Multidetector computed tomography (MDCT) angiography in the evaluation of external carotid artery.

BACKGROUND: Knowledge about anatomical variants of the external carotid artery is crucial in head and neck surgery and interventional technique. This work aimed to present the frequency of regular and another variant of the external carotid artery using 128 multidetector computed tomography (MDCT) angiography. MATERIALS AND METHODS: This retrospective study included 120 patients in our university hospital between April 2017 and October 2021. They were 65 men and 55 women (mean age, 45.6 years; range, 18-65 years). They were angiofibroma (10 patients), cerebral stroke (28 patients), partial glossectomy (13 patients), submandibular gland excision (12 patients), parotidectomy (17 patients), mandibulectomy (5 patients), and a thyroidectomy (35 patients). We retrospectively analyzed the level and branches of external carotid arteries on both sides of 120 patients. RESULTS: According to the level of bifurcation; the external carotid artery originated at the level of the upper border of the thyroid cartilage in 164/240 cases (68.3%), and a higher level was detected in 76/ 240 cases (31.7%). The lower level of origin of the external carotid artery was not detected. The superior thyroid, facial, and lingual arteries originated from separate branches of external carotid arteries in 173/240 cases (72.1%). At the same time, the facial arteries originated with lingual arteries in a common trunk in 67/240 cases (27.9%). CONCLUSION: MDCT angiography is a valuable noninvasive diagnostic tool for evaluating the external carotid artery and its branches.

Chest multidetector computed tomography imaging of COVID-19 pneumonia patients with hematologic malignancies.

Background: Data on the association between coronavirus disease 2019 (COVID-19) and the epidemiology and outcomes of hematological malignancies are limited. Hence, the present study aimed to assess the imaging findings using chest multidetector computed tomography (MDCT) in patients with hematologic malignancies who developed COVID-19 pneumonia. Methods: This retrospective study included two groups, the first group consisted of COVID-19 infected patients with hematologic malignancies (100 patients), while the second group consisted of COVID-19 infected patients without hematologic malignancies or other comorbidities (100 patients). The hematological malignancies included in this study were non-Hodgkin's lymphoma (40 patients), acute myeloid leukemia (25 patients), chronic lymphocytic leukemia (15 patients), multiple myeloma (10 patients), Hodgkin's lymphoma (8 patients), and myelodysplastic syndrome (2 patients). Chest multidetector CT imaging was performed in all patients to assess for ground-glass opacity, consolidation, pleural effusion, and airway abnormalities. Results: More than one CT finding was reported in each patient. No significant difference was observed in the ground-glass opacities (P=0.0594), nodule formation (P=0.2278), or airway thickening/dilatation (P=0.0566) between the two groups; meanwhile, a significant difference was observed in the degree of consolidation, the number of lobes affected, and pleural effusion (P=0.0001) as well as in the total lung severity (P=0.0001); minimal, mild, and severe affection rates; and (P=0.0047) moderate affection rates. Conclusion: Early and reliable diagnosis of lung disease in COVID-19-infected patients may be achieved through multidetector CT imaging. Patients with hematological malignancies are more likely to have severe COVID-19 pneumonia, and radiologists should recognize the CT characteristics of this infection.