scholarly journals Combine preoperative estimation of serum thyroglobulin and ACR-thyroid imaging reporting and data system scoring could accurately define malignant thyroid nodules

2020 ◽  
Vol 8 (1) ◽  
pp. 32
Author(s):  
Waseem A. Shoda
Keyword(s):  
Roc Curve ◽  
Predictive Value ◽  
Thyroid Nodules ◽  
Curve Analysis ◽  
Data System ◽  
Operating Characteristics ◽  
Roc Curve Analysis ◽  
Serum Thyroglobulin ◽  
Thyroid Imaging ◽  
Significant Difference

Background: Evaluation of diagnostic ability of preoperative estimation of serum thyroglobulin (TG) to detect malignant thyroid nodules (TN) in comparison to the American College of Radiology, Thyroid imaging reporting and data system (ACR-TIRADS), fine needle aspiration cytology (FNAC) and intraoperative frozen section (IO-FS).Methods: 34 patients with ACR-TIRADS 2-4 TN were evaluated preoperatively for identification of malignancy and all underwent total thyroidectomy with bilateral neck block dissection if indicated. Results of preoperative investigations were statistically analyzed using the Receiver operating characteristics (ROC) curve analysis as predictors for malignancy in comparison to postoperative paraffin sections.Results: Preoperative serum TG levels had 100% sensitivity and negative predictive value, while ACR-TIRADS scoring had 100% specificity and positive predictive value with accuracy rates of 95.35% and 97.67% for TG and TIRADS, respectively. ROC curve analysis defined preoperative ACR-TIRADS class and serum TG as highly diagnostic than FNAC for defining malignancy with non-significant difference between areas under curve for TIRADS and TG. For cases had intermediate risk of malignancy on TIRADS, IO-FS had missed 3, FNAC missed 4, while serum TG levels were very high in the 13 cases and were defined by ROC curve as the only significant predictor for malignancy.Conclusions: Preoperative estimation of serum TG showed higher diagnostic validity than FNAC, high predictability of cancer and ability to verify the intermediate findings on TIRADS. Combined preoperative TIRADS and TG estimation could accurately discriminate malignant TN with high accuracy and spare the need for preoperative FNAC or IO-FS. 

Abstract 12875: Serum Neutrophil Gelatinase-associated Lipocalin Has a Predictive Value for the Neurological Outcome of Post Cardiac Arrest Victims

Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Tadashi Kaneko ◽  
Motoki Fujita ◽  
Yasuaki Ogino ◽  
Hiroki Irie ◽  
Shinsuke Iwashita ◽  
...  
Keyword(s):  
Cardiac Arrest ◽  
Roc Curve ◽  
Predictive Value ◽  
Neurological Outcome ◽  
Neuron Specific Enolase ◽  
Area Under The Curve ◽  
Curve Analysis ◽  
Roc Curve Analysis ◽  
Significant Difference ◽  
Neutrophil Gelatinase

Introduction: Neutrophil gelatinase-associated lopocalin (NGAL) is well known as the biomarker of acute kidney injury. Currently, serum NGAL is reported as the biomarker which is associated with mortality and multiple organ dysfunction syndrome in septic patients. In this study, we measured serum NGAL in post cardiac arrest syndrome (PCAS) patients to investigate the predictive value of neurological outcome. Hypothesis: Serum NGAL is associated with favorable neurological outcome of PCAS patients. Methods: 43 cases of PCAS patients were measured serum NGAL on day 1 and 2, and serum neuron specific enolase (NSE) was also measured on day 2. Patients were divided into two group (group G: CPC 1-2 and group P: CPC 3-5, CPC: cerebral performance categories). Serum NGAL and NSE were compared between group G and P. Receiver operation characteristic (ROC) curve analysis were performed of both NGAL and NSE. Results: Group G (n = 20) and P (n = 23) were analyzed. Serum NGAL showed significant difference in day 2 (G: 282±116 ng/mL v.s. P: 299±87 ng/mL in day1: P = 0.609, G: 185±124 ng/mL v.s. P: 353±110 ng/mL in day 2: P<0.001). The ROC curve analysis showed area under the curve of NGAL in day 2 was 0.871, and the area of NSE in day2 showed 0.918. Conclusions: Serum NGAL in PCAS patients had the predictive value for neurological outcome which is comparable to serum NSE. (This study was supported by grants from Japanese Ministry of Health, Labour and Welfare: No. 25462824)

scholarly journals Right choice of a method for determination of cut-off values: A statistical tool for a diagnostic test

