NDLI: Combining brain imaging data with electronic health records to non-invasively quantify $[^{11}C]DASB$ binding

Content Provider	IEEE Xplore Digital Library
Author	Mikhno, A. Zanderigo, F. Ogden, R.T. Mikhno, M. Nagendra, H. Mann, J.J. Laine, A.F. Parsey, R.V.
Copyright Year	2014
Description	Author affiliation: Dept. of Psychiatry, Stony Brook Univ., Stony Brook, NY, USA (Zanderigo, F.; Parsey, R.V.) \|\| Dept. of Biomed. Eng., Columbia Univ., Columbia, NY, USA (Mikhno, A.; Laine, A.F.) \|\| Dept. of Psychiatry, Columbia Univ., Columbia, NY, USA (Ogden, R.T.; Mann, J.J.) \|\| Downstate Med. Center, SUNY, New York, NY, USA (Nagendra, H.) \|\| Rutgers Univ., Piscataway, NJ, USA (Mikhno, M.)
Abstract	Quantitative analysis of PET data requires a metabolite-corrected arterial input function (AIF) for estimation of distribution volume and related outcome measures. Collecting arterial blood samples adds risk, cost, and patient discomfort to PET studies. Minimally invasive AIF estimation is possible with simultaneous estimation (SIME), but one arterial blood sample is necessary to be used as an anchor value to ensure identifiability of each individuals AIF. For $[^{11}C]DASB,$ a widely used serotonin transporter PET tracer, this blood sample is optimally taken 50 minutes after injection. We present here an approach for replacing such a single time-point anchor with a predicted value using brain imaging and electronic health record (EHR) data. Average bootstrap $R^{2}$ > 0.8 in training data suggest that up to 80% of the variance in $[^{11}C]DASB$ SIME anchor may be explained by a model including heart rate, blood pressure, tracer dose, body size and cerebellar gray matter uptake. Preliminary results show that these models generalize well to a small test dataset. This may allow for quantitative analysis with no blood sampling.
Sponsorship	IEEE Comput. Soc.
Starting Page	732
Ending Page	735
File Size	558451
Page Count	4
File Format	PDF
ISBN	9781479921317
DOI	10.1109/BHI.2014.6864468
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-01
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Positron emission tomography Blood Plasmas Estimation Data models Heart rate image-derived input function minimally/non-invasive PET simultaneous estimation
Content Type	Text
Resource Type	Article

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