Andres Ayoob
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Andres Ayoob has a total of 32 co-authors. Here are the top co-authors by number of shared publications:
- James T. Lee
University of Kentucky
4 shared publications - Joseph W. Owen
Department of Radiology, University of Kentucky, Lexington, USA
4 shared publications James T. Lee
2 shared publicationsJoseph W. Owen
2 shared publications- Aaron M. Bisig
Department of Radiology, University of Kentucky College of Medicine, 800 Rose St., Lexington, KY, 40536, USA.
1 shared publication Aman Khurana
From the Department of Radiology, University of Kentucky, 800 Rose St, Rm HX307, Lexington, KY 40536 (A.G., C.W., J.L., J.O., A.A.); University of Kentucky College of Medicine, Lexington, Ky (M.F.); and Department of Radiology, University of California–San Diego, San Diego, Calif (A.K.).
1 shared publication
Latest Publications
- 20 June 2026
- Published by Springer Nature in Abdominal Radiology
- p. 1-15
A systematic imaging approach to pathology within the retroperitoneal space
Retroperitoneal diseases encompass a broad and heterogeneous spectrum, ranging from benign conditions to aggressive malignancies. Clinical presentation is often nonspecific, and physical examination is limited by the deep location of the retroperitoneum. Consequently, cross-sectional imaging—primarily computed tomography (CT) and magnetic resonance imaging (MRI)—is central to detection, characterization, and staging, playing a key role in guiding management and surgical planning. Imaging evaluation is challenging due to overlapping appearances, difficulty determining the site of origin and extent of disease in large or infiltrative processes, and the complex, incompletely understood retroperitoneal anatomy. A structured, anatomy-based interpretive framework fosters improved diagnostic accuracy. Initial assessment focuses on localization and lesion composition. Distinguishing between pathology arising from retroperitoneal organs and primary retroperitoneal processes, combined with characterization of composition (e.g., solid, cystic/fluid, fat, calcification, gas, or mixed), allows generation of a focused differential diagnosis. Integration of key imaging and clinical features then refines and prioritizes diagnostic considerations. Common pitfalls in interpretation are related to technique, mischaracterization of lesion location or composition, and underestimation of disease extent. Recognition of these potential sources of error, coupled with a systematic approach to image interpretation, can improve diagnostic accuracy and better inform clinical decision-making in retroperitoneal pathology.
- 20 June 2026
- Published by Springer Nature in Abdominal Radiology
- p. 1-15
A systematic imaging approach to pathology within the retroperitoneal space
Retroperitoneal diseases encompass a broad and heterogeneous spectrum, ranging from benign conditions to aggressive malignancies. Clinical presentation is often nonspecific, and physical examination is limited by the deep location of the retroperitoneum. Consequently, cross-sectional imaging—primarily computed tomography (CT) and magnetic resonance imaging (MRI)—is central to detection, characterization, and staging, playing a key role in guiding management and surgical planning. Imaging evaluation is challenging due to overlapping appearances, difficulty determining the site of origin and extent of disease in large or infiltrative processes, and the complex, incompletely understood retroperitoneal anatomy. A structured, anatomy-based interpretive framework fosters improved diagnostic accuracy. Initial assessment focuses on localization and lesion composition. Distinguishing between pathology arising from retroperitoneal organs and primary retroperitoneal processes, combined with characterization of composition (e.g., solid, cystic/fluid, fat, calcification, gas, or mixed), allows generation of a focused differential diagnosis. Integration of key imaging and clinical features then refines and prioritizes diagnostic considerations. Common pitfalls in interpretation are related to technique, mischaracterization of lesion location or composition, and underestimation of disease extent. Recognition of these potential sources of error, coupled with a systematic approach to image interpretation, can improve diagnostic accuracy and better inform clinical decision-making in retroperitoneal pathology.
- 10 March 2026
- Published by Springer Nature in Abdominal Radiology
- p. 1-12
Shifting perspective: effectively incorporating the dixon method into abdominal and pelvic MRI interpretations
The Dixon method is a chemical shift MRI technique that separates fat and water signals to generate four image sets— in-phase, out-of-phase, fat-only, and water-only— from a single acquisition. This approach enhances lesion characterization, improves fat suppression, and identifies materials that produce magnetic susceptibility artifacts, such as gas, iron, blood products, or metal. Despite its diagnostic potential, Dixon imaging is often underutilized due to limited understanding of its physics and clinical applications. This review outlines the fundamental principles and technical considerations of Dixon imaging with an emphasis on its usefulness in abdominal and pelvic MRI interpretation. We highlight the role of in-phase and out-of-phase images in detecting macroscopic and microscopic fat, differentiating lipid-rich from lipid-poor lesions, and identifying hemosiderin or iron deposition. Fat-only images provide a high-contrast survey for ectopic or abnormal fat, useful in the evaluation of hepatic steatosis, adrenal and renal lesions, adnexal masses, and bone marrow pathology. Water-only images offer reliable fat suppression, particularly in the presence of field inhomogeneity or metallic hardware, improving lesion conspicuity compared with traditional techniques. Additionally, Dixon sequences facilitate recognition of susceptibility artifacts from gas, hemorrhage, or surgical materials, further refining diagnostic interpretation. Awareness of clinical and technical parameters which can lead to artifacts that may degrade image quality or mimic pathology is essential to avoid misinterpretation. Integrating Dixon image sets into routine abdominal and pelvic MRI protocols strengthens diagnostic confidence and efficiency by narrowing differential diagnoses and, in many cases, suggesting a specific diagnosis. Understanding the physics behind fat–water separation and incorporating these sequences into the radiologist’s search pattern ensures that the full diagnostic potential of Dixon imaging is realized.
