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Diffusion-weighted imaging (DWI) is a well-established MRI sequence for diagnosing early stroke and provides therapeutic implications. However, DWI yields pertinent information in various other brain pathologies and helps establish a specific diagnosis and management of other central nervous system disorders. Some of these conditions can present with acute changes in neurological status and mimic stroke. This review will focus briefly on diffusion imaging techniques, followed by a more comprehensive description of the utility of DWI in common neurological entities beyond stroke.

Purpose: The aim of this study was to know proportion of white cataracts from among patients coming for cataract surgery, and to find causes delaying uptake of cataract surgery. Methods: A hospital-based, prospective study enrolled patients of senile cataract between April 2018 and March 2019. The proportion of white cataract was calculated and underlying causes delaying uptake of cataract surgery studied. Results: White cataracts constituted 13.5% of total 3634 senile cataract patients, with gender disparity disfavoring women. Bilateral white cataract was presentation in 39 (8%) patients and lens-related glaucoma in 24 (5%) patients. Pseudophakia in the other eye was single most common cause of delay. Conclusion: A large proportion of white cataracts suggest that penetration of cataract surgical services in not reaching to the most eligible individual.

We conducted this study to investigate the scope of the MRI neuroimaging manifestations in COVID-19-associated encephalitis. From January 2020 to September 2021, patients with clinical diagnosis of COVID-19-associated encephalitis, as well as concomitant abnormal imaging findings on brain MRI, were included. Two board-certified neuro-radiologists reviewed these selected brain MR images, and further discerned the abnormal imaging findings. 39 patients with the clinical diagnosis of encephalitis as well as abnormal MRI findings were included. Most (87%) of these patients were managed in ICU, and 79% had to be intubated-ventilated. 15 (38%) patients died from the disease, while the rest were discharged from the hospital. On MRI, FLAIR hyperintensities in the insular cortex were the most common finding, seen in 38% of the patients. Micro-hemorrhages on the SWI images were equally common, also seen in 38% patients. FLAIR hyperintensities in the medial temporal lobes were seen in 30%, while FLAIR hyperintensities in the posterior fossa were evident in 20%. FLAIR hyperintensities in basal ganglia and thalami were seen in 15%. Confluent FLAIR hyperintensities in deep and periventricular white matter, not explained by microvascular angiopathy, were detected in 7% of cases. Cortical-based FLAIR hyperintensities in 7%, and FLAIR hyperintensity in the splenium of the corpus callosum in 7% of patients. Finally, isolated FLAIR hyperintensity around the third ventricle was noted in 2% of patients.

Radiomics has achieved significant momentum in radiology research and can reveal image information invisible to radiologists' eyes. Radiomics first evolved for oncologic imaging. Oncologic applications (histopathology, tumor grading, gene mutation analysis, patient survival, and treatment response prediction) of radiomics are widespread. However, it is not limited to oncologic analysis, and any digital medical images can benefit from radiomics analysis. This article reviews the current literature on radiomics in non-oncologic, neurological disorders including ischemic strokes, hemorrhagic stroke, cerebral aneurysms, and demyelinating disorders.

Prediction of the hematoma expansion (HE) of spontaneous basal ganglia hematoma (SBH) from the first non-contrast CT can result in better management, which has the potential of improving outcomes. This study has been designed to compare the performance of \"Radiomics analysis,\" \"radiology signs,\" and \"clinical-laboratory data\" for this task. We retrospectively reviewed the electronic medical records for clinical, demographic, and laboratory data in patients with SBH. CT images were reviewed for the presence of radiologic signs, including black-hole, blend, swirl, satellite, and island signs. Radiomic features from the SBH on the first brain CT were extracted, and the most predictive features were selected. Different machine learning models were developed based on clinical, laboratory, and radiology signs and selected Radiomic features to predict hematoma expansion (HE). The dataset used for this analysis included 116 patients with SBH. Among different models and different thresholds to define hematoma expansion (10%, 20%, 25%, 33%, 40%, and 50% volume enlargement thresholds), the Random Forest based on 10 selected Radiomic features achieved the best performance (for 25% hematoma enlargement) with an area under the curve (AUC) of 0.9 on the training dataset and 0.89 on the test dataset. The models based on clinical-laboratory and radiology signs had low performance (AUCs about 0.5-0.6).

Despite the high prevalence of prostate cancer, its brain parenchymal metastasis is not common and intracranial hemorrhage due to such a metastasis is even less common. This report presents a challenging case of solitary brain metastasis secondary to prostate cancer that gave rise to intraventricular hemorrhage and acute hydrocephalus mimicking a giant aneurysm. The exophytic hemorrhagic hypothalamic metastasis can mimic a ruptured aneurysm on imaging. Given the improved survival of patients with prostate cancer, radiologists may encounter such unusual cerebral metastases from prostate cancers more frequently in the future.

