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Objective To quantitatively evaluate computed tomography (CT) parameters of coronavirus disease 2019 (COVID-19) pneumonia an artificial intelligence (AI)-based software in different clinical severity groups during the disease course. Methods From March 11 to April 15, 2020, 51 patients (age, 18-84 years; 28 men) diagnosed and hospitalized with COVID-19 pneumonia with a total of 116 CT scans were enrolled in the study. Patients were divided into mild (n = 12), moderate (n = 31), and severe (n = 8) groups based on clinical severity. An AI-based quantitative CT analysis, including lung volume, opacity score, opacity volume, percentage of opacity, and mean lung density, was performed in initial and follow-up CTs obtained at different time points. Receiver operating characteristic analysis was performed to find the diagnostic ability of quantitative CT parameters for discriminating severe from nonsevere pneumonia. Results In baseline assessment, the severe group had significantly higher opacity score, opacity volume, higher percentage of opacity, and higher mean lung density than the moderate group (all P ≤ 0.001). Through consecutive time points, the severe group had a significant decrease in lung volume (P = 0.006), a significant increase in total opacity score (P = 0.003), and percentage of opacity (P = 0.007). A significant increase in total opacity score was also observed for the mild group (P = 0.011). Residual opacities were observed in all groups. The involvement of more than 4 lobes (sensitivity, 100%; specificity, 65.26%), total opacity score greater than 4 (sensitivity, 100%; specificity, 64.21), total opacity volume greater than 337.4 mL (sensitivity, 80.95%; specificity, 84.21%), percentage of opacity greater than 11% (sensitivity, 80.95%; specificity, 88.42%), total high opacity volume greater than 10.5 mL (sensitivity, 95.24%; specificity, 66.32%), percentage of high opacity greater than 0.8% (sensitivity, 85.71%; specificity, 80.00%) and mean lung density HU greater than -705 HU (sensitivity, 57.14%; specificity, 90.53%) were related to severe pneumonia. Conclusions An AI-based quantitative CT analysis is an objective tool in demonstrating disease severity and can also assist the clinician in follow-up by providing information about the disease course and prognosis according to different clinical severity groups.

PURPOSE: The aim of this study was to evaluate visual and software-based quantitative assessment of parenchymal changes and normal lung parenchyma in patients with coronavirus disease 2019 (COVID-19) pneumonia. The secondary aim of the study was to compare the radiologic findings with clinical and laboratory data. METHODS: Patients with COVID-19 who underwent chest computed tomography (CT) between March 11, 2020 and April 15, 2020 were retrospectively evaluated. Clinical and laboratory findings of patients with abnormal findings on chest CT and PCR-evidence of COVID-19 infection were recorded. Visual quantitative assessment score (VQAS) was performed according to the extent of lung opacities. Software-based quantitative assessment of the normal lung parenchyma percentage (SQNLP) was automatically quantified by a deep learning software. The presence of consolidation and crazy paving pattern (CPP) was also recorded. Statistical analyses were performed to evaluate the correlation between quantitative radiologic assessments, and clinical and laboratory findings, as well as to determine the predictive utility of radiologic findings for estimating severe pneumonia and admission to intensive care unit (ICU). RESULTS: A total of 90 patients were enrolled. Both VQAS and SQNLP were significantly correlated with multiple clinical parameters. While VQAS >8.5 (sensitivity, 84.2%; specificity, 80.3%) and SQNLP 9.5 (sensitivity, 93.3%; specificity, 86.5%) and SQNLP

Congenital lung diseases in adults are rare diseases that can present with symptoms or be detected incidentally. Familiarity with the imaging features of different types of congenital lung diseases helps both in correct diagnosis and management of these diseases. Congenital lung diseases in adults are classified into three main categories as bronchopulmonary anomalies, vascular anomalies, and combined bronchopulmonary and vascular anomalies. Contrast-enhanced computed tomography, especially 3D reconstructions, CT, or MR angiography, can show vascular anomalies in detail. The tracheobronchial tree, parenchymal changes, and possible complications can also be defined on chest CT, and new applications such as quantitative 3D reconstruction CT images, dual-energy CT (DECT) can be helpful in imaging parenchymal changes. In addition to the morphological assessment of the lungs, novel MRI techniques such as ultra-short echo time (UTE), arterial spin labeling (ASL), and phase-resolved functional lung (PREFUL) can provide functional information. This pictorial review aims to comprehensively define the radiological characteristics of each congenital lung disease in adults and to highlight differential diagnoses and possible complications of these diseases.

