International journal of laboratory hematology最新文献

{"title":"CML-Like Presentation of Acute Myeloid Leukemia With NUP98 Rearrangement and Low Blast Count: A Diagnostic Pitfall.","authors":"Run Chen, Ting Li, Shuangnian Xu, Xingqin Huang","doi":"10.1111/ijlh.70262","DOIUrl":"https://doi.org/10.1111/ijlh.70262","url":null,"abstract":"","PeriodicalId":94050,"journal":{"name":"International journal of laboratory hematology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149229624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Performance Evaluation of an Artificial Intelligence-Assisted Digital Morphology System for Bone Marrow Aspirate Examination.","authors":"S Urrutia Iñigo, J R Furundarena Salsamendi, A Uranga Aguirregomezcorta, L Agirrezabala Zurutuza, A Arambarri Oyarzabal, N Uresandi Iruin, N Argoitia Ituarte, L Urritza Mantiñan, C Barbarin Echarri, C Diez Sanz, S Carrasco Maceda, J Iranzo Alcazar, J Santa Catalina Nieto, C Sarasqueta Eizaguirre, C Panizo Santos","doi":"10.1111/ijlh.70263","DOIUrl":"https://doi.org/10.1111/ijlh.70263","url":null,"abstract":"<p><strong>Introduction: </strong>Morphological examination of bone marrow aspirates (BMA) remains essential for the diagnosis of hematologic diseases, but conventional microscopy is labor-intensive and subject to interobserver variability.</p><p><strong>Methods: </strong>A total of 158 samples from patients were analyzed. Differential counts obtained by optical microscopy were compared with those of the CellaVision BMA Application used according to its intended workflow of automated preclassification followed by expert review. The two methods were compared by Pearson correlation, Passing-Bablok regression, and Bland-Altman analysis, both overall and within the blast and plasma cells intervals that bracket the diagnostic thresholds.</p><p><strong>Results: </strong>Pearson correlation coefficients ranged from 0.85 to 0.99 for all populations except basophils (r = 0.68). Passing-Bablok regression showed no significant systematic or proportional bias for erythroblasts, granulocytic cells, eosinophils, and monocytes; a small systematic difference was observed for blasts, a small proportional difference for lymphocytes, and significant deviations from linearity for plasma cells and basophils. Bland-Altman mean differences ranged from -1.4% to 1.2% across all populations. At the clinically relevant decision thresholds for blasts and plasma cells, overall agreement between the two methods ranged from 96.8% to 99.4%, although sensitivity at the 20% blast threshold was 77.3%.</p><p><strong>Conclusion: </strong>Used according to its intended workflow, the CellaVision BMA Application produced differential counts comparable with conventional microscopy for most nucleated cells, but agreement was weaker for basophils and plasma cells. Expert review and validation remain necessary. These findings, obtained in a single-center series, provide a basis for further evaluation of this and similar systems.</p>","PeriodicalId":94050,"journal":{"name":"International journal of laboratory hematology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149187038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Challenge in the Laboratory Diagnosis of Acquired Factor VIII Inhibitor With Concurrent Lupus Anticoagulant: A Case Report.","authors":"Chase V West, Lindsey L Farmer, Yu Yang, Ang Li, Martha P Mims","doi":"10.1111/ijlh.70258","DOIUrl":"https://doi.org/10.1111/ijlh.70258","url":null,"abstract":"","PeriodicalId":94050,"journal":{"name":"International journal of laboratory hematology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149169200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Smoking-Related Distortion of Haemoglobin Concentration May Alter Anaemia Classification and Population Burden Estimates.","authors":"Renjie Huang, Miao Huang, Rui Zhang","doi":"10.1111/ijlh.70260","DOIUrl":"https://doi.org/10.1111/ijlh.70260","url":null,"abstract":"<p><strong>Introduction: </strong>Cigarette smoking can alter interpretation of measured haemoglobin near anaemia thresholds. We quantified the consequences of applying the World Health Organization (WHO) smoking adjustment.