Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/12186
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dc.contributor.authorDougall, Nadineen_UK
dc.contributor.authorNobili, Flavioen_UK
dc.contributor.authorEbmeier, Klaus Pen_UK
dc.date.accessioned2014-09-15T19:49:34Z-
dc.date.available2014-09-15T19:49:34Zen_UK
dc.date.issued2004-07-30en_UK
dc.identifier.urihttp://hdl.handle.net/1893/12186-
dc.description.abstractThe current clinical practice of reporting images obtained with single photon emission computed tomography (SPECT) with 99mTc-d,l-hexamethylpropylene amine oxime (99mTc HMPAO) images was examined by having 16 experts evaluate the appearance of SPECT images in patients with probable Alzheimer type dementia (ATD), patients with major depressive episode (DSM-IV), and healthy volunteers. The experts rated diagnostic criteria of scan appearance in respect of importance for their individual diagnostic practice. Experts were nuclear medicine specialists, psychiatrists and physicists taking part in a European multi-centre collaborative project. They examined 158 perfusion scans and then the same perfusion scans together with statistical parametric maps (SPMs). The sensitivity of experts' diagnostic judgments was significantly and negatively correlated with the importance they attributed to reduced regional perfusion in the parietal lobes. A corresponding positive correlation was observed for diagnostic specificity against depressed and healthy volunteers. Similar results were observed with SPMs, where in addition area under the receiver operating characteristic (ROC) curve was significantly reduced with raters' increased diagnostic reliance on frontal lobe perfusion deficits. Sensitivity was greater with SPM for patients younger than 70 years and with dementia severity. The more importance experts placed on parietal (symmetrical) perfusion deficits, the less sensitive and the more specific their diagnostic judgment was. Using multiple raters in large patient samples may provide a way of identifying successful explicit diagnostic strategies for clinical image analysis.en_UK
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.relationDougall N, Nobili F & Ebmeier KP (2004) Predicting the accuracy of a diagnosis of Alzheimer's disease with Tc-99m HMPAO single photon emission computed tomography. Psychiatry Research: Neuroimaging, 131 (2), pp. 157-168. https://doi.org/10.1016/j.pscychresns.2003.11.001en_UK
dc.rightsThe publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.en_UK
dc.rights.urihttp://www.rioxx.net/licenses/under-embargo-all-rights-reserveden_UK
dc.subjectageen_UK
dc.subjectdementiaen_UK
dc.subjectdepressionen_UK
dc.subjectdiagnosisen_UK
dc.subjectdifferentialen_UK
dc.subjectdiagnostic accuracyen_UK
dc.subjectparietal lobeen_UK
dc.subjectsensitivity and specificityen_UK
dc.subjectDementia therapyen_UK
dc.subjectAlzheimer Disease diagnosisen_UK
dc.subjectAlzheimer Disease therapyen_UK
dc.titlePredicting the accuracy of a diagnosis of Alzheimer's disease with Tc-99m HMPAO single photon emission computed tomographyen_UK
dc.typeJournal Articleen_UK
dc.rights.embargodate2999-12-31en_UK
dc.rights.embargoreason[Predicting the accuracy of a diagnosis of Alzheimer's.pdf] The publisher does not allow this work to be made publicly available in this Repository therefore there is an embargo on the full text of the work.en_UK
dc.identifier.doi10.1016/j.pscychresns.2003.11.001en_UK
dc.citation.jtitlePsychiatry Research: Neuroimagingen_UK
dc.citation.issn0925-4927en_UK
dc.citation.volume131en_UK
dc.citation.issue2en_UK
dc.citation.spage157en_UK
dc.citation.epage168en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.author.emailnadine.dougall@stir.ac.uken_UK
dc.contributor.affiliationNMAHPen_UK
dc.contributor.affiliationUniversity of Genoaen_UK
dc.contributor.affiliationUniversity of Edinburghen_UK
dc.identifier.isiWOS:000223730000007en_UK
dc.identifier.scopusid2-s2.0-4143145266en_UK
dc.identifier.wtid713689en_UK
dc.contributor.orcid0000-0003-3462-6960en_UK
dcterms.dateAccepted2004-07-30en_UK
dc.date.filedepositdate2013-04-22en_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorDougall, Nadine|0000-0003-3462-6960en_UK
local.rioxx.authorNobili, Flavio|en_UK
local.rioxx.authorEbmeier, Klaus P|en_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.freetoreaddate2999-12-31en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/under-embargo-all-rights-reserved||en_UK
local.rioxx.filenamePredicting the accuracy of a diagnosis of Alzheimer's.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source0925-4927en_UK
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