Mohammed Abed
@ndsu.edu
North Dakota State University
Dr. Abed is a graduate student at the North Dakota State University.
Dr. Abed is a certified reviewer in many journals and has 10 publications as of July 2022. He is open to contributing to the scientific community.
EDUCATION
Master of Public Health - MPH student
North Dakota State University
University of Anbar - College of Medicine, Iraq
Bachelor of Medicine & Surgery "MBChB" degree
Scopus Publications
Scopus Publications
Thomas Weikert, Harold I. Litt, William H. Moore, Mohammed Abed, Lea Azour, Abass M. Noor, Liene Friebe, Nathaniel Linna, Halid Ziya Yerebakan, Yoshihisa Shinagawa,et al.
Elsevier BV
Nadav Shapira, Kevin Donovan, Kai Mei, Michael Geagan, Leonid Roshkovan, Grace J Gang, Mohammed Abed, Nathaniel B Linna, Coulter P Cranston, Cathal N O'Leary,et al.
Oxford University Press (OUP)
Abstract In modern clinical decision-support algorithms, heterogeneity in image characteristics due to variations in imaging systems and protocols hinders the development of reproducible quantitative measures including for feature extraction pipelines. With the help of a reader study, we investigate the ability to provide consistent ground-truth targets by using patient-specific 3D-printed lung phantoms. PixelPrint was developed for 3D-printing lifelike computed tomography (CT) lung phantoms by directly translating clinical images into printer instructions that control density on a voxel-by-voxel basis. Data sets of three COVID-19 patients served as input for 3D-printing lung phantoms. Five radiologists rated patient and phantom images for imaging characteristics and diagnostic confidence in a blinded reader study. Effect sizes of evaluating phantom as opposed to patient images were assessed using linear mixed models. Finally, PixelPrint's production reproducibility was evaluated. Images of patients and phantoms had little variation in the estimated mean (0.03–0.29, using a 1–5 scale). When comparing phantom images to patient images, effect size analysis revealed that the difference was within one-third of the inter- and intrareader variabilities. High correspondence between the four phantoms created using the same patient images was demonstrated by PixelPrint’s production repeatability tests, with greater similarity scores between high-dose acquisitions of the phantoms than between clinical-dose acquisitions of a single phantom. We demonstrated PixelPrint's ability to produce lifelike CT lung phantoms reliably. These phantoms have the potential to provide ground-truth targets for validating the generalizability of inference-based decision-support algorithms between different health centers and imaging protocols and for optimizing examination protocols with realistic patient-based phantoms. Classification: CT lung phantoms, reader study
Mohammed Abed, Omar Muayad Sultan, and Haider Al‐Tameemi
Wiley
Lipomas of the uterus and of the urinary bladder are rare. Their coexistence is even rarer Ultrasound can play a key role in their diagnosis. We report a case of coexisting of the uterus and the urinary bladder in a 61‐year‐old woman.
Haider Rasheed and Mohammed Abed
Wiley
Extra-pulmonary tuberculosis now accounts for 20% of registered tuberculosis (TB) patients. Any part of the gastrointestinal tract may be involved with tuberculosis. Intestinal TB represents 2% of the overall cases. Intestinal TB is a variant of abdominal TB, and the latter represents 15% of extra-pulmonary TB. Abdominal TB can involve the intestine, peritoneum, abdominal lymph nodes, or solid abdominal organs. According to the World Health Organization, as of 2014, the Eastern Mediterranean geographical region, including Iraq, accounted for 25% of the global TB burden. Iraq contributed to the list of countries with a high tuberculosis burden, with approximately 4000 deaths and 20000 patients annually. The intestinal TB still represents a diagnostic challenge since its presentation shares many similarities with other conditions such as intestinal lymphoma and inflammatory bowel disease. As a result, intestinal TB is often missed or diagnosed late, which ultimately increases the morbidity and mortality due to delay in treatment initiation. In one study, it has been reported that up to 60% to 70% of the misdiagnosis rate. Ultrasound is a cheap and widely available modality to assess and possibly diagnose intestinal TB. It can determine the extent of bowel involvement, mucosal changes, and any associated lymphadenopathy. In this case, we presented a case of intestinal TB in our hospital with a distinct sonographic pattern.
Omar Muayad Sultan, Dhia Mahdey Alghazali, Haider Al-Tameemi, Mohammed Abed, Dhaffer Abdullah Hawiji, Muthana Naser Abu Ghniem, Laith Al-Obaidi, and Raad Hefdhi Abedtwfeq
Bentham Science Publishers Ltd.
Background: COVID-19 has emerged recently and become of global concern. Computed tomography (CT) plays a vital role in the diagnosis. Objectives: To characterize the pulmonary CT changes and distributions of COVID-19 infection in regard to different age groups. Methods: Chest CT scan of 104 symptomatic patients with COVID-19 infection, from 7 Iraqi isolation centers were retrospectively analyzed between March 10th and April 5th, 2020. Patients were sub-classified according to their ages to three groups (young adult:20-39years, middle age:40-59years and old age:60- 90years). Results: The most common findings were ground-glass opacities (GGO) (92.3%, followed by consolidation (27.9%), bronchovascular thickening (15.4%), and crazy-paving (12.5%). Less commonly, there were tree-inbud (6.7%), pulmonary nodules (5.8%), bronchiectasis (3.8%), pleural effusion (1.9%), and cavitation (1%). There were no hallo sign, reversed hallo sign, nor mediastinal lymphadenopathy. Pulmonary changes were unilateral in 16.7% and bilateral in 83.3%, central in 14.6%, peripheral in 57.3%, and diffuse (central and peripheral) in 28.1%. Most cases showed multi-lobar changes (70.8%), while the lower lobe was more commonly involved (17.7%) than middle lobe/lingula (8.3%) and upper lobe (3.1%). In unilateral involvement, changes were more on the right (68.8%) than left (31.2%) side. Compared with middle and old age groups, young adult patients showed significantly lesser frequency of consolidation (17% vs. 13.3% and 37%), diffuse changes 28.1% (14.2% vs. 35.3% and 40.5%), bilateral disease (71.4% vs. 94.1% and 85.2%), and multi-lobar involvement (51.4% vs. 82.4% and 81.4%) respectively. Conclusion: Bilateral and peripheral GGO were the most frequent findings with the right side and lower lobar predilection. Extent and pattern seem to be age-related.
Omar Muayad Sultan, Haider Al-Tameemi, Dhia Mahdey Alghazali, Mohammed Abed, Muthana Naser Abu Ghniem, Dhaffer Abdullah Hawiji, Enas Abdulhussain Alwateefee, Hayder Dhajir Abbas Shubbar, Amal Hussein Tauah, Nisreen Mohammed Ibraheem,et al.
Springer Science and Business Media LLC
Abstract Background Coronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Chest computed tomography (CT) plays an essential role in the evaluation of COVID-19. This retrospective study aims to determine and compare the pulmonary changes in Iraqi patients with COVID-19 disease across the first two weeks after onset of symptoms using computerized tomography (CT) scan. Ninety-six patients with COVID-19 disease were enrolled in this study. Patients were divided into two groups according to the duration of symptoms (the first group has been scanned within the first week of presentation while the second group has been scanned in the second week). Results The CT findings in the first and second group were as follows: ground glass opacity (GGO) were 94.3% vs. 88.5%, consolidation were 25.7% vs. 34.6%, broncho vascular thickening were 18.6% vs. 7.7%, crazy paving appearance were 15.7% vs. 3.8%, tree-in-bud appearance were 4.3% vs. 10.7%, pulmonary nodules were 5.1% vs. 7.7%, and bronchiectasis were 5.5% vs. 7.7%. Pleural effusion and cavitation were seen only in the first group (2.9% and 1.4% respectively). The distribution of CT changes across the two groups were as follows: bilateral changes were 85.7% vs. 100%; central distribution were 11.4% vs. 11.5%; peripheral distribution were 64.3% vs. 42.3%, and diffuse (central and peripheral) distribution were 24.3% vs. 46.2% while multilobar distribution were 70% vs. 80.8%. Conclusion The type, extent, and distributions of pulmonary manifestations associated with COVID-19 infection are significantly different between the two groups who have been scanned in different stages of the disease.
Mohammad Rashidul Hashan, Khaled Mosaad Elhusseiny, Le Huu-Hoai, Thuan Minh Tieu, Soon Khai Low, Le Huu Nhat Minh, Thai Le Ba Nghia, Le Quang Loc, Mai Nhu Y, Peter Samuel Eid,et al.
Elsevier BV
RECENT SCHOLAR PUBLICATIONS
Industry, Institute, or Organisation Collaboration
Hospital of the University of Pennsylvania
Department of Radiology - Perelman School of Medicine