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多模态影像学特征联合预测脉络膜黑色素瘤向黑色素瘤的转化。

Combination of multimodal imaging features predictive of choroidal nevus transformation into melanoma.

机构信息

Ocular Oncology Service, Wills Eye Hospital, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.

Department of Ophthalmology, Mayo Clinic, Rochester, Minnesota, USA.

出版信息

Br J Ophthalmol. 2019 Oct;103(10):1441-1447. doi: 10.1136/bjophthalmol-2018-312967. Epub 2018 Dec 6.

Abstract

AIM

To characterise combinations of multimodal imaging risk factors and predictive value for choroidal nevus transformation into melanoma.

METHODS

This is a retrospective review of multimodal imaging features for 3806 choroidal nevi from 1 January 2007 through 1 January 2017. Kaplan-Meier estimates and Cox regression analyses were used to calculate 5-year percentages of growth to melanoma and HR.

RESULTS

Using multimodal imaging, six risk factors predictive of choroidal nevus transformation into melanoma were identified, namely tumour thickness >2 mm, subretinal fluid, symptoms of visual acuity loss to 20/50 or worse, orange pigment, hollow acoustic density and tumour largest basal diameter >5 mm. Kaplan-Meier 5-year estimated tumour growth was found in 1% of nevi with no risk factors, 11% (range 9%-37%) with one factor, 22% (12%-68%) with two factors, 34% (21%-100%) with three factors, 51% (0%-100%) with four factors and 55% (0%-100%) with five factors. HR for growth was 0.1 with no factor, 2.1-7.8 with one factor, 1.8-12.1 with two factors, 4.0-24.4 with three factors, 4.6-170.0 with four factors and 12.0-595.0 with five factors. The highest HR with each combination of two, three, four or five risk factors always included symptoms of visual acuity loss and orange pigment.

CONCLUSION

Six risk factors for choroidal nevus transformation into melanoma by multimodal imaging have been identified. Risk for transformation into melanoma is 1% when no factors are present, and approaches 100% with specific combinations of three or more risk factors. Understanding how combinations of factors influence risk of transformation into melanoma can guide counselling and treatment decisions.

摘要

目的

描述多模态影像学风险因素的组合及其对脉络膜黑色素瘤转化为黑色素瘤的预测价值。

方法

这是一项对 2007 年 1 月 1 日至 2017 年 1 月 1 日期间的 3806 个脉络膜黑色素瘤的多模态影像学特征的回顾性研究。使用 Kaplan-Meier 估计和 Cox 回归分析计算 5 年黑色素瘤生长的百分比和 HR。

结果

使用多模态成像,确定了 6 个预测脉络膜黑色素瘤转化为黑色素瘤的风险因素,即肿瘤厚度>2mm、视网膜下积液、视力丧失至 20/50 或更差的症状、橙色色素、空洞性声衰减密度和肿瘤最大基底直径>5mm。Kaplan-Meier 5 年估计肿瘤生长率为无风险因素的 1%(范围 0%-100%),5 个因素的 55%(0%-100%)。生长的 HR 为无因素时为 0.1,有一个因素时为 2.1-7.8,有两个因素时为 1.8-12.1,有三个因素时为 4.0-24.4,有四个因素时为 4.6-170.0,有五个因素时为 12.0-595.0。每个有两个、三个、四个或五个风险因素的组合中,生长的 HR 最高总是包括视力丧失和橙色色素的症状。

结论

通过多模态成像确定了 6 个脉络膜黑色素瘤转化为黑色素瘤的风险因素。当没有因素存在时,转化为黑色素瘤的风险为 1%,而当存在三个或更多特定风险因素组合时,风险接近 100%。了解因素组合如何影响黑色素瘤转化的风险可以指导咨询和治疗决策。

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