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©2011 MFMER | slide-1
3
• William Pavlicek • AAPM Clinical Meeting• Monday March 18, 2013• Phoenix AZ
Radiation Dose Informatics: Using the Tools of Six Sigma to Improve Radiation Exposure
Prescription
©2011 MFMER | slide-2
Lots of Commercial DoseManagement Software!
©2011 MFMER | slide-3
Image Quality and Dose
Increasing Radiation Dose
IncreasingImage Quality
©2011 MFMER | slide-4
Problem: Good IQ with high (or even too high) dose
Increasing Radiation Dose
IncreasingImage Quality
©2011 MFMER | slide-5
Too high dose prescription must be avoided
Increasing Radiation Dose
IncreasingImage Quality
©2011 MFMER | slide-6
Narrow the range of x-ray prescriptions!
Increasing Radiation Dose
IncreasingImage Quality
©2011 MFMER | slide-7
“Inventor” of Six SigmaW. Edwards Deming
• Physicist PhD (Yale, 28)
• Taught engineering, physics in the 1920s
• Long career in government statistics, USDA, Bureau of the Census
• Worked with Japan post war.
7
W. Edwards Deming, 1900 – 1993
©2011 MFMER | slide-8
* From Montgomery, D. C. (2009), Introduction to Statistical Quality Control 6th edition, Wiley, New York
Toyota reduced Variation ..Improved Quality 1960s
8
©2011 MFMER | slide-9
The Motorola Six-Sigma Concept 1980 - pagers
• Motoroloa found process subject to disturbances that could cause it to shift by as much as 1.5 standard deviations off target.
• No process or system is ever truly stable!
• Thus 3.4 parts per million for this system
9
* From Montgomery
©2011 MFMER | slide-10
“The mean never happens,” — a 4-day delivery time on one order, with an awful 20-day delay on another, and no real consistency! This customers in this chart feel nothing. Their life experience hasn’t changed; one bit. The customer only feels the variance that we have not yet removed. … Variation is evil in any customer-touching process. *
*Jack Welch, General Electric Company 1998 Annual Report
10
X-ray
Tubes
1990s
©2011 MFMER | slide-11
What diagnostic medical physicists measure?
©2011 MFMER | slide-12
Repeatability of device? eg. New ACR Daily CT Phantom
©2011 MFMER | slide-13
These devices were repeatable with accurate output,…..!!!
©2011 MFMER | slide-14
Reproducibility!!!
DifferentProcedures/Protocols, Operator Training,
Patients!
©2011 MFMER | slide-15
Six Sigma Process Improvement with an Emphasis
on Achieving Significant Impact!
• All work is performed in (interconnected) processes• Easy to see in some situations (manufacturing)• Harder in others
• Any process can be improved• An organized approach to improvement is necessary
15
©2011 MFMER | slide-16
Reduce System Variability
DMAIC (duy–may–ick)
©2011 MFMER | slide-17
Basic Tenets of Quality
• It is the process that creates variability
• Belief that things can be improved
• A blameless environment is needed for team solutions
• People closest to the product are most able to affect quality
• Everyone has responsibility for quality
©2011 MFMER | slide-19
The Primary Six Sigma Tools
• Process map
• Cause and effect analysis• Measurement systems analysis*
• Capability study*
• Failure mode and effects analysis
• Observational study (regression)*• Designed experiments*
• Control charts and out-of-control-action-plans*
* Statistical Tools 19
Measure, Analyze and Improve!Reduce Exam Prescription Variability….
Measure, Analyze and Improve!Reduce Exam Prescription Variability….
Executive SummaryExams are grouped by the dose range in 1 Gy increments,
The number of cases exceeding the Dose Threshold (set by the customer) are shown to the right.
