{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,27]],"date-time":"2026-05-27T20:00:10Z","timestamp":1779912010271,"version":"3.53.1"},"reference-count":12,"publisher":"Elsevier BV","issue":"5","license":[{"start":{"date-parts":[[2018,5,1]],"date-time":"2018-05-01T00:00:00Z","timestamp":1525132800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"content-domain":{"domain":["academicradiology.org","clinicalkey.jp","clinicalkey.com","clinicalkey.es","clinicalkey.com.au","clinicalkey.fr","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Academic Radiology"],"published-print":{"date-parts":[[2018,5]]},"DOI":"10.1016\/j.acra.2017.11.009","type":"journal-article","created":{"date-parts":[[2018,1,17]],"date-time":"2018-01-17T18:20:16Z","timestamp":1516213216000},"page":"673-680","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":16,"title":["Automated Radiology-Pathology Module Correlation Using a Novel Report Matching Algorithm by Organ System"],"prefix":"10.1016","volume":"25","author":[{"given":"Bari","family":"Dane","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ankur","family":"Doshi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Soterios","family":"Gfytopoulos","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Priya","family":"Bhattacharji","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael","family":"Recht","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"William","family":"Moore","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.acra.2017.11.009_bib0010","doi-asserted-by":"crossref","first-page":"623","DOI":"10.1148\/radiol.11111357","article-title":"A history of radiologic pathology correlation at the Armed Forces Institute of Pathology and its evolution into the American Institute for Radiologic Pathology","volume":"262","author":"Murphey","year":"2012","journal-title":"Radiology"},{"key":"10.1016\/j.acra.2017.11.009_bib0020","doi-asserted-by":"crossref","first-page":"1334","DOI":"10.1148\/rg.2016150259","article-title":"Pulmonary alveolar microlithiasis: AIRP best cases in radiologic-pathologic correlation","volume":"36","author":"Delic","year":"2016","journal-title":"Radiographics"},{"key":"10.1016\/j.acra.2017.11.009_bib0025","doi-asserted-by":"crossref","first-page":"469","DOI":"10.1148\/rg.322115024","article-title":"AIRP best cases in radiologic-pathologic correlation: pulmonary sarcoidosis complicated by aspergilloma formation","volume":"32","author":"Kantartzis","year":"2012","journal-title":"Radiographics"},{"key":"10.1016\/j.acra.2017.11.009_bib0030","doi-asserted-by":"crossref","first-page":"1533","DOI":"10.1148\/rg.2016150245","article-title":"Desmoplastic small round cell tumor of the kidney: AIRP best cases in radiologic-pathologic correlation","volume":"36","author":"Walton","year":"2016","journal-title":"Radiographics"},{"key":"10.1016\/j.acra.2017.11.009_bib0035","doi-asserted-by":"crossref","first-page":"889","DOI":"10.1016\/j.acra.2016.01.019","article-title":"Radiologic-pathologic correlation\u2014an advanced fourth-year elective: how we do it","volume":"23","author":"Hartman","year":"2016","journal-title":"Acad Radiol"},{"key":"10.1016\/j.acra.2017.11.009_bib0040","series-title":"Black box thinking: why most people never learn from their mistakes\u2014but some do","author":"Syed","year":"2015"},{"key":"10.1016\/j.acra.2017.11.009_bib0045","doi-asserted-by":"crossref","DOI":"10.1186\/1741-7015-10-100","article-title":"Integrating pathology and radiology disciplines: an emerging opportunity?","author":"Sorace","year":"2012","journal-title":"BMC Med"},{"key":"10.1016\/j.acra.2017.11.009_bib0050","doi-asserted-by":"crossref","first-page":"210","DOI":"10.1016\/j.jacr.2007.09.004","article-title":"A data warehouse for integrating radiologic and pathologic data","volume":"5","author":"Rubin","year":"2008","journal-title":"J Am Coll Radiol"},{"key":"10.1016\/j.acra.2017.11.009_bib0055","doi-asserted-by":"crossref","first-page":"381","DOI":"10.1148\/127.2.381","article-title":"Immediate pathologic confirmation of radiologic interpretations by computer feedback","volume":"127","author":"Greenes","year":"1978","journal-title":"Radiology"},{"key":"10.1016\/j.acra.2017.11.009_bib0060","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1016\/j.acra.2015.09.009","article-title":"RadPath: a web-based system for integrating and correlating radiology and pathology findings during cancer diagnosis","volume":"23","author":"Arnold","year":"2016","journal-title":"Acad Radiol"},{"key":"10.1016\/j.acra.2017.11.009_bib0065","series-title":"Keeping abreast of breast imagers: radiology pathology correlation for the rest of us","author":"Kelehan","year":"2016"},{"key":"10.1016\/j.acra.2017.11.009_bib0070","author":"American Institute for Radiologic Pathology"}],"container-title":["Academic Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1076633217304877?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1076633217304877?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2018,8,24]],"date-time":"2018-08-24T17:28:15Z","timestamp":1535131695000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1076633217304877"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,5]]},"references-count":12,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2018,5]]}},"alternative-id":["S1076633217304877"],"URL":"https:\/\/doi.org\/10.1016\/j.acra.2017.11.009","relation":{},"ISSN":["1076-6332"],"issn-type":[{"value":"1076-6332","type":"print"}],"subject":[],"published":{"date-parts":[[2018,5]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Automated Radiology-Pathology Module Correlation Using a Novel Report Matching Algorithm by Organ System","name":"articletitle","label":"Article Title"},{"value":"Academic Radiology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.acra.2017.11.009","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2018 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.","name":"copyright","label":"Copyright"}]}}