</p><p><strong>Methods: </strong>We analysed National Health and Nutrition Examination Survey data from non-pregnant US adults aged ≥ 20 years reporting current cigarette smoking. The primary period was 2005-2016 (n = 6380), with 2017-March 2020 as an independently weighted replication period. We applied WHO cigarette-quantity adjustments to measured haemoglobin and estimated survey-weighted changes in anaemia classification, implementation sensitivity, and supportive haematologic phenotypes.</p><p><strong>Results: </strong>Anaemia prevalence increased from 3.9% (95% CI, 3.4%-4.6%) before adjustment to 6.4% (5.7%-7.3%) after adjustment. The adjustment newly identified 217 participants, an absolute increase of 2.5 percentage points (2.1-3.0), representing approximately 1.08 million US adults and 38.7% of anaemia after adjustment. Sensitivity estimates for the absolute increase ranged from 2.3 to 2.5 percentage points. The independent-period increase was larger at 4.5 percentage points (3.2-6.2). Participants newly identified as anaemic had lower mean corpuscular volume, serum iron, and ferritin and higher red cell distribution width and soluble transferrin receptor; principal patterns were directionally concordant in the replication period.</p><p><strong>Conclusions: </strong>Applying WHO smoking adjustment materially changed estimated anaemia prevalence and identified a threshold-adjacent group with a supportive haematologic and iron-status phenotype. Newly identified results warrant clinical confirmation and aetiologic evaluation rather than automatic treatment.</p>","PeriodicalId":94050,"journal":{"name":"International journal of laboratory hematology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149170671","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comprehensive Multicenter Evaluation of an AI-Based Deep Learning System for Automated Blood Cell Classification and Morphologic Analysis.","authors":"Mendamar Ravzanaadii, Yuki Horiuchi, Kayoko Nakanishi, Chiaki Ikeda, Hayaka Kawaguchi, Misato Tsubokura, Kenta Masuda, Makiko Yamasaki-Morita, Hirotaka Matsui, Naoki Kosaka, Jun Ando, Miki Ando, Hiromichi Matsushita, Yosuke Iwasaki, Aya Konishi, Yoko Tabe","doi":"10.1111/ijlh.70256","DOIUrl":"https://doi.org/10.1111/ijlh.70256","url":null,"abstract":"<p><strong>Background and objectives: </strong>Deep learning-based systems have shown promise in automating white blood cell (WBC) classification; however, most validations are limited to single institutions. This study aimed to evaluate the multicenter performance and robustness of a CNN-based deep learning system (DLS) for peripheral blood cell classification and morphologic abnormality detection across three hospitals.</p><p><strong>Methods: </strong>A total of 766 peripheral blood smears (613 routine and 153 abnormal) from Juntendo University Hospital, Kyoto University Hospital, and the National Cancer Center Hospital were analyzed using the Sysmex DI-60. The DLS, trained on 1.49 million annotated cell images, classified 16 cell types and 42 morphological features. Cell classification performance was assessed by standard metrics, including accuracy and F1 score, while agreement with manual WBC counts was evaluated through correlation and regression analyses.</p><p><strong>Results: </strong>The DLS achieved high specificity, negative predictive value, and accuracy (> 95%) across institutions. Mean F1 scores exceeded 0.80 for major WBC types in both routine and abnormal smears. Agreement with manual microscopy was strong for neutrophils, lymphocytes, and eosinophils (r² > 0.8; Cb > 0.9), while monocytes and basophils showed moderate variability. The DLS identified smears containing blasts or abnormal cells that required expert review and detected morphological features associated with specific diseases.</p><p><strong>Conclusions: </strong>This multicenter validation demonstrates robust and reproducible performance of the DLS across laboratories, supporting its clinical applicability for routine WBC differentials and detection of disease-specific morphological abnormalities.