5/3/2011
22
GE ‘Dose Watch’
Six Sigma/Informatics and Fluoroscopy
©2011 MFMER | slide-24
Three ‘steps’to improve fluoroscopy x-ray
prescriptions
1. Adding Copper filtration2. Lower pulse and frame rates3. Table-Detector positioning
©2011 MFMER | slide-25
ANALYZE: Lucite 15 cm to 35 cm20% Iodine solution for CNR measures
©2011 MFMER | slide-26
Slightly (~8-10%) reduced CNR 0.1 mm copper
CNR vs mm Cu Acquisition
0
20
40
60
80
100
120
140
160
0 0.2 0.4 0.6 0.8 1
mm Cu
CN
R
15cm Lucite20cm Lucite25cm Lucite27.5cm Lucite30cm Lucite35cm Lucite
©2011 MFMER | slide-27
BUT ~40% Lower Skin Dose 0.1mm Cu!
Differential Dose Acquisition
-90%
-80%
-70%
-60%
-50%
-40%
-30%
-20%
-10%
0%0.0 0.2 0.4 0.6 0.8 1.0
mm Cu
Perc
ent C
hang
e in
Dos
e fo
r A
dditi
on o
f Cop
per
15cm Lucite20cm Lucite25cm Lucite27.5cm Lucite30cm Lucite35cm Lucite
©2011 MFMER | slide-28
Step 1: EASY IMPROVEMENT!
• 0.1mm Copper minimum ADDED TO:
• 100% Stationary Fluoroscopy devices
• 100% protocols
• 100% Patients have 40% reduced exposure!
©2011 MFMER | slide-29
DMAI Control
©2011 MFMER | slide-30
Step 2:Operator Frame Rate Behaviors
• Lowering pulse and frame rates
• Important!: Can you see what is needed?
• Tool 1: Collect pilot examples
• Tool 2: Share results (data - Shine a light)
• Tool 3: Educate
©2011 MFMER | slide-31
(70-75 bpm, flat panel)(70-75 bpm, II)
7.5 FPS cine 15 FPS cineNew ½ Dose Old Dose
©2011 MFMER | slide-32
Shine a light!
Tool 2Data can Shine a light!
Names blocked out
Ufors RaySafe
Unfors RaySafe
Cumulative Dose (ESAK) Incidence Map
Shows Cumulative dose (ESAK) with respect to gantry angulations. The
horizontal axis indicates gantry positions with respect to LAO/RAO patient
positioning, and the vertical axis indicates cranial/caudal gantry positions. The dose (ESAK) is displayed on the incidence map indicating how much of the exam dose was distributed to the patient with respect to the
position of the gantry in 30 degree increments.
For purposes of reporting high skin dose events, add up the max total dose in any four contiguous blocks (four blocks with a corner in common). This represents the worst possible overlap of the collimated
fields, producing a "hot spot" that is potentially higher dose than any one of the
fields
5/3/2011
34
GE ‘Dose Watch’
©2011 MFMER | slide-35 ©2011 MFMER | slide-36
NEED TOOL!
• Was the 3.8 Gy skin exposure optimized?
• Analyze what happened!
• Educate to Improve behaviors
©2011 MFMER | slide-38©2011 MFMER | slide-38
Post Procedure(Informatics)
• Good Geometry?
• When was DSA
or Cine used?
©2011 MFMER | slide-39©2011 MFMER | slide-39
DMAIC-Improve: Informatics ToolALARA Review
3.8 Gy Total
©2011 MFMER | slide-40©2011 MFMER | slide-40
Informatics Tool 3ALARA Review
Good!Low detector!
High table
3.8 Gy Total
©2011 MFMER | slide-41©2011 MFMER | slide-41
DMAIC-Improve: Informatics ToolALARA Review
Table too low!Below IRP!
Detector too high!
3.8 Gy Total
©2011 MFMER | slide-42©2011 MFMER | slide-42
DMAIC-Improve: Informatics ToolALARA Review
3.8 Gy Total Max magneeded?
NOW! Six Sigma/Informatics and Computed Tomography
CT Value Stream (Process Map)
• Value is created via efforts of people as product created (knowledge).
