File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Pilot study on evaluation of any correlation between MR perfusion (Ktrans) and diffusion (apparent diffusion coefficient) parameters in brain tumors at 3 Tesla.

TitlePilot study on evaluation of any correlation between MR perfusion (Ktrans) and diffusion (apparent diffusion coefficient) parameters in brain tumors at 3 Tesla.
Authors
KeywordsPermeability
Dynamic contrast-enhanced MRI
Diffusion-weighted imaging
Brain tumor
Blood-brain barrier
Apparent diffusion coefficient
Issue Date2012
Publishere-MED Ltd.. The Journal's web site is located at http://www.cancerimaging.org
Citation
Cancer Imaging, 2012, v. 12 n. 1, p. 1-6 How to Cite?
AbstractPurpose: To assess any correlation of volume transfer constant (K trans) with apparent diffusion coefficient (ADC) in different brain tumor types at 3 T magnetic resonance (MR) imaging. Materials and methods: Thirteen patients with brain tumors (8 men, 5 women; mean age 54.6 ± 17.7 years) were enrolled in this retrospective study. All patients underwent dynamic contrast-enhanced T 1-weighted MR perfusion and diffusion-weighted imaging using a 3 T scanner. K trans was estimated by specially designed software. For each tumor, regions of interest (ROIs) were manually selected on corresponding K trans and ADC maps. Pearson correlation coefficients were obtained for maximum, mean and minimum values of K trans and ADC of all ROIs. Based on clinicopathologic results, the final diagnoses of patients were glioblastoma multiforme (3), low-grade to anaplastic gliomas (4), meningiomas (3) and metastatic tumors (3). Results: K trans(max) values were significantly inversely correlated with ADC(min) values (r=-0.536, P<0.001) and ADC(mean) values (r=-0.465, P<0.001). K trans(mean) and K trans(min) values were significantly inversely correlated with ADC(mean) (r=-0.228, P=0.038) and ADC(max) values (r=-0.355, P=0.001), respectively. Conclusion: We found that irrespective of brain tumor type, there is an inverse correlation between ADC and K trans. Our findings highlight an intricate relationship between vascular permeability and the tumor microenvironment, probably modulating and/or interacting with changes such as increased cellularity, ischemic insult and varying extracellular matrix composition. © 2012 International Cancer Imaging Society.
Persistent Identifierhttp://hdl.handle.net/10722/150927
ISSN
2015 SCImago Journal Rankings: 0.670
PubMed Central ID
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorChu, JPen_HK
dc.contributor.authorMak, HKFen_HK
dc.contributor.authorYau, KKWen_HK
dc.contributor.authorZhang, Len_HK
dc.contributor.authorTsang, Jen_HK
dc.contributor.authorChan, Qen_HK
dc.contributor.authorLeung, GKKen_HK
dc.date.accessioned2012-06-26T06:14:34Z-
dc.date.available2012-06-26T06:14:34Z-
dc.date.issued2012en_HK
dc.identifier.citationCancer Imaging, 2012, v. 12 n. 1, p. 1-6en_HK
dc.identifier.issn1740-5025en_HK
dc.identifier.urihttp://hdl.handle.net/10722/150927-
dc.description.abstractPurpose: To assess any correlation of volume transfer constant (K trans) with apparent diffusion coefficient (ADC) in different brain tumor types at 3 T magnetic resonance (MR) imaging. Materials and methods: Thirteen patients with brain tumors (8 men, 5 women; mean age 54.6 ± 17.7 years) were enrolled in this retrospective study. All patients underwent dynamic contrast-enhanced T 1-weighted MR perfusion and diffusion-weighted imaging using a 3 T scanner. K trans was estimated by specially designed software. For each tumor, regions of interest (ROIs) were manually selected on corresponding K trans and ADC maps. Pearson correlation coefficients were obtained for maximum, mean and minimum values of K trans and ADC of all ROIs. Based