Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Radiofrequency Endoscopic Ablation With Ultrasound Guidance: a Non-surgical Treatment for Aldosterone-producing Adenomas

University College, London · 2018
ClinicalTrials.gov · Datasets · License: Public Domain · 2018
Open Source ↗
na
High blood pressure (hypertension) causes strokes and heart attacks. While most patients need long-term treatment with pills, some have a cause which can be removed, curing the hypertension. The commonest curable cause is a benign nodule in one of the hormone glands, the adrenals. About one in 20 patients have such a nodule, but difficulties with diagnosis, and reluctance to proceed to surgery for a benign condition, limit the number having adrenal gland surgery to fewer than 300 per year in the UK. A potential, and exciting, solution to this dilemma is to use a momentary electric current to cauterise the nodule (radiofrequency ablation), without affecting the rest of the adrenal gland, and avoiding the need for surgery. Nodules in the left adrenal gland are easily reached under mild sedation using a similar procedure as is standard for investigating stomach ulcers (endoscopy). The study is designed to show that this approach (endoscopic ultrasound guided radiofrequency ablation) is very safe, and to provide initial evidence that the hormone abnormality is cured.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 993568
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive