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1.
BMJ Case Rep ; 14(7)2021 Jul 26.
Article in English | MEDLINE | ID: covidwho-1388481

ABSTRACT

Unilateral pleural effusions are uncommonly reported in patients with SARS-CoV-2 pneumonitis. Herein, we report a case of a 42-year-old woman who presented to hospital with worsening dyspnoea on a background of a 2-week history of typical SARS-CoV-2 symptoms. On admission to the emergency department, the patient was severely hypoxic and hypotensive. A chest radiograph demonstrated a large left-sided pleural effusion with associated contralateral mediastinal shift (tension hydrothorax) and typical SARS-CoV-2 changes within the right lung. She was treated with thoracocentesis in which 2 L of serosanguinous, lymphocyte-rich fluid was drained from the left lung pleura. Following incubation, the pleural aspirate sample tested positive for Mycobacterium tuberculosis This case demonstrates the need to exclude non-SARS-CoV-2-related causes of pleural effusions, particularly when patients present in an atypical manner, that is, with tension hydrothorax. Given the non-specific symptomatology of SARS-CoV-2 pneumonitis, this case illustrates the importance of excluding other causes of respiratory distress.


Subject(s)
COVID-19 , Hydrothorax , Mycobacterium tuberculosis , Pleural Effusion , Pneumonia , Adult , Female , Humans , Hydrothorax/diagnostic imaging , Hydrothorax/etiology , Pleura/diagnostic imaging , Pleural Effusion/diagnostic imaging , Pleural Effusion/etiology , SARS-CoV-2
2.
Med Intensiva (Engl Ed) ; 44(9): 551-565, 2020 Dec.
Article in Spanish | MEDLINE | ID: covidwho-1243085

ABSTRACT

The clinical picture of SARS-CoV-2 infection (COVID-19) is characterized in its more severe form, by an acute respiratory failure which can worsen to pneumonia and acute respiratory distress syndrome (ARDS) and get complicated with thrombotic events and heart dysfunction. Therefore, admission to the Intensive Care Unit (ICU) is common. Ultrasound, which has become an everyday tool in the ICU, can be very useful during COVID-19 pandemic, since it provides the clinician with information which can be interpreted and integrated within a global assessment during the physical examination. A description of some of the potential applications of ultrasound is depicted in this document, in order to supply the physicians taking care of these patients with an adapted guide to the intensive care setting. Some of its applications since ICU admission include verification of the correct position of the endotracheal tube, contribution to safe cannulation of lines, and identification of complications and thrombotic events. Furthermore, pleural and lung ultrasound can be an alternative diagnostic test to assess the degree of involvement of the lung parenchyma by means of the evaluation of specific ultrasound patterns, identification of pleural effusions and barotrauma. Echocardiography provides information of heart involvement, detects cor pulmonale and shock states.


Subject(s)
COVID-19/diagnostic imaging , SARS-CoV-2 , Ultrasonography, Interventional/methods , Blood Vessels/diagnostic imaging , COVID-19/complications , Critical Care , Critical Illness , Echocardiography , Heart Diseases/diagnostic imaging , Heart Diseases/etiology , Heart Ventricles/diagnostic imaging , Humans , Hypertension, Pulmonary/diagnostic imaging , Intensive Care Units , Intubation, Intratracheal/methods , Lung/diagnostic imaging , Organ Size , Pleura/diagnostic imaging , Pleural Effusion/diagnostic imaging , Pneumothorax/diagnostic imaging , Pulmonary Heart Disease/diagnostic imaging , Respiratory Insufficiency/etiology , Respiratory Insufficiency/therapy , Shock/diagnostic imaging , Transducers
3.
Am J Med Sci ; 361(4): 427-435, 2021 04.
Article in English | MEDLINE | ID: covidwho-1014310

