Literature DB >> 25091827

Agreement of two-dimensional and three-dimensional transvaginal ultrasound with magnetic resonance imaging in assessment of parametrial infiltration in cervical cancer.

V Chiappa1, A Di Legge, A L Valentini, B Gui, M Miccò, M Ludovisi, C Giansiracusa, A C Testa, L Valentin.   

Abstract

OBJECTIVES: To compare two-dimensional (2D) and three-dimensional (3D) transvaginal ultrasound with magnetic resonance imaging (MRI) as the gold standard in assessment of parametrial infiltration of cervical cancer and to determine if all parts of the cervix are equally assessable with ultrasound.
METHODS: Patients with macroscopically evident and histologically confirmed cervical cancer were staged using International Federation of Gynecology and Obstetrics (FIGO) criteria and underwent MRI and 2D and 3D ultrasound examination before treatment. When assessing parametrial infiltration with 3D ultrasound and MRI, the cervix was (virtually) divided into three cylinders (cranial, middle and caudal) of equal size and each cylinder was then divided into six sectors in a clockwise manner following a consensus between radiologists and ultrasound examiners. The presence and the extent of parametrial invasion were recorded for each sector. Results of 2D ultrasound, 3D ultrasound and MRI were compared and reported in terms of percentage agreement and kappa value.
RESULTS: A total of 29 consecutive patients were included in the study. The percentage agreement between 2D ultrasound and MRI in assessing parametrial infiltration (yes or no) was 76% (kappa, 0.459) and that between 3D ultrasound and MRI was 79% (kappa, 0.508). The results of 2D ultrasound showed the following agreement with those of MRI: 90% for the ventral parametrium (kappa, 0.720), 72% for the right lateral parametrium (kappa, 0.494), 69% for the left lateral parametrium (kappa, 0.412) and 58.5% for the dorsal parametrium (kappa, 0.017). The results of 3D ultrasound showed the following agreement with those of MRI: 62.5% for the ventral parametrium (kappa, 0.176), 81% for the right lateral parametrium (kappa, 0.595), 70% for the left lateral parametrium (kappa, 0.326) and 52% for the dorsal parametrium (kappa, 0.132). The best agreement between 3D ultrasound and MRI was for the middle cervical cylinder (76%; kappa, 0.438) and the poorest agreement was for the caudal cylinder (42%; kappa, 0.125).
CONCLUSION: The results of 2D and 3D ultrasound showed similar moderate agreement with MRI; 2D and 3D ultrasound examinations are less costly and more readily available than MRI and should be considered in the preoperative work-up for cervical cancer.
Copyright © 2014 ISUOG. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  cervical cancer; magnetic resonance; parametrial infiltration; ultrasonography

Mesh:

Year:  2015        PMID: 25091827     DOI: 10.1002/uog.14637

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


  4 in total

Review 1.  Ultrasound in gynecological cancer: is it time for re-evaluation of its uses?

Authors:  Daniela Fischerova; David Cibula
Journal:  Curr Oncol Rep       Date:  2015-06       Impact factor: 5.075

2.  Beyond sentinel node algorithm. Toward a more tailored surgery for cervical cancer patients.

Authors:  Anna Fagotti; Luigi Pedone Anchora; Carmine Conte; Vito Chiantera; Enrico Vizza; Lucia Tortorella; Daniela Surico; Pierandrea De Iaco; Giacomo Corrado; Francesco Fanfani; Valerio Gallotta; Giovanni Scambia
Journal:  Cancer Med       Date:  2016-05-27       Impact factor: 4.452

3.  Diagnosis of Cervical Cancer With Parametrial Invasion on Whole-Tumor Dynamic Contrast-Enhanced Magnetic Resonance Imaging Combined With Whole-Lesion Texture Analysis Based on T2- Weighted Images.

Authors:  Xin-Xiang Li; Ting-Ting Lin; Bin Liu; Wei Wei
Journal:  Front Bioeng Biotechnol       Date:  2020-06-11

Review 4.  The Complementary Role of Imaging and Tumor Biomarkerszzm321990in Gynecological Cancers: An Update of the Literature

Authors:  Emanuela Anastasi; Silvia Gigli; Laura Ballesio; Antonio Angeloni; Lucia Manganaro
Journal:  Asian Pac J Cancer Prev       Date:  2018-02-26
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.