A Proteomics Panel for Predicting Optimal Primary Cytoreduction in Stage III/IV Ovarian Cancer

2009 ◽  
Vol 19 (9) ◽  
pp. 1535-1538 ◽  
Author(s):  
Signe Risum ◽  
Estrid Høgdall ◽  
Svend A. Engelholm ◽  
Eric Fung ◽  
Lee Lomas ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Receiver Operating Characteristic ◽  
Sensitivity And Specificity ◽  
Operating Characteristic ◽  
Risk Index ◽  
Stage Iii ◽  
Ca 125 ◽  
Ovarian Cancer Risk ◽  
Incomplete Cytoreduction ◽  
Receiver Operating

The objective of this prospective study was to evaluate CA-125 and a 7-marker panel as predictors of incomplete primary cytoreduction in patients with stage III/IV ovarian cancer (OC). From September 2004 to January 2008, serum from 201 patients referred to surgery for a pelvic tumor was analyzed for CA-125. In addition, serum was analyzed for 7 biomarkers using surface-enhanced laser desorption/ionization time-of-flight mass spectrometry. These biomarkers were combined into a single-valued ovarian-cancer-risk index (OvaRI). CA-125 and OvaRI were evaluated as predictors of cytoreduction in 75 stage III/IV patients using receiver operating characteristic curves.Complete primary cytoreduction (no macroscopic residual disease) was achieved in 31% (23/75) of the patients. The area under the receiver operating characteristic curve was 0.66 for CA-125 and 0.75 for OvaRI.The sensitivity and specificity of CA-125 for predicting incomplete cytoreduction were 71% (37/52) and 57% (13/23), respectively (P = 0.04). The sensitivity and specificity of OvaRI for predicting incomplete cytoreduction were 73% (38/52) and 70% (16/23), respectively (P = 0.001). In conclusion, CA-125 and an index of 7 biomarkers were found to be predictors of cytoreduction. However, future studies of biomarkers are anticipated to promote early diagnosis and provide prognostic information to guide treatment of OC patients. In addition, new biomarkers might also play a role in predicting outcome from primary surgery in OC patients.

scholarly journals CA 125 DAN RISK OF MALIGNANCY INDEX (RMI)2 SEBAGAI PREDIKTOR KEGANASAN TUMOR OVARIUM TIPE EPITEL

2018 ◽  
Vol 11 (1) ◽  
pp. 18
Author(s):  
Aditiyono Aditiyono Aditiyono ◽  
Ali Budi Harsono ◽  
Herman Susanto
Keyword(s):  
Ovarian Cancer ◽  
Receiver Operating Characteristic ◽  
Roc Curve ◽  
Gold Standard ◽  
Area Under Curve ◽  
Operating Characteristic ◽  
Ca 125 ◽  
Chi Square ◽  
Numeric Data ◽  
Receiver Operating

Keganasan ovarium memiliki angka morbiditas dan mortalitas yang tinggi karena umumnya ditemukan pada stadium lanjut. Penelitian ini bertujuan untuk mengetahui spesifitas dan sensitivitas CA 125 dan RMI2 dalam menentukan keganasan kista ovarium jenis epitel. Kadar CA 125 dan RM12 kemudian dilihat histopatologinya sebagai gold standard. Penelitian ini merupakan uji diagnostik, dilakukan di RSUP dr. Hasan Sadikin Bandung periode April s.d. September 2017. Sampel berjumlah 90 dengan 47 berkategori jinak dan 43 berkategori ganas berdasarkan hasil histopatologinya. Analisis data dilakukan secara univariat dan bivariat. Data kategorik diuji dengan uji chi-square atau uji Exact Fisher. Data numerik digunakan uji-t tidak berpasangan atau uji Mann Whitney. Sensitivitas dan spesifisitas data numerik disajikan dalam kurva Receiver Operating Characteristic (ROC). Berdasarkan kurva ROC maka diperoleh nilai area under curve (AUC). Hasil penelitian menunjukkan nilai median CA 125 kelompok ganas dibanding kelompok jinak (142,2 vs 61,030) bermakna secara statistik p = 0,000 (nilai p < 0,05), cut off point CA 125 adalah 99,9 U/mL dengan nilai sensitivitas 76,7% dan nilai spesifisitas 61,7%. Nilai median RMI2 kelompok ganas lebih besar dibandingkan dengan kelompok jinak (1676,8 vs 125) bermakna secara statistik p = 0,000 (nilai p < 0,05), cut off point RMI2 pada penelitian ini adalah 212,7 dengan sensitivitas 86% dan spesifisitas 70,2%. Nilai sensitivitas RMI2 dengan cut off point 200 adalah 88% dan spesifisitas 63,87%. Kesimpulan penelitian ini adalah CA125 adalah biomarker yang berguna untuk memprediksi keganasan ovarium, dengan nilai cut off point 99,9 ng/mL. Hal ini sangat berguna bila digunakan kombinasi CA 125 dengan hasil pemeriksaan Ultrasonografi (USG) dan status menopause atau dikenal dengan Risk Malignancy Index (RMI2 cut off point > 200 ) dengan sensitivitas 86%, spesifisitas 63,87% dan akurasi 74,4%.   The malignancy of ovarian cancer has high level of morbidity and mortality due to the fact that it is commonly found in advanced stage. This research is aimed to find out the specificity and sensitivity of C125 and RMI2 in determining the malignancy of epithelial ovarian cysts. The level of CA 125 and RM12 is then histopathology-measured as a gold standard. This research is a diagnostic study conducted in Hasan Sadikin Hospital Bandung during April until September 2017. Sample consists of 90 patients with 47 patients belong to low-malignancy group and 43 patients belong to high-malignancy group based on its histopathology. Data analysis is conducted by using univariate and bivariate. Categorical data is tested by using chi-square or Exact Fisher. Numeric data is tested by using unpaired t test or Mann Whitney. Sensitivity and specificity of numeric data is displayed in Receiver Operating Characteristic (ROC) curve. The ROC curve shows the value of area under curve (AUC). The result shows that the median of CA125 of the high-malignancy group compared to the low-malignancy group is (142,2 vs 61,030) which statistically means p = 0,000 (value p < 0,05), cut off point CA125 is 99,9 U/mL with sensitivity value 76,7% and specificity value 61,7%. The median of RMI2 of high-malignancy group is bigger compare to the low-malignancy group (1676,8 vs 125) which statistically means p = 0,000 (value p < 0,05), cut off point RMI2 of this research is 212,7 with sensitivity value 86% and specificity value 70,2%. The sensitivity value of RMI2 with cut off points 200 is 88% and the specificity value is 63,87%. This research concludes that CA125 is a useful biomarker to predict the malignancy of ovarian cancer with cut off point 99,9ng/mL. It will be very useful if it is combined with CA125 with Ultrasonography (USG) examination and menopause status or known as Risk Malignancy Index (RMI cut off point > 200) with sensitivity 86%, specificity 63,87% and accuracy 74,4%.

scholarly journals Accuracy and adequacy of waist circumference cut-off points currently recommended in Brazilian adults

2013 ◽  
Vol 17 (4) ◽  
pp. 861-869 ◽  
Author(s):  
Carolina Avila Vianna ◽  
Rogério da Silva Linhares ◽  
Renata Moraes Bielemann ◽  
Eduardo Coelho Machado ◽  
David Alejandro González-Chica ◽  
...  
Keyword(s):  
Cardiovascular Risk ◽  
Waist Circumference ◽  
Receiver Operating Characteristic ◽  
Sensitivity And Specificity ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Predictive Ability ◽  
Youden Index ◽  
Southern Brazil ◽  
Receiver Operating

AbstractObjectiveTo evaluate the adequacy and accuracy of cut-off values currently recommended by the WHO for assessment of cardiovascular risk in southern Brazil.DesignPopulation-based study aimed at determining the predictive ability of waist circumference for cardiovascular risk based on the use of previous medical diagnosis for hypertension, diabetes mellitus and/or dyslipidaemia. Descriptive analysis was used for the adequacy of current cut-off values of waist circumference, receiver operating characteristic curves were constructed and the most accurate criteria according to the Youden index and points of optimal sensitivity and specificity were identified.SettingPelotas, southern Brazil.SubjectsIndividuals (n2112) aged ≥20 years living in the city were selected by multistage sampling, since these individuals did not report the presence of previous myocardial infarction, angina pectoris or stroke.ResultsThe cut-off values currently recommended by WHO were more appropriate in men than women, with overestimation of cardiovascular risk in women. The area under the receiver operating characteristic curve showed moderate predictive ability of waist circumference in men (0·74, 95 % CI 0·71, 0·76) and women (0·75, 95 % CI 0·73, 0·77). The method of optimal sensitivity and specificity showed better performance in assessing the accuracy, identifying the values of 95 cm in men and 87 cm in women as the best cut-off values of waist circumference to assess cardiovascular risk.ConclusionsThe cut-off values currently recommended for waist circumference are not suitable for women. Longitudinal studies should be conducted to evaluate the consistency of the findings.

scholarly journals 215 Assessment of the Diagnostic Sensitivity and Specificity of Pain Biomarkers in Cattle Using Receiver Operating Characteristic Curves

2020 ◽  
Vol 98 (Supplement_3) ◽  
pp. 7-8
Author(s):  
Miriam S Martin ◽  
Michael Kleinhenz ◽  
Karen Schwartzkopf-Genswein ◽  
Johann Coetzee
Keyword(s):  
Diagnostic Accuracy ◽  
Receiver Operating Characteristic ◽  
Sensitivity And Specificity ◽  
Predictive Value ◽  
Roc Analysis ◽  
Operating Characteristic ◽  
Diagnostic Sensitivity ◽  
Diagnostic Sensitivity And Specificity ◽  
Good Diagnostic Accuracy ◽  
Receiver Operating

Abstract Biomarkers are commonly used to assess pain and analgesic drug efficacy in livestock. However, the diagnostic sensitivity and specificity of these biomarkers for different pain conditions over time have not been described. Receiver operating characteristic (ROC) curves are graphical plots that illustrate the diagnostic ability of a test as its discrimination threshold is varied. The objective of this analysis was to use area under the curve (AUC) values derived from ROC analysis to assess the predictive value of pain biomarkers at specific timepoints. The biomarkers included in the analysis were blood cortisol, salivary cortisol, hair cortisol, infrared thermography (IRT), mechanical nociceptive threshold (MNT), substance P, and outcomes from a pressure/force measurement system and visual analog scale. A total sample size of 7,992 biomarker outcomes were collected from 6 pain studies involving pain associated with castration, dehorning, lameness, and surgery were included in the analysis. Each study consisted of three treatments; pain, no pain, and analgesia. All statistics were performed using statistical software (JMP Pro 14.0, SAS Institute, Inc., Cary, NC). Results comparing analgesia verses pain yielded good diagnostic accuracy (AUC &gt; 0.7; 95% CI: 0.40 to 0.99) for blood cortisol (timepoints 1.5, 2, and 6 hours); IRT (timepoints 6, 8, 12, and 72 hours); and MNT (timepoints 6, 25, and 49 hours). These results indicate that ROC analysis can be a useful indicator of the predictive value of pain biomarkers and certain timepoints seem to yield good diagnostic accuracy while many do not.

Overall severities of gastrointestinal symptoms in pediatric outpatients with and without autism spectrum disorder

Autism ◽  
2018 ◽  
Vol 23 (2) ◽  
pp. 524-530 ◽  
Author(s):  
Venkatraman Thulasi ◽  
Robert A Steer ◽  
Iona M Monteiro ◽  
Xue Ming
Keyword(s):  
Autism Spectrum Disorder ◽  
Receiver Operating Characteristic ◽  
Sensitivity And Specificity ◽  
Operating Characteristic ◽  
Gastrointestinal Disorder ◽  
Severity Index ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Gastrointestinal Disorders ◽  
Receiver Operating

