Features Of Cervical Lymph Nodes Research Articles

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

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.

Nomogram-Based Prediction of Risk of Cervical Lymph Node Metastasis in Differentiated Thyroid Carcinoma

Objective To establish a nomogram for predicting the risk of cervical lymph node metastasis in differentiated thyroid carcinoma (DTC). Methods The patients with complete clinical data of DTC and cervical lymph node ultrasound and diagnosed based on pathological evidence from January 2019 to December 2021 were assigned into a training group (n=444) and a validation group (n=125).Lasso regression was performed to screen the data with differences between groups,and multivariate Logistic regression to establish a prediction model with the factors screened out by Lasso regression.C-index and calibration chart were employed to evaluate the prediction performance of the established model. Results The predictive factors for establishing the model were lymph node short diameter≥0.5 cm,long-to-short-axis ratio<2,disappearance of lymph node hilum,cystic transformation,hyperechogenicity,calcification,and abnormal blood flow (all P<0.001).The established model demonstrated a good discriminative ability,with the C index of 0.938 (95%CI=0.926-0.961) in the training group. Conclusion The nomogram established based on the ultrasound image features of cervical lymph nodes in DTC can accurately predict the risk of cervical lymph node metastasis in DTC.

Sonographic Features of Cervical Lymph Nodes in Patients With Hashimoto Thyroiditis and the Impacts From the Levothyroxine With Prednisone Therapy.

This study aimed to evaluate the ultrasonographic pattern of cervical lymph nodes (CLNs) and whether levothyroxine with prednisone therapy is effective for lymphadenopathy in patients with Hashimoto thyroiditis (HT). This retrospective study was looking at patients with confirmed diagnosis of HT who underwent comprehensive neck ultrasound examination. We reviewed sonographic findings in 127 patients with HT, 234 euthyroid patients with goiter, and 122 healthy subjects. In addition, 30 untreated HT patients with cervical lymphadenopathy were recruited for the levothyroxine with prednisone therapy. We rescanned the patients 9 months after treatment with levothyroxine and prednisone. Patients with HT had a higher rate of CLN detection on ultrasound than euthyroid patients with goiter and healthy subjects at cervical levels III, IV, and VI (P < 0.01). In addition, patients with HT had a higher rate of detection of CLNs with abnormal sonographic features than the other 2 groups, most notably at cervical levels III, IV, and VI (P < 0.01). After the treatment, the mean thyroid volume, thyroid nodule volume, CLN volume, symptom score, and cosmetic grade of 30 HT patients were remarkably decreased (P < 0.01 or P < 0.001). Hashimoto thyroiditis seems to be associated with an increased rate of detection of CLNs with abnormal sonographic features, particularly at cervical levels III, IV, and VI. Therapy with levothyroxine with prednisone is effective for cervical lymphadenopathy in patients with HT.

Ultrasound-based clinical prediction rule model for detecting papillary thyroid cancer in cervical lymph nodes: A pilot study.

To identify sonographic features of cervical lymph nodes (LNs) that are associated with papillary thyroid cancer (PTC) and to develop a prediction model for classifying nodes as metastatic or benign. This retrospective study included the records of postthyroidectomy patients with PTC who had undergone cervical ultrasound and LN biopsy. LN location, size, shape, hilum, echopattern, Doppler flow, and microcalcifications were assessed. Model selection was used to identify features associated with malignant LNs and to build a predictive, binary-outcome, generalized linear mixed model. A cross-validated receiver operating characteristic analysis was conducted to assess the accuracy of the model for classifying metastatic nodes. We analyzed records from 71 LNs (23 metastatic) in 44 patients (16 with PTC). The predictive model included a nonhomogeneous echopattern (odds ratio [OR], 5.73; 95% confidence interval [CI], 1.07-30.74; p = 0.04), microcalcifications (OR, 4.91; 95% CI, 0.91-26.54; p = 0.06), and volume (OR, 2.57; 95% CI, 0.66-9.99; p = 0.16) as predictors. The model had an area under the curve of 0.74 (95% CI, 0.60-0.85), sensitivity of 65% (95% CI, 50% to 78%), and specificity of 85% (95% CI, 73% to 94%) at the Youden optimal cut point of 0.38. Nonhomogeneous echopattern, microcalcifications, and node volume were predictive of malignant LNs in patients with PTC. A larger sample is needed to validate this model.

Sonographic Features of Cervical Lymph Nodes After Thyroidectomy for Papillary Thyroid Carcinoma

Unlike the preoperative findings in patients with papillary thyroid carcinoma, the postoperative sonographic features of cervical lymph nodes have not been established. This study aimed to assess the sonographic features of metastatic lymph nodes after thyroidectomy for papillary thyroid carcinoma. The study population consisted of 104 consecutively registered patients who had undergone thyroidectomy for papillary thyroid carcinoma and underwent sonographically guided fine-needle aspiration of lymph nodes in the neck. The sonographic features of each lymph node were retrospectively evaluated by a single radiologist. The confirmation methods for the 115 lymph nodes included surgery (n = 35), measurement of thyroglobulin levels in the aspirates (n = 2), malignant cytologic analysis (n = 10), and benign cytologic analysis with sonographic follow-up over 12 months (n = 68). We determined the diagnostic indices of individual sonographic features for differentiating between metastatic and benign lymph nodes by comparing these features with the final diagnoses. Of the 104 patients, 67 underwent at least 1 cycle of radioisotope therapy after thyroidectomy. The malignancy rate for the lymph nodes was 42.6% (49 of 115). A significant relationship was found between malignancy and the presence of an intranodal cystic component, intranodal microcalcifications, diffusely increased echogenicity, a microlobulated margin, a round shape, loss of echogenic hila, and mixed or central vascularity on color Doppler sonography (P < .05). The sonographic features of metastatic cervical lymph nodes in postoperative patients with papillary thyroid carcinoma were similar to those in preoperative patients.

Neck Lymph Nodes in Chronic Autoimmune Thyroiditis: The Sonographic Pattern

Neck lymph nodes may be involved in the pathogenesis of chronic autoimmune thyroiditis (CAT). This study was undertaken to identify which of the sonographic features of cervical lymph nodes are readily applicable to patients affected by CAT compared to healthy control subjects. We recruited 106 patients (92 females and 14 males) with CAT and 70 control subjects (53 females and 17 males) without clinical, biochemical, and ultrasonographic evidence of thyroid and neck diseases. We performed laboratory tests (thyrotropin, antithyroperoxidase antibodies, antithyroglobulin antibodies, and ultrasonography) to evaluate in each group: (i) thyroid function, autoimmunity, and morphology; (ii) number, topographic distribution (levels I-VI), and morphology of neck nodes (long-axis diameter; short-axis diameter; short-axis/long-axis ratio; absence or presence of hilus). Total number of neck nodes with long-axis diameter >10 mm was significantly higher in the CAT group than in the control group (mean±standard deviation [SD]: 3.7±2.4 vs. 0.8±1.3; p<0.001) with significantly increased differences in levels II (1.4±0.8 vs. 0.3±0.5; p<0.001), III (2±1.2 vs. 0.3±0.7; p<0.001), and IV (0.7±0.7 vs. 0.07±0.2; p<0.001). More nodes with a hilus were found in the CAT group than in the control group (mean number of nodes±SD: 2.8±1.9 vs. 0.7±1.1; p<0.001). Short-axis diameter of level III (4.4±1 vs. 3.7±1.2 mm; p=0.002) and level IV nodes (3.9±1 vs. 3.1±0.5 mm p=0.030) was increased in CAT patients when compared with healthy controls. The present study is the first one aiming at a systematic description of the sonographic pattern of cervical lymph nodes in CAT. An increased number of benign hyperplastic neck nodes, especially in levels II-IV, appears to be a characteristic sonographic finding associated with CAT.

Morphological MRI criteria improve the detection of lymph node metastases in head and neck squamous cell carcinoma: multivariate logistic regression analysis of MRI features of cervical lymph nodes

The aim was to evaluate whether morphological criteria in addition to the size criterion results in better diagnostic performance of MRI for the detection of cervical lymph node metastases in patients with head and neck squamous cell carcinoma (HNSCC). Two radiologists evaluated 44 consecutive patients in which lymph node characteristics were assessed with histopathological correlation as gold standard. Assessed criteria were the short axial diameter and morphological criteria such as border irregularity and homogeneity of signal intensity on T2-weighted and contrast-enhanced T1-weighted images. Multivariate logistic regression analysis was performed: diagnostic odds ratios (DOR) with 95% confidence intervals (95% CI) and areas under the curve (AUCs) of receiver-operating characteristic (ROC) curves were determined. Border irregularity and heterogeneity of signal intensity on T2-weighted images showed significantly increased DORs. AUCs increased from 0.67 (95% CI: 0.61–0.73) using size only to 0.81 (95% CI: 0.75–0.87) using all four criteria for observer 1 and from 0.68 (95% CI: 0.62–0.74) to 0.96 (95% CI: 0.94–0.98) for observer 2 (p < 0.001). This study demonstrated that the morphological criteria border irregularity and heterogeneity of signal intensity on T2-weighted images in addition to size significantly improved the detection of cervical lymph nodes metastases.

Ultrasonography of Abnormal Neck Lymph Nodes

Ultrasonography is a useful imaging modality for assessing cervical lymphadenopathy in patients with head and neck carcinomas. Features of cervical lymph nodes using gray-scale and color and power Doppler ultrasonography can help to distinguish normal and reactive lymph nodes from potentially metastatic lymph nodes. The distinguishing features that separate abnormal from normal cervical lymph nodes include peripheral vascularity, shape, overall lymph node echogenicity, absence of hilus, presence of nodal microcalcifications, and cystic changes. Often, a combination of these features is needed to assign a cervical lymph node as being abnormal.

B Cells in Murine Cervical Lymph Nodes are Conventional B-2 Cells

We investigated the characteristic features of cervical lymph node B cells to determine whether their behavior differs from that of B cells located elsewhere, because cervical lymph nodes may be exposed to continual antigenic stimulation from the naso- and/or oropharynx. B cells were isolated from cervical lymph nodes, spleen and peritoneal fluid of mice, cultured in medium, and exposed to various stimuli. The expression of various surface molecules characteristic of lymphoid B cells was assayed by flow cytometry, and immunoglobulin secreted into the culture supernatants was evaluated by enzyme-linked immunosorbent assay. B220+ cells were cultured in medium alone or with lipopolysaccharide, and their entrance into S phase in response to stimuli was measured by proliferative assays. Phenotypic characteristics of cervical lymph node B cells included CD5low, CD23high, CD43low, B7.1low, B7.2low, and Syndecan-1low. Unstimulated lymphoid B cells did not secrete immunoglobulin, but, upon stimulation, secretion of IgM was increased more than secretion of IgA and IgG. B cells actively entered S phase after 48 hr stimulation. These results show that B cells in cervical lymph nodes are conventional B2 cells, like splenic B cells.

