scholarly journals Abdominal Imaging Utilization during the First COVID-19 Surge and Utility of Abdominal MRI

Tomography ◽  
2021 ◽  
Vol 7 (4) ◽  
pp. 972-979
Author(s):  
Mark A. Anderson ◽  
Reece J. Goiffon ◽  
Simon Lennartz ◽  
Rajesh Bhayana ◽  
Avinash Kambadakone

We sought to determine relative utilization of abdominal imaging modalities in coronavirus disease 2019 (COVID-19) patients at a single institution during the first surge and evaluate whether abdominal magnetic resonance imaging (MRI) changed diagnosis and management. 1107 COVID-19 patients who had abdominal imaging were analyzed for modality and imaging setting. Patients who underwent abdominal MRI were reviewed to determine impact on management. Of 2259 examinations, 80% were inpatient, 14% were emergency, and 6% were outpatient consisting of 55% radiograph (XR), 31% computed tomography (CT), 13% ultrasound (US), and 0.6% MRI. Among 1107 patients, abdominal MRI was performed in 12 within 100 days of positive SARS-CoV-2 PCR. Indications were unrelated to COVID-19 in 75% while MRI was performed for workup of acute liver dysfunction in 25%. In 1 of 12 patients, MRI resulted in change to management unrelated to COVID-19 diagnosis. During the first surge of COVID-19 at one institution, the most common abdominal imaging examinations were radiographs and CT followed by ultrasound with the majority being performed as inpatients. Future COVID-19 surges may place disproportionate demands on inpatient abdominal radiography and CT resources. Abdominal MRI was rarely performed and did not lead to change in diagnosis or management related to COVID-19 but needs higher patient numbers for accurate assessment of utility.

2022 ◽  
Author(s):  
SEVCAN SARIKAYA ◽  
MUHSİN NUH AYBAY

Abstract Objective: Pregnancy of Rudimentary Horn is a type of ectopic pregnancy, that is recognized almost always during surgical treatment of a rupture of the rudimentary horn. This is an obstetric case diagnosed preoperatively by magnetic resonance imaging (MRI).Case: We report the case of a 19-years-old primigravida patient with rupture of rudimentary horn in 26th gestational week. The patient presented with sudden onset severe abdominal pain in the emergency room. Intraabdominal free fluid is detected. To evaluate the etiology of free fluid and location of the gestational sac, an abdominal magnetic resonance imaging (MRI) scan was planned. The decision of emergent laparotomy is made because of sonographic detection of abdominal excessive -concentrated- free fluid, abdominal tenderness, and 2 points decrease of hemoglobin value in the control hemogram. A rudimentary horn pregnancy and fundal rupture of the rudimentary part of the uterus are diagnosed during the surgical procedure. A baby -live- weighing 450 grams was delivered. The ruptured rudimentary horn and same-sided tuba uterina were surgically removed.Conclusion: Rudimentary horn pregnancy is a rare ectopic pregnancy. Diagnosis is difficult clinically, even with diagnostic imaging modalities. Identifying both cornuas systematically in all patients increases the detection rate. The absence of continuity between the gestational sac’s lumen and the cervical canal on imaging is an important finding. Due to the serious maternal and fetal complications, its detection at an early week may be life-saving.


2021 ◽  
Vol 10 (02) ◽  
pp. 65-72
Author(s):  
B Sudha Devi ◽  
D.S Misbha

In recent years, obesity is highly prevalent and is related with increased risk of many diseases. The distribution of abdominal adipose tissue plays a major role to assess central obesity. The basic objective of this study is to develop a novel method for automatic segmentation of visceral adipose tissue(VAT) and subcutaneous adipose tissue(SAT) from abdominal Magnetic resonance imaging(MRI) slices which is implemented in two steps. First, clustering of image is done to classify MR image into adipose tissue and non-adipose tissue. Second, after clustering the image, segmentation is done to separate VAT and SAT by a convolutional deep neural network. Sixty five MR images have been used in this study where deep learning techniquet have been adopted for the segmentation of VAT and SAT. The proposed and the manual measurements produced the Dice scores of 0.97 and 0.96 for SAT and VAT respectively. The experimental results show that the deep learning method produces better segmentation results with high accuracy.