IntroductionVentricular shunting remains the standard of care for patients with idiopathic normal pressure hydrocephalus (iNPH); however, not all patients benefit from the shunting. Prediction of response in advance can result in improved patient selection for ventricular shunting. This study aims to develop a machine learning predictive model for treatment response after shunt placement using the clinical and radiomics features.MethodsIn this retrospective pilot study, the medical records of iNPH patients who underwent ventricular shunting were evaluated. In each patient, the “idiopathic normal pressure hydrocephalus grading scale” (iNPHGS) and a “Modified Rankin Scale” were calculated before and after surgery. The subsequent treatment response was calculated as the difference between the iNPHGS scores before and after surgery. iNPHGS score reduction of two or more than two were considered as treatment response. The presurgical MRI scans were evaluated by radiologists, the ventricular systems were segmented on the T2-weighted images, and the radiomics features were extracted from the segmented ventricular system. Using Orange data mining open-source platform, different machine learning models were then developed based on the presurgical clinical features and the selected radiomics features to predict treatment response after shunt placement.ResultsAfter the implementation of the inclusion criteria, 78 patients were included in this study. One hundred twenty radiomics features were extracted, and the 12 best predictive radiomics features were selected. Using only clinical data (iNPHGS and Modified Rankin Scale), the random forest model achieved the best performance in treatment prediction with an area under the curve (AUC) of 0.71. Adding the Radiomics analysis to the clinical data improved the prediction performance, with the support vector machine (SVM) achieving the highest rank in treatment prediction with an AUC of 0.8. Adding age and sex to the analysis did not improve the prediction.ConclusionUsing machine learning models for treatment response prediction in patients with iNPH is feasible with acceptable accuracy. Adding the Radiomics analysis to the clinical features can further improve the predictive performance. SVM is likely the best model for this task.

A non-bifurcating carotid artery is a rare variation in the carotid circulation. Here we present a rare case of a non-bifurcating carotid artery with an aberrant course of the internal carotid artery incidentally discovered in a patient who presented to the trauma center after a fall. To our knowledge, this is the first reported case of a non-bifurcating carotid artery with an aberrant course of the internal carotid artery. The embryonic mechanisms of this variation and the available literature regarding this condition are also reviewed. Knowing this variation is necessary before considering vascular intervention of the neck and ear surgery to avoid vascular injury and complications.

Purpose: The aim of this study is to know practice pattern of cataract surgeons when operating on patients, positive for blood-borne viral infections (BBVIs), namely, hepatitis B virus, hepatitis C virus, and human immunodeficiency virus. We also studied their awareness, knowledge, and attitude toward universal precautions and guidelines. Methods: The telephonic survey enrolled practicing cataract surgeons, who were interviewed to record responses pertaining to their practice using an open-ended questionnaire. We studied statistical significance of difference of frequency of prick injuries in topical versus peribulbar anesthesia, and phacoemulsification versus manual small incision cataract surgery by employing Chi-square test. Significance of proportion was calculated using z-test. For all statistical calculations, significance level was set at 0.05%. Results: Of 623 ophthalmologists contacted, responses of 479 (79%) ophthalmologists were analyzed. Maximum participants were in private practice (48%). During whole practicing carrier, 313 (65%; 95% confidence interval [CI]: 61-70) participants admitted having suffered injury with needle or sharp instruments; of these, 204 (65%; 95% CI: 60-70) participants did not report their injury. Wearing \"double gloves\" during cataract surgery was the most common barrier adopted by participants. Conclusion: We found high prevalence of occupational-related sharp injuries among ophthalmologists in this survey. Majority of them were aware of universal precautions, but adherence to postexposure prophylaxis was lacking.

Purpose: The purpose of this study was to estimate the prevalence of blood-borne viral infections (triple H: HBV-hepatitis B virus, HCV-hepatitis C virus, and HIV-human immunodeficiency virus) among cataract patients, sought possible risk associations and discuss feasibility of universal preoperative screening. Methods: This prospective, cross-sectional study enrolled consecutive patients of senile cataract. They were screened by immunoassay-based rapid diagnostic card tests for blood-borne viral infections. Positive cases were confirmed with confirmatory ELISA tests. Seropositive patients were enquired about the exposure to possible risk associations for acquiring these infections. Cost of card test per patient was calculated. Results: The prevalence of seropositivity for triple H viral infections (HBV, HCV, and HIV) among patients of senile cataract was 5.9% (95% confidence interval [CI]: 5.3-6.6), and HCV was most common viral infection. The dental extraction was most common (54%; 95% CI:48-60) possible risk association. The total cost of primary screening per patient for triple H infections(HBV, HCV, and HIV) was $0.93. Conclusion: The prevalence of blood-borne viral infection among cataract patients is high in this area. Awareness of the prevalence of blood-borne viral infections in service area, along with knowledge of rate of accidental exposure and risk of transmission would help to understand cost-effectiveness of universal preoperative screening before cataract surgery.