Radiologic diagnosis of patients with COVID-19

Chamorro, E. Martínez; Tascón, Áurea Díez; Sanz, L. Ibáñez; Vélez, Silvia Ossaba; Nacenta, S. Borruel

doi:10.1016/j.rxeng.2020.11.001

Cited by 86 publications

(68 citation statements)

References 76 publications

(121 reference statements)

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“…Having said that, we stress that our patient showed an indeterminate or atypical appearance of radiological signs for COVID-19 pneumonia in both X-ray and CT studies, conforming to the medical literature [ 14 , 16 - 18 ]⁠. It is worth noting a recent paper discussing atypical radiological findings that make it necessary to widen the spectrum of alternative diagnoses [ 19 ]⁠.…”

Section: Discussionsupporting

confidence: 84%

“…Both X-rays and CT studies can identify pulmonary involvement or complications, and both can suggest different diagnoses. However, the most common radiological findings in infections caused by SARS-CoV-2 are ground glass opacities, typically bilateral, peripheral, and located in the lower fields [ 14 ]⁠. This finding may progress to a diffuse disease.…”

Section: Discussionmentioning

confidence: 99%

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Delayed Diagnosis of an Atypical Pneumonia Resembling a Solitary Pulmonary Nodule

García-Carretero¹,

Vázquez-Gómez²,

Rodriguez-Maya³

et al. 2021

Cureus

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Atypical pneumonia shows clinical features that are different from those of typical pneumonia, and it can mimic other entities. We report the case of a 42-year-old male with a solitary pulmonary nodule found in an X-ray for a preoperative evaluation. Our patient was asymptomatic, and a pulmonary neoplasm was the first diagnostic suspicion. The round-shaped nodule seen in the X-ray turned out to be a linear ground glass opacity in a thoracic CT scan. Viral pneumonia due to SARS-CoV-2 was diagnosed. We emphasize here the educational value of this case report. We do not report a new radiological finding because lung nodules resembling neoplasms have already been reported in the medical literature. However, some clinical features of COVID-19 are relatively new and can mimic other entities, and the results of some investigations and clinicians’ interpretations of them can be misleading. Atypical radiological findings make it necessary to widen the spectrum of alternative diagnoses.

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Section: Discussionsupporting

confidence: 84%

Section: Discussionmentioning

confidence: 99%

Delayed Diagnosis of an Atypical Pneumonia Resembling a Solitary Pulmonary Nodule

García-Carretero¹,

Vázquez-Gómez²,

Rodriguez-Maya³

et al. 2021

Cureus

View full text Add to dashboard Cite

show abstract

“…Pulmonary involvement is very common in both AAV and COVID-19. In COVID-19, peripherally and posteriorly distributed multifocal bilateral GGOs and consequent overlapping of the consolidations are considered as the dominant radiological appearance of the disease and this may be accompanied by pleural effusion and cavitation [ 24 ]. In AAV, primary pulmonary involvement due to alveolar hemorrhage resembles nonspecific interstitial pneumonia or patchy ground-glass appearance, but the involvement sometimes can be confusing.…”

Section: Discussionmentioning

confidence: 99%

ANCA-associated vasculitis after COVID-19

et al. 2021

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Antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) are systemic autoimmune diseases that may lead to renal failure due to the infiltration of mononuclear cells and the destruction of small- and medium-sized blood vessels. It has been shown that severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) may trigger the presentation or exacerbation of autoimmune diseases. Crescentic glomerulonephritis (GN) has rarely been reported in patients with Coronavirus disease-2019 (COVID-19). We present rare two cases with AAV after a recent diagnosis of COVID-19. The first case was 26-year-old male patient, who was presented with acute kidney injury after COVID-19. Serum creatinine increased and active urine sediment was seen. Serological evaluation showed anti-myeloperoxidase antibody was at a level of 80.6 U/mL. Kidney biopsy showed necrotizing GN with cellular crescents. Methylprednisolone, cyclophosphamide and plasma exchange were administered. He was discharged with hemodialysis. Second case was a 36-year-old female who was hospitalized because of fever, cough and dyspnea. After she was diagnosed with COVID-19, she had total hearing loss, with cavitary lesions on bilateral lung parenchyma and an acute kidney injury. Serological evaluation showed an elevated anti-proteinase-3 with a level of 1:32. Kidney biopsy showed necrotizing GN with cellular crescents. Renal function improved after methylprednisolone and cyclophosphamide treatment. With a systematic review of the literature, we found four cases of new-onset AAV due to COVID-19. Herein, we discuss two cases and provide a literature review on cases of new-onset pauci-immune GN after COVID-19 infection.

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“…Although the pandemic is quite recent, several contributions are available in the literature. However, even if there are some sparse works about the manual screening of such images [57][58][59][60][61], almost all of the state-of-the-art approaches relate to the use of Machine Learning (ML) [62] and Deep Learning (DL) [63,64] techniques. The ML, in fact, could become a helpful and potential powerful tool for large-scale COVID-19 screening [13,65], and the author in Reference [3] has recently hypothesized that DL techniques applied to CT scans can become the first alternative screening test to the rRT-PCR in the near future.…”

Section: Related Workmentioning

confidence: 99%

A Histogram-Based Low-Complexity Approach for the Effective Detection of COVID-19 Disease from CT and X-ray Images

et al. 2021

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The global COVID-19 pandemic certainly has posed one of the more difficult challenges for researchers in the current century. The development of an automatic diagnostic tool, able to detect the disease in its early stage, could undoubtedly offer a great advantage to the battle against the pandemic. In this regard, most of the research efforts have been focused on the application of Deep Learning (DL) techniques to chest images, including traditional chest X-rays (CXRs) and Computed Tomography (CT) scans. Although these approaches have demonstrated their effectiveness in detecting the COVID-19 disease, they are of huge computational complexity and require large datasets for training. In addition, there may not exist a large amount of COVID-19 CXRs and CT scans available to researchers. To this end, in this paper, we propose an approach based on the evaluation of the histogram from a common class of images that is considered as the target. A suitable inter-histogram distance measures how this target histogram is far from the histogram evaluated on a test image: if this distance is greater than a threshold, the test image is labeled as anomaly, i.e., the scan belongs to a patient affected by COVID-19 disease. Extensive experimental results and comparisons with some benchmark state-of-the-art methods support the effectiveness of the developed approach, as well as demonstrate that, at least when the images of the considered datasets are homogeneous enough (i.e., a few outliers are present), it is not really needed to resort to complex-to-implement DL techniques, in order to attain an effective detection of the COVID-19 disease. Despite the simplicity of the proposed approach, all the considered metrics (i.e., accuracy, precision, recall, and F-measure) attain a value of 1.0 under the selected datasets, a result comparable to the corresponding state-of-the-art DNN approaches, but with a remarkable computational simplicity.

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Radiologic diagnosis of patients with COVID-19

Cited by 86 publications

References 76 publications

Delayed Diagnosis of an Atypical Pneumonia Resembling a Solitary Pulmonary Nodule

Delayed Diagnosis of an Atypical Pneumonia Resembling a Solitary Pulmonary Nodule

ANCA-associated vasculitis after COVID-19

A Histogram-Based Low-Complexity Approach for the Effective Detection of COVID-19 Disease from CT and X-ray Images

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