Deep learning for discrimination of active and inactive lesions in multiple sclerosis using non-contrast FLAIR MRI: A multicenter study.

BACKGROUND: Within the domain of multiple sclerosis (MS), the precise discrimination between active and inactive lesions bears immense significance. Active lesions are enhanced on T1-weighted MRI images after administration of gadolinium-based contrast agents, which brings about associated complexities. This study investigates the potential of deep learning to differentiate between active and inactive lesions in MS using non-contrast FLAIR-type MRI data, presenting a non-invasive alternative to conventional gadolinium-based MRI methods. METHODS: The dataset encompasses 9097 lesion images collected from 130 MS patients across four distinct imaging centers, with post-contrast T1-weighted images as the benchmark reference. We initially identified and labeled the lesions and carefully selected corresponding regions of interest (ROIs). These ROIs were employed as inputs for a convolutional neural network (CNN) to predict lesion status. Also, transfer learning was utilized, incorporating 12 pre-trained CNN models. Subsequently, an ensemble technique was applied to 3 of best models, followed by a systematic comparison of the results. RESULTS: Through a 5-fold cross-validation, our custom designed network exhibited an average accuracy of 85 %, a sensitivity of 95 %, a specificity of 75 %, and an AUC value of 0.90. Among the pre-trained models, ResNet50 emerged as the most effective, achieving a specificity of 58 %, an accuracy of 75 %, a sensitivity of 91 %, and an AUC value of 0.81. Our comprehensive evaluations encompassed the receiver operating characteristic curve, precision-recall curve, and confusion matrix analyses. CONCLUSION: The findings underscore the efficacy of the proposed CNN, trained on FLAIR MRI data ROIs, in accurately discerning active and inactive lesions without reliance on contrast agents. Our multicenter study of 130 patients with diverse imaging devices outperforms the other single-center studies, achieving superior sensitivity and specificity. Unlike studies using multiple modalities, our exclusive use of FLAIR images streamlines the process, and our streamlined approach, excluding conventional pre-processing, demonstrates efficiency. The external validation conducted on diverse datasets, coupled with the analysis of dilated masks, underscores the adaptability and efficacy of our custom CNN model in discerning between active and inactive lesions.

Candida endophthalmitis and Candida pneumonia after trans-urethral lithotripsy: A case report.

Key Clinical Message: Invasive candidiasis may be one of the serious complications of transurethral lithotripsy. Candiduria before this procedure should be assessed, and antifungals should be prescribed. Abstract: This case is about a 44-year-old diabetic female patient who, after trans-urethral lithotripsy with double-J stent insertion, was diagnosed with Candida pneumonia and Candida endophthalmitis.

Metastatic Seminoma Presenting in Kidney and Cervical Lymph Nodes after a 25-Year Interval: A Case Report and Literature Review.

Introduction: Seminoma comprises approximately 50% of testicular germ cell tumors. Retroperitoneal lymph nodes are the most common initial metastatic sites but renal metastases are infrequent and the majority of renal tumors represent primary neoplasm. Case Presentation: In this study, we present a 48-year-old male with metastases of seminoma to the cervical lymph nodes and kidney after a 25-year interval. Conclusion: This presentation emphasizes the necessity of advising all patients who are discharged from follow-up that there is a chance of late remote relapse and that if they acquire any illness after discharge, they must inform their doctor about their previous seminoma.

The Role of CT Angiography to Predict the Shamblin Group in Carotid Body Tumors.

Carotid body tumors (CBTs) are uncommon benign head and neck neoplasms. Surgical resection is the treatment of choice for CBTs. However, the anatomical structures adjacent to the tumor tissue may encounter serious injuries during the surgery. Shamblin grading system is a surgical intra-operative scoring system to determine the risks associated with the surgery. Therefore, we aimed to evaluate the correlation of pre-surgical imaging parameters with Shamblin grades and intra-operative complications. In this cross sectional study, we enrolled 36 patients with CBTs. Preoperative cervical CT angiography was acquired in each participant and following parameters were reported in each case: Tumor volume, tumor distance to the base of the skull (TDBS), tumor contact with the internal carotid artery (ICA), and external carotid artery (ECA) and tumor density. Finally, we assessed the relation of pre-surgical imaging parameters with Shamblin grades, and intra-operative complications. Only tumor volume was significantly correlated with Shamblin grades (P < 0.05). The tumor contact with ECA was marginally correlated with Shamblin grades (P = 0.103); however, other imaging parameters were not significantly correlating with Shamblin grades. There was a statistically significant correlation between ICA contact and tumor volume with ECA injury. In addition, the tumor density significantly correlated with cranial nerves injury. The results of STATA analysis were indicative for 69.44% accordance between radiologic typing and Shamblin grading system. We found that tumor volume correlates significantly with Shamblin grading system, and there is significant correlation between tumor ICA contact, and tumor density and intra-operative complications.

The effect of selenium supplementation on sonographic findings of salivary glands in papillary thyroid cancer (PTC) patients treated with radioactive iodine: study protocol for a double-blind, randomized, placebo-controlled clinical trial.

BACKGROUND: Thyroid cancer is a very damaging disease. The most common treatment for this disease includes thyroidectomy and then using radioactive iodine (RAI). RAI has many side effects, including a decrease in salivary secretions, followed by dry mouth and oral and dental injuries, as well as increased inflammation and oxidative stress. Selenium can be effective in these patients by improving inflammation and oxidative stress and by modulating salivary secretions. So far, only one clinical trial has investigated the effect of selenium on thyroid cancer patients treated with radioiodine therapy (RIT) conducted on 16 patients; considering the importance of this issue, to show the potential efficacy of selenium in these patients, more high-quality trials with a larger sample size are warranted. METHODS: This is a parallel double-blind randomized controlled clinical trial that includes 60 patients aged 20 to 65 years with papillary thyroid cancer (PTC) treated with RAI and will be conducted in Seyyed al-Shohada Center, an academic center for referral of patients to receive iodine, Isfahan, Iran. Thirty patients will receive 200 µg of selenium for 10 days (3 days before to 6 days after RAI treatment) and another 30 patients will receive a placebo for the same period. Sonographic findings of major salivary glands, salivary secretions, and sense of taste will be evaluated before and 6 months after 10-day supplementation. DISCUSSION: Due to its anti-inflammatory and antioxidant effects, as well as improving salivary secretions, selenium may improve the symptoms of thyroid cancer treated with radioactive iodine. In past studies, selenium consumption has not reduced the therapeutic effects of radiation therapy, and at a dose of 300 to 500 µg/day, it has not had any significant side effects in many types of cancer under radiation therapy. TRIAL REGISTRATION: Iranian Registry of Clinical Trials IRCT20201129049534N6 . Registered on 16 September 2021.

Reference values for ductus venosus Doppler velocity indices between 11 and 13+6 weeks of gestation: A single-center prospective study in Iran.

Background: This study aimed to investigate reference Doppler velocimetry indices (DVIs) of the fetal ductus venosus (DV) during 11-13 + 6 gestational weeks. Materials and Methods: In a prospective observation over referrals to a single tertiary care center in a 2-year interval, normal singleton pregnancies with fetal crown-rump lengths (CRLs) of 43-80 mm were examined by a single experienced sonographer for their DV pulsatility index (DVPI), DV resistance index (DVRI), and S-wave maximum velocity/A-wave minimum velocity (S/A ratio). Multinomial and quantile regression functions were used to analyze the effect of gestational age (estimated by CRL) on reference values (5th and 95th percentiles of the distribution in each gestational day/week). P < 0.05 was considered significant. Results: Over a sample of 415 participants with a mean/median gestational age of 12 + 1 weeks, no significant correlations were found between the CRL and DVIs using multinomial regression functions (linear model best fitted for all [DVPI: B coefficient = 0.001, P = 0.235] [DVRI: B coefficient = 0.001, P = 0.287] [DV S/A: B coefficient = 0.010, P = 283]). Quantile regression analyses of DVIs' reference values were nonsignificant across the CRL range except for the DVRI ([5th regression line: coefficient = -0.004, P = 0.018] [95th regression line: coefficient = -0.001, P = 0.030]). Conclusion: Reference values for DVPI, DVRI, and DV S/A ratios were established as 0.80-1.39, 0.62-0.88, and 2.57-6.70, respectively. Future meta-analyses and multicenter studies are required to incorporate DV DVIs into an updated universal version of the practice.

