Utility of the Singapore recurrence nomogram in a US cohort with a higher proportion of borderline and malignant phyllodes tumours.

IF 2 4区 医学 Q2 PATHOLOGY
Ellery H Reason, Samantha M Thomas, Jennifer K Plichta, Astrid M Botty van den Bruele, E Shelley Hwang, Betty C Tong, Nicole A Larrier, Rachel E Factor, Juneko E Grilley-Olson, Laura H Rosenberger
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引用次数: 0

Abstract

Aims: For phyllodes tumours (PT), local and distant recurrence rates increase with higher grades and are difficult to predict. The Singapore nomogram has been used to predict recurrence events for PT. We aimed to test this nomogram for accuracy in a US cohort and to compare with a histological score.

Methods: Patients with PT were selected from a prospective institutional database. Histological parameters and margin status were used to estimate the nomogram score and the histological score, as previously defined. Multivariable analyses were used to estimate the association of recurrence-free survival (RFS) with individual factors, nomogram score and histological score. Harrel's C-index was estimated.

Results: Of 81 PT cases, 25.9% were benign, 40.7% borderline and 33.3% malignant. Recurrences occurred in 33.3% (n=27). The adjusted RFS analysis including the four factors used in the Singapore nomogram performed well (C-index of 0.78). However, despite a higher nomogram score being associated with increased risk of recurrence (HR 1.03, 1.01-1.05, p=0.007), the individual numeric scale defined in the nomogram only moderately fit our data (C-index of 0.66). Patients with higher histological scores also had an increased risk of recurrence (HR 1.25, 1.07-1.47, p=0.005; C-index of 0.70).

Conclusion: Histological score more accurately predicted PT recurrence in our cohort, which includes a higher proportion of higher-grade PT. Refining the nomogram to include factors specific to malignant PT and factors with more variance, as well as refining the assigned weights, may result in improved performance. This study identifies an opportunity for international collaboration to refine the predictive model.

新加坡复发曲线图在交界性和恶性叶状肿瘤比例较高的美国队列中的应用。
目的:对于叶状肿瘤(PT),局部和远处复发率随着级别的增加而增加,并且难以预测。新加坡图已被用于预测PT的复发事件。我们的目的是在美国队列中测试该图的准确性,并与组织学评分进行比较。方法:从前瞻性机构数据库中选择PT患者。组织学参数和切缘状态被用来估计nomogram评分和组织学评分,如前所述。采用多变量分析来估计无复发生存(RFS)与个体因素、nomogram评分和组织学评分之间的关系。估计了Harrel的c指数。结果:81例PT中,良性25.9%,交界性40.7%,恶性33.3%。复发率为33.3% (n=27)。校正后的RFS分析包括新加坡nomogram中使用的四个因素表现良好(C-index为0.78)。然而,尽管较高的nomogram评分与复发风险增加相关(HR 1.03, 1.01-1.05, p=0.007),但nomogram定义的个体数值量表仅与我们的数据适度吻合(C-index为0.66)。组织学评分越高的患者复发风险也越高(HR 1.25, 1.07-1.47, p=0.005; c指数为0.70)。结论:组织学评分更准确地预测了我们的队列中PT的复发,其中包括更高级别PT的比例。细化nomogram以包括恶性PT的特异性因素和方差更大的因素,并细化分配的权重,可能会提高疗效。这项研究为完善预测模型提供了国际合作的机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.80
自引率
2.90%
发文量
113
审稿时长
3-8 weeks
期刊介绍: Journal of Clinical Pathology is a leading international journal covering all aspects of pathology. Diagnostic and research areas covered include histopathology, virology, haematology, microbiology, cytopathology, chemical pathology, molecular pathology, forensic pathology, dermatopathology, neuropathology and immunopathology. Each issue contains Reviews, Original articles, Short reports, Correspondence and more.
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