Malignant Mediastinal Nodes Research Articles

Endobronchial ultrasound elastography for diagnosing mediastinal and hilar lymph nodes

BackgroundThe main objective was to analyze the technical variability of EBUS-elastography in the differentiation of benign and malignant hilar and mediastinal lymph nodes. As a secondary objective, the results of the EBUS-elastography in said differentiation were analyzed, comparing them with the anatomopathological results. MethodsProspective and analytical study of lymph nodes in which EBUS-elastography was performed. Elastographic variables and their variability were analyzed. Results24 patients and 38 lymph nodes were evaluated. Of these, 60.5 % had a history of neoplasia, 71 % of them were EBUS-elastography with diagnostic intention, 53 % were mediastinal staging of lung cancer. Both procedures were performed in 25 % of the patients. Lymph nodes were classified into elastographic colour patterns, red being characteristic of elastic tissues and blue of rigid tissues. The lymphadenopathies with apredominantly blue pattern were associated with an anatomopathological result of malignancy (86 % vs 14 %, OR 20.4 (3.1–245.1) p-value = .00015). Malignant lymph nodes presented less colour dispersion in the frequency histograms and a higher ratio of blue pixels and higher strain ratio. These variables showed a variability of 8.7 %, 9.9 % and 31.6 % respectively in repetitions in the same adenopathy. Finally, a 66 % of consistency was obtained in the event of colour pattern variability (p 0.0000). ConclusionEBUS-elastography is feasible during EBUS and may be helpful in predicting malignant lymph node infiltration. The quantitative elastographic data show low variability in repetitions in the same adenopathy. The strain ratio is the most variable elastographic parameter.

The Canada Lymph Node Score for prediction of malignancy in mediastinal lymph nodes during endobronchial ultrasound

Objective(s)During endobronchial ultrasound (EBUS) staging, ultrasonographic features can be used to predict mediastinal lymph node (LN) malignancy. We sought to develop the Canada Lymph Node Score a tool capable of predicting LN metastasis at the time of EBUS. MethodsPatients undergoing EBUS staging for lung and esophageal cancer were prospectively enrolled. Features were identified in real time by an endoscopist and video-recorded. Videos were sent to raters. Pathologic specimens from biopsies/surgical resections were used as the gold-standard reference test. Logistic regression, receiver operator characteristic curve, and Gwet's AC1 analyses were used to test the performance, discrimination, and inter-rater reliability, respectively. ResultsIn total, 300 LNs from 140 patients were analyzed by 12 endoscopists (raters) across 7 Canadian centers. Beta-coefficients from a multivariate regression model were used to create a 4-point score: short-axis diameter, margins, central hilar structure, and necrosis. The model showed good discriminatory power (c-statistic = 0.72 ± 0.04, 95% confidence interval [CI], 0.64-0.80; bias-corrected c-statistic: 0.66, 95% CI, 0.55-0.76). LNs scoring 3/4 or 4/4 had odds ratios of 15.17 (P < .0001) and 50.56 (P = .001) for predicting malignancy, respectively. Inter-rater reliability for a score ≥3 was 0.81 ± 0.02 (95% CI, 0.77-0.85). ConclusionsThe Canada Lymph Node Score is a 4-point score demonstrating excellent performance in identifying malignant LNs during EBUS. A cut-off of ≥3 may inform decision-making regarding biopsy, repeat biopsy, or mediastinoscopy if the initial results are inconclusive.

Performance of Endobronchial Ultrasound Elastography in the Differentiation of Malignant and Benign Mediastinal Lymph Nodes: Results in Real-life Practice.

Little data exists regarding the performance of elastography in EBUS-TBNA. The aim of the study was to evaluate the elastography score proposed and previously published by Izumo, in particular its capacity to perfectly identify benign lymph node, and to discriminate malignant ones. This study included patients undergoing EBUS-TBNA for mediastinal lymph nodes (LN). Before LN needle aspiration, an elastography was performed which allowed a color elastogram to be superimposed on the ultrasound image. Three blinded assessors classified these elastograms into 3 types using the score published by Izumo: type 1 (predominantly not blue), type 2 (partially blue, partially not blue), or type 3 (predominantly blue). These types were then compared with pathology results. A total of 217 LN (114 patients) were analyzed: histologic findings identified 97 benign LN (44.7% of the lymph nodes) and 120 malignant LN (55.3%). There were 44 elastographies (20.2%) that were classified as type 1, 90 elastographies (41.5%) classified as type 2, and 83 elastographies (38.3%) classified as type 3. Considering type 1 as benign and type 3 as malignant, sensitivity, specificity, positive predictive value, and negative predictive value were respectively 87.0%, 68.0% , 80.0% , and 77.0%. Ten (23%) of the 44 lymph nodes with a type 1 elastogram were malignant. Elastography does not preclude performing TBNA of the lymph nodes. It does not preclude EBUS-TBNA when a type 1 elastogram pattern is found. All lymph nodes visualized should be sampled by EBUS-TBNA, regardless of elastography pattern.

Evaluation of mediastinal lymphadenopathy by diffusion weighted MRI; correlation with histopathological results.

Diffusion weighted imaging (DWI) has shown its potential as a reliable noninvasive technique for tissue characterization. DWI reflects the tissue specific diffusion capacity which can be used for tissue characterization. Hypercellular tissue (e.g; malignant tumors) had restricted diffusion capacity with increased signals on DWI and low ADC values. Non-tumoral tissues show low cellularity, and diffusion capacity is not restricted resulting in signal loss on DWI and high apparent diffusion coefficient (ADC). Differential diagnosis of mediastinal lymphadenopathy is an issue of debate, especially in malignant benign differentiation. Diffusion weighted imaging with magnetic resonance could improve the diagnostic accuracy in differentiation between benign and malignant mediastinal nodes. to determine the efficacy of diffusion weighted MRI in evaluation of mediastinal lymphadenopathy with histopathological correlation to differentiate benign from malignant lymph nodes. 30 patients with mediastinal lymphadenopathy underwent diffusion weighted MRI. ADCs of lymph nodes were derived and constructed from b = 0 and b = 1000 sec/mm2 values by drawing regions of interests (ROI). Consequently, mediastinal nodes were studied, biopsies and histopathological analysis were done after MRI examination. The best cutoff point of ADC to differentiate benign from malignant lesions was 1.15 mm/sec (sensitivity 77%, specificity 92% and AUC 81.4%). Significant negative correlation of ADC by DW MRI and the size of the LNs. The mean ADC values in the lymphoma group was lower than in the sarcoidosis group, and the difference was statistically significant. The study supports that MRI with diffusion weighted images can differentiate benign from malignant mediastinal lymphadenopathy and differentiate lymphoma from sarcoidosis non-invasively.

Elastografía asociada a la ecografía endobronquial en el estudio de adenopatías hiliares y mediastínicas

IntroductionThe main objective was to analyze the technical variability of EBUS-elastography in the differentiation of benign and malignant hilar and mediastinal lymph nodes. As a secondary objective, the results of the EBUS-elastography in said differentiation were analyzed, comparing them with the anatomopathological results. Material and MethodsProspective and analytical study of lymph nodes in which EBUS-elastography was performed. Elastographic variables and their variability were analyzed. Results24 patients and 38 lymph nodes were evaluated. Of these, 60.5% had a history of neoplasia, 71% of them were EBUS-elastography with diagnostic intention, 53% were mediastinal staging of lung cancer. Both procedures were performed in 25% of the patients. Lymph nodes were classified into elastographic colour patterns, red being characteristic of elastic tissues and blue of rigid tissues. The lymphadenopathies with apredominantly blue pattern were associated with an anatomopathological result of malignancy (86% vs. 14%, OR 20.4 (3.1 -245.1) p-value = .00015). Malignant lymph nodes presented less colour dispersion in the frequency histograms and a higher ratio of blue pixels and higher strain ratio. These variables showed a variability of 8.7, 9.9 and 31.6% respectively in repetitions in the same adenopathy. Finally, a 66% of consistency was obtained in the event of colour pattern variability (p .0000). ConclusionsEBUS-elastography is feasible during EBUS and may be helpful in predicting malignant lymph node infiltration. The quantitative elastographic data show low variability in repetitions in the same adenopathy. The strain ratio is the most variable elastographic parameter.

