Three-dimensional transvaginal ultrasound provides clearer delineation of myometrial invasion in a patient with endometrial cancer and uterine leiomyoma

2003 ◽  
Vol 22 (4) ◽  
pp. 434-436 ◽  
Author(s):  
M.-T. Su ◽  
R.-M. Su ◽  
C.-T. Yue ◽  
C.-Y. Chou ◽  
C.-C. Hsu ◽  
...  
Keyword(s):  
Endometrial Cancer ◽  
Uterine Leiomyoma ◽  
Transvaginal Ultrasound ◽  
Three Dimensional ◽  
Myometrial Invasion

scholarly journals Transvaginal three-dimensional ultrasound for preoperative assessment of myometrial invasion in patients with endometrial cancer: a systematic review and meta-analysis

2021 ◽  
Author(s):  
Tatiana Costas ◽  
Rocío Belda ◽  
Juan Luis Alcazar
Keyword(s):  
Endometrial Cancer ◽  
Diagnostic Accuracy ◽  
Frozen Section ◽  
Meta Analysis ◽  
Transvaginal Ultrasound ◽  
Three Dimensional ◽  
Myometrial Invasion ◽  
Negative Likelihood Ratio ◽  
Preoperative Assessment ◽  
Standard Material

Aim: The aim of this meta-analysis is to evaluate the diagnostic accuracy of three-dimensional transvaginal ultrasound subjective assessment (3D-TVS) in the preoperative detection of deep myometrial invasion (MI) in patients with endometrial cancer, using definitive frozen section diagnosis after surgery as the reference standard. Material and methods: A search for studies evaluating the role of 3D-TVS for assessing myometrial invasion in endometrial cancer from January 1990 to Novem-ber 2020 was performed in PubMed/MEDLINE and Web of Science. The Quality Assessment of Diagnostic Accuracy Studies 2 evaluated the quality of the studies (QUADAS-2). All analyses were performed using MIDAS and METANDI commands. Results: Nine studies comprising 581 women were included. The mean prevalence of deep MI was 39.8%. QUADAS as-sessment showed that most studies had a high risk for the patient selection domain. Overall, the pooled estimated sensitivity, specificity, positive likelihood and negative likelihood ratio of 3D-TVS for detecting deep MI were 84% (95% CI, 73-90%), 82% (95% CI, 75-88%), 5 (95% CI, 3.1-7.1) and 0.20 95% CI, 0.11-0.35). respectively. Conclusions: 3D-TVS has an accept-able diagnostic performance for detecting MI in women with endometrial cancer.

Sonographic and histopathologic characteristics of MMR-deficient endometrial cancer.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e17111-e17111
Author(s):  
Daniel Arnold Smith ◽  
Raj M Paspulati ◽  
Nami R Azar ◽  
Kai Laukamp ◽  
Elias Kikano ◽  
...  
Keyword(s):  
Endometrial Cancer ◽  
Endometrial Thickness ◽  
Color Doppler ◽  
Transvaginal Ultrasound ◽  
Myometrial Invasion ◽  
Figo Stage ◽  
Initial Presentation ◽  
Chi Square ◽  
Ultrasound Findings ◽  
Endometrial Cancers

e17111 Background: Mismatch repair (MMR) deficiency has emerged as a key biomarker in endometrial cancer with roles in prognosis and guiding therapy. However, the differences of sonographic features between MMR-deficient and MMR-proficient endometrial cancers at initial presentation have not been established. Methods: Transvaginal ultrasound studies of 103 endometrial cancers (60 MMR-deficient, 43 MMR-proficient) at initial presentation were retrospectively analyzed by two experienced radiologists. Histopathologic findings and sonographic features of endometrial morphology recorded according to IETA terminology were compared using Likelihood Ratio Chi-Square and Mann–Whitney U tests. Results: The MMR-deficient group comprised of 90% and the MMR-proficient group of 100% endometrioid subtypes. The following sonographic features were statistically different between MMR-deficient (age 45-95) and MMR-proficient (age 45-83) groups: uniform endometrial echogenicity/pattern, non-uniform endometrial echogenicity/pattern, endometrial midline morphology, presence of a bright edge, and endomyometrial junction morphology. Ultrasound findings of endometrial thickness, synechiae, intracavitary fluid, color Doppler score, and vascular pattern were not significantly different. Statistically significant differences in pathology features included FIGO grade, myometrial invasion, and lymphovascular invasion, while FIGO stage showed no difference. Conclusions: MMR-deficient endometrial cancer is characterized by several statistically different ultrasound and histopathologic features on initial presentation compared to MMR-proficient endometrial cancer.[Table: see text]

