A Pre-operative Score to Discriminate Fibroepithelial Lesions of the Breast: Phyllode Tumor or Fibroadenoma?


Journal

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

Informations de publication

Date de publication:
Feb 2020
Historique:
received: 14 12 2019
revised: 19 12 2019
accepted: 30 12 2019
entrez: 5 2 2020
pubmed: 6 2 2020
medline: 20 2 2020
Statut: ppublish

Résumé

Fibroepithelial lesions (FEL) of the breast include fibroadenomas and phyllodes tumors (PT). Their histologic characteristics on core needle biopsy can overlap, while their clinical management is different. The aim of this study was to develop and to validate a pre-operative score for the diagnosis of PT with surgical decision rules. We developed a pre-operative score for the diagnosis of PT by performing logistic regression on 217 FEL of the Rene Huguenin Hospital. This score and the surgical decision rules were validated on 87 FEL of the Lariboisiere Hospital. Three variables were independently and significantly associated with PT: age ≥40 years, mammography's tumor size ≥3 cm and PT diagnosed by CNB. The pre-operative score was based on these three criteria with values ranging from 0 to 10. Surgical decision rules were created: the low-risk group of PT (score≤2) had a sensitivity of 92.6% and a LR- of 0.2, the high-risk group (score>7) had a specificity of 93.5% and a LR+ of 4.4. In the validation sample, surgical decision rules were applied. These surgical decision rules may prove useful in deciding which FEL needs surgical resection.

Sections du résumé

BACKGROUND/AIM OBJECTIVE
Fibroepithelial lesions (FEL) of the breast include fibroadenomas and phyllodes tumors (PT). Their histologic characteristics on core needle biopsy can overlap, while their clinical management is different. The aim of this study was to develop and to validate a pre-operative score for the diagnosis of PT with surgical decision rules.
PATIENTS AND METHODS METHODS
We developed a pre-operative score for the diagnosis of PT by performing logistic regression on 217 FEL of the Rene Huguenin Hospital. This score and the surgical decision rules were validated on 87 FEL of the Lariboisiere Hospital.
RESULTS RESULTS
Three variables were independently and significantly associated with PT: age ≥40 years, mammography's tumor size ≥3 cm and PT diagnosed by CNB. The pre-operative score was based on these three criteria with values ranging from 0 to 10. Surgical decision rules were created: the low-risk group of PT (score≤2) had a sensitivity of 92.6% and a LR- of 0.2, the high-risk group (score>7) had a specificity of 93.5% and a LR+ of 4.4. In the validation sample, surgical decision rules were applied.
CONCLUSION CONCLUSIONS
These surgical decision rules may prove useful in deciding which FEL needs surgical resection.

Identifiants

pubmed: 32014959
pii: 40/2/1095
doi: 10.21873/anticanres.14048
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1095-1100

Informations de copyright

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

Auteurs

Camille Mimoun (C)

Department of Surgical Oncology, Rene Huguenin, Saint-Cloud, France mimouncamille@gmail.com.
Department of Gynecology and Obstetrics, Lariboisiere Hospital, Paris, France.
Research unit EA 7285 "Risk and safety in clinical medicine for women and perinatal health", University of Versailles Saint-Quentin (UVSQ), Versailles, France.

Amelie Zeller (A)

Department of Gynecology and Obstetrics, Lariboisiere Hospital, Paris, France.

Julien Seror (J)

Department of Surgical Oncology, Rene Huguenin, Saint-Cloud, France.

Laurene Majoulet (L)

Department of Surgical Oncology, Rene Huguenin, Saint-Cloud, France.

Eva Marchand (E)

Department of Gynecology and Obstetrics, Lariboisiere Hospital, Paris, France.

Matthieu Mezzadri (M)

Department of Gynecology and Obstetrics, Lariboisiere Hospital, Paris, France.

Pascal Cherel (P)

Department of Surgical Oncology, Rene Huguenin, Saint-Cloud, France.

Vinciane Place (V)

Department of Gynecology and Obstetrics, Lariboisiere Hospital, Paris, France.

Françoise Cornelis (F)

Department of Gynecology and Obstetrics, Lariboisiere Hospital, Paris, France.

Jean-Louis Benifla (JL)

Department of Gynecology and Obstetrics, Lariboisiere Hospital, Paris, France.

Roman Rouzier (R)

Department of Surgical Oncology, Rene Huguenin, Saint-Cloud, France.

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Classifications MeSH