scholarly journals Validation of IOTA-ADNEX Model in Discriminating Characteristics of Adnexal Masses: A Comparison with Subjective Assessment

2020 ◽  
Vol 9 (6) ◽  
pp. 2010
Author(s):  
Soo Young Jeong ◽  
Byung Kwan Park ◽  
Yoo Young Lee ◽  
Tae-Joong Kim
Keyword(s):  
Ovarian Tumor ◽  
Operating Characteristic ◽  
Roc Curves ◽  
Subjective Assessment ◽  
Benign Diseases ◽  
Adnexal Masses ◽  
Ovarian Diseases ◽  
Benign Ovarian Tumors ◽  
Surgical Group

(1) Background: The aim of this study is to compare the IOTA-ADNEX (international ovarian tumor analysis–assessment of different neoplasias in the adnexa) model with gynecologic experts in differentiating ovarian diseases. (2) Methods: All participants in this prospective study underwent ultrasonography (US) equipped with the IOTA-ADNEXTM model and subjective assessment by a sonographic expert. Receiver operating characteristic (ROC) curves were also generated to compare overall accuracies. The optimal cut-off value of the ADNEX model for excluding benign diseases was calculated. (3) Results: Fifty-nine participants were eligible: 54 and 5 underwent surgery and follow-up computed tomography (CT), respectively. Benign and malignant diseases were confirmed in 49 (83.1%) and 10 (16.9%) participants, respectively. The specificity of the ADNEX model was 0.816 (95% confidence interval (CI): 0.680–0.912) in all participants and 0.795 (95% CI, 0.647–0.902) in the surgical group. The area under the ROC curve of the ADNEX model (0.924) was not significantly different from that of subjective assessment (0.953 in all participants, 0.951 in the surgical group; p = 0.391 in all participants, p = 0.407 in the surgical group). The optimal cut-off point using the ADNEX model was 47.3%, with a specificity of 0.977 (95% CI: 0.880–0.999). (4) Conclusions: The IOTA-ADNEX model is equal to gynecologic US experts in excluding benign ovarian tumors. Subsequently, being familiar with this US software may help gynecologic beginners to reduce unnecessary surgery.

scholarly journals Post-transplant monitoring of lymphocyte counts predict the occurrence of CMV infection in early phase of kidney transplantation

2020 ◽  
Author(s):  
Sujuan Feng ◽  
Jing Yang ◽  
Xiaodong Zhang
Keyword(s):  
Kidney Transplantation ◽  
Peripheral Blood ◽  
Operating Characteristic ◽  
Roc Curves ◽  
Transplant Recipients ◽  
Kidney Transplant Recipients ◽  
Cmv Infection ◽  
Post Transplantation ◽  
Cmv Dnaemia

Abstract Objectives The aim of this study was to assess whether monitoring of the number of lymphocytes in peripheral blood was helpful for evaluating the risk of cytomegalovirus (CMV) infection after kidney transplantation. Methods The total numbers of lymphocyte in peripheral blood were measured at baseline and posttransplant months 1, 3 and 6. Risk factors for DNAemia in KTRs were analyzed using univariate logistic regression analyses. Areas under receiver operating characteristic (ROC) curves were applied to assess the accuracy of lymphocyte counts for predicting CMV DNAemia. Results After follow-up 6 months, CMV replication was detected in 12 (31.6%) kidney transplant recipients (KTRs). The total lymphocyte counts were significantly decreased in KTRs with CMV DNAemia in 1, 3 and 6 months. There was a negative correlation between CMV copies and the lymphocyte counts in 1, 3 and 6 months post-transplantation, and the decrease of lymphocyte counts in the 6 months post-transplantation was the risk factor of CMV DNAemia in the KTR. Patients with lymphocyte counts 1.085×109 cells/L had higher cumulative incidence of CMV infection.Conclusions The lymphocyte counts post kidney transplantation may be used as a simple and effective indicator for monitoring the CMV infection status in KTR and for predicting the risk of CMV DNAemia.

Ambulant erworbene Pneumonie: Die Mortalität nachhaltig senken

2020 ◽  
Vol 8 (5) ◽  
pp. 252-253
Author(s):  
Stefan Krüger
Keyword(s):  
Operating Characteristic ◽  
Distress Syndrome ◽  
Area Under The Curve ◽  
Scoring Systems ◽  
Roc Curves ◽  
Community Acquired Pneumonia ◽  
Ambulant Erworbene Pneumonie ◽  
Icu Admission ◽  
Failure Assessment

