Skip to main content
. Author manuscript; available in PMC: 2022 Apr 1.
Published in final edited form as: J Surg Oncol. 2021 Feb 12;123(5):1206–1214. doi: 10.1002/jso.26420

Table 4.

Acceptability rating for the 3D printed breast model (3D-BM).

Acceptability feature Overall (N=27)

Impact in understanding breast cancer
 Excellent 16 (66.7%)
 Good 8 (33.3%)

Understanding disease size
 Excellent 19 (76.0%)
 Good 6 (24.0%)

Breast components
 Excellent 19 (76.0%)
 Good 3 (12.0%)
 Fair 3 (12.0%)

Understanding surgical options
 Excellent 19 (76.0%)
 Good 5 (20.0%)
 Fair 1 (4.0%)

Promoting asking questions
 Excellent 19 (76.0%)
 Good 4 (16.0%)
 Fair 2 (8.0%)

Eliciting an emotional response
 Excellent 11 (45.8%)
 Good 8 (33.3%)
 Fair 1 (4.2%)
 Poor 4 (16.7%)

Detail of the 3D-BM
 Just right 23 (92.0%)
 Too little 2 (8.0%)

Bias
 Balanced 18 (72.0%)
 Bias to BCS* 4 (16.0%)
 Bias to mastectomy 3 (12.0%)

Helpfulness in decision making
 Yes 25 (100.0%)

Informative
 Yes 25 (100.0%)

Influence of surgical consult discussion in decision making
 Easier 23 (92.0%)
 More difficult 1 (4.0%)
 Neither 1 (4.0%)

Quantity of information provided in the model
 No 2 (8.0%)
 Yes 23 (92.0%)
*

BCS: Breast conserving surgery