ArticleQuantitative imaging in medicine and surgery2026
Diagnostic value of a multiparametric magnetic resonance imaging-based nomogram incorporating apparent diffusion coefficient in preoperative differentiation of phyllodes tumors from breast cancer: a retrospective study.
Article in Quantitative imaging in medicine and surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Preoperative differentiation between phyllodes tumors (PTs) and breast cancers (BCs) remains a clinical challenge due to their overlapping imaging characteristics. The aim of this study was to evaluate the diagnostic performance of multiparametric magnetic resonance imaging (MRI), incorporating morphological, hemodynamic, and apparent diffusion coefficient (ADC) parameters, to develop a nomogram model for differentiating PTs from BCs, and to preliminarily explore the association between ADC parameters and the histologic grade of PTs. Methods: A total of 92 patients (mean age, 46.04 years) with pathologically confirmed PTs (n=31) or BCs (n=61) who underwent 3.0 Tesla (T) breast MRI at the First Affiliated Hospital of Soochow University between June 2018 and June 2025 were retrospectively enrolled. Multiparametric MRI features, including morphological characteristics, hemodynamic parameters, and quantitative diffusion metrics [mean ADC (ADC Results: PTs were characterized predominantly by a lobulated morphology, hyperintensity on T2-weighted imaging (T2WI), and T2 hypointense septations, whereas BCs typically presented as irregular masses with spiculated margins and peritumoral edema. Regarding dynamic contrast-enhanced MRI (DCE-MRI) features, PTs predominantly demonstrated rapid initial enhancement with heterogeneous or dark internal septations, and time-intensity curves (TICs) mainly exhibited Type I/II patterns. PTs demonstrated significantly higher ADC Conclusions: Multiparametric MRI provides significant diagnostic value in preoperatively differentiating PTs from BCs. Although the subgroup analysis regarding PT histological grading remains preliminary due to limited sample sizes, both ADC
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