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[Cancer Research 40, 3054-3058, August 1, 1980]
© 1980 American Association for Cancer Research

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Theoretical Limitations in the Immunodiagnostic Imaging of Cancer with Computed Tomography and Nuclear Scanning1

S. David Rockoff, David J. Goodenough and K. Robert McIntire

Department of Radiology, The George Washington University Medical Center, Washington, D. C. 20037 [S.D.R., D.J.G.], and The Laboratory of Immunodiagnosis, National Cancer Institute, NIH, Bethesda, Maryland 20205 [K.R.M.]

In order to help assess the feasibility of using immunologically tagged agents to render tumors detectable with current computed tomographic and nuclear scanners, mathematical formulations were developed to determine the theoretical limits of tumor detection relative to size and depth of the lesions.

The results of our analysis suggest that visualization with computed tomography of a tiny tumor (1 sq mm, cross-sectional area) would require binding in the order of 2 x 105 iodine atoms/antigenic site, while imaging of a very large (900-sq mm) tumor would require approximately 104 atoms/site. Very low energy scanners might reduce these discouraging estimates by an order of 102.

The immunological imaging of tumors with nuclear scanning appears quite feasible from our formulations, as has been demonstrated by others clinically. Small (1-sq cm) and deep (≥5-cm) tumors appear detectable with uptake ratios of the order of 5 or higher, which seem to be attainable currently. Smaller and deeper tumors require much higher uptake ratios to be detected.

1 Presented at the UICC Workshop on Radioimmunodetection of Cancer, July 19 to 21, 1979, Lexington, Ky.







HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Cancer Research Clinical Cancer Research
Cancer Epidemiology Biomarkers & Prevention Molecular Cancer Therapeutics
Molecular Cancer Research Cancer Prevention Research
Cancer Prevention Journals Portal Cancer Reviews Online
Annual Meeting Education Book Meeting Abstracts Online
Copyright © 1980 by the American Association for Cancer Research.