Assessment of myometrial invasion in endometrial cancer using three-dimensional ultrasound and magnetic resonance imaging

2015 ◽  
Vol 95 (1) ◽  
pp. 55-64 ◽  
Author(s):  
Julie W. Christensen ◽  
Margit Dueholm ◽  
Estrid S. Hansen ◽  
Edward Marinovskij ◽  
Erik Lundorf ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Endometrial Cancer ◽  
Magnetic Resonance ◽  
Three Dimensional ◽  
Myometrial Invasion ◽  
Resonance Imaging

scholarly journals Ultrasound Measurement of Tumor-Free Distance from the Serosal Surface as the Alternative to Measuring the Depth of Myometrial Invasion in Predicting Lymph Node Metastases in Endometrial Cancer

Diagnostics ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 1472
Author(s):  
Marcin Liro ◽  
Marcin Śniadecki ◽  
Ewa Wycinka ◽  
Szymon Wojtylak ◽  
Michał Brzeziński ◽  
...  
Keyword(s):  
Endometrial Cancer ◽  
Lymph Node ◽  
Lymph Node Metastases ◽  
Transvaginal Ultrasound ◽  
Multivariable Analysis ◽  
Myometrial Invasion ◽  
Ultrasound Measurement ◽  
Lymph Node Status ◽  
Free Distance ◽  
Node Metastases

Background: Ultrasonography’s usefulness in endometrial cancer (EC) diagnosis consists in its roles in staging and prediction of metastasis. Ultrasound-measured tumor-free distance from the tumor to the uterine serosa (uTFD) is a promising marker for these diagnostic and prognostic variables. The aim of the study was to determine the usefulness of this biomarker in locoregional staging, and thus in the prediction of lymph node metastasis (LNM). Methods: We conducted a single-institutional, prospective study on 116 consecutive patients with EC who underwent 2D transvaginal ultrasound examination. The uTFD marker was compared with the depth of ultrasound-measured myometrial invasion (uMI). Univariable and multivariable logit models were evaluated to assess the predictive power of the uTFD and uMI in regard to LNM. The reference standard was a final histopathology result. Survival was assessed by the Kaplan–Meier method. Results: LNM was found in 17% of the patients (20/116). In the univariable analysis, uMI and uTFD were significant predictors of LNM. The accuracy was 70.7%, and the NPV was 92.68% (OR 4.746, 95% CI 1.710–13.174) for uMI (p = 0.002), and they were 63.8% and 89.02% (OR 0.842, 95% CI 0.736–0.963), respectively, for uTFD (p = 0.01). The cutoff value for uTFD in the prediction of LNM was 5.2 mm. The association between absence of LNM and biomarker values of uMI < 1/2 and uTFD ≥ 5.2 mm was greater than that between the presence of metastases and uMI > 1/2 and uTFD values <5.2 mm. In the multivariable analysis, the accuracy of the uMI–uTFD model was 74%, and its NPV was 90.24% (p = non-significant). Neither uMI nor uTFD were surrogates for overall and recurrence-free survivals in endometrial cancer. Conclusions: Both uMI and uTFD, either alone or in combination, were valuable tools for gaining additional preoperative information on expected lymph node status. Negative lymph nodes status was better described by ultrasound biomarkers than a positive status. It was easier to use the uTFD rather than the uMI measurement as a biomarker of EC invasion, and the former still maintained a similar predictive value for lymph node metastases to the latter at diagnosis.

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