Do we need more than Ultrasound Endometrial Thickness to Predict Malignancy?

Adly Nanda Al Fattah; Tricia Dewi Anggraeni; Bella Aprilia

Do we need more than Ultrasound Endometrial Thickness to Predict Malignancy?

Adly Nanda Al Fattah * §

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Tricia Dewi Anggraeni

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Bella Aprilia

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muh.ikhsan.md

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§ Faculty of Medicine Universitas Indonesia, Cipto Man...

Do we need more than Ultrasound Endometrial Thickness to Predict Malignancy?

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Abstract

Endometrial thickness (ET) ultrasound measurement has high diagnostic performance for detection of endometrial cancer in symptomatic postmenopausal women. Identified clinical risk factors, Doppler or 3D ultrasound parameters to predict endometrial malignancy had been proposed in several studies. This article is comparing the accuracy of ultrasound endometrial thickness with scoring system/index involving both of clinical and ultrasound parameters to predict endometrial malignancy. Eight eligible diagnostic studies were appraised to assess the accuracy of ultrasound ET and/or ultrasound-based index to predict malignancy. The incidence of endometrial malignancy confirmed by histopathology examination was ranging from 10.5 to 58% from 8 studies. Ultrasound-based index to predict endometrial malignancy had good accuracy (AUC 75%-98%). The addition of endometrial volume/ uterine corpus volume ratio (EV/UCV) and Doppler to clinical parameters had increased the prediction accuracy of the index. While ultrasound ET alone has also high sensitivity, respectively 90.6% and 96.9% using the cut-off 4 mm and 3 mm with low accuracy.

References

14 Cites in Article

Reference Format

F Amant,P Moerman,P Neven,D Timmerman,E Van Limbergen,I Vergote (2005). Endometrial cancer.
Maria Breijer,Helena Van Doorn,T Clark,Khalid Khan,Anne Timmermans,Ben Mol,Brent Opmeer (2012). Diagnostic strategies for endometrial cancer in women with postmenopausal bleeding: cost-effectiveness of individualized strategies.
Fphlj Dijkhuizen,Ben Mol,Hans Brölmann,Apm Heintz (2003). Cost-effectiveness of the use of transvaginal sonography in the evaluation of postmenopausal bleeding.
S Mihajlovic,M Vasiljevic,A Jurisic,D Kisic-Tepavcevic,D Dimitrijevic,L Nejkovic (2016). Predictive value of transvaginal ultrasound score for detection of endometrial malignancy.
T Clark (2004). Outpatient hysteroscopy and ultrasonography in the management of endometrial disease.
Berna Seckin,Mahmut Cicek,Asiye Dikmen,Esra Bostancı,Kamil Muftuoglu (2016). Diagnostic value of sonography for detecting endometrial pathologies in postmenopausal women with and without bleeding.
G Mansour,A El-Shalakany (2011). Endometrial/uterine corporeal volume ratio (EV/UCV) as predictor of malignancy in women with postmenopausal bleeding.
N Burbos,P Musonda,T Duncan,S Crocker,E Morris,J Nieto (2011). Estimating the Risk of Endometrial Cancer in Symptomatic Postmenopausal Women.
G Opolskiene,P Sladkevicius,L Valentin (2011). Prediction of endometrial malignancy in women with postmenopausal bleeding and sonographic endometrial thickness ≥ 4.5 mm.
M Dueholm,C Møller,S Rydbjerg,E Hansen,G Ørtoft (2014). An ultrasound algorithm for identification of endometrial cancer.
M Dueholm,J Christensen,S Rydbjerg,E Hansen (2015). Two-and three-dimensional transvaginal ultrasound with power Doppler angiography and gel infusion sonography for diagnosis of endometrial malignancy.
N Burbos,P Musonda,I Giarenis,A Shiner,P Giamougiannis,E Morris,J Nieto (2010). Predicting the risk of endometrial cancer in postmenopausal women presenting with vaginal bleeding: the Norwich DEFAB risk assessment tool.
V Patel,E Wilkinson,S Chamala,X Lu,J Castagno,D Rush (2017). Endometrial Thickness as Measured by Transvaginal Ultrasound and the Corresponding Histopathologic Diagnosis in Women With Postmenopausal Bleeding.
Do We Need More than Ultrasound Endometrial Thickness to Predict Malignancy?.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Adly Nanda Al Fattah, Tricia Dewi Anggraeni, Bella Aprilia, muh.ikhsan.md. 2018. "Do we need more than Ultrasound Endometrial Thickness to Predict Malignancy?". Global Journal of Medical Research - E: Gynecology & Obstetrics GJMR-E Volume 18 (GJMR Volume 18 Issue E1).

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GJMR Volume 18 Issue E1

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Journal Specifications

Crossref Journal DOI 10.17406/gjmr

Print ISSN 0975-5888

e-ISSN 2249-4618

Keywords

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Classification

GJMR-E Classification NLMC Code: WP 390

Submission ReceivedDecember 9, 2017
Peer Review Double Blind
Handling Editor
Accepted January 3, 2018
Published January 15, 2018

Version of record

v1.2

Issue date

February 23, 2018

Language

English

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Article Matrices

Total Score: 144

Country: Indonesia

Subject: Global Journal of Medical Research

Authors: Adly Nanda Al Fattah, Tricia Dewi Anggraeni, Bella Aprilia, Muhammad Ikhsan (PhD/Dr. count: 0)

View Count (all-time): 197

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Publish Date: 2018 01, Mon

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