Radiomics in Differentiated Thyroid Cancer and Nodules: Explorations, Application, and Limitations.
Radiomics in Differentiated Thyroid Cancer and Nodules: Explorations, Application, and Limitations.
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分化型甲状腺癌和结节的放射组学：探索、应用和局限性。
DOI：
10.3390/cancers13102436
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发表时间：
2021-05-18
期刊：
影响因子：
5.2
通讯作者：
Jia Z
中科院分区：
文献类型：
--
作者：
Cao Y;Zhong X;Diao W;Mu J;Cheng Y;Jia Z
分化型甲状腺癌（DTC）是最常见的内分泌恶性肿瘤，女性发病率较高。 COVID-19 疫情增加了治疗延误的风险，导致 DTC 发病率和死亡率增加。包括超声（US）、磁共振成像（MRI）和计算机断层扫描（CT）在内的多种成像技术已应用于 DTC 的早期筛查和诊断。然而，由于依赖放射科医生的经验和技能，这些传统方法的敏感性和特异性有限。放射组学是一种新兴技术，可以从单张或多张医学图像中定量提取肉眼无法直接观察到的高通量特征，然后应用于机器学习方法来构建分类或预测模型。该方法使得能够以更客观的方式评估肿瘤状态并区分恶性与良性肿瘤或结节。迄今为止，放射组学对 DTC 患者的分类和预测价值并不一致。在此，我们总结了有关基于放射组学的 DTC 在各种成像技术中的分类和预测性能的现有文献。更具体地说，我们回顾了最近的文献，讨论了放射组学预测淋巴结（LN）转移、远处转移、肿瘤甲状腺外扩展、无病生存和 B-Raf 原癌基因丝氨酸/苏氨酸激酶（BRAF）突变以及区分良恶性结节的能力。本综述讨论了放射组学过程的应用和局限性，并探讨了其改善临床决策的能力，希望强调其对 DTC 患者的实用性。
Differentiated thyroid cancer (DTC) is the most common endocrine malignancy with a high incidence rate in females. The COVID-19 epidemic posed an increased risk of treatment delay causing increased DTC morbidity and mortality rate of DTC. Several imaging techniques, including ultrasound (US), magnetic resonance imaging (MRI), and computer tomography (CT), have been applied in the early screening and diagnosis of DTC. However, these traditional methods have limited sensitivity and specificity due to dependence on the experience and skill of the radiologists. Radiomics is an emerging technique that allows the quantitative extraction of high-throughput features from single or multiple medical images, which cannot be observed directly with the naked eye, and then applies to machine learning approaches to construct classification or prediction models. This method makes it possible to evaluate tumor status and to differentiate malignant from benign tumors or nodules in a more objective manner. To date, the classification and prediction value of radiomics in DTC patients have been inconsistent. Herein, we summarize the available literature on the classification and prediction performance of radiomics-based DTC in various imaging techniques. More specifically, we reviewed the recent literature to discuss the capacity of radiomics to predict lymph node (LN) metastasis, distant metastasis, tumor extrathyroidal extension, disease-free survival, and B-Raf proto-oncogene serine/threonine kinase (BRAF) mutation and differentiate malignant from benign nodules. This review discusses the application and limitations of the radiomics process, and explores its ability to improve clinical decision-making with the hope of emphasizing its utility for DTC patients.
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DOI：
10.1111/j.1365-2362.2009.02162.x
发表时间：
2009-08-01
影响因子：
5.5
作者：
Guth, S.;Theune, U.;Bamberger, C. M.
通讯作者：
Bamberger, C. M.
影响因子：
1.6
作者：
Gao, Luying;Lin, Yansong;Zhang, Bo
通讯作者：
Zhang, Bo
影响因子：
2.6
作者：
Ito, Y;Tomoda, C;Miyauchi, A
通讯作者：
Miyauchi, A
影响因子：
9
作者：
Hartl, Dana M.;Leboulleux, Sophie;Travagli, Jean-Paul
通讯作者：
Travagli, Jean-Paul
影响因子：
4.4
作者：
Erdem, Gulnur;Erdem, Tamer;Alkan, Alpay
通讯作者：
Alkan, Alpay