Mediastinal lymph node malignancy detection in computed tomography images using fully convolutional network

Differential diagnosis of malignant and benign mediastinal lymph nodes (LNs) through invasive pathological tests is a complex and painful procedure because of sophisticated anatomical locations of LNs in the chest. The image based automatic machine learning techniques have been attempted in the past for malignancy detection. But these conventional methods suffer from complex selection of hand-crafted features and trade-off between performance parameters due to them. Today deep learning approaches are outperforming conventional machine learning techniques and able to overcome these issues. However, the existing convolutional neural network (CNN) based models also are prone to overfitting because of fully connected (FC) layers. Therefore, in this paper authors have proposed a fully convolutional network (FCN) based deep learning model for lymph nodes malignancy detection in computed tomography (CT) images. Moreover, the proposed FCN has been customized with batch normalization and advanced activation function Leaky ReLU to accelerate the training and to overcome the problem of dying ReLU, respectively. The performance of the proposed FCN has been also tuned to its best for smaller data size using data augmentation methods. The generalization of the proposed model is tested using the network parameter variation. To understand the reliability of the proposed model, it has also been compared with state-of-art related deep learning networks. The proposed FCN model has achieved an average accuracy, sensitivity, specificity, and area under curve as 90.28%, 90.63%, 89.95%, and 0.90, respectively. Our results also confirms the successful usabilility of augmentation methods for working on smaller datasets and deep learning approaches.

Endobronchial Ultrasoud Guided Transbronchial Needle Aspiration

Evaluation of mediastinal lymphadenopathy is often challenging. Endobronchial Ultrasound (EBUS) is a novel technique which provides real time sonographic guidance during Transbronchial Needle Aspiration (TBNA) from mediastinal and hilar lesions. A 60-year-old smoker presented with two months history of cough and chest pain on the right side. CT thorax revealed a right upper lobe spiculated mass with paratracheal (Station 4R) and subcarinal (Station 7) lymph nodes. Bronchoscopy did not reveal any endobronchial mass. Since EBUS-TBNA is superior to conventional TBNA for malignant mediastinal node, an EBUS- TBNA was performed from both lymph node stations. . Cytopathology and histopathology revealed non-small cell lung cancer. We hereby report the first use of EBUS-TBNA in Nepal, in a patient with lung cancer and mediastinallymphadenopathy.

Ultrasonographic characteristics of lymph nodes as predictors of malignancy during endobronchial ultrasound (EBUS): A systematic review

ObjectivesThe primary objective of this study is to systematically review all pertinent literature related to the use of ultrasonographic features to predict malignancy in mediastinal lymph nodes seen during endobronchial ultrasound (EBUS) procedures. Materials and MethodsTwo independent reviewers completed the search and review (PubMed, EMBASE, Medline, and Cochrane databases) of the resulting titles and abstracts. Following full-text screening, thirteen articles met the inclusion criteria. Heterogeneity prevented any meta-analysis, instead a narrative review was completed. Results from each included article are categorized by the following ultrasonographic features: shape, echogenicity, margin status, central necrosis, short axis length, and central hilar structure. Diagnostic tools are also described in detail. ResultsAbsence of a central hilar structure and heterogeneous echogenicity were often associated with malignancy; however, consensus was not achieved amongst the included articles. The remaining ultrasonographic features were not consistently associated with malignancy or benign disease status, suggesting a need for prospective analysis. Four diagnostic tools were also assessed. These tools demonstrate that a combination of ultrasonographic features may accurately predict lymph node malignancy rather than a single feature. ConclusionAnalysis of ultrasonographic features may prevent the need for repeat EBUS procedures when initial biopsy results are inconclusive. However, prospective external validation of these features is required to determine their true predictive capability. PROSPERO registration number: CRD42017068468.

