Objective: Endovascular aneurysm repair (EVAR) has become a popular treatment for abdominal aortic aneurysm (AAA). This study examines conformational changes in the infrarenal aortas of patients in whom proximal seal zone failures (PSF) developed after EVAR.
Methods: All 189 patients with aortic endograft underwent routine post-EVAR computed tomographic scan surveillance. Patients identified with proximal type I endoleaks, type III endoleaks, or proximal component separation without demonstrable endoleak underwent three-dimensional reconstruction of the computed tomographic scans from which measurements of the migration, length, volume, and angulation of the infrarenal aorta were made.
Results: Five patients (3%) had PSF develop, four of whom had aortic extender cuffs. Although changes in the AAA volume and aortic neck angle were slight or variable, the mean AAA length increased 34 mm and the mean aortic body angulation increased 17 degrees (P =.03 and.01, respectively). Lengthening and migration caused proximal component separation in four patients, with concomitant migration in two patients. Two patients underwent endovascular repair, two patients needed explantation of the endograft, and one patient awaits endovascular repair. Proximal component separation and type III endoleak recurred in one patient and were repaired with a custom-fitted graft.
Conclusion: PSF of aortic endografts is associated with proximal angulation and lengthening of the infrarenal aorta. These findings reinforce the importance of proper initial deployment to minimize the need for aortic extender cuffs, which pose a risk of late endoleak development.
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http://dx.doi.org/10.1067/mva.2002.53 | DOI Listing |
Purpose: Accurate identification of radiographic landmarks is fundamental to characterizing glenohumeral relationships before and sequentially after shoulder arthroplasty, but manual annotation of these radiographs is laborious. We report on the use of artificial intelligence, specifically computer vision and deep learning models (DLMs), in determining the accuracy of DLM-identified and surgeon identified (SI) landmarks before and after anatomic shoulder arthroplasty.
Materials & Methods: 240 true anteroposterior radiographs were annotated using 11 standard osseous landmarks to train a deep learning model.
Injuries are commonplace in the overhead athlete, with many occurring to the shoulder and elbow. The increasing prevalence of injuries to the shoulder and elbow has been discussed at length in recent years, with increased research focus being placed on arm care for rehabilitation and prevention strategies. Even though the pitching motion is well-established as a whole-body kinetic chain movement, most attention in rehabilitation and prevention efforts is often placed on the upper extremity.
View Article and Find Full Text PDFCurr Opin Plant Biol
January 2025
Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA.
Plant diseases constantly threaten crops and food systems, while global connectivity further increases the risks of spreading existing and exotic pathogens. Here, we first explore how an integrative approach involving plant pathway knowledgegraphs, differential gene expression data, and biochemical data informing Raman spectroscopy could be used to detect plant pathways responding to pathogen attacks. The Plant Reactome (https://plantreactome.
View Article and Find Full Text PDFCell Commun Signal
January 2025
Centre of Postgraduate Medical Education, Centre of Translation Research, Department of Biochemistry and Molecular Biology, ul. Marymoncka 99/103, Warsaw, 01-813, Poland.
Background: Renal cell cancer (RCC) is the most common and highly malignant subtype of kidney cancer. Mesenchymal stromal cells (MSCs) are components of tumor microenvironment (TME) that influence RCC progression. The impact of RCC-secreted small non-coding RNAs (sncRNAs) on TME is largely underexplored.
View Article and Find Full Text PDFJ Knee Surg
January 2025
Lenox Hill Hospital Department of Orthopedic Surgery, Northwell Health, New York, United States.
Patellar instability following total knee arthroplasty (TKA) is a rare, yet serious complication, potentially requiring revision surgery or resulting in chronic dysfunction. When encountered, it is paramount to understand the etiologies, diagnostic approaches, treatment options, and outcomes of the selected treatment. The most common cause of patella instability is improper positioning of components, leading to lateral maltracking of the patella.
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