Clinical and Neuroimaging Characteristics of Ischemic Stroke in Rhino-Orbito-Cerebral Mucormycosis Associated with COVID-19.

PURPOSE: The aim of this study was to compare clinical, neuroimaging, and laboratory features of rhino-orbito-cerebral mucormycosis (ROCM) in COVID-19 patients with and without ischemic stroke complications. METHODS: This observational study was conducted between August and December 2021 and 48 patients who had confirmed ROCM due to COVID-19, according to neuroimaging and histopathology/mycology evidence were included. Brain, orbit and paranasal sinus imaging was performed in all included patients. Data pertaining to clinical, neuroimaging, and laboratory characteristics and risk factors were collected and compared between patients with and without ischemic stroke complications. RESULTS: Of the patients 17 were diagnosed with ischemic stroke. Watershed infarction was the most common pattern (N = 13, 76.4%). Prevalence of conventional risk factors of stroke showed no significant differences between groups (patients with stroke vs. without stroke). Cavernous sinus (p = 0.001, odds ratio, OR = 12.8, 95% confidence interval, CI: 2.3-72) and ICA (p < 0.001, OR = 16.31, 95%CI: 2.91-91.14) involvement was more common in patients with stroke. Internal carotid artery (ICA) size (on the affected side) in patients with ischemic stroke was significantly smaller than in patients without stroke (median = 2.4 mm, interquartile range, IQR: 1.3-4 vs. 3.8 mm, IQR: 3.2-4.3, p = 0.004). Superior ophthalmic vein (SOV) size (on the affected side) in patients with stroke was significantly larger than patients without stroke (2.2 mm, IQR: 1.5-2.5 vs. 1.45 mm IQR: 1.1-1.8, p = 0.019). Involvement of the ethmoid and frontal sinuses were higher in patients with stroke (p = 0.007, OR = 1.85, 95% CI: 1.37-2.49 and p = 0.011, OR = 5, 95% CI: 1.4-18.2, respectively). Patients with stroke had higher D­dimer levels, WBC counts, neutrophil/lymphocyte ratios, and BUN/Cr ratio (all p < 0.05). CONCLUSION: Stroke-related ROCM was not associated with conventional ischemic stroke risk factors. Neuroimaging investigations including qualitative and quantitative parameters of cavernous sinus, ICA and SOV are useful to better understand the mechanism of stroke-related ROCM in COVID-19 patients.

Thoracolumbar Injury: The Thoracolumbar Injury Classification and Severity Scoring System or Modified Thoracolumbar Injury Classification and Severity?