ABSTRACT

The subpleural sparing pattern is a common finding on computed tomography (CT) of the lungs. It comprises of pulmonary opacities sparing the lung peripheries, typically 1cm and less from the pleural surface. This finding has a variety of causes, including idiopathic, inflammatory, infectious, inhalational, cardiac, traumatic, and bleeding disorders. Specific disorders that can cause subpleural sparing patterns include nonspecific interstitial pneumonia (NSIP), organizing pneumonia (OP), pulmonary alveolar proteinosis (PAP), diffuse alveolar hemorrhage (DAH), vaping-associated lung injury (VALI), cracked lung, pulmonary edema, pneumocystis jirovecii pneumonia (PJP), pulmonary contusion, and more recently, Coronavirus disease 2019 (COVID-19) pneumonia. Knowledge of the many etiologies of this pattern can be useful in preventing diagnostic errors. In addition, although the etiology of subpleural sparing pattern is frequently indistinguishable during an initial radiologic evaluation, the differences in location of opacities in the lungs, as well as the presence of additional radiologic findings, patient history, and clinical presentation, can often be useful to suggest the appropriate diagnosis. We did a comprehensive search on Pubmed and Google Scholar database using keywords of "subpleural sparing," "peripheral sparing," "sparing of peripheries," "CT chest," "chest imaging," and "pulmonary disease." This review aims to describe the primary differential diagnosis of subpleural sparing pattern seen on chest imaging with a strong emphasis on clinical and radiographic findings. We also discuss the pathogenesis and essential clues that are crucial to narrow the differential diagnosis.


Subject(s)
Pleura/diagnostic imaging , Radiography, Thoracic/methods , Tomography, X-Ray Computed/methods , Diagnosis, Differential , Humans , Lung Diseases/classification , Lung Diseases/diagnosis , Lung Diseases/diagnostic imaging
4.
IEEE Trans Ultrason Ferroelectr Freq Control ; 67(11): 2207-2217, 2020 11.
Article in English | MEDLINE | ID: covidwho-978667

ABSTRACT

Recent works highlighted the significant potential of lung ultrasound (LUS) imaging in the management of subjects affected by COVID-19. In general, the development of objective, fast, and accurate automatic methods for LUS data evaluation is still at an early stage. This is particularly true for COVID-19 diagnostic. In this article, we propose an automatic and unsupervised method for the detection and localization of the pleural line in LUS data based on the hidden Markov model and Viterbi Algorithm. The pleural line localization step is followed by a supervised classification procedure based on the support vector machine (SVM). The classifier evaluates the healthiness level of a patient and, if present, the severity of the pathology, i.e., the score value for each image of a given LUS acquisition. The experiments performed on a variety of LUS data acquired in Italian hospitals with both linear and convex probes highlight the effectiveness of the proposed method. The average overall accuracy in detecting the pleura is 84% and 94% for convex and linear probes, respectively. The accuracy of the SVM classification in correctly evaluating the severity of COVID-19 related pleural line alterations is about 88% and 94% for convex and linear probes, respectively. The results as well as the visualization of the detected pleural line and the predicted score chart, provide a significant support to medical staff for further evaluating the patient condition.


Subject(s)
Coronavirus Infections/diagnostic imaging , Image Interpretation, Computer-Assisted/methods , Lung/diagnostic imaging , Pleura/diagnostic imaging , Pneumonia, Viral/diagnostic imaging , Ultrasonography/methods , Algorithms , COVID-19 , Humans , Pandemics , Signal Processing, Computer-Assisted , Support Vector Machine
5.
IEEE Trans Ultrason Ferroelectr Freq Control ; 67(11): 2218-2229, 2020 11.
Article in English | MEDLINE | ID: covidwho-889664

ABSTRACT

In this article, we present a novel method for line artifacts quantification in lung ultrasound (LUS) images of COVID-19 patients. We formulate this as a nonconvex regularization problem involving a sparsity-enforcing, Cauchy-based penalty function, and the inverse Radon transform. We employ a simple local maxima detection technique in the Radon transform domain, associated with known clinical definitions of line artifacts. Despite being nonconvex, the proposed technique is guaranteed to convergence through our proposed Cauchy proximal splitting (CPS) method, and accurately identifies both horizontal and vertical line artifacts in LUS images. To reduce the number of false and missed detection, our method includes a two-stage validation mechanism, which is performed in both Radon and image domains. We evaluate the performance of the proposed method in comparison to the current state-of-the-art B-line identification method, and show a considerable performance gain with 87% correctly detected B-lines in LUS images of nine COVID-19 patients.


