Literature DB >> 26011665

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

J L Alcázar1, R Orozco2, T Martinez-Astorquiza Corral3, L Juez1, J Utrilla-Layna1, J A Mínguez1, M Jurado1.   

Abstract

OBJECTIVE: To review the diagnostic accuracy of transvaginal ultrasound (TVS) in the preoperative detection of deep myometrial infiltration in patients with endometrial cancer, comparing subjective and objective methods.
METHODS: An extensive search was performed in MEDLINE (PubMed) and EMBASE for studies published between January 1989 and December 2014. The eligibility criterion was use of TVS for preoperative assessment of myometrial infiltration by subjective evaluation and/or objective measurements. Objective measurements included, specifically, the approaches of Gordon (ratio of the distance between endometrium-myometrium interface and maximum tumor depth to the total myometrial thickness) and Karlsson (endometrial tumor thickness/anteroposterior uterine diameter ratio), in women with endometrial cancer, using the surgical pathological data as a reference standard. Study quality was assessed using the QUADAS-2 tool.
RESULTS: Our extended search identified a total of 184 citations, among which we examined the full text of 24 articles. Overall pooled sensitivity, specificity, positive likelihood ratio (LR+) and negative likelihood ratio (LR-) of TVS for detecting deep myometrial infiltration were 82% (95% CI, 76-87%), 81% (95% CI, 76-85%), 4.3 (95% CI, 3.6-5.3) and 0.22 (95% CI, 0.16-0.30), respectively. We did not observe differences among the three methods in terms of diagnostic performance. Significant heterogeneity was found for sensitivity and specificity of all three methods (I(2) range, 60.6-95.0). The main limitation was that very few studies compared different approaches in the same set of patients.
CONCLUSION: Diagnostic performance of TVS for detecting deep myometrial infiltration in women with endometrial cancer is moderate.
Copyright © 2015 ISUOG. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  endometrial cancer; meta-analysis; myometrial invasion; systematic review; transvaginal ultrasound

Mesh:

Year:  2015        PMID: 26011665     DOI: 10.1002/uog.14905

Source DB:  PubMed          Journal:  Ultrasound Obstet Gynecol        ISSN: 0960-7692            Impact factor:   7.299


  12 in total

1.  Diagnostic Accuracy of Clinical Biomarkers for Preoperative Prediction of Lymph Node Metastasis in Endometrial Carcinoma: A Systematic Review and Meta-Analysis.

Authors:  Casper Reijnen; Joanna IntHout; Leon F A G Massuger; Fleur Strobbe; Heidi V N Küsters-Vandevelde; Ingfrid S Haldorsen; Marc P L M Snijders; Johanna M A Pijnenborg
Journal:  Oncologist       Date:  2019-06-11

2.  Predictive Score of Nodal Involvement in Endometrial Cancer Patients: A Large Multicentre Series.

Authors:  Vito Andrea Capozzi; Giulio Sozzi; Andrea Rosati; Stefano Restaino; Giulia Gambino; Alessandra Cianciolo; Marcello Ceccaroni; Stefano Uccella; Massimo Franchi; Vito Chiantera; Giovanni Scambia; Francesco Fanfani; Roberto Berretta
Journal:  Ann Surg Oncol       Date:  2021-11-26       Impact factor: 5.344

3.  Ultrasonographic features of uterine cervical lesions.

Authors:  Hyunji Oh; Sung Bin Park; Hyun Jeong Park; Eun Sun Lee; Joonho Hur; Woosun Choi; Byung Ihn Choi
Journal:  Br J Radiol       Date:  2021-02-09       Impact factor: 3.039

4.  The Reliability of Intraoperative Assessment on Predicting Tumor Size, Myometrial Invasion, and Cervical Involvement in Patients With a Preoperative Diagnosis of Complex Atypical Hyperplasia or (Clinical Stage I) Endometrial Cancer: A Prospective Cohort Study.

Authors:  Brentley Q Smith; Jonathan D Boone; Eric D Thomas; Taylor B Turner; Gerald McGwin; Amanda M Stisher; Charles A Leath; Lea Novak; Warner K Huh
Journal:  Am J Clin Oncol       Date:  2020-02       Impact factor: 2.787

Review 5.  What Is the Best Preoperative Imaging for Endometrial Cancer?

Authors:  Ingfrid S Haldorsen; Helga B Salvesen
Journal:  Curr Oncol Rep       Date:  2016-04       Impact factor: 5.075

6.  The Diagnostic Accuracy of Ultrasound in Assessment of Myometrial Invasion in Endometrial Cancer: Subjective Assessment versus Objective Techniques.

Authors:  Filip Frühauf; Michal Zikan; Ivana Semeradova; Pavel Dundr; Kristyna Nemejcova; Ladislav Dusek; David Cibula; Daniela Fischerova
Journal:  Biomed Res Int       Date:  2017-07-24       Impact factor: 3.411

7.  Improved preoperative risk stratification with CA-125 in low-grade endometrial cancer: a multicenter prospective cohort study.

Authors:  Casper Reijnen; Nicole Cm Visser; Jenneke C Kasius; Dorry Boll; Peggy M Geomini; Huy Ngo; Dennis Van Hamont; Brenda M Pijlman; Maria Caroline Vos; Johan Bulten; Marc Plm Snijders; Leon Fag Massuger; Johanna Ma Pijnenborg
Journal:  J Gynecol Oncol       Date:  2019-09       Impact factor: 4.401

8.  A prospective comparison of the diagnostic accuracies of ultrasound and magnetic resonance imaging in preoperative staging of endometrial cancer.

Authors:  Michael Wong; Tejal Amin; Nikolaos Thanatsis; Joel Naftalin; Davor Jurkovic
Journal:  J Gynecol Oncol       Date:  2022-01-17       Impact factor: 4.401

9.  Efficacy of transvaginal ultrasound versus magnetic resonance imaging for preoperative assessment of myometrial invasion in patients with endometrioid endometrial cancer: a prospective comparative study.

Authors:  Anis Cerovac; Dzenita Ljuca; Lejla Arnautalic; Dubravko Habek; Gordana Bogdanovic; Jasminka Mustedanagic-Mujanovic; Gordana Grgic
Journal:  Radiol Oncol       Date:  2022-02-11       Impact factor: 2.991

Review 10.  Transvaginal ultrasound versus magnetic resonance imaging for preoperative assessment of myometrial infiltration in patients with endometrial cancer: a systematic review and meta-analysis.

Authors:  Juan Luis Alcázar; Begoña Gastón; Beatriz Navarro; Rocío Salas; Juana Aranda; Stefano Guerriero
Journal:  J Gynecol Oncol       Date:  2017-11       Impact factor: 4.401

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.