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Diffusion radiomics analysis of intratumoral heterogeneity in a murine prostate cancer model following radiotherapy: Pixelwise correlation with histology
Author(s) -
Lin YuChun,
Lin Gigin,
Hong JiHong,
Lin YiPing,
Chen FangHsin,
Ng ShuHang,
Wang ChunChieh
Publication year - 2017
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.25583
Subject(s) - nuclear medicine , effective diffusion coefficient , diffusion mri , radiation therapy , prostate cancer , irradiation , extracellular , histology , medicine , correlation , nuclear magnetic resonance , magnetic resonance imaging , chemistry , pathology , cancer , radiology , mathematics , physics , biochemistry , nuclear physics , geometry
Purpose To investigate the biological meaning of apparent diffusion coefficient (ADC) values in tumors following radiotherapy. Materials and Methods Five mice bearing TRAMP‐C1 tumor were half‐irradiated with a dose of 15 Gy. Diffusion‐weighted images, using multiple b‐values from 0 to 3000 s/mm 2 , were acquired at 7T on day 6. ADC values calculated by a two‐point estimate and monoexponential fitting of signal decay were compared between the irradiated and nonirradiated regions of the tumor. Pixelwise ADC maps were correlated with histological metrics including nuclear counts, nuclear sizes, nuclear spaces, cytoplasmic spaces, and extracellular spaces. Results As compared with the nonirradiated region, the irradiated region exhibited significant increases in ADC, extracellular space, and nuclear size, and a significant decrease in nuclear counts ( P < 0.001 for all). Optimal ADC to differentiate the irradiated from nonirradiated regions was achieved at a b‐value of 800 s/mm 2 by the two‐point method and monoexponential curve fitting. ADC positively correlated with extracellular spaces ( r = 0.74) and nuclear sizes ( r = 0.72), and negatively correlated with nuclear counts ( r = –0.82, P < 0.001 for all). Conclusion As a radiomic biomarker, ADC maps correlating with histological metrics pixelwise could be a means of evaluating tumor heterogeneity and responses to radiotherapy. Level of Evidence: 1 Technical Efficacy : Stage 2 J. MAGN. RESON. IMAGING 2017;46:483–489