The pericardium could be involved in a variety of clinical disorders. The imaging findings are not specific for an individual pathology in most of the cases; however, patient’s clinical history may guide radiologist to a definitive diagnosis. Congenital absence of the pericardium could be recognized with the imaging appearance of interposed lung tissue between the main pulmonary artery and aorta. Pericardial effusion is a non-specific condition that may occur due to inflammatory, infectious, and neoplastic disorders. Cardiac tamponade may occur in case of massive or rapid accumulation of fluid in the pericardial sac. Pericardial calcification is a common and easily identified entity on a computed tomography (CT) scan. Presence of calcification and/or fibrosis may result in pericardial constriction. Nevertheless, the pulsation of an adjacent coronary artery may prevent calcification formation in a focal area and consequently may result in pericardial diverticulum containing epicardial fat and coronary artery. The imaging findings encountered in patients with pericardial hydatid disease and Erdheim-Chester disease may mimic those of pericardial neoplasia. Pericardial adhesions and pedicled fat flaps may cause confusion on a CT scan in the post-surgical period following cardiac surgery. Pericardial fat necrosis can be diagnosed by CT in patients with chest pain. The radiologists should be familiar with the medical devices placed in pericardial space for certain individual indications. A pericardial patch and temporary epicardial pacemaker wires could be identified on a CT scan.

Interpretation differences between radiologists and diagnostic errors are significant issues in daily radiology practice. An awareness of errors and their underlying causes can potentially increase the diagnostic performance and reduce individual harm. The aim of this paper is to review both the classification of errors and the underlying biases. Case-based examples are presented and discussed for each type of error and bias to provide greater clarity and understanding.

Hydatid cyst caused by the larval form of Echinococcus is a worldwide zoonosis. The lungs and liver are the most common sites involved. While the lung parenchyma is the most common site within the thorax, it may develop in any extrapulmonary region including the pleural cavity, fissures, mediastinum, heart, vascular structures, chest wall, and diaphragm. Imaging plays a pivotal role not only in the diagnosis of hydatid cyst, but also in the visualization of the extent of involvement and complications. The aim of this pictorial review was to comprehensively describe the imaging findings of thoracic hydatid cyst including pulmonary and very unusual extrapulmonary involvements. An outline is also given for the findings of complications and differential diagnosis of thoracic hydatid cyst.

The COVID-19 pandemic raises many alarms in the rheumatological era. Gianfrancesco et al reported the answer of an important question: the characteristics associated with hospitalization for COVID-19 in people with rheumatic disease.1 The data suggested that patients with rheumatic disease on prednisone dose of ≥10 mg/day were associated with higher odds of hospitalization, and vasculitis was the fourth common rheumatic disease among all of these patients. Another essential concept is to be careful in the differential diagnosis of the patients presenting with symptoms and signs of COVID-19. Physicians should keep in mind the other infectious and inflammatory diseases during diagnostic procedures of these critical patients. Inevitably, COVID-19 ranks first in differential diagnosis of all patients with respiratory symptoms and signs in current pandemic days. The standard of reference for confirming COVID-19 relies on microbiological tests, such as real-time reverse transcription polymerase chain reaction (RT-PCR).2 A systematic review of the accuracy of COVID-19 tests reported false-negative rates up to 29% (equating to a sensitivity of 71–98%), based on negative RT-PCR tests which could turn out positive on repeated testing.3 Chest CT can be used as an auxiliary to RT-PCR for diagnosing COVID-19 pneumonia in the current pandemic context.4 The main CT feature of COVID-19 pneumonia is the bilateral patchy ground-glass opacities (GGOs) with peripheral predominance.5 On the other hand, GGO has many causes and one of these is eosinophilic granulomatosis with polyangiitis (EGPA). Herein, we presented two patients who have been hospitalized with preliminary diagnosis of COVID-19 but diagnosed as EGPA in hospitalisation period for COVID-19. A male patient in his 20s was admitted to the emergency department with complaints of shortness of breath, cough and sputum. In the medical history of the patient, he had asthma for 3 years but he did not receive any asthma …

