Morel-Lavallee syndrome (MLS) is a significant post-traumatic soft tissue injury in which the subcutaneous tissue is torn away from the underlying fascia (closed degloving), creating a cavity filled with hematoma and liquefied fat. It commonly occurs over the greater trochanter, but may also occur in the flank, buttocks and lumbodorsal regions. MLS is a rarely reported entity. The trauma surgeon and radiologist must be aware of this condition, as early diagnosis can lead to conservative management, while a delay can lead to surgical exploration. We report a case of extensive Morel-Lavallee lesion involving the left flank and thigh in a young adult. We discuss the magnetic resonance imaging findings and also describe the differential diagnoses and management options for MLS.

Breast density is considered to be one of the major risk factors in developing breast cancer. High breast density can also affect the accuracy of mammographic abnormality detection due to the breast tissue characteristics and patterns. We reviewed variants of local binary pattern descriptors to classify breast tissue which are widely used as texture descriptors for local feature extraction. In our study, we compared the classification results for the variants of local binary patterns such as classic LBP (Local Binary Pattern), ELBP (Elliptical Local Binary Pattern), Uniform ELBP, LDP (Local Directional Pattern) and M-ELBP (Mean-ELBP). A wider comparison with alternative texture analysis techniques was studied to investigate the potential of LBP variants in density classification. In addition, we investigated the effect on classification when using descriptors for the fibroglandular disk region and the whole breast region. We also studied the effect of the Region-of-Interest (ROI) size and location, the descriptor size, and the choice of classifier. The classification results were evaluated based on the MIAS database using a ten-run ten-fold cross validation approach. The experimental results showed that the Elliptical Local Binary Pattern descriptors and Local Directional Patterns extracted most relevant features for mammographic tissue classification indicating the relevance of directional filters. Similarly, the study showed that classification of features from ROIs of the fibroglandular disk region performed better than classification based on the whole breast region.

Background and Objective: SARS-CoV-2 infections present with predominant respiratory symptoms. Only a few anecdotal reports of neurological involvement have come out from India so far. Adverse neurological events following immunization (AEFI) were also reported. We present the neurological symptoms seen either in association with vaccination or COVID-19 infection during the second wave. Methods: This was a retrospective study that included consecutive COVID-19 patients’ admissions during the second wave of COVID-19 pandemic in two tertiary health care centres in Kerala. Neurological symptoms two weeks prior or thirty days after a positive status of antigen or RTPCR was termed as COVID-19-Associated Neurological Disorders (CAND) and those with neurological symptoms within one month of COVID-19 vaccination was termed as Post-Vaccinal Neurological Disorders (PVND). Results: During the study period, 1270 COVID-19 admissions were reported. We identified neurological symptoms in 42 patients (3.3%), of which 35 were CAND and 7 were PVND. Stroke was the most common (50%), followed by seizures and peripheral nervous system disorders (14.2% each). Encephalitis/demyelination (11.9%) and COVID-19-associated infections (9.5%) were also seen. Conclusion: During the SARS-CoV-2 pandemic, CAND and PVND have been emerging. Association of some of these may be fortuitous; however it is worth mentioning as pathogenic mechanisms of COVID-19 affecting various organ systems still remain unclear. Moreover, this may be helpful in future studies designing management options.

Background:Hip fracture is a devastating health-care problem in a geriatric patient, leading to high mortality and morbidity. Preoperative risk assessment in the geriatric patient is often inexact because of the difficulty in measuring their poor physiologic reserves.Aims:The primary objective was to find the association of modified frailty index (MFI) with 90-day mortality in geriatric patients who received anesthesia for fractured hip. Secondary objectives were to assess the association of preoperative waiting time with the 90-day mortality and the correlation of preexisting medical conditions with poor functional outcome among the survivors.Settings and Designs:This prospective, observational study was conducted at a tertiary care institution.Subjects and Methods:In this prospective observational study, done over a period of 1 year, 60 geriatric patients aged ≥65 years who received anesthesia for fractured hip and fulfilled selection criteria were recruited. The association of MFI with 90-day mortality and the correlation of preexisting comorbidities with poor functional outcome among the survivors were assessed.Statistical Analysis Used:Independent sample t-test, Mann–Whitney test, and odds ratio were used as applicable.Results:Total 60 patients were available for analysis as two patients dropped off from final 62 on follow up, fifty three patients survived after 90 days. MFI and 90-day mortality showed a significant direct correlation with P < 0.0001. However, no association was found between the preoperative waiting time and 90-day mortality. Preexisting medical conditions showed a significant association of dementia with total dependence afterward with a P = 0.02.Conclusion:There is significant statistical correlation of MFI with the 90-day mortality in the geriatric hip-fractured patients undergoing surgery.

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