scholarly journals Application of Scheimpflug-Based Biomechanical Analyzer and Tomography in Early Detecting of Subclinical Keratoconus in Chinese Patients

2020 ◽  
Author(s):  
Yan Liu ◽  
Yu Zhang ◽  
Yue-guo Chen
Keyword(s):  
Sensitivity And Specificity ◽  
Area Under The Curve ◽  
High Sensitivity ◽  
Roc Curves ◽  
Chinese Patients ◽  
Youden Index ◽  
Biomechanical Property ◽  
Surgical Safety ◽  
Morphological Index ◽  
Diagnostic Capacity

Abstract PurposeTo evaluate the value of Scheimpflug-based biomechanical analyzer combined with tomography in detecting early keratoconus by distinguishing normal eyes from frank keratoconus (KC) and forme frusta keratoconus (FFKC) eyes in Chinese patients. MethodsThis study included 31 bilateral frank keratoconus patients, 27 unilateral clinical manifest keratoconus patients with very asymmetric eyes, and 79 control subjects with normal corneas. Corneal morphological and biomechanical parameters were measured using the Pentacam HR and Corvis ST (OCULUS, Wetzlar, Germany). The diagnostic capacity of computed parameters reflecting corneal biomechanical and morphological traits [including Belin-Ambrósio deviation index (BAD_D), Corvis biomechanical index (CBI) and tomographic and biomechanical index (TBI)] was determined using receiver operating characteristic (ROC) curves and compared by DeLong test. Additionally, the area under the curve (AUC), the best cutoff values, and Youden index for each parameter were reported. The novel corneal stiffness parameter (Stress-Strain Index or SSI) was also compared between KC, FFKC and normal eyes.ResultsEvery morphological and biomechanical index analyzed in this study was significantly different between KC, FFKC and normal eyes (p=0.000). TBI was most valuable for detecting subclinical keratoconus (FFKC eyes) with an AUC of 0.928 (P=0.000), and any forms of corneal ectasia (FFKC and frank KC eyes) with an AUC of 0.966 (P=0.000). The sensitivity and specificity of TBI for detecting FFKC was 97.5% and 77.8%, for detecting any KC was 97.5% and 89.7%, with a cut-off value of 0.375. Morphological index BAD_D and biomechanical index CBI were also very useful in distinguishing any KC eyes from normal eyes with an AUC of 0.965 and 0.934, respectively. SSI was significantly different between KC, FFKC and normal eyes (P=0.000), indicating an independent decrease in corneal stiffness in KC eyes.Conclusion Combination of Scheimpflug-based biomechanical analyzer and tomography could increase the accuracy of detecting early keratoconus in Chinese patients. TBI was the most valuable index for detecting subclinical keratoconus with high sensitivity and specificity. Evaluation of corneal biomechanical property in refractive surgery candidates is helpful to recognize potential keratoconic eyes and increase surgical safety.

scholarly journals Application of a scheimpflug-based biomechanical analyser and tomography in the early detection of subclinical keratoconus in chinese patients

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yan Liu ◽  
Yu Zhang ◽  
Yueguo Chen
Keyword(s):  
Sensitivity And Specificity ◽  
Area Under The Curve ◽  
High Sensitivity ◽  
Biomechanical Properties ◽  
Chinese Patients ◽  
Youden Index ◽  
Roc Curve Analysis ◽  
Surgical Safety ◽  
Morphological Index