In order to determine the effectiveness of a Gastrointestinal Severity Index to screen for gastrointestinal disorders, the Gastrointestinal Severity Index was administered to 135 children with autism spectrum disorders and 146 comparisons with and without gastrointestinal disorders. The mean Gastrointestinal Severity Index scores of the groups were 3.53 ± 1.78, 3.15 ± 1.99, 0.81 ± 1.25, and 0.29 ± 0.76 (comparative pediatric patients with gastrointestinal disorder = autism spectrum disorder + gastrointestinal disorder > autism spectrum disorder-gastrointestinal disorder > comparative pediatric patients without gastrointestinal disorder, respectively), Ps < 0.05. Receiver operating characteristic curves and areas under the receiver operating characteristic curves were calculated to ascertain which Gastrointestinal Severity Index cutoff scores yielded the highest sensitivity and specificity rates for the diagnosis of gastrointestinal disorders. The area under the receiver operating characteristic curve (0.97) for the comparison group was higher (P < 0.001) than the area under the receiver operating characteristic curve (0.85) for autism spectrum disorder children indicating that the Gastrointestinal Severity Index was more effective in screening for gastrointestinal disorders in comparisons. However, the same Gastrointestinal Severity Index cutoff score of 2 and above yielded, respectively, sensitivity and specificity rates of 92% and 93% for comparisons and 80% and 79% for autism spectrum disorder children. The negative and positive predictive values based on these sensitivity and specificity rates were calculated for a range of prevalences of gastrointestinal disorders and indicated that the Gastrointestinal Severity Index may be useful for screening children with and without autism spectrum disorder for gastrointestinal symptoms.

Diagnostic studies

2010 ◽  
pp. 339-351
Author(s):  
Janet L. Peacock ◽  
Philip J. Peacock
Keyword(s):  
Receiver Operating Characteristic ◽  
Likelihood Ratio ◽  
Sensitivity And Specificity ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Diagnostic Testing ◽  
Roc Curves ◽  
Clinical Situation ◽  
Post Test ◽  
Receiver Operating

Sensitivity and specificity 340 Calculations for sensitivity and specificity 342 Effect of prevalence 344 Likelihood ratio, pre-test odds, post-test odds 346 Receiver operating characteristic (ROC) curves 348 Links to other statistics 350 In this chapter we describe how statistical methods are used in diagnostic testing to obtain different measures of a test’s performance. We describe how to calculate sensitivity, specificity, and positive and negative predictive values, and show the relevance of pre- and post-test odds and likelihood ratio in evaluating a test in a clinical situation. We also describe the receiver operating characteristic curve and show how this links with logistic regression analysis. All methods are illustrated with examples....

A simple method to estimate the time-dependent receiver operating characteristic curve and the area under the curve with right censored data

2016 ◽  
Vol 27 (8) ◽  
pp. 2264-2278 ◽  
Author(s):  
Liang Li ◽  
Tom Greene ◽  
Bo Hu
Keyword(s):  
Receiver Operating Characteristic Curve ◽  
Receiver Operating Characteristic ◽  
Sensitivity And Specificity ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Disease Onset ◽  
Area Under The Curve ◽  
Time Dependent ◽  
Operating Characteristic Curve ◽  
Receiver Operating

The time-dependent receiver operating characteristic curve is often used to study the diagnostic accuracy of a single continuous biomarker, measured at baseline, on the onset of a disease condition when the disease onset may occur at different times during the follow-up and hence may be right censored. Due to right censoring, the true disease onset status prior to the pre-specified time horizon may be unknown for some patients, which causes difficulty in calculating the time-dependent sensitivity and specificity. We propose to estimate the time-dependent sensitivity and specificity by weighting the censored data by the conditional probability of disease onset prior to the time horizon given the biomarker, the observed time to event, and the censoring indicator, with the weights calculated nonparametrically through a kernel regression on time to event. With this nonparametric weighting adjustment, we derive a novel, closed-form formula to calculate the area under the time-dependent receiver operating characteristic curve. We demonstrate through numerical study and theoretical arguments that the proposed method is insensitive to misspecification of the kernel bandwidth, produces unbiased and efficient estimators of time-dependent sensitivity and specificity, the area under the curve, and other estimands from the receiver operating characteristic curve, and outperforms several other published methods currently implemented in R packages.

scholarly journals Accuracy among Jordanian and Australian radiologists reading the same set of test screening cases

2019 ◽  
Vol 8 (3) ◽  
pp. BMT28
Author(s):  
Mohammad Rawashdeh ◽  
Mostafa Abdelrahman ◽  
Maha Zaitoun ◽  
Mo’ayyad Suleiman ◽  
Rula Abu Taimai ◽  
...  
Keyword(s):  
Receiver Operating Characteristic ◽  
Sensitivity And Specificity ◽  
Confidence Level ◽  
Operating Characteristic ◽  
Free Response ◽  
Mammographic Images ◽  
Receiver Operating

