肿瘤体积是分化型小甲状腺癌淋巴血管浸润的预测指标。

Krishna Vikneson, Tariq Haniff, May Thwin, Ahmad Aniss, Alex Papachristos, Mark Sywak, Anthony Glover
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引用次数: 0

摘要

目的:对于小甲状腺癌(≤2cm),肿瘤体积可以比传统的单一直径测量更好地预测由淋巴血管浸润(LVI)定义的侵袭性疾病。我们的目的是研究肿瘤直径、体积和相关LVI之间的关系。方法:对2007 ~ 2016年手术切除的≤2 cm分化型甲状腺癌(DTC)进行分析。体积由病理尺寸用椭球形状公式计算。通过使用侧颈淋巴结转移(N1b)的存在,通过受试者工作特征(ROC)分析建立了“更大体积”截止。进行逻辑回归以比较“较大体积”截止值与预测中传统的直径测量值。结果:研究期间2405例dtc手术治疗,523例符合纳入标准。肿瘤体积与直径的方差随肿瘤大小的增加呈指数增长;直径为10、15和20 mm的肿瘤体积的四分位数范围分别为126、491和1225 mm3。使用体积预测N1b疾病的ROC分析确定了“较大体积”的最佳体积临界值为350 mm3(曲线下面积= 0.59,P = 0.02)。在多变量分析中,“较大体积”的DTC是LVI的独立预测因子(比值比(OR) = 1.7, P = 0.02),而肿瘤直径> 1 cm则不是(OR = 1.5, P = 0.13)。体积> 350mm3、尺寸> 1cm均伴有5个以上淋巴结转移及甲状腺外展。结论:在本研究中,对于≤2cm的小dtc,体积> 350mm3比最大尺寸> 1cm更能预测LVI。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Tumour volume is a predictor of lymphovascular invasion in differentiated small thyroid cancer.

Tumour volume is a predictor of lymphovascular invasion in differentiated small thyroid cancer.

Tumour volume is a predictor of lymphovascular invasion in differentiated small thyroid cancer.

Tumour volume is a predictor of lymphovascular invasion in differentiated small thyroid cancer.

Objectives: For small thyroid cancers (≤2 cm), tumour volume may better predict aggressive disease, defined by lymphovascular invasion (LVI) than a traditional single measurement of diameter. We aimed to investigate the relationship between tumour diameter, volume and associated LVI.

Methods: Differentiated thyroid cancers (DTC) ≤ 2 cm surgically resected between 2007 and 2016 were analysed. Volume was calculated using the formula for an ellipsoid shape from pathological dimensions. A 'larger volume' cut-off was established by receiver operating characteristic (ROC) analysis using the presence of lateral cervical lymph node metastasis (N1b). Logistic regression was performed to compare the 'larger volume' cut-off to traditional measurements of diameter in the prediction.

Results: During the study period, 2405 DTCs were surgically treated and 523 met the inclusion criteria. The variance of tumour volume relative to diameter increased exponentially with increasing tumour size; the interquartile ranges for the volumes of 10, 15 and 20 mm diameter tumours were 126, 491 and 1225 mm3, respectively. ROC analysis using volume to predict N1b disease established an optimal volume cut-off of 350 mm3 (area under curve = 0.59, P = 0.02) as 'larger volume'. 'Larger volume' DTC was an independent predictor for LVI in multivariate analysis (odds ratio (OR) = 1.7, P = 0.02), whereas tumour diameter > 1 cm was not (OR = 1.5, P = 0.13). Both the volume > 350 mm3 and dimension > 1 cm were associated with greater than five lymph node metastasis and extrathyroidal extension.

Conclusion: In this study for small DTCs ≤ 2 cm, the volume of >350 mm3 was a better predictor of LVI than greatest dimension > 1 cm.

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