Comparative Analysis of the Apparent Diffusion Coefficient and Diffusion Tensor Imaging in the Diagnosis of Prostate Cancer
Karakoishin K. Zholdybay Z. Ainakulova A. Dauytova Y. Kamhen V.
2024Asian Pacific Organization for Cancer Prevention
Asian Pacific Journal of Cancer Prevention
2024#25Issue 72397 - 2408 pp.
Objective: The aim of this work was to demonstrate capabilities of diffusion tensor imaging as a diagnostic tool for prostate cancer in comparison with the apparent diffusion coefficient. Methods: 364 patients with suspected prostate cancer underwent multiparametric magnetic resonance imaging including diffusion tensor imaging. Results: The anatomical structure of the prostate obtained on T2-weighted imaging was compared with the apparent diffusion coefficient and diffusion tensor imaging maps. The rest of the gland (central and peripheral regions) were used as healthy areas. The apparent diffusion coefficient at diffusion-weighted imaging, fractional anisotropy and mean diffusivity at diffusion tensor imaging were evaluated in pathological zones. Cancer-suspicious areas of the prostate had high fractional anisotropy fractional anisotropy and low mean diffusivity compared to unaltered areas. Fractional anisotropy values were significantly elevated in central gland cancer, compared to normal tissue, and slightly elevated in peripheral zone cancer. Conclusion: Diffusion tensor imaging has the potential to identify prostate cancer with high accuracy and specificity. The combination of standard magnetic resonance imaging and diffusion tensor imaging can significantly improve the prognosis of the disease during active surveillance. The fractional anisotropy and mean diffusivity values can be useful in assessing the grade of malignancy and the radiolopathological correlation of the lesion.
diffusion , Mean diffusivity , multiparametric magnetic resonance imaging , weighted imaging
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Department of Visual Diagnostics, Asfendiyarov Kazakh National Medical University, Almaty, Kazakhstan
Department of Radiology, Medical Center “Sunkar”, Almaty, Kazakhstan
Department of Health Policy and Organization, Al-Farabi Kazakh National University, Almaty, Kazakhstan
Department of Visual Diagnostics
Department of Radiology
Department of Health Policy and Organization
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