ClinicalTrials.gov
public full text
Public Domain
Near-infrared Imaging Techniques for Identifying and Preserving Viable Parathyroid Glands During Thyroidectomy
The parathyroid glands and their blood vessels are notoriously difficult to visualize and may therefore be unintentionally and irrevocably damaged during thyroid surgery. This project investigates new surgeon-performed imaging techniques that visualize the parathyroid glands and their vessels in real-time during thyroid surgery. The purpose is to examine, in a matched cohort study, whether the implementation of near-infrared-induced autofluorescence for identification of the parathyroid glands, combined with indocyanine green near-infrared angiography of the parathyroid feeding vessels, can reduce the incidence of postoperative hypocalcaemia in patients undergoing total and completion thyroidectomy at Odense University Hospital.
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
- Evaluating Impact of Near Infrared Autofluorescence (NIRAF) Detection for Identifying Parathyroid Glands During Parathyroidectomy#1153682
- Assessing Benefits of Near Infrared Autofluorescence (NIRAF) Detection for Identifying Parathyroid Glands During Total Thyroidectomy#1086389
- Parathyroid Autofluorescence Visualization in Thyroid Surgery: Impact on Postoperative Hypocalcemia#994486
- Dual-Channel Near-Infrared Autofluorescence Imaging and AI Analysis to Locate Parathyroid Glands (PTFinder)#811868
- Autofluorescence-guided Hemithyroidectomy in a Low-volume, Non-parathyroid Insitution: A Randomized Clinical Trial#981507
Record · ID 856456
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
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
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive