scholarly journals A Specific Predicting Model for Screening Skip Metastasis From Patients With Negative Central Lymph Nodes Metastasis in Papillary Thyroid Cancer

2021 ◽  
Vol 12 ◽  
Author(s):  
Zheyu Yang ◽  
Yu Heng ◽  
Qiwu Zhao ◽  
Zichao Cao ◽  
Lei Tao ◽  
...  

Skip metastasis is a specific type of papillary thyroid cancer lymph node metastasis (LNM). The present study aimed to clarify the typical clinical characteristics of skip metastasis and optimize the prediction model, so as to provide a more individual treatment mode for skip metastasis. We retrospectively analyzed 1075 PTC patients with different lymph node metastasis statuses from two clinical centers. Comparisons have been made between patients with skip metastasis and other types of LNM. Univariate and multivariate analyses were performed to detect the risk factors for skip metastasis with negative LNM, and a nomogram for predicting skip metastasis was established. The rate of skip metastasis was 3.4% (37/1075). Compared with other types of LNM, significant differences showed in tumor size, upper portion location, thyroid capsular invasion, and ipsilateral nodular goiter with the central lymph node metastasis (CLNM) group, and in age and gender with the lateral lymph node metastasis (LLNM) group. Four variables were found to be significantly associated with skip metastasis and were used to construct the model: thyroid capsular invasion, multifocality, tumor size > 1 cm, and upper portion. The nomogram had good discrimination with a concordance index of 0.886 (95% confidence interval [CI], 0.823 to 0.948). In conclusion, the significant differences between skip metastasis and other types of LNM indicated that the lymph node drainage pathway of skip metastasis is different from either CLNM or LLNM. Furthermore, we established a nomogram for predicting risk of skip metastasis, which was able to effectively predict the potential risk of skip metastasis in patients without preoperative LNM clue.

Thyroid ◽  
2015 ◽  
Vol 25 (9) ◽  
pp. 1008-1012 ◽  
Author(s):  
Ayham Al Afif ◽  
Blair A. Williams ◽  
Mathew H. Rigby ◽  
Martin J. Bullock ◽  
S. Mark Taylor ◽  
...  

2021 ◽  
Vol 12 ◽  
Author(s):  
Xingchen Li ◽  
Yuansheng Duan ◽  
Dandan Liu ◽  
Hongwei Liu ◽  
Mengqian Zhou ◽  
...  

The Delphian lymph node (DLN), also known as the prelaryngeal node, is one component of the central lymph node. The DLN has been well studied in laryngeal cancer, although its significance in papillary thyroid cancer (PTC) remains unclear. We retrospectively analyzed 936 patients with PTC who underwent thyroidectomy by a single surgeon in Tianjin Cancer Hospital from 2017 to 2019. Moreover, 250 PTC patients who underwent thyroidectomy by another surgeon in Tianjin Cancer Hospital from January 2019 to April 2019 were used as a validation cohort. Among the 936 patients with PTC, 581 patients (62.1%) had DLNs, of which 177 samples with metastasis (177/581, 30.5%) were verified. DLN metastasis was significantly correlated with sex, age, tumor size, bilateral cancer, multifocality, extrathyroidal extension, lymphovascular invasion and central and lateral neck lymph node metastasis. Multivariate analysis revealed that independent risk factors for DLN metastasis included age, gender, tumor size, extrathyroid extension, lymphovascular invasion and central lymph node metastasis, which determined the nomogram. In particular, tumor size was proven to be one of the most predominant single predictors. The diagnostic model had an area under the curve (AUC) of 0.829 (95% confidence interval, 0.804–0.854). The internal and external validations of the nomogram were 0.819 and 0.745, respectively. Our results demonstrate that DLN metastasis appears to be a critical parameter for predicting metastatic disease of the central compartments. Furthermore, this study provides a precise criterion for assessing DLN metastasis and has great clinical significance for treating PTC.


2019 ◽  
Vol 26 (4) ◽  
pp. 461-470 ◽  
Author(s):  
Xuan Su ◽  
Li-Wen Lin ◽  
Jie-Ling Weng ◽  
Shu-Wei Chen ◽  
Xin-Hua Yang ◽  
...  

2017 ◽  
Vol Volume 10 ◽  
pp. 2737-2738
Author(s):  
Shujun Xia ◽  
Chuandong Wang ◽  
Emily Louise Postma ◽  
Yanhua Yang ◽  
Xiaofeng Ni ◽  
...  

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