Role of Apparent Diffusion Coefficient Value and Apparent Diffusion Coefficient Ratio as Prognostic Factors for Prostate Cancer Aggressiveness

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dc.contributor.authorBuss, Arvids
dc.contributor.authorRadziņa, Maija
dc.contributor.authorLiepa, Māra
dc.contributor.authorBirkenfelds, Edgars
dc.contributor.authorSaule, Laura
dc.contributor.authorMiculis, Karlis
dc.contributor.authorMiķelsone, Madara
dc.contributor.authorVjaters, Egils
dc.contributor.institutionDepartment of Radiology
dc.contributor.institutionStatistics Unit
dc.date.accessioned2024-11-21T12:35:02Z
dc.date.available2024-11-21T12:35:02Z
dc.date.issued2024-11
dc.descriptionPublisher Copyright: © 2024 by the authors.
dc.description.abstractBackground: Prostate cancer is one of the most prevalent cancers in the male population. To determine the aggressiveness of suspected lesions precisely, predictive models are increasingly being developed using quantitative MRI measurements, and particularly the ADC value. This study aimed to determine whether ADC values could be used to establish the aggressiveness of prostate cancer. Methods: A retrospective single-center study included 398 patients with prostate cancer who underwent a multiparametric MRI prior to radical prostatectomy. DWI ADC values were measured (µm 2/s) using b values of 50 and 1000. The dominant lesion best visualized on MRI was analyzed. The ADC values of the index lesion and reference tissue were compared to tumor aggressivity according to the Gleason grade groups based on radical prostatectomy results. Statistical analysis was performed using the Mann–Whitney U test, Kruskal–Wallis H test, Spearman’s rank correlation, and ROC curves. Results: A very strong negative correlation (rs = −0.846, p < 0.001) between ADC and GS was found. ROC analysis revealed an AUC of 0.958 and an ADC threshold value of 758 µm 2/s in clinically significant prostate cancer diagnoses using the absolute ADC value, with no advantage of using the ADC ratio over the absolute ADC value being identified. Conclusion: DWI ADC values and the calculated ADC ratio have a significant inverse correlation with GS. The findings indicate a strong capability in determining prostate cancer aggressiveness, as well as the possibility of assisting with assigning PI-RADS categories using ADC as quantitative metrics.en
dc.description.statusPeer reviewed
dc.format.extent1408634
dc.identifier.citationBuss, A, Radziņa, M, Liepa, M, Birkenfelds, E, Saule, L, Miculis, K, Miķelsone, M & Vjaters, E 2024, 'Role of Apparent Diffusion Coefficient Value and Apparent Diffusion Coefficient Ratio as Prognostic Factors for Prostate Cancer Aggressiveness', Diagnostics, vol. 14, no. 21, 2438. https://doi.org/10.3390/diagnostics14212438
dc.identifier.doi10.3390/diagnostics14212438
dc.identifier.issn2075-4418
dc.identifier.otherPubMedCentral: PMC11545188
dc.identifier.urihttps://dspace.rsu.lv/jspui/handle/123456789/16907
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85208589837&partnerID=8YFLogxK
dc.language.isoeng
dc.relation.ispartofDiagnostics
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectADC value
dc.subjectADC ratio
dc.subjectprostate cancer
dc.subjectmultiparametric MRI
dc.subjectGS
dc.subjecttumor aggressiveness
dc.subject3.2 Clinical medicine
dc.subject1.1. Scientific article indexed in Web of Science and/or Scopus database
dc.subjectSDG 3 - Good Health and Well-being
dc.titleRole of Apparent Diffusion Coefficient Value and Apparent Diffusion Coefficient Ratio as Prognostic Factors for Prostate Cancer Aggressivenessen
dc.type/dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/article

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