Center for Biomedical Imaging at Stanford (CBIS) Survey

Department of Radiology

March 4, 2008

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Center for Biomedical Imaging at Stanford

• Within Stanford University, the CBIS will be one of three strategic centers forming a matrix with the five Stanford Institutes of Medicine

Strategic Centers:• Center for Biomedical Imaging at Stanford: planned• Stanford Center for Clinical Informatics: existing• Stanford Genomics Center: planned

Institutes of Medicine:• The Neuroscience Institute at Stanford• Stanford Cancer Center• Stanford Cardiovascular Institute• Stanford Institute for Immunity, Transplantation and Infection• Stanford Institute for Stem Cell Biology and Regenerative Medicine

• The centers enhance the linkage between basic science and clinical medicine, and thereby, foster Translating Discoveries, as defined by the School of Medicine strategic plan

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Center for Biomedical Imaging at Stanford

• The success of the center depends on its ability to reach broadly across the campus to develop leadership, collaboration, and participation in the center

• CBIS is designed to cut across departments, institutes, and schools lines, as indicated in the adjacent modified Venn diagram

• As its primary goal, CBIS strives to provide educational and networking opportunities for all groups on campus that use or have interest in biomedical imaging applications

• The education and networking goals of CBIS will increase knowledge in biomedical imaging, improve access to imaging resources, and facilitate translational research, in keeping with the SoM strategic plan

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Center for Biomedical Imaging at Stanford

• To improve human health and advance the field of biomedical imaging, CBIS will Foster multidisciplinary research programs Build industry-academic partnerships Host seminars and conferences Work with faculty to develop training opportunities Provide information resources Participate in community efforts beyond the Stanford campus

• To achieve the goals of education and networking, the CBIS strongly encourages active participation from across the University, including, but not limited to, the Schools of Medicine, Engineering, and Humanities and Sciences

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Survey Overview

• Surveys sent to 1,306 faculty in 5 schools (46 departments)

• 27% response rate

354 faculty in 5 schools (45 departments)

• Recurring themes:

Access to clinical imaging (MRI, PET)

Access to research imaging (all modalities but especially MRI and PET)

Potential for CBIS in education

Health care costs & imaging

Modeling and simulation

Pediatric imaging

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Respondent Distribution by School

Graduate School of Business

1%

Law 1%

Engineering10%

Humanities and Sciences

10%

Medicine78%

N=354 [total respondents]

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Response Rate by School

3%

6%

16%

20%

36%

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

Graduate Schoolof Business

[N=90]

Law[N=47]

Engineering[N=232]

Humanities andSciences[N=178]

Medicine[N=759]

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Response Rate by Department: School of Medicine

27 Departments

9%

14%

20%

22%

22%

24%

28%

32%

32%

32%

33%

34%

36%

37%

38%

38%

38%

41%

42%

43%

43%

54%

57%

57%

57%

75%

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

Cardiothoracic Surgery [N=11]

Biochemistry [N=7]

Radiation Oncology [N=20]

Dermatology [N=9]

Ophthalmology [N=9]

Surgery [N=50]

Anesthesia [N=40]

Medicine [N=152]

Psychiatry & Behavioral Sci [N=63]

Orthopaedic Surgery [N=22]

Microbiology and Immunology [N=12]

Pathology [N=56]

OBGYN [N=22]

Neurology [N=27]

Chemical & Systems Biology [N=8]

Structural Biology [N=8]

Developmental Biology [N=13]

Neurosurgery [N=17]

Genetics [N=12]

Pediatrics [N=82]

Health Research and Policy [N=14]

Radiology [N=54]

Comparative Medicine [N=7]

Otolaryngology & HNS [N=14]

Urology [N=14]

Molec & Cell Physiology [N=8]

Neurobiology [N=8]

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Response Rate by Department: Outside of SoM

19 Departments

0%

3%

4%

6%

6%

8%

9%

10%

12%

14%

21%

21%

22%

23%

24%

29%

33%

33%

64%

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

Aeronautics and Astronautics [N=13]

Graduate School of Business [N=90]

Physics [N=23]

Computer Science [N=33]

Law [N=47]

Chemical Engineering [N=12]

Management Science & Engineering [N=34]

Mathematics [N=29]

Civil & Environmental Engineering [N=25]

Mechanical Engineering [N=37]

Linguistics [N=14]

Materials Science & Engineering [N=14]

Biological Sciences [N=46]

Electrical Engineering [N=53]

Psychology [N=25]

Statistics [N=14]

Applied Physics [N=12]

Chemistry [N=15]

Bioengineering [N=11]

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Rate your Interest in the CBIS:“Strong Interest” + “Moderate Interest” responses

5%

50%

76%

0% 20% 40% 60% 80% 100%

Other

Clinical

Research

SoMoutside SoM

N=354 [total respondents]

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Rate your Interest in the CBIS

• 28 comments 6 discussed the educational potential for the CBIS Access to imaging resources Collaboration

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Rate your Interest in the Following Features of the CBIS:“Strong Interest” + “Moderate Interest” responses

17%

27%

32%

36%

46%

0% 20% 40% 60% 80% 100%

Networking/Marketing

Leadership Role

Educational Committee

Organizational Development

Scientific Committee

SoMoutside SoM

N=354 [total respondents]

