Key findings from the International Ovarian Tumor Analysis (IOTA) study: an approach to the optimal ultrasound based characterisation of adnexal pathology

2012/08/01 by J. Kaijser, T. Bourne, Sylvie De Rijdt +5 · 7 citations
Medicine · #Ovarian cancer diagnosis and treatment #Endometrial and Cervical Cancer Treatments #Gynecological conditions and treatments #Medicine #Ultrasound #Transvaginal ultrasound #Principal (computer security) #Key (lock) #Radiology #Pathology #Medical physics #Computer science

paper · pdf · doi:10.1002/j.2205-0140.2012.tb00011.x

published in Australasian Journal of Ultrasound in Medicine 15(3), 82-86 (Wiley)

openalex publication_date 2012/08/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/29

Abstract

The principal aim of the IOTA project has been to develop approaches to the evaluation of adnexal pathology using ultrasound that can be transferred to all examiners. Creating models that use simple, easily reproducible ultrasound characteristics is one approach.

Citations

• Terms, definitions and measurements to describe the sonographic features of adnexal tumors: a consensus opinion from the International Ovarian Tumor Analysis (IOTA) group
• Simple ultrasound‐based rules for the diagnosis of ovarian cancer

Cited by

• Ovarian cancer [wikipedia]

Related

• Interobserver agreement in describing adnexal masses using the International Ovarian Tumor Analysis simple rules in a real-time setting and using three-dimensional ultrasound volumes and digital clips
• Intra‐ and interobserver agreement when describing adnexal masses using the International Ovarian Tumor Analysis terms and definitions: a study on three‐dimensional ultrasound volumes
• Ovarian cancer prediction in adnexal masses using ultrasound‐based logistic regression models: a temporal and external validation study by the IOTA group
• Subjective assessment of adnexal masses with the use of ultrasonography: an analysis of interobserver variability and experience
• Simple ultrasound‐based rules for the diagnosis of ovarian cancer