Impact of BMI on Preoperative Axillary Ultrasound Assessment in Patients With Early Breast Cancer.


Journal

Anticancer research
ISSN: 1791-7530
Titre abrégé: Anticancer Res
Pays: Greece
ID NLM: 8102988

Informations de publication

Date de publication:
Dec 2020
Historique:
received: 20 08 2020
revised: 13 10 2020
accepted: 15 10 2020
entrez: 8 12 2020
pubmed: 9 12 2020
medline: 18 12 2020
Statut: ppublish

Résumé

The accuracy of axillary ultrasound (AUS) with fine-needle aspiration with varying patient body mass index (BMI) is still unclear. The aim of our study was to evaluate whether the US features of axillary lymph nodes changes with BMI of patients. A retrospective review was performed involving 144 out of 270 patients with early breast cancer who underwent breast surgery with sentinel lymph node biopsy. Diagnostic efficacy of AUS in preoperative axillary nodal staging was assessed in relation to BMI. Negative predictive values of AUS for the overweight and obese groups were statistically significantly lower compared to the normal/underweight group (p=0.02 and p=0.003, respectively). Additionally, Spearman's correlation coefficient R between BMI and positive sentinel lymph node biopsy was 0.257, suggesting a significantly positive linear relationship between the two variables in the cohort overall. Our results demonstrate how in our cohort the negative predictive value of AUS was significantly influenced by adipose tissue and that the selection of the most suitable instrumental diagnostic technique might contribute to improving heterogeneous results.

Sections du résumé

BACKGROUND BACKGROUND
The accuracy of axillary ultrasound (AUS) with fine-needle aspiration with varying patient body mass index (BMI) is still unclear. The aim of our study was to evaluate whether the US features of axillary lymph nodes changes with BMI of patients.
PATIENTS AND METHODS METHODS
A retrospective review was performed involving 144 out of 270 patients with early breast cancer who underwent breast surgery with sentinel lymph node biopsy. Diagnostic efficacy of AUS in preoperative axillary nodal staging was assessed in relation to BMI.
RESULTS RESULTS
Negative predictive values of AUS for the overweight and obese groups were statistically significantly lower compared to the normal/underweight group (p=0.02 and p=0.003, respectively). Additionally, Spearman's correlation coefficient R between BMI and positive sentinel lymph node biopsy was 0.257, suggesting a significantly positive linear relationship between the two variables in the cohort overall.
CONCLUSION CONCLUSIONS
Our results demonstrate how in our cohort the negative predictive value of AUS was significantly influenced by adipose tissue and that the selection of the most suitable instrumental diagnostic technique might contribute to improving heterogeneous results.

Identifiants

pubmed: 33288606
pii: 40/12/7083
doi: 10.21873/anticanres.14736
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

7083-7088

Informations de copyright

Copyright © 2020 International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

Auteurs

Ina Macaione (I)

Department of Surgical, Oncological and Oral Sciences, Surgical Oncology Unit University of Palermo, Palermo, Italy.

Antonio Galvano (A)

Department of Surgical, Oncological and Oral Sciences, Medical Oncology Unit, University of Palermo, Palermo, Italy.

Giuseppa Graceffa (G)

Department of Surgical, Oncological and Oral Sciences, Surgical Oncology Unit University of Palermo, Palermo, Italy.

Simona Lupo (S)

Department of Surgical, Oncological and Oral Sciences, Surgical Oncology Unit University of Palermo, Palermo, Italy.

Mario Latteri (M)

Department of Surgical, Oncological and Oral Sciences, Surgical Oncology Unit University of Palermo, Palermo, Italy.

Antonio Russo (A)

Department of Surgical, Oncological and Oral Sciences, Medical Oncology Unit, University of Palermo, Palermo, Italy.

Salvatore Vieni (S)

Department of Surgical, Oncological and Oral Sciences, Surgical Oncology Unit University of Palermo, Palermo, Italy.

Calogero Cipolla (C)

Department of Surgical, Oncological and Oral Sciences, Surgical Oncology Unit University of Palermo, Palermo, Italy; calogero.cipolla@unipa.it.

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Classifications MeSH