Inter‐rater agreement in the diagnosis of adenomyosis by 2‐ and 3‐dimensional transvaginal ultrasonography
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Diagnosis of adenomyosis showed good inter-rater agreement with 2D TVUS but poor agreement with 3D TVUS.
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Abstract
OBJECTIVES: To assess the inter-rater agreement of 2-dimensional (2D) and 3-dimensional (3D) transvaginal ultrasonography (TVUS) in the diagnosis of adenomyosis. METHODS: This prospective study included premenopausal women (n = 96) with heavy menstrual bleeding, menstrual pain, or both who were scheduled for hysterectomy or transcervical resection of the endometrium. All women underwent real-time 2D TVUS and subsequently offline 3D TVUS, which was blinded to 2D TVUS, by a single expert rater and a single nonexpert rater for the diagnosis of adenomyosis based on standardized pattern recognition and junctional zone measurements. Three-dimensional TVUS was done on a computer with 3D volumes recorded during 2D TVUS by both raters. The expert rater reported the image quality of all 3D volumes (n = 192). Inter-rater agreement (Cohen's κ) was assessed for both techniques, and the improvement over time was assessed for 2D TVUS. RESULTS: Diagnosis of adenomyosis showed good (κ = 0.69) and poor (κ = 0.21) inter-rater agreement with 2D and 3D TVUS, respectively (P < .05). The agreement with 2D TVUS improved over time. The agreement with 3D TVUS was slightly better for expert-recorded 3D volumes (κ = 0.40), which also had better image quality (P < .05). The most reproducible 2D and 3D features were anechoic lacunae (κ = 0.52) and junctional zone irregularity (κ = 0.27), respectively. CONCLUSIONS: Standardized pattern recognition during real-time 2D TVUS may result in good agreement between expert and nonexpert raters for the diagnosis of adenomyosis. Offline 3D TVUS is less reproducible, and junctional zone measurements do not improve the inter-rater agreement. The low inter-rater agreement may be related to a lack of experience and low image quality of nonexpert-recorded 3D volumes.
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- Phenotypic heterogeneity in adenomyosis: internal and external subtypes 2025
- Uterine peristalsis in women affected by adenomyosis: A step towards functional assessment 2024
- Ultrasound Elastography in Benign Gynecology: A Scoping Review 2024
- Prevalence of adenomyosis features in women scheduled for assisted reproductive treatment, using the Morphological Uterus Sonographic Assessment group definitions 2024
- Inter-rater Agreement for Diagnosing Adenomyosis Using Magnetic Resonance Imaging and Transvaginal Ultrasonography 2023
- Inter-Rater Agreement for Diagnosing Adenomyosis Using Magnetic Resonance Imaging and Transvaginal Ultrasonography 2023
- Adenomyosis: Transvaginal Ultrasound and Imaging Innovations for Diagnosis 2023
- Current Non-Invasive Imaging Techniques Used in the Diagnosis of Adenomyosis 2023
- Differences clinical characteristics and factors in intrinsic and extrinsic adenomyosis 2023
- Diagnóstico ecográfico de la endometriosis y los miomas 2023
- Prediction of adenomyosis diagnosis based on MRI 2023
- Role of ultrasonography in the evaluation of disease severity and treatment efficacy in adenomyosis 2023
- Noninvasive Diagnosis of Adenomyosis: Ultrasonography 2022
- Myometrial wall thickness ratio—A nomogram reference for diagnosing myometrial wall asymmetry 2022
- Noninvasive Diagnosis of Adenomyosis: Ultrasonography 2022
- The ADENO study: ADenomyosis and its Effect on Neonatal and Obstetric outcomes: a retrospective population-based study 2022
- Ultrasound Manifestation and Classification of Adenomyosis 2021
- Endometriosis 2020
- Adenomyosis 2020
- Imaging Diagnosis of Adenomyosis 2020
- Three‐dimensional ultrasound diagnosis of adenomyosis is not associated with adverse pregnancy outcome following single thawed euploid blastocyst transfer: prospective cohort study 2020
- Ultrasound Role in Management of Female Infertility 2020
- Sonographic 3D Features Correlated to Uterine Pathological Issues 2019
- A critical review of recent advances in the diagnosis, classification, and management of uterine adenomyosis 2019
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