Anthropometric estimates can predict satisfaction with breast in a population of asymptomatic women
This study generates normative scores for a Mediterranean population of asymptomatic women and demonstrates relevant associations between anthropometry and breast related quality of life. Machine learning techniques may predict scores of the "satisfaction with breast" domain of the Breast_Q using body mass index and nipple to sternal notch estimates as input. However, the algorithm seems to fail in approximately one third of the sample probably because is not able to capture many aspects of personal life. Much larger sample and more qualitative research is required before establishing any direct association between body estimates and quality of life. Clinical implications are given.
Authors
- Valeria Sebri (ORCID: https://orcid.org/0000-0002-1227-7336)
- Giuseppe Catanuto (ORCID: https://orcid.org/0000-0003-3774-8605)
- Patrizia Dorangricchia (ORCID: https://orcid.org/0000-0002-2873-2225)
- Francesco Pappalardo (ORCID: https://orcid.org/0000-0003-1668-3320)
- C Fichera
- Francesco Caruso (ORCID: https://orcid.org/0000-0001-8212-3132)
- Nicola Rocco (ORCID: https://orcid.org/0000-0001-6941-7873)
- Valentina Di Salvatore (ORCID: https://orcid.org/0000-0001-5576-3070)
- Gabriella Pravettoni (ORCID: https://orcid.org/0000-0002-4843-4663)
Institutions
- Humanitas University (IT)
- University of Milan (IT)
- University of Catania (IT)
- Federico II University Hospital (IT)
- Lega Italiana per la Lotta ai Tumori (IT)
- European Institute of Oncology (IT)
- University of Naples Federico II (IT)
Publication Details
- Journal
- Journal of Patient-Reported Outcomes
- Published
- 2024-11-28
- DOI
- https://doi.org/10.1186/s41687-024-00814-9
- Primary Topic
- Breast Implant and Reconstruction
- Type
- article
- Field-Weighted Citation Impact
- 0.00