• Relentless pursuit of waste elimination as competitive leverages
Scheduling Pt check in Pt prep CTScan
Report completed
Value Stream for CT Radiology
Protocoldetermined
Dose Informatics and Analytics
Clinician needs a CT
• Value to Patient/Physician customer is knowledge for optimal next action
ClinicianOrders
Pt check in Pt prep CTScan
Report completed
Protocoldetermined
Clinician Orders a CT
• Value to Patient/Physician customer is knowledge for optimal next action - ‘medical, surgical or interventional’
ClinicianOrders
Patientchecks in Pt prep CTScan
Report completed
Protocoldetermined
Are there useful Prior Exams?Eliminate Repeat?
Note Changes?
RSNA Image Share (NIBIB)
AWARE
AWARE
Clinician Reviews Prior Exams
Unfors RaySafe
Clinician Orders Exam
Unfors RaySafe
Unfors RaySafe
Clinician Orders NEW CT MEANWHILE…. Technologist manages the Protocol Book- the CT Exam ‘Scripts’
• Is this efficient?
ClinicianOrders
Patientchecks in Pt prep CTScan
Report completed
Protocols
What set of acquisitions are on the scanner?
On ALL scanners?All the SAME?
Protocol Management
Full document control including
• Track revisions to protocols• Review reminders• Web-based access• Customizable style sheets and
entry forms
Full document control including
• Track revisions to protocols• Review reminders• Web-based access• Customizable style sheets and
entry forms
Support for multiple scanners in a single protocolSupport for multiple scanners in a single protocol
In Complia nce With HIPAA regulations. Pa tient informa tion listed on the GUI are examples only and do not contain any actua l pa tient information
Protocol Manager ToolBayer HealthCare
EXPOSURE
Order in EMR transfers to RIS – generates Order
Protocol Manager Tool
Bayer Exposure
Radiologists selects a CT ‘Script’
• Prescribing an optimal CT exam
ClinicianOrders
Patientchecks in Pt prep CTScan
Report completedProtocols
What set of acquisitions create optimal diagnostic content?
Radiologists selects a CT ‘Script’
• Prescribing an optimal CT exam
ClinicianOrders
Patientchecks in Pt prep CTScan
Report completedProtocols
What set of acquisitions create optimal diagnostic content?
Do radiogists standardize prescription for indications?
CT tech and Nurse: Closest to Prescriptioncan highly affect quality!
ClinicianOrders
Patientchecks in Pt prep CTScan
Report completed
Protocoldetermined
Correct Patient? Order? Protocol?
Correct Patient? Order? Exam?Prep? Allergies?
Tech Administers X-ray ScriptSelects from CT Scanner
Protocol
• Scanners are NOT a node on the network!
• Scanner settings differ from Protocol Book!
• Differ between scanners
• Established console settings – good!• On the fly changes – variability in exams
• Console settings complicated – need virtual scanner
Scanner
Individuals closest to ‘product’ most able to affect quality
• Toyota Assembly Line worker STOPS the Line!• Procedural Pause – Operating Room
Dose Check!
GE: Establish Dose Check Values by Protocol
Centering the Patient in the GantryProcess Variability
1. Magnification Errors
2. FOV Cut-off AP
3. FOV Cut-off Zaxis
Table Height in gantry
True Perceived
• Lateral Laser Lights – Table Height
• Table Height – affects mA modulation
• Table more LIKELY to be too LOW
Configure x-ray tube at top!
PA Scout AP Scout
5 10 15 20020 15 10 5
5 10 15 20020 15 10 5
1. Mag Error - mA modulation
©2011 MFMER | slide-68
PA ScoutTable Low
52 cm
AP ScoutTable Center
45 cm
Tube: below above above
AP ScoutTable High
47 cm
2. FOV Cut-off AP
Patient low on lateral scout.
Raise table in gantry.
Acquire AP scout.
Patient low on lateral scout.
Raise table in gantry.
Re-acquire lateral scout.
Acquire AP scout.
Scout misrepresents patient position for FOV.
Scout represents patient position for FOV.
©2011 MFMER | slide-70
3. FOV Cut-off Zaxis
Exam 1
Properly Centered – No Mag
FOV INSIDE of CT Radiograph!Auto mA is working!