Diagnostic Accuracy of High-Resolution Neck Ultrasonography in the Follow-Up of Differentiated Thyroid Cancer: A Prospective Study

To conduct a prospective study of the diagnostic value of features of cervical lymph nodes (large size, central location, abnormal shape, cystic changes, calcifications, and loss of echogenic hilum), assessed by neck ultrasonography (US), in patients scheduled for surgical treatment of persistent or recurrent differentiated thyroid cancer. We studied 152 US abnormalities in 42 patients (median age, 38.5 years) who had undergone one or more neck operations, with or without radioiodine therapy, but continued to have persistent or recurrent disease, which was confirmed by fine-needle aspiration. Another surgical procedure was planned for these patients. On the day of operation, patients underwent a detailed US neck examination by an experienced radiologist. US abnormalities were plotted on a standard diagram of the neck and given specific numbers to help track them during surgical intervention and histopathologic examinations. The US features were compared with the final histopathologic diagnosis. Of 152 US abnormalities, 127 involved cervical lymph nodes and 25 involved other types of tissue. In univariate analysis, size, absent echogenic hilum, cystic changes, calcifications, and central location (medial to the sternomastoid muscle) of cervical lymph nodes were significantly associated with the presence of metastatic involvement. In multivariate analysis, only central location (odds ratio, 4.07; 95% confidence interval [CI], 1.64 to 10.10) and size (odds ratio, 5.14; 95% CI, 1.64 to 16.06) remained significant. The receiver operating characteristic curve for the size of lymph nodes showed a large area under the curve of 0.77 (95% CI, 0.68 to 0.85), and a size of 7.5 mm showed the highest sensitivity and specificity. Size and central location of cervical lymph nodes assessed by US during follow-up of patients with differentiated thyroid cancer were the most important predictors of presence of metastatic disease.

Vascularity and Grey-Scale Sonographic Features of Normal Cervical Lymph Nodes: Variations with Nodal Size

AIM: This study was undertaken to investigate variations in the vascularity and grey-scale sonographic features of cervical lymph nodes with their size. MATERIALS AND METHODS: High resolution grey-scale sonography and power Doppler sonography were performed in 1133 cervical nodes in 109 volunteers who had a sonographic examination of the neck. Standardized parameters were used in power Doppler sonography. RESULTS: About 90% of lymph nodes with a maximum transverse diameter greater than 5mm showed vascularity and an echogenic hilus. Smaller nodes were less likely to show vascularity and an echogenic hilus. As the size of the lymph nodes increased, the intranodal blood flow velocity increased significantly (P<0.05), whereas there was no significant variation in the vascular resistance(P> 0.05). CONCLUSIONS: The findings provide a baseline for grey-scale and power Doppler sonography of normal cervical lymph nodes. Sonologists will find varying vascularity and grey-scale appearances when encountering nodes of different sizes.Ying, M.et al. (2001). Clinical Radiology, 56, 416–419.

Cervical lymphadenopathy: sonographic differentiation between tuberculous nodes and nodal metastases from non-head and neck carcinomas.

Clinical examination alone cannot differentiate between cervical tuberculous lymphadenitis and cervical nodal metastases from non-head and neck (NHN) carcinomas because the distributions of involved lymph nodes are similar. We evaluated the sonographic features of cervical lymph nodes that could be used to differentiate between the 2 categories of nodes. We retrospectively reviewed sonograms of abnormal cervical lymph nodes in 47 patients with proven cervical tuberculous lymphadenitis and in 22 patients with proven nodal metastases from NHN carcinomas. Abnormal nodes in tuberculous lymphadenitis and nodal metastases from NHN carcinomas were commonly found in the supraclavicular fossa (15% and 38%, respectively) and the posterior triangle (70% and 41%, respectively). Statistically significant (p < 0.05) features for differential diagnosis were lymph nodes' longest diameter, echogenicity, short-to-long axis ratio, appearance of surrounding soft tissues, and presence of intranodal cystic necrosis, matting, and posterior enhancement. Nodal size, echogenicity, presence of an echogenic hilum, calcification, coagulation necrosis, and sharpness of borders helped in identifying the abnormal lymph nodes. Sonographic features that helped to differentiate between the 2 categories of nodes were shape, edema of surrounding soft tissue, homogeneity, intranodal cystic necrosis, matting, and posterior enhancement.