Background: The study aimed to investigate the predictive value of the quick sequential organ failure assessment (qSOFA) for clinical outcomes in emergency patients with community-acquired pneumonia (CAP). Methods: A total of 742 CAP cases from the emergency department (ED) were enrolled in this study. The scoring systems including the qSOFA, SOFA and CURB-65 (confusion, urea, respiratory rate, blood pressure and age) were used to predict the prognostic outcomes of CAP in ICU-admission, acute respiratory distress syndrome (ARDS) and 28-day mortality. According to the area under the curve (AUC) of the receiver operating characteristic (ROC) curves, the accuracies of prediction of the scoring systems were analyzed among CAP patients. Results: The AUC values of the qSOFA, SOFA and CURB-65 scores for ICU-admission among CAP patients were 0.712 (95%CI: 0.678–0.745, P < 0.001), 0.744 (95%CI: 0.711–0.775, P < 0.001) and 0.705 (95%CI: 0.671–0.738, P < 0.001), respectively. For ARDS, the AUC values of the qSOFA, SOFA and CURB-65 scores were 0.730 (95%CI: 0.697–0.762, P < 0.001), 0.724 (95%CI: 0.690–0.756, P < 0.001) and 0.749 (95%CI: 0.716–0.780, P < 0.001), respectively. After 28 days of follow-up, the AUC values of the qSOFA, SOFA and CURB-65 scores for 28-day mortality were 0.602 (95%CI: 0.566–0.638, P < 0.001), 0.587 (95%CI: 0.551–0.623, P < 0.001) and 0.614 (95%CI: 0.577–0.649, P < 0.001) in turn. There were no statistical differences between qSOFA and SOFA scores for predicting ICU-admission (Z = 1.482, P = 0.138), ARDS (Z = 0.321, P = 0.748) and 28-day mortality (Z = 0.573, P = 0.567). Moreover, we found no differences to predict the ICU-admission (Z = 0.370, P = 0.712), ARDS (Z = 0.900, P = 0.368) and 28-day mortality (Z = 0.768, P = 0.442) using qSOFA or CURB-65 scores. Conclusion: qSOFA was not inferior to SOFA or CURB-65 scores in predicting the ICU-admission, ARDS and 28-day mortality of patients presenting in the ED with CAP.

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.

scholarly journals Overexpression of Notch3 and pS6 Is Associated with Poor Prognosis in Human Ovarian Epithelial Cancer

2016 ◽  
Vol 2016 ◽  
pp. 1-6 ◽  
Author(s):  
Zhaoxia Liu ◽  
Rongna Yun ◽  
Xiaolin Yu ◽  
Hui Hu ◽  
Genhua Huang ◽  
...  
Keyword(s):  
Tumor Angiogenesis ◽  
Ovarian Tumor ◽  
Clinical Stage ◽  
Epithelial Cancer ◽  
Ovarian Epithelial Cancer ◽  
Tumor Tissues ◽  
Potential Biomarker ◽  
Benign Ovarian Tumor ◽  
Benign Ovarian Tumors

Notch3 and pS6 play important roles in tumor angiogenesis. To assess the expression of Notch3 and pS6 in Chinese ovarian epithelial cancer patients, a ten-year follow-up study was performed in ovarian epithelial cancer tissues from 120 specimens of human ovarian epithelial cancer, 30 specimens from benign ovarian tumors, and 30 samples from healthy ovaries by immunohistochemistry. The results indicate that the expression of Notch3 and pS6 was higher in ovarian epithelial cancer than in normal ovary tissues and in benign ovarian tumor tissues (p<0.01). In tumor tissues, Notch3 expression and pS6 expression were negatively associated with age (p>0.05) but positively associated with clinical stage, pathological grading, histologic type, lymph node metastasis, and ascites (p<0.05orp<0.01). A follow-up survey of 64 patients with ovarian epithelial cancer showed that patients with high Notch3 and pS6 expression had a shorter survival time (p<0.01), in which the clinical stage (p<0.05) and Notch3 expression (p<0.01) played important roles. In conclusion, Notch3 and pS6 are significantly related to ovarian epithelial cancer development and prognosis, and their combination represents a potential biomarker and therapeutic target in ovarian tumor angiogenesis.

scholarly journals Post-transplant monitoring of lymphocyte counts predict the occurrence of CMV DNAemia in early phase of kidney transplantation

2020 ◽  
Author(s):  
Sujuan Feng ◽  
Jing Yang ◽  
Xiaodong Zhang
Keyword(s):  
Kidney Transplantation ◽  
Peripheral Blood ◽  
Operating Characteristic ◽  
Roc Curves ◽  
Transplant Recipients ◽  
Kidney Transplant Recipients ◽  
Cmv Infection ◽  
Post Transplantation ◽  
Cmv Dnaemia

Abstract Background The aim of this study was to assess whether monitoring of the number of lymphocytes in peripheral blood was helpful for evaluating the risk of cytomegalovirus (CMV) infection after kidney transplantation. Methods The total numbers of lymphocyte in peripheral blood were measured at baseline and posttransplant months 1, 3 and 6. Risk factors for DNAemia in KTRs were analyzed using univariate logistic regression analyses. Areas under receiver operating characteristic (ROC) curves were applied to assess the accuracy of lymphocyte counts for predicting CMV DNAemia. Results After follow-up 6 months, CMV replication was detected in 12 (31.6%) kidney transplant recipients (KTRs). The total lymphocyte counts were significantly decreased in KTRs with CMV DNAemia in 1, 3 and 6 months. There was a negative correlation between CMV copies and the lymphocyte counts in 1, 3 and 6 months post-transplantation, and the decrease of lymphocyte counts in the 6 months post-transplantation was the risk factor of CMV DNAemia in the KTR. Patients with lymphocyte counts 1.085×109 cells/L had higher cumulative incidence of CMV DNAemia.Conclusions The lymphocyte counts post kidney transplantation may be used as a simple and effective indicator for monitoring the CMV DNAemia status in KTR and for predicting the risk of CMV DNAemia.

Use of Receiver Operating Characteristic (ROC) Curves to Evaluate Computer Confidence Threshold and Clinical Performance in the Diagnosis of Appendicitis

1978 ◽  
Vol 17 (03) ◽  
pp. 157-161 ◽  
Author(s):  
F. T. De Dombal ◽  
Jane C. Horrocks
Keyword(s):  
Receiver Operating Characteristic ◽  
Operating Characteristic ◽  
Clinical Performance ◽  
Roc Curves ◽  
Final Diagnosis ◽  
Confidence Threshold ◽  
Computer Aided ◽  
Computer Confidence ◽  
Overall Performance ◽  
Receiver Operating

This paper uses simple receiver operating characteristic (ROC) curves (i) to study the effect of varying computer confidence of threshold levels and (ii) to evaluate clinical performance in the diagnosis of acute appendicitis. Over 1300 patients presenting to five centres with abdominal pain of short duration were studied in varying detail. Clinical and computer-aided diagnostic predictions were compared with the »final« diagnosis. From these studies it is concluded the simplistic setting of a 50/50 confidence threshold for the computer program is as »good« as any other. The proximity of a computer-aided system changed clinical behaviour patterns; a higher overall performance level was achieved and clinicians performance levels became associated with the »mildly conservative« end of the computers ROC curve. Prior forecasts of over-confidence or ultra-caution amongst clinicians using the computer-aided system have not been fulfilled.

scholarly journals MicroRNAs-1299, -126-3p and -30e-3p as Potential Diagnostic Biomarkers for Prediabetes

Diagnostics ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 949
Author(s):  
Cecil J. Weale ◽  
Don M. Matshazi ◽  
Saarah F. G. Davids ◽  
Shanel Raghubeer ◽  
Rajiv T. Erasmus ◽  
...  
Keyword(s):  
Receiver Operating Characteristic ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Predictive Ability ◽  
Roc Curves ◽  
Tolerance Test ◽  
Cross Sectional Study ◽  
Oral Glucose ◽  
Cross Sectional ◽  
Receiver Operating

This cross-sectional study investigated the association of miR-1299, -126-3p and -30e-3p with and their diagnostic capability for dysglycaemia in 1273 (men, n = 345) South Africans, aged >20 years. Glycaemic status was assessed by oral glucose tolerance test (OGTT). Whole blood microRNA (miRNA) expressions were assessed using TaqMan-based reverse transcription quantitative-PCR (RT-qPCR). Receiver operating characteristic (ROC) curves assessed the ability of each miRNA to discriminate dysglycaemia, while multivariable logistic regression analyses linked expression with dysglycaemia. In all, 207 (16.2%) and 94 (7.4%) participants had prediabetes and type 2 diabetes mellitus (T2DM), respectively. All three miRNAs were significantly highly expressed in individuals with prediabetes compared to normotolerant patients, p < 0.001. miR-30e-3p and miR-126-3p were also significantly more expressed in T2DM versus normotolerant patients, p < 0.001. In multivariable logistic regressions, the three miRNAs were consistently and continuously associated with prediabetes, while only miR-126-3p was associated with T2DM. The ROC analysis indicated all three miRNAs had a significant overall predictive ability to diagnose prediabetes, diabetes and the combination of both (dysglycaemia), with the area under the receiver operating characteristic curve (AUC) being significantly higher for miR-126-3p in prediabetes. For prediabetes diagnosis, miR-126-3p (AUC = 0.760) outperformed HbA1c (AUC = 0.695), p = 0.042. These results suggest that miR-1299, -126-3p and -30e-3p are associated with prediabetes, and measuring miR-126-3p could potentially contribute to diabetes risk screening strategies.

scholarly journals A novel predictor of clinical progression in patients on active surveillance for prostate cancer

