Advanced Ultrasonic Evaluation of Sentinel Lymph Nodes

Information

  • Research Project
  • 8337319
  • ApplicationId
    8337319
  • Core Project Number
    R01CA100183
  • Full Project Number
    5R01CA100183-06
  • Serial Number
    100183
  • FOA Number
    PA-10-067
  • Sub Project Id
  • Project Start Date
    3/1/2003 - 22 years ago
  • Project End Date
    7/31/2016 - 9 years ago
  • Program Officer Name
    TANDON, PUSHPA
  • Budget Start Date
    8/1/2012 - 13 years ago
  • Budget End Date
    7/31/2013 - 12 years ago
  • Fiscal Year
    2012
  • Support Year
    06
  • Suffix
  • Award Notice Date
    7/19/2012 - 13 years ago

Advanced Ultrasonic Evaluation of Sentinel Lymph Nodes

DESCRIPTION (provided by applicant): Riverside Research Institute, the University of Hawaii and Kuakini Medical Center, and the National Center for Scientific Research (Paris, France) propose to continue to investigate, refine, and expand the use of novel quantitative ultrasound methods for discriminating between cancer-containing and cancer-free lymph nodes of cancer patients. Detection of metastatic cancer in lymph nodes is absolutely crucial for accurate staging, prognosis, and treatment planning. Our overall objective is to reduce markedly the unacceptable failure of existing histopathological methods to detect metastases in 25% to 30% of dissected nodes and 50% in nodes with micrometastases. To achieve this objective, we proposed to develop quantitative imaging methods using high-frequency ultrasound in the pathology laboratory to identify regions of dissected nodes that warrant careful histologic examination. We have made exciting progress toward this objective by developing a sensitive and specific ultrasonic method of imaging metastatic disease present in lymph nodes with fine spatial resolution. Our results have shown a remarkable ability to detect cancer in dissected lymph nodes for a broad range of cancer types, and they promise a revolutionary means of guiding pathologists to cancer-containing regions of dissected lymph nodes. The demonstrated ability of our proposed methods to pinpoint metastatic cancer potentially can reduce the occurrence of false-negative determinations drastically when nodes contain micrometastatic disease, which easily can be overlooked using current histopathology methods. Our current results substantially have validated our original hypothesis that the proposed methods can identify cancer- containing regions of dissected nodes with a simultaneous sensitivity and specificity of approximately 90%. These findings provide encouragement that our proposed studies fully achieve our general objective, and they suggest that a simultaneous sensitivity and specificity exceeding 95% in fact may be possible. Therefore, we propose to acquire additional data to expand our existing database and thoroughly validate our findings. We also propose to investigate the feasibility of applying the same techniques at lower frequencies for clinical use in the examination or operating room to identify nodes that warrant biopsy or dissection. In addition, we propose to improve models for ultrasound scattering in lymph nodes using very-high-frequency ultrasonic microscopy and to formulate engineering specifications for a low-cost ultrasound instrument capable of performing node evaluations routinely in the pathology laboratory. In conclusion, this project can benefit lymph-node evaluations for staging, prognosis, and treatment planning of all types of cancers, e.g., breast, colorectal, gastric, pancreatic, lung, thyroid, prostate, etc., as well as sentinel-node dissection procedures, e.g., for breast cancer. The methods we are developing clearly can have a significant beneficial impact on in situ evaluations of lymph nodes examined prior to or during surgery, intra-operative evaluations of regional nodes including sentinel-nodes, and post-operative evaluations of dissected nodes.

IC Name
NATIONAL CANCER INSTITUTE
  • Activity
    R01
  • Administering IC
    CA
  • Application Type
    5
  • Direct Cost Amount
    173375
  • Indirect Cost Amount
    68277
  • Total Cost
    241652
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    394
  • Ed Inst. Type
  • Funding ICs
    NCI:241652\
  • Funding Mechanism
    Non-SBIR/STTR RPGs
  • Study Section
    BMIT
  • Study Section Name
    Biomedical Imaging Technology Study Section
  • Organization Name
    RIVERSIDE RESEARCH INSTITUTE
  • Organization Department
  • Organization DUNS
    046822615
  • Organization City
    NEW YORK
  • Organization State
    NY
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    100382609
  • Organization District
    UNITED STATES