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has rapidly spread worldwide since December 2019. Although the reference diagnostic test is a real-time reverse transcription-polymerase chain reaction (RT-PCR), chest-computed tomography (CT) has been frequently used in diagnosis because of the low sensitivity rates of RT-PCR. CT findings of COVID-19 are well described in the literature and include predominantly peripheral, bilateral ground-glass opacities (GGOs), combination of GGOs with consolidations, and/or septal thickening creating a “crazy-paving” pattern. Longitudinal changes of typical CT findings and less reported findings (air bronchograms, CT halo sign, and reverse halo sign) may mimic a wide range of lung pathologies radiologically. Moreover, accompanying and underlying lung abnormalities may interfere with the CT findings of COVID-19 pneumonia. The diseases that COVID-19 pneumonia may mimic can be broadly classified as infectious or non-infectious diseases (pulmonary edema, hemorrhage, neoplasms, organizing pneumonia, pulmonary alveolar proteinosis, sarcoidosis, pulmonary infarction, interstitial lung diseases, and aspiration pneumonia). We summarize the imaging findings of COVID-19 and the aforementioned lung pathologies that COVID-19 pneumonia may mimic. We also discuss the features that may aid in the differential diagnosis, as the disease continues to spread and will be one of our main differential diagnoses some time more.

Objectives: There is increasing evidence of thrombotic events occurring in patients with coronavirus disease (COVID-19). We evaluated dual-energy computed tomography (DECT) findings, particularly lung and kidney perfusion, in non-intubated COVID-19 patients. Methods: Thirty-one COVID-19 patients who underwent pulmonary DECT angiography between March 15 and April 30, 2020, and were suspected of having pulmonary thromboembolism were included. Pulmonary and kidney images were reviewed. Qualitative and quantitative analyses of the perfused blood volume and iodine maps were performed. Results: DECT images showed perfusion deficits (PDs) in eight patients (25.8%), which were not overlapping with areas of ground-glass opacity or consolidation. Two patients had pulmonary thromboembolism confirmed by CT angiography. Five of 10 patients who had been infected for more than 5 days had PDs documented. Patients with PDs had a longer hospital stay (12.25 ± 8.81 vs 6.83 ± 5.04 days, p= 0.14), higher intensive care unit admission rates (37.5% vs 4.3%, p=0.02), higher CT scores (13.3 ± 8.2 vs 5 ± 5.4, p= 0.02) and more severe disease (50% vs 4.3%, p=0.01). In the PD group, serum ferritin, aspartate aminotransferase (AST), fibrinogen, D-dimer, C-reactive protein (CRP), and troponin levels were significantly higher, whereas albumin level was lower (pConclusions: Pulmonary perfusion abnormalities in COVID 19 patients is associated with more severe disease and in most of the patients can occur without macroscopic pulmonary thromboembolism. High rate of kidney perfusion abnormalities suggests subclinical systemic microvascular obstruction.