2019 ◽  
Vol 13 (8) ◽  
Author(s):  
Guan Hee Tan ◽  
Antonio Finelli ◽  
Ardalan Ahmad ◽  
Marian Wettstein ◽  
Alexandre Zlotta ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Active Surveillance ◽  
Cox Regression ◽  
Area Under The Curve ◽  
Progression Free Survival ◽  
Roc Curves ◽  
Standard Of Care ◽  
Low Risk ◽  
Clinical Progression

Introduction: Active surveillance (AS) is standard of care in low-risk prostate cancer (PC). This study describes a novel total cancer location (TCLo) density metric and aims to determine its performance in predicting clinical progression (CP) and grade progression (GP).     Methods: This was a retrospective study of patients on AS after confirmatory biopsy (CBx). We excluded patients with Gleason ≥7 at CBx and <2 years follow-up. TCLo was the number of locations with positive cores at diagnosis (DBx) and CBx. TCLo density was TCLo / prostate volume (PV). CP was progression to any active treatment while GP occurred if Gleason ≥7 was identified on repeat biopsy or surgical pathology. Independent predictors of time to CP or GP were estimated with Cox regression. Kaplan-Meier analysis compared progression-free survival curves between TCLo density groups. Test characteristics of TCLo were explored with receiver operating characteristic (ROC) curves.     Results: We included 181 patients who had CBx between 2012-2015, and met inclusion criteria. The mean age of patients was 62.58 years (SD=7.13) and median follow-up was 60.9 months (IQR=23.4). A high TCLo density score (>0.05) was independently associated with time to CP (HR 4.70, 95% CI: 2.62-8.42, p<0.001), and GP (HR 3.85, 95% CI: 1.91-7.73, p<0.001). ROC curves showed TCLo density has greater area under the curve than number of positive cores at CBx in predicting progression.     Conclusion: TCLo density is able to stratify patients on AS for risk of CP and GP. With further validation, it could be added to the decision-making algorithm in AS for low-risk localized PC.

scholarly journals Sonographic Assessment of Complex Ultrasound Morphology in Pregnant Women with the Use of IOTA Simple Rules Risk and ADNEX Scoring Systems

Diagnostics ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 414
Author(s):  
Artur Czekierdowski ◽  
Norbert Stachowicz ◽  
Agata Smoleń ◽  
Tomasz Kluz ◽  
Tomasz Łoziński ◽  
...  
Keyword(s):  
Pregnant Women ◽  
Risk Model ◽  
Malignant Tumors ◽  
Scoring Systems ◽  
Subjective Assessment ◽  
Risk Level ◽  
Likelihood Ratios ◽  
Predictive Values ◽  
Adnexal Masses ◽  
Simple Rules

Background: To evaluate the accuracy of subjective assessment (SA), the International Ovarian Tumor Analysis (IOTA) group Simple Rules Risk (SRR) and the Assessment of Different NEoplasias in the adneXa (ADNEX) model for the preoperative differentiation of adnexal masses in pregnant women. Methods: The study population comprised 36 pregnant women (median age: 28.5 years old, range: 20–42 years old) with a mean gestation age of 13.5 (range: 8–31) weeks at diagnosis. Tumors were prospectively classified by local sonographers as probably benign or probably malignant using SA. Final tumor histological diagnosis was used as the reference standard in all cases. Logistic regression SRR and ADNEX models were used to obtain a risk score for every case. Serum CA125 and human epidydimis protein 4 (HE4) concentrations were also retrieved and the Risk of Ovarian Malignancy Algorithm (ROMA) value was calculated. The calculated predictive values included positive and negative likelihood ratios of ultrasound and biochemical tests. Results: Final histology confirmed 27 benign and 9 malignant (including 2 borderline) masses. The highest sensitivity (89%) and specificity (70%) were found for the subjective tumor assessment. Although no malignancy was classified as benign using the SRR criteria (sensitivity = 100%), the specificity of this scoring system was only 37%. At the cut-off risk level of >20%, the ADNEX model had a sensitivity of 78% and a specificity of 70%. Serum levels of CA125, HE4 and the ROMA risk model correctly identified adnexal malignant tumors with a sensitivity of 67%, 25% and 25%, respectively. Corresponding specificities were 72%, 100% and 100%, respectively. The highest positive and negative likelihood ratios were found for SA (LR+ = 3.0 and LR− = 0.16, respectively). Overall diagnostic accuracy of all predictive methods used in this study were similar (range: 70–75%) except for SRR (53%). Conclusion: Subjective assessment remains the best predictive method in complex adnexal masses found at prenatal ultrasound in pregnant women. For less experienced sonographers, both the SRR and ADNEX scoring systems may be also used for the characterization of such tumors, while serum tumor markers CA125 and HE4, along with the ROMA algorithm appear to be less accurate.

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