Xiaoyu Jiang1,2, Hua Li1,3, Jingping Xie1,2, Eliot T McKinley4, Ping Zhao1,2, John C Gore1,2,3,5,6, Junzhong Xu1,2,3,5. 1. Institute of Imaging Science, Vanderbilt University, Nashville, Tennessee, USA. 2. Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, Tennessee, USA. 3. Department of Physics and Astronomy, Vanderbilt University, Nashville, Tennessee, USA. 4. Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA. 5. Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, USA. 6. Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, Tennessee, USA.
Abstract
PURPOSE: A temporal diffusion MRI spectroscopy based approach has been developed to quantify cancer cell size and density in vivo. METHODS: A novel imaging microstructural parameters using limited spectrally edited diffusion (IMPULSED) method selects a specific limited diffusion spectral window for an accurate quantification of cell sizes ranging from 10 to 20 μm in common solid tumors. In practice, it is achieved by a combination of a single long diffusion time pulsed gradient spin echo (PGSE) and three low-frequency oscillating gradient spin echo (OGSE) acquisitions. To validate our approach, hematoxylin and eosin staining and immunostaining of cell membranes, in concert with whole slide imaging, were used to visualize nuclei and cell boundaries, and hence, enabled accurate estimates of cell size and cellularity. RESULTS: Based on a two compartment model (incorporating intra- and extracellular spaces), accurate estimates of cell sizes were obtained in vivo for three types of human colon cancers. The IMPULSED-derived apparent cellularities showed a stronger correlation (r = 0.81; P < 0.0001) with histology-derived cellularities than conventional ADCs (r = -0.69; P < 0.03). CONCLUSION: The IMPULSED approach samples a specific region of temporal diffusion spectra with enhanced sensitivity to length scales of 10-20 μm, and enables measurements of cell sizes and cellularities in solid tumors in vivo. Magn Reson Med 78:156-164, 2017.
PURPOSE: A temporal diffusion MRI spectroscopy based approach has been developed to quantify cancer cell size and density in vivo. METHODS: A novel imaging microstructural parameters using limited spectrally edited diffusion (IMPULSED) method selects a specific limited diffusion spectral window for an accurate quantification of cell sizes ranging from 10 to 20 μm in common solid tumors. In practice, it is achieved by a combination of a single long diffusion time pulsed gradient spin echo (PGSE) and three low-frequency oscillating gradient spin echo (OGSE) acquisitions. To validate our approach, hematoxylin and eosin staining and immunostaining of cell membranes, in concert with whole slide imaging, were used to visualize nuclei and cell boundaries, and hence, enabled accurate estimates of cell size and cellularity. RESULTS: Based on a two compartment model (incorporating intra- and extracellular spaces), accurate estimates of cell sizes were obtained in vivo for three types of humancolon cancers. The IMPULSED-derived apparent cellularities showed a stronger correlation (r = 0.81; P < 0.0001) with histology-derived cellularities than conventional ADCs (r = -0.69; P < 0.03). CONCLUSION: The IMPULSED approach samples a specific region of temporal diffusion spectra with enhanced sensitivity to length scales of 10-20 μm, and enables measurements of cell sizes and cellularities in solid tumors in vivo. Magn Reson Med 78:156-164, 2017.
Authors: T Sugahara; Y Korogi; M Kochi; I Ikushima; Y Shigematu; T Hirai; T Okuda; L Liang; Y Ge; Y Komohara; Y Ushio; M Takahashi Journal: J Magn Reson Imaging Date: 1999-01 Impact factor: 4.813
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Authors: Junzhong Xu; Xiaoyu Jiang; Hua Li; Lori R Arlinghaus; Eliot T McKinley; Sean P Devan; Benjamin M Hardy; Jingping Xie; Hakmook Kang; A Bapsi Chakravarthy; John C Gore Journal: Magn Reson Med Date: 2019-11-25 Impact factor: 4.668
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Authors: Junzhong Xu; Xiaoyu Jiang; Sean P Devan; Lori R Arlinghaus; Eliot T McKinley; Jingping Xie; Zhongliang Zu; Qing Wang; A Bapsi Chakravarthy; Yong Wang; John C Gore Journal: Magn Reson Med Date: 2020-09-16 Impact factor: 4.668