OBJECTIVE: To compare the Thoracolumbar Injury Classification and Severity (TLICS) scoring system with its modified (mTLICS) version based on their agreement with the surgeon's opinion regarding treatment for patients with thoracolumbar injuries. Moreover, the Posterior Ligamentous Complex health was compared between intraoperative examinations and magnetic resonance imaging (MRI) reports. METHODS: MRI was obtained from 114 patients suffering thoracolumbar spinal trauma; the TLICS and mTLICS scores were measured. Approaches 1 and 2 were designed in both scoring systems based on assuming a total score of 4 as surgery and conservative management indication, respectively. Kappa was used to estimate the agreements between each approach and the surgeon's opinion on treatment. The receiver operating curve calculated the appropriate cut-off scores for the above systems over which surgical management was preferred. A P < 0.05 was considered significant. RESULTS: All the approaches showed moderate agreements with the surgeon's opinion on therapeutic management (TLICS: κapproach1 = 0.557, κapproach2 =0.508; mTLICS: κapproach1 = 0.557, κapproach2 = 0.551; P < 0.001 for each κ). A score >3.5 best illustrated the indication for surgery in both systems. The radiology report agreed stronger with intraoperatively observed ligamentous health when suspicious cases on MRI were reported as injured (κTLICS = 0.830, κmTLICS = 0.704) rather than healthy (κTLICS = 0.620, κmTLICS = 0.620). CONCLUSIONS: The surgeon's treatment plan agreed moderately with suggestions of the TLICS and mTLICS systems; surgery was the preferred management for the patients with a score of 4. Moreover, radiologic suspicion of Posterior Ligamentous Complex injury seemed to indicate a damaged ligament rather than a healthy one.

Clinical characteristics of COVID-19-infected cancer patients, Isfahan, Iran.

Background: Cancer patients, as a highly vulnerable population, are receiving a great deal of attention in the current crisis of coronavirus 2019 (COVID-19). To date, shreds of evidence are not sufficient to the description of COVID-19 outcomes in patients with cancer. This study was performed to evaluate the demographic and clinical characteristics and subsequent outcomes of COVID-19 in cancer patients. Materials and Methods: A hospital-based study was conducted involving 66 cancer patients with a confirmed diagnosis of COVID-19 from January 15, 2020, to December 21, 2020, in Isfahan, Iran. The clinical information was collected by interview and medical records. The statistical analyses were performed to describe categorical variables as well as mean, standard deviation, median, and the interquartile range for quantitative variables. Results: In our study, 66 cancer patients with confirmed COVID-19 (age: 17-97 years; 50% female) were included. Leukemia and bone marrow cancer with a frequency of 25.7% were the most common types of cancer among them. Cancer patients mostly complained of fever, cough and fatigue, and shortness of breath. Among 76.9% of patients discharged from the hospital with relative recovery, 23% died; the most common cause of death was acute respiratory distress syndrome. Age, gender, and type of cancer did not affect cancer mortality. COVID-19 had no potential effect to increase the risk of side effects of anticancer therapies. Conclusion: The results of our studies revealed that cancer is an important risk factor for the higher rate of mortality in patients with COVID-19. These findings could help physicians for the management, treatment, and supportive care of COVID-19 cancer patients.

Diagnostic Accuracy of Multiple MRI Parameters in Dealing with Incidental Thyroid Nodules.

Background: Different MRI parameters have been studied for evaluating thyroid nodules. Diffusion-weighted imaging (DWI) and T2 imaging sequences with considerable efficacy in evaluating soft tissue tumors merit further assessment for thyroid nodule investigation. Method: We evaluated incidental thyroid nodules (ITNs) reported on head and neck MRI studies. The T2 signal intensity (SI), T2 signal intensity ratio (SIR), Z value, and apparent diffusion coefficient (ADC) values of the thyroid nodule were obtained for every patient. The patients were referred to the radiology department for the thyroid nodule ultrasound study. Finally, 33 participants (37 thyroid nodules) who were scheduled for fine needle aspiration and cytology (FNAC) were enrolled. Regarding the FNAC results, the nodules were divided into malignant and benign groups. The two groups' MRI parameters were compared using a two samples independent t test, and the cutoff values were estimated by analyzing the receiver operating characteristics plot. Results: The T2 signal intensities, SIR, Z values, and ADC values were significantly higher in the benign group than malignant. The cutoff points of 230 (AUC = 0.759), 3.38 (AUC = 0.754), 37 (AUC = 0.759), and 1.73 (AUC = .690) were obtained for T2 values, SIR, Z values, and ADC values, respectively. Conclusion: T2, SIR, Z, and ADC values are reliable for discriminating benign from malignant ITNs. However, further studies with a larger sample size are needed to provide more accurate mean values, identify outliers, and reduce confounding factors and bias.