Author(s):  
Al Shaimaa Fathi Elshetry

Abstract Background The subdiaphragmatic kidney is a positional variant of the uncommon cephalad renal ectopia, whereas renal malrotation refers to the anomalous renal hilar position. Both anomalies are rare, possibly under-reported, discovered incidentally on radiological examinations since patients are often asymptomatic. Case presentation This case report presents a unique renal anatomical variation in a 71-year-old female patient. A bilateral subdiaphragmatic renal ectopia coupled with right-sided renal malrotation, discovered accidentally on abdominal ultrasound (US), and confirmed by abdominal magnetic resonance imaging (MRI). Conclusions The presented case of bilateral subdiaphragmatic kidneys associated with right-sided renal malrotation is rare and not previously described in the literature. Radiologists must be familiar with these renal anomalies that can be discovered on imaging performed for other indications. MRI can provide more anatomical data compared to US.


2021 ◽  
Vol 12 (3) ◽  
pp. 001-004
Author(s):  
Filipa Ribeiro Lucas ◽  
Soraia Proença e Silva ◽  
João Gigante

A 62 years-old Caucasian male, who had a consumptive condition associated with recurrent episodes of abdominal pain, was evaluated in a Gastroenterology consultation. Physical examination was quite innocent and the following imaging exams were performed. A Computed Tomography (CT) showed a thin gallbladder and chronic pancreatitis signs with pancreatic intraductal stones, dominant at tail and body, associated with pancreatic tail atrophy. An abdominal-Magnetic Resonance Imaging (MRI) showed an abnormal pancreatic parenchyma, a mild Wirsung dilatation and an unknown pancreatic head stenosis etiology. Therefore, to clarify the pancreatic stenosis, an echo-endoscopy (EUS) was performed. This exam showed a 10-mmstone associated with a focal narrowing in the head/tail transition. A pancreatoscopy-guided holmium laser using a mini-endoscope inserted into the pancreatic duct successfully broke the impacted stone and cleared the obstruction, without complications. After that, endotherapy with plastic stents was repeatedly done, during the following 6 months. After endoscopic treatment, the patient recovered quite well, without any symptoms, without pancreatic stenosis and higher quality of life.


eLife ◽  
2021 ◽  
Vol 10 ◽  
Author(s):  
Yi Liu ◽  
Nicolas Basty ◽  
Brandon Whitcher ◽  
Jimmy D Bell ◽  
Elena P Sorokin ◽  
...  

Cardiometabolic diseases are an increasing global health burden. While socioeconomic, environmental, behavioural, and genetic risk factors have been identified, a better understanding of the underlying mechanisms is required to develop more effective interventions. Magnetic resonance imaging (MRI) has been used to assess organ health, but biobank-scale studies are still in their infancy. Using over 38,000 abdominal MRI scans in the UK Biobank, we used deep learning to quantify volume, fat, and iron in seven organs and tissues, and demonstrate that imaging-derived phenotypes reflect health status. We show that these traits have a substantial heritable component (8–44%) and identify 93 independent genome-wide significant associations, including four associations with liver traits that have not previously been reported. Our work demonstrates the tractability of deep learning to systematically quantify health parameters from high-throughput MRI across a range of organs and tissues, and use the largest-ever study of its kind to generate new insights into the genetic architecture of these traits.


2019 ◽  
Vol 23 (04) ◽  
pp. 405-418 ◽  
Author(s):  
James F. Griffith ◽  
Radhesh Krishna Lalam

AbstractWhen it comes to examining the brachial plexus, ultrasound (US) and magnetic resonance imaging (MRI) are complementary investigations. US is well placed for screening most extraforaminal pathologies, whereas MRI is more sensitive and accurate for specific clinical indications. For example, MRI is probably the preferred technique for assessment of trauma because it enables a thorough evaluation of both the intraspinal and extraspinal elements, although US can depict extraforaminal neural injury with a high level of accuracy. Conversely, US is probably the preferred technique for examination of neurologic amyotrophy because a more extensive involvement beyond the brachial plexus is the norm, although MRI is more sensitive than US for evaluating muscle denervation associated with this entity. With this synergy in mind, this review highlights the tips for examining the brachial plexus with US and MRI.


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