Secretary leukocyte peptide inhibitor (SLPI) in pleural fluid is useful as a diagnostic marker of malignant pleural mesothelioma.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e23098-e23098
Author(s):  
Nobukazu Fujimoto ◽  
Yoko Kojima ◽  
Takumi Kishimoto
Keyword(s):  
Pleural Fluid ◽  
Malignant Pleural Mesothelioma ◽  
Roc Analysis ◽  
Diagnostic Marker ◽  
Area Under The Curve ◽  
Peptide Inhibitor ◽  
Pleural Mesothelioma ◽  
Exploratory Research ◽  
Operating Characteristics ◽  
Auc Value

e23098 Background: There is no established diagnostic marker for malignant pleural mesothelioma (MPM). In particular, the differentiation from benign asbestos pleural effusion (BAPE) is challenging. Secretary leukocyte peptide inhibitor (SLPI) is an enzyme encoded by SLPI gene. SLPI gene is reported to be overexpressed in MPM cells. Methods: SLPI in pleural fluid was determined using Quantikine ELISA Human SLPI kit (R&D Systems). Results: Exploratory research revealed that SLPI value in pleural fluid of patients with MPM (n = 52) were significantly higher than those in lung cancer (LC) (n = 69) and BAPE (n = 50) ( P= 0.000). Prospective validation study included 12 pts of MPM, 24 pts of LC, 26 pts of BAPE. Median values of SLPI in MPM, LC, and BAPE were 159 .6 ng/ml, 90.5 ng/ml, and 43.2 ng/ml, respectively. SLPI value in patients with MPM were significantly higher than those in other groups ( P= 0.000). Receiver operating characteristics ROC) analysis was performed to examine the usefulness of differentiation of MPM and other diseases, and demonstrated that area under the curve (AUC) value was 0.758. With the cut of value of 88.6 ng/ml, the sensitivity was 83.3% and the specificity was 59.8%. Concerning the differentiation between MPM and BAPE, AUC value was 0.904 and with the cut of value of 81.8 ng/ml, the sensitivity was 83.3% and the specificity was 92.3%. Conclusions: Pleural fluid SLPI is a useful biomarker for the diagnosis of MPM, in particular, for the differentiation from BAPE.

scholarly journals P3.03-047 Diagnostic Value of Secretary Leukocyte Peptide Inhibitor (SLPI) in Pleural Fluid in Malignant Pleural Mesothelioma

2017 ◽  
Vol 12 (1) ◽  
pp. S1374-S1375
Author(s):  
Nobukazu Fujimoto ◽  
Kenji Takada ◽  
Yosuke Miyamoto ◽  
Michiko Asano ◽  
Yasuko Fuchimoto ◽  
...  
Keyword(s):  
Pleural Fluid ◽  
Malignant Pleural Mesothelioma ◽  
Diagnostic Value ◽  
Peptide Inhibitor ◽  
Pleural Mesothelioma

Soluble Mesothelin-Related Peptide in the Pleural Fluid as a Diagnostic Marker in Malignant Pleural Mesothelioma

CHEST Journal ◽  
2012 ◽  
Vol 142 (4) ◽  
pp. 494A
Author(s):  
Anna Maria Carletti ◽  
Massimiliano Sivori ◽  
Paola Ferro ◽  
Enrico Battolla ◽  
Maria Franceschini ◽  
...  
Keyword(s):  
Pleural Fluid ◽  
Malignant Pleural Mesothelioma ◽  
Diagnostic Marker ◽  
Pleural Mesothelioma ◽  
Related Peptide

Diagnostic utility of BAP1 for malignant pleural mesothelioma in pleural fluid specimens with atypical morphology

Cytopathology ◽  
2021 ◽  
Author(s):  
Amber Louw ◽  
YC Gary Lee ◽  
Nathan Acott ◽  
Jenette Creaney ◽  
Chris Van Vliet ◽  
...  
Keyword(s):  
Pleural Fluid ◽  
Malignant Pleural Mesothelioma ◽  
Pleural Mesothelioma ◽  
Diagnostic Utility

scholarly journals P3.03-034 Comprehensive Immunophenotyping of the Blood and Pleural Fluid from Patients with Malignant Pleural Mesothelioma by Flow Cytometry

2017 ◽  
Vol 12 (1) ◽  
pp. S1365-S1366
Author(s):  
Tobias Peikert ◽  
Virginia Van Keulen ◽  
Svetlana Bornschlegl ◽  
Allen Dietz ◽  
Mike Gustafson
Keyword(s):  
Flow Cytometry ◽  
Pleural Fluid ◽  
Malignant Pleural Mesothelioma ◽  
Pleural Mesothelioma

Intrapleural cisplatin and mitomycin for malignant mesothelioma following pleurectomy: pharmacokinetic studies.