Subject(s)
Coronavirus Infections/diagnostic imaging , Image Interpretation, Computer-Assisted/methods , Lung/diagnostic imaging , Pneumonia, Viral/diagnostic imaging , Ultrasonography/methods , Aged , Algorithms , Artifacts , Betacoronavirus , COVID-19 , Female , Humans , Male , Middle Aged , Pandemics , Pleura/diagnostic imaging , ROC Curve , SARS-CoV-2
6.
Int J Med Sci ; 17(13): 1909-1915, 2020.
Article in English | MEDLINE | ID: covidwho-707520

ABSTRACT

Objective: To retrospectively compare the clinical features and chest computed tomography (CT) characteristics of coronavirus disease 2019 (COVID-19) and pneumonia in lymphoma patients. Materials and Methods: Ten lymphoma patients with pneumonia and 12 patients with COVID-19 infections were enrolled from January 15 to March 14, 2020. The clinical features were recorded. All pulmonary lesions on chest CT were assessed for location, shape, density and diffusion degree. Other typical CT features were also evaluated. Results: The most commonly observed patchy lesions were ground-glass opacities (GGOs) and mixed GGOs in both groups. Regarding the diffusion degree, 82% (92/112) of the lesions in the COVID-19 group were relatively limited, while 69% (52/75) of those in the lymphoma group were diffuse (p < 0.001). The proportions of interlobular septal thickening, vascular thickening, pleural involvement and fibrous stripes observed in the lymphoma cases were statistically compatible with those observed in the COVID-19 cases (p > 0.05). Air bronchograms were observed more frequently in COVID-19 patients (45%, 50/112) than in lymphoma patients with pneumonia (5%, 4/75) (p < 0.001). Halo sign (6%) and reversed halo sign (1%) were observed in several COVID-19 patients but not in lymphoma-associated pneumonia patients. Conclusion: Both lymphoma-associated pneumonia and COVID-19 generally manifested as patchy GGOs and mixed GGOs in more than one lobe. Compared to COVID-19, lymphoma-associated pneumonia tended to be relatively diffuse, with fewer air bronchograms, and no halo or reversed halo signs observed on chest CT.


Subject(s)
Coronavirus Infections/diagnostic imaging , Pneumonia, Viral/diagnostic imaging , Pneumonia/diagnostic imaging , Adult , Aged , COVID-19 , Female , Humans , Lung/diagnostic imaging , Lung/pathology , Lung/virology , Lymphoma/complications , Male , Middle Aged , Pandemics , Pleura/diagnostic imaging , Pneumonia/etiology , Retrospective Studies , Tomography, X-Ray Computed
7.
Infez Med ; 28(suppl 1): 104-110, 2020 Jun 01.
Article in English | MEDLINE | ID: covidwho-596660

ABSTRACT

PURPOSE: The aim of this study was to report the radiological features of chest CT scan of patients with coronavirus disease 2019 (COVID-19) living in a town in Southern Italy where a significant outbreak of the disease occurred. METHODS: We revised the CT scan of 62 patients (34 male, 28 female, mean age 71 +/- 14 years) with clinical and laboratory signs of COVID-19, as assessed by positive SARS-CoV-2 RT-PCR testing. All patients underwent chest CT at the time of admission to the hospital. A semi-quantitative scoring system was used to evaluate the extension of the disease. RESULTS: Out of the 62 patients the main radiological findings were reticular pattern (29%), ground-glass opacities (24%), crazy paving pattern (11%) and consolidation (35%). Most of the lesions were bilateral (97%), posterior (95%) and located near pleura (50%) or lung fissures (45%), mainly involving the lower right lobe (56%) and lower left lobe (23%). Pleural thickening was observed in 72.6% of patients and pleural effusion in 18%. Median value of the score was 7.0 and was significantly higher in male than female (8.5 vs 6.0, p=0.03) and in patients with pleural thickening compared to those without this finding (8.0 vs 5.0, p=0.03).


Subject(s)
Coronavirus Infections/diagnostic imaging , Lung/diagnostic imaging , Pleura/diagnostic imaging , Pneumonia, Viral/diagnostic imaging , Tomography, X-Ray Computed , Aged , Aged, 80 and over , COVID-19 , Coronavirus Infections/complications , Female , Humans , Italy , Male , Middle Aged , Pandemics , Pleura/pathology , Pleural Effusion/diagnostic imaging , Pleural Effusion/etiology , Pneumonia, Viral/complications , Severity of Illness Index
8.
Anaesthesia ; 75(12): 1620-1625, 2020 12.
Article in English | MEDLINE | ID: covidwho-592486

ABSTRACT

Lung ultrasound could facilitate the triage of patients with suspected COVID-19 infection admitted to the emergency room. We developed a predictive model for COVID-19 diagnosis based on lung ultrasound and clinical features. We used ultrasound to image the lung bilaterally at two anterior sites, one and two hands below each clavicle, and a posterolateral site that was the posterior transverse continuation from the lower anterior site. We studied 100 patients, 31 of whom had a COVID-19 positive reverse transcriptase polymerase chain reaction. A positive test was independently associated with: quick sequential organ failure assessment score ≥1; ≥3 B-lines at the upper site; consolidation and thickened pleura at the lower site; and thickened pleura line at the posterolateral site. The model discrimination was an area (95%CI) under the receiver operating characteristic curve of 0.82 (0.75-0.90). The characteristics (95%CI) of the model's diagnostic threshold, applied to the population from which it was derived, were: sensitivity, 97% (83-100%); specificity, 62% (50-74%); positive predictive value, 54% (41-98%); and negative predictive value, 98% (88-99%). This model may facilitate triage of patients with suspected COVID-19 infection admitted to the emergency room.


Subject(s)
Coronavirus Infections/diagnostic imaging , Emergency Service, Hospital/statistics & numerical data , Lung/diagnostic imaging , Pneumonia, Viral/diagnostic imaging , Adult , Aged , Area Under Curve , COVID-19 , Cohort Studies , Coronavirus Infections/diagnosis , Emergency Medical Services , Emergency Service, Hospital/organization & administration , Female , Humans , Male , Middle Aged , Organ Dysfunction Scores , Pandemics , Pleura/diagnostic imaging , Pneumonia, Viral/diagnosis , Polymerase Chain Reaction , Predictive Value of Tests , ROC Curve , Sensitivity and Specificity , Triage , Ultrasonography
9.
Respir Res ; 21(1): 125, 2020 May 24.
Article in English | MEDLINE | ID: covidwho-343502

ABSTRACT

BACKGROUND: A cluster of patients with coronavirus disease 2019 (COVID-19) pneumonia were discharged from hospitals in Wuhan, China. We aimed to determine the cumulative percentage of complete radiological resolution at each time point, to explore the relevant affecting factors, and to describe the chest CT findings at different time points after hospital discharge. METHODS: Patients with COVID-19 pneumonia confirmed by RT-PCR who were discharged consecutively from the hospital between 5 February 2020 and 10 March 2020 and who underwent serial chest CT scans on schedule were enrolled. The radiological characteristics of all patients were collected and analysed. The total CT score was the sum of non-GGO involvement determined at discharge. Afterwards, all patients underwent chest CT scans during the 1st, 2nd, and 3rd weeks after discharge. Imaging features and distributions were analysed across different time points. RESULTS: A total of 149 patients who completed all CT scans were evaluated; there were 67 (45.0%) men and 82 (55.0%) women, with a median age of 43 years old (IQR 36-56). The cumulative percentage of complete radiological resolution was 8.1% (12 patients), 41.6% (62), 50.3% (75), and 53.0% (79) at discharge and during the 1st, 2nd, and 3rd weeks after discharge, respectively. Patients ≤44 years old showed a significantly higher cumulative percentage of complete radiological resolution than patients > 44 years old at the 3-week follow-up. The predominant patterns of abnormalities observed at discharge were ground-glass opacity (GGO) (125 [83.9%]), fibrous stripe (81 [54.4%]), and thickening of the adjacent pleura (33 [22.1%]). The positive count of GGO, fibrous stripe and thickening of the adjacent pleura gradually decreased, while GGO and fibrous stripe showed obvious resolution during the first week and the third week after discharge, respectively. "Tinted" sign and bronchovascular bundle distortion as two special features were discovered during the evolution. CONCLUSION: Lung lesions in COVID-19 pneumonia patients can be absorbed completely during short-term follow-up with no sequelae. Two weeks after discharge might be the optimal time point for early radiological estimation.


Subject(s)
Coronavirus Infections/complications , Lung Diseases/etiology , Lung Diseases/therapy , Lung/diagnostic imaging , Pneumonia, Viral/complications , Adult , Age Factors , Bronchi/diagnostic imaging , COVID-19 , Coronavirus Infections/diagnostic imaging , Female , Follow-Up Studies , Humans , Lung Diseases/diagnostic imaging , Male , Middle Aged , Pandemics , Patient Discharge , Pleura/diagnostic imaging , Pneumonia, Viral/diagnostic imaging , Tomography, X-Ray Computed , Treatment Outcome , Young Adult
10.
J Infect ; 81(1): e40-e44, 2020 07.
Article in English | MEDLINE | ID: covidwho-45888

ABSTRACT

BACKGROUND: 2019 novel coronavirus disease (COVID-19) has become a worldwide pandemic. Under such circumstance pregnant women are also affected significantly. OBJECTIVE: This study aims to observe the clinical features and outcomes of pregnant women who have been confirmed with COVID-19. METHODS: The research objects were 55 cases of suspected COVID-19 pregnant women who gave a birth from Jan 20th 2020 to Mar 5th 2020 in our hospital-a big birth center delivering about 30,000 babies in the last 3 years. These cases were subjected to pulmonary CT scan and routine blood test, manifested symptoms of fever, cough, chest tightness or gastrointestinal symptoms. They were admitted to an isolated suite, with clinical features and newborn babies being carefully observed. Among the 55 cases, 13 patients were assigned into the confirmed COVID-19 group for being tested positive sever acute respiratory syndrome coronavirus 2(SARS-CoV-2) via maternal throat swab test, and the other 42 patients were assigned into the control group for being ruled out COVID-19 pneumonia based on new coronavirus pneumonia prevention and control program(the 7th edition). RESULTS: There were 2 fever patients during the prenatal period and 8 fever patients during the postpartum period in the confirmed COVID-19 group. In contrast, there were 11 prenatal fever patients and 20 postpartum fever patients in the control group (p>0.05). Among 55 cases, only 2 case had cough in the confirmed group. The imaging of pulmonary CT scan showed ground- glass opacity (46.2%, 6/13), patch-like shadows(38.5%, 5/13), fiber shadow(23.1%, 3/13), pleural effusion (38.5%, 5/13)and pleural thickening(7.7%, 1/13), and there was no statistical difference between the confirmed COVID-19 group and the control group (p>0.05). During the prenatal and postpartum period, there was no difference in the count of WBC, Neutrophils and Lymphocyte, the radio of Neutrophils and Lymphocyte and the level of CRP between the confirmed COVID-19 group and the control group(p<0.05). 20 babies (from confirmed mother and from normal mother) were subjected to SARS-CoV-2 examination by throat swab samples in 24 h after birth and no case was tested positive. CONCLUSION: The clinical symptoms and laboratory indicators are not obvious for asymptomatic and mild COVID-19 pregnant women. Pulmonary CT scan plus blood routine examination are more suitable for finding pregnancy women with asymptomatic or mild COVID-19 infection, and can be used screening COVID-19 pregnant women in the outbreak area of COVID-19 infection.


Subject(s)
Betacoronavirus , Coronavirus Infections/diagnosis , Coronavirus Infections/pathology , Pneumonia, Viral/diagnosis , Pneumonia, Viral/pathology , Pregnancy Complications, Infectious/diagnosis , Pregnancy Complications, Infectious/virology , Adult , Betacoronavirus/isolation & purification , COVID-19 , Case-Control Studies , China/epidemiology , Cough , Female , Fever , Humans , Lung/diagnostic imaging , Lymphocyte Count , Pandemics , Pleura/diagnostic imaging , Pleura/pathology , Postpartum Period , Pregnancy , Pregnancy Complications, Infectious/epidemiology , SARS-CoV-2 , Tomography, X-Ray Computed
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