</p>","PeriodicalId":94050,"journal":{"name":"International journal of laboratory hematology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149139986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"BCMA Antigen Loss Through Acquired TNFRSF17 Deletion in Multiple Myeloma.","authors":"Ali Benaboud, Rémi Tilmont, Gauthier Decool, Nicolas Gower, Salomon Manier, Benjamin Podvin","doi":"10.1111/ijlh.70259","DOIUrl":"https://doi.org/10.1111/ijlh.70259","url":null,"abstract":"","PeriodicalId":94050,"journal":{"name":"International journal of laboratory hematology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149129246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Direct Oral Anticoagulant-Calibrated Heparin LRT Assay as a Rapid Alternative to an Anti-Factor Xa Assay for Measuring Apixaban, Edoxaban, and Rivaroxaban in Patients With Non-Valvular Atrial Fibrillation.","authors":"Kwang-Sook Woo, Dae-Hyun Kim, Jong-Sung Park, Kyung Hee Lim, Jin-Yeong Han","doi":"10.1111/ijlh.70257","DOIUrl":"https://doi.org/10.1111/ijlh.70257","url":null,"abstract":"","PeriodicalId":94050,"journal":{"name":"International journal of laboratory hematology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149120889","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Rapid Fibrinogen Assessment With the qLabs FIB Point-of-Care System: Results From a Multicenter Clinical Validation Study.","authors":"Sandra Sanfilippo, Leslie Buisson, Blanche Delabie, Sophie Le Bellego, Marie-Eglantine Dujaric, Thibault Donnet","doi":"10.1111/ijlh.70133","DOIUrl":"10.1111/ijlh.70133","url":null,"abstract":"<p><strong>Background: </strong>Acquired hypofibrinogenemia is frequently associated with major bleeding and requires prompt correction. Rapid and accurate quantification of fibrinogen is essential to guide hemostatic therapy and improve patient outcomes. The qLabs FIB system provides fibrinogen results within minutes at the bedside, supporting timely diagnostic assessment and therapeutic decision-making. This study aimed to validate the device analytical performance in a prospective, observational, multicenter setting by comparing whole-blood qLabs FIB results with lab-based plasma fibrinogen.</p><p><strong>Methods: </strong>Fibrinogen concentrations from 463 citrated whole-blood samples were measured in parallel using the qLabs FIB and the Clauss method across 8 clinical sites.</p><p><strong>Results: </strong>Overall, a strong correlation was observed between the qLabs FIB and the Clauss laboratory method (r = 0.94). The median of relative differences did not differ significantly between clinical sites. Receiver operating characteristic analysis showed sensitivities and specificities in the 90% range for identifying fibrinogen concentrations below the clinical decision thresholds of 1.5 and 2.0 g/L.</p><p><strong>Conclusion: </strong>This study demonstrated a strong agreement of the qLabs FIB to the standard Clauss assay while providing rapid, near-patient fibrinogen measurements. This multicenter study confirms the initial performance of the system from a larger number of samples. The integration of qLabs FIB testing into routine clinical practice could support earlier, more targeted hemostatic interventions, thereby improving the safety and effectiveness of bleeding management.</p>","PeriodicalId":94050,"journal":{"name":"International journal of laboratory hematology","volume":" ","pages":"1173-1180"},"PeriodicalIF":0.0,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13555168/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148019729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Troubleshooting Bacterial Contamination in a Diagnostic Flow Cytometry Laboratory: A Root Cause Analysis.","authors":"Tori Catey, Valerie Miller, Sindhu Cherian, Fabienne Lucas","doi":"10.1111/ijlh.70120","DOIUrl":"10.1111/ijlh.70120","url":null,"abstract":"","PeriodicalId":94050,"journal":{"name":"International journal of laboratory hematology","volume":" ","pages":"1236-1239"},"PeriodicalIF":0.0,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13555139/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147792869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Green Neutrophilic Inclusions in Cronobacter sakazakii Sepsis Complicated by Hemophagocytic Syndrome.","authors":"Longmei Chen, Wanchao Liu","doi":"10.1111/ijlh.70126","DOIUrl":"10.1111/ijlh.70126","url":null,"abstract":"","PeriodicalId":94050,"journal":{"name":"International journal of laboratory hematology","volume":" ","pages":"1244-1247"},"PeriodicalIF":0.0,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13555193/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147793241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}