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Mohammad Abd Alkhalik Basha, Mohamad Zakarya AlAzzazy, Ayman F Ahmed, Hala Y Yousef, Samar Mohamad Shehata, Dena Abd El Aziz El Sammak, Talaat Fathy, Ahmed Ali Obaya, Eman H Abdelbary
OBJECTIVE: To compare diagnostic performance and agreement between CT, MRI and combined CT/MRI in reference to LI-RADS classification system to categorize hepatic observations detected in hepatic patients during screening ultrasound. METHODS: 240 patients with 296 liver observations detected during ultrasound surveillance underwent hepatic CT and MRI examinations, histopathology, and clinical and radiological follow-up. Using LI-RADS v2014, six radiologists evaluated the observations independently and assigned a LI-RADS category to each observation using CT, MRI and combined CT/MRI...
January 24, 2018: European Radiology
Cynthia Santillan, Kathryn Fowler, Yuko Kono, Victoria Chernyak
The Liver Imaging Reporting and Data System (LI-RADS) was designed to standardize the interpretation and reporting of observations seen on studies performed in patients at risk for development of hepatocellular carcinoma (HCC). The LI-RADS algorithm guides radiologists through the process of categorizing observations on a spectrum from definitely benign to definitely HCC. Major features are the imaging features used to categorize observations as LI-RADS 3 (intermediate probability of malignancy), LIRADS 4 (probably HCC), and LI-RADS 5 (definite HCC)...
August 21, 2017: Abdominal Radiology
M Abd Alkhalik Basha, D Abd El Aziz El Sammak, A A El Sammak
AIM: To estimate the diagnostic accuracy of the Liver Imaging-Reporting and Data System (LI-RADS) with computed tomography (CT) for diagnosing hepatic nodules (10-20 mm) detected in cirrhotic livers. MATERIALS AND METHODS: Fifty-five patients with liver cirrhosis and a solitary nodule (10-20 mm in diameter) detected via ultrasound surveillance, underwent hepatic CT and fine-needle biopsy. All the CT images were analysed and the lesions were categorised into five categories according to the LI-RADS...
October 2017: Clinical Radiology
Stefan T Siedlikowski, Ania Z Kielar, Eleanor L Ormsby, Bijan Bijan, Christopher Kagay
Since its introduction in 2011, Liver Imaging Reporting and Data System (LI-RADS) has become an increasingly utilized method for radiologists to categorize lesions for hepatocellular carcinoma (HCC) in patients at risk (American College of Radiology, 2016). This overview article presents insight into methods of incorporating LI-RADS into an existing clinical practice, highlighting concrete ways to establish this system as a mainstay in any radiologist's evidence-based armamentarium...
January 2018: Abdominal Radiology
Robert M Hicks, Judy Yee, Michael A Ohliger, Stefanie Weinstein, Jeffrey Kao, Nabia S Ikram, Thomas A Hope
PURPOSE: To evaluate the performance of diffusion-weighted imaging (DWI) and T2-weighted single shot fast spin-echo (SSFSE) imaging of the liver in the detection of hepatocellular carcinoma (HCC) in reference to the LI-RADS classification system. METHODS: MR images of 40 patients with 68 LI-RADS grade 3-5 lesions were analyzed. Two readers independently reviewed sequences and characterized lesion signal intensity, followed by consensus evaluation. CE-MRI served as reference standard...
September 2016: Magnetic Resonance Imaging
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