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Standardizing Image Acquisition

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Title: The Potential for Molecular Imaging as a Biomarker in Anti-Cancer Drug Development Subject: 2003 SMI Plenary Lecture Author: Jeffrey L. Evelhoch – PowerPoint PPT presentation

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Title: Standardizing Image Acquisition


1
Standardizing Image Acquisition
  • Jeffrey L. Evelhoch, PhD
  • Director
  • Medical Sciences (Imaging)

2
Why standardize acquisition?
Best Image Processing Ever
3
Issues to consider
  • Manufacturer-based differences
  • Technology changes
  • Not all sites are created equal
  • QC for quantitative v. diagnositic imaging
  • Appropriate method depends on
  • Exact question
  • Image analysis methods
  • Who will mind the shop

4
An Example Consensus Protocol
  • DCE-MRI
  • Early phase clinical trials for drugs targeting
    tumor blood supply      
  • Low molecular weight gadolinium chelates
  • 1.5 Tesla

5
A Brief History
  • October 1999 NCI Workshop ? consensus
    recommendation
  • Included both treatment response and breast
    diagnosis
  • March 2002 CRUK PTAC Workshop ? consensus
    recommendation
  • Treatment response in early clinical trials
  • Nov 2004 NCI Workshop ? consensus recommendation
  • Treatment response in early clinical trials

6
NCI Workshop Participants
  • Jeffrey Abrams
  • Thomas Chenevert
  • Laurence Clarke
  • Jerry Collins
  • Jeffrey Evelhoch
  • Susan Galbraith
  • Michael Knopp
  • Jason Koutcher
  • Martin Leach
  • Nina Mayr
  • Daniel Sullivan
  • Edward Ashton
  • Peter Choyke
  • Patricia Cole
  • Gregory Curt
  • Milind Dhamankar
  • Michael Jacobs
  • Gary Kelloff
  • Adrian Knowles
  • Lester Kwock
  • Peter Martin
  • Teresa McShane
  • Anwar Padhani
  • Stefan Roell
  • Mark Rosen
  • Gregory Sorensen
  • Charles Springer
  • Michael Tweedle
  • Donald Williams
  • Antonio Wolff

7
Specific recommendations for
  • Type of measurement
  • Requirements for contrast agent injection
  • Primary endpoints
  • Secondary endpoints
  • Nomenclature
  • Data reduction
  • Region of interest
  • Images acquired prior to contrast injection
  • Dynamic acquisition protocol
  • Measurement requirements for primary endpoints
  • Trial design
  • Image analysis

8
Lets consider issues approaches adopted to
address those issues
9
Manufacturer-based differences
e.g., Sequence names e.g., Sequence names e.g., Sequence names e.g., Sequence names
Sequence GE Philips Siemens
Gradient echo GRASS FFE GRE
Spoiled Gradient echo SPGR T1FFE FLASH
Inversion Recovery MPIR IR-TSE TurboIR
10
Approaches
  • Need access to experts on all systems
  • Use basic sequences (differences smaller)
  • Tweak parameters to match as closely as possible
  • Make certain reconstruction methods are as close
    as possible
  • Same reference standard on all systems

11
Technology changes ? keep it simple
  • 1.5-T (for near future)
  • Basic sequences (less likely to change with
    upgrades)
  • Parameters (at least) one step back from cutting
    edge
  • Use analysis with considerable experience within
    community, most forgiving
  • Revisit recommendations periodically

12
Not all sites are created equal
  • Keep it simple
  • Training, training, training,
  • Routine QC
  • Careful monitoring
  • Immediate feedback

13
QC for quantitative v. diagnositic imaging
  • Requires higher performance
  • MR system
  • Sequences
  • Set-up procedures
  • Radiological processes
  • Better here

or here?
14
Appropriate method
  • For breast cancer diagnosis want dynamic
    temporal-spatial resolution trade-off

M. Schnall,MRM 2001
15
Who will mind the shop?
16
Summary of key recommendations fordata
acquisition
17
General Issues
  • Entry criteria should consider tumor size in
    relation to pharmacological mechanisms, MRI
    resolution, sensitivity to motion and potential
    confounding factors from previous treatment
    (e.g., radiation) or rapid tumor growth rates
  • Tumors in a fixed superficial location should be
    at least 2 cm in diameter other tumors should be
    at 3 cm in diameter
  • Adjust orientation so that motion is in-plane
    when motion effects cannot be avoided (e.g.,
    liver, lungs)

18
Pre-injection
  • Acquire high quality clinical images of entire
    anatomic region (preferably in two orthogonal
    planes)
  • Acquire T1- and T2-weighted images registered in
    the same planes as the dynamic data
  • If possible, measure T1 (using same resolution
    and field of view for dynamic data)

19
Contrast agent injection
  • Use power injector to minimize variation
  • Injection dose should be standardized by weight
  • 15-30 sec for total injection, at least 20 cc
    saline flush
  • Document injection site, use same site for
    subsequent studies in same subject
  • Minimum of 24 h between studies

20
Dynamic study (I)
  • For first 150 sec after bolus injection, use
    fastest sampling possible consistent with spatial
    resolution/anatomic coverage requirements, but
    not slower than 20 sec temporal resolution

21
Dynamic study (II)
  • Acquire data out to at least 8 min (continual
    sampling is optional)
  • If possible, include in imaging volume a
    normalization function (e.g., arterial or other
    tissue)
  • For serial studies, imaging volume of interest
    should be adjusted to sample same region of tumor

22
Summary
  • Development application of appropriate protocol
    requires close academic-industry interaction
  • For multi-center studies
  • Keep it as simple as possible while still getting
    the required info
  • Clarity education up front is essential
  • Non-standard methods require substantial
    continuous support
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