scholarly journals Significance of ileal and/or cecal wall thickening on abdominal computed tomography in a tropical country

JGH Open ◽  
2018 ◽  
Vol 3 (1) ◽  
pp. 46-51 ◽  
Author(s):  
Amit Kumar ◽  
Surinder S Rana ◽  
Ritambhra Nada ◽  
Naveen Kalra ◽  
Ravi K Sharma ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Wall Thickening ◽  
Tropical Country ◽  
Abdominal Computed Tomography ◽  
Cecal Wall

Mo1748 Ileocecal Wall Thickening on Computed Tomography: Clinical Relevance in a Tropical Country

2016 ◽  
Vol 150 (4) ◽  
pp. S770
Author(s):  
Amit Kumar ◽  
Surinder S. Rana ◽  
Puneet Chhabra ◽  
Vishal Sharma ◽  
Ritambhra Nada ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Clinical Relevance ◽  
Wall Thickening ◽  
Tropical Country

The Significance of Bowel Wall Thickening on Abdominal Computed Tomography at an Australian Hospital

2016 ◽  
Vol 111 ◽  
pp. S77-S78
Author(s):  
Nayana George ◽  
Saad Khan ◽  
Askin Gunes ◽  
Paul Machado ◽  
Jordan Bade-Boon ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Bowel Wall ◽  
Wall Thickening ◽  
Abdominal Computed Tomography ◽  
Bowel Wall Thickening ◽  
Australian Hospital

scholarly journals Clinical Significance of the Large Intestinal Wall Thickening Detected by Abdominal Computed Tomography

2012 ◽  
Vol 60 (5) ◽  
pp. 300 ◽  
Author(s):  
Jung Soo Lee ◽  
Joon Hyun Cho ◽  
Kyeong Ok Kim ◽  
Si Hyung Lee ◽  
Byung Ik Jang
Keyword(s):  
Computed Tomography ◽  
Clinical Significance ◽  
Intestinal Wall ◽  
Wall Thickening ◽  
Abdominal Computed Tomography

scholarly journals Predicting the Presence of an Accessory Hepatic Vein Using Abdominal Computed Tomography

2017 ◽  
Vol 35 (1) ◽  
pp. 21-25 ◽  
Author(s):  
Hyung Soo Kim ◽  
Chang Hee Lee ◽  
Seong Hyun Kim ◽  
Jeong Woo Kim ◽  
Cheol Min Park ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Hepatic Vein ◽  
Abdominal Computed Tomography ◽  
Accessory Hepatic Vein

scholarly journals Role of MSCT in the diagnosis of perforated gall bladder (a retrospective study)

2020 ◽  
Vol 51 (1) ◽  
Author(s):  
Mohamed M. Harraz ◽  
Ahmed H. Abouissa
Keyword(s):  
Computed Tomography ◽  
Retrospective Study ◽  
Gall Bladder ◽  
Acute Cholecystitis ◽  
Acute Diverticulitis ◽  
Wall Thickening ◽  
Free Fluid ◽  
Iodinated Contrast ◽  
Contrast Enhanced

Abstract Background Although gall bladder perforation (GBP) is not common, it is considered a life-threating condition, and the possibility of occurrence in cases of acute cholecystitis must be considered. The aim of this study was to assess the role of multi-slice computed tomography (MSCT) in the assessment of GBP. Results It is a retrospective study including 19 patients that had GBP out of 147, there were 11 females (57.8%) and 8 males (42.1%), aged 42 to 79 year (mean age 60) presented with acute abdomen or acute cholecystitis. All patients were examined with abdominal ultrasonography and contrast-enhanced abdominal MSCT after written informed consent was obtained from the patients. This study was between January and December 2018. Patients with contraindications to contrast-enhanced computed tomography (CT) (pregnancy, acute kidney failure, or allergy to iodinated contrast agents) who underwent US only were excluded. Patients with other diagnoses, such as acute diverticulitis of the right-sided colon or acute appendicitis, were excluded. The radiological findings were evaluated such as GB distention; stones; wall thickening, enhancement, and defect; pericholecystic free fluid or collection; enhancement of liver parenchyma; and air in the wall or lumen. All CT findings are compared with the surgical results. Our results revealed that the most important and diagnostic MSCT finding in GBP is a mural defect. Nineteen patients were proved surgically to have GBP. Conclusion GBP is a rare but very serious condition and should be diagnosed and treated as soon as possible to decrease morbidity and mortality. The most accurate diagnostic tool is the CT, MSCT findings most specific and sensitive for the detection of GBP and its complications.

scholarly journals Deep learning for end-to-end kidney cancer diagnosis on multi-phase abdominal computed tomography

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Kwang-Hyun Uhm ◽  
Seung-Won Jung ◽  
Moon Hyung Choi ◽  
Hong-Kyu Shin ◽  
Jae-Ik Yoo ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Deep Learning ◽  
Kidney Cancer ◽  
Renal Tumor ◽  
Renal Tumors ◽  
Abdominal Computed Tomography ◽  
Wide Range ◽  
End To End ◽  
Multi Phase ◽  
Histologic Subtypes

AbstractIn 2020, it is estimated that 73,750 kidney cancer cases were diagnosed, and 14,830 people died from cancer in the United States. Preoperative multi-phase abdominal computed tomography (CT) is often used for detecting lesions and classifying histologic subtypes of renal tumor to avoid unnecessary biopsy or surgery. However, there exists inter-observer variability due to subtle differences in the imaging features of tumor subtypes, which makes decisions on treatment challenging. While deep learning has been recently applied to the automated diagnosis of renal tumor, classification of a wide range of subtype classes has not been sufficiently studied yet. In this paper, we propose an end-to-end deep learning model for the differential diagnosis of five major histologic subtypes of renal tumors including both benign and malignant tumors on multi-phase CT. Our model is a unified framework to simultaneously identify lesions and classify subtypes for the diagnosis without manual intervention. We trained and tested the model using CT data from 308 patients who underwent nephrectomy for renal tumors. The model achieved an area under the curve (AUC) of 0.889, and outperformed radiologists for most subtypes. We further validated the model on an independent dataset of 184 patients from The Cancer Imaging Archive (TCIA). The AUC for this dataset was 0.855, and the model performed comparably to the radiologists. These results indicate that our model can achieve similar or better diagnostic performance than radiologists in differentiating a wide range of renal tumors on multi-phase CT.

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