Exam 4
Patient LOW – CT Radiograph isMagnified!
FOV OUTSIDE of CT Radiograph!Auto mA is confused!
LAT = 375 mm AP = 271 mm
mA modulationOff isocenter shift
Protocol name = 5.1 CAP WOPatient position : FFSDLP = 597 mGy.cm
CTDIvol = 28,5 mGyCTDIvol = 28,5 mGy
John DOE PID : 12345 AN : 235647 Study description : CAP CT
Series description : CAPLAT + AP = 646 mm
Diametereff = 31,5 cm
fSSDE = 1,16
IEC BODY DOSIMETRY PHA NTOM ACCEPTACCEPTREDRAWREDRAW
SSDE = 33,06 mGySSDE = 33,06 mGy
IEC BODY PHANTOM
Off isocenter shift
Table height = 163
Delta Y
Delta X
Delta X = 28 mmDelta Y = 33 mm
I 56
S703
Mean = 368 mAMin = 149 mAMax = 475 mA
mA range :
Quality Review of CT Dose
• ACR National Radiation Dose Registry
• ACR CT Accreditation - Medical Physics Review
• Joint Commission SE #47
• California SB 1237
ACR CT Quality Control Manual
©2011 MFMER | slide-75 ©2011 MFMER | slide-76
New Requirements for CT ACR Accreditation
NRDR – ACR Informatics for CT
©2011 MFMER | slide-77
Routine Head – No Contrast
JC: Institute a process for the review of alldosing protocols…
©2011 MFMER | slide-78
JC: Investigate Doses outside the range
• 6030_Abdomen_Pelvis scan length 40-60 cm
©2011 MFMER | slide-79
Toolkit
Integrated Dosimetry
In Complia nce With HIPAA regulations. Pa tient informa tion listed on the GUI are examples only and do not contain any actua l pa tient information
Bayer HealthCare Exposure
Examination Analysis
In Complia nce With HIPAA regulations. Pa tient informa tion listed on the GUI are examples only and do not contain any actua l pa tient information
Bayer HealthCare Exposure
mSv
Integrated Dosimetry
In Complia nce With HIPAA regulations. Pa tient informa tion listed on the GUI are examples only and do not contain any actua l pa tient information
Bayer HealthCare Exposure
a
Paden, Robert G. (Gene)PHYSICIST-DIAGNOSTICIM…
Boltz, Thomas F. IIISPEC-DIAG RAD PHYSICS…
Hanson, James A.SPEC-DIAG RAD PHYSICS…
Zhang, MinSCIENTIST/PROGRAMMER…
Wu, Lin-WeiSCIENTIST/PROGRAMMER…
Mango Kaiser, Janice H. …SUPV-CT IMAG-AZ
Loprino, Shirley A., R.T.(R)MGR-RAD IMAG-AZ
Ermer, Ellen R. ANALYST III-BUS SYS…
Sabyan, Stephen J., R.T. …SUPV-IR/CATH-AZ
Wilt, Michelle A., R.T.(R) SUPV-GEN RAD IMAG-AZ
Fike, Rachel D. TECH I-CLINICAL ENG-AZ
Sanchez, Juan J. TL-BIOMED/IMAG-AZ
Ledoux, Elaine M., R.T. ...TECH-CT IMAG II-AZ
Leyk, Linda L., R.T.(R)...TL-CT IMAG-AZ
Osborn, Howard H., R.N. SUPV RN-INPT/365-AZ
Naidu, Sailendra G., M.D. CONS-DIAGNOSTIC RAD
Huettl, Eric A., M.D. CONS-DIAGNOSTIC RAD
Wellnitz, Clinton V., M.D. CONS-DIAGNOSTIC RAD
Kriegshauser, Jeffry S. , M.D. CONS-DIAGNOSTIC RAD
Hara, Amy K., M.D. CONS-DIAGNOSTIC RAD
Informatics - Powerful tools for your toolbox!Thank you!