barb burch - webinar dec 2011
TRANSCRIPT
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Interpreting Hematology Scatter-Plots;
O C C SOne Cancer Center’s Keys to Seeing the BIG Picture
Barbara L. Burch, MHA MT (ASCP)
Laboratory Manager
New York University Clinical Cancer Center
Disclosure
• Ms Burch is receiving an honorarium for• Ms Burch is receiving an honorarium for her participation in this educational event
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Learning Objectives
• Give 3 examples of how Complete Blood• Give 3 examples of how Complete Blood Count results are used in the care of oncology patients.
• Give 2 examples of how practiced Scatter-Plot interpretation improves oncology patient care while providing timely andpatient care while providing timely and reliable results to the clinician.
• Identify 2 keys to begin more advanced hematology Scatter-Plot interpretation.
Current laboratory staffing trends:1. Decrease in number of accredited schools
2 Decrease in number of students entering2. Decrease in number of students entering field
3. Bye Bye Baby Boomers
4. Under-recognition of Laboratory Medicine field inside and outside of Healthcare
5. Decrease in reimbursement for services
6. Laboratory testing volume is on the rise
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Doing more with less…
• Lab Automation• Lab Automation• LIS Auto-Verification• POCT• Cross-Trainingg• Thorough information
interpretation?
Playing it safe!
• Hold the results wait for slide• Hold the results – wait for slide confirmation• “Catch the false negatives”
• Manufacturer says to
• % or absolute cut off = manual diff• % or absolute cut off = manual diff• Blasts counted as Monos…
• Manual WBC’s and PLT’s
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Routine CBC’s
I f ti i l b t i l• Infections – viral or bacterial
• Anemia – inherited or acquired (acute or chronic)
Th b t i• Thrombocytopenia
• Leukemias
CBC’s in Oncology • Chemotherapy and Radiation Treatments act
b i t f i ith ll di i iby interfering with cell division:• Neutropenia• Thrombocytopenia• Anemia
• Treatments to counteract above side effects:• Neupogen/Neulasta• Plt Transfusion• Pro-Crit/Aranesp, RBC Transfusion
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Oncology…cont’d
• Recurrence of leukemia• Recurrence of leukemia
• NRBC’s – Response to growth factor or tumor invasion of bone marrow?
• Accurate WBC, ANC, Hgb and PLT l d d fresults needed QUICKLY for
treatment decisions!!
Fluorescent NRBC
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Removal NRBC influence from WBC and DIFF count
WBC NRBC
Total WBC Count
-Minus Correct WBC#
WBC NRBC
-Minus
Correct Differentials
DIFFNRBC
+ +
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PlateletClumps
PltClumps
Ghost
HPC
IMI Channel
IMI ScattergramRF
RF
RF
PLT CLUMPS
Immature GranGh t
Ghost
HPC
Blasts
Immature Gran
DC
Ghost
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Fluorescent Optical Plt
RBC FragsRBC Frags
Lg Plts
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Extended Diff – IG Example
Extended Diff – IG Example Cont.
Follow up: Adiff reported as is and smear review was done to evaluate Blast flag – there were none.
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Using the IMI Channel Example
Using the IMI Channel
Monos
????
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Using the IMI ChannelPatient’s Manual Diff
Neu % = 16L h % 39Lymph % = 39Atyp Lym% = 10
Mono % = 0Myelo % = 1Promeylo % = 1
Blasts % = 33NRBC’s = 5/100 WBC’sAuer Rods Seen
Pt has untreated AML
Using the IMI Channel - 2
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Using the IMI Channel - 2
Using the IMI Channel - 2
MANUAL DIFFERENTIAL
Segs = 96%Segs = 96%
Lymphs = 3%
Monos = 0%
Eos = 1%
Hyper-segmentation of Neutrophils
(No plt clumps)
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Using the IMI Channel - 2
Hypersegmented Neutrophils = more nucleic acid = more fluorescence.
Platelet Clumps - Example
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Plt Clumps – Example continued
Typical IMI plt clump tail
Plt Clumps – Example continuedSmear:
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NRBC’s – Example 1
NRBC’s – Example 1 continued
Uncorrected WBC = 2.0
Treatment decision cutoff = WBC must be > 2.0
Corrected WBC = 1.9 below treatment requirements
Next step – look at ANC
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NRBC’s – Example 2
NRBC’s - Example 2 continued
Instrument gives no reliableInstrument gives no reliable differential information other than the NRBC’s. WBC corrected for 30% NRBC’s.
However…
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NRBC’s – Example 2 continuedPatient’s Manual Diff
Neu % = 15Bands % = 1%Lymph % = 40Mono % = 1Atyp Lym% = 43NRBC’s = 72/100 WBC’sMicromegakaryocytes = 19/100 WBC’sMicromegakaryocyte nuclear fragments15/100 WBC’s NRBC count higher on manual15/100 WBC sFurther WBC correction needed,
however – initial correction is done by the analyzer so the final correction is not as drastic.
NRBC count higher on manual diff because the instrument is counting the MMKC’s as WBC’s.
Blast
Micro-Megakaryocyte
Micro-Megakaryocyteg y y
Abnormal Platelets
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Plts and RBC Frags Example
What we were taught to do …• Rerun and pray for a fitted curve• Check MCV; is it low?
MOAN AND GROAN…
Plts and RBC Frags Example
;• Check MPV; is it high?• Hurry up and stain the smear and check under the scope• If RBC fragments/Microcytes or Lg Plts present;
•Do manual smear estimate – OR –OR •Do hemacytometer count
What the cancer center does…• Rerun an optical plt count
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Plts and RBC Frags Example cont.
Plts and RBC Frags Example cont.Normal Optical Plt Scattergram Patient Optical Plt Scattergram
RBC Fragments
RBC Fragments
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Plts and RBC Frags Example cont.Smear:
Outcome: Optical plt count verified and released. No smear review done.
Optical Platelet Example
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Optical Platelet Example cont.
Outcome: Optical count reported without smear follow up, patient
Clean S i
treated.
Separation
Just Plain Interesting…• 66 yr old female – ovarian cancer remission• Presented with:
• Fevers/chills• Steadily decreasing Plt count and H&H• Steadily increasing LDH
• Hematology consult resulted in workup for:• DIC
A Ab• Auto-Ab• Lyme disease, etc.• Septicemia• Babesia/Malarial Infection
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Just Plain Interesting…
Still Just Plain Interesting…
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Just Plain Interesting…
Where are they???
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Compare… Babesia Patient
Time of Dx
Optical Count 86
Optical Count 64
3 Weeks post
treatment.
PLT-I = 357
PLT-O =351
Total WBC Case
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Total WBC Case
Total WBC Case
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Total WBC Case
Total WBC Case Diff Channel Count
WBC/BASO Count
Patient has Multiple Myeloma –significant rouleaux seen on slide. WBC smear estimate matched Diff Channel Count.
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Let’s put it all together…
Let’s put it all together…cont.Re-Ran Optical Plt Count:IG counted in Diff Channel AND there
is activity in the IMI
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Let’s put it all together…cont.
Outcome: All results released and Optical plt count without smear verification.
Smear review done and showed left shift Myelocytes, 1+ Toxic Gran and Dohle Bodies.
Keys to Scatter-Plot Interpretation• UNDERSTAND the technology!• Know where all the information is• Know where the flags are generated from• Look for correlating information in more than
one scatter-plot/histogram• Develop decision trees• Look for patterns in scatter plots and what is• Look for patterns in scatter-plots and what is
seen on the slide• What is REALLY important to your
clinicians?