相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。External Validation of the Assessment of Different NEoplasias in the adneXa Model Performance in Evaluating the Risk of Ovarian Carcinoma Before Surgery in China A Tertiary Center Study
Yixin Zhang et al.
JOURNAL OF ULTRASOUND IN MEDICINE (2022)
Two-Step Strategy for Optimizing the Preoperative Classification of Adnexal Masses in a University Hospital, Using International Ovarian Tumor Analysis Models Simple Rules and Assessment of Different NEoplasias in the adneXa Model
Alba Liliana Esquivel Villabona et al.
JOURNAL OF ULTRASOUND IN MEDICINE (2022)
Evaluation of the Diagnostic Value of the Ultrasound ADNEX Model for Benign and Malignant Ovarian Tumors
Xiao-Shan Peng et al.
INTERNATIONAL JOURNAL OF GENERAL MEDICINE (2021)
Estimating the risk of malignancy of adnexal masses: validation of the ADNEX model in the hands of nonexpert ultrasonographers in a gynaecological oncology centre in China
Ping He et al.
JOURNAL OF OVARIAN RESEARCH (2021)
Sonographic Assessment of Complex Ultrasound Morphology Adnexal Tumors in Pregnant Women with the Use of IOTA Simple Rules Risk and ADNEX Scoring Systems
Artur Czekierdowski et al.
DIAGNOSTICS (2021)
Preoperative Evaluation of the ADNEX Model for the Prediction of the Ovarian Cancer Risk of Adnexal Masses at Siriraj Hospital
Vitcha Poonyakanok et al.
GYNECOLOGIC AND OBSTETRIC INVESTIGATION (2021)
Ultrasonographic evaluation of ovarian mass for predicting malignancy in pregnant women
Se Jin Lee et al.
GYNECOLOGIC ONCOLOGY (2021)
Comparison of the Diagnostic Performances of Ultrasound-Based Models for Predicting Malignancy in Patients With Adnexal Masses
Le Qian et al.
FRONTIERS IN ONCOLOGY (2021)
Assessment of different NEoplasias in the adneXa model for differentiation of benign and malignant adnexal masses in Korean women
Gina Nam et al.
OBSTETRICS & GYNECOLOGY SCIENCE (2021)
The ADNEX model to triage adnexal masses: An external validation study and comparison with the IOTA two-step strategy and subjective assessment by an experienced ultrasound operator
Elsa Viora et al.
EUROPEAN JOURNAL OF OBSTETRICS & GYNECOLOGY AND REPRODUCTIVE BIOLOGY (2020)
Validation of IOTA-ADNEX Model in Discriminating Characteristics of Adnexal Masses: A Comparison with Subjective Assessment
Soo Young Jeong et al.
JOURNAL OF CLINICAL MEDICINE (2020)
Validation of models to diagnose ovarian cancer in patients managed surgically or conservatively: multicentre cohort study
Ben Van Calster et al.
BMJ-BRITISH MEDICAL JOURNAL (2020)
Preoperative discriminating performance of the IOTA-ADNEX model and comparison with Risk of Malignancy Index: an external validation in a non-gynecologic oncology tertiary center
N. Tug et al.
EUROPEAN JOURNAL OF GYNAECOLOGICAL ONCOLOGY (2020)
Development and validation of a model that includes two ultrasound parameters and the plasma D-dimer level for predicting malignancy in adnexal masses: an observational study
Maciej Stukan et al.
BMC CANCER (2019)
Performance of IOTA ADNEX model in evaluating adnexal masses in a gynecological oncology center in China
H. Chen et al.
ULTRASOUND IN OBSTETRICS & GYNECOLOGY (2019)
Risk scores to guide referral decisions for people with suspected ovarian cancer in secondary care: a systematic review and cost-effectiveness analysis
Marie Westwood et al.
HEALTH TECHNOLOGY ASSESSMENT (2018)
Performance of the IOTA ADNEX model in preoperative discrimination of adnexal masses in a gynecological oncology center
K. G. Araujo et al.
ULTRASOUND IN OBSTETRICS & GYNECOLOGY (2017)
Estimating risk of malignancy in adnexal masses: external validation of the ADNEX model and comparison with other frequently used ultrasound methods
E. M. J. Meys et al.
ULTRASOUND IN OBSTETRICS & GYNECOLOGY (2017)
Epidemiology of ovarian cancer: a review
Brett M. Reid et al.
CANCER BIOLOGY & MEDICINE (2017)
Clinical Utility of Risk Models to Refer Patients with Adnexal Masses to Specialized Oncology Care: Multicenter External Validation Using Decision Curve Analysis
Laure Wynants et al.
CLINICAL CANCER RESEARCH (2017)
Validation of the Performance of International Ovarian Tumor Analysis (IOTA) Methods in the Diagnosis of Early Stage Ovarian Cancer in a Non-Screening Population
Wouter Froyman et al.
DIAGNOSTICS (2017)
Evaluating the risk of ovarian cancer before surgery using the ADNEX model: a multicentre external validation study
A. Sayasneh et al.
BRITISH JOURNAL OF CANCER (2016)
Subjective assessment versus ultrasound models to diagnose ovarian cancer: A systematic review and meta-analysis
E. M. J. Meys et al.
EUROPEAN JOURNAL OF CANCER (2016)
External validation of the IOTA ADNEX model performed by two independent gynecologic centers
Sebastian Szubert et al.
GYNECOLOGIC ONCOLOGY (2016)
Before surgery predictability of malignant ovarian tumors based on ADNEX model and its use in clinical practice
E. Joyeux et al.
GYNECOLOGIE OBSTETRIQUE & FERTILITE (2016)
Diagnostic performance of IOTA simple rules for adnexal masses classification: a comparison between two centers with different ovarian cancer prevalence
Beatriz Ruiz de Gauna et al.
EUROPEAN JOURNAL OF OBSTETRICS & GYNECOLOGY AND REPRODUCTIVE BIOLOGY (2015)
Staging classification for cancer of the ovary, fallopian tube, and peritoneum
Jaime Prat
INTERNATIONAL JOURNAL OF GYNECOLOGY & OBSTETRICS (2014)
Use of IOTA simple rules for diagnosis of ovarian cancer: meta-analysis
N. Nunes et al.
ULTRASOUND IN OBSTETRICS & GYNECOLOGY (2014)
ESSAY Evidence based medicine: a movement in crisis?
Trisha Greenhalgh et al.
BMJ-BRITISH MEDICAL JOURNAL (2014)
Evaluating 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
Ben Van Calster et al.
BMJ-BRITISH MEDICAL JOURNAL (2014)
Lesion size affects diagnostic performance of IOTA logistic regression models, IOTA simple rules and risk of malignancy index in discriminating between benign and malignant adnexal masses
A. Di Legge et al.
ULTRASOUND IN OBSTETRICS & GYNECOLOGY (2012)
QUADAS-2: A Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies
Penny F. Whiting et al.
ANNALS OF INTERNAL MEDICINE (2011)
Comparison of 'pattern recognition' and logistic regression models for discrimination between benign and malignant pelvic masses: a prospective cross validation
L Valentin et al.
ULTRASOUND IN OBSTETRICS & GYNECOLOGY (2001)
分享论文
