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Okasha HH, Gadour E, Atalla H, AbdEl-Hameed OA, Ezzat R, Alzamzamy AE, Ghoneem E, Matar RA, Hassan Z, Miutescu B, Qawasmi A, Pawlak KM, Elmeligui A. Practical approach to linear endoscopic ultrasound examination of the gallbladder. World J Radiol 2024; 16:184-195. [PMID: 38983839 PMCID: PMC11229944 DOI: 10.4329/wjr.v16.i6.184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 04/03/2024] [Accepted: 05/28/2024] [Indexed: 06/26/2024] Open
Abstract
The gallbladder (GB) is a susceptible organ, prone to various pathologies that can be identified using different imaging techniques. Transabdominal ultrasound (TUS) is typically the initial diagnostic method due to its numerous well-established advantages. However, in cases of uncertainty or when a definitive diagnosis cannot be established, computed tomography (CT) or magnetic resonance imaging may be employed to provide more detailed information. Nevertheless, CT scans may sometimes offer inadequate spatial resolution, which can limit the differentiation of GB lesions, particularly when smaller yet clinically relevant abnormalities are involved. Conversely, endoscopic ultrasound (EUS) provides higher frequency compared to TUS, superior spatial resolution, and the option for contrast-enhanced harmonic imaging, enabling a more comprehensive examination. Thus, EUS can serve as a supplementary tool when conventional imaging methods are insufficient. This review will describe the standard EUS examination of the GB, focusing on its endosonographic characteristics in various GB pathologies.
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Affiliation(s)
- Hussein Hassan Okasha
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, Kasr Al-Aini School of Medicine, Cairo University, Cairo 11562, Egypt
| | - Eyad Gadour
- Department of Gastroenterology and Hepatology, King Abdulaziz Hospital-National Guard, Ahsa 31982, Saudi Arabia
- Department of Medicine, School of Medicine, Zamzam University College, Khartoum 11113, Sudan
| | - Hassan Atalla
- Department of Internal Medicine, Hepatology and Gastroenterology Unit, Faculty of Medicine, Mansoura University, Mansoura 35516, Egypt
| | - Omar AbdAllah AbdEl-Hameed
- Department of Internal Medicine, Hepatology and Gastroenterology Unit, Faculty of Medicine, Mansoura University, Mansoura 35516, Egypt
| | - Reem Ezzat
- Department of Internal Medicine, Faculty of Medicine, Assiut University, Assiut 71511, Egypt
| | - Ahmed Elsayed Alzamzamy
- Department of Gastroenterology and Heptology, Maadi Armed Forces Medical Complex, Military Medical Academy, Cairo 11728, Egypt
| | - Elsayed Ghoneem
- Department of Internal Medicine, Hepatology and Gastroenterology Unit, Faculty of Medicine, Mansoura University, Mansoura 35516, Egypt
| | - Rasha Ahmad Matar
- Department of Gastroenterology and Advance Endoscopy, Sultant Qaboos Comprehensive Cancer Care and Research Centre, Muscat 0961, Oman
| | - Zeinab Hassan
- Department of Internal Medicine, Stockport Hospitals NHS Foundation Trust, Manchester SK2 7JE, United Kingdom
| | - Bogdan Miutescu
- Department of Gastroenterology and Hepatology, Victor Babes University of Medicine and Pharmacy, Timisoara 300041, Romania
- Advanced Regional Research Centre in Gastroenterology and Hepatology, Victor Babes University of Medicine and Pharmacy, Timisoara 30041, Romania
| | - Ayman Qawasmi
- Department of Gastroenterology, Al-Makassed Islamic Charitable Society Hospital, Cairo 11124, Egypt
| | - Katarzyna M Pawlak
- Division of Gastroenterology, St. Michael’s Hospital, University of Toronto, Toronto M5B 1W8, Canada
| | - Ahmed Elmeligui
- Department of Gastroenterology, Southend University Hospital, Essex SS2 6XT, United Kingdom
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Deep Learning-Based Ultrasound Combined with Gastroscope for the Diagnosis and Nursing of Upper Gastrointestinal Submucous Lesions. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2022; 2022:1607099. [PMID: 35495895 PMCID: PMC9042621 DOI: 10.1155/2022/1607099] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 03/30/2022] [Accepted: 04/01/2022] [Indexed: 01/18/2023]
Abstract
The study focused on the diagnostic value of deep learning-based ultrasound combined with gastroscope examination for upper gastrointestinal submucous lesions and nursing. A total of 104 patients with upper gastrointestinal submucous lesions diagnosed in hospital were selected as the research subjects. In this study, the feed forward denoising convulsive neural network (DnCNN) was improved, and the n-DnCNN model was designed and applied to ultrasonic image processing. The peak signal-to-noise ratio (PSNR) and structural similarity (SSIM) of Gaussian filtering, NL-means, and DnCNN were then compared with n-DnCNN. Subsequently, the distribution and types of submucosal lesions in different parts of the upper digestive tract were analyzed by ultrasound combined with gastroscope and gastroscope examination alone, and the diagnostic performance of this method was evaluated. The results showed that the average PSNR and SSIM of the n-DnCNN model were 33.01 dB and 0.87, respectively, which were significantly higher than GF, NL-means, and DnCNN algorithms, and the difference was statistically significant (
). Of the 116 lesions detected, 49 were located in the esophagus (42.24%), 52 in the stomach (44.83%), and 15 in the duodenum (12.93%). Of the 49 esophageal submucosal lesions, 6.12% were located in the upper esophagus, 55.1% in the middle esophagus, and 38.79% in the lower esophagus, and the difference was statistically significant (
). Of the gastric submucosal lesions, the lesions in the gastric cardia were significantly less than in other parts, and the difference was statistically significant (
). The accuracy of ultrasound combined with gastroscope in the diagnosis of upper gastrointestinal submucous episodes was 82.32%, higher than that of gastroscope examination, and the difference was statistically significant (
). In conclusion, the n-DnCNN model has a good noise reduction effect, and the obtained image is of high quality. Ultrasound combined with gastroscope examination can effectively improve the accuracy of diagnosis of upper gastrointestinal submucous lesions.
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