COVID-19 S: A new proposal for diagnosis and structured reporting of COVID-19 on computed tomography imaging

Gezer, Naciye Sinem; Ergan, Begüm; Barış, Mustafa; Appak, Özgür; Sayıner, Ayça Arzu; Balci, Pınar; Kuruüzüm, Ziya; Çavuş, Sema Alp; Kılınç, Oğuz

doi:10.5152/dir.2020.20351

Cited by 31 publications

(29 citation statements)

References 20 publications

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“…In this study, it was also demonstrated that the anatomic distribution of lung lesions may also help to distinguish COVID‐19 from other viral cases of pneumonia. As reported in the literature, COVID‐19 most commonly affects the lower zones (55%), peripheral parts (87%), and multifocal areas (55%) and the disease is generally quite extensive, with all five lobes being affected in 39% of patients 7,22,23 . All of these characteristics were more common in SARS‐CoV‐2 than the non–SARS‐CoV‐2 group of this study.…”

Section: Discussionsupporting

confidence: 68%

“…As reported in the literature, COVID-19 most commonly affects the lower zones (55%), peripheral parts (87%), and multifocal areas (55%) and the disease is generally quite extensive, with all five lobes being affected in 39% of patients. 7,22,23 All of these characteristics were more common in SARS-CoV-2 than the non-SARS-CoV-2 group of this study. Although there were no significant differences between SARS-CoV-2 and non-SARS-CoV-2 groups, the presence of an apicobasal gradient and involvement of the lower lobes may help differential diagnosis of COVID-19.…”

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confidence: 55%

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Clinical and radiological diagnosis of non–SARS‐CoV‐2 viruses in the era of COVID‐19 pandemic

Alpaydın

Gezer

Şimşek

et al. 2020

Journal of Medical Virology

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Following the announcement of the first coronavirus disease 2019 (COVID-19) case on 11 March 2020 in Turkey, we aimed to report the coinfection rates, and the clinical, laboratory, radiological distinctive features of viral pneumonia caused by viruses other than severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). A cross-sectional study was conducted between 18 and 31 March 2020. COVID-19 suspected cases admitted to pandemic policlinic, who had nasopharyngeal swab specimens tested for both SARS-CoV-2 and other respiratory viral pathogens, were included. Among 112 patients, SARS-CoV-2 was detected in 34 patients (30%). Among the non-SARS-CoV-2 viruses (n = 25, 22%), metapneumovirus (n = 10) was the most frequent agent. There were two coinfections with SARS-CoV-2. Sputum was less in the SARS-CoV-2 group (P = .003). The leukocyte, lymphocyte, and thrombocyte count and C-reactive protein levels were the lowest in the SARS-CoV-2 group (P < .001, P = .04, P < .001, P = .007, respectively). Peripheral involvement (80% vs 20%; P ≤ .001), pure ground-glass opacity (65% vs 33%; P = .04), apicobasal gradient (60% vs 40%; P = .08), involvement of greater than or equal to three lobes (80% vs 40%; odds ratio: 6.0; 95% confidence interval: 1.33-27.05; P = .02), and consolidation with accompanying ground-glass opacity (4% vs 33%; P = .031) were more common in SARS-CoV-2 group. Some clinical, laboratory, and radiological findings may help in the differential diagnosis of non-SARS-CoV-2 viruses from COVID-19. However, coinfections may occur, and a non-SARS-CoV-2 pathogen positivity does not exclude accompanying COVID-19.

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Section: Discussionsupporting

confidence: 68%

mentioning

confidence: 55%

Clinical and radiological diagnosis of non–SARS‐CoV‐2 viruses in the era of COVID‐19 pandemic

Alpaydın

Gezer

Şimşek

et al. 2020

Journal of Medical Virology

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“…Consequently, overall quality of radiologic reports, especially in terms of clarity and completeness of contents, is crucial to guarantee optimal patient care. Several studies have proposed the adoption of structured reporting of HRCT and radiographs in patients with suspected or known COVID-19 pneumonia [ 15 , [22] , [23] , [24] ]. Indeed, due to its standardized and schematic nature, embracing structured reporting could prove particularly advantageous in the setting of novel disease with high volume clinical demand.…”

