Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Currently University of Indiana, Indianapolis, IN, USA.
Breast Cancer Res Treat. 2024 Oct;207(3):561-568. doi: 10.1007/s10549-024-07378-8. Epub 2024 Jun 8.
Surgical excision is often performed to exclude phyllodes tumor (PT) when Core Needle Biopsy (CNB) of the breast returns fibroepithelial lesion-not further characterized (FEL-NFC). If imaging or CNB pathology features can be identified that predict a very low probability of borderline/malignant PT, thousands of women could be spared the expense and morbidity of surgical excisions.
This retrospective cohort study includes 180 FEL-NFC from 164 patients who underwent surgical excisional biopsy.
The upgrade rate from FEL-NFC to benign PT was 15%, and to borderline/malignant PT 7%. Imaging features predicting upgrade to borderline/malignant PT included greater size (p = 0.0002) and heterogeneous echo pattern on sonography (p = 0.117). Histologic features of CNB predicting upgrade to borderline/malignant PT included "pathologist favors PT" (p = 0.012), mitoses (p = 0.014), stromal overgrowth (p = 0.006), increased cellularity (p = 0.0001) and leaf-like architecture (p = 0.077). A three-component score including size > 4.5 cm (Size), heterogeneous echo pattern on sonography (Heterogeneity), and stromal overgrowth on CNB (Overgrowth) maximized the product of sensitivity x specificity for the prediction of borderline/malignant PT. When the SHO score was 0 (72% of FEL-NFC) the probability of borderline/malignant PT on excision was only 1%.
The combination of size ≤ 4.5 cm, homogeneous echo pattern, and absence of stromal overgrowth is highly predictive of a benign excision potentially sparing most patients diagnosed with FEL-NFC the expense and morbidity of a surgical excision.
当乳腺的核心针活检(CNB)返回纤维上皮病变-未进一步特征化(FEL-NFC)时,常进行外科切除以排除叶状肿瘤(PT)。如果可以识别出能够预测边界/恶性 PT 极低可能性的影像学或 CNB 病理学特征,那么成千上万的女性可以避免外科切除的费用和发病率。
本回顾性队列研究纳入了 164 例接受外科切除活检的 180 例 FEL-NFC 患者。
从 FEL-NFC 升级为良性 PT 的比例为 15%,升级为边界/恶性 PT 的比例为 7%。预测升级为边界/恶性 PT 的影像学特征包括更大的大小(p=0.0002)和超声不均匀回声模式(p=0.117)。预测升级为边界/恶性 PT 的 CNB 组织学特征包括“病理学家倾向于 PT”(p=0.012)、有丝分裂(p=0.014)、间质过度生长(p=0.006)、细胞增多(p=0.0001)和叶状结构(p=0.077)。包括大小>4.5cm(大小)、超声不均匀回声模式(异质性)和 CNB 间质过度生长(过度生长)的三组分评分最大程度地提高了预测边界/恶性 PT 的敏感性 x 特异性的乘积。当 SHO 评分为 0(72%的 FEL-NFC)时,切除的边界/恶性 PT 概率仅为 1%。
大小≤4.5cm、均匀回声模式和不存在间质过度生长的组合高度预测良性切除,可能使大多数诊断为 FEL-NFC 的患者避免外科切除的费用和发病率。