Endobronchial Ultrasound Guided Transbronchial Needle Aspiration

Evaluation of mediastinal lymphadenopathy is often challenging. Endobronchial Ultrasound (EBUS) is a novel technique which provides real time sonographic guidance during Transbronchial Needle Aspiration (TBNA) from mediastinal and hilar lesions. A 60-year-old smoker presented with two months history of cough and chest pain on the right side. CT thorax revealed a right upper lobe spiculated mass with paratracheal (Station 4R) and subcarinal (Station 7) lymph nodes. Bronchoscopy did not reveal any endobronchial mass. Since EBUS-TBNA is superior to conventional TBNA for malignant mediastinal node, an EBUS- TBNA was performed from both lymph node stations. . Cytopathology and histopathology revealed non-small cell lung cancer. We hereby report the first use of EBUS-TBNA in Nepal, in a patient with lung cancer and mediastinal lymphadenopathy. Keywords: Endobronchial ultrasound; lung cancer; mediastinal lymph node; transbronchial needle aspiration.

Is SUVmax Helpful in the Differential Diagnosis of Enlarged Mediastinal Lymph Nodes? A Pilot Study.

Objective To explore the diagnostic value of maximum standard uptake value (SUVmax) from 18F-FDG PET/CT images in enlarged mediastinal lymph nodes of unknown etiology. Methods We performed a retrospective study of patients with enlarged mediastinal lymph nodes on 18F-FDG PET/CT scans. SUVmax and the short axis and long axis of lymph nodes were recorded. These parameters were compared among the five commonest causes of mediastinal lymphadenopathy: lymphoma, metastatic disease, sarcoidosis, tuberculosis, and lymphadenitis. Histopathologic diagnosis was recorded as the final golden standard. Results A total of 94 patients (62 men and 32 women; age range 7–85 y) were included with final diagnoses of 42 patients with benign pathology and 52 patients with malignancies. The sensitivity, specificity, and the accuracy of PET/CT in diagnosis of the benign and malignant mediastinal lymph nodes were 94.2%, 73.8%, and 85.1%, respectively. The SUVmax of benign and malignant groups were 13.10 ± 5.21 and 12.59 ± 5.50, respectively, which had no statistical difference (P > 0.05). However, the long axis and the short axis of lymph nodes in the benign and malignant groups were 2.86 ± 1.02 cm, 1.77 ± 0.60 cm and 6.04 ± 3.83 cm, 3.95 ± 2.08 cm, respectively (P < 0.05). The diagnostic values of PET/CT were higher than those of the long or short axis. However, the specificity of PET/CT was lower (73.8%) than that from the long or short axis (90.5% and 92.9%, respectively), although no statistical difference existed. Among the five common causes of mediastinal lymphadenopathy, significant differences could be seen in SUVmax and in the long axis and the short axis of lymph nodes (P < 0.05). Conclusions SUVmax, a commonly used semiquantitative measurement, was not helpful for differentiation between benign and malignant lesions in patients with enlarged mediastinal lymph nodes in this study. Many benign lesions, such as sarcoidosis and tuberculosis, had high FDG uptake, possibly a trend that the size of the lymph nodes seems to have some diagnostic value.

Differentiating malignant and benign lymph nodes using endobronchial ultrasound elastography.

