Christina K Rasmussen1, Estrid S Hansen2, Erik Ernst3, Margit Dueholm4. 1. Department of Gynecology and Obstetrics, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, Aarhus 8200, Denmark. Electronic address: christinakr@clin.au.dk. 2. Department of Pathology, Aarhus University Hospital, Noerrebrogade 44, Aarhus 8000, Denmark. 3. Department of Gynecology and Obstetrics, Horsens Regional Hospital, Sundvej 30, Horsens 8700. 4. Department of Gynecology and Obstetrics, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, Aarhus 8200, Denmark.
Abstract
RESEARCH QUESTION: How diagnostically accurate is two-dimensional (2D-TVS) compared with three-dimensional transvaginal ultrasonography (3D-TVS) in diagnosing adenomyosis of the inner myometrium. What is the most accurate combination of ultrasonographic features? DESIGN: Premenopausal women (n = 110) scheduled for hysterectomy or transcervical resection of the endomyometrium owing to abnormal uterine bleeding were consecutively enrolled. All participants had real-time 2D-TVS and, later, blinded off-line 3D-TVS to diagnose adenomyosis. Results were compared with a detailed histopathological examination of the inner myometrium as gold standard. RESULTS: Prevalence of adenomyosis of the inner myometrium was 29%. For 2D-TVS and 3D-TVS, respectively, the diagnostic accuracy was sensitivity 72% (95% CI 53 to 86) and 69% (95% CI 50 to 84); specificity 76% (95% CI 65 to 85) and 86% (95% CI 76-93); and area under the curve (AUC) 0.74 (95% CI 0.7 to 0.8) and 0.77 (95% CI 0.7 to 0.9). Specificity of 3D-TVS was not statistically significantly better than 2D-TVS; the difference between them almost reached statistical significance (P = 0.06). The most accurate three-dimensional feature was junctional zone irregularity (JZmax-JZmin ≥5mm) (AUC: 0.78). A combination of two or more two-dimensional and two or more three-dimensional features was highly accurate (AUC: 0.77). CONCLUSIONS: For diagnosing adenomyosis of the inner myometrium, 3D-TVS offers a high accuracy similar to 2D-TVS. Identification of junctional zone irregularity with 3D-TVS may be beneficial to diagnosis. Two or more two-dimensional features and two or more three-dimensional features combined may give a more objective diagnosis, and may be useful for clinical practice and future research.
RESEARCH QUESTION: How diagnostically accurate is two-dimensional (2D-TVS) compared with three-dimensional transvaginal ultrasonography (3D-TVS) in diagnosing adenomyosis of the inner myometrium. What is the most accurate combination of ultrasonographic features? DESIGN: Premenopausal women (n = 110) scheduled for hysterectomy or transcervical resection of the endomyometrium owing to abnormal uterine bleeding were consecutively enrolled. All participants had real-time 2D-TVS and, later, blinded off-line 3D-TVS to diagnose adenomyosis. Results were compared with a detailed histopathological examination of the inner myometrium as gold standard. RESULTS: Prevalence of adenomyosis of the inner myometrium was 29%. For 2D-TVS and 3D-TVS, respectively, the diagnostic accuracy was sensitivity 72% (95% CI 53 to 86) and 69% (95% CI 50 to 84); specificity 76% (95% CI 65 to 85) and 86% (95% CI 76-93); and area under the curve (AUC) 0.74 (95% CI 0.7 to 0.8) and 0.77 (95% CI 0.7 to 0.9). Specificity of 3D-TVS was not statistically significantly better than 2D-TVS; the difference between them almost reached statistical significance (P = 0.06). The most accurate three-dimensional feature was junctional zone irregularity (JZmax-JZmin ≥5mm) (AUC: 0.78). A combination of two or more two-dimensional and two or more three-dimensional features was highly accurate (AUC: 0.77). CONCLUSIONS: For diagnosing adenomyosis of the inner myometrium, 3D-TVS offers a high accuracy similar to 2D-TVS. Identification of junctional zone irregularity with 3D-TVS may be beneficial to diagnosis. Two or more two-dimensional features and two or more three-dimensional features combined may give a more objective diagnosis, and may be useful for clinical practice and future research.
Authors: M J Harmsen; T Van den Bosch; R A de Leeuw; M Dueholm; C Exacoustos; L Valentin; W J K Hehenkamp; F Groenman; C De Bruyn; C Rasmussen; L Lazzeri; L Jokubkiene; D Jurkovic; J Naftalin; T Tellum; T Bourne; D Timmerman; J A F Huirne Journal: Ultrasound Obstet Gynecol Date: 2022-07 Impact factor: 8.678