Journal of the National Cancer Institute American Cancer Society Breast Cancer Facts and Figures Atlanta GA American Cancer Society




TITLE PAGE 
 

Manuscript Title: Effectiveness of a dynamic breast examination training model to improve clinical breast examination (CBE) skills 
 

Running Title: Dynamic clinical breast exam training model 
 

Authors:  
 

Gregory J. Gerling, M.S., Industrial Engineering, University of Iowa

Industrial Engineering

3131 Seamans Center

Iowa City, Iowa 52242

(319)-358-1615 
 

Alicia M. Weissman, M.D., Family Medicine, University of Iowa

Family Medicine 
01291-A PFP

Iowa City, Iowa 52242 
(319)-384-7765
 
 

Geb W. Thomas, PhD, Industrial Engineering, University of Iowa

Industrial Engineering

2404 Seamans Center

Iowa City, Iowa 52242

(319)-335-5936 
 

Edwin L. Dove, PhD, Biomedical Engineering, University of Iowa

Biomedical Engineering

1412 Seamans Center

Iowa City, Iowa 52242

(319)-335-5635 
 

Corresponding Author:

Gregory J. Gerling

Department of Industrial Engineering

3131 Seamans Center

Iowa City, Iowa 52242

Telephone: (319)-358-1615

Fax: (319)-335-5669

Email: gregory-gerling@uiowa.edu 
 

Total text pages: 21

Total tables: 0

Total illustrations (figures): 6

Acknowledgement of Support:

University of Iowa College of Medicine Educational Development Fund

University of Iowa Central Investment Fund for Research Enhancement Grant 
ABSTRACT

Despite the potential utility of clinical breast examination (CBE), doctors’ palpation skills are often inadequate and difficult to train.  CBE sensitivity ranges from 39-59%, in part because current training does not effectively teach tactile skills.  To address CBE training limitations, we developed a breast examination training model with 15 dynamically controlled lumps, set to desired hardness within underlying rib and muscle structures, in a silicone breast.  In an experiment of 48 medical students, training with the dynamic model increased lump detection by 1.35

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    Journal of the National Cancer Institute American Cancer Society Breast Cancer Facts and Figures Atlanta GA American Cancer Society

    TITLE PAGE 
     

    Manuscript Title: Effectiveness of a dynamic breast examination training model to improve clinical breast examination (CBE) skills 
     

    Running Title: Dynamic clinical breast exam training model 
     

    Authors:  
     

    Gregory J. Gerling, M.S., Industrial Engineering, University of Iowa

    Industrial Engineering

    3131 Seamans Center

    Iowa City, Iowa 52242

    (319)-358-1615 
     

    Alicia M. Weissman, M.D., Family Medicine, University of Iowa

    Family Medicine 
    01291-A PFP

    Iowa City, Iowa 52242 
    (319)-384-7765
     
     

    Geb W. Thomas, PhD, Industrial Engineering, University of Iowa

    Industrial Engineering

    2404 Seamans Center

    Iowa City, Iowa 52242

    (319)-335-5936 
     

    Edwin L. Dove, PhD, Biomedical Engineering, University of Iowa

    Biomedical Engineering

    1412 Seamans Center

    Iowa City, Iowa 52242

    (319)-335-5635 
     

    Corresponding Author:

    Gregory J. Gerling

    Department of Industrial Engineering

    3131 Seamans Center

    Iowa City, Iowa 52242

    Telephone: (319)-358-1615

    Fax: (319)-335-5669

    Email: gregory-gerling@uiowa.edu 
     

    Total text pages: 21

    Total tables: 0

    Total illustrations (figures): 6

    Acknowledgement of Support:

    University of Iowa College of Medicine Educational Development Fund

    University of Iowa Central Investment Fund for Research Enhancement Grant 
    ABSTRACT

    Despite the potential utility of clinical breast examination (CBE), doctors’ palpation skills are often inadequate and difficult to train.  CBE sensitivity ranges from 39-59%, in part because current training does not effectively teach tactile skills.  To address CBE training limitations, we developed a breast examination training model with 15 dynamically controlled lumps, set to desired hardness within underlying rib and muscle structures, in a silicone breast.  In an experiment of 48 medical students, training with the dynamic model increased lump detection by 1.35