Endobronchial ultrasound (EBUS) elastography is a new technique that provides information on tissue compressibility during endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA). The purposes of this study were to evaluate the utility of EBUS elastography in differentiating malignant and benign mediastinal lymph nodes (LNs) and to explore the factors that influence its accuracy. A retrospective chart review of patients who underwent EBUS-TBNA from October 2016 to July 2017 was performed. EBUS with conventional B-mode features and elastographic patterns were compared with the final pathology results or clinical follow-up. We used the following EBUS elastographic patterns for classification: type 1, predominantly non-blue (green, yellow and red); type 2, part blue, part non-blue; type 3, predominantly blue. The potential impacts of the characteristics of LNs, the underlying lung diseases and obtaining fibrotic components from EBUS-TBNA specimens were evaluated relative to the accuracy of EBUS elastography. A total of 206 LNs from 94 patients were retrospectively evaluated. In classifying type 1 as 'benign' and type 3 as 'malignant,' the sensitivity, specificity, positive predictive value, negative predictive value and diagnostic accuracy rate were 90.6, 82.6, 71.6, 94.7 and 85.2%, respectively. The EBUS elastographic patterns had higher diagnostic yields and negative predictive values than conventional B-mode features. Logistic regression analysis revealed that central necrosis was a factor that influenced the accuracy of elastography in malignant LNs. The fibrotic component within benign LNs could cause an incorrect elastographic pattern. EBUS elastography is a valuable tool in discriminating benign and malignant mediastinal LNs.

The effect of 19-gauge endobronchial ultrasound-guided transbronchial needle aspiration biopsies on characterisation of malignant and benign disease. The Bristol experience.

EBUS-TBNA is a recent mediastinal staging and diagnostic technique. We have previously reported superior characterisation with 21G biopsies over 22G biopsies for benign and malignant mediastinal nodes. A new 19G needle now exists but there are limited studies. We hypothesised 19G biopsies would improve both benign and malignant characterisation due to larger samples. We retrospectively analysed sequential patients referred for EBUS-TBNA with unexplained mediastinal adenopathy performed with 19G, 21G and 22G needles respectively (100 patients each). Contingency table analysis was performed. There were no complications. Sensitivity for malignancy was highest in the 19G group (95.7% versus 94.7% and 87.5%, respectively). The 19G group had higher mean lymph node size (19.4mm versus 18.6mm and 13.5mm, respectively), the highest proportion of lymphoma (9% versus 5% and 0%, respectively), the lowest proportion of NSCLC-NOS (2% versus 12% and 5%, respectively), the highest proportion of subcharacterised benign disease (89.6% versus 69.8% and 37.9%, respectively). This large single centre retrospective UK study suggests the 19G needle appears safe with the suggestion of better sensitivity for malignancy subcharacterisation of benign disease but this requires further study in adequately powered comparative controlled studies with univariate and multivariate analysis.

Discrimination of Malignant versus Benign Mediastinal Lymph Nodes Using Diffusion MRI with an IVIM Model.

To investigate the value of an intravoxel incoherent motion (IVIM) diffusion model for discriminating malignant versus benign mediastinal lymph nodes (MLN). Thirty-five subjects with enlarged MLN were scanned at 1.5 Tesla. Diffusion-weighted imaging was performed with eight b-values. IVIM parameters D, D*, and f, as well as apparent diffusion coefficient (ADC) from a mono-exponential model were obtained. 91 nodes (49 malignant and 42 benign) were analysed with pathologic (n=90) or radiologic (n=1) confirmations. Receiver operating characteristic (ROC) analysis was used to evaluate the diagnostic performance. The mean values of D, ADC, and f for the malignant group were significantly lower than those for the benign group (p<0.001), while D* showed no significant difference (p=0.281). In the ROC analysis, the combination of D and f produced the largest area under the curve (0.953) compared to ADC or other individual IVIM parameters, leading to the best specificity (92.9%) and diagnostic accuracy (90.1%). This study demonstrates that the combination of IVIM parameters can improve differentiation between malignant and benign MLN as compared to using ADC alone. • Diffusion MRI is useful for non-invasively discriminating malignant versus benign lymph nodes. • A mono-exponential model is not adequate to characterise diffusion process in lymph nodes. • IVIM model is advantageous over mono-exponential model for assessing lymph node malignancy. • Combination of IVIM parameters improves differentiation of malignant versus benign lymph nodes.

