Early Cervical Cancer: Predictive Relevance of Preoperative 3-Tesla Multiparametric Magnetic Resonance Imaging
Joint Authors
Kim, H. J.
Roh, Hyun Jin
Kim, Kyung Bin
Lee, Jong Hwa
Kwon, Yong-Soon
Lee, Sang Hun
Source
International Journal of Surgical Oncology
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-08-01
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Objective.
We assess the predictive significance of preoperative 3-Tesla multiparametric MRI findings.
Methods.
A total of 260 patients with FIGO IA2-IIA cervical cancer underwent primary surgical treatment between 2007 and 2016.
Univariable and multivariable logistic regression analyses were used to assess the incremental prognostic significance.
Results.
The clinical predictive factors associated with pT2b disease were MRI parametrial invasion (PMI) (adjusted odds ratio (AOR) 3.77, 95% confidence interval(CI) 1.62-8.79; P=0.02) and MRI uterine corpus invasion (UCI) (AOR 9.99, 95% CI 4.11-24.32; P<0.0001).
In multivariable analysis, for underdiagnoses, histologically squamous carcinoma versus adenocarcinoma and adenosquamous carcinoma (AOR 2.07, 95% CI 1.06-4.07; P=0.034) and MRI tumor size (AOR 0.76, 95% CI 0.63-0.92; P=0.005) were significant predictors; for overdiagnoses, these results were MRI tumor size (AOR 1.51, 95% CI 1.06-2.16; P=0.023), MRI PMI (AOR 71.73, 95% CI 8.89-611.38; P<0.0001) and MRI UCI (AOR 0.19, 95% CI 0.01-1.01; P=0.051).
Conclusion.
PMI and UCI on T2-weighted images through preoperative 3T MRI are useful coefficients for accurate prediction of the pT2b stage; however, careful surveillance is required.
Therefore, preoperative decision-making for early cervical cancer patients based on MRI diagnosis should be considered carefully, particularly in the presence of factors that are known to increase the likelihood of misdiagnosis.
American Psychological Association (APA)
Roh, Hyun Jin& Kim, Kyung Bin& Lee, Jong Hwa& Kim, H. J.& Kwon, Yong-Soon& Lee, Sang Hun. 2018. Early Cervical Cancer: Predictive Relevance of Preoperative 3-Tesla Multiparametric Magnetic Resonance Imaging. International Journal of Surgical Oncology،Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1175694
Modern Language