| Autor: |
O'Sullivan F; University College Cork, School of Mathematical Sciences, Cork, Ireland., O'Sullivan JN; University College Cork, School of Mathematical Sciences, Cork, Ireland., Huang J; University College Cork, School of Mathematical Sciences, Cork, Ireland., Doot R; University of Pennsylvania, Department of Radiology, Philadelphia, Pennsylvania, United States., Muzi M; University of Washington, Department of Radiology, Seattle, Washington, United States., Schubert E; University of Pennsylvania, Department of Radiology, Philadelphia, Pennsylvania, United States., Peterson L; University of Washington, Department of Radiology, Seattle, Washington, United States., Dunnwald LK; University of Iowa, Department of Radiology, Iowa City, Iowa, United States., Mankoff DM; University of Pennsylvania, Department of Radiology, Philadelphia, Pennsylvania, United States. |
| Abstrakt: |
Blood flow-metabolism mismatch from dynamic positron emission tomography (PET) studies with [Formula: see text]-labeled water ([Formula: see text]) and [Formula: see text]-labeled fluorodeoxyglucose (FDG) has been shown to be a promising diagnostic for locally advanced breast cancer (LABCa) patients. The mismatch measurement involves kinetic analysis with the arterial blood time course (AIF) as an input function. We evaluate the use of a statistical method for AIF extraction (SAIF) in these studies. Fifty three LABCa patients had dynamic PET studies with [Formula: see text] and FDG. For each PET study, two AIFs were recovered, an SAIF extraction and also a manual extraction based on a region of interest placed over the left ventricle (LV-ROI). Blood flow-metabolism mismatch was obtained with each AIF, and kinetic and prognostic reliability comparisons were made. Strong correlations were found between kinetic assessments produced by both AIFs. SAIF AIFs retained the full prognostic value, for pathologic response and overall survival, of LV-ROI AIFs. |
