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

Three-dimensional Optical Surface Imaging as a Diagnostic Tool in Pectus Excavatum

Zuyderland Medisch Centrum · 2019
ClinicalTrials.gov · Datasets · License: Public Domain · 2019
Open Source ↗
diagnostic-accuracyna
Pectus excavatum (PE) is the most common anterior chest wall deformity. Currently, a chest radiography (CR) or Computed Tomography (CT) scan is acquired to determine and objectify pectus severity using the Haller Index. Alongside other determinants, the Haller Index value is used in the proces of clinical decision making and determine surgical candidacy. However, cross-sectional imaging based calculation of the Haller Index implies exposure to ionizing radiation that should be limited at all times to diminish the cumulative long-term risks of malignancy. Especially in pectus patients that often concerns children. Three-dimensional (3D) optical surface imaging offers a non-invasive, radiation-free alternative that may be used to obtain thoracic measures and determine pectus severity. However, for 3D images/scans to be used as a diagnostic tool in the proces of clinical decision making and determine surgical candidacy, its diagnostic accuracy should be evaluated. This will be investigated utilizing a pilot study design as no prior accuracy studies are available.
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 1171016
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