1992 ◽  
Vol 10 (6) ◽  
pp. 1001-1006 ◽  
Author(s):  
V W Rusch ◽  
D Niedzwiecki ◽  
Y Tao ◽  
C Menendez-Botet ◽  
A Dnistrian ◽  
...  
Keyword(s):  
Pleural Fluid ◽  
Malignant Pleural Mesothelioma ◽  
Plasma Levels ◽  
Peak Plasma ◽  
Systemic Absorption ◽  
Pharmacokinetic Studies ◽  
Logarithmic Scale ◽  
Pleural Mesothelioma ◽  
Intrapleural Chemotherapy ◽  
The Mean

PURPOSE Intrapleural cisplatin-based chemotherapy has been used in the treatment of patients with malignant pleural mesothelioma and malignant pleural effusions, but the pharmacokinetics of this form of chemotherapy have not been previously evaluated. We performed pharmacokinetic studies on 12 patients who received both intrapleural cisplatin and mitomycin immediately following pleurectomy/decortication for malignant pleural mesothelioma. PATIENTS AND METHODS Simultaneous pleural fluid and plasma samples were collected at 15 and 30 minutes, and at 1, 2, 3, 4, and 24 hours after administration of the intrapleural chemotherapy (cisplatin 100 mg/m2 and mitomycin 8 mg/m2), and after cisplatin (total and free) and mitomycin levels were measured. The mean peak levels, the areas under the concentration-time curve (AUC) and the drug half-lives (t1/2s) in plasma and pleural fluid were compared using the paired t test. Differences were considered significant if P less than or equal to .05. RESULTS Systemic absorption was rapid, with peak plasma levels being reached within 1 hour of administration of the intrapleural chemotherapy. Peak plasma levels measured after intrapleural chemotherapy approximated those reportedly attained during systemic administration of these drugs at similar doses. However, the mean peak cisplatin and mitomycin levels, and their mean AUCs, were significantly higher in the pleural fluid than in the plasma. There was a three- to fivefold advantage (on a logarithmic scale) for pleural to plasma AUCs for both cisplatin and mitomycin. The mean t1/2s for cisplatin and mitomycin were significantly longer in the plasma than in the pleural fluid. CONCLUSIONS The pharmacokinetics of intrapleural cisplatin-based chemotherapy are analogous to those of intraperitoneal chemotherapy. Our findings show that intrapleural cisplatin-based chemotherapy has a distinct local pharmacologic advantage, but also produces significant and sustained drug plasma levels.

scholarly journals Predictive value of relative fat mass algorithm for incident hypertension: a 6-year prospective study in Chinese population

BMJ Open ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. e038420
Author(s):  
Peng Yu ◽  
Teng Huang ◽  
Senlin Hu ◽  
Xuefeng Yu
Keyword(s):  
Prospective Study ◽  
Fat Mass ◽  
Chinese Population ◽  
Predictive Power ◽  
Roc Analysis ◽  
Statistical Significance ◽  
Area Under The Curve ◽  
Predictive Ability ◽  
Incident Hypertension ◽  
Auc Value

