Added value of arterial enhancement fraction derived from dual-energy computed tomography for preoperative diagnosis of cervical lymph node metastasis in papillary thyroid cancer: initial results

被引:7
作者
Zhou, Yan [1 ]
Xu, Yong-Kang [1 ]
Geng, Di [1 ]
Wang, Jing-Wei [1 ]
Chen, Xing-Biao [2 ]
Si, Yan [3 ]
Shen, Mei-Ping [3 ]
Su, Guo-Yi [1 ]
Xu, Xiao-Quan [1 ]
Wu, Fei-Yun [1 ]
机构
[1] Nanjing Med Univ, Affiliated Hosp 1, Dept Radiol, 300 Guangzhou Rd, Nanjing, Peoples R China
[2] Philips Healthcare Ltd, Sect Clin Res, Shanghai, Peoples R China
[3] Nanjing Med Univ, Affiliated Hosp 1, Dept Thyroid Surg, Nanjing, Peoples R China
基金
中国国家自然科学基金;
关键词
Thyroid cancer; papillary; Lymph nodes; Lymphatic metastasis; Tomography; x-ray computed; Logistic models; LOGISTIC-REGRESSION; LUNG-CANCER; CT; LIVER; INSIGHTS;
D O I
10.1007/s00330-023-10109-0
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Objectives To explore the added value of arterial enhancement fraction (AEF) derived from dual-energy computed tomography CT (DECT) to conventional image features for diagnosing cervical lymph node (LN) metastasis in papillary thyroid cancer (PTC). Methods A total of 273 cervical LNs (153 non-metastatic and 120 metastatic) were recruited from 92 patients with PTC. Qualitative image features of LNs were assessed. Both single-energy CT (SECT)-derived AEF (AEFS) and DECT-derived AEF (AEFD) were calculated. Correlation between AEF(D) and AEF(S) was determined using Pearson's correlation coefficient. Multivariate logistic regression analysis with the forward variable selection method was used to build three models (conventional features, conventional features +AEFS, and conventional features +AEF(D)). Diagnostic performances were evaluated using receiver operating characteristic (ROC) curve analyses. Results Abnormal enhancement, calcification, and cystic change were chosen to build model 1 and the model provided moderate diagnostic performance with an area under the ROC curve (AUC) of 0.675. Metastatic LNs demonstrated both significantly higher AEF(D) (1.14 vs 0.48; p < 0.001) and AEF(S) (1.08 vs 0.38; p < 0.001) than non-metastatic LNs. AEF(D) correlated well with AEF(S) (r = 0.802; p < 0.001), and exhibited comparable performance with AEFS (AUC, 0.867 vs 0.852; p = 0.628). Combining CT image features with AEF(S) (model 2) and AEF(D) (model 3) could significantly improve diagnostic performances (AUC, 0.865 vs 0.675; AUC, 0.883 vs 0.675; both p < 0.001). Conclusions AEF(D) correlated well with AEF(S), and exhibited comparable performance with AEF(S). Integrating qualitative CT image features with both AEF(S) and AEF(D) could further improve the ability in diagnosing cervical LN metastasis in PTC. Clinical relevance statement Arterial enhancement fraction (AEF) values, especially AEF derived from dual-energy computed tomography, can help to diagnose cervical lymph node metastasis in patients with papillary thyroid cancer, and complement conventional CT image features for improved clinical decision making.
引用
收藏
页码:1292 / 1301
页数:10
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