高级检索
当前位置: 首页 > 详情页

Dual-energy computed tomography could reliably differentiate metastatic from non-metastatic lymph nodes of less than 0.5 cm in patients with papillary thyroid carcinoma

文献详情

资源类型:
WOS体系:

收录情况: ◇ SCIE

单位: [1]Radiological Department, First Central Clinical College, Tianjin Medical University, Tianjin, China [2]Radiological Department, First TeachingHospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China [3]Radiological Department, Third Central Hospital of Tianjin, Tianjin,China [4]Department of Radiology, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China [5]Radiological Department,Tianjin Hospital of ITCWM Nankai Hospital, Tianjin, China [6]Radiological Department, China-Japan Friendship Hospital, Beijing, China
出处:
ISSN:

关键词: Papillary thyroid carcinoma (PTC) lymph nodes (LNs) metastasis dual-energy computed tomography (DECT) iodine concentration (IC)

摘要:
Background: Dual-energy computed tomography (DECT) has been widely applied to detect lymph node (LN) and lymph node metastasis (LNM) in various cancers, including papillary thyroid carcinoma (PTC). This study aimed to quantitatively evaluate metastatic cervical lymph nodes (LNs) <0.5 cm in patients with PTC using DECT, which has not been done in previous studies. Methods: Preoperative DECT data of patients with pathologically confirmed PTC were retrospectively collected and analyzed between May 2016 and June 2018. A total of 359 LNs from 52 patients were included. Diameter, iodine concentration (IC), normalized iodine concentration (NIC), and the slope of the energy spectrum curve (lambda HU) of LNs in the arterial and the venous phases were compared between metastatic and non metastatic LNs. The optimal parameters were obtained from the receiver operating characteristic (ROC) curves. The generalized estimation equation (GEE) model was used to evaluate independent diagnostic factors for LNM. Results: A total of 139 metastatic and 220 non-metastatic LNs were analyzed. There were statistical differences of quantitative parameters between the two groups (P value 0.000-0.007). The optimal parameter for diagnosing LNM was IC in the arterial phase, and its area under the curve (AUC), sensitivity, and specificity were 0.775, 71.9%, and 73.6%, respectively. When the three parameters of diameter, IC in the arterial phase, and NIC in the venous phase were combined, the prediction efficiency was better, and the AUC was 0.819. The GEE results showed that LNs located in level VIa [odds ratio (OR) 2.030, 95% confidence interval (CI): 1.134-3.634, P=0.017], VIb (OR 2.836, 95% CI: 1.597-5.038, P=0.000), diameter (OR 2.023, 95% CI: 1.158-3.532, P=0.013), IC in the arterial phase (OR 4.444, 95% CI: 2.808-7.035, P=0.000), and IC in the venous phase (OR 5.387, 95% CI: 3.449-8.413, P=0.000) were independent risk factors for LNM in patients with PTC. Conclusions: DECT had good diagnostic performance in the differentiation of cervical metastatic LNs <0.5 cm in patients with PTC.

语种:
被引次数:
WOS:
中科院(CAS)分区:
出版当年[2020]版:
大类 | 2 区 医学
小类 | 2 区 核医学
最新[2025]版:
大类 | 3 区 医学
小类 | 3 区 核医学
JCR分区:
出版当年[2019]版:
Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
最新[2023]版:
Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

影响因子: 最新[2023版] 最新五年平均[2021-2025] 出版当年[2019版] 出版当年五年平均[2015-2019] 出版前一年[2018版] 出版后一年[2020版]

第一作者:
第一作者单位: [1]Radiological Department, First Central Clinical College, Tianjin Medical University, Tianjin, China [2]Radiological Department, First TeachingHospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
共同第一作者:
通讯作者:
通讯机构: [4]Department of Radiology, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China [6]Radiological Department, China-Japan Friendship Hospital, Beijing, China [*1]24 Fukang Road, Nankai District, Department of Radiology, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin 300192, China [*2]Yinghuayuan East Street, Chao Yang District, Beijing, China
推荐引用方式(GB/T 7714):
APA:
MLA:

资源点击量:1320 今日访问量:0 总访问量:816 更新日期:2025-04-01 建议使用谷歌、火狐浏览器 常见问题

版权所有:重庆聚合科技有限公司 渝ICP备12007440号-3 地址:重庆市两江新区泰山大道西段8号坤恩国际商务中心16层(401121)