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Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
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A functional form for a representative individual arterial input function measured from a population using high

Leonidas Georgiou1,2, Daniel J Wilson3, Nisha Sharma4

  • 1Biomedical Imaging, University of Leeds, Leeds, United Kingdom.

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Summary

Arterial input function (AIF) can be measured reliably in individual patients. However, significant interpatient variability necessitates population-specific AIFs for accurate tracer kinetic analysis in comparative studies.

Keywords:
DCE-MRIarterial input functionbreast cancercardiac outputhigh temporal resolutionreproducibility

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Area of Science:

  • Medical Imaging
  • Radiology
  • Pharmacokinetics

Background:

  • Accurate tracer kinetic analysis relies on precise measurement of the arterial input function (AIF).
  • Understanding AIF variability is crucial for interpreting dynamic contrast-enhanced (DCE) imaging studies, particularly in patient populations undergoing treatment.

Purpose of the Study:

  • To measure the arterial input function (AIF) in breast cancer patients using optimized DCE imaging.
  • To quantify inter- and intrapatient variability of the AIF.
  • To develop a representative AIF for simulation studies.

Main Methods:

  • Analyzed 97 T1-weighted DCE studies from 39 female breast cancer patients before and during neoadjuvant chemotherapy.
  • Estimated AIF parameters, including area under the curve and cardiac output, from first-pass peaks.
  • Assessed inter- and intrapatient variability of the AIF.

Main Results:

  • Interpatient variability of the AIF was greater than intrapatient variability.
  • Cardiac output remained stable (mean 5.6 ± 1.1 L/min) across MR visits.
  • Baseline blood T1 increased significantly after chemotherapy initiation, correlating with decreased hematocrit.

Conclusions:

  • Individual AIF measurement is reproducible, but interpatient variability impacts tracer kinetic analysis precision.
  • A population-representative AIF is presented, maintaining characteristics of individually measured AIFs for improved simulation accuracy.