2014 ◽  
Vol 5 (3) ◽  
pp. 30-34 ◽  
Author(s):  
Balkishan Sharma ◽  
Ravikant Jain
Keyword(s):  
Logistic Regression ◽  
Discriminant Analysis ◽  
Diagnostic Test ◽  
Roc Curve ◽  
Traditional Method ◽  
Statistical Technique ◽  
Curve Analysis ◽  
Operating Characteristics ◽  
Roc Curve Analysis

Objective: The clinical diagnostic tests are generally used to identify the presence of a disease. The cutoff value of a diagnostic test should be chosen to maximize the advantage that accrues from testing a population of human and others. When a diagnostic test is to be used in a clinical condition, there may be an opportunity to improve the test by changing the cutoff value. To enhance the accuracy of diagnosis is to develop new tests by using a proper statistical technique with optimum sensitivity and specificity. Method: Mean±2SD method, Logistic Regression Analysis, Receivers Operating Characteristics (ROC) curve analysis and Discriminant Analysis (DA) have been discussed with their respective applications. Results: The study highlighted some important methods to determine the cutoff points for a diagnostic test. The traditional method is to identify the cut-off values is Mean±2SD method. Logistic Regression Analysis, Receivers Operating Characteristics (ROC) curve analysis and Discriminant Analysis (DA) have been proved to be beneficial statistical tools for determination of cut-off points.Conclusion: There may be an opportunity to improve the test by changing the cut-off value with the help of a correctly identified statistical technique in a clinical condition when a diagnostic test is to be used. The traditional method is to identify the cut-off values is Mean ± 2SD method. It was evidenced in certain conditions that logistic regression is found to be a good predictor and the validity of the same can be confirmed by identifying the area under the ROC curve. Abbreviations: ROC-Receiver operating characteristics and DA-Discriminant Analysis. Asian Journal of Medical Science, Volume-5(3) 2014: 30-34 http://dx.doi.org/10.3126/ajms.v5i3.9296      

scholarly journals Risk factors to predict ocular metastasis in older adult patients with gastric cancer:LDL, ApoA1, and CA724

2021 ◽  
Author(s):  
Wenqing Shi ◽  
Shinan Wu ◽  
Tie Sun ◽  
Huiye Shu ◽  
Qichen Yang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Older Adult ◽  
Roc Curve ◽  
Demographic Characteristics ◽  
Curve Analysis ◽  
Adult Patients ◽  
Apolipoprotein A1 ◽  
Roc Curve Analysis ◽  
Significant Difference ◽  
Ocular Metastasis

Abstract Background: Gastric cancer (GC) is one of the most common malignancies in the population. Although the incidence of GC has reduced, patient prognosis remains poor. Ocular metastases (OM) from GC are rare, and the occurrence of OM is often indicative of severe disease. The purpose of this study was to explore the risk factors for OM of GC.Methods: A total of 1165 older adult patients with GC were enrolled in this study from June 2003 to May 2019 and divided into OM and non-ocular metastasis (NOM) groups. Chi-square and independent samples t tests were used to determine whether differences in demographic characteristics and serological indicators (SI) between the two groups were significant. In addition, binary logistic regression was used to analyze the value of various SI as risk factors for OM in patients with GC. The statistical threshold was set as P < 0.05. Finally, receiver operating characteristic (ROC) curve analysis was used to assess the diagnostic value of various SI in differentiating the occurrence of OM in patients with GC. Results: The incidence of OM in older adults with GC was 1.1%. Adenocarcinoma was the most common type of GC in both groups, and there was no significant difference in demographic characteristics, including sex and age between the groups. Low-density lipoprotein (LDL), carbohydrate antigen-724 (CA724), and carcinoembryonic antigen levels were significantly higher in the OM group than the NOM group, while those of apolipoprotein A1 (ApoA1) were significantly lower in the OM than the NOM group. Binary logistic analysis showed that LDL, ApoA1, and CA724 were independent risk factors for OM in patients with GC (P < 0.001,P = 0.033, and P = 0.008, respectively). ROC curve analysis generated area under the curve (AUC) values of 0.881, 0.576, and 0.906 for LDL, ApoA1, and CA724, respectively. In addition, combined analysis of LDL, ApoA1, and CA724 generated the highest AUC value of 0.924 (P < 0.001).Conclusion: Among SI, LDL, ApoA1, and CA724 have predictive value for the occurrence of OM in GC, with the three factors combined having the highest value.