A novel reliability-based regression model to analyze and forecast the severity of COVID-19 patients.

BACKGROUND: Coronavirus outbreak (SARS-CoV-2) has become a serious threat to human society all around the world. Due to the rapid rate of disease outbreaks and the severe shortages of medical resources, predicting COVID-19 disease severity continues to be a challenge for healthcare systems. Accurate prediction of severe patients plays a vital role in determining treatment priorities, effective management of medical facilities, and reducing the number of deaths. Various methods have been used in the literature to predict the severity prognosis of COVID-19 patients. Despite the different appearance of the methods, they all aim to achieve generalizable results by increasing the accuracy and reducing the errors of predictions. In other words, accuracy is considered the only effective factor in the generalizability of models. In addition to accuracy, reliability and consistency of results are other critical factors that must be considered to yield generalizable medical predictions. Since the role of reliability in medical decisions is significant, upgrading reliable medical data-driven models requires more attention. METHODS: This paper presents a new modeling technique to specify and maximize the reliability of results in predicting the severity prognosis of COVID-19 patients. We use the well-known classic regression as the basic model to implement our proposed procedure on it. To assess the performance of the proposed model, it has been applied to predict the severity prognosis of COVID-19 by using a dataset including clinical information of 46 COVID-19 patients. The dataset consists of two types of patients' outcomes including mild (discharge) and severe (ICU or death). To measure the efficiency of the proposed model, we compare the accuracy of the proposed model to the classic regression model. RESULTS: The proposed reliability-based regression model, by achieving 98.6% sensitivity, 88.2% specificity, and 93.10% accuracy, has better performance than classic accuracy-based regression model with 95.7% sensitivity, 85.5% specificity, and 90.3% accuracy. Also, graphical analysis of ROC curve showed AUC 0.93 (95% CI 0.88-0.98) and AUC 0.90 (95% CI 0.85-0.96) for classic regression models, respectively. CONCLUSIONS: Maximizing reliability in the medical forecasting models can lead to more generalizable and accurate results. The competitive results indicate that the proposed reliability-based regression model has higher performance in predicting the deterioration of COVID-19 patients compared to the classic accuracy-based regression model. The proposed framework can be used as a suitable alternative for the traditional regression method to improve the decision-making and triage processes of COVID-19 patients.

Chest Computed Tomography Severity Score to Predict Adverse Outcomes of Patients with COVID-19.

BACKGROUND: The novel coronavirus disease 2019 (COVID-19) continues to wreak havoc worldwide. This study assessed the ability of chest computed tomography (CT) severity score (CSS) to predict intensive care unit (ICU) admission and mortality in patients with COVID-19 pneumonia. MATERIALS AND METHODS: A total of 192 consecutive patients with COVID-19 pneumonia aged more than 20 years and typical CT findings and reverse-transcription polymerase chain reaction positive admitted in a tertiary hospital were included. Clinical symptoms at admission and short-term outcome were obtained. A semi-quantitative scoring system was used to evaluate the parenchymal involvement. The association between CSS, disease severity, and outcomes were evaluated. Prediction of CSS was assessed with the area under the receiver-operating characteristic (ROC) curves. RESULTS: The incidence of admission to ICU was 22.8% in men and 14.1% in women. CSS was related to ICU admission and mortality. Areas under the ROC curves were 0.764 for total CSS. Using a stepwise binary logistic regression model, gender, age, oxygen saturation, and CSS had a significant independent relationship with ICU admission and death. Patients with CSS ≥12.5 had about four-time risk of ICU admission and death (odds ratio 1.66, 95% confidence interval 1.66 - 9.25). The multivariate regression analysis showed the superiority of CSS over other clinical information and co-morbidities. CONCLUSION: CSS was a strong predictor of progression to ICU admission and death and there was a substantial role of non-contrast chest CT imaging in the presence of typical features for COVID-19 pneumonia as a reliable predictor of clinical severity and patient's outcome.