on clinicopathologic results, the final diagnoses of patients were glioblastoma multiforme (3), low-grade to anaplastic gliomas (4), meningiomas (3) and metastatic tumors (3). Results: K trans(max) values were significantly inversely correlated with ADC(min) values (r=-0.536, P<0.001) and ADC(mean) values (r=-0.465, P<0.001). K trans(mean) and K trans(min) values were significantly inversely correlated with ADC(mean) (r=-0.228, P=0.038) and ADC(max) values (r=-0.355, P=0.001), respectively. Conclusion: We found that irrespective of brain tumor type, there is an inverse correlation between ADC and K trans. Our findings highlight an intricate relationship between vascular permeability and the tumor microenvironment, probably modulating and/or interacting with changes such as increased cellularity, ischemic insult and varying extracellular matrix composition. © 2012 International Cancer Imaging Society.en_HK
dc.languageengen_US
dc.publishere-MED Ltd.. The Journal's web site is located at http://www.cancerimaging.org-
dc.relation.ispartofCancer Imagingen_HK
dc.subjectPermeability-
dc.subjectDynamic contrast-enhanced MRI-
dc.subjectDiffusion-weighted imaging-
dc.subjectBrain tumor-
dc.subjectBlood-brain barrier-
dc.subjectApparent diffusion coefficient-
dc.subject.meshTumor microenvironmenten_US
dc.subject.meshRetrospective studiesen_US
dc.subject.meshPerfusionen_US
dc.subject.meshMiddle ageden_US
dc.subject.meshMeningioma - Blood Supply - Metabolism - Pathologyen_US
dc.subject.meshMeningeal neoplasms - Blood supply - Metabolism - Pathologyen_US
dc.subject.meshMaleen_US
dc.subject.meshIschemia - Pathologyen_US
dc.subject.meshHumansen_US
dc.subject.meshGlioma - Blood Supply - Metabolism - Pathologyen_US
dc.subject.meshGlioblastoma - Blood supply - Metabolism - Pathologyen_US
dc.subject.meshFemaleen_US
dc.subject.meshExtracellular matrix - Pathologyen_US
dc.subject.meshDiffusion magnetic resonance imaging - Methodsen_US
dc.subject.meshDiffusionen_US
dc.subject.meshCarcinoma - Blood supply - Metabolism - Pathology - Secondaryen_US
dc.subject.meshCapillary permeabilityen_US
dc.subject.meshBrain neoplasms - Blood supply - Metabolism - Pathology - Secondaryen_US
dc.subject.meshBody wateren_US
dc.subject.meshBlood-brain barrieren_US
dc.subject.meshAged, 80 and overen_US
dc.subject.meshAgeden_US
dc.subject.meshAdulten_US
dc.subject.meshAdrenal cortex hormones - Therapeutic useen_US
dc.titlePilot study on evaluation of any correlation between MR perfusion (Ktrans) and diffusion (apparent diffusion coefficient) parameters in brain tumors at 3 Tesla.en_HK
dc.typeArticleen_HK
dc.identifier.emailMak, HKF: makkf@hkucc.hku.hken_US
dc.identifier.emailLeung, GKK: gilberto@hku.hken_US
dc.identifier.authorityMak, HKF=rp00533en_US
dc.identifier.authorityLeung, GKK=rp00522en_US
dc.description.naturelink_to_OA_fulltexten_US
dc.identifier.doi10.1102/1470-7330.2012.0001en_HK
dc.identifier.pmid22275724-
dc.identifier.pmcidPMC3266579-
dc.identifier.scopuseid_2-s2.0-84863043940en_HK
dc.identifier.hkuros209519-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-84857016072&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume12en_HK
dc.identifier.issue1en_HK
dc.identifier.spage1en_HK
dc.identifier.epage6en_HK
dc.identifier.eissn1470-7330-
dc.identifier.isiWOS:000305506400001-
dc.publisher.placeUnited Kingdom-
dc.identifier.scopusauthoridLeung, GKK=37077484300en_US
dc.identifier.scopusauthoridChan, Q=54985929800en_US
dc.identifier.scopusauthoridTsang, J=35141929400en_US
dc.identifier.scopusauthoridZhang, L=54984556400en_US
dc.identifier.scopusauthoridYau, KKW=7101941425en_US
dc.identifier.scopusauthoridMak, HKF=7004699149en_US
dc.identifier.scopusauthoridChu, JP=54987353300en_US

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats