Apparent Diffusion Coefficient and Native T1 Mapping Histogram Analyses Reveal Tumor Proliferation and Microenvironment in Neuroblastoma Xenografts

<b>Objectives</b>: This exploratory preclinical study aimed to compare the correlations of apparent diffusion coefficient (ADC) and native T1 mapping histogram features with tumor cell proliferation, microvessel density (MVD), and extracellular matrix composition in neuroblastoma xenografts. <b>Methods</b>: Neuroblastoma xenografts (<i>n</i> = 42) were established by subcutaneously injecting three <i>MYCN</i>-amplified/non-amplified human neuroblastoma cell lines (IMR-32, SK-N-BE(2), and SH-SY5Y; <i>n</i> = 14 per group) into female immunodeficient BALB/c-nude mice. Once tumors reached a diameter within the range of 12-15 mm, native T1 mapping and diffusion-weighted imaging were performed using a 3.0T clinical MRI scanner. Tumor cell proliferation and MVD were assessed via immunohistochemical Ki-67 staining and CD31 staining, respectively. Collagen fibers were visualized using Masson staining to calculate the collagen volume fraction (CVF). Pearson correlation coefficients with false discovery rate (FDR) correction were used to evaluate their associations. <b>Results</b>: Significant negative correlations were observed between Ki-67 expression and multiple ADC values after FDR correction, including ADC<sub>10Percentile</sub> (<i>r</i> = -0.397, adjusted <i>p</i> = 0.032), ADC<sub>90Percentile</sub> (<i>r</i> = -0.394, adjusted <i>p</i> = 0.032), ADC<sub>maximum</sub> (<i>r</i> = -0.362, adjusted <i>p</i> = 0.048), ADC<sub>mean</sub> (<i>r</i> = -0.421, adjusted <i>p</i> = 0.032), ADC<sub>median</sub> (<i>r</i> = -0.422, adjusted <i>p</i> = 0.032), ADC<sub>minimum</sub> (<i>r</i> = -0.390, adjusted <i>p</i> = 0.032), and ADC<sub>rootmeansquared</sub> (<i>r</i> = -0.419, adjusted <i>p</i> = 0.032). In contrast, multiple T1 mapping features showed significant positive correlations with CVF (adjusted <i>p</i> < 0.05). <b>Conclusions</b>: ADC and T1 mapping provide complementary insights into tumor proliferation and extracellular matrix composition in neuroblastoma. These preclinical findings support further research to validate their potential clinical utility.

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Journal
Cancers
Published
2025-10-26
DOI
https://doi.org/10.3390/cancers17213433
Primary Topic
Neuroblastoma Research and Treatments
Type
article
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article

Apparent Diffusion Coefficient and Native T1 Mapping Histogram Analyses Reveal Tumor Proliferation and Microenvironment in Neuroblastoma Xenografts

Ling He, Lisha Nie, Huiru Zhu, Jinhua Cai et al.
Cancers
Neuroblastoma Research and Treatments
article

Apparent Diffusion Coefficient and Native T1 Mapping Histogram Analyses Reveal Tumor Proliferation and Microenvironment in Neuroblastoma Xenografts

Ling He, Lisha Nie, Huiru Zhu, Jinhua Cai, Jie Huang, Weiyi Zhu, Xiang Cheng, Jiaxin Su, Haoru Wang, Chen Zeng, Qian Hu, Xin Chen, Yongqing Tong
article en

Abstract

<b>Objectives</b>: This exploratory preclinical study aimed to compare the correlations of apparent diffusion coefficient (ADC) and native T1 mapping histogram features with tumor cell proliferation, microvessel density (MVD), and extracellular matrix composition in neuroblastoma xenografts. <b>Methods</b>: Neuroblastoma xenografts (<i>n</i> = 42) were established by subcutaneously injecting three <i>MYCN</i>-amplified/non-amplified human neuroblastoma cell lines (IMR-32, SK-N-BE(2), and SH-SY5Y; <i>n</i> = 14 per group) into female immunodeficient BALB/c-nude mice. Once tumors reached a diameter within the range of 12-15 mm, native T1 mapping and diffusion-weighted imaging were performed using a 3.0T clinical MRI scanner. Tumor cell proliferation and MVD were assessed via immunohistochemical Ki-67 staining and CD31 staining, respectively. Collagen fibers were visualized using Masson staining to calculate the collagen volume fraction (CVF). Pearson correlation coefficients with false discovery rate (FDR) correction were used to evaluate their associations. <b>Results</b>: Significant negative correlations were observed between Ki-67 expression and multiple ADC values after FDR correction, including ADC<sub>10Percentile</sub> (<i>r</i> = -0.397, adjusted <i>p</i> = 0.032), ADC<sub>90Percentile</sub> (<i>r</i> = -0.394, adjusted <i>p</i> = 0.032), ADC<sub>maximum</sub> (<i>r</i> = -0.362, adjusted <i>p</i> = 0.048), ADC<sub>mean</sub> (<i>r</i> = -0.421, adjusted <i>p</i> = 0.032), ADC<sub>median</sub> (<i>r</i> = -0.422, adjusted <i>p</i> = 0.032), ADC<sub>minimum</sub> (<i>r</i> = -0.390, adjusted <i>p</i> = 0.032), and ADC<sub>rootmeansquared</sub> (<i>r</i> = -0.419, adjusted <i>p</i> = 0.032). In contrast, multiple T1 mapping features showed significant positive correlations with CVF (adjusted <i>p</i> < 0.05). <b>Conclusions</b>: ADC and T1 mapping provide complementary insights into tumor proliferation and extracellular matrix composition in neuroblastoma. These preclinical findings support further research to validate their potential clinical utility.

CancersVol. 17(21)
General Electric (Spain) (ES), Children's Hospital of Chongqing Medical University (CN), Chongqing Medical University (CN)
Openalex Percentile: Top 56%
Neuroblastoma Research and Treatments
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