|Table of Contents|

The application value of ultrasound radiomics model in predicting central lymph node metastasis of single papillary thyroid carcinoma with diameter ≤1 cm

Journal Of Modern Oncology[ISSN:1672-4992/CN:61-1415/R]

Issue:
2024 06
Page:
1115-1120
Research Field:
Publishing date:

Info

Title:
The application value of ultrasound radiomics model in predicting central lymph node metastasis of single papillary thyroid carcinoma with diameter ≤1 cm
Author(s):
SHE Jingwen; QIN Xiachuan; DUAN Yayang; XIE Yuchen; ZHOU Yuanyuan; ZHANG Chaoxue
Department of Ultrasound,the First Affiliated Hospital of Anhui Medical University,Anhui Hefei 230022,China.
Keywords:
radiomics; ultrasound images; papillary thyroid microcarcinoma; central lymph node metastasis
PACS:
R736.1
DOI:
10.3969/j.issn.1672-4992.2024.06.023
Abstract:
Objective:To explore the diagnostic value of ultrasound-based radiomics model in predicting central lymph node metastasis of single papillary thyroid carcinoma with diameter ≤1 cm.Methods:The preoperative ultrasound images and clinical data of 474 patients with single papillary thyroid carcinoma of diameter ≤1 cm confirmed by postoperative pathology from September 2018 to September 2021 were retrospectively analyzed.There were 156 cases with central lymph node metastasis and 318 cases without central lymph node metastasis.On the ultrasound images,the tumor area was drawn with Mazda software,which also analyzed the area's radiomics features.The least absolute shrinkage and selection operator (LASSO) regression will select the optimal feature.Finally,the prediction model was constructed using three machine learning algorithms:Logistic regression analysis (LRA),random forest (RF),and support vector machine (SVM).The receiver operating characteristic (ROC) curve,the area under the curve (AUC),sensitivity,specificity and accuracy were used to measure the predictive power.Results:The AUC of LRA,RF,and SVM in the training cohort was 0.763,0.806,and 0.792,respectively.Meanwhile,in the validation cohort,the AUC of LRA,RF,and SVM was 0.759,0.861,0.791,respectively.The RF model had the best prediction performance,and its ROC was 0.861.Conclusion:The ultrasound radiomics model has a certain diagnostic value in predicting central lymph node metastasis of single papillary thyroid carcinoma with diameter ≤1 cm.The RF has the best predictive capability of any of them.

References:

［1］HAUGEN BR,ALEXANDER EK,BIBLE KC,et al.2015 American thyroid association management guidelines for adult patients with thyroid nodules and differentiated thyroid cancer:The American thyroid association guidelines task force on thyroid nodules and differentiated thyroid cancer［J］.Thyroid,2016,26(1):1-133.
［2］YU X,SONG X,SUN W,et al.Independent risk factors predicting central lymph node metastasis in papillary thyroid microcarcinoma［J］.Horm Metab Res,2017,49(3):201-207.
［3］SHINDO M,WU JC,PARK EE,et al.The importance of central compartment elective lymph node excision in the staging and treatment of papillary thyroid cancer［J］.Arch Otolaryngol Head Neck Surg,2006,132(6):650-654.
［4］GAO Y,QU N,ZHANG L,et al.Preoperative ultrasonography and serum thyroid-stimulating hormone on predicting central lymph node metastasis in thyroid nodules as or suspicious for papillary thyroid microcarcinoma［J］.Tumour Biol,2016,37(6):7453-7459.
［5］ZHAO Q,MING J,LIU C,et al.Multifocality and total tumor diameter predict central neck lymph node metastases in papillary thyroid microcarcinoma［J］.Ann Surg Oncol,2013,20(3):746-752.
［6］LUNDGREN CI,HALL P,DICKMAN PW,et al.Clinically significant prognostic factors for differentiated thyroid carcinoma:a population-based,nested case-control study［J］.Cancer,2006,106(3):524-531.
［7］SUGITANI I,ITO Y,TAKEUCHI D,et al.Indications and strategy for active surveillance of adult low-risk papillary thyroid microcarcinoma:Consensus statements from the Japan association of endocrine surgery task force on management for papillary thyroid microcarcinoma［J］.Thyroid,2021,31(2):183-192.
［8］JEON MJ,KIM WG,CHUNG KW,et al.Active surveillance of papillary thyroid microcarcinoma:where do we stand［J］.Eur Thyroid J,2019,8(6):298-306.
［9］MAURI G,HEGEDUS L,BANDULA S,et al.European thyroid association and cardiovascular and interventional radiological society of Europe 2021 clinical practice guideline for the use of minimally invasive treatments in malignant thyroid lesions［J］.Eur Thyroid J,2021,10(3):185-197.
［10］WU X,LI BL,ZHENG CJ,et al.Predictive factors for central lymph node metastases in papillary thyroid microcarcinoma［J］.World J Clin Cases,2020,8(8):1350-1360.
［11］LIU C,XIAO C,CHEN J,et al.Risk factor analysis for predicting cervical lymph node metastasis in papillary thyroid carcinoma:a study of 966 patients［J］.BMC Cancer,2019,19(1):622.
［12］JEONG HS,BAEK CH,SON YI,et al.Integrated 18F-FDG PET/CT for the initial evaluation of cervical node level of patients with papillary thyroid carcinoma:comparison with ultrasound and contrast-enhanced CT［J］.Clin Endocrinol (Oxf),2006,65(3):402-407.
［13］ROH JL,KIM JM,PARK CI.Central cervical nodal metastasis from papillary thyroid microcarcinoma:pattern and factors predictive of nodal metastasis［J］.Ann Surg Oncol,2008,15(9):2482-2486.
［14］MOO TA,UMUNNA B,KATO M,et al.Ipsilateral versus bilateral central neck lymph node dissection in papillary thyroid carcinoma［J］.Ann Surg,2009,250(3):403-408.
［15］HONG YR,YAN CX,MO GQ,et al.Conventional US,elastography,and contrast enhanced US features of papillary thyroid microcarcinoma predict central compartment lymph node metastases［J］.Sci Rep,2015,5:7748.
［16］ZHANG C,LI BJ,LIU Z,et al.Predicting the factors associated with central lymph node metastasis in clinical node-negative (cN0) papillary thyroid microcarcinoma［J］.Eur Arch Otorhinolaryngol,2020,277(4):1191-1198.
［17］LAMBIN P,RIOS-VELAZQUEZ E,LEIJENAAR R,et al.Radiomics:extracting more information from medical images using advanced feature analysis［J］.Eur J Cancer,2012,48(4):441-446.
［18］YU Y,HE Z,OUYANG J,et al.Magnetic resonance imaging radiomics predicts preoperative axillary lymph node metastasis to support surgical decisions and is associated with tumor microenvironment in invasive breast cancer:A machine learning,multicenter study［J］.EBioMedicine,2021,69:103460.
［19］FIZ F,VIGANO L,GENNARO N,et al.Radiomics of liver metastases:a systematic review［J］.Cancers (Basel),2020,12(10):2881.
［20］TONG Y,ZHANG J,WEI Y,et al.Ultrasound-based radiomics analysis for preoperative prediction of central and lateral cervical lymph node metastasis in papillary thyroid carcinoma:a multi-institutional study［J］.BMC Med Imaging,2022,22(1):82.
［21］MAYERHOEFER ME,MATERKA A,LANGS G,et al.Introduction to radiomics［J］.J Nucl Med,2020,61(4):488-495.
［22］方小东,邓蕾,张磊,等.MRI影像组学在鉴别前列腺癌与前列腺增生中的临床应用价值［J］.现代肿瘤医学，2023,31（07）：1301-1306. FANG XD,DENG L,ZHANG L,et al.Clinical application value of MRI radiomics in differentiating prostate cancer from prostatic hyperplasia［J］.Modern Oncology,2023,31（07）：1301-1306.
［23］宋鑫洋,沈天赐,胡翔宇,等.基于薄层CT图像的影像组学列线图在肺良恶性结节鉴别诊断中的价值［J］.现代肿瘤医学，2023,31（08）：1502-1506. SONG XY,SHEN TC,HU XY,et al.The value of radiomics nomogram based on thin-section CT images in identifying benign and malignant pulmonary nodules［J］.Modern Oncology,2023,31（08）：1502-1506.
［24］LIANG J,HUANG X,HU H,et al.Predicting malignancy in thyroid nodules:radiomics score versus 2017 American college of radiology thyroid imaging,reporting and data system［J］.Thyroid,2018,28(8):1024-1033.
［25］LI F,PAN D,HE Y,et al.Using ultrasound features and radiomics analysis to predict lymph node metastasis in patients with thyroid cancer［J］.BMC Surg,2020,20(1):315.
［26］YU J,DENG Y,LIU T,et al.Lymph node metastasis prediction of papillary thyroid carcinoma based on transfer learning radiomics［J］.Nat Commun,2020,11(1):4807.
［27］ZOU Y,SHI Y,LIU J,et al.A comparative analysis of six machine learning models based on ultrasound to distinguish the possibility of central cervical lymph node metastasis in patients with papillary thyroid carcinoma［J］.Front Oncol,2021,11:656127.
［28］YANG Y,CHEN C,CHEN Z,et al.Prediction of central compartment lymph node metastasis in papillary thyroid microcarcinoma［J］.Clin Endocrinol (Oxf),2014,81(2):282-288.
［29］CHEN BD,ZHANG Z,WANG KK,et al.A multivariable model of BRAF(V600E) and ultrasonographic features for predicting the risk of central lymph node metastasis in cN0 papillary thyroid microcarcinoma［J］.Cancer Manag Res,2019,11:7211-7217.
［30］JIWANG L,YAHONG L,KAI L,et al.Clinicopathologic factors and preoperative ultrasonographic characteristics for predicting central lymph node metastasis in papillary thyroid microcarcinoma:a single center retrospective study［J］.Braz J Otorhinolaryngol,2022,88(1):36-45.

Memo

Memo:
-
Last Update: 1900-01-01