Section: Discussionmentioning

confidence: 99%

Chest CT in COVID-19 patients: Structured vs conventional reporting

Stanzione

Ponsiglione

Cuocolo

et al. 2021

European Journal of Radiology

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Purpose To assess clinician satisfaction with structured (SR) and conventional (CR) radiological reports for chest CT exams in coronavirus disease 2019 (COVID-19) patients, objectively comparing both reporting strategies. Method We retrospectively included 68 CTs (61 patients) with COVID-19. CRs were collected from the digital database while corresponding SRs were written by an expert radiologist, including a sign checklist, severity score index and final impressions. New CRs were prepared for a random subset (n = 10) of cases, to allow comparisons in reporting time and word count. CRs were analyzed to record severity score and final impressions inclusion. A random subset of 40 paired CRs and SRs was evaluated by two clinicians to assess, using a Likert scale, readability, comprehensiveness, comprehensibility, conciseness, clinical impact, and overall quality. Results Overall, 19/68 (28%) and 9/68 (13%) of CRs included final impressions and severity score, respectively. SR writing required significantly ( p < 0.001) less time (mean = 308 s; SD ± 60 s) compared to CRs (mean = 458 s; SD ± 72 s). On the other hand, word count was not significantly different ( p = 0.059, median = 100 and 106, range = 106-139 and 88-131 for SRs and CRs, respectively). Both clinicians expressed significantly (all p < 0.01) higher scores for SRs compared to CRs in all categories. Conclusions Our study supports the use of chest CT SRs in COVID-19 patients to improve referring physician satisfaction, optimizing reporting time and provide a greater amount and quality of information within the report.

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“…Early during the COVID-19 pandemic when access to accurate RT-PCR testing was limited, several reporting systems were proposed for reporting CXR and CT scans of patients with suspected COVID-19 in a high disease prevalence setting. These systems provide standardized language and diagnostic categories aiming to convey the likelihood of lung abnormalities on CT representing COVID- (Table 3) (38) , COVID-RADS (Table 4) (39), and COVID-19 S (Table 5) (40). One study of the RSNA Expert Consensus Statement found excellent interobserver agreement among thoracic radiologists in a retrospective review of approximately 300 patients with suspected COVID-19 (41).…”

Section: What Reporting Systems Have Been Found Useful For Conveying mentioning

confidence: 99%

COVID-19 Imaging: What We Know Now and What Remains Unknown

et al. 2021

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Essentials • The chest CT and CXR findings of COVID-19 pneumonia and the evolution of findings over time are well described. An organizing pneumonia pattern of lung injury is most common with some patients developing a pattern of diffuse alveolar damage. Patients with few or no symptoms may have normal imaging. • Extent of CXR and CT findings correlates with a variety of clinical indicators and severity of clinical course. However, imaging alone is insufficient to determine outcome. • Classification systems of CT findings related to COVID-19 have high interobserver agreement across levels of experience. Performance will depend on the local prevalence of COVID-19, and their role greatly depends on availability of RT-PCR testing. • AI has shown promise in both diagnosis and prognosis of COVID-19. Larger datasets and prospective studies are needed to assess performance and generalizability. • Cardiovascular complications of COVID-19 include thromboembolic disease, myocarditis, and MIS-C with coronary artery aneurysms. • Abdominal complications of COVID-19 may be the consequence of cardiovascular effects or critical illness rather than direct abdominal organ infection. • Neurologic complications of COVID-19 are not well defined and likely are the result of the cardiovascular effects and not direct CNS infection.

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COVID-19 S: A new proposal for diagnosis and structured reporting of COVID-19 on computed tomography imaging

Cited by 31 publications

References 20 publications

Clinical and radiological diagnosis of non–SARS‐CoV‐2 viruses in the era of COVID‐19 pandemic

Clinical and radiological diagnosis of non–SARS‐CoV‐2 viruses in the era of COVID‐19 pandemic

Chest CT in COVID-19 patients: Structured vs conventional reporting

COVID-19 Imaging: What We Know Now and What Remains Unknown

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