Aim: To investigate how breast radiologists from Jordan and Australia differ in accuracy when examining the set of test screening cases. Materials & methods: A total of 27 Jordanian and 115 Australian breast radiologists were requested to read 60 mammographic images and to indicate the location of any perceived lesion and record a confidence level ranging from 1 to 5. Jackknife alternative free-response receiver operating characteristic, location sensitivity and specificity were calculated and compared for both Australian and Jordanian readers. Results: Australian readers achieved significantly higher readings accuracy than Jordanian readers retrospectively in terms of Jackknife alternative free-response receiver operating characteristic (75th percentile values: 0.863 vs 0.600; p = 0.001) and location sensitivity (75th percentile values 0.673 vs 0.571; p = 0.022). Conclusion: Australian radiologists achieved higher performance in reading breast mammograms than Jordanian radiologists.

Diagnostic Value of Total Plasma Lysophosphatidic Acid in Ovarian Cancer: A Meta-analysis

2015 ◽  
Vol 25 (1) ◽  
pp. 18-23 ◽  
Author(s):  
Zhaolian Lu ◽  
Yingjian Chen ◽  
Zhide Hu ◽  
Chengjin Hu
Keyword(s):  
Ovarian Cancer ◽  
Receiver Operating Characteristic ◽  
Lysophosphatidic Acid ◽  
Test Performance ◽  
Operating Characteristic ◽  
Meta Analysis ◽  
Characteristic Curve ◽  
Diagnostic Value ◽  
Summary Receiver Operating Characteristic ◽  
Receiver Operating

ObjectiveThis study aimed to assess the diagnostic value of lysophosphatidic acid (LPA) in ovarian cancer.MethodsA systematic review of related studies was performed; sensitivity, specificity, and other measures about the accuracy of serum LPA in the diagnosis of ovarian cancer were pooled using random-effects models. Summary receiver operating characteristic curve analysis was used to summarize the overall test performance.ResultsSix studies involving 363 patients with ovarian cancer and 273 healthy control women met the inclusion criteria. The summary estimates for LPA in diagnosing ovarian cancer in the included studies were as follows: sensitivity, 0.94 [95% confidence interval (CI), 0.91–0.96]; specificity, 0.88 (95% CI, 0.83–0.91); and diagnostic odds ratio, 141.59 (95% CI, 52.1–384.63). The area under the curve and Q value for summary receiver operating characteristic curves were 0.97 and 0.92, respectively.ConclusionsThe LPA assay showed high accuracy and sensitivity for the diagnosis of ovarian cancer. The present study was limited by the small number of available studies and sample size; therefore, additional studies with a better design and larger samples are needed to further assess the diagnostic accuracy of LPA.

scholarly journals The predictive receiver operating characteristic curve for the joint assessment of the positive and negative predictive values

2008 ◽  
Vol 366 (1874) ◽  
pp. 2313-2333 ◽  
Author(s):  
Shang-Ying Shiu ◽  
Constantine Gatsonis
Keyword(s):  
Receiver Operating Characteristic ◽  
Sensitivity And Specificity ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Predictive Performance ◽  
Predictive Values ◽  
Continuous Test ◽  
Test Outcomes ◽  
Joint Assessment ◽  
Receiver Operating

Binary test outcomes typically result from dichotomizing a continuous test variable, observable or latent. The effect of the threshold for test positivity on test sensitivity and specificity has been studied extensively in receiver operating characteristic (ROC) analysis. However, considerably less attention has been given to the study of the effect of the positivity threshold on the predictive value of a test. In this paper we present methods for the joint study of the positive (PPV) and negative predictive values (NPV) of diagnostic tests. We define the predictive receiver operating characteristic (PROC) curve that consists of all possible pairs of PPV and NPV as the threshold for test positivity varies. Unlike the simple trade-off between sensitivity and specificity exhibited in the ROC curve, the PROC curve displays what is often a complex interplay between PPV and NPV as the positivity threshold changes. We study the monotonicity and other geometric properties of the PROC curve and propose summary measures for the predictive performance of tests. We also formulate and discuss regression models for the estimation of the effects of covariates.

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