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临床试验/NCT02847832
NCT02847832Unknown不适用

Prospective Validation and Comparison of Subjective Assessment, the International Ovarian Tumor Analysis (IOTA) ADNEX Model, Logistic Regression Model LR2, Simple Rules and the Risk of Malignancy Index (RMI) for Discrimination Between Benign and Malignant Adnexal Masses in the Hands of Ultrasound Examiners With Different Levels of Experience

KU Leuven1 个研究点 分布在 1 个国家目标入组 1,700 人开始时间: 2016年10月最近更新:
适应症

试验速览

阶段
不适用
发起方
KU Leuven
入组人数
1,700
试验地点
1
主要终点
Sensitivity, specificity, positive and negative likelihood ratios with regard to detection of malignancy for different ultrasound methods

研究概览

简要总结

The ability of different methods to discriminate between benign and malignant adnexal masses has been compared in a meta-analysis showing that the IOTA Simple Rules and the IOTA logistic regression model LR2 were superior to RMI and to all other methods for predicting malignancy in an adnexal mass included in the meta-analysis. However, a fair comparison of methods requires them to be applied on the same tumor population.

The general objective of this study is to prospectively validate the Simple Rules, ADNEX, the Simple Rules risk model, LR2, and RMI on a large multicenter dataset to allow direct comparison of these tools.

IOTA7 is an international multicenter prospective observational study including different types of ultrasound centers and examiners with different levels of ultrasound experience. In total, about 1700 adnexal masses with histological outcome will be included in IOTA 7.

详细描述

Ovarian cancer is a common and lethal disease for which early detection and treatment in high volume centers and by specialized clinicians is known to improve survival. Hence, accurate methods to preoperatively characterize the nature of an ovarian tumor are pivotal.

The best ultrasound method for discrimination between benign and malignant adnexal masses is subjective assessment, i.e. subjective evaluation of ultrasound findings. Subjective assessment, however, requires a very experienced ultrasound examiner. More objective methods may be preferred by less experienced examiners who are not confident with using subjective assessment. The Risk of Malignancy Index (RMI) is one such method. There are also more recently developed methods. The International Ovarian Tumor Analysis (IOTA) group have created logistic regression models (LR1, LR2, and the ADNEX model) including clinical and ultrasound information to calculate the likelihood of malignancy in adnexal masses.

The IOTA group has also suggested simple ultrasound rules that can be used to classify adnexal masses as benign or malignant.

The ability of different methods to discriminate between benign and malignant adnexal masses has been compared in a meta-analysis showing that the IOTA Simple Rules and the IOTA logistic regression model LR2 were superior to RMI and to all other methods for predicting malignancy in an adnexal mass included in the meta-analysis. However, a fair comparison of methods requires them to be applied on the same tumor population.

The general objective of this study is to prospectively validate the Simple Rules, ADNEX, the Simple Rules risk model, LR2, and RMI on a large multicenter dataset to allow direct comparison of these tools. The patients will be examined by operators of varying levels of experience, such that the investigators can study how experience might affect diagnostic performance.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Prospective

入排标准

性别
Female
接受健康志愿者

入选标准

  • Any woman presenting with an adnexal mass judged not to be physiological and likely to undergo surgery (primarily planned for surgical management based on subjective assessment by the ultrasound examiner; however, the ultrasound examiner is allowed to change the advised management to conservative management after the results of Simple Rules or ADNEX are known).
  • Pregnant patients can be included but will be analysed separately.
  • Patients finally selected for conservative management can be included but will not be used for all statistical analyses.
  • For patients selected for surgery, delay of surgery is not an exclusion criterion for this study, but for selected objectives only those patients in whom surgery was performed within 180 days after the ultrasound examination will be assessed.
  • Patients can be selected at any age, but for patients <18 years old, a guardian's permission should be obtained.
  • Patients that only underwent transabdominal scanning can be included in the study, but will be analysed separately.

排除标准

  • Previous bilateral adnexectomy
  • Denial or withdrawal of informed consent

结局指标

主要结局

Sensitivity, specificity, positive and negative likelihood ratios with regard to detection of malignancy for different ultrasound methods

时间窗: During estimated recruitment period of 2 years. Gold standard is histopathology diagnosis within 180 days after ultrasound examination.

AUCs for discrimination between benign and malignant masses for prediction models.

时间窗: During estimated recruitment period of 2 years. Gold standard is histopathology diagnosis within 180 days after ultrasound examination.

次要结局

  • AUCs for prediction models, in hands of examiners with different level of experience.(During estimated recruitment period of 2 years. Gold standard is histopathology diagnosis within 180 days after ultrasound examination.)
  • Flexible calibration curves based on local regression (loess) to assess calibration of the estimated risks on malignancy given by the risk prediction models.(During estimated recruitment period of 2 years. Gold standard is histopathology diagnosis within 180 days after ultrasound examination.)
  • Sensitivity, specificity, positive and negative likelihood ratios with regard to detection of malignancy for different ultrasound methods, in hands of examiners with different level of experience.(During estimated recruitment period of 2 years. Gold standard is histopathology diagnosis within 180 days after ultrasound examination.)
  • AUCs for prediction models, where the Simple Rules are inconclusive.(During estimated recruitment period of 2 years. Gold standard is histopathology diagnosis within 180 days after ultrasound examination.)
  • Sensitivity and specificity with regard to malignancy at different risk cutoffs, for a risk prediction model in unilocular cysts with papillations based on a limited number of variables selected a priori.(During estimated recruitment period of 2 years. Gold standard is histopathology diagnosis within 180 days after ultrasound examination.)
  • AUC for a risk prediction model in unilocular cysts with papillations based on a limited number of variables selected a priori.(During estimated recruitment period of 2 years. Gold standard is histopathology diagnosis within 180 days after ultrasound examination.)
  • Sensitivity, specificity, positive and negative likelihood ratios with regard to detection of malignancy for different ultrasound methods, where the Simple Rules are inconclusive.(During estimated recruitment period of 2 years. Gold standard is histopathology diagnosis within 180 days after ultrasound examination.)
  • Change of the suggested management based on subjective assessment depending on the level of expertise of the ultrasound examiner, after results of the Simple Rules have been shown.(During estimated recruitment period of 2 years. Gold standard is histopathology diagnosis within 180 days after ultrasound examination.)
  • Adjusted odds ratios with regard to malignancy for selected ultrasound characteristics, mainly papillation characteristics, in the subgroup of unilocular cysts with papillations.(During estimated recruitment period of 2 years. Gold standard is histopathology diagnosis within 180 days after ultrasound examination.)
  • Polytomous discrimination index for the ADNEX model to discriminate between different classes of histology.(During estimated recruitment period of 2 years. Gold standard is histopathology diagnosis within 180 days after ultrasound examination.)
  • AUCs for each pair of outcome categories using the conditional risk method for the ADNEX model to discriminate between different classes of histology.(During estimated recruitment period of 2 years. Gold standard is histopathology diagnosis within 180 days after ultrasound examination.)
  • Multinomial calibration curves for the ADNEX model to predict benign tumors, borderline tumors, stage 1 primary ovarian cancer, stage 2-4 primary ovarian cancer and metastatic cancer.(During estimated recruitment period of 2 years. Gold standard is histopathology diagnosis within 180 days after ultrasound examination.)

研究者

发起方
KU Leuven
申办方类型
Other
责任方
Principal Investigator
主要研究者

Dirk Timmerman

Prof. Dr.

KU Leuven

研究点 (1)

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