Abstract 19569: High-sensitive Troponin T Cut-off Value for Myocardial Infarction After Vascular Surgery

Circulation ◽  
2014 ◽  
Vol 130 (suppl_2) ◽  
Author(s):  
Danielle M Gualandro ◽  
Gisela B Llobet ◽  
Pai C Yu ◽  
Daniela Calderaro ◽  
Andre C Marques ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Vascular Surgery ◽  
Roc Curve ◽  
Troponin T ◽  
Curve Analysis ◽  
Operating Characteristics ◽  
Roc Curve Analysis ◽  
Cutoff Value ◽  
Coronary Syndrome ◽  
High Sensitive Troponin

Introduction: Isolated high sensitive cardiac troponin T (hsTnT) elevations after vascular surgery are frequent and may lead to over diagnosis of myocardial infarction (MI). The aim of our study was to determine the accuracy of the current hsTnT cut-off value in the setting of acute coronary syndrome (ACS) after vascular surgery. Methods: Between August 2012 and March 2014, we included 337 consecutive patients submitted to arterial vascular surgery for which cardiac perioperative evaluation was requested. Perioperative surveillance included 12-lead electrocardiogram and hsTnT measurements on the three days following surgery. Patients were followed-up by cardiologists until hospital discharge and monitored for ACS. A receiver operating characteristics (ROC) curve analysis was performed to determine the hsTnT cut-off value with better accuracy for the diagnosis of perioperative ACS. Results: Of the 337 patients included, 240 (71.2%) presented hsTnT elevation above the manufacturer-provided cut-off value (0.014 ng/ml), whereas 22 (6.5%) fulfilled criteria for ACS. Median post-operative peak hsTnT of ACS patients were 0.215 ng/ml (IQR 0.043-0.493 ng/ml), versus 0.02 ng/ml (IQR 0.012-0.038 ng/ml) in patients that did not have events (P<0.001). After performing a ROC curve analysis (AUC = 0.876), we found that the manufacture-provided cutoff hsTnT value yielded a sensitivity of 100% and specificity of only 35% for diagnosis of perioperative ACS. A new hsTnT cutoff value of 0.0415 ng/ml was obtained with 86.4% sensitivity and 77% specificity for the diagnosis of perioperative ACS. Ninety-two patients (27.3%) had hsTnT elevations above the proposed new cutoff. Conclusion: A different hsTnT cutoff value of 0.0415 ng/ml is proposed and could be more useful for the diagnosis of perioperative ACS.

scholarly journals P204 Re-established CRP cut-off in UC; it may be a better predictor of mucosal remission

2020 ◽  
Vol 14 (Supplement_1) ◽  
pp. S240-S240
Author(s):  
O K Bakkaloglu ◽  
T Eskazan ◽  
S Bozcan ◽  
S Yıldırım ◽  
E A Kurt ◽  
...  
Keyword(s):  
Ulcerative Colitis ◽  
Positive Predictive Value ◽  
Roc Curve ◽  
Predictive Value ◽  
Curve Analysis ◽  
Roc Curve Analysis ◽  
Predictive Values ◽  
Mucosal Disease ◽  
Mayo Score ◽  
Montreal Classification

Abstract Background Although faecal calprotectin can predict mucosal remission in ulcerative colitis, the CRP level in this context is insufficient and frequently stay under the current cut off level. While some patients with active mucosal disease have normal CRP levels most patients in mucosal remission have much lower CRP levels. The aim of this study is to define CRP cut off levels in the prediction of mucosal remission, considering both extensiveness and severity, in ulcerative colitis. Methods We retrospectively reviewed colonoscopy reports of ulcerative colitis patients (who are not on any steroid treatment at that time) which were performed between December 2016 and March 2019 and also their CRP levels which were obtained at the same week of the colonoscopy examination. We excluded the data of patients with any other possible cause of inflammation or infection at the time of laboratory assessment. Degree of mucosal disease at colonoscopy was evaluated according to endoscopic Mayo score. Mucosal remission was defined as endoscopic Mayo score 0 or 1. The extent of mucosal inflammation was classified according to Montreal classification. The CRP level with optimal sensitivity and specificity for mucosal remission prediction was assessed by ROC curve analysis and positive and negative predictive values were also calculated. Results A total of 331 colonoscopy reports of 260 patients (122 m, 138 f) were involved in this study. There were no significant differences between ages of patients when compared with ex, and Montreal classification and we did not find any correlation between age and CRP levels. Sensitivity, specificity, positive predictive value and negative predictive values for 5 mg/l, 3 mg /l and 2 mg/l are summarised in Table 1. CRP levels which predict Mayo 0 disease, mucosal remission (Mayo 0–1) and Mayo 3 disease are shown in Table 2. At the ROC curve analysis, we found that CRP level of approximately 2.9 mg/l can predict mucosal remission with a 77% sensitivity and % 80 specificity in all examinations without grouping into a separate segmental disease. For subgroups with Montreal E1, E2 and E3 ROC curve analysis suggested 1,8 mg/l (sn. 84%, sp. 90%), 2,7 mg/l (sn. 75%, sp. 75%) and 3 mg/l (sn. 80%, sp. 80%) CRP levels can be used for prediction of mucosal remission respectively (Table 3). It is important to emphasise that 30% of all patients with Mayo 3 colonoscopy and further 23% of patients with Montreal E3–Mayo 3 activity have CRP levels below the regular cut-off value of 5 mg/l. Conclusion CRP cut-off level of approximately 2.9 mg/l can predict mucosal remission in ulcerative colitis better than standard cut-off of 5 mg/l which has a low positive predictive value and specificity even at extended and active mucosal disease.

scholarly journals Predictive value of plasma parameters in the risk of postpartum ketosis in dairy cows

2017 ◽  
Vol 61 (1) ◽  
pp. 91-95 ◽  
Author(s):  
Yu Cao ◽  
Jiang Zhang ◽  
Wei Yang ◽  
Cheng Xia ◽  
Hong-You Zhang ◽  
...  
Keyword(s):  
Dairy Cows ◽  
Roc Curve ◽  
Predictive Value ◽  
Curve Analysis ◽  
Paraoxonase 1 ◽  
Roc Curve Analysis ◽  
Plasma Parameters ◽  
Holstein Friesian ◽  
Plasma Activity ◽  
Friesian Cows

AbstractIntroduction:The predictive value of selected parameters in the risk of ketosis and fatty liver in dairy cows was determined.Material and Methods:In total, 21 control and 17 ketotic Holstein Friesian cows with a β-hydroxybutyrate (BHBA) concentration of 1.20 mmol/L as a cut-off point were selected. The risk prediction thresholds for ketosis were determined by receiver operating characteristic (ROC) curve analysis.Results:In the ketosis group, paraoxonase-1 (PON-1) activity and concentration of PON-1 and glucose (GLU) were decreased, and aminotransferase (AST) activity as well as BHBA and non-esterified fatty acid (NEFA) contents were increased. The plasma activity and concentration of PON-1 were significantly positively correlated with the level of plasma GLU. The plasma activity and concentration of PON-1 were significantly negatively correlated with the levels of AST and BHBA. According to ROC curve analysis, warning indexes of ketosis were: plasma PON-1 concentration of 46.79 nmol/L, GLU concentration of 3.04 mmol/L, AST concentration of 100 U/L, and NEFA concentration of 0.82 mmol/L.Conclusion:This study showed that the levels of PON-1, GLU, AST, and NEFA could be used as indicators to predict the risk of ketosis in dairy cows.

scholarly journals Risk Factors to Predict Ocular Metastasis in Older Adult Patients With Gastric Cancer:LDL, ApoA1, and CA724

2022 ◽  
Vol 21 ◽  
pp. 153303382110658
Author(s):  
Wen-Qing Shi ◽  
Shi-Nan Wu ◽  
Tie Sun ◽  
Hui-Ye Shu ◽  
Qi-Chen Yang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Roc Curve ◽  
Area Under The Curve ◽  
Density Lipoprotein ◽  
Demographic Characteristics ◽  
Curve Analysis ◽  
Apolipoprotein A1 ◽  
Roc Curve Analysis ◽  
Significant Difference ◽  
Ocular Metastasis

