BackgroundCoronavirus disease 2019 (COVID-19) has accounted for over 352 million cases and five million deaths globally. Although it affects populations across all nations, developing or transitional, of all genders and ages, the extent of the specific involvement is not very well known. This study aimed to analyze and determine how different were the first and second waves of the COVID-19 pandemic by assessing computed tomography severity scores (CT-SS). MethodologyThis was a retrospective, cross-sectional, observational study performed at a tertiary care Institution. We included 301 patients who underwent CT of the chest between June and October 2020 and 1,001 patients who underwent CT of the chest between February and April 2021. All included patients were symptomatic and were confirmed to be COVID-19 positive. We compared the CT-SS between the two datasets. In addition, we analyzed the distribution of CT-SS concerning age, comorbidities, and gender, as well as their differences between the two waves of COVID-19. Analysis was performed using the SPSS version 22 (IBM Corp., Armonk, NY, USA). The artificial intelligence platform U-net architecture with Xception encoder was used in the analysis. ResultsThe study data revealed that while the mean CT-SS did not differ statistically between the two waves of COVID-19, the age group most affected in the second wave was almost a decade younger. While overall the disease had a predilection toward affecting males, our findings showed that females were more afflicted in the second wave of COVID-19 compared to the first wave. In particular, the disease had an increased severity in cases with comorbidities such as hypertension, diabetes mellitus, bronchial asthma, and tuberculosis. ConclusionsThis assessment demonstrated no significant difference in radiological severity score between the two waves of COVID-19. The secondary objective revealed that the two waves showed demographical differences. Hence, we iterate that no demographical subset of the population should be considered low risk as the disease manifestation was heterogeneous.

Paragangliomas are chromaffin cell tumors that arise from neural crest cells and are extremely rare. Multiple paragangliomas in different locations of the neck and abdomen in the same patient are highly uncommon. We give the instance of a hypertensive male aged 42 years with a history of breathlessness, chest pain, and excessive perspiration for 10 days. Computed tomography of neck and abdomen revealed solid homogenous intensely enhancing masses in the left adrenal of size 64 x 45 x 52 mm [AP x TR x CC (anteroposterior x transverse x craniocaudal)], left paraaortic region of size 41 x 28 x 29 mm [CC x TR x AP (craniocaudal x transverse x anteroposterior)] and at the division of the left common carotid artery of size 17 x 15 x 11 mm (CC x TR x AP). The patient underwent a diagnostic laparotomy and resected tumors were diagnosed as paragangliomas. The possibility of paragangliomas should always be considered when hypervascular masses are encountered in certain locations of the body. Presence of such a lesion must prompt further imaging of the common sites of paragangliomas for the detection of occult synchronous paragangliomas. Routine screening at timely intervals in patients previously diagnosed with paraganglioma may aid in the earlier detection of metachronous tumors.

Aim: To evaluate the utility of susceptibility-weighted imaging (SWI) sequence in stroke imaging and assess supplemental information provided by SWI in an acute stroke scenario. Materials and methods: In this study, the appearance of cerebrovascular stroke on the SWI images were analyzed in 50 patients who presented with acute-onset neurological symptoms. Results: Brain MRI with SWI was performed on 50 patients presenting with acute neurological symptoms. The majority were males, 32/50 (64%) and 18/50 (36%) were females. Most of the patients were in the age group > 60 years (36%), followed by 50-60 years (22%). Most of the patients had bilateral pathology, 20 (40%). The majority of patients had supratentorial lesions 34 (68%). Among 50 patients, the majority of patients had arterial stroke 20 (40%) and cerebral venous sinus thrombosis (CVST) 20 (40%) followed by amyloid angiopathy five (10%), and five (10%) had hypertensive microhemorrhage. Among the 20 patients with arterial stroke, the majority had middle cerebral artery (MCA) thrombosis 10 (50%) and among the 20 patients with venous thrombosis, eight (40%) patients had hemorrhagic infarcts. SWI was better as compared to computed tomography (CT) (P<0.05) in the detection of hemorrhagic transformation of arterial infarct, cerebral hemorrhagic venous sinus thrombosis, hemorrhagic venous infarct, hypertensive microhemorrhage, and cerebral amyloid angiopathy. Conclusion: SWI is a useful imaging sequence that provides additional information on stroke patients. SWI requires only an additional three-four minutes to perform and can be easily incorporated into standard stroke protocol. SWI can identify various features such as hemorrhage, intraarterial thrombus, or concomitant microbleeds that are of prognostic value and affect therapeutic decisions.

The most common congenital renal fusion anomaly is the horseshoe kidney (HSK) occurring in about 1 in 600–700 individuals in the Indian population. HSKs are associated with problems such as renal stones, obstruction of uretero-pelvic junction causing stasis, and infection due to ectopic location of the kidneys, malrotation of the kidneys, and vascular changes. In general, normally developed kidneys have more incidents of renal cell carcinoma (RCC) as compared to HSKs. The major issue arises during surgery of HSK due to their altered anatomy and aberrant blood supply. We present a case of HSK with RCC located in the isthmus of a 43-year-old woman.