Analysis of simplicial complexes to determine when to sample for quantitative DCE MRI of the breast

一致性 数学 样品(材料) 航程(航空) 时间点 计算机科学 乳房磁振造影 乳腺癌 样本量测定 模式识别(心理学) 人工智能 统计 核医学 医学 癌症 哲学 化学 材料科学 色谱法 内科学 复合材料 美学 乳腺摄影术
作者
Julie DiCarlo,Angela M. Jarrett,Anum S. Kazerouni,John Virostko,Anna G. Sorace,Kalina P. Slavkova,Stefanie Woodard,Sarah Avery,Debra A. Patt,Boone Goodgame,Thomas E. Yankeelov
出处
期刊:Magnetic Resonance in Medicine [Wiley]
卷期号:89 (3): 1134-1150
标识
DOI:10.1002/mrm.29511
摘要

A method is presented to select the optimal time points at which to measure DCE-MRI signal intensities, leaving time in the MR exam for high-spatial resolution image acquisition.Simplicial complexes are generated from the Kety-Tofts model pharmacokinetic parameters Ktrans and ve . A geometric search selects optimal time points for accurate estimation of perfusion parameters.The DCE-MRI data acquired in women with invasive breast cancer (N = 27) were used to retrospectively compare parameter maps fit to full and subsampled time courses. Simplicial complexes were generated for a fixed range of Kety-Tofts model parameters and for the parameter ranges weighted by estimates from the fully sampled data. The largest-area manifolds determined the optimal three time points for each case. Simulations were performed along with retrospectively subsampled data fits. The agreement was computed between the model parameters fit to three points and those fit to all points.The optimal three-point sample times were from the data-informed simplicial complex analysis and determined to be 65, 204, and 393 s after arrival of the contrast agent to breast tissue. In the patient data, tumor-median parameter values fit using all points and the three selected time points agreed with concordance correlation coefficients of 0.97 for Ktrans and 0.67 for ve .It is possible to accurately estimate pharmacokinetic parameters from three properly selected time points inserted into a clinical DCE-MRI breast exam. This technique can provide guidance on when to capture images for quantitative data between high-spatial-resolution DCE-MRI images.

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