Abstract Background In vivo corneal biomechanics evaluation has been used to help screen early keratoconus in recent years. This study is to evaluate the value of a Scheimpflug-based biomechanical analyser combined with tomography in detecting subclinical keratoconus by distinguishing normal eyes from frank keratoconus (KC) and forme frusta keratoconus (FFKC) eyes in Chinese patients. Methods Study design: diagnostic test. This study included 31 bilateral frank keratoconus patients, 27 unilateral clinically manifesting keratoconus patients with very asymmetric eyes, and 79 control subjects with normal corneas. Corneal morphological and biomechanical parameters were measured using a Pentacam HR and a Corvis ST (OCULUS, Wetzlar, Germany). The diagnostic ability of computed parameters reflecting corneal biomechanical and morphological traits [including the Belin-Ambrósio deviation index (BAD_D), the Corvis biomechanical index (CBI) and the tomographic and biomechanical index (TBI)] was determined using receiver operating characteristic (ROC) curve analysis and compared by the DeLong test. Additionally, the area under the curve (AUC), the best cut-off values, and the Youden index for each parameter were reported. A novel corneal stiffness parameter, the stress-strain index (SSI), was also compared between KC, FFKC and normal eyes. Results Every morphological and biomechanical index analysed in this study was significantly different among KC, FFKC and normal eyes (P = 0.000). The TBI was most valuable in detecting subclinical keratoconus (FFKC eyes), with an AUC of 0.928 (P = 0.000), and both forms of corneal ectasia (FFKC and frank KC eyes), with an AUC of 0.966 (P = 0.000). The sensitivity and specificity of the TBI was 97.5 and 77.8 % in detecting FFKC and 97.5 and 89.7 % in detecting any KC, respectively, with a cut-off value of 0.375. The morphological index BAD_D and the biomechanical index CBI were also very useful in distinguishing eyes with any KC from normal eyes, with AUCs of 0.965 and 0.934, respectively. The SSI was significantly different between KC, FFKC and normal eyes (P = 0.000), indicating an independent decrease in corneal stiffness in KC eyes. Conclusions The combination of a Scheimpflug-based biomechanical analyser and tomography could increase the accuracy in detecting subclinical keratoconus in Chinese patients. The TBI was the most valuable index for detecting subclinical keratoconus, with a high sensitivity and specificity. Evaluation of corneal biomechanical properties in refractive surgery candidates could be helpful for recognizing potential keratoconic eyes and increasing surgical safety.

scholarly journals Significance of CAVI, hs-CRP and Homocysteine in subclinical arteriosclerosis among a healthy population in China

2013 ◽  
Vol 36 (2) ◽  
pp. 81 ◽  
Author(s):  
Jinpeng Zhong ◽  
Yonghong Wang ◽  
Xiaoling Wang ◽  
Fengzeng Li ◽  
Yulei Hou ◽  
...  
Keyword(s):  
Predictive Value ◽  
Area Under The Curve ◽  
High Sensitivity ◽  
Intima Media Thickness ◽  
Roc Curves ◽  
Carotid Intima Media Thickness ◽  
Youden Index ◽  
Healthy Population ◽  
Hs Crp ◽  
Sensitivity Specificity

Purpose: The purpose of this study is to evaluate the ability of cardio-ankle vascular index (CAVI), high-sensitivity C-reactive protein (hs-CRP) levels and homocysteine (Hcy) levels to screen for subclinical arteriosclerosis (subAs) in an apparently healthy population, with the view to obtaining an optimal diagnostic marker or profile for subAs. Methods: Subjects (152) undergoing routine health examinations were recruited and divided into two groups: carotid arteriosclerosis (CA) and non-carotid arteriosclerosis (NCA), according to carotid intima-media thickness (CMIT). CAVI was calculated based on blood pressure and pulse wave velocity. Serum hs-CRP and Hcy levels were also measured. A Receiver Operating Characteristic (ROC) curve was plotted to evaluate the efficacy of each in carotid arteriosclerosis screening. Ten parameter combinations, designated W1 to W10, were compared in terms of sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV). Results: The levels of all three parameters were significantly higher in the CA group, compared with the NCA group. ROC curves showed that the area under the curve (AUC) for CAVI was 0.708 (95%CI: 0.615-0.800), which is significantly larger than that of either hs-CRP (0.622) or Hcy (0.630), respectively (P < 0.001). Maximum sensitivity (100%) and NPV (100%) were attained with W10, while maximum specificity (86.2%) and PPV (46.7%) were obtained with W7. With W9, the maximum Youden index (0.416) was obtained, with a sensitivity of 77.8% and specificity of 63.8%. Conclusions: CAVI is more effective than hs-CRP or Hcy for subAs screening. The optimal profile was obtained with a combination of CAVI and other parameters.

scholarly journals Deep learning for accurately recognizing common causes of shoulder pain on radiographs

2021 ◽  
Author(s):  
Nils F. Grauhan ◽  
Stefan M. Niehues ◽  
Robert A. Gaudin ◽  
Sarah Keller ◽  
Janis L. Vahldiek ◽  
...  
Keyword(s):  
Shoulder Pain ◽  
Sensitivity And Specificity ◽  
Area Under The Curve ◽  
Roc Curves ◽  
Clinical Situation ◽  
Assistive Device ◽  
Test Dataset ◽  
Joint Dislocation ◽  
Independent Expert ◽  
Common Causes

