diagnosis of COVID-19 and the communication of disease impact to the public

Cited by 5 publications

References 20 publications

CARE-radiology statement explanation and elaboration: reporting guideline for radiological case reports

CARE-radiology statement explanation and elaboration: reporting guideline for radiological case reports

Novel additive manufacturing applications for communicable disease prevention and control: focus on recent COVID-19 pandemic

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

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