Intraoperative Imaging of Sentinel Lymph Nodes

Abstract

The main objective of this investigation is to determine the feasibility and value of the intraperative use of a small field of view (FOV) camera gamma camera for sentinel lymph node (SLN) localization in breast cancer patients. Two cameras, on with a 1' x 1' FOV and one with a 5 x 5' FOV are being investigated. Clinical experience with 14 subjects using the 1 in x 1 in FOV and 15 subjects using the 5 in x5 in FOV suggests that the 5 x 5 FOV is more valuable for SLN localization in breast cancer patients than is the 1' x 1' FOV. The task of verifying the content of two databases one consisting of data form 121 breast cancer patients and the other consisting of data from 50 was carefully done. Data from the database consisting of data from 50 was carefully done. Data from the database consisting of 50 patients were presented at the 8% Congress of the World Federation of Nuclear Medicine and Biology 2002 in Santiago, Chile by the senior nuclear medicine technologist at Atlanta VAMC. The data for the other database are currently being analyzed statistically to determine correlation factors. Initial assessment of the data of the 15 subjects images with 5' x 5' FOV camera suggests use of the device is feasible and of value for SLN localization in cases which preoperative imaging is not performed.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2003
Accession Number
ADA420110

Entities

People

  • Carmen M. Greene
  • Nolan E. Hertel

Organizations

  • Georgia Tech

Tags

DTIC Thesaurus Topics

  • Acquisition
  • Biopsy
  • Breast Cancer
  • Carcinoma
  • Databases
  • Detection
  • Diseases And Disorders
  • Gamma Rays
  • Lymph Nodes
  • Lymphatic System
  • Medical Personnel
  • Neoplasms
  • Nuclear Medicine
  • Oncology
  • Radiation Shielding
  • Statistical Analysis
  • Surgery

Fields of Study

  • Medicine
  • Physics

Readers

  • Academic Conference Management
  • Human-Computer Interaction (HCI).
  • Oncology and Biomarker-Based Cancer Detection.