Abstract Objective Training a convolutional neural network (CNN) to detect the most common causes of shoulder pain on plain radiographs and to assess its potential value in serving as an assistive device to physicians. Materials and methods We used a CNN of the ResNet-50 architecture which was trained on 2700 shoulder radiographs from clinical practice of multiple institutions. All radiographs were reviewed and labeled for six findings: proximal humeral fractures, joint dislocation, periarticular calcification, osteoarthritis, osteosynthesis, and joint endoprosthesis. The trained model was then evaluated on a separate test dataset, which was previously annotated by three independent expert radiologists. Both the training and the test datasets included radiographs of highly variable image quality to reflect the clinical situation and to foster robustness of the CNN. Performance of the model was evaluated using receiver operating characteristic (ROC) curves, the thereof derived AUC as well as sensitivity and specificity. Results The developed CNN demonstrated a high accuracy with an area under the curve (AUC) of 0.871 for detecting fractures, 0.896 for joint dislocation, 0.945 for osteoarthritis, and 0.800 for periarticular calcifications. It also detected osteosynthesis and endoprosthesis with near perfect accuracy (AUC 0.998 and 1.0, respectively). Sensitivity and specificity were 0.75 and 0.86 for fractures, 0.95 and 0.65 for joint dislocation, 0.90 and 0.86 for osteoarthrosis, and 0.60 and 0.89 for calcification. Conclusion CNNs have the potential to serve as an assistive device by providing clinicians a means to prioritize worklists or providing additional safety in situations of increased workload.

Muscle strength cut-points for metabolic syndrome detection among adults and the elderly from Brazil

2021 ◽  
Vol 46 (4) ◽  
pp. 379-388
Author(s):  
Tiago Rodrigues de Lima ◽  
David Alejandro González-Chica ◽  
Eleonora D’Orsi ◽  
Xuemei Sui ◽  
Diego Augusto Santos Silva
Keyword(s):  
Metabolic Syndrome ◽  
Muscle Strength ◽  
Lifestyle Modification ◽  
Handgrip Strength ◽  
Area Under The Curve ◽  
Roc Curves ◽  
The Elderly ◽  
Youden Index ◽  
Cross Sectional ◽  
Cut Points

We aimed to determine cut-points for muscle strength based on metabolic syndrome diagnosis. This cross-sectional analysis comprised data from 2 cohorts in Brazil (EpiFloripa Adult, n = 626, 44.0 ± 11.1 years; EpiFloripa Aging, n = 365, 71.6 ± 6.1 years). Metabolic syndrome was assessed by relative handgrip strength (kgf/kg). Metabolic syndrome was defined as including ≥3 of the 5 metabolic abnormalities according to the Joint Interim Statement. Optimal cut-points from Receiver Operating Characteristic (ROC) curves were determined. Adjusted logistic regression was used to test the association between metabolic syndrome and the cut-points created. The cut-point identified for muscle strength was 1.07 kgf/kg (Youden index = 0.310; area under the curve (AUC)) = 0.693, 95% CI 0.614–0.764) for men and 0.73 kgf/kg (Youden index = 0.481; AUC = 0.768, 95% confidence interval (CI) = 0.709–0.821) for women (age group 25 to < 50 years). The best cut-points for men and women aged 50+ years were 0.99 kgf/kg (Youden index = 0.312; AUC = 0.651; 95% CI = 0.583–0.714) and 0.58 kgf/kg (Youden index = 0.378; AUC = 0.743; 95% CI = 0.696–0.786), respectively. Cut-points derived from ROC analysis have good discriminatory power for metabolic syndrome among adults aged 25 to <50 years but not for adults aged 50+ years. Novelty: First-line management recommendation for metabolic syndrome is lifestyle modification, including improvement of muscle strength. Cut-points for muscle strength levels according to sex and age range based on metabolic syndrome were created. Cut-points for muscle strength can assist in the identification of adults at risk for cardiometabolic disease.

