Evidence map›Paper›PMID 41595189›Full record

ArticleCancers2026

Tumor Growth Rate Predicts Pathological Outcomes in Breast Fibroepithelial Tumors: A Pilot Study and Review of Literature.

Hisham F Bahmad, Adriana Falcon, Abdallah Araji, Karem Gharzeddine, Youley Tjendra, Elena F Brachtel, Natalie Pula, Nicole Brofman, Merce Jorda, Carmen Gomez-Fernández

Abstract read
In one paragraph

Article in Cancers, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Hisham F BahmadDepartment of Pathology and Laboratory Medicine, University of Miami Miller School of Medicine, Miami, FL 33136, USA.ORCID 0000-0003-3799-2595
Adriana FalconDepartment of Radiology, University of Miami Miller School of Medicine, Miami, FL 33136, USA.ORCID 0009-0003-3521-6418
Abdallah ArajiDepartment of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA.
Karem GharzeddineDepartment of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA.
Youley TjendraDepartment of Pathology and Laboratory Medicine, University of Miami Miller School of Medicine, Miami, FL 33136, USA.ORCID 0000-0002-8665-312X
Elena F BrachtelDepartment of Pathology and Laboratory Medicine, University of Miami Miller School of Medicine, Miami, FL 33136, USA.
Natalie PulaDepartment of Pathology and Laboratory Medicine, University of Miami Miller School of Medicine, Miami, FL 33136, USA.ORCID 0009-0009-0355-6462
Nicole BrofmanDepartment of Radiology, University of Miami Miller School of Medicine, Miami, FL 33136, USA.
Merce JordaDepartment of Pathology and Laboratory Medicine, University of Miami Miller School of Medicine, Miami, FL 33136, USA.
Carmen Gomez-FernándezDepartment of Pathology and Laboratory Medicine, University of Miami Miller School of Medicine, Miami, FL 33136, USA.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748University of Miami Health System Gomez 2025
6 · The paper itself

Abstract

BACKGROUND/

objectivesFibroepithelial tumors (FETs) of the breast, including fibroadenomas (FAs) and phyllodes tumors (PTs), are among the most common breast masses encountered by breast radiologists and pathologists. Differentiating FAs from benign or borderline PTs can be challenging, especially on core biopsy specimens where sampling limitations obscure key histologic features. Although imaging techniques provide useful diagnostic context, their predictive accuracy for pathologic classification remains limited.

methodsWe conducted a single-institution pilot study to assess whether tumor growth rate (TGR) derived from serial imaging could serve as a noninvasive correlate of histopathologic outcomes in FETs. Thirty-two patients with serial imaging and subsequent surgical excision (January 2020-May 2025) were analyzed. TGR, expressed as percentage volume increase per month, was calculated from diameter-based volumetrics.

resultsThe cohort included conventional FA (

conclusionsAs a pilot, this study establishes foundational variance and effect-size estimates for powering a multicenter trial. If validated, TGR may provide an objective, noninvasive metric to enhance preoperative risk stratification and guide management of breast FETs.

Indexed as

breast pathologydiagnostic imagingfibroadenomafibroepithelial tumorsphyllodes tumortumor growth rate

Identifiers

PMID41595189
PMCPMC12839360

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.