Interstitial Optical Diagnosis and Treatment of Breast Cancer
Abstract
Spectral analysis of white light reflected from tissue provides a rapid, non-invasive, diagnostic technique. We have collected paired optical and conventional histologic measurements from 647 sites in breast tissue and axillary lymph nodes and looked for spectral features to identify cancer. Spectral analysis techniques known as model based analysis (MIBA) have been developed using artificial intelligence techniques such as neural networks and hierarchical cluster analysis coupled with innovative spectral processing that we are in the process of patenting. Our latest results show a sensitivity and specificity for detecting cancer in breast tissue or lymph nodes as given in the table. Therapy aims for complete ablation of small cancers using MR guided Interstitial Laser Photocoagulation (ILP). We have shown that ILP can ablate small cancers and that contrast enhanced MR can detect untreated areas of cancer as small as 2mm. Although the number of suitable patients for study is still small an additional year of research as agreed in a revised statement of work should increase the numbers treated significantly. ILP to 58 fibroadenomas confirmed that laser necrosed tissue is resorbed and the treated area heals safely. This makes ILP a promising treatment for fibroadenomas.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 2001
- Accession Number
- ADA398292
Entities
People
- Stephen Brown
Organizations
- University College London