Tumino Dario, Grani Giorgio, Di Stefano Marta, Di Mauro Maria, Scutari Maria, Rago Teresa, Fugazzola Laura, Castagna Maria Grazia, Maino Fabio
Endocrinology Unit, Department of Clinical and Experimental Medicine, Garibaldi-Nesima Medical Center, University of Catania, Catania, Italy.
Department of Translational and Precision Medicine, Sapienza University of Rome, Rome, Italy.
Front Endocrinol (Lausanne). 2020 Jan 23;10:907. doi: 10.3389/fendo.2019.00907. eCollection 2019.
Management of thyroid nodules in the era of precision medicine is continuously changing. Neck ultrasound plays a pivotal role in the diagnosis and several ultrasound stratification systems have been proposed in order to predict malignancy and help clinicians in therapeutic and follow-up decision. Ultrasound elastosonography is another powerful diagnostic technique and can be an added value to stratify the risk of malignancy of thyroid nodules. Moreover, the development of new techniques in the era of "Deep Learning," has led to a creation of machine-learning algorithms based on ultrasound examinations that showed similar accuracy to that obtained by expert radiologists. Despite new technologies in thyroid imaging, diagnostic surgery in 50-70% of patients with indeterminate cytology is still performed. Molecular tests can increase accuracy in diagnosis when performed on "indeterminate" nodules. However, the more updated tools that can be used to this purpose in order to "rule out" (Afirma GSC) or "rule in" (Thyroseq v3) malignancy, have a main limitation: the high costs. In the last years various image-guided procedures have been proposed as alternative and less invasive approaches to surgery for symptomatic thyroid nodules. These minimally invasive techniques (laser and radio-frequency ablation, high intensity focused ultrasound and percutaneous microwave ablation) results in nodule shrinkage and improvement of local symptoms, with a lower risk of complications and minor costs compared to surgery. Finally, ultrasound-guided ablation therapy was introduced with promising results as a feasible treatment for low-risk papillary thyroid microcarcinoma or cervical lymph node metastases.
精准医学时代甲状腺结节的管理正在不断变化。颈部超声在诊断中起着关键作用,并且已经提出了几种超声分层系统,以预测恶性肿瘤并帮助临床医生进行治疗和随访决策。超声弹性成像技术是另一项强大的诊断技术,可为甲状腺结节恶性风险分层提供附加价值。此外,“深度学习”时代新技术的发展催生了基于超声检查的机器学习算法,其准确性与专家放射科医生相当。尽管甲状腺成像有了新技术,但对于50%-70%细胞学检查结果不确定的患者仍需进行诊断性手术。对“不确定”结节进行分子检测可提高诊断准确性。然而,目前用于“排除”(Afirma GSC)或“确诊”(Thyroseq v3)恶性肿瘤的更新工具存在一个主要局限:成本高昂。近年来,已提出各种图像引导的手术方法,作为有症状甲状腺结节手术的替代且侵入性较小的方法。这些微创技术(激光和射频消融、高强度聚焦超声和经皮微波消融)可使结节缩小并改善局部症状,与手术相比,并发症风险更低且成本更低。最后,超声引导下消融治疗作为低风险甲状腺微小乳头状癌或颈部淋巴结转移的一种可行治疗方法被引入,效果良好。