Objective: The purpose of this study was to explore the risk factors for Ocular metastasis (OM) of Gastric cancer (GC). Methods: This is a retrospective cohort study. A total of 1165 patients with GC were enrolled in this study and divided into OM and non-ocular metastasis (NOM) groups. Chi-square and independent samples t tests were used to determine whether differences in demographic characteristics and serological indicators (SI) between the two groups were significant. In addition, binary logistic regression was used to analyze the value of various SI as risk factors for OM in patients with GC. The statistical threshold was set as P < .05. Finally, receiver operating characteristic (ROC) curve analysis was used to assess the diagnostic value of various SI in differentiating the occurrence of OM in patients with GC. Results: The incidence of OM in older adults with GC was 1.1%. Adenocarcinoma was the most common type of GC in both groups, and there was no significant difference in demographic characteristics between the groups. Low-density lipoprotein (LDL), carbohydrate antigen-724 (CA724), and carcinoembryonic antigen levels were significantly higher in the OM group than the NOM group, while those of apolipoprotein A1 (ApoA1) were significantly lower in the OM than the NOM group. Binary logistic analysis showed that LDL, ApoA1, and CA724 were independent risk factors for OM in patients with GC ( P < .001, P = .033, and P = .008, respectively). ROC curve analysis generated area under the curve (AUC) values of 0.881, 0.576, and 0.906 for LDL, ApoA1, and CA724, respectively. In addition, combined analysis of LDL, ApoA1, and CA724 generated the highest AUC value of 0.924 ( P < .001). Conclusion: Among SI, LDL, ApoA1, and CA724 have predictive value for the occurrence of OM in GC, with the three factors combined having the highest value.

scholarly journals Efficacy of Differential Diagnosis of Thyroid Nodules by Shear Wave Elastography, the Stiffness Map

2021 ◽  
Author(s):  
Myung Hi Yoo ◽  
Hye Jeong Kim ◽  
In Ho Choi ◽  
Suyeon Park ◽  
Sumi Yun ◽  
...  
Keyword(s):  
Differential Diagnosis ◽  
Shear Wave ◽  
Roc Curve ◽  
Thyroid Nodules ◽  
Shear Wave Elastography ◽  
Curve Analysis ◽  
Follicular Neoplasm ◽  
Roc Curve Analysis ◽  
Cutoff Value ◽  
Benign Pathology

Abstract Background Fine-needle aspiration is the gold standard, but malignancy rate of the indeterminate cytology is reported as 20-50 %. We aimed to evaluate the efficacy of shear wave elastography (SWE) added to ultrasonogram in the differential diagnosis of thyroid nodules. Methods We retrospectively reviewed the medical records of 258 consecutive patients. Thyroid nodules were divided in to 4 categoies according to maximum elasticity (EMax) and nodule depth/width (D/W) ratio; Category 1 (EMax ≥42.6 kPa & D/W&lt;0.9), Category 2 (EMax &lt;42.6 kPa & D/W&lt;0.9 ), Category 3 (EMax ≥42.6 kPa & D/W≥ 0.9) and Category 4 (EMax&lt;46.2 kPa & D/W≥ 0.9 ). The cutoff value of EMax was set using ROC curve analysis to predict nodular hyperplasia (NH) from follicular neoplasm (FN). Cutoff value ​​for nodule D/W ratio was set using ROC curve analysis for malignancy. Results NH was the most prevalent pathology group in category 1, FN in category 2 and PTC in category 3. The category 3 demonstrated the highest rate of malignancy (81.8%) and had 55.4% sensitivity and 90% specificity for predicting malignancy. When assessing the benign pathology of NH in follicular patterned lesion, category 1 demonstrated the highest NH prevalence of 88.9% (34/37) and had 73.9% sensitivity and 85.0% specificity. Conclusion The performance for malignancy was highest in category 3 and predictive ability for benign pathology of NH in follicular lesion was highest in category 1. So the information of EMax and nodule D/W ratio was useful to predict the pathology of thyroid nodules

Thyroid Imaging Reporting And Data System (TIRADS) For Ultrasound Features Of Solitary Thyroid Nodules