- 10 March 2026
- Published by Springer Nature in Abdominal Radiology
- p. 1-12
Shifting perspective: effectively incorporating the dixon method into abdominal and pelvic MRI interpretations
The Dixon method is a chemical shift MRI technique that separates fat and water signals to generate four image sets— in-phase, out-of-phase, fat-only, and water-only— from a single acquisition. This approach enhances lesion characterization, improves fat suppression, and identifies materials that produce magnetic susceptibility artifacts, such as gas, iron, blood products, or metal. Despite its diagnostic potential, Dixon imaging is often underutilized due to limited understanding of its physics and clinical applications. This review outlines the fundamental principles and technical considerations of Dixon imaging with an emphasis on its usefulness in abdominal and pelvic MRI interpretation. We highlight the role of in-phase and out-of-phase images in detecting macroscopic and microscopic fat, differentiating lipid-rich from lipid-poor lesions, and identifying hemosiderin or iron deposition. Fat-only images provide a high-contrast survey for ectopic or abnormal fat, useful in the evaluation of hepatic steatosis, adrenal and renal lesions, adnexal masses, and bone marrow pathology. Water-only images offer reliable fat suppression, particularly in the presence of field inhomogeneity or metallic hardware, improving lesion conspicuity compared with traditional techniques. Additionally, Dixon sequences facilitate recognition of susceptibility artifacts from gas, hemorrhage, or surgical materials, further refining diagnostic interpretation. Awareness of clinical and technical parameters which can lead to artifacts that may degrade image quality or mimic pathology is essential to avoid misinterpretation. Integrating Dixon image sets into routine abdominal and pelvic MRI protocols strengthens diagnostic confidence and efficiency by narrowing differential diagnoses and, in many cases, suggesting a specific diagnosis. Understanding the physics behind fat–water separation and incorporating these sequences into the radiologist’s search pattern ensures that the full diagnostic potential of Dixon imaging is realized.
- 1 May 2025
- Published by Radiological Society of North America (RSNA) in RadioGraphics
- Vol. 45 (5) , e240150
Imaging Review of Pelvic Medical Devices
This slide presentation reviews the structure and function of commonly encountered pelvic medical devices, their normal imaging appearances, and imaging features of potential complications.
- 1 May 2025
- Published by Radiological Society of North America (RSNA) in RadioGraphics
- Vol. 45 (5) , e240150
Imaging Review of Pelvic Medical Devices
This slide presentation reviews the structure and function of commonly encountered pelvic medical devices, their normal imaging appearances, and imaging features of potential complications.
- 1 January 2021
- Published by Radiological Society of North America (RSNA) in RadioGraphics
- Vol. 41 (1) , 58-74
Pancreatic Trauma: Imaging Review and Management Update
Prompt and accurate diagnosis of traumatic pancreatic injury relies on knowledge of the relevant anatomy, injury mechanisms, clinical and imaging findings, and injury grade, which can be used in co... Traumatic injuries of the pancreas are uncommon and often difficult to diagnose owing to subtle imaging findings, confounding multiorgan injuries, and nonspecific clinical signs. Nonetheless, early...
- 1 January 2021
- Published by Radiological Society of North America (RSNA) in RadioGraphics
- Vol. 41 (1) , 58-74
Pancreatic Trauma: Imaging Review and Management Update
Prompt and accurate diagnosis of traumatic pancreatic injury relies on knowledge of the relevant anatomy, injury mechanisms, clinical and imaging findings, and injury grade, which can be used in co... Traumatic injuries of the pancreas are uncommon and often difficult to diagnose owing to subtle imaging findings, confounding multiorgan injuries, and nonspecific clinical signs. Nonetheless, early...
- 1 January 2020
- Published by Radiological Society of North America (RSNA) in RadioGraphics
- Vol. 40 (1) , 151-152
Managing Cognitive Load in Multimedia Presentations: Reducing Extraneous Processing
Implementation of cognitive theory–based principles can reduce extraneous processing for learners and increase the effectiveness of multimedia presentations in medical education.
- 1 January 2020
- Published by Radiological Society of North America (RSNA) in RadioGraphics
- Vol. 40 (1) , 151-152
Managing Cognitive Load in Multimedia Presentations: Reducing Extraneous Processing
Implementation of cognitive theory–based principles can reduce extraneous processing for learners and increase the effectiveness of multimedia presentations in medical education.
- 21 November 2018
- Published by Springer Nature in Abdominal Radiology
- Vol. 44 (4) , 1621-1622
Classics in abdominal imaging: the atoll sign
- 21 November 2018
- Published by Springer Nature in Abdominal Radiology
- Vol. 44 (4) , 1621-1622
Classics in abdominal imaging: the atoll sign
- 20 January 2016
- Published by Springer Nature in Abdominal Radiology
- Vol. 41 (5) , 1004
Inverted V sign
- 20 January 2016
- Published by Springer Nature in Abdominal Radiology
- Vol. 41 (5) , 1004
Inverted V sign
- 9 October 2014
- Published by Springer Nature in Abdominal Radiology
- Vol. 40 (2) , 457-458
The bowel wall target sign
- 9 October 2014
- Published by Springer Nature in Abdominal Radiology
- Vol. 40 (2) , 457-458
The bowel wall target sign