弥散张量成像在区分良性和恶性甲状腺结节中的作用。

IF 1.3 Q4 NEUROIMAGING Neuroradiology Journal Pub Date : 2024-12-01 Epub Date: 2024-06-12 DOI:10.1177/19714009241260807
Ahmed El-Morsy, Ali H Elmokadem, Ahmed Abdel Razek, Amany Ezzat Mousa, Amal Abdelsattar Sakrana, Rihame M Abdel-Wahab
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引用次数: 0

摘要

目的:评估弥散张量成像(DTI)在区分良性和恶性甲状腺结节方面的作用。方法:对 55 例接受过 DTI 检查的甲状腺结节患者进行回顾性分析:对 55 名接受过 DTI 检查的甲状腺结节患者进行回顾性分析。甲状腺结节的各向异性分数(FA)和平均扩散率(MD)由两名观察者使用感兴趣区(ROI)进行测量。病理检查证明,最终诊断为恶性和良性。结果经两名观察者评分,良性甲状腺结节的平均 MD 值(1.84 ± 0.42 和 1.90 ± 0.37 × 10-3mm2/s)明显高于恶性结节(0.95 ± 0.46 和 0.97 ± 0.41 × 10-3mm2/s)(p < .001)。用 1.45 和 1.50 × 10-3mm2/s 的临界值区分恶性和良性甲状腺结节的曲线下面积(AUC)分别为 0.926 和 0.937。良性甲状腺结节的平均 FA 值(0.23 ± 0.07 和 0.24 ± 0.08)明显低于恶性结节(0.48 ± 0.21 和 0.49 ± 0.18)(p < .001)。FA 临界值≤0.32 和 0.33 用于区分恶性和良性甲状腺结节,AUC 分别为 0.877 和 0.881。MD和FA值的组合用于区分良性和恶性甲状腺结节,AUC为0.932,准确率为87%。两位观察者的 FA 值和 MD 值的一致性非常好(K = 0.939,0.929)。结论:DTI 是一种无创、无对比的成像工具,可以区分良性和恶性甲状腺结节。
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Utility of diffusion tensor imaging in differentiating benign from malignant thyroid nodules.

Purpose: To assess diffusion tensor imaging (DTI) in differentiating benign from malignant thyroid nodules. Methods: A retrospective analysis was done on 55 patients with thyroid nodules who had undergone DTI. The fraction anisotropy (FA) and mean diffusivity (MD) of the thyroid nodules were measured using region of interest (ROI) by two observers. The final diagnosis was malignant and benign, as proved by pathological examination. Results: The mean MD of benign thyroid nodules (1.84 ± 0.42 and 1.90 ± 0.37 × 10-3mm2/s) was significantly higher (p < .001) than malignant nodules (0.95 ± 0.46 and 0.97 ± 0.41 × 10-3mm2/s) as scored by both observers. The cut-off values of 1.45 and 1.50 × 10-3mm2/s were used to differentiate malignant from benign thyroid nodules with the areas under the curve (AUC) of 0.926 and 0.937, respectively. The mean FA of benign thyroid nodules (0.23 ± 0.07 and 0.24 ± 0.08) was significantly lower (p < .001) than malignant nodules (0.48 ± 0.21 and 0.49 ± 0.18). The FA cut-off value of ≤0.32 and 0.33 was used for differentiating malignant from benign thyroid nodules with an AUC of 0.877 and 0.881, respectively. A combination of MD and FA values was used to differentiate benign from malignant thyroid nodules with an AUC of 0.932 and an accuracy of 87%. There was an excellent agreement between both observers for FA and MD (K = 0.939, 0.929). Conclusion: The DTI is a non-invasive, non-contrast imaging tool that can differentiate benign from malignant thyroid nodules.

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来源期刊
Neuroradiology Journal
Neuroradiology Journal NEUROIMAGING-
CiteScore
2.50
自引率
0.00%
发文量
101
期刊介绍: NRJ - The Neuroradiology Journal (formerly Rivista di Neuroradiologia) is the official journal of the Italian Association of Neuroradiology and of the several Scientific Societies from all over the world. Founded in 1988 as Rivista di Neuroradiologia, of June 2006 evolved in NRJ - The Neuroradiology Journal. It is published bimonthly.
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