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Chest X-ray (CXR) imaging is a low-cost, easy-to-use imaging alternative that can be used to diagnose/screen pulmonary abnormalities due to infectious diseaseX: Covid-19, Pneumonia and Tuberculosis (TB). Not limited to binary decisions (with respect to healthy cases) that are reported in the state-of-the-art literature, we also consider non-healthy CXR screening using a lightweight deep neural network (DNN) with a reduced number of epochs and parameters. On three diverse publicly accessible and fully categorized datasets, for non-healthy versus healthy CXR screening, the proposed DNN produced the following accuracies: 99.87% on Covid-19 versus healthy, 99.55% on Pneumonia versus healthy, and 99.76% on TB versus healthy datasets. On the other hand, when considering non-healthy CXR screening, we received the following accuracies: 98.89% on Covid-19 versus Pneumonia, 98.99% on Covid-19 versus TB, and 100% on Pneumonia versus TB. To further precisely analyze how well the proposed DNN worked, we considered well-known DNNs such as ResNet50, ResNet152V2, MobileNetV2, and InceptionV3. Our results are comparable with the current state-of-the-art, and as the proposed CNN is light, it could potentially be used for mass screening in resource-constraint regions.
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An esophageal lung is a subtype of communicating bronchopulmonary foregut malformation (CBPFM) where the lung, often right side, communicates with the esophagus, which causes hypoplastic and consolidated diseased lung, and is usually diagnosed late in its clinical course. Clinical suspicion based on patient history, signs, and symptoms should lead to this opinion. A chest CT scan combined with esophagography is highly recommended for suspicious cases. Here, we describe the case of a 3-month-old female infant who was referred to our hospital because of respiratory distress. The diagnosis of the congenital esophageal lung was made following a chest CT scan and esophagography. This is a very rare case that is misdiagnosed as a tracheoesophageal fistula. CBPFMs are rare abnormalities caused by an abnormal connection between the respiratory tract and the gastroesophageal system. Early diagnosis and differentiation of these abnormalities from sequestration and tracheoesophageal fistula could improve the outcome.
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Pericardial cysts are rare congenital anomalies, often clinically silent and incidentally found on imaging. However, patients with pericardial cysts may present with chest pain, tachypnea, and, rarely, symptoms secondary to cardiac tamponade. Echocardiography (transthoracic or transesophageal) and chest computed tomography (CT) scan with contrast are diagnostic modalities of choice in patients with pericardial cysts. Conservative management is justified in asymptomatic patients, while a surgical approach is recommended in symptomatic patients. Here, we describe the case of a 12-year-old boy who underwent imaging during the coronavirus disease 2019 (COVID-19) pandemic and was incidentally found to have a pericardial cyst.
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Purpose: The optimal choice of protocol for diagnostic imaging in children with tuberculosis (TB) is a contemporary challenge due to the war in Ukraine, which potentially can create a steep rise in TB cases in Western Europe. We aimed to gather all primary research comparing imaging modalities and their diagnostic accuracies for pulmonary findings in children with suspected or confirmed pulmonary tuberculosis (PTB). Method: We searched the databases PubMed and Embase using pre-specified search terms, for English- and non-English published and un-published reports from the period 1972 to 2022. We retrieved reports via citation search in excluded literature reviews and systematic reviews. Studies were eligible if most of the study population was between 0 and 18 years of age with confirmed or suspected PTB, and study participants had described diagnostic images from two or more different imaging modalities. Results: A total of 15 studies investigated conventional chest X-Ray (CXR) and computed tomography (CT) in diagnosing PTB in children. Nine studies investigated the number of participants in where CT or CXR confirmed the diagnosis of TB, and all of them, including a total of 1244 patients, reported that findings compatible with TB were more frequently detected on CT than CXR. Only two studies did not include radiological findings as part of their diagnostic criteria for PTB, and combined they showed that CT diagnosed 54/54 (100 %) children with confirmed PTB, while CXR diagnosed 42/54 (78 %). Two studies compared magnetic resonance imaging (MRI) with CXR and showed that MRI diagnosed more children with PTB than CXR. One study reported a higher positive predictive value (PPV), sensitivity and specificity for PTB findings for MRI than CXR. One study compared CXR with high-kilovolt (high-kV) CXR, finding compatible sensitivity and specificity regarding confirmation of PTB. Two studies compared ultrasound (US) with CXR and found that US had a higher diagnostic yield and more often correctly identified consolidations, mediastinal LAP, and pleural effusion. Conclusion: CT showed a higher diagnostic accuracy for PTB findings than CXR, MRI and US, and should be the imaging modality of first choice when available. MRI had a higher sensitivity and specificity than CXR for LAP, pleural effusion, and cavitation. US was complimentary in initial diagnostic work-up and follow up. A diagnostic strategy for PTB in children according to local availability and expertise is proposed, as no evidence from this systematic review shows otherwise, in acknowledgement of the expertise in high TB-burdened countries. CT can be performed when in doubt, due to the higher diagnostic yield.
