Literature DB >> 27070179

Cervical Lymph Node Imaging Reporting and Data System for Ultrasound of Cervical Lymphadenopathy: A Pilot Study.

Kyeong Hwa Ryu1,2, Kwang Hwi Lee1,3, JiHwa Ryu1, Hye Jin Baek4, Suk Jung Kim1, Hyun Kyung Jung1, Sung Mok Kim5.   

Abstract

OBJECTIVE: The objective of our study was to compare ultrasound (US) and real-time elastography (RTE) features of benign and malignant cervical lymphadenopathies and propose a structured reporting system for lymph nodes.
MATERIALS AND METHODS: The study population for this retrospective study consisted of 291 consecutive patients who underwent US-guided biopsies for cervical lymphadenopathy between 2013 and 2014. The following imaging features were analyzed: shape, margin, echogenicity, echogenic hilum, gross necrosis, calcification, matting, intranodal vascular pattern, elasticity scores (four categories), and strain ratio. A score was assigned for each significant factor from a logistic regression analysis and was multiplied by the beta coefficient. The fitted probability of malignancy was calculated. The risk of malignancy was determined on the basis of the number of suspicious features. Interobserver agreement of the imaging features was retrospectively analyzed using a coefficient of interrater agreement.
RESULTS: The imaging features that were significantly associated with malignant lymphadenopathy were round shape, noncircumscribed margin, hyperechogenicity, absence of hilum, gross necrosis, calcification, peripheral or mixed vascularity, high elasticity scores, and high level of strain ratio (p < 0.05). The fitted probability and risk of malignancy increased as the number of suspicious features increased. The risk of malignancy according to the Cervical Lymph Node Imaging Reporting and Data System categories was as follows: category 1, 3.3%; category 2, 10.9%; category 3, 26.7%; category 4, 51.8-74.4%; and category 5, 90.6-98.8%. An analysis of the overall interobserver agreement revealed that interobserver agreement was moderate to good.
CONCLUSION: We propose the Cervical Lymph Node Imaging Reporting and Data System, which uses the number of suspicious US and RTE features to assess the risk of malignancy in cervical lymph nodes.

Entities:  

Keywords:  interobserver agreement; lymph node; real-time elastography; structured reporting system; ultrasound

Mesh:

Year:  2016        PMID: 27070179     DOI: 10.2214/AJR.15.15381

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  6 in total

1.  [Influence of external and endogenous factors on cervical lymph nodes : Sonographic study of size and morphology].

Authors:  S Öztoprak; H Gärtner; B Schick; A Bozzato
Journal:  HNO       Date:  2018-05       Impact factor: 1.284

2.  Diagnostic Model of Superficial Lymph Nodes Based on Clinical History and Ultrasound Findings: A Prospective Cohort Study.

Authors:  Xiao-Qu Tan; Lin-Xue Qian; Jun-Feng Zhao; Peng-Fei Sun; Qing-Qing Li; Ruo-Xuan Feng
Journal:  Front Oncol       Date:  2022-01-03       Impact factor: 6.244

3.  Comparison of Ultrasound-Guided Core Needle Biopsy Under the Assistance of Hydrodissection With Fine Needle Aspiration in the Diagnosis of High-Risk Cervical Lymph Nodes: A Randomized Controlled Trial.

Authors:  Dengke Teng; Chunhui Dong; Daju Sun; Zhuo Liu; Hui Wang
Journal:  Front Oncol       Date:  2022-01-13       Impact factor: 6.244

4.  Large-Volume Lateral Lymph Node Metastasis Predicts Worse Prognosis in Papillary Thyroid Carcinoma Patients With N1b.

Authors:  Luying Gao; Xiaoyi Li; Yu Xia; Ruifeng Liu; Chunhao Liu; Xinlong Shi; Yanjiao Wu; Liyuan Ma; Yuxin Jiang
Journal:  Front Endocrinol (Lausanne)       Date:  2022-02-02       Impact factor: 5.555

5.  A Risk Stratification Model for Metastatic Lymph Nodes of Papillary Thyroid Cancer: A Retrospective Study Based on Sonographic Features.

Authors:  Xiaofeng Ni; Shangyan Xu; Weiwei Zhan; Wei Zhou
Journal:  Front Endocrinol (Lausanne)       Date:  2022-07-22       Impact factor: 6.055

6.  Ultrasonographic features of cervical lymph node metastases from medullary thyroid cancer: a retrospective study.

Authors:  Xiaofeng Ni; Shangyan Xu; Weiwei Zhan; Wei Zhou
Journal:  BMC Med Imaging       Date:  2022-08-29       Impact factor: 2.795

  6 in total

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