The role of endobronchial ultrasound elastography in the diagnosis of mediastinal and hilar lymph nodes.

Endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) has been widely used for diagnosis and mediastinal lymph nodes staging in patients with suspicious lung cancer. Ultrasound elastography is a novel sonographical technique that can evaluate tissue compressibility. The aim of the present study was to investigate the diagnostic yield of elastography for differentiating malignant and benign mediastinal lymph nodes. Conventional EBUS B-mode features, including size, shape, border distinction, echogenicity, central hilar structure with central blood vessel and coagulation necrosis were also evaluated. The ultrasonic features were compared with the pathological results from EBUS-TBNA. 133 lymph nodes in 60 patients were assessed. Elastography displayed the highest area under the curve (AUC) (type 3 versus type 1: AUC, 0.825; 95% confidence interval [CI], 0.707-0.910) with an impressive sensitivity (100%) and an acceptable specificity (65%). The combined model covering the four positive criteria (elastography, heterogeneity, size, and shape) showed that the odds ratio for malignance is 9.44 with a 95% CI of 3.99 to 22.32 (p <0.0001). The combined model was superior to elastography alone (AUC, 0.851; sensitivity, 89.89%; specificity, 72.73%; p <0.0001). This prospective study showed that elastography is a feasible technique for classifying mediastinal lymph nodes, especially in combination with conventional EBUS imaging.

Endobronchial Ultrasound Elastography for Evaluation of Intrathoracic Lymph Nodes: A Pilot Study

Background: Endobronchial ultrasound (EBUS) elastography is a new imaging procedure for describing the elasticity of intrathoracic lesions and providing important additional diagnostic information. Objectives: The aim of this study was to utilize the feasibility of qualitative and quantitative methods to evaluate the ability of EBUS elastography to differentiate between benign and malignant mediastinal and hilar lymph nodes (LNs) during EBUS-guided transbronchial needle aspiration (EBUS-TBNA). Methods: Patients with enlarged intrathoracic LNs required for EBUS-TBNA examination at a clinical center for thoracic medicine from January 2014 to April 2014 were prospectively enrolled. EBUS sonographic characteristics on B-mode, vascular patterns and elastography, EBUS-TBNA procedures, pathological findings, and microbiological results were recorded. Furthermore, elastographic patterns (qualitative method) and the mean gray value inside the region of interest (quantitative method) were analyzed. Both methods were compared with a definitive diagnosis of the involved LNs. Results: Fifty-six patients including 68 LNs (33 benign and 35 malignant nodes) were prospectively enrolled into this study and retrospectively analyzed. Using qualitative and quantitative methods, we were able to differentiate between benign and malignant LNs with high sensitivity, specificity, positive and negative predictive values, and accuracy (85.71, 81.82, 83.33, 84.38, and 83.82% vs. 91.43, 72.73, 78.05, 88.89, and 82.35%, respectively). Conclusions: EBUS elastography is potentially capable of further differentiating between benign and malignant LNs. These proposed qualitative and quantitative methods might be useful tools for describing EBUS elastography during EBUS-TBNA.

Texture Analysis and Synthesis of Malignant and Benign Mediastinal Lymph Nodes in Patients with Lung Cancer on Computed Tomography

Texture analysis of computed tomography (CT) imaging has been found useful to distinguish subtle differences, which are in- visible to human eyes, between malignant and benign tissues in cancer patients. This study implemented two complementary methods of texture analysis, known as the gray-level co-occurrence matrix (GLCM) and the experimental semivariogram (SV) with an aim to improve the predictive value of evaluating mediastinal lymph nodes in lung cancer. The GLCM was explored with the use of a rich set of its derived features, whereas the SV feature was extracted on real and synthesized CT samples of benign and malignant lymph nodes. A distinct advantage of the computer methodology presented herein is the alleviation of the need for an automated precise segmentation of the lymph nodes. Using the logistic regression model, a sensitivity of 75%, specificity of 90%, and area under curve of 0.89 were obtained in the test population. A tenfold cross-validation of 70% accuracy of classifying between benign and malignant lymph nodes was obtained using the support vector machines as a pattern classifier. These results are higher than those recently reported in literature with similar studies.

Ratio of lymph node to primary tumor SUVmax multiplied by maximal tumor diameter on positron emission tomography/integrated computed tomography may be a predictor of mediastinal lymph node malignancy in lung cancer.

Positron emission tomography/integrated computed tomography (PET/CT) provides the most accurate imaging modality for preoperative lung cancer staging. However, the diagnostic accuracy of maximum standardized uptake value (SUVmax) for mediastinal (N2) lymph nodes (LN) is unclear. We compared SUVmax, the ratio of LN to primary tumor SUVmax (SUVn/t), and SUVn/t multiplied by maximal tumor diameter (SUVindex) in terms of their abilities to predict mediastinal LN malignancy.We retrospectively analyzed 170 mediastinal LN stations from 73 consecutive patients who underwent systemic LN resection and PET/CT within 27 days. The SUVmax of the primary tumors was >2.0 and the SUVmax of the mediastinal LN stations ranged from 2.0 to 7.0 on PET/CT. Receiver-operating characteristic curves (ROCs) of SUVmax, SUVn/t, and SUVindex were calculated separately and the areas under the curves (AUCs) were used to assess the abilities of the parameters to predict LN malignancy. The optimal cutoff values were calculated from each ROC curve and the diagnostic abilities were also compared. The diagnostic accuracies of the 3 methods were also assessed separately in smoking and nonsmoking patients.Twenty-eight LN stations were malignancy-positive and the remaining 142 were malignancy-negative. The AUCs for SUVindex, SUVn/t, and SUVmax were 0.709, 0.590, and 0.673, respectively, and the optimal cutoff values for SUVindex, SUVn/t, and SUVmax were 1.11, 0.34, and 3.6, respectively. The differences between SUVindex and SUVn/t were significant, but there was no significant difference between SUVindex and SUVmax. There were no significant differences between smokers and nonsmokers in the AUCs for any of the methods for predicting LN malignancy (P values >0.05).SUVindex may be a predictor of mediastinal LN malignancy in lung cancer patients.

Value of endobronchial ultrasound-guided transbronchial needle aspiration in diagnosis of the mediastinal enlarged lymph nodes

