{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T18:17:44Z","timestamp":1780078664034,"version":"3.54.0"},"reference-count":21,"publisher":"Oxford University Press (OUP)","issue":"2","license":[{"start":{"date-parts":[[2026,2,17]],"date-time":"2026-02-17T00:00:00Z","timestamp":1771286400000},"content-version":"vor","delay-in-days":43,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,1,5]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>Although peripheral blood flow cytometry (PBFC) can aid in the diagnosis of hematolymphoid malignancies, it is often ordered in clinical situations for which it is not useful. We hypothesized that patient clinical data could be used to design an algorithm to guide better test utilization and performance.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Patient records for 250 consecutive PBFC orders were reviewed to determine test indication, patient demographics and history, blood count, and leukocyte differential. These variables were analyzed to determine whether they could predict the detection of hematolymphoid malignancy. Using these data, a test ordering algorithm was designed to maximize positive and minimize negative results, which was then validated on an additional set of 250 consecutive cases.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Peripheral blood flow cytometry was infrequently positive for most indications. The presence of circulating blasts, history of hematolymphoid malignancy, and lymphocytosis or pancytopenia in patients 50\u2009years of age and older are most predictive of positive results. Application of an algorithm incorporating these criteria would substantially reduce PBFC utilization while increasing the fraction of positive cases. Similar results were seen when the algorithm was applied to an independent validation set.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>An evidence-based algorithm for ordering PBFC based on 5 clinical factors can substantially reduce utilization and increase positive results.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/ajcp\/aqaf152","type":"journal-article","created":{"date-parts":[[2025,12,30]],"date-time":"2025-12-30T12:37:28Z","timestamp":1767098248000},"source":"Crossref","is-referenced-by-count":1,"title":["An evidence-based ordering algorithm for appropriate utilization of peripheral blood flow cytometry for hematologic neoplasms"],"prefix":"10.1093","volume":"165","author":[{"given":"Anna","family":"Dar","sequence":"first","affiliation":[{"name":"Department of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center , Nashville, TN,","place":["United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Adam C","family":"Seegmiller","sequence":"additional","affiliation":[{"name":"Department of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center , Nashville, TN,","place":["United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2026,2,16]]},"reference":[{"key":"2026021619321218100_aqaf152-B1","doi-asserted-by":"crossref","first-page":"351","DOI":"10.1016\/j.cll.2023.04.010","article-title":"Advances in monitoring and prognostication for lymphoma by flow cytometry","volume":"43","author":"Singh","year":"2023","journal-title":"Clin Lab Med"},{"key":"2026021619321218100_aqaf152-B2","doi-asserted-by":"crossref","first-page":"377","DOI":"10.1016\/j.cll.2023.04.005","article-title":"Advances in acute myeloid leukemia classification, prognostication and monitoring by flow cytometry","volume":"43","author":"Lucas","year":"2023","journal-title":"Clin Lab Med"},{"key":"2026021619321218100_aqaf152-B3","first-page":"S5","article-title":"Bethesda International Consensus recommendations on the flow cytometric immunophenotypic analysis of hematolymphoid neoplasia: medical indications","volume":"72(suppl 1)","author":"David","year":"2006","journal-title":"Cytometry B Clin Cytom"},{"key":"2026021619321218100_aqaf152-B4","year":"2025"},{"key":"2026021619321218100_aqaf152-B5","first-page":"1296","article-title":"Utilization of flow cytometry for diagnosis of hematologic malignancies in Thailand: increasing trends and diagnostic yields in 7,982 samples","volume":"97","author":"Promsuwicha","year":"2014","journal-title":"J Med Assoc Thai"},{"key":"2026021619321218100_aqaf152-B6","doi-asserted-by":"crossref","first-page":"S108","DOI":"10.1093\/ajcp\/aqac126.229","article-title":"Peripheral blood flow cytometry outside of recommended indications: a potential source of 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pediatric acute leukemia","volume":"64","author":"Metrock","year":"2017","journal-title":"Pediatr Blood Cancer"},{"key":"2026021619321218100_aqaf152-B16","doi-asserted-by":"crossref","first-page":"e27453","DOI":"10.1002\/pbc.27453","article-title":"Peripheral blood flow cytometry for the diagnosis of pediatric acute leukemia: highly reliable with rare exceptions","volume":"66","author":"Cheng","year":"2019","journal-title":"Pediatr Blood Cancer"},{"key":"2026021619321218100_aqaf152-B17","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1186\/s13012-020-01059-y","article-title":"Clinical decision support improves the appropriateness of laboratory test ordering in primary care without increasing diagnostic error: the ELMO cluster randomized trial","volume":"15","author":"Delvaux","year":"2020","journal-title":"Implement Sci"},{"key":"2026021619321218100_aqaf152-B18","doi-asserted-by":"crossref","first-page":"1187","DOI":"10.1093\/cid\/ciac074","article-title":"Clinical decision 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