Objectives There is increasing evidence that thrombotic events occur in patients with coronavirus disease (COVID-19). We evaluated lung and kidney perfusion abnormalities in patients with COVID-19 by dual-energy computed tomography (DECT) and investigated the role of perfusion abnormalities on disease severity as a sign of microvascular obstruction. Methods Thirty-one patients with COVID-19 who underwent pulmonary DECT angiography and were suspected of having pulmonary thromboembolism were included. Pulmonary and kidney images were reviewed. Patient characteristics and laboratory findings were compared between those with and without lung perfusion deficits (PDs). Results DECT images showed PDs in eight patients (25.8%), which were not overlapping with areas of ground-glass opacity or consolidation. Among these patients, two had pulmonary thromboembolism confirmed by CT angiography. Patients with PDs had a longer hospital stay (p = 0.14), higher intensive care unit admission rates (p = 0.02), and more severe disease (p = 0.01). In the PD group, serum ferritin, aspartate aminotransferase, fibrinogen, D-dimer, C-reactive protein, and troponin levels were significantly higher, whereas albumin level was lower (p

Previous studies have shown a correlation between axial pulmonary trunk diameter (PTD) on chest computed tomography (CT) and pulmonary artery pressure. However, it is not known whether the PTD slices measured on chest CT have been recorded during the systolic or diastolic phase. The aim of this study was to demonstrate the variations in PTD during the cardiac cycle by measuring coronary CT angiography (CCTA) images. A retrospective analysis was made of 101 patients who underwent CCTA for coronary artery disease assessment. CCTA images were reconstructed during a full cardiac cycle and measurements were taken of the systolic and diastolic PTD and ascending aorta diameter (AAD) from the same slice by two independent observers. Inter-observer agreement was excellent (intraclass correlation coefficient = 0.99) for all CT measurements. The mean systolic PTD of all patients was 26.3 ± 3.6 mm and the mean diastolic PTD was 22.8 ± 3.2 mm (p

A 53-year-old woman was admitted to the emergency department with sudden onset of massive hemoptysis. She had previous history of dyspnea and cough for two months. She had no history of chronic disease, smoking, or use of anticoagulant and antiplatelet drugs. On arrival, she was tachycardic and tachypneic, but her body temperature was normal. Chest X-ray showed enlarged right hilus and multiple nodular opacities predominantly in the left lung basis. Computed tomography (CT) scan of the chest demonstrated massive intraluminal filling defect extending from the right pulmonary artery through the main and left pulmonary arteries. Pulmonary artery sarcoma (PAS) was the preliminary imaging-based diagnosis. However, CT also revealed presence of several pseudoaneurysms arising from the distal branches of the left pulmonary artery encased by metastatic nodules. Although hemoptysis is an uncommon presentation for patients with PAS, accompanied pseudoaneurysms were the main reason for massive hemoptysis. Differentiation of PAS from bland thromboembolism could be challenging on CT. Herein reported case provides an additional imaging feature that may utilize differentiating pulmonary artery sarcoma from bland thrombus.

Sternal ossification starts in utero, and continues throughout puberty in various patterns. In this study, our objective was to evaluate the correlation of ossification with age and to determine whether age can be predicted. Individuals younger than 30 years old without congenital anomalies, chronic disease, and history of long-term chemotherapy who had chest CT imaging with a slice thickness

Intrathoracic ribs are very rare congenital anomalies. Approximately 50 cases have been reported in the literature till date. They are usually present on the right side, between the third and eighth ribs without sex predominance. They may originate from a vertebral body or the proximal or distal part of a rib. In most cases, they are asymptomatic, but they may be associated with developmental abnormalities of ribs and vertebrae. The diagnosis is important to prevent further investigation or intervention. Here we present two rare cases with supernumerary intrathoracic rib and describe a novel sign, namely expansion of the rib head. To the best of our knowledge, this is the shortest supernumerary intrathoracic rib, reported in the literature, on the left side originating from the head of the second rib, which could have been misdiagnosed as osteochondroma due to its atypical features., NA

Empty azygos fissure implies dislocation of the azygos vein to the mediastinal side of the right upper lobe from azygos fissure, which is usually secondary to pneumothorax, pleural effusion, parenchymal fibrosis, vertebral collapse or persistent vomiting. We are presenting here a case where a separated azygos vein in CT and radiography images was noted. Moreover, in the follow-up images, it appeared that the complete reexpansion of the right lung resulted in reentrance of the azygos vein into azygos fissure in its native position., NA

Left brachiocephalic vein (LBCV), one of the major veins draining upper extremity, head and neck region, has rare anatomic variations. Circumaortic type, an extremely uncommon variation, is presented here; this was incidentally detected on computed tomography images. In this case, circumaortic LBCV had two branches; one was normally placed brachiocephalic vein anterior to the aortic arch, and the other one was the anomalous branch with a retroaortic course.

