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

Optical Tomography With Ultrasound Guidance

UConn Health · 2007
ClinicalTrials.gov · Datasets · License: Public Domain · 2007
Open Source ↗
breast-cancerultrasound-imaging
The investigators propose to validate the utility of their novel hybrid imaging technique for accurate diagnosis of breast lesions, and for assessing chemotherapy response of cancer treatment and predicting treatment efficacy. The investigators' unique hybrid technique is implemented by simultaneously deploying near infrared (NIR) optical sensors and a commercial ultrasound (US) transducer mounted on a hand-held probe, and utilizing co-registered lesion structure information provided by ultrasound to improve the optical tomography. As a result, the optical tomography assisted with US has overcome problems associated with intense light scattering and has provided reliable tumor angiogenesis distributions. Initial results with a small group of patients who underwent biopsy have shown that early stage invasive cancers present two-fold greater total hemoglobin concentration on average than fibroadenomas and other benign lesions. Initial results of advanced cancers have shown that the angiogenesis distribution is highly distorted and heterogeneous, and the distorted distributions correlate with histological microvessel density counts and can be used to assess chemotherapy response. The objective of this study is to validate the investigators' initial results that NIR light guided by ultrasound can improve breast cancer diagnosis and monitor chemotherapy response.
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 1074980
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