Adverse reaction of methylprednisolone pulse therapy: Acute respiratory distress syndrome.

Methylprednisolone pulse therapy has significant anti-inflammatory effects in multiple sclerosis. Acute respiratory distress syndrome as a probable adverse effect of methylprednisolone pulse therapy in MS patients should be considered.

Fatal disseminated aspergillosis in an immunocompetent patient with COVID-19 due to Aspergillus ochraceus.

Aspergillus infection is a well-known complication of severe influenza and severe acute respiratory syndrome coronavirus (SARS-CoV), and these infections have been related with significant morbidity and mortality even when appropriately diagnosed and treated. Recent studies have indicated that SARS-CoV-2 might increase the risk of invasive pulmonary aspergillosis (IPA). Here, we report the first case of Aspergillus ochraceus in a SARS-CoV-2 positive immunocompetent patient, which is complicated by pulmonary and brain infections. Proven IPA is supported by the positive Galactomannan test, culture-positive, and histopathological evidence. The patient did not respond to voriconazole, and liposomal amphotericin B was added to his anti-fungal regimen. Further studies are needed to evaluate the prevalence of IPA in immunocompetent patients infected with SARS-CoV-2. Consequently, testing for the incidence of Aspergillus species in lower respiratory secretions and Galactomannan test of COVID-19 patients with appropriate therapy and targeted anti-fungal therapy based on the primary clinical suspicion of IPA are highly recommended.

A case study of methadone-induced delayed post-hypoxic leukoencephalopathy with improvement by antioxidant therapy.

Delayed post-hypoxic leukoencephalopathy (DPHL) is a syndrome that may occur as a result of the hypoxic event, including opiate overdose. The pathophysiology of this entity is not fully known. Within a neuropsychiatric context, the diagnosis of this rare disease is important. A 39-year-old man with a history of methadone overdose presented with loss of consciousness and fever. After clinical evaluations, laboratory analysis, including various tests on blood and cerebrospinal fluid and magnetic resonance imaging, the patient was diagnosed with methadone-induced DPHL. Treatment with antioxidants, including vitamins E, C and B complex, produced a favorable outcome. In rare cases, methadone overdose may lead to DPHL. Antioxidants therapy should be considered in the treatment of this rare disorder.

Risk factors associated with intensive care unit (ICU) admission and in-hospital death among adults hospitalized with COVID-19: a two-center retrospective observational study in tertiary care hospitals.

BACKGROUND: The COVID-19 pandemic is straining the health care systems worldwide. Therefore, health systems should make strategic shifts to ensure that limited resources provide the highest benefit for COVID-19 patients. OBJECTIVE: This study aimed to describe the risk factors associated with poor in-hospital outcomes to help clinicians make better patient care decisions. MATERIAL AND METHODS: This retrospective observational study enrolled 176 laboratory-confirmed COVID-19 patients. Demographic characteristics, clinical data, lymphocyte count, CT imaging findings on admission, and clinical outcomes were collected and compared. Two radiologists evaluated the distribution and CT features of the lesions and also scored the extent of lung involvement. The receiver operating characteristic (ROC) curve was used to determine the optimum cutoff point for possible effective variables on patients' outcomes. Multivariable logistic regression models were used to determine the risk factors associated with ICU admission and in-hospital death. RESULT: Thirty-eight (21.5%) patients were either died or admitted to ICU from a total of 176 enrolled ones. The mean age of the patients was 57.5 ± 16.1 years (males: 61%). The best cutoff point for predicting poor outcomes based on age, CT score, and O2 saturation was 60 years (sensitivity: 71%, specificity: 62%), 10.5 (sensitivity: 73%, specificity: 58%), and 90.5% (sensitivity: 73%, specificity: 59%), respectively. CT score cutoff point was rounded to 11 since this score contains only integer numbers. Multivariable-adjusted regression models revealed that ages of ≥ 60 years, CT score of ≥ 11, and O2 saturation of ≤ 90.5% were associated with higher worse outcomes among study population (odds ratio (OR): 3.62, 95%CI: 1.35-9.67, P = 0.019; OR: 4.38, 95%CI: 1.69-11.35, P = 0.002; and OR: 2.78, 95%CI: 1.03-7.47, P = 0.042, respectively). CONCLUSION: The findings indicate that older age, higher CT score, and lower O2 saturation could be categorized as predictors of poor outcome among COVID-19-infected patients. Other studies are required to prove these associations.

