{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T14:10:08Z","timestamp":1777558208638,"version":"3.51.4"},"reference-count":29,"publisher":"Public Library of Science (PLoS)","issue":"2","license":[{"start":{"date-parts":[[2023,2,17]],"date-time":"2023-02-17T00:00:00Z","timestamp":1676592000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001769","name":"Charles Sturt University","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100001769","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS ONE"],"abstract":"<jats:p>The purpose of this work is to present a computer assisted diagnostic tool for radiologists in their diagnosis of Alzheimer\u2019s disease. A statistical likelihood-ratio procedure from signal detection theory was implemented in the detection of Alzheimer\u2019s disease. The probability density functions of the likelihood ratio were constructed by using medial temporal lobe (MTL) volumes of patients with Alzheimer\u2019s disease (AD) and normal controls (NC). The volumes of MTL as well as other anatomical regions of the brains were calculated by the FreeSurfer software using T1 weighted MRI images. The MRI images of AD and NC were downloaded from the database of Alzheimer\u2019s disease neuroimaging initiative (ADNI). A separate dataset of minimal interval resonance imaging in Alzheimer\u2019s disease (MIRIAD) was used for diagnostic testing. A sensitivity of 89.1% and specificity of 87.0% were achieved for the MIRIAD dataset which are better than the 85% sensitivity and specificity achieved by the best radiologists without input of other patient information.<\/jats:p>","DOI":"10.1371\/journal.pone.0279574","type":"journal-article","created":{"date-parts":[[2023,2,17]],"date-time":"2023-02-17T18:46:14Z","timestamp":1676659574000},"page":"e0279574","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":6,"title":["Computer assisted diagnosis of Alzheimer\u2019s disease using statistical likelihood-ratio test"],"prefix":"10.1371","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0918-2624","authenticated-orcid":true,"given":"Xiaoming","family":"Zheng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Justin","family":"Cawood","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chris","family":"Hayre","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8674-8965","authenticated-orcid":true,"given":"Shaoyu","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"name":"for the Alzheimer\u2019s Disease Neuroimaging Initiative Group","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"340","published-online":{"date-parts":[[2023,2,17]]},"reference":[{"key":"pone.0279574.ref001","unstructured":"Alzheimer\u2019s Association. http:\/\/www.alz.org. 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