Objective: To investigate the value of the endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) in diagnosing mediastinal enlarged lymph nodes. Methods: A total of 210 patients with mediastinal enlarged lymph nodes from the First Affiliated Hospital of Zhengzhou University from 2014 July to 2015 October were enrolled for EBUS-TBNA. Endobronchial ultrasound (EBUS) imaging features, including lymph node short diameter, the ratio of longitudinal to transverse diameter, the blood flow and morphology destroy, in benign and malignant lymph nodes were evaluated separately and their relationships with the rate of malignant lymph nodes were also analyzed. The significant variables according to single factor analysis were brought into the Logistic multivariate analysis, which investigated the risk factors of malignant lymph nodes. The best cut-off point of the short diameter of lymph nodes was analyzed by receiver operating characteristic curve (ROC). The sensitivity, specificity and accuracy of EBUS-TBNA in the diagnosis of malignant lymph nodes were analyzed by the standard calculation formula. Results: The sensitivity, specificity, accuracy rate of EBUS-TBNA diagnosing lung cancer and other tumor with mediastinal lymph node metastasis were 91.2%, 100%, 93.8%. The rates of malignant in lymph node with short diameter ≥1.0 cm, ratio of longitudinal to transverse diameter<1.5, blood flow distribution Ⅱ-Ⅲ, morphology destroy by the EBUS measurement were higher than those in the lymph node with short diameter<1.0 cm, ratio of longitudinal to transverse diameter ≥ 1.5, the blood flow distribution 0-Ⅰ, without morphology destroy (79.8%, 77.8%, 84.7%, 76.7% vs 37.7%, 44.6%, 42.9%, 42.9%), and the four factors were independent risk factors for malignant lymph nodes (all P<0.001). The ROC curve indicated the optimal cut-off point of short diameter was 8.2 mm. The accuracy of diagnosis by the combination of the above 4 ultrasound features, those were the lymph node short diameter not less than 1 cm, the ratio of longitudinal to transverse diameter less than 1.5, the blood flow distribution Ⅱ-Ⅲ and morphology destroy, was higher than those of the single factor (89.3% vs 74.7%, 67.9%, 67.8%, 67.5%) (all P<0.001). Conclusion: EBUS-TBNA has satisfying value in diagnosing malignant mediastinal enlarged lymph nodes.

The sonographic features of malignant mediastinal lymph nodes and a proposal for an algorithmic approach for sampling during endobronchial ultrasound.

There are several papers on the sonographic features of mediastinal lymph nodes affected by several diseases, but none gives the importance and clinical utility of the features. In order to find out which lymph node should be sampled in a particular nodal station during endobronchial ultrasound, we investigated the diagnostic performances of certain sonographic features and proposed an algorithmic approach. We retrospectively analyzed 1051 lymph nodes and randomly assigned them into a preliminary experimental and a secondary study group. The diagnostic performances of the sonographic features (gray scale, echogeneity, shape, size, margin, presence of necrosis, presence of calcification and absence of central hilar structure) were calculated, and an algorithm for lymph node sampling was obtained with decision tree analysis in the experimental group. Later, a modified algorithm was applied to the patients in the study group to give the accuracy. The demographic characteristics of the patients were not statistically significant between the primary and the secondary groups. All of the features were discriminative between malignant and benign diseases. The modified algorithm sensitivity, specificity, and positive and negative predictive values and diagnostic accuracy for detecting metastatic lymph nodes were 100%, 51.2%, 50.6%, 100% and 67.5%, respectively. In this retrospective analysis, the standardized sonographic classification system and the proposed algorithm performed well in choosing the node that should be sampled in a particular station during endobronchial ultrasound.

A Cause of Bilateral Chylothorax: A Case of Mesothelioma without Pleural Involvement during Initial Diagnosis.

Chylothorax is characterized by fluid accumulation in the pleural cavity containing chylomicrons due to disruption of lymphatic drainage in the thoracic ductus and development of chylothorax. A 60-year-old male patient presented to our clinic with shortness of breath and displayed bilateral pleural effusion and diffuse mediastinal lymph nodes in his computed chest tomography images. There were no thickening and nodular formation on the pleural surfaces. PET-CT showed no pathological FDG uptake. Thoracentesis showed a chylous effusion. Drainage reduced during monitoring could not be stopped; therefore, surgical intervention was considered. The patient underwent right thoracotomy. There were no pathological findings in the parietal and visceral pleura during the surgery. Initially lymphoma was considered. Perioperative samples were collected from the mediastinal lymph node. The pathology analysis reported metastasis of malignant mesothelioma. Evaluation of a repeated chest computed tomography showed nodular formations on the pleural surfaces. Mediastinal lymph nodes compressed the ductus thoracicus, resulting with chylothorax. The present case, with malignant mesothelioma, bilateral chylothorax, and mediastinal lymph node without any pleural involvement during initial diagnosis, is rare and will hence contribute to the literature.