OBJECTIVE. The purpose of this article is to emphasize the imaging findings encountered in the setting of nonthrombotic pulmonary embolism. CONCLUSION. Nonthrombotic pulmonary embolism refers to a spectrum of clinical and radiologic disorders caused by embolization of the pulmonary artery vasculature by various cell types, microorganism, and foreign bodies. Awareness of the imaging and clinical features of the nonthrombotic pulmonary embolism may facilitate prompt diagnosis.

Birt-Hogg-Dubé syndrome is characterized by clinical manifestations such as hamartomas of the skin, renal tumors and lung cysts with spontaneous pneumothoraces. Patients with Birt-Hogg-Dubé syndrome may present with only multiple lung cysts. We report the chest computerized tomography (CT) features of three patients with Birt- Hogg-Dubé syndrome. Each patient had multiple lung cysts of various sizes according to chest CT evaluation, most of which were located in lower lobes and related to pleura. The identification of unique characteristics in the chest CT of patients with Birt-Hogg-Dubé syndrome may provide an efficient mechanism for diagnosis. © 2014 by the Atatürk University School of Medicine.

We read with interest the article entitled “Volumetric thin-section CT: evaluation of pulmonary interlobar fissures” by Guan et al. (1) in the November-December 2015 issue of Diagnostic and Interventional Radiology. The authors gave detailed information about interlobar fissures, their incompleteness, relationship to vascular structures, CT appearance, and defect location. The interlobar fissures and their variations are important for identifying pulmonary lesion locations, evaluating disease progression, and selecting appropriate surgical or interventional approaches. Therefore, it is important to know any detail about fissural anatomy and its variations. All horizontal (minor) interlobar fissures have been described as having one dome in the literature (2, 3). We would like to contribute by noting that they may also have a double dome. During the last five-year period, out of approximately 35 000 thorax CT scans, we came across five patients with double-domed horizontal fissure (Figs. 1, ​,2).2). Those patients did not have any abnormality that might change fissural anatomy like atelectasis or fibrosis. Although double-domed horizontal fissure is a very rare entity, it is important to keep it in mind to avoid misinterpretation. Figure 1 A 35-year-old male patient. Axial CT image, 1 mm slice thickness, shows double-domed horizontal fissure (empty arrows, anterior dome; solid arrows, posterior dome; curved arrows, oblique fissure). Figure 2. a, b A 74-year-old male patient. Axial CT image 1 mm slice thickness (a) and sagittal oblique 2 mm reformatted CT image (b) show double-domed horizontal fissure (empty arrows, anterior dome; solid arrows, posterior dome; curved arrows, oblique fissure).

We evaluate the use of multidetector row computed tomography (MDCT) angiography for the depiction of bronchial and non-bronchial systemic arteries (NBSAs), which frequently become enlarged as a secondary finding in a wide array of chronic lung diseases and other diseases that affect the pulmonary vascular system. MDCT angiography has enabled radiologists to provide thin-slice axial images, multi-planar reconstructions, interactive maximum intensity projections, and volume-rendered images to evaluate the origin and course of the abnormal bronchial arteries and enlarged NBSAs that may be the cause of hemoptysis. Embolization of the bronchial arteries is the primary treatment option in patients with massive hemoptysis. Precise localization of the bleeding vessel(s) prior to catheter arteriography not only is the most important factor for prompt and successful embolization but also prevents the recurrence of hemoptysis from missed NBSAs during procedures.