"Growing fibroadenoma": Are there clinical and pathological features predicting a phyllodes tumor on surgical excision?


Journal

Annals of diagnostic pathology
ISSN: 1532-8198
Titre abrégé: Ann Diagn Pathol
Pays: United States
ID NLM: 9800503

Informations de publication

Date de publication:
Feb 2023
Historique:
received: 10 10 2022
revised: 07 11 2022
accepted: 18 11 2022
pubmed: 18 12 2022
medline: 4 1 2023
entrez: 17 12 2022
Statut: ppublish

Résumé

In cases of growth of FA on imaging, core needle biopsies (CNB) are often performed to rule out phyllodes tumor (PT). We aim to focus on "growing FAs" and to identify clinical and histopathologic features that are likely to predict a PT on excision. Thirty-four FAs with radiologic documentation of growth were included. Various clinical and pathological features such as age, body mass index (BMI), lesion size, and growth rate were recorded. On excision, 17 cases (50 %) were FAs, whereas 16 (47 %) were re-classified as benign PT despite only 19 % being suspicious for PT on CNB. PT patients were older (mean age 42.6) than those with FAs (mean age 28.2), p = 0.0002. All false negative cases demonstrated intracanalicular growth. Mitotic rate was the most significant histologic feature in PT on excision compared to others, such as lesion circumscription and stromal cellularity. Recognition and careful counting of mitotic rate, especially with intracanalicular patterns in growing FAs, can potentially prevent missing a PT on CNB. In patients with "growing FAs" who are ≥40 years of age, excision may be recommended due to the high likelihood of PT diagnosis on excision and high false negative rate on CNB.

Identifiants

pubmed: 36527840
pii: S1092-9134(22)00171-X
doi: 10.1016/j.anndiagpath.2022.152069
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

152069

Informations de copyright

Copyright © 2022 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest All authors declare no conflict of interest. Author SH is cofounder of CloudPath Diagnostics LLC, New York. Part of this study has been accepted for abstract presentation at the USCAP 2020 Annual Meeting.

Auteurs

Gahie Nam (G)

Department of Pathology and Laboratory Medicine, Rhode Island Hospital and Warren Alpert Medical School of Brown University, Providence, RI, United States of America.

Linda Donegan (L)

Department of Diagnostic Radiology, Rhode Island Hospital and Alpert Medical School of Brown University, Providence, RI, United States of America.

Mikhail Gorbounov (M)

Department of Pathology and Laboratory Medicine, Rhode Island Hospital and Warren Alpert Medical School of Brown University, Providence, RI, United States of America.

Sean Hacking (S)

Department of Pathology and Laboratory Medicine, Rhode Island Hospital and Warren Alpert Medical School of Brown University, Providence, RI, United States of America.

Doreen Wiggins (D)

Department of Surgery, Rhode Island Hospital and Alpert Medical School of Brown University, Providence, RI, United States of America.

Robert Ward (R)

Department of Diagnostic Radiology, Rhode Island Hospital and Alpert Medical School of Brown University, Providence, RI, United States of America.

Evgeny Yakirevich (E)

Department of Pathology and Laboratory Medicine, Rhode Island Hospital and Warren Alpert Medical School of Brown University, Providence, RI, United States of America.

Yihong Wang (Y)

Department of Pathology and Laboratory Medicine, Rhode Island Hospital and Warren Alpert Medical School of Brown University, Providence, RI, United States of America. Electronic address: ywang6@lifespan.org.

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