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%.

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 Comparative Assessment of Three Common Algorithms for Estimating the Variance of the Area under the Nonparametric Receiver Operating Characteristic Curve

2002 ◽  
Vol 2 (3) ◽  
pp. 280-289 ◽  
Author(s):  
Mario A. Cleves
Keyword(s):  
Receiver Operating Characteristic ◽  
Diagnostic Test ◽  
Roc Curve ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Simulated Data ◽  
Small Samples ◽  
Binary Outcomes ◽  
Discriminatory Accuracy ◽  
Receiver Operating

The area under the receiver operating characteristic (ROC) curve is often used to summarize and compare the discriminatory accuracy of a diagnostic test or modality, and to evaluate the predictive power of statistical models for binary outcomes. Parametric maximum likelihood methods for fitting of the ROC curve provide direct estimates of the area under the ROC curve and its variance. Nonparametric methods, on the other hand, provide estimates of the area under the ROC curve, but do not directly estimate its variance. Three algorithms for computing the variance for the area under the nonparametric ROC curve are commonly used, although ambiguity exists about their behavior under diverse study conditions. Using simulated data, we found similar asymptotic performance between these algorithms when the diagnostic test produces results on a continuous scale, but found notable differences in small samples, and when the diagnostic test yields results on a discrete diagnostic scale.

scholarly journals Platelet and Red Blood Cell Indices in Patients with Panic Disorder: A Receiver Operating Characteristic Analysis

2020 ◽  
Vol 11 (02) ◽  
pp. 261-266 ◽  
Author(s):  
Ramdas S. Ransing ◽  
Neha Gupta ◽  
Girish Agrawal ◽  
Nilima Mahapatro
Keyword(s):  
Panic Disorder ◽  
Blood Cell ◽  
Receiver Operating Characteristic ◽  
Red Blood Cell ◽  
Roc Curve ◽  
Operating Characteristic ◽  
Healthy Controls ◽  
Distribution Width ◽  
Rbc Indices ◽  
Receiver Operating

Abstract Objective Panic disorder (PD) is associated with changes in platelet and red blood cell (RBC) indices. However, the diagnostic or predictive value of these indices is unknown. This study assessed the diagnostic and discriminating value of platelet and RBC indices in patients with PD. Materials and Methods In this cross-sectional study including patients with PD (n = 98) and healthy controls (n = 102), we compared the following blood indices: mean platelet volume (MPV), platelet distribution width (PDW), and RBC distribution width (RDW). The receiver operating characteristic (ROC) curve was used to calculate the area under the ROC curve (AUC), sensitivity, specificity, and likelihood ratio for the platelet and RBC indices. Results Statistically significant increase in PDW (17.01 ± 0.91 vs. 14.8 ± 2.06; p < 0.0001) and RDW (16.56 ± 2.32 vs. 15.12 ± 2.43; p < 0.0001) levels were observed in patients with PD. PDW and mean corpuscular hemoglobin concentration had larger AUC (0.89 and 0.74, respectively) and Youden’s index (0.65 and 0.39, respectively), indicating their higher predictive capacity as well as higher sensitivity in discriminating patients with PD from healthy controls. Conclusion PDW can be considered a “good” diagnostic or predictive marker in patients with PD.

Intraoperative scrape cytology: Comparison with frozen sections, using receiver operating characteristic (ROC) curve

2000 ◽  
Vol 23 (2) ◽  
pp. 134-139 ◽  
Author(s):  
Vinod Shidham ◽  
Dilip Gupta ◽  
Lorenzo M. Galindo ◽  
Marian Haber ◽  
Carolyn Grotkowski ◽  
...  
Keyword(s):  
Receiver Operating Characteristic ◽  
Roc Curve ◽  
Operating Characteristic ◽  
Frozen Sections ◽  
Scrape Cytology ◽  
Receiver Operating
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