Evidence map›Paper›PMID 39068573›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2024

Comparative Analysis of the Apparent Diffusion Coefficient and Diffusion Tensor Imaging in the Diagnosis of Prostate Cancer.

Kanat Karakoishin, Zhamilya Zholdybay, Akmaral Ainakulova, Yulduzkhan Dauytova, Vitaly Kamhen

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Asian Pacific journal of cancer prevention : APJCP, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

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0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Kanat KarakoishinDepartment of Visual Diagnostics, Asfendiyarov Kazakh National Medical University, Almaty, Republic of Kazakhstan.
Zhamilya ZholdybayDepartment of Visual Diagnostics, Asfendiyarov Kazakh National Medical University, Almaty, Republic of Kazakhstan.
Akmaral AinakulovaDepartment of Visual Diagnostics, Asfendiyarov Kazakh National Medical University, Almaty, Republic of Kazakhstan.
Yulduzkhan DauytovaDepartment of Visual Diagnostics, Asfendiyarov Kazakh National Medical University, Almaty, Republic of Kazakhstan.
Vitaly KamhenDepartment of Health Policy and Organization, Al-Farabi Kazakh National University, Almaty, Republic of Kazakhstan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe 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.

methods364 patients with suspected prostate cancer underwent multiparametric magnetic resonance imaging including diffusion tensor imaging.

resultsThe 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.

conclusionDiffusion 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.

Indexed as

Diffusion Tensor ImagingProstatic NeoplasmsAgedAged, 80 and overAnisotropyDiffusion Magnetic Resonance ImagingFollow-Up StudiesHumansMaleMiddle AgedMultiparametric Magnetic Resonance ImagingPrognosisProstateDiffusion-weighted imagingFractional AnisotropyGleason gradeMean DiffusivityMultiparametric Magnetic Resonance Imaging

Identifiers

PMID39068573
PMCPMC11480594

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