Serum sFlt-1/PlGF ratio has better diagnostic ability in early- compared to late-onset pre-eclampsia

2018 ◽  
Vol 47 (1) ◽  
pp. 35-40 ◽  
Author(s):  
Theng Theng Chuah ◽  
Wan Shi Tey ◽  
Mor Jack Ng ◽  
Edward T.H. Tan ◽  
Bernard Chern ◽  
...  
Keyword(s):  
Diagnostic Tool ◽  
Late Onset ◽  
Asian Population ◽  
High Sensitivity ◽  
High Specificity ◽  
Roc Curves ◽  
Youden Index ◽  
Operating Characteristics ◽  
Gestation Age ◽  
Plgf Ratio

Abstract Background To establish gestational specific cutoffs for the soluble fms-like tyrosine kinase-1 (sFlt-1) and placental growth factor (PlGF) ratio as a diagnostic tool for pre-eclampsia (PE) in an Asian population. Methods 82 subjects (48 PE patients and 34 controls) were recruited. sFlt-1 and PlGF were analysed on the Roche Cobas e411 analyzer and their ratio was calculated. Diagnostic performance was evaluated using receiver-operating characteristics (ROC) curves. Optimal cutoffs for sFlt-1/PlGF ratio were determined for different gestation phases. Results The most optimal cut-off for the study group is 32 with a sensitivity and specificity of 85.1% and 100% and Youden Index (J) of 0.85. Applying this cutoff for early-onset PE (EO-PE), sensitivity increased to 95.8% while specificity remains at 100% (J=0.96). However, for late onset PE (LO-PE), sensitivity decreases to 73.9% while specificity remains at 100% (J=0.74). Two cutoffs were further determined for EO-PE and LO-PE – the first focusing on high sensitivity; the second focusing on high specificity. For EO-PE, cutoff <17 yielded sensitivity of 100% and specificity of 94.4% (J=0.94) while cutoff ≥32 yielded sensitivity of 95.8% and specificity of 100% (J=0.95). For LO-PE, cutoff <22 has a sensitivity of 82.6% and a specificity of 91.7% (J=0.74) while cutoff ≥32 yielded sensitivity of 73.9% and specificity of 100% (J=0.74). Conclusion While our study found an overall cutoff at 32 regardless of gestation age, it has limited diagnostic accuracy for LO-PE in our study. Multiple cutoffs focusing on either high sensitivity or high specificity enhance the performance of the sFlt-1/PlGF ratio as a diagnostic tool for PE and contribute to the identification of women at risk of PE in our Asian region.

scholarly journals Sensitivity and specificity of the macimorelin test for diagnosis of AGHD

2020 ◽  
Author(s):  
Jose M Garcia ◽  
Beverly M. K. Biller ◽  
Marta Korbonits ◽  
Vera Popovic ◽  
Anton Luger ◽  
...  
Keyword(s):  
Sensitivity And Specificity ◽  
Area Under The Curve ◽  
Logistic Models ◽  
High Sensitivity ◽  
Tolerance Test ◽  
Hormone Deficiency ◽  
Intermediate Group ◽  
Adult Growth ◽  
Group A ◽  
Group D

Objective: The macimorelin test is approved for the diagnosis of adult growth hormone deficiency (AGHD) based on its efficacy vs the insulin tolerance test (ITT). Macimorelin has a significant advantage over ITT in avoiding hypoglycemia. Analyses were conducted to determine whether macimorelin performance is affected by age, body mass index (BMI), or sex, and evaluate its performance vs ITT over a range of GH cutpoints. Design: Post hoc analyses of data from a previous randomized phase 3 study included participants aged 18-66 years with BMI <37 kg/m2 and high (Group A), intermediate (Group B), or low (Group C) likelihood for AGHD based on pituitary history, and matched controls (Group D). Methods: Probability of AGHD was estimated using unadjusted, age-adjusted, BMI-adjusted, and sex-adjusted logistic models. Area under the curve (AUC) of the estimated receiver operating characteristic (ROC) curve (range, 0-1; 1=perfect) was compared for adjusted vs unadjusted models. Separate analyses evaluated agreement, sensitivity, and specificity for macimorelin and ITT using cutpoints of 2.8, 4.0, 5.1, and 6.5 ng/mL. Results: For participants in Group A (n=41) and Group D (n=29), unadjusted, age-adjusted, BMI-adjusted, and sex-adjusted models had ROC AUCs (95% CIs) of 0.9924 (0.9807-1), 0.9924 (0.9807-1), 0.9916 (0.9786-1), and 0.9950 (0.9861-1), respectively. Conclusions: Macimorelin performance was not meaningfully affected by age, BMI, or sex, indicating robustness for AGHD diagnosis. Of the 4 GH cutpoints evaluated, the cutpoint of 5.1 ng/mL provided maximal specificity (96%) and high sensitivity (92%) and was in good overall agreement with the ITT at the same cutpoint (87%).

scholarly journals Novel Cytological Diagnostic Scoring System for Pancreatic Specimens Obtained by Endoscopic Ultrasound-Guided Fine Needle Aspiration

