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SUN Pengfei, MOU Fuling, MA Li, FU Zhengfeng. Correlation Between Apparent Diffusion Coefficient and IDH-1/1p19q Genotype of Glioma[J]. Cancer Research on Prevention and Treatment, 2023, 50(3): 271-275. DOI: 10.3971/j.issn.1000-8578.2023.22.0698
Citation: SUN Pengfei, MOU Fuling, MA Li, FU Zhengfeng. Correlation Between Apparent Diffusion Coefficient and IDH-1/1p19q Genotype of Glioma[J]. Cancer Research on Prevention and Treatment, 2023, 50(3): 271-275. DOI: 10.3971/j.issn.1000-8578.2023.22.0698

Correlation Between Apparent Diffusion Coefficient and IDH-1/1p19q Genotype of Glioma

Funding: 

Talent Introduction Project of Lanzhou University Second Hospital ynyjrckyzx2015-3-06

More Information
  • Received Date: June 21, 2022
  • Revised Date: September 28, 2022
  • Available Online: January 12, 2024
  • Objective 

    To investigate the correlation between ADC value and glioma IDH-1/1p19q genotype.

    Methods 

    The MRI features and molecular pathological results of 69 patients with pathologically confirmed diagnosis of WHO grade Ⅱ/Ⅲ glioma between March 2013 and December 2020 were retrospectively analyzed. The diagnostic performance of ADC values on glioma genotypes (IDH-1, 1p19q) was evaluated using the ROC curve of the subjects' working characteristics.

    Results 

    The ADCmean, ADCmin, rADCmean, and rADCmin in the IDH-1 mutation group were significantly higher than those in the IDH-1 wild group (P < 0.05, P < 0.01, P < 0.05, P < 0.01). The use of the rADCmin threshold (0.979×103mm2/s) had the highest efficacy (AUC=0.770) for diagnosis of IDH-1 mutant and IDH-1 wild-type gliomas as well as sensitivity and specificity of 84.61% and 59.09%, respectively.

    Conclusion 

    ADC can be used as an imaging biomarker for noninvasive prediction of IDH-1 mutant and wild-type Ⅱ /Ⅲ gliomas.

  • Competing interests: The authors declare that they have no competing interests.

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