Logistic regression model to distinguish between the benign and malignant adnexal mass before surgery: a multicenter study by the International Ovarian Tumor Analysis Group.
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The Value of Ultrasound Monitoring of Adnexal Masses for Early Detection of Ovarian Cancer.Added Value of Assessing Adnexal Masses with Advanced MRI TechniquesComprehensive serum profiling for the discovery of epithelial ovarian cancer biomarkersCoregistered photoacoustic and ultrasound imaging and classification of ovarian cancer: ex vivo and in vivo studiesReliability of preoperative evaluation of postmenopausal ovarian tumorsKey findings from the International Ovarian Tumor Analysis (IOTA) study: an approach to the optimal ultrasound based characterisation of adnexal pathologyOvarian thecoma-fibroma groups: clinical and sonographic features with pathological comparison.Strategies to diagnose ovarian cancer: new evidence from phase 3 of the multicentre international IOTA study.Towards an evidence-based approach for diagnosis and management of adnexal masses: findings of the International Ovarian Tumour Analysis (IOTA) studiesPractical guidance for applying the ADNEX model from the IOTA group to discriminate between different subtypes of adnexal tumorsEvaluating the risk of ovarian cancer before surgery using the ADNEX model to differentiate between benign, borderline, early and advanced stage invasive, and secondary metastatic tumours: prospective multicentre diagnostic study.Multicentre external validation of IOTA prediction models and RMI by operators with varied training.Screening for data clustering in multicenter studies: the residual intraclass correlation.Simple ultrasound rules to distinguish between benign and malignant adnexal masses before surgery: prospective validation by IOTA groupPolytomous diagnosis of ovarian tumors as benign, borderline, primary invasive or metastatic: development and validation of standard and kernel-based risk prediction models.Development and preliminary evaluation of a multivariate index assay for ovarian cancer.Clinical data miner: an electronic case report form system with integrated data preprocessing and machine-learning libraries supporting clinical diagnostic model research.Usefulness of diagnostic indices comprising clinical, sonographic, and biomarker data for discriminating benign from malignant ovarian masses.Gynecologic imaging reporting and data system: a new proposal for classifying adnexal masses on the basis of sonographic findings.Evaluation of markers and risk prediction models: overview of relationships between NRI and decision-analytic measures.Estimating risk of malignancy in adnexal masses: external validation of the ADNEX model and comparison with other frequently used ultrasound methods.A new scoring model for characterization of adnexal masses based on two-dimensional gray-scale and colour Doppler sonographic features.Clinically oriented three-step strategy for assessment of adnexal pathology.Improving strategies for diagnosing ovarian cancer: a summary of the International Ovarian Tumor Analysis (IOTA) studies.Presurgical diagnosis of adnexal tumours using mathematical models and scoring systems: a systematic review and meta-analysis.Imaging in gynaecology: How good are we in identifying endometriomas?Risk of epithelial ovarian cancer in asymptomatic women with ultrasound-detected ovarian masses: a prospective cohort study within the UK collaborative trial of ovarian cancer screening (UKCTOCS).Visualizing Risk Prediction ModelsRobust Logistic and Probit Methods for Binary and Multinomial Regression.Multianalyte assay systems in the differential diagnosis of ovarian cancer.Transvaginal ultrasound assessment of the premenopausal ovarian mass.Diagnostic performance of the Gynecology Imaging Reporting and Data System for malignant adnexal masses.Clinical Use of Cancer Biomarkers in Epithelial Ovarian Cancer: Updated Guidelines From the European Group on Tumor MarkersRefining Ovarian Cancer Test accuracy Scores (ROCkeTS): protocol for a prospective longitudinal test accuracy study to validate new risk scores in women with symptoms of suspected ovarian cancer.Single port access laparoscopic surgery for large adnexal tumors: Initial 51 cases of a single institute.A short history of sonography in obstetrics and gynaecology.Triple-negative breast cancer: present challenges and new perspectives.Risk of malignancy in unilocular cysts: a study of 1148 adnexal masses classified as unilocular cysts at transvaginal ultrasound and review of the literature.Doppler imaging in the diagnosis of ovarian disease.Supporting the wider use of laparoscopy in the treatment of ovarian masses.
P2860
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P2860
Logistic regression model to distinguish between the benign and malignant adnexal mass before surgery: a multicenter study by the International Ovarian Tumor Analysis Group.
description
2005 nî lūn-bûn
@nan
2005 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2005 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2005年の論文
@ja
2005年論文
@yue
2005年論文
@zh-hant
2005年論文
@zh-hk
2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
@wuu
name
Logistic regression model to d ...... Ovarian Tumor Analysis Group.
@ast
Logistic regression model to d ...... Ovarian Tumor Analysis Group.
@en
Logistic regression model to d ...... Ovarian Tumor Analysis Group.
@nl
type
label
Logistic regression model to d ...... Ovarian Tumor Analysis Group.
@ast
Logistic regression model to d ...... Ovarian Tumor Analysis Group.
@en
Logistic regression model to d ...... Ovarian Tumor Analysis Group.
@nl
prefLabel
Logistic regression model to d ...... Ovarian Tumor Analysis Group.
@ast
Logistic regression model to d ...... Ovarian Tumor Analysis Group.
@en
Logistic regression model to d ...... Ovarian Tumor Analysis Group.
@nl
P2093
P50
P356
P1476
Logistic regression model to d ...... l Ovarian Tumor Analysis Group
@en
P2093
Antonia C Testa
Dirk Timmerman
Enrico Ferrazzi
International Ovarian Tumor Analysis Group
Lieveke Ameye
Lil Valentin
Maja L Konstantinovic
Sabine Van Huffel
William P Collins
P304
P356
10.1200/JCO.2005.01.7632
P407
P577
2005-12-01T00:00:00Z