{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T19:12:35Z","timestamp":1775675555174,"version":"3.50.1"},"reference-count":20,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2023,3,9]],"date-time":"2023-03-09T00:00:00Z","timestamp":1678320000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Cytometry Part B Clinical"],"published-print":{"date-parts":[[2023,11]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Early T cell precursor\u2010acute lymphoblastic leukemia (ETP\u2010ALL) is a hematolymphoid malignancy where the blasts demonstrate T cell differentiation markers along with stem cell and myeloid antigen expression. The differential diagnosis of ETP\u2010ALL from non\u2010ETP ALL and mixed phenotype acute leukemia is often challenging due to its overlapping immunophenotypic picture with co\u2010expression of myeloid antigens. In this study, we endeavored to describe the immune\u2010phenotype profile of ETP\u2010ALL in our patients and compared the utility of four different scoring systems for better discrimination of these entities.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>This retrospective analysis included 31 ETP\u2010ALL out of 860 acute leukemia cases consecutively diagnosed at the two tertiary care centers. Flowcytometry\u2010based immunophenotype was reviewed for all the cases, and the utility of four flow\u2010based objective scorings was assessed for the diagnosis of ETP\u2010ALL. Receiver operating curves were drawn to compare the different flow\u2010based scoring systems.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The prevalence of ETP\u2010ALL was 40% (<jats:italic>n<\/jats:italic>\u00a0=\u00a031\/77\u2009T\u2010ALL) in our study group, comprised mainly of adults with a median age of 20\u2009years. The five\u2010marker scoring system had the maximum area under the curve, followed by the seven\u2010marker scoring system. A cut\u2010off of \u22652.5 was more specific (sensitivity: 91%; specificity: 100%), while a score of \u22651.5 was more sensitive but slightly less specific (sensitivity: 94%, specificity: 96%).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>The WHO criteria for the diagnosis of ETP\u2010ALL should be followed across all laboratories to avoid confusion and for better treatment stratification. Flow\u2010based scoring systems can be objectively employed for better detection of cases.<\/jats:p><\/jats:sec>","DOI":"10.1002\/cyto.b.22119","type":"journal-article","created":{"date-parts":[[2023,3,9]],"date-time":"2023-03-09T12:20:53Z","timestamp":1678364453000},"page":"453-459","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Comparison of flowcytometry\u2010based scoring system for the diagnosis of early T precursor\u2010acute lymphoblastic leukemia"],"prefix":"10.1002","volume":"104","author":[{"given":"Deepak","family":"Marballi Basavaraju","sequence":"first","affiliation":[{"name":"Department of Laboratory Hematology Narayana Hrudayalaya  Bangalore India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1494-3064","authenticated-orcid":false,"given":"Shruti","family":"Mishra","sequence":"additional","affiliation":[{"name":"Bone Marrow Transplantation and Stem Cell Research Centre, IMS, BHU  Varanasi India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gaurav","family":"Chhabra","sequence":"additional","affiliation":[{"name":"Department of Pathology and Laboratory Medicine, AIIMS  Bhubaneswar India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sudarshan","family":"Chougule","sequence":"additional","affiliation":[{"name":"Department of Laboratory Hematology Narayana Hrudayalaya  Bangalore India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2023,3,9]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1182\/blood-2016-03-643544"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1200\/JCO.2016.71.8585"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1111\/ijlh.13621"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1111\/ejh.12238"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/S2352-3026(15)00254-9"},{"key":"e_1_2_8_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/S1470-2045(08)70314-0"},{"key":"e_1_2_8_8_1","doi-asserted-by":"publisher","DOI":"10.1111\/ijlh.12942"},{"key":"e_1_2_8_9_1","doi-asserted-by":"publisher","DOI":"10.3390\/cancers14081873"},{"key":"e_1_2_8_10_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-2141.2011.08955.x"},{"key":"e_1_2_8_11_1","doi-asserted-by":"publisher","DOI":"10.1182\/blood-2015-08-661702"},{"key":"e_1_2_8_12_1","doi-asserted-by":"publisher","DOI":"10.1111\/bjh.15960"},{"key":"e_1_2_8_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11684-012-0224-4"},{"key":"e_1_2_8_14_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0053190"},{"key":"e_1_2_8_15_1","doi-asserted-by":"publisher","DOI":"10.1038\/bcj.2011.49"},{"key":"e_1_2_8_16_1","doi-asserted-by":"publisher","DOI":"10.3389\/fonc.2019.00316"},{"key":"e_1_2_8_17_1","doi-asserted-by":"publisher","DOI":"10.1111\/bjh.12882"},{"key":"e_1_2_8_18_1","doi-asserted-by":"publisher","DOI":"10.1182\/blood.V114.22.9.9"},{"key":"e_1_2_8_19_1","doi-asserted-by":"publisher","DOI":"10.2147\/IJGM.S294715"},{"key":"e_1_2_8_20_1","doi-asserted-by":"publisher","DOI":"10.1038\/nature10725"},{"key":"e_1_2_8_21_1","doi-asserted-by":"publisher","DOI":"10.3324\/haematol.2013.090233"}],"container-title":["Cytometry 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