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Article: Relationship between intravoxel incoherent motion diffusion-weighted MRI and dynamic contrast-enhanced MRI in tissue perfusion of cervical cancers

TitleRelationship between intravoxel incoherent motion diffusion-weighted MRI and dynamic contrast-enhanced MRI in tissue perfusion of cervical cancers
Authors
Keywordsperfusion
intravoxel incoherent motion
DCE-MRI
cervical cancer
IVIM
Issue Date2015
Citation
Journal of Magnetic Resonance Imaging, 2015, v. 42, n. 2, p. 454-459 How to Cite?
Abstract© 2014 Wiley Periodicals, Inc.Purpose To investigate the relationship between intravoxel incoherent motion (IVIM) diffusion-weighted magnetic resonance imaging (MRI) and dynamic contrast-enhanced MRI (DCE-MRI) in cervical cancer perfusion. Materials and Methods Prospective newly diagnosed cervical cancer patients underwent diffusion-weighted MRI (13 b-values: 1-1000 s/mm2) and DCE-MRI. The IVIM perfusion parameters, perfusion fraction (f), pseudodiffusion coefficient (D∗), and flow-related parameter (fD∗), were derived from a biexponential decay model. DCE-MRI was analyzed with a pharmacokinetic model and signal-time curve to derive the amplitude factor (A), estimated volume transfer constant between blood plasma, and the extravascular extracellular space (estKtrans), maximum relative enhancement (MaxRE), and area under the signal-time curve (AUC). Spearman's rank correlation coefficient (r) evaluated the correlative relationships. Results The f = 13.51%-±-1.76%, D∗ = 71.72-±-7.55 × 10-3 mm2/s, fD∗ = 9.64-±-1.28 × 10-3 mm2/s, A = 1.41-±-0.43, estKtrans = 0.19-±-0.06 s-1, MaxRE of 120.02-±-21.07%, and AUC 212,393-±-54,423 was found in 25 cervical cancer patients. Statistically significant positive correlations were found between fD∗ and estKtrans (r = 0.42, P = 0.038), fD∗ and A (r = 0.50, P = 0.011), fD∗ and MaxRE (r = 0.52, P = 0.008), f and AUC (r = 0.58, P = 0.003). Conclusion: The IVIM perfusion parameters showed moderate to good correlations with quantitative and semiquantitative perfusion parameters derived from DCE-MRI in cervical cancer.
Persistent Identifierhttp://hdl.handle.net/10722/239764
ISSN
2023 Impact Factor: 3.3
2023 SCImago Journal Rankings: 1.339
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLee, Elaine Yuen Phin-
dc.contributor.authorHui, Edward Sai Kam-
dc.contributor.authorChan, Karen Kar Loen-
dc.contributor.authorTse, Ka Yu-
dc.contributor.authorKwong, Wai Kay-
dc.contributor.authorChang, Tien Yee-
dc.contributor.authorChan, Queenie-
dc.contributor.authorKhong, Pek Lan-
dc.date.accessioned2017-04-03T02:41:21Z-
dc.date.available2017-04-03T02:41:21Z-
dc.date.issued2015-
dc.identifier.citationJournal of Magnetic Resonance Imaging, 2015, v. 42, n. 2, p. 454-459-
dc.identifier.issn1053-1807-
dc.identifier.urihttp://hdl.handle.net/10722/239764-
dc.description.abstract© 2014 Wiley Periodicals, Inc.Purpose To investigate the relationship between intravoxel incoherent motion (IVIM) diffusion-weighted magnetic resonance imaging (MRI) and dynamic contrast-enhanced MRI (DCE-MRI) in cervical cancer perfusion. Materials and Methods Prospective newly diagnosed cervical cancer patients underwent diffusion-weighted MRI (13 b-values: 1-1000 s/mm<sup>2</sup>) and DCE-MRI. The IVIM perfusion parameters, perfusion fraction (f), pseudodiffusion coefficient (D∗), and flow-related parameter (fD∗), were derived from a biexponential decay model. DCE-MRI was analyzed with a pharmacokinetic model and signal-time curve to derive the amplitude factor (A), estimated volume transfer constant between blood plasma, and the extravascular extracellular space (<inf>est</inf>K<sup>trans</sup>), maximum relative enhancement (MaxRE), and area under the signal-time curve (AUC). Spearman's rank correlation coefficient (r) evaluated the correlative relationships. Results The f = 13.51%-±-1.76%, D∗ = 71.72-±-7.55 × 10<sup>-3</sup> mm<sup>2</sup>/s, fD∗ = 9.64-±-1.28 × 10<sup>-3</sup> mm<sup>2</sup>/s, A = 1.41-±-0.43, <inf>est</inf>K<sup>trans</sup> = 0.19-±-0.06 s<sup>-1</sup>, MaxRE of 120.02-±-21.07%, and AUC 212,393-±-54,423 was found in 25 cervical cancer patients. Statistically significant positive correlations were found between fD∗ and <inf>est</inf>K<sup>trans</sup> (r = 0.42, P = 0.038), fD∗ and A (r = 0.50, P = 0.011), fD∗ and MaxRE (r = 0.52, P = 0.008), f and AUC (r = 0.58, P = 0.003). Conclusion: The IVIM perfusion parameters showed moderate to good correlations with quantitative and semiquantitative perfusion parameters derived from DCE-MRI in cervical cancer.-
dc.languageeng-
dc.relation.ispartofJournal of Magnetic Resonance Imaging-
dc.subjectperfusion-
dc.subjectintravoxel incoherent motion-
dc.subjectDCE-MRI-
dc.subjectcervical cancer-
dc.subjectIVIM-
dc.titleRelationship between intravoxel incoherent motion diffusion-weighted MRI and dynamic contrast-enhanced MRI in tissue perfusion of cervical cancers-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1002/jmri.24808-
dc.identifier.pmid25413245-
dc.identifier.scopuseid_2-s2.0-84937552530-
dc.identifier.hkuros241731-
dc.identifier.volume42-
dc.identifier.issue2-
dc.identifier.spage454-
dc.identifier.epage459-
dc.identifier.eissn1522-2586-
dc.identifier.isiWOS:000358258600024-
dc.identifier.issnl1053-1807-

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