{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,19]],"date-time":"2026-10-19T03:40:00Z","timestamp":1792381200222,"version":"4.4.0"},"reference-count":21,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2026,6,17]],"date-time":"2026-06-17T00:00:00Z","timestamp":1781654400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,6,17]],"date-time":"2026-06-17T00:00:00Z","timestamp":1781654400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Int J Lab Hematology"],"published-print":{"date-parts":[[2026,10]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>Although AI\u2010powered digital morphology analyzers are widely used for leukocyte classification, their reliability in detecting clinically significant abnormal cells requires rigorous validation. We evaluated the Mindray MC\u201080 system by comparing its results with those of conventional hematology analyzers and manual microscopy to assess accuracy, sensitivity, and diagnostic limitations.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We analyzed 1188 routine blood samples (881 normal, 307 abnormal). Preclassification results from the MC\u201080 were compared with hematology analyzer results for normal samples and with manual microscopy by senior morphologists for abnormal samples. Inter\u2010method agreement was assessed by Passing\u2013Bablok regression, and sensitivity and specificity were calculated using expert\u2010reviewed findings as the reference standard.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      The MC\u201080 preclassification demonstrated excellent correlation with reference assays, with\n                      <jats:italic>r<\/jats:italic>\n                      values greater than 0.9 for the majority of leukocyte subsets. Overall specificity reached over 99% for all cell populations. Excluding blasts and reactive lymphocytes, the sensitivity for all remaining cell types was higher than 90%. For clinically critical abnormal cells, the system attained 75% sensitivity for plasma cells (\u2265\u20091%) and over 90% for the other five abnormal cell groups. Its specificity was above 90% for all abnormal cells except blasts, which had a specificity of 86.73%. Expert review further increased the correlation coefficients by 0.31% to 5.71%.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The MC\u201080 provides robust performance for routine leukocyte classification, with a screening capability for most abnormal cells comparable to that of manual microscopy. However, its reduced sensitivity for reactive lymphocytes, blasts, and plasma cells indicates that it cannot fully replace manual review. Targeted optimization is therefore warranted before full integration into diagnostic workflows.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/ijlh.70170","type":"journal-article","created":{"date-parts":[[2026,6,18]],"date-time":"2026-06-18T00:00:51Z","timestamp":1781740851000},"page":"1032-1039","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Clinical Validation of the\n                    <scp>MC<\/scp>\n                    \u201080 Digital Morphology Analyzer in Leukocyte Classification: A Large\u2010Scale Comparison With Manual Microscopy"],"prefix":"10.1111","volume":"48","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-1776-0810","authenticated-orcid":false,"given":"Lianjie","family":"Zhang","sequence":"first","affiliation":[{"name":"Center of Clinical Laboratory The Fourth Affiliated Hospital of Soochow University  Suzhou Jiangsu People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuhong","family":"Qin","sequence":"additional","affiliation":[{"name":"Center of Clinical Laboratory The Fourth Affiliated Hospital of Soochow University  Suzhou Jiangsu People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongbin","family":"Yu","sequence":"additional","affiliation":[{"name":"Center of Clinical Laboratory The Fourth Affiliated Hospital of Soochow University  Suzhou Jiangsu People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lin","family":"Wang","sequence":"additional","affiliation":[{"name":"Center of Clinical Laboratory The Fourth Affiliated Hospital of Soochow University  Suzhou Jiangsu People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,6,17]]},"reference":[{"key":"e_1_2_10_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11517\u2010016\u20101590\u2010x"},{"issue":"18","key":"e_1_2_10_3_1","first-page":"1862","article-title":"Diagnosis From the Blood Smear","volume":"353","author":"Lawrence C.","year":"2005","journal-title":"New England Journal of Medicine"},{"key":"e_1_2_10_4_1","doi-asserted-by":"publisher","DOI":"10.3233\/THC\u2010161133"},{"key":"e_1_2_10_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11517\u2010023\u201002830\u20101"},{"key":"e_1_2_10_6_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12911\u2010023\u201002153\u2010z"},{"key":"e_1_2_10_7_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0218808"},{"key":"e_1_2_10_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bbe.2019.01.005"},{"issue":"3","key":"e_1_2_10_9_1","first-page":"265","article-title":"A Multi\u2010Center Study on Evaluation of Leukocyte Differential Performance by an Artificial Intelligence\u2010Based Digital Cell Morphology Analyzer","volume":"46","author":"Jiang H. 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