Clinical research represents the final stage of development for diagnostic imaging technologies. The quality of this research is of vital importance to the ultimate understanding of the clinical utility of the new property- based imaging modalities being developed in this Program. The Clinical Core will provide a single, centralized programmatic structure for initial clinical studies of the new imaging schemes. The Core will lead the recruitment of alternative imaging exam participants and the subsequent analysis/evaluation of the images and data derived form these encounters.
The specific aims of the Clinical Core are to (1) develop a comfortable and efficient breast analysis methods and statistical measures for assessing images and data derived from alternative imaging exams relative to conventional clinical information, (3) identify correlations of the pathological findings with alternative imaging property values through targeted immunohistochemical and specimen image analysis studies in order to improve the understanding of the biophysical basis of image contrast, and (4) conduct a formal clinical study involving 150 patients being screened for breast to evaluate the interrelationships between the different properties measured on the same individual and provide initial assessments of the sensitivity and specificity of the alternative imaging modalities, used both singly and in combination, for discriminating between individuals. a) with normal findings and with abnormal findings using conventional clinical methods and radiological examinations, b) with and without a confirmed diagnosis of cancer. c) with alternative pathological findings, among the 75 patients with abnormal conventional findings undergoing biopsy. Clinical Core members will create a level of expertise in diagnostic radiology, clinical research, statistics, and data management that would be difficult to duplicate within individual Projects.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program Projects (P01)
Project #
5P01CA080139-04
Application #
6616325
Study Section
Subcommittee G - Education (NCI)
Project Start
2002-08-01
Project End
2003-07-31
Budget Start
1998-10-01
Budget End
1999-09-30
Support Year
4
Fiscal Year
2002
Total Cost
$168,689
Indirect Cost
Name
Dartmouth College
Department
Type
DUNS #
041027822
City
Hanover
State
NH
Country
United States
Zip Code
03755
Halter, Ryan J; Hartov, Alex; Poplack, Steven P et al. (2015) Real-time electrical impedance variations in women with and without breast cancer. IEEE Trans Med Imaging 34:38-48
Epstein, N R; Meaney, P M; Paulsen, K D (2014) 3D parallel-detection microwave tomography for clinical breast imaging. Rev Sci Instrum 85:124704
Jiang, Shudong; Pogue, Brian W; Kaufman, Peter A et al. (2014) Predicting breast tumor response to neoadjuvant chemotherapy with diffuse optical spectroscopic tomography prior to treatment. Clin Cancer Res 20:6006-15
Meaney, Paul M; Kaufman, Peter A; Muffly, Lori S et al. (2013) Microwave imaging for neoadjuvant chemotherapy monitoring: initial clinical experience. Breast Cancer Res 15:R35
Laughney, Ashley M; Krishnaswamy, Venkataramanan; Rice, Tyler B et al. (2013) System analysis of spatial frequency domain imaging for quantitative mapping of surgically resected breast tissues. J Biomed Opt 18:036012
Krishnaswamy, Venkataramanan; Laughney, Ashley M; Wells, Wendy A et al. (2013) Scanning in situ spectroscopy platform for imaging surgical breast tissue specimens. Opt Express 21:2185-94
Jiang, Shudong; Pogue, Brian W; Michaelsen, Kelly E et al. (2013) Pilot study assessment of dynamic vascular changes in breast cancer with near-infrared tomography from prospectively targeted manipulations of inspired end-tidal partial pressure of oxygen and carbon dioxide. J Biomed Opt 18:76011
Laughney, Ashley M; Krishnaswamy, Venkataramanan; Rizzo, Elizabeth J et al. (2013) Spectral discrimination of breast pathologies in situ using spatial frequency domain imaging. Breast Cancer Res 15:R61
Kanick, S C; Krishnaswamy, V; Gamm, U A et al. (2012) Scattering phase function spectrum makes reflectance spectrum measured from Intralipid phantoms and tissue sensitive to the device detection geometry. Biomed Opt Express 3:1086-100
Weaver, John B; Pattison, Adam J; McGarry, Matthew D et al. (2012) Brain mechanical property measurement using MRE with intrinsic activation. Phys Med Biol 57:7275-87

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