QJM ◽  
2021 ◽  
Vol 114 (Supplement_1) ◽  
Author(s):  
Amr Salama A Salah ◽  
Sherif H Abu-Gamrah ◽  
Ahmed M Hussein ◽  
Haytham M Nasser
Keyword(s):  
Predictive Value ◽  
Thyroid Nodules ◽  
Histopathological Examination ◽  
Data System ◽  
Radiology Department ◽  
Histopathological Study ◽  
University Hospitals ◽  
Thyroid Imaging ◽  
Echogenic Foci ◽  
Ultrasound Features

Abstract Purpose to investigate the Thyroid Imaging Reporting and Data System (TIRADS) as a new classification system for solitary thyroid nodules by high resolution Ultrasonography in correlation with histopathological study. Materials and Methods Thirty patients with clinically suspected thyroid nodules referred to Radiology department at Ain shams University hospitals after fulfilling inclusion and exclusion criteria. All thyroid nodules are examined by ultrasound and charactrized according to internal components, margins, echogenicity, shape and evidence of echogenic foci the classified according to the American college of radiology (ACR) TIRADS guidline, then compared with histopathological examination by Fine needle aspiration cytology (FNAC) . Results Many ultrasound features were predeictors of malignancy hypoechoic echopattern, taller than wider shape, punctate echogenic foci, and lobulated and irregular margins with (p &lt; 0.05). Risk of malignancy on TIRADS 1 and 2 nodules were 0%, also on TIRADS 3 nodules was 0%. While on TIRADS 4 and 5 nodules were 11.1% and 88.9% respectively. ROC analysis revealed sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and area under curve (AUC) are 100, 85.71, 75.00, 100.00 and 0.987 respectively when using cut-off value of score &lt;5. Conclusion Our results suggest that ACR TIRADS classification is reliable in predicting thyroid malignancy. It could lead to a significant decrease of the number of unnecessary FNAC.

Utility of Alpha-Fetoprotein-L3 and Golgi Protein 73 for Diagnosis of Hepatocellular Carcinoma

2020 ◽  
Vol EJMM29 (4) ◽  
pp. 9-15
Author(s):  
Rania A. El-Kady ◽  
Mohammed M. El-Naggar ◽  
ehab A. Abd El-Shakour ◽  
Monir H. Bahgat
Keyword(s):  
Hepatocellular Carcinoma ◽  
Roc Curve ◽  
Malignant Tumors ◽  
Curve Analysis ◽  
Alpha Fetoprotein ◽  
Enzyme Linked Immunosorbent Assay ◽  
Roc Curve Analysis ◽  
Median Serum ◽  
Significant Difference ◽  
Golgi Protein

Background: Hepatocellular carcinoma (HCC) is amongst the most common malignant tumors that carries a poor prognosis. Clinically, alpha-fetoprotein (AFP) is the most extensively used serum biomarker for diagnosing HCC. Objectives: The current study was conducted to explore the diagnostic value of serum levels of alpha-fetoprotein-L3 (AFP-L3) and Golgi protein 73 (GP73) regarding HCC, and to determine the diagnostic accuracy of these biomarkers when used individually as well as in combination with AFP. Methodology: Blood samples were collected from 50 patients with HCV-related cirrhosis (25 subjects with HCC and 25 without HCC) recruited from the outpatient clinics of the Specialized Internal Medicine Hospital, Mansoura University, Egypt. Serum concentrations of AFP-L3 and GP73 were evaluated using enzyme-linked immunosorbent assay (ELISA). Diagnostic performance of AFP-L3 and GP73 was determined by receiver operating characteristic (ROC) curve analysis. Results: Overall, the median serum level of AFP-L3 was higher in the HCC group compared to the cirrhotic group (p=0.05). Moreover, a statistically-significant difference was observed between the median serum value of GP73 in HCC patients compared to those with cirrhosis (p < 0.001). The ROC curve analysis showed that the area under the ROC curve (AUROC) values for AFP, AFP-L3 and GP73 were 0.88, 0.67 and 0.83, respectively. Of the 3 biomarkers, GP73 demonstrated the highest sensitivity (88%). The AUROC for AFP and AFP-L3 combination was 0.85, whereas that for AFP and GP73 was 0.90. Conclusion: Our findings indicate that GP73 is more sensitive than AFP and AFP-L3 in diagnosing HCC. Furthermore, the combined determination of GP73 and AFP could improve the diagnostic ability of HCC.

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