Interobserver and intraobserver variability in magnetic resonance imaging evaluation of patients with suspected disc herniation.

OBJECTIVE: Magnetic resonance imaging (MRI) is usually the modality of choice to assess sciatica and intervertebral disc herniation. Despite remarkable progression in diagnostic imaging and surgical techniques, definite diagnosis based on imaging interpretation is still a great challenge. The aim of this study was to determine interobserver and intraobserver variability in reporting lumbar MRI between two neuroradiologists based on the new 2014 version of disc nomenclature. PATIENTS AND METHODS: The study population was composed of 134 irresponsive to conservative therapy patients with clinical presentations of disc herniation and lumbar radiculopathy. MRI was taken from all the participants using a 1.5 T MRI system. Two neuroradiologists evaluated the images, separately and one of them did it twice and interpreted the scans in sagittal and axial planes. Disc bulge, disc herniation and nerve root compression were evaluated at each level. Interobserver and interaobserver agreements between two neuroradiologists, and one neuroradiologist in two times of reporting were calculated for the evaluation of bulging and herniated discs and nerve root compression by applying the Kappa statistics. RESULTS: Bulging disc, herniated disc, the type of disc, location of the discs, and nerve root compression diagnosis were significantly in excellent agreement (kappa>0.7, p-value<0.001) through intraobserver assessments, while interobserver assessments presented statistically significant with a fair agreement (kappa:0.4-0.7 and p-value<0.05). CONCLUSION: Remarkable intraobserver agreement was found between diagnoses of disc-related pathologies of the lumbar spine while interobserver assessments revealed only fair concordance.

Fatal Invasive Pulmonary Aspergillosis in COVID-19 Patient with Acute Myeloid Leukemia in Iran.

Although patients with severe immunodeficiency and hematological malignancies has been considered at highest risk for invasive fungal infection, patients with severe pneumonia due to influenza, and severe acute respiratory syndrome coronavirus (SARS-CoV) are also at a higher risk of developing invasive pulmonary aspergillosis (IPA). Recently, reports of IPA have also emerged among SARS-CoV-2 infected patients admitted to intensive care units (ICUs). Here, we report a fatal case of probable IPA in an acute myeloid leukemia patient co-infected with SARS-CoV-2 and complicated by acute respiratory distress syndrome (ARDS). Probable IPA is supported by multiple pulmonary nodules with ground glass opacities which indicate halo sign and positive serum galactomannan results. Screening studies are needed to evaluate the prevalence of IPA in immunocompromised patients infected with SARS-CoV-2. Consequently, testing for the presence of Aspergillus in lower respiratory secretions and galactomannan in consecutive serum samples of COVID-19 patients with timely and targeted antifungal therapy based on early clinical suspicion of IPA are highly recommended.

Fulminant encephalitis as a sole manifestation of COVID-19.

Novel coronavirus (SARS-CoV-2) occurred in December 2019 in Wuhan, China, and has become a global health emergency. Coronavirus primarily is a respiratory virus, but it has been detected in the brain and cerebrospinal fluid of infected individuals. The present report describes a case of fulminant encephalitis in a patient affected by COVID-19.