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Rate your Interest in the Following Imaging Functions:“Strong Interest” + “Moderate Interest” responses

39%

46%

53%

54%

55%

58%

63%

0% 20% 40% 60% 80% 100%

Simulation

Modeling

Visualization

Image Reconstruction

Application/Interpretation

Data Acquisition

Image Analysis

SoMoutside SoM

N=354 [total respondents]

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Rate your Interest in the Following Imaging Scales:“Strong Interest” + “Moderate Interest” responses

24%

24%

40%

41%

44%

48%

53%

57%

0% 20% 40% 60% 80% 100%

Large Animal Imaging

Single Molecule

Small Animal Imaging

Cellular Imaging (ex vivo)

Molecular Imaging

Cellular Imaging (in vivo)

Functional Imaging

Human Imaging (research or clinical)

SoMoutside SoM

N=354 [total respondents]

15

Imaging Scales and Technologies in Which you Have Interest

7%

6%

12%

10%

22%

10%

8%

11%

16%

16%

22%

11%

12%

10%

18%

17%

32%

15%

10%

11%

20%

21%

25%

16%

11%

13%

21%

21%

28%

17%

12%

16%

25%

27%

32%

21%

13%

18%

27%

27%

31%

21%

0% 10% 20% 30% 40% 50%

Animal

Molecules

Organ/Physiology/

Function

Cells

Human

All Imaging Scales

Data AcquisitionImage AnalysisVisualizationImage ReconstructionApplication/InterpretationModelingSimulation

N=354 [total respondents]

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Imaging Scales and Technologies you Use

3%

4%

5%

5%

12%

5%

3%

5%

7%

8%

15%

6%

5%

6%

9%

12%

25%

10%

4%

7%

11%

13%

22%

12%

4%

8%

14%

17%

21%

16%

5%

10%

16%

23%

26%

18%

5%

11%

17%

23%

25%

19%

0% 10% 20% 30% 40% 50%

Animal

Molecules

Organ/Physiology/

Function

Cells

Human

AllImagingScales

Data AcquisitionImage AnalysisVisualizationImage ReconstructionApplication/InterpretationModelingSimulation

N=354 [total respondents]

17

Source of Biomedical Imaging Instrumentation you Use

19%

9%

54%

0% 20% 40% 60% 80% 100%

Unique InstrumentationDeveloped by a Group at

Stanford (developed for your groupor another Stanford group)

Unique InstrumentationDeveloped for you by

Industry

Commercially AvailableInstrumentation

SoMoutside SoM

N=354 [total respondents]

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Do you Have a Need for Biomedical Imaging Resources that are Either Unavailable or not Sufficiently Available?

43%

32%

0% 20% 40% 60% 80% 100%

No

Yes

SoMoutside SoM

N=354 [total respondents]

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What Percentage of your FTE is Devoted to:

N=354 [total respondents]

0% FTE42%

<50% FTE26%

>50% FTE30%

100% FTE2%

0% FTE5%

<50% FTE34%

>50% FTE39%

100% FTE22%

Clinical Service Research Efforts

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Biomedical Imaging Resources or Access Needed[chart depicts the number of times an item was defined as a need]

3

3

4

4

4

6

7

7

8

9

9

13

16

0 2 4 6 8 10 12 14 16 18

Education

Brain Imaging

Optical

Fluorescent

Confocal

Cell Imaging

Small Animal

EM

Image Data/Computation

PET & Combo

2 Photon

Large Animal

MRI

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45 Faculty Identified Relevant Website Addresses for Inclusion on the CBIS Website

• Russ Altman

• Annelise E. Barron

• Daniel Bernstein

• Matthew Bogyo

• Steven Boxer

• Anna Bruckner

• Mark A. Cappelli

• Gunnar Carlsson

• Chris Constantinou

• Reinhold Dauskardt

• Scott Delp

• Abbas El Gamal

• Sanjiv Gambhir

• Sabine Girod

• Giorgio Gratta

• Harry Greenberg

• James Harris

• Leonore A. Herzenberg

• Susan Holmes

• Mark Kay

• B. (Pierre) Khuri-Yakub

• Peter K. Kitanidis

• Brian Knutson

• Eric Kool

• Amy Ladd

• Craig Levin

• Sharon Long

• Henry Lowe

• Deirdre Lyell

• Sean Mackey

• Gordon Matheson

• Michael V. McConnell

• Uel Jackson Mcmahan

• Vinod Menon

• Mary Beth Mudgett

• Sandy Napel

• John M. Pauly

• Andrew Quon

• Natalie Rasgon

• Mark Schnitzer

• Baba Shiv

• Lawrence M. Shuer

• Daniel Spielman

• Charles Taylor

• Brian Wandell

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Conclusion

• Good response rate: 27% of faculty, 98% of departments

• Interest in the CBIS (“strong” + “moderate” responses) Research: 76%

• School of Medicine: 212 individuals• outside of SoM: 56 individuals

Clinical: 50%• School of Medicine: 156 individuals• outside of SoM: 20 individuals

• Broad homogenous interest for all aspects of biomedical imaging. No defined area of low interest.

• Strong recruitment base for advisory and/or scientific board

• 32% of the respondents reported a need for increased resources or access to biomedical imaging