2020 ◽  
Author(s):  
Yuri Kiso ◽  
Yoko Matsuda ◽  
Shikine Esaka ◽  
Yuri Hamashima ◽  
Hiroto Shirahata ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Sensitivity And Specificity ◽  
Fine Needle Aspiration ◽  
High Sensitivity ◽  
Needle Aspiration ◽  
Youden Index ◽  
Cytological Diagnosis ◽  
Benign Lesions ◽  
Ultrasound Guided ◽  
Fine Needle

Abstract Background: Cytological diagnosis of pancreatic specimens obtained by endoscopic ultrasound-guided fine needle aspiration (EUS-FNA) is often challenging because of the small amount of sample or well-differentiated adenocarcinoma with weak cytological atypia. Therefore, the sensitivity and specificity of cytological diagnosis for pancreatic cancer should be improved. Hence, we aimed to evaluate the indices, which are used to distinguish malignant from benign lesions for the cytological diagnosis of pancreatic EUS-FNA specimens. Methods: Seven reviewers, including 3 cytotechnologists and 4 medical doctors, evaluated 20 morphological indices in pancreatic specimens obtained by EUS-FNA (malignant, n=111; benign, n=31). Statistical analyses were performed using Fisher’s exact test, logistic regression analysis, area under the receiver operating characteristic curve, and Youden Index.Results: Among the 20 indices, there was a high incidence rate (>40%) of the following 13 indices in malignant cases: structural atypia, hyperchromatic nucleus, irregular cell polarity, unclear cell boundary, nuclear membrane thickening, anisonucleosis, overlapping, irregular nuclei, high nuclear/cytoplasmic ratio, binding decline, simultaneous appearance of malignant and benign cells, enlarged nucleoli, and background necrosis. When we diagnosed pancreatic specimens using these 13 cytological indices, the cutoff value of 8/9 showed the highest Youden index (0.950) as well as high sensitivity and specificity in distinguishing malignant from benign specimens (98% and 97%, respectively). Conclusion: Thirteen cytological indices showed high sensitivity and specificity in differentiating malignant and benign lesions using pancreatic EUS-FNA samples. Further validation or prospective studies are necessary to establish criteria for the cytological diagnosis of pancreatic cancer.

scholarly journals Evaluation of the SAMe-TT2R2 score to predict the quality of anticoagulation control in patients after Mitral Valve Replacement

2021 ◽  
Author(s):  
Shubin Li ◽  
Yang Gao ◽  
Mingqiu Hu ◽  
Yuehuan Li ◽  
Xu Meng
Keyword(s):  
Mitral Valve ◽  
Valve Replacement ◽  
Mitral Valve Replacement ◽  
Sensitivity And Specificity ◽  
Area Under The Curve ◽  
General Information ◽  
Bleeding Complications ◽  
Youden Index ◽  
Oral Warfarin ◽  
Anticoagulation Control

Abstract Background:This study aimed to evaluate the role of SAMe-TT2R2 score in the prediction of anticoagulation control after mechanical mitral valve replacement.Methods and Results:We retrospectively reviewed clinical data of 161 patients who received mechanical mitral valve replacement at Beijing Anzhen Hospital from January 2013 to December 2013. Collected data included general information of patients, medication and smoking, postoperative embolism due to anticoagulant, bleeding complications and death information. In the SAMe-TT2R2 score results, the lowest score was 2 points (6.3%), the highest score was 7 points (0.7%). The number of people with 4 points was the largest ,60 people (41.4%).When the cut-off value of SAMe-TT2R2 score was set to ≥4, the sensitivity and specificity of predicting TTR≥65% were 69.8% and 93.1%, respectively. The Youden index was 0.629. If the cut-off value of SAMe-TT2R2 score was set to ≤4, the sensitivity and specificity of predicting TTR≥65% were 93.0% and 44.1%, respectively, and the Youden index was 0.371.ROC curve evaluates the predictive power of the SAMe-TT2R2 score for TTR≥65%. The figure showed that when the cut-off point≥4, the best combination of sensitivity and specificity was shown (69.8% and 93.1%, respectively).The area under the curve AUC was 0.854.Conclusions:After mechanical mitral valve replacement, the SAME-TT2R2 model can effectively predict the level of TTR during the course of using oral warfarin anticoagulation, and the SAMe-TT2R2 score ≥4 can be used to predict TTR<65%.

scholarly journals Recalibrating the Non-Communicable Diseases Risk Prediction Tools for the Rural Population of Western India

2021 ◽  
Author(s):  
Manoj Kumar Gupta ◽  
Pankaja Raghav ◽  
Tooba Tanvir ◽  
Vaishali Gautam ◽  
Amit Mehto ◽  
...  
Keyword(s):  
Risk Prediction ◽  
Predictive Value ◽  
Area Under The Curve ◽  
Vascular Diseases ◽  
High Sensitivity ◽  
Roc Curves ◽  
Risk Scores ◽  
Western India ◽  
Anthropometric Parameters ◽  
Youden’S Index

Abstract Background: The present study was conducted to recalibrate the effectiveness of Indian Diabetes Risk Scores (IDRS) and Community-Based Assessment Checklist (CBAC) by opportunistically screening for Diabetes Mellitus (DM) and Hypertension (HT) among the patients attending health centres, and to estimate the risk of fatal and non-fatal Cardio-Vascular Diseases (CVDs) using WHO/ISH chartMethods: All the people of age ≥30 years attending the health centers were screened for DM and HT. Weight, height, and waist and hip circumferences were measured and BMI and Waist Hip Ratio (WHR) were calculated. Risk categorization of all participants was done using IDRS, CBAC, and WHO/ISH risk prediction charts. Individuals diagnosed with DM or HT were started on treatment. The data was recorded using Epicollect5 and was analyzed using SPSS v.23 and MedCalc v.19.8. ROC curves were plotted for DM and HT with the IDRS, CBAC score and anthropometric parameters. Sensitivity (SN), specificity (SP), Positive Predictive Value (PPV), Negative Predictive Value (NPV), Accuracy and Youden’s index were calculated for different cut-offs of IDRS and CBAC scores.Results: A total of 942 participants were included for the screening, out of them, 6.42 % (95% CI: 4.92-8.20) were diagnosed with DM. Hypertension was detected among 25.7% (95% CI: 22.9-28.5) of the participants. A total of 447 (47.3%) participants were found with IDRS score ≥ 60, and 276 (29.3%) with CBAC score >4. As much as 26.1% were at moderate to higher risk (≥10%) of developing CVDs. Area Under the Curve (AUC) for IDRS in predicting DM was 0.64 (0.58-0.70), with 67.1% SN and 55.2% SP (Youden's Index= 0.22). While the AUC for CBAC was 0.59 (0.53-0.65). For hypertension the both the AUCs were 0.66 (0.62-0.71) and 0.63 (0.59-0.67), respectively.Conclusions: Instead of CBAC, the present study emphasizes the usefulness of IDRS as an excellent tool for screening for both DM and HT. This is the time to expose the hidden part of the NCDs iceberg by having high sensitivity of non-invasive instruments (like IDRS), so, we propose a cut-off value of 50 for the IDRS to screen for diabetes in the rural Indian population.

The utility of six serum tumor markers in early detection of lung cancer

2019 ◽  
Author(s):  
Qingwen Jiang ◽  
Xu Zheng ◽  
Yiting Li ◽  
Weina Huang ◽  
Xinjian Li ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Sensitivity And Specificity ◽  
Operating Characteristic ◽  
Early Stage ◽  
High Sensitivity ◽  
Roc Curves ◽  
Serum Levels ◽  
Benign Diseases ◽  
Significant Difference ◽  
Diagnosis Of Lung Cancer

Abstract Background: Lung cancer has become the leading cause of cancer-related death in China. However, most of patients were diagnosed at advanced stage. Thus, novel lung cancer diagnostic tests, which can be used to screen individuals in early stage, are required.Methods: A total of 208 patients involving 161 cases of lung cancer and 47 cases of benign diseases were enrolled. Serum concentration of GTM, CETM, PTM, CTM, ETM and HTM were analyzed by kits according to the manufacturer’s guidelines.Results: The results showed significant difference in serum concentrations of GTM, CETM, PTM, CTM, ETM, and HTM between patients with lung cancer and benign diseases. In addition, when compared with benign diseases, higher levels of those six markers were also observed in patient with SCC and SCLC, but not for ADC. Receiver operating characteristic (ROC) curves were further suggested a high sensitivity and specificity of six markers to identify lung cancer.Conclusion: The serum levels of GTM, CETM, PTM, CTM, ETM and HTM in lung cancer were significantly higher than those of benign diseases. Moreover, these six biomarkers showed a high sensitivity and specificity to identify a patient with malignant. These findings suggested that detection of those six biomarkers in serum might be helpful for differential diagnosis of lung cancer.

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