ObjectivesIndividuals with obesity especially excessive visceral adiposity have high risk for incident hypertension. Recently, a new algorithm named relative fat mass (RFM) was introduced to define obesity. Our aim was to investigate whether it can predict hypertension in Chinese population and to compare its predictive power with traditional indices including body mass index (BMI), waist circumference (WC) and waist-to-height ratio (WHtR).DesignA 6-year prospective study.SettingNine provinces (Hei Long Jiang, Liao Ning, Jiang Su, Shan Dong, He Nan, Hu Bei, Hu Nan, Guang Xi and Gui Zhou) in China.ParticipantsThose without hypertension in 2009 survey and respond in 2015 survey.InterventionLogistic regression were performed to investigate the association between RFM and incident hypertension. Receiver operating characteristic (ROC) analysis was performed to compare the predictive ability of these indices and define their optimal cut-off values.Main outcome measuresIncident hypertension in 2015.ResultsThe prevalence of incident hypertension in 2015 based on RFM quartiles were 14.8%, 21.2%, 26.8% and 35.2%, respectively (p for trend <0.001). In overall population, the OR for the highest quartile compared with the lowest quartile for RFM was 2.032 (1.567–2.634) in the fully adjusted model. In ROC analysis, RFM and WHtR had the highest area under the curve (AUC) value in both sexes but did not show statistical significance when compared with AUC value of BMI and WC in men and AUC value of WC in women. The performance of the prediction model based on RFM was comparable to that of BMI, WC or WHtR.ConclusionsRFM can be a powerful indictor for predicting incident hypertension in Chinese population, but it does not show superiority over BMI, WC and WHtR in predictive power.

scholarly journals Fukuda Stepping Test: Sensitivity and Specificity

2009 ◽  
Vol 20 (05) ◽  
pp. 311-314 ◽  
Author(s):  
Julie A. Honaker ◽  
Thomas E. Boismier ◽  
Nathan P. Shepard ◽  
Neil T. Shepard
Keyword(s):  
Sensitivity And Specificity ◽  
Roc Analysis ◽  
Screening Tool ◽  
Area Under The Curve ◽  
Future Research ◽  
Operating Characteristics ◽  
Caloric Irrigation ◽  
Test Sensitivity ◽  
Unilateral Weakness ◽  
Vestibular Asymmetry

Background: A vestibulospinal test known as the Fukuda stepping test (FST) has been suggested to be a measure of asymmetrical labyrinthine function. However, an extensive review of the performance of this test to identify a peripheral vestibular lesion has not been reported. Purpose: The purpose of this study was to evaluate the sensitivity and specificity of the standard FST and a head shaking variation for identification of a peripheral vestibular system lesion. Research Design: In this retrospective review, we compared performance on the FST with and without a head shaking component to electronystagmography (ENG) caloric irrigation unilateral weakness results. Study Sample: We studied these factors in 736 chronic dizzy patients. Results: Receiving operating characteristics (ROC) analysis and area under the curve (AUC) indicated no significant benefit to performance from the head shaking variation compared to the standard FST in identifying labyrinthine weakness as classified by caloric unilateral weakness results. Conclusions: These findings suggest that the FST with and without head shake component is not a reliable screening tool for peripheral vestibular asymmetry in chronic dizzy patients; however, future research may hold promise for the FST as a tool for patients with acute unilateral disorders.

PREDICTING SOFTWARE CHANGE IN AN OPEN SOURCE SOFTWARE USING MACHINE LEARNING ALGORITHMS

2013 ◽  
Vol 20 (06) ◽  
pp. 1350025
Author(s):  
RUCHIKA MALHOTRA ◽  
ANKITA JAIN BANSAL
Keyword(s):  
Machine Learning ◽  
Open Source ◽  
Open Source Software ◽  
Roc Analysis ◽  
Area Under The Curve ◽  
Machine Learning Algorithms ◽  
Operating Characteristics ◽  
Preventive Actions ◽  
Change Proneness ◽  
The Relationship

Due to various reasons such as ever increasing demands of the customer or change in the environment or detection of a bug, changes are incorporated in a software. This results in multiple versions or evolving nature of a software. Identification of parts of a software that are more prone to changes than others is one of the important activities. Identifying change prone classes will help developers to take focused and timely preventive actions on the classes of the software with similar characteristics in the future releases. In this paper, we have studied the relationship between various object oriented (OO) metrics and change proneness. We collected a set of OO metrics and change data of each class that appeared in two versions of an open source dataset, 'Java TreeView', i.e., version 1.1.6 and version 1.0.3. Besides this, we have also predicted various models that can be used to identify change prone classes, using machine learning and statistical techniques and then compared their performance. The results are analyzed using Area Under the Curve (AUC) obtained from Receiver Operating Characteristics (ROC) analysis. The results show that the models predicted using both machine learning and statistical methods demonstrate good performance in terms of predicting change prone classes. Based on the results, it is reasonable to claim that quality models have a significant relevance with OO metrics and hence can be used by researchers for early prediction of change prone classes.

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