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Proceedings Paper

Multimodality evaluation of cervical tumors
Author(s): Mark T. Madsen; Nina A. Mayr; William T. C. Yuh; James C. Ehrhardt; Vincent A. Magnotta; Laura L. B. Ponto; Michael W. Vannier; Richard D. Hichwa
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Paper Abstract

Clinical signs of radiotherapy failure are often not present until well after treatment has been completed. Methods which could predict the response of tumors either before or early into the radiotherapy schedule would have important implications for patient management. Recent studies performed at our institution suggest that MR perfusion imaging maya be useful in distinguishing between individuals who are likely to benefit from radiation therapy and those who are not. Because MR perfusion imaging reflects tissue vascularity as well as perfusion, quantitative positron emission tomographic (PET) blood flow studies were performed to obtain an independent assessment of tumor perfusion. MR perfusion and PET quantitative blood flow studies were acquired on four women diagnosed with advanced cervical cancer. The MR perfusion studies were acquired on a 1 cm sagittal slice through the epicenter of the tumor mass. Quantitative PET blood flow studies were performed using an autoradiographic technique. The PET and MRI were registered using a manual interactive routine and the mean blood flow in the tumor was compared to the relative signal intensity in a corresponding region on the MR image. The mean blood flow in the cervical tumors ranged form 30-48 ml/min/100 grams. The observed blood flow values are consistent with the assumed relationship between MR contrast enhancement and the distribution of tissue perfusion. The information offered by these studies provides an additional window into the evaluation of the response of cervical tumors to radiation therapy.

Paper Details

Date Published: 9 May 1997
PDF: 8 pages
Proc. SPIE 3033, Medical Imaging 1997: Physiology and Function from Multidimensional Images, (9 May 1997); doi: 10.1117/12.274070
Show Author Affiliations
Mark T. Madsen, Univ. of Iowa College of Medicine (United States)
Nina A. Mayr, Univ. of Iowa College of Medicine (United States)
William T. C. Yuh, Univ. of Iowa College of Medicine (United States)
James C. Ehrhardt, Univ. of Iowa College of Medicine (United States)
Vincent A. Magnotta, Univ. of Iowa College of Medicine (United States)
Laura L. B. Ponto, Univ. of Iowa College of Medicine (United States)
Michael W. Vannier, Univ. of Iowa College of Medicine (United States)
Richard D. Hichwa, Univ. of Iowa College of Medicine (United States)


Published in SPIE Proceedings Vol. 3033:
Medical Imaging 1997: Physiology and Function from Multidimensional Images
Eric A. Hoffman, Editor(s)

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