Literature DB >> 18983307

Performance evaluation and relevance of the CellaVision DM96 system in routine analysis and in patients with malignant hematological diseases.

E Cornet1, J-P Perol, X Troussard.   

Abstract

The CellaVisiontrade mark DM96 is an automated image analysis system dedicated to locating and preclassifying the various types of white blood cells in peripheral blood smears. The system also partially characterizes of the red blood cell morphology and is able to perform platelet counts. We routinely analyzed the blood samples from 440 patients with quantitative and/or qualitative abnormalities detected by the XE-2100 Sysmextrade mark. Only 2.6% of cells are not identified by DM96trade mark. After classification of the unidentified cells very good correlation coefficients are observed between DM96trade mark and manual microscopy for most hematological parameters and accuracy is judged excellent up to 98%. For most common parameters, false positive and false negative ratios are also very good. Whatever the pathology and the number of blasts on smear, all patients were positive for blast detection on DM96trade mark. The system is a useful tool for assisting in the diagnosis and classification of most acute or chronic leukemia. Automatic cell location and preclassification, along with unique cell views on the computer screen, could reduce the time spent performing differentials and make real-time collaboration between colleagues a natural part of the classification process. The workstation also provides an ergonomically correct and relaxed working environment. We suggest its use in routine analysis; the system could be very helpful for the accurate morphological diagnosis of samples from patients with malignant hematological disease.

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Year:  2008        PMID: 18983307      PMCID: PMC2784869          DOI: 10.1111/j.1751-553X.2007.00996.x

Source DB:  PubMed          Journal:  Int J Lab Hematol        ISSN: 1751-5521            Impact factor:   2.877


  5 in total

1.  Persistent polyclonal B lymphocytosis with binucleated lymphocytes: a study of 25 cases. Groupe Français d'Hématologie Cellulaire.

Authors:  H Mossafa; H Malaure; M Maynadie; F Valensi; F Schillinger; R Garand; G Jung; G Flandrin; X Troussard
Journal:  Br J Haematol       Date:  1999-03       Impact factor: 6.998

2.  Differential counting of blood leukocytes using automated microscopy and a decision support system based on artificial neural networks--evaluation of DiffMaster Octavia.

Authors:  B Swolin; P Simonsson; S Backman; I Löfqvist; I Bredin; M Johnsson
Journal:  Clin Lab Haematol       Date:  2003-06

3.  Performance evaluation of the CellaVision DM96 system: WBC differentials by automated digital image analysis supported by an artificial neural network.

Authors:  Alexander Kratz; Hans-Inge Bengtsson; Jeanne E Casey; Joan M Keefe; Gail H Beatrice; Debera Y Grzybek; Kent B Lewandrowski; Elizabeth M Van Cott
Journal:  Am J Clin Pathol       Date:  2005-11       Impact factor: 2.493

4.  Examination of peripheral blood films using automated microscopy; evaluation of Diffmaster Octavia and Cellavision DM96.

Authors:  H Ceelie; R B Dinkelaar; W van Gelder
Journal:  J Clin Pathol       Date:  2006-05-12       Impact factor: 3.411

5.  World Health Organization classification of neoplastic diseases of the hematopoietic and lymphoid tissues: report of the Clinical Advisory Committee meeting-Airlie House, Virginia, November 1997.

Authors:  N L Harris; E S Jaffe; J Diebold; G Flandrin; H K Muller-Hermelink; J Vardiman; T A Lister; C D Bloomfield
Journal:  J Clin Oncol       Date:  1999-12       Impact factor: 44.544

  5 in total
  17 in total

Review 1.  Systematic Review of an Automated Multiclass Detection and Classification System for Acute Leukaemia in Terms of Evaluation and Benchmarking, Open Challenges, Issues and Methodological Aspects.

Authors:  M A Alsalem; A A Zaidan; B B Zaidan; M Hashim; O S Albahri; A S Albahri; Ali Hadi; K I Mohammed
Journal:  J Med Syst       Date:  2018-09-19       Impact factor: 4.460

2.  Feature Analysis and Automatic Identification of Leukemic Lineage Blast Cells and Reactive Lymphoid Cells from Peripheral Blood Cell Images.

Authors:  Laura Bigorra; Anna Merino; Santiago Alférez; José Rodellar
Journal:  J Clin Lab Anal       Date:  2016-07-18       Impact factor: 2.352

3.  Pilot Study on the Performance of a New System for Image Based Analysis of Peripheral Blood Smears on Normal Samples.

Authors:  Preethi S Chari; Sujay Prasad
Journal:  Indian J Hematol Blood Transfus       Date:  2017-05-26       Impact factor: 0.900

4.  Experience with CellaVision DM96 for peripheral blood differentials in a large multi-center academic hospital system.

Authors:  Marian A Rollins-Raval; Jay S Raval; Lydia Contis
Journal:  J Pathol Inform       Date:  2012-08-25

5.  Platelet count estimation using the CellaVision DM96 system.

Authors:  Yuon Gao; Adnan Mansoor; Brenda Wood; Heather Nelson; Diane Higa; Christopher Naugler
Journal:  J Pathol Inform       Date:  2013-06-29

6.  Image microarrays (IMA): Digital pathology's missing tool.

Authors:  Jason Hipp; Jerome Cheng; Liron Pantanowitz; Stephen Hewitt; Yukako Yagi; James Monaco; Anant Madabhushi; Jaime Rodriguez-Canales; Jeffrey Hanson; Sinchita Roy-Chowdhuri; Armando C Filie; Michael D Feldman; John E Tomaszewski; Natalie Nc Shih; Victor Brodsky; Giuseppe Giaccone; Michael R Emmert-Buck; Ulysses J Balis
Journal:  J Pathol Inform       Date:  2011-10-29

7.  Performance of CellaVision DM96 in leukocyte classification.

Authors:  Lik Hang Lee; Adnan Mansoor; Brenda Wood; Heather Nelson; Diane Higa; Christopher Naugler
Journal:  J Pathol Inform       Date:  2013-06-29

8.  Validation of the Sysmex sp-1000i automated slide preparer-stainer in a clinical laboratory.

Authors:  Eberson Damião Dos Santos de Bitencourt; Carlos Franco Voegeli; Gabriela Dos Santos Onzi; Sara Cardoso Boscato; Carine Ghem; Terezinha Munhoz
Journal:  Rev Bras Hematol Hemoter       Date:  2013

9.  Accuracy of the CellaVision DM96 platform for reticulocyte counting.

Authors:  Etienne R Mahe; Diane Higa; Christopher Naugler; Adnan Mansoor; Meer-Taher Shabani-Rad
Journal:  J Pathol Inform       Date:  2014-05-26

10.  Performance of the CellaVision(®) DM96 system for detecting red blood cell morphologic abnormalities.

Authors:  Christopher L Horn; Adnan Mansoor; Brenda Wood; Heather Nelson; Diane Higa; Lik Hang Lee; Christopher Naugler
Journal:  J Pathol Inform       Date:  2015-02-24
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