Abstract
Objective: SARS-CoV-2 is a worldwide health emergency with unrecognized clinical features. This paper aims to review the most recent medical imaging techniques used for the diagnosis of SARS-CoV-2 and their potential contributions to attenuate the pandemic. Recent researches, including artificial intelligence tools, will be described.
Methods: We review the main clinical features of SARS-CoV-2 revealed by different medical imaging techniques. First, we present the clinical findings of each technique. Then, we describe several artificial intelligence approaches introduced for the SARS-CoV-2 diagnosis.
Results: CT is the most accurate diagnostic modality of SARS-CoV-2. Additionally, ground-glass opacities and consolidation are the most common signs of SARS-CoV-2 in CT images. However, other findings such as reticular pattern, and crazy paving could be observed. We also found that pleural effusion and pneumothorax features are less common in SARS-CoV-2. According to the literature, the B lines artifacts and pleural line irregularities are the common signs of SARS-CoV-2 in ultrasound images. We have also stated the different studies, focusing on artificial intelligence tools, to evaluate the SARS-CoV-2 severity. We found that most of the reported works based on deep learning focused on the detection of SARS-CoV-2 from medical images while the challenge for the radiologists is how to differentiate between SARS-CoV-2 and other viral infections with the same clinical features.
Conclusion: The identification of SARS-CoV-2 manifestations on medical images is a key step in radiological workflow for the diagnosis of the virus and could be useful for researchers working on computer-aided diagnosis of pulmonary infections.
Keywords: Artificial intelligence; Chest CT; Clinical findings; Medical imaging techniques; SARS-CoV-2.
【저자키워드】 SARS-CoV-2, artificial intelligence, Chest CT, Clinical findings, Medical imaging techniques, 【초록키워드】 SARS-CoV-2, viral infection, pandemic, deep learning, severity, artificial intelligence, diagnostic, Diagnosis, pulmonary infections, virus, viral infections, Clinical features, ground-glass opacity, Ground-glass opacities, Chest CT, Clinical findings, artificial, clinical, Medical imaging, Pneumothorax, consolidation, clinical feature, manifestation, pleural effusion, Clinical finding, health emergency, Radiologists, radiologist, researcher, approach, recent, feature, radiological, described, evaluate, reported, less, introduced, attenuate, diagnosis of SARS-CoV-2, the SARS-CoV-2, 【제목키워드】 SARS-CoV-2, Diagnosis,