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超声模式和临床参数是否能为细胞学不确定的结节中分子检测预测的甲状腺癌概率提供信息?

Do Ultrasound Patterns and Clinical Parameters Inform the Probability of Thyroid Cancer Predicted by Molecular Testing in Nodules with Indeterminate Cytology?

机构信息

Diabetes & Endocrine Care, St. Peter's Health Partners/Trinity Health, Rensselaer, New York, USA.

Biostatistics Facility, UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania, USA.

出版信息

Thyroid. 2021 Nov;31(11):1673-1682. doi: 10.1089/thy.2021.0119. Epub 2021 Sep 1.

Abstract

Molecular testing (MT) is commonly used to refine cancer probability in thyroid nodules with indeterminate cytology. Whether or not ultrasound (US) patterns and clinical parameters can further inform the risk of thyroid cancer in nodules predicted to be positive or negative by MT remains unknown. The aim of this study was to test if clinical parameters, including patient age, sex, nodule size (by US), Bethesda category (III, IV, V), US pattern (American Thyroid Association [ATA] vs. American College of Radiology Thyroid Image Reporting and Data System [TI-RADS] systems), radiation exposure, or family history of thyroid cancer can modify the probability of thyroid cancer or noninvasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTP) predicted by MT. We studied 257 thyroid nodules in 232 patients from 10 study centers with indeterminate fine needle aspiration cytology and informative MT results using the ThyroSeq v3 genomic classifier (TSv3). Univariate and multivariate logistic regression was used for data analysis. The presence of cancer/NIFTP was associated with positive TSv3 results (odds ratio 61.39,  < 0.0001). On univariate regression, patient sex, age, and Bethesda category were associated with cancer/NIFTP probability ( < 0.05 for each). Although ATA ( = 0.1211) and TI-RADS ( = 0.1359) US categories demonstrated positive trends, neither was significantly associated with cancer/NIFTP probability. A multivariate regression model incorporating the four most informative non-MT covariates (sex, age, Bethesda category, and ATA US pattern; Model No. 1) yielded a C index of 0.653;  = 0.108. When TSv3 was added to Model number 1, the C index increased to 0.888;  = 0.572. However, age ( = 0.341), Bethesda category ( = 0.272), and ATA US pattern ( = 0.264) were nonsignificant, and other than TSv3 ( < 0.0001), male sex was the only non-MT parameter that potentially contributed to cancer/NIFTP risk ( = 0.095). The simplest and most efficient clinical model (No. 3) incorporated TSv3 and sex (C index = 0.889;  = 0.588). In this multicenter study of thyroid nodules with indeterminate cytology and MT, neither the ATA nor TI-RADS US scoring systems further informed the risk of cancer/NIFTP beyond that predicted by TSv3. Although age and Bethesda category were associated with cancer/NIFTP probability on univariate analysis, in sequential nomograms they provided limited incremental value above the high predictive ability of TSv3. Patient sex may contribute to cancer/NIFTP risk in thyroid nodules with indeterminate cytology.

摘要

分子检测(MT)常用于细化具有不确定细胞学的甲状腺结节的癌症概率。在 MT 预测为阳性或阴性的结节中,超声(US)模式和临床参数是否可以进一步告知甲状腺癌的风险仍然未知。本研究的目的是测试临床参数,包括患者年龄、性别、结节大小(通过 US)、Bethesda 类别(III、IV、V)、US 模式(美国甲状腺协会 [ATA] 与美国放射学院甲状腺图像报告和数据系统 [TI-RADS] 系统)、辐射暴露或甲状腺癌家族史是否可以改变 MT 预测的甲状腺癌或无侵袭性滤泡性甲状腺肿瘤伴乳头状核特征(NIFTP)的概率。我们研究了来自 10 个研究中心的 232 名患者的 257 个具有不确定细针抽吸细胞学和信息丰富的 MT 结果的甲状腺结节,使用 ThyroSeq v3 基因组分类器(TSv3)。使用单变量和多变量逻辑回归进行数据分析。癌症/NIFTP 的存在与阳性 TSV3 结果相关(优势比 61.39,<0.0001)。在单变量回归中,患者性别、年龄和 Bethesda 类别与癌症/NIFTP 概率相关(<0.05)。尽管 ATA(=0.1211)和 TI-RADS(=0.1359)US 类别显示出阳性趋势,但均与癌症/NIFTP 概率无显著相关性。纳入四个最具信息量的非 MT 协变量(性别、年龄、Bethesda 类别和 ATA US 模式;模型 1)的多变量回归模型产生了 0.653 的 C 指数;=0.108。当将 TSV3 添加到模型 1 中时,C 指数增加到 0.888;=0.572。然而,年龄(=0.341)、Bethesda 类别(=0.272)和 ATA US 模式(=0.264)并不显著,除了 TSV3(<0.0001)外,男性性别是唯一可能增加癌症/NIFTP 风险的非 MT 参数(=0.095)。最简单和最有效的临床模型(No.3)纳入了 TSV3 和性别(C 指数=0.889;=0.588)。在这项具有不确定细胞学和 MT 的甲状腺结节的多中心研究中,ATA 或 TI-RADS US 评分系统并未提供比 TSV3 预测的癌症/NIFTP 风险更深入的信息。尽管年龄和 Bethesda 类别在单变量分析中与癌症/NIFTP 概率相关,但在顺序列线图中,它们在 TSV3 高预测能力之上提供的增量价值有限。患者性别可能会增加具有不确定细胞学的甲状腺结节中癌症/NIFTP 的风险。

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