At Kurnool KIMS Hospital, doctors successfully performed a rare airway stenting procedure on a 75-year-old woman with ...

Review Article Published: March 2007 Therapy Insight: diabetes and drug-eluting stents Victor Legrand Nature Clinical Practice Cardiovascular Medicine 4, 143–150 (2007) Cite this article ...

Background and aim: Covered self-expandable metal stents (EMS) were recently developed to overcome tumour ingrowth in conventional EMS. However, supporting evidence for the efficacy of covered EMS is ...

Dia T Simmons; Todd H Baron Disclosures Nat Clin Pract Gastroenterol Hepatol. 2005;2 (8):365-374.

Objective The primary objective was to assess the performance of a new generation thin-strut sirolimus-eluting coronary stent with abluminal biodegradable polymer in an all comer population. The ...

Lumen-apposing metal stents (LAMS) have been recently developed to improve treatment outcomes in the endoscopic management of pancreatic fluid collections (PFC), particularly in walled-off necrosis ...

Endoscopic interventions for postoperative esophageal strictures and fistulas are inherently challenging. The use of conventional self-expandable metallic stents has been restricted due to high ...

By 2021, most stent procurement volume tilt toward underdeveloped regions. The procurement volume of selected stents increased by 120.5% in 2021 compared with 2019, comprising 95.5% of the annual ...

Anantnag has performed palliative stenting for esophageal cancer on a patient, with the procedure done outside the operation theater using ...

Cite this: Natural Course of Inoperable Esophageal Cancer Treated With Metallic Expandable Stents: Quality of Life and Cost-Effectiveness Analysis - Medscape - Dec 01, 2004.

Purpose: To compare the 3D-printed oral stents (3D-OS) and personalised hand-made stents in dentistry (DentStent) for head and neck malignancies. Methods: Twelve patients with head and neck malignant ...

Esophageal cancer is a critical health concern requiring accurate and timely diagnosis. This study investigates the use of transfer learning with pretrained convolutional neural networks (CNNs) for ...