18 September 2014 – Pfäffikon A New Era in Automated Cell Image Analysis David Zahniser, PhD- Chief Science Officer Roche Diagnostics Hematology, Inc. Boston, Massachusetts USA Page 1 - September 18, 2014 Disclosures and Notice Dr. Zahniser has financial interest in Roche Diagnostics Hematology, Inc., manufacturer of the cobas m 511 The cobas m 511 is not cleared by The US Food and Drug Administration, and is not commercially available. Page 2 - September 18, 2014 Microscopy – The Foundation of Clinical Diagnosis George N. Papanicolaou 1883-1962 Paul Ehrlich 1854-1915 Page 3 - September 18, 2014 Microscopy – The Foundation of Clinical Diagnosis Question… How do we provide the BEST and the most DEFINITIVE Morphologic Diagnoses? Answer… Optimization of: Sample Collection Sample Preparation Staining Microscopic Interpretation Quantitation Page 4 - September 18, 2014 Examples of Automated Preparation, Staining, and Imaging Cytology Histology Page 5 - September 18, 2014 Modern Automated Hematology Analyzers Counts: RBC, WBC, PLT Measures: Hgb, Hct, RBC metrics Classifies: WBC Differential Page 6 - September 18, 2014 “Flags” reflect Uncertainty “Flags” are messages that the measurements cannot determine the cell type or abnormality (10%-40% of cases) About 50% of flags trigger a manual review of the microscope slide Page 7 - September 18, 2014 Manual Wedge-smears of Whole Blood • The “Gold Standard” for cell morphology and WBC differential But… • Quality of results dependent on preparation and stain • No consistency in selection of review areas, so results vary Page 8 - September 18, 2014 23543566 Doe, John What is the CBC on this slide? Easy answer, you use your eyes to count: 7 RBC 6 WBC 2 PLT Page 9 - September 18, 2014 23543566 Doe, John What if … an instrument could: • • • • • • • • Paint a precise and reproducible amount of blood onto a slide Have all cells countable in a thin layer Have the cells be morphologically the same as under the scope Have fresh, reproducible staining Obtain all CBC parameters from the slide using imaging Perorm an automated 5 part differential using imaging Produce images for evaluation when needed Do this at a rate of 60 samples per hour… Page 10 - September 18, 2014 The cobas m 511 System: Four-in-One Slide Maker Stainer Analyzer Imaging System Page 11 - September 18, 2014 Whole blood is printed onto a glass slide… Printing process overview The system prepares each slide by printing whole blood from a stainless needle in adjacent rows Page 12 - September 18, 2014 Uniform Printing of a Precise Blood Volume Page 13 - September 18, 2014 …and then the slide is stained… Staining process overview Each slide stained individually Uses a specially designed Romanowsky-type stain Stain comprised of 4 separate solutions including a fixative, 2 dyes, and a rinse Page 14 - September 18, 2014 …before the system captures cell images… Imaging process overview Uses multispectral imaging at low and high powered magnification Computer-driven classifiers locate, group and count different types of cells Computer quantifies and classifies using morphologic descriptors Size, shape, color, and optical density are assessed and used with statistical classifiers Four wavelengths of light from LEDs illuminate the cell fields for the B&W camera Page 15 - September 18, 2014 The Bloodhound System: Four-in-One Page 16 - September 18, 2014 Interior View Page 17 - September 18, 2014 Imaging enables key measurements Bloodhound measurements Measures Hemoglobin using specific wavelengths of light from an LED Wavelengths based on where hemoglobin absorbs optimally on air dried slide Hemoglobin Hemoglobin Component Measures Mean Cell Volume (MCV) by finding the height (by optical density at specific wavelengths) at dozens of points within each red blood cell Mean cell volume Volume of the cell calculated from the total of these heights Tens of thousands of RBCs used to calculate the mean .. ... . . . . .. . ... .. . .. . .. . ... ... .. .. .. ... . .. .. . ... . .. .. . .. . .. .. ... . .. .. ... . .. .. ... . .. . . . ... . . . . Volume occupied by RBCs can be calculated after determining the MCV and the total number of RBCs in one microliter Hematocrit The percentage then gives the Hematocrit Hematocrit = MCV x Total RBCs Total volume Page 20 - September 18, 2014 Unique viewing station… Viewing station highlights Comprehensive review screen displays: ‒ CBC and 5-Part WBC Differential data ‒ Individual images of red blood cells, white blood cells, platelets, reticulocytes and unclassified cells For flagged cases, medical technologist reviews data and images to determine final result iMac and analyzer use custom CMI software not accessible by user Page 21 - September 18, 2014 …and with optimized interaction Page 22 - September 18, 2014 …that makes review of flagged cases efficient Review of sample flagged cases Leukemia Neutrophilia Leukopenia Anemia Page 23 - September 18, 2014 Calibration, QC and proficiency testing Overview of calibration, quality control and proficiency testing Based on stabilized RBC, PLT, WBC, nRBC, and Reticulocytes Development underway with commercial supplier Calibrators and controls used in compliance with applicable laboratory regulations including CLIA and CAP Parallel 510k clearance process Page 25 - September 18, 2014 A 26 Parameter CBC and Diff by Microscopy Digital Imaging: • Counts RBC, WBC, PLT, nRBC, Retics • HgB, MCV, MPV • WBC Differential Human Review: • Classifies unclassified cells • Assesses morphology • Finalizes differential Potential Efficiencies: • Improved TAT • Better staff utilization Page 26 - September 18, 2014 Testing Data Comparability Purpose and timing Clinical data Determine correlations between common parameters when identical samples were processed on a Sysmex XE-5000 and the Bloodhound Instrument Data based on verification studies performed in February 2013 Parameter r Slope Bias RBC 0.99 0.98 0.04 WBC 0.99 1.02 0.25 PLT 0.97 0.96 -7.08 MCV 0.91 1.14 -0.24 MCH 0.98 1.00 -0.08 HGB 0.99 1.05 -0.12 Method, standards and statistics Conclusions Routine samples (normal and abnormals) Strong correlation observed for large sample processed on a Sysmex XE-5000 set between the Bloodhound Instrument and the Sysmex XE-5000 for all measured parameters 1,183 samples processed on an both instruments for CBC and WBC diff parameters Standard: H26-A2 Statistics: Deming regression and Bland-Altman Minimal bias between instruments plots for bias assessment Page 27 - September 18, 2014 Comparability – RBC Page 28 - September 18, 2014 Comparability – WBC Page 29 - September 18, 2014 Comparability – Platelets Page 30 - September 18, 2014 Imprecision: Repeatability Purpose and timing Clinical data (%CV) Ability to obtain consistent results when Parameter Repeatability (95% CI) WBC 2.99 (2.87-3.12) RBC 1.18 (1.14-1.23) PLT 3.11 (2.99-3.24) HGB 1.59 (1.53-1.66) HCT 1.66 (1.60-1.74) MCV 1.19 (1.14-1.24) MCH 1.06 (1.02-1.10) Method, standards and statistics #Neut 4.11 3.95-4.28 Normal samples spanning the reference ranges #Lymph 10.44 (10.03-10.89) #Mono 15.67 (15.06-16.35) #EO 27.18 (26.11-28.34) running a sample multiple times on the same instrument (repeatability) Data based on verification studies performed in February 2013 were run the 31 times on 3 Bloodhound instruments Abnormal samples assessed medical decision levels for RBC, HCT, HGB PLT and WBC Standard: H26-A2 Statistics: Percent CV calculation Conclusions Excellent repeatability (low CVs) Equal to or better than the published %CV of automated hematology analyzers Page 31 - September 18, 2014 What else can you learn from the morphologic analysis of each cell on the slide, and… ….What clinical value? Page 32 - September 18, 2014 How can remote review affect quality and staffing? Potential for an integrated delivery network Allows flexibility in lab layout and technician time Ability for pathologist or supervisor to view remotely Pathologist Supervisor Technologists Page 33 - September 18, 2014 Thank you for your attention. Roche Diagnostics Ltd [email protected] 6343 Rotkreuz Switzerland COBAS, COBAS M, BLOODHOUND and LIFE NEEDS ANSWERS are trademarks of Roche. All other trademarks used or mentioned are the property of their respective owners. This presentation is our intellectual property. Without our written consent, it shall neither be copied in any manner, nor used for manufacturing, nor communicated to third parties. Page 34 - September 18, 2014
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