整合临床、放射组学、BRAFV600E和超声的联合模型,用于区分良性和恶性细胞学(贝塞斯达III期)甲状腺结节:一项双中心回顾性研究。

IF 1.5 3区 医学 Q3 SURGERY Gland surgery Pub Date : 2024-11-30 Epub Date: 2024-11-24 DOI:10.21037/gs-24-310
Lichang Zhong, Lin Shi, Jinyu Lai, Yuhong Hu, Liping Gu
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引用次数: 0

摘要

背景:细针穿刺诊断为Bethesda III型甲状腺结节的治疗存在一定的挑战,迫切需要一种无创、准确的方法来早期识别Bethesda III型结节的良恶性。我们的目标是开发和验证基于术前超声(US)图像和临床特征的临床放射组学nomography,用于预测具有不确定细胞学(Bethesda III)的甲状腺结节的恶性。方法:2017年6月至2022年6月,我们在上海两个不同的医疗中心对274例手术确诊的不确定细胞学(Bethesda III)患者进行了回顾性研究。训练集和内部验证集分别由136例和58例患者组成,均来自上海市第六人民医院。为了方便外部测试,我们又从亭林医院选择了80名患者。利用术前US数据,我们获得了放射学特征的成像标记。在特征选择后,我们建立了一个综合诊断模型来评估Bethesda III良恶性病例的预测价值。系统评估模型的诊断准确性、校准和临床适用性。结果:结果显示,结合US放射组学和临床风险特征的预测模型在区分良恶性不确定甲状腺结节(Bethesda III)方面具有较好的稳定性。在外部测试集中,曲线下面积(AUC)为0.824[95%置信区间(CI): 0.718-0.929],准确率、灵敏度、特异性、精密度和召回率分别为0.775、0.731、0.796、0.633和0.731。结论:一个综合模型,利用美国放射组学和临床风险特征,有效区分良性和恶性不确定甲状腺结节(Bethesda III),从而最大限度地减少不必要的诊断手术和随后的并发症。
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Combined model integrating clinical, radiomics, BRAFV600E and ultrasound for differentiating between benign and malignant indeterminate cytology (Bethesda III) thyroid nodules: a bi-center retrospective study.

Background: The management of thyroid nodules diagnosed as Bethesda III by fine-needle aspiration presents certain challenges, and there is an urgent need for a non-invasive and accurate method for early identification of the benign or malignant nature of Bethesda III nodules. Our objective is to develop and validate a clinical-radiomics nomogram based on preoperative ultrasound (US) images and clinical features, for predicting the malignancy of thyroid nodules with indeterminate cytology (Bethesda III).

Methods: Between June 2017 and June 2022, we conducted a retrospective study on 274 patients with surgically confirmed indeterminate cytology (Bethesda III) across two separate medical centers in Shanghai. The training and internal validation sets were comprised of 136 and 58 patients, respectively, all sourced from Shanghai's Sixth People's Hospital. To facilitate external test, a further 80 patients were selected from Tinglin Hospital. Utilizing preoperative US data, we obtained imaging markers for radiomic features. After feature selection, we developed a comprehensive diagnostic model to evaluate the predictive value for Bethesda III benign and malignant cases. The model's diagnostic accuracy, calibration, and clinical applicability were systematically assessed.

Results: The results showed that the prediction model, which integrated US radiomics, and clinical risk features, exhibited superior stability in distinguishing between benign and malignant indeterminate thyroid nodules (Bethesda III). In the external test set, the area under the curve (AUC) was 0.824 [95% confidence interval (CI): 0.718-0.929], and the accuracy, sensitivity, specificity, precision, and recall were 0.775, 0.731, 0.796, 0.633, and 0.731, respectively.

Conclusions: An integrated model, utilizing US radiomics and clinical risk features, effectively discriminates between benign and malignant indeterminate thyroid nodules (Bethesda III), thereby minimizing the need for unnecessary diagnostic surgeries and subsequent complications.

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来源期刊
Gland surgery
Gland surgery Medicine-Surgery
CiteScore
3.60
自引率
0.00%
发文量
113
期刊介绍: Gland Surgery (Gland Surg; GS, Print ISSN 2227-684X; Online ISSN 2227-8575) being indexed by PubMed/PubMed Central, is an open access, peer-review journal launched at May of 2012, published bio-monthly since February 2015.
期刊最新文献
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