Detailed Information

Cited 32 time in webofscience Cited 32 time in scopus
Metadata Downloads

Nomogram for Predicting Central Node Metastasis in Papillary Thyroid Carcinoma

Authors
Kim, SK[Kim, Seo Ki]Chai, YJ[Chai, Young Jun]Park, I[Park, Inhye]Woo, JW[Woo, Jung-Woo]Lee, JH[Lee, Jun Ho]Lee, KE[Lee, Kyu Eun]Choe, JH[Choe, Jun-Ho]Kim, JH[Kim, Jung-Han]Kim, JS[Kim, Jee Soo]
Issue Date
1-Mar-2017
Publisher
WILEY
Keywords
papillary thyroid carcinoma; central lymph node metastasis; central neck dissection; nomogram; ultrasonography
Citation
JOURNAL OF SURGICAL ONCOLOGY, v.115, no.3, pp.266 - 272
Indexed
SCIE
SCOPUS
Journal Title
JOURNAL OF SURGICAL ONCOLOGY
Volume
115
Number
3
Start Page
266
End Page
272
URI
https://scholarworks.bwise.kr/skku/handle/2021.sw.skku/29794
DOI
10.1002/jso.24512
ISSN
0022-4790
Abstract
Background: There was a difficulty for detecting Central lymph node metastasis (CLNM) in papillary thyroid carcinoma (PTC) patients. Therefore, the purpose of this study was to design a nomogram for predicting CLNM. Methods: A total of 10,763 PTC patients who underwent total thyroidectomy with central neck dissection ( CND) in Samsung Medical Center were randomly assigned to the training set (n = 7,535) and to the internal validation set ( n = 3,228). And, a total of 2,514 PTC patients who underwent total thyroidectomy with CND at Seoul National University Hospital were assigned to the external validation set. Results: The values of the area under the receiver operating characteristic curve in the training set, internal validation set, and external validation set were 0.721 (95% confidence interval [CI], 0.709-0.732), 0.706 ( 95% CI, 0.688-0.724), and 0.706 ( 95% CI, 0.685-0.727), respectively. Conclusions: We recommend the use of our nomogram to enable clinicians and patients to easily personalize and quantify the probability of CLNM during the both pre- and postoperative period. Clinicians may consider the prophylactic CND and meticulous postoperative evaluation in PTC patients with a high nomogram score. (C) 2016 Wiley Periodicals, Inc.
Files in This Item
There are no files associated with this item.
Appears in
Collections
Medicine > Department of Medicine > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher KIM, JEE SOO photo

KIM, JEE SOO
Medicine (Medicine)
Read more

Altmetrics

Total Views & Downloads

BROWSE