{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,13]],"date-time":"2026-09-13T20:18:20Z","timestamp":1789330700168,"version":"build-2803163510"},"reference-count":15,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T00:00:00Z","timestamp":1743033600000},"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":["Int J Lab Hematology"],"published-print":{"date-parts":[[2025,8]]},"abstract":"<jats:title>ABSTRACT<\/jats:title><jats:sec><jats:title>Introduction<\/jats:title><jats:p>The use of artificial intelligence in hematology laboratories has improved the diagnostic evaluation of peripheral blood cells. The aim of this study is to compare the performance of two automated digital cell morphology analyzers, the Mindray MC\u201080 and the West Medical Vision Hema Pro, with manual microscopy, the gold standard, for leukocyte differentiation in patients with hematologic malignancies and infections.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Peripheral blood smears from 75 patients were analyzed, including cases of acute lymphoblastic leukemia (ALL, 4), chronic lymphocytic leukemia (CLL, 20), acute myeloid leukemia (AML, 20), chronic myeloid leukemia (CML, 5), other lymphoproliferative disorders (LPD, 20), and infections (6). The agreement between microscopy, Vision Hema, and MC\u201080 was assessed by Bland\u2013Altman analysis for eight leukocyte populations (neutrophils, lymphocytes, monocytes, eosinophils, basophils, band cells, myelocytes, and metamyelocytes).<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Vision Hema demonstrated better agreement with manual microscopy for eight normally expected leukocyte populations (neutrophils, lymphocytes, monocytes, eosinophils, basophils, band cells, myelocytes, and metamyelocytes), whereas MC\u201080 exhibited greater biases, particularly in lymphocytes, basophils, and immature granulocytes. For pathologic cells, VH significantly overestimated blasts, while MC\u201080 classified them more accurately, showing better agreement with manual microscopy in acute leukemias. Additionally, MC\u201080 showed potential clinical value in detecting abnormal lymphocytes and promyelocytes, which may be relevant for hematologic malignancies.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Vision Hema provides more reliable classification of normally expected leukocyte populations, while MC\u201080 shows advantages in detecting abnormal cells, particularly in hematologic malignancies.<\/jats:p><\/jats:sec>","DOI":"10.1111\/ijlh.14470","type":"journal-article","created":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T22:39:45Z","timestamp":1743115185000},"page":"643-650","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Comparative Analysis of the Performance of Automated Digital Cell Morphology Analyzers for Leukocyte Differentiation in Hematologic Malignancies: Mindray <scp>MC<\/scp>\u201080 Versus West Medical Vision Hema"],"prefix":"10.1111","volume":"47","author":[{"given":"Sara","family":"Sacchetti","sequence":"first","affiliation":[{"name":"Clinical Biochemistry Laboratory, \u201cMaggiore della Carit\u00e0\u201d University Hospital, Department of Health Sciences University of Eastern Piedmont  Novara Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matteo","family":"Bellia","sequence":"additional","affiliation":[{"name":"Division of Hematology, \u201cMaggiore della Carit\u00e0\u201d University Hospital, Department of Translational Medicine University of Eastern Piedmont  Novara Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9991-7502","authenticated-orcid":false,"given":"Matteo","family":"Vidali","sequence":"additional","affiliation":[{"name":"Clinical Pathology Unit Foundation IRCCS ca\u2032 Granda Ospedale Maggiore Policlinico  Milan Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Valentina","family":"Zanotti","sequence":"additional","affiliation":[{"name":"Clinical Biochemistry Laboratory, \u201cMaggiore della Carit\u00e0\u201d University Hospital, Department of Health Sciences University of Eastern Piedmont  Novara Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-7921-5501","authenticated-orcid":false,"given":"Luca","family":"Giacomini","sequence":"additional","affiliation":[{"name":"Clinical Biochemistry Laboratory, \u201cMaggiore della Carit\u00e0\u201d University Hospital, Department of Health Sciences University of Eastern Piedmont  Novara Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gianluca","family":"Gaidano","sequence":"additional","affiliation":[{"name":"Division of Hematology, \u201cMaggiore della Carit\u00e0\u201d University Hospital, Department of Translational Medicine University of Eastern Piedmont  Novara Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andrea","family":"Patriarca","sequence":"additional","affiliation":[{"name":"Division of Hematology, \u201cMaggiore della Carit\u00e0\u201d University Hospital, Department of Translational Medicine University of Eastern Piedmont  Novara Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Umberto","family":"Dianzani","sequence":"additional","affiliation":[{"name":"Clinical Biochemistry Laboratory, \u201cMaggiore della Carit\u00e0\u201d University Hospital, Department of Health Sciences University of Eastern Piedmont  Novara Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0805-8285","authenticated-orcid":false,"given":"Roberta","family":"Rolla","sequence":"additional","affiliation":[{"name":"Clinical Biochemistry Laboratory, \u201cMaggiore della Carit\u00e0\u201d University Hospital, Department of Health Sciences University of Eastern 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