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Pulmonary agenesis is a rare disorder, and the right-sided one is much rarer. Most of the cases are diagnosed during early life. Because of rarity, it can be misdiagnosed and even more challenging to diagnose when presented during adult life. However, we report a rare late manifestation of right-sided unilateral lung agenesis in a 22-year-old female patient who was treated for pneumonia several times, the first reported case from Bangladesh. We also highlighted the diagnostic approach of the case in low-resource settings.
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Introduction and importance: Echinococcus infection affects the liver and lungs. However, in unusual cases it may take location in the heart. Furthermore, the settling of the cysts in the interventricular septum are especially rare. Case presentation: We report a case of a 17-years old male presented with dyspnea and productive cough. Ultrasound showed an incidental finding of a cyst in the distal part of the interventricular septum and the apex of left ventricle. He was treated with a course of antibiotics with albendazole 800 mg then was referred to the cardiac surgery department. The cyst with all its layers was resected. Clinical discussion: Cardiac hydatid cyst is extremely rare. Especially the involvement of the interventricular septum as it is responsible for only 4% of cardiac cases. Its symptoms maybe nonspecific and the diagnoses is based on echography and computed tomography. The surgical treatment under cardiopulmonary by-bass with complementary course of albendazole 800 mg seems to have a good prognostic outcome. Conclusion: Cardiac echinococcus should be kept in mind in endemic regions. The diagnosis should be made in the early and uncomplicated stages since it may be fatal. Echocardiography is sensitive and useful for the diagnosis.
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COVID-19 is now an established morbidity across races, regions and clinical risks around the world. From its first detection in Wuhan city-China in 2019 to the recent breakthrough of approved vaccines, that are determinants and deterrents and gradually becoming apparent. The phenotype of its presentation however is both variable and challenging especially. For those presenting with unique skin dermatosis such as erythema multiforme. Case report Our case is on a 36 year- old gentleman who presented to the hospital complaining, initially of only urticarial rash (later established to be erythema multiform), which improved with symptomatic treatment. He was discharged, only to be re-admitted a week later with exacerbation of the former cutaneous manifestation, accompanied by fever and gastrointestinal symptoms. He ultimately made complete recovery and was discharged home.
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A 66-year-old woman underwent a pacemaker implantation following a symptomatic pause. The pacemaker lead inadvertently punctured the ventricle during implantation, penetrating through to the left internal mammary artery, causing slow hemorrhage. There was subsequent circulatory collapse with shock. We describe this rare yet life-threatening condition. (Level of Difficulty: Intermediate.).
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Pericardial decompression syndrome (PDS) is a potentially fatal disorder of left ventricular function that sometimes occurs after drainage of a pericardial effusion for cardiac tamponade. Patients at risk for PDS are difficult to identify. Here, we report 2 cases where PDS developed after drainage of effusions that had been present for years, suggesting that patients with chronic effusions are at higher risk for PDS. (Level of Difficulty: Advanced.).
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Objectives: When diagnosing Coronavirus disease 2019(COVID-19), radiologists cannot make an accurate judgments because the image characteristics of COVID-19 and other pneumonia are similar. As machine learning advances, artificial intelligence(AI) models show promise in diagnosing COVID-19 and other pneumonias. We performed a systematic review and meta-analysis to assess the diagnostic accuracy and methodological quality of the models. Methods: We searched PubMed, Cochrane Library, Web of Science, and Embase, preprints from medRxiv and bioRxiv to locate studies published before December 2021, with no language restrictions. And a quality assessment (QUADAS-2), Radiomics Quality Score (RQS) tools and CLAIM checklist were used to assess the quality of each study. We used random-effects models to calculate pooled sensitivity and specificity, I2 values to assess heterogeneity, and Deeks' test to assess publication bias. Results: We screened 32 studies from the 2001 retrieved articles for inclusion in the meta-analysis. We included 6737 participants in the test or validation group. The meta-analysis revealed that AI models based on chest imaging distinguishes COVID-19 from other pneumonias: pooled area under the curve (AUC) 0.96 (95 % CI, 0.94-0.98), sensitivity 0.92 (95 % CI, 0.88-0.94), pooled specificity 0.91 (95 % CI, 0.87-0.93). The average RQS score of 13 studies using radiomics was 7.8, accounting for 22 % of the total score. The 19 studies using deep learning methods had an average CLAIM score of 20, slightly less than half (48.24 %) the ideal score of 42.00. Conclusions: The AI model for chest imaging could well diagnose COVID-19 and other pneumonias. However, it has not been implemented as a clinical decision-making tool. Future researchers should pay more attention to the quality of research methodology and further improve the generalizability of the developed predictive models.
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BACKGROUND: Psittacosis is a systemic disease usually with respiratory involvement, caused by the obligate intracellular bacterium Chlamydia psittaci. Exposure to birds, the main zoonotic reservoir, is a major risk factor for infection. The spectrum of disease is highly variable, ranging from subclinical infection to severe pneumonia requiring mechanical ventilation. There is limited data on psittacosis progressing to organizing pneumonia and management of such cases. CASE PRESENTATION: A 63-year-old man was referred to a rural hospital with 11 days of fevers to 39 °C, myalgia, lethargy and several days of dry cough. After initial treatment with benzylpenicillin and doxycycline for left lower pneumonia found on CXR, the patient deteriorated with extensive bilateral consolidation on chest CT requiring mechanical ventilation. Atypical pneumonia screening was negative, however, exposure to a sick bird prior to symptom onset triggered testing for C. psittaci which was positive. Doxycycline was recommenced with minimal benefit, and organizing pneumonia was later suspected. The patient slowly improved with a weaning course of corticosteroids started after 19 days and was discharged from hospital. He unfortunately was re-admitted and died several months later. CONCLUSION: Severe pneumonia is a rare, but potentially life-threatening complication of psittacosis. We present a case of psittacosis which progressed to suspected organizing pneumonia despite appropriate antibiotics, and subsequent treatment with corticosteroids. This case suggests it may be useful to consider corticosteroids early in therapy for patients with severe psittacosis. Our paper underlines the need for further research to determine the best management of severe psittacosis to improve patient outcomes.
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BACKGROUND: Since the onset of the COVID-19 pandemic, the world witnessed disruption on an unprecedented scale affecting our daily lives including but not limited to healthcare, business, education, and transportation. Deep Learning (DL) is a branch of Artificial intelligence (AI) applications, the recent growth of DL includes features that could be helpful in fighting the COVID-19 pandemic. Utilizing such features could support public health efforts. OBJECTIVE: Investigate the literature available in the use of DL technology to support dealing with the COVID-19 crisis. We summarize the literature that uses DL features to analyze datasets for the purpose of a quick COVID-19 detection. METHODS: This review follows PRISMA Extension for Scoping Reviews (PRISMA-ScR). We have scanned the most two commonly used databases (IEEE, ACM). Search terms were identified based on the target intervention (DL) and the target population (COVID-19). Two authors independently handled study selection and one author assigned for data extraction. A narrative approach is used to synthesize the extracted data. RESULTS: We retrieved 53 studies and after passing through PRISMA excluding criteria, only 17 studies are considered in this review. All studies used deep learning for detection of COVID-19 cases in early stage based on different diagnostic modalities. Convolutional Neural Network (CNN) and Transfer Learning (TL) were the most commonly used techniques. CONCLUSION: The included studies showed that DL techniques has significant impact on early detection of COVID-19 with high accuracy rate. However, most of the proposed methods are still in development and not tested in a clinical setting. Further investigation and collaboration are required from the research community and healthcare professionals in order to develop and standardize guidelines for use of DL in the healthcare domain.
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Most heart failure hospitalizations are due to volume overload; however, it is not easily evaluated by physical examination. Avoidance of diuresis in patients with fluid overload to avoid acute kidney injury increases morbidity in heart failure. We hypothesize that fractional excretion of urate can be used to guide diuresis. (Level of Difficulty: Advanced.).
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We describe a 24-year-old pregnant woman at 34 weeks of gestation who presented to a community hospital with sharp chest pain radiating to her back. She was found to have a 6 cm ascending aortic aneurysm despite not having any established risk factors. She was transported by air ambulance to a tertiary-care hospital. She delivered a live female neonate via cesarean delivery. Her postpartum course was notable for multiple episodes of chest pain and multiple imaging studies that were read as negative for aortic dissection. Definitive valve surgery was postponed by the cardiothoracic surgeons to allow for recovery from severe preeclampsia, treatment of endometritis, and due to concerns for uterine bleeding while on anticoagulation during cardiopulmonary bypass. She was eventually transferred to another hospital in another state for valve-sparing surgery. During transport, she developed a pulmonary embolism, and after arrival an aortic dissection was confirmed. She received a mechanical aortic valve replacement and the aneurysm was repaired. She returned home and recovered without complication. A gene panel revealed a heterozygous pathogenic variant of the Filamin A gene. Aortic aneurysms during pregnancy are rare, and aortic dissections are more rare. We recommend expeditious surgical treatment, a heightened index of suspicion, and testing for a genetic cause of aneurysm when diagnosed in a pregnant or postpartum woman with no known risk factors.
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We report an unusual case of subacute right atrial perforation by a screw-in pacemaker lead that migrated into the right lung causing hemopneumothorax 2 weeks after the procedure. After transvenous simple manual traction and minithoracotomy repair of the right atrial wall, the lead was repositioned without any complications. (Level of Difficulty: Beginner.).
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PURPOSE: To determine the accuracy of quantitative CT to diagnose pulmonary edema compared to qualitative CT and CXR and to determine a threshold Hounsfield unit (HU) measurement for pulmonary edema on CT examinations. METHOD: Electronic medical records were searched for patients with a billing diagnosis of heart failure and a Chest CT and CXR performed within three hours between 1/1/2016 to 10/1/2016, yielding 100 patients. CXR and CT examinations were scored for the presence and severity of edema, using a 0-5 scale, and CT HU measurements were obtained in each lobe. Polyserial correlation coefficients evaluated the association between CT HUs and CXR scores, and receiver operating characteristic (ROC) curve analysis determined a cutoff CT HU value for identification of pulmonary edema. RESULTS: Correlation between CT HU and CXR score was moderately strong (râ¯=â¯0.585-0.685) with CT HU measurements demonstrating good to excellent accuracy in differentiating between no edema (grade 0) and mild to severe edema (grades 1-5) in every lobe, with AUCs ranging between 0.869 and 0.995. The left upper lobe demonstrated the highest accuracy, using a cutoff value of -825 HU (AUC of 0.995, sensitivityâ¯=â¯100 % and specificityâ¯=â¯95.1 %). Additionally, qualitative CT evaluation was less sensitive (84 %) than portable CXR in identifying pulmonary edema. However, quantitative CT evaluation was as sensitive as portable CXR (100 %) and highly specific (95 %). CONCLUSIONS: Quantitative CT enables the identification of pulmonary edema with high accuracy and demonstrates a greater sensitivity than qualitative CT in assessment of pulmonary edema.
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Pulmonary edema is a common clinical entity caused by the extravascular movement of fluid into the pulmonary interstitium and alveoli. The four physiologic categories of edema include hydrostatic pressure edema, permeability edema with and without diffuse alveolar damage (DAD), and mixed edema where there is both an increase in hydrostatic pressure and membrane permeability. As radiographic manifestations and etiologies are varied, an appreciation for both the common and uncommon manifestations and causes of pulmonary edema is essential for accurate diagnosis.
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BACKGROUND: Bronchopleural fistulas (BPF) are abnormal sinus tracts connecting the bronchi and pleural cavity and form after surgical resection of a lung lobe. It is a complication with potentially disastrous sequelae including, failure of the bronchial stump to heal, ischemia of the affected area, and/or infection of the stump. Bronchopleural fistulas caused by surgical intervention most commonly present on the right side and within 7-12 days post-operatively, i.e., subacutely. While the fistula may initially be asymptomatic, they carry a mortality rate of 25-71% in the absence of other comorbidities. CASE PRESENTATION: A 60-year-old female developed a BPF more than seven months after a left lower lobe lung lobectomy for non-small cell adenocarcinoma is presented. She was seen at our hospital on multiple occasions after her lobectomy with no evidence of a developing fistula on chest computer tomography (CT) during those visits. During her most recent presentation, roughly 7 months postoperatively, she was noted on imaging to have a new left-sided bronchopleural fistula. Bronchoscopy with lavage and culture of the fistula grew Pseudomonas Aeruginosa, for which she received appropriate treatment. Further surgical interventions were deferred due to poor prognosis. Her presentation differed from the typical BPF presentation in that it was left-sided and occurred out of the window of its usual occurrence. CONCLUSION: Late-onset BPF is an important diagnosis to consider in patients who have undergone lung resection, regardless of the type of surgery or postoperative duration, especially when patients are known to have multiple predisposing factors.
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OBJECTIVE: To provide strategies for monitoring and treating severe lung involvement in Gaucher disease. STUDY DESIGN: We reviewed the chart of a 5-year-old boy who developed rapidly progressive, severe infiltrative lung involvement of Gaucher disease (GD) and improved after allogeneic hematopoietic stem cell transplant (HSCT), along with other case studies reported before December 2019. He was diagnosed with GD (homozygous mutation at c.1448 T > C, p.L483P), and started receiving enzyme replacement therapy (ERT) at 17 months old. He developed respiratory distress symptoms after 45 months of ERT; chest imaging reported diffuse interstitial infiltration of the bilateral lungs and consolidations at the right lungs. Allogeneic HSCT using cells from a matched unrelated donor was performed four months upon progressive respiratory symptoms. RESULTS: His respiratory symptoms subsided in one month; chest imaging improvement, pulmonary function test improvement, and normalized activity of ß-glucocerebrosidase were reported in three months. CONCLUSION: This is the first report of a patient who received early and regular ERT but developed severe infiltrative lung involvement and recovered after allogeneic HSCT. Based on study results, we suggest regular chest imaging, even for asymptomatic patients. For patients with severe lung involvement, rapid deterioration, and unresponsive to higher ERT dosages, allogeneic HSCT should be considered.
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BACKGROUND/PURPOSE: Hepatitis B virus reactivation (HBVR) is common in patients withcancer. The aim of the present study was to find out clinical profile of patients with cancer receiving chemotherapy with HBVR and to study the efficacy of entecavir (ETV) and tenofovir in the treatment of HBVR. METHODS: This is a prospective study in which all consecutive patients with cancer with evidence of HBVR were included. HBVR was defined as: New onset transaminitis with alanine aminotransferase (ALT) >3 times upper limit of normal and >10 fold increase in HBV DNA levels from baseline levels or detection of HBV DNA ≥100,000 IU/ml in patients with no baseline HBV DNA. Patients with HBVR were put on ETV or tenofovir and were closely monitored for efficacy and safety for minimum of 1 year. RESULTS: Of 204 Hepatitis B surface antigen (HBsAg)-positive patients with different cancers, 92 met the inclusion criteria. Of 92, 46 received ETV 0.5 mg/day and 46 received tenofovir disoproxil fumarate (TDF) 300 mg/day. At 6 months, there was 4.7 log reduction in HBV DNA level in the ETV group and 5.2 log reduction in the TDF group (P = 0.029). Proportion of patients with undetectable HBV DNA (75.7% vs 87.5%), ALT normalization (89.2% Vs 87.5%), HBsAg negativity (25% vs 28.1%), and seroconversion (2.8% vs 3.1%) at 1 year were almost similar in both groups with P value > 0.05 for all efficacy end points. There was no HBVR-related mortality in any group. CONCLUSION: Both ETV and tenofovir are very effective in the treatment of HBVR and reduce the liver-related mortality and morbidity in such patients.