The Clinical Value of New Scoring System of Cervical Lymph Node

Shen, Haolin; Lv, Guorong; Ke, Linfang; Ling, Li; Zheng, Chunnuan; Yang, Sheng

doi:10.1097/ruq.0000000000000427

Cited by 7 publications

(12 citation statements)

References 9 publications

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“…Ultrasonography-based applications in many ultrasound techniques have been used to distinguish the cause of lymphadenomegaly or to differentiate them from neoplastic processes, such as elastography (7) and microvascular imaging (6) as well as scoring systems (8,9). In a study comparing the ultrasound, roentgenogram and CT findings of mediastinum in children with tuberculous infections, there were cases of mediastinal lymphadenopathy on ultrasound evaluation in most of the patients with normal radiographic evaluation, some of them also being confirmed with CT (10).…”

Section: Discussionmentioning

confidence: 99%

Sağlikli Çocuklarda Medi̇asti̇nal Lenf Gangli̇onlari; Yaşa Göre Siklik, Boyut Araliği Ve Dağilim

Bayramoğlu¹,

Yekeler²

2020

J Istanb Fac Med

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This study was presented in ''Pediatri Günleri Congress (2019, İstanbul) as oral presentation and has been choosen for the best oral presentation award. ÖZET Amaç: Klinik olarak anlamlı lenf nodları (LN) hakkında karar vermek çok önemlidir. Mediastinal LNları lokasyon, boyut ve yaş gruplarına göre değerlendirdik. Gereç ve Yöntem: Travma sonrası radyoloji bölümüne yönlendirilen 150 çocuğun kontrastlı göğüs bilgisayarlı tomografi taramaları retrospektif olarak değerlendirildi. Tüm katılımcılar her biri otuz çocuğu içeren beş yaş grubuna ayrıldı (0-24, 25-60, 61-120, 121-180 ve 181-216 ay). En büyük LNlarının kısa ve uzun eksendeki çapları konumları, yaş ve cinsiyetlerine göre değerlendirildi. SPSS 22 programı ile Kolmogorov-Smirnov testi, t testi, Spearman korelasyon analizi ve tanımlayıcı istatistikler çalışıldı.

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Section: Discussionmentioning

confidence: 99%

Sağlikli Çocuklarda Medi̇asti̇nal Lenf Gangli̇onlari; Yaşa Göre Siklik, Boyut Araliği Ve Dağilim

Bayramoğlu¹,

Yekeler²

2020

J Istanb Fac Med

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“…The inclusion criteria were as follows (meeting all 3 of the following items): (1) US examination revealed cervical lymph nodes with suspicious malignant features ( 18 , 19 ) such as hyperechoic, noncircumscribed margin, absence of hilum, gross necrosis, calcification, peripheral or mixed vascularity and shortest-to-longest axis ratio (S/L ratio) ≤0.5; (2) cervical lymph nodes were adjacent to important structures such as blood vessels and nerves; and (3) the maximum diameter of the cervical lymph nodes was ≤1.5 cm.…”

Section: Methodsmentioning

confidence: 99%

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

et al. 2022

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A randomized comparison of ultrasound (US)-guided core needle biopsy (CNB) under the assistance of hydrodissection with fine needle aspiration (FNA) was performed to evaluate the feasibility, safety and effectiveness for the diagnosis of high-risk cervical lymph nodes. Patients from December 2018 to May 2020 were randomly assigned to the CNB group and the FNA group at a ratio of 1:1. This study protocol was approved by the Ethics Committee of our hospital and registered in the Chinese Clinical Trial Registry (ChiCTR1800019370). The feasibility of CNB for high-risk cervical lymph nodes was evaluated by observing and recording the separation success rate (SSR) and technical success rate (TSR) of the CNB group. Safety was evaluated by comparing the incidence of major complications in the two groups. The diagnostic efficacy was evaluated by comparing the diagnostic accuracy, sensitivity, and specificity of the two groups. A total of 84 patients (84 lymph nodes) were randomized into the CNB (n = 42) and FNA (n = 42) groups. All patients in the CNB group achieved successful hydrodissection and biopsy. The SSR and TSR were both 100% in the CNB group. There were no major complications during or after the process in the two groups. Compared with the FNA group, the CNB group was significantly superior in terms of diagnostic accuracy and sensitivity (100% vs. 81.0%, P = 0.009; 100% vs. 79.2%, P = 0.035, respectively). The specificity of the two groups was 100%, and there was no significant difference. Compared with FNA, CNB under the assistance of hydrodissection is a feasible and safe method but is more effective for the diagnosis of high-risk cervical lymph nodes.Clinical Trial Registrationhttp://www.medresman.org, ChiCTR1800019370.

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“…4,5 A previous study proposed a novel predictive scoring system based on US features that could identify malignant lymph nodes. 6 This scoring system could minimize errors caused by the operator's subjective judgment, thereby greatly enhancing the predictive accuracy of benign or malignant cervical lymph nodes. However, differentiation between metastatic lymph nodes and lymphomas is still rudimentary.…”

mentioning

confidence: 99%

Development, Validation, and Comparison of 2 Ultrasound Feature–Guided Machine Learning Models to Distinguish Cervical Lymphadenopathy

Zhong¹,

Wang²,

Chen

et al. 2023

Ultrasound Quarterly

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The objective of this study is to develop and validate the performance of 2 ultrasound (US) feature–guided machine learning models in distinguishing cervical lymphadenopathy. We enrolled 705 patients whose US characteristics of lymph nodes were collected at our hospital. B-mode US and color Doppler US features of cervical lymph nodes in both cohorts were analyzed by 2 radiologists. The decision tree and back propagation (BP) neural network were developed by combining clinical data (age, sex, and history of tumor) and US features. The performance of the 2 models was evaluated by calculating the area under the receiver operating characteristics curve (AUC), accuracy value, precision value, recall value, and balanced F score (F1 score). The AUC of the decision tree and BP model in the modeling cohort were 0.796 (0.757, 0.835) and 0.854 (0.756, 0.952), respectively. The AUC, accuracy value, precision value, recall value, and F1 score of the decision tree in the validation cohort were all higher than those of the BP model: 0.817 (0.786, 0.848) vs 0.674 (0.601, 0.747), 0.774 (0.737, 0.811) vs 0.702 (0.629, 0.775), 0.786 (0.739, 0.833) vs 0.644 (0.568, 0.720), 0.733 (0.694, 0.772) vs 0.630 (0.542, 0.718), and 0.750 (0.705, 0.795) vs 0.627 (0.541, 0.713), respectively. The US feature–guided decision tree model was more efficient in the diagnosis of cervical lymphadenopathy than the BP model.

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The Clinical Value of New Scoring System of Cervical Lymph Node

Cited by 7 publications

References 9 publications

Sağlikli Çocuklarda Medi̇asti̇nal Lenf Gangli̇onlari; Yaşa Göre Siklik, Boyut Araliği Ve Dağilim

Sağlikli Çocuklarda Medi̇asti̇nal Lenf Gangli̇onlari; Yaşa Göre Siklik, Boyut Araliği Ve Dağilim

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

Development, Validation, and Comparison of 2 Ultrasound Feature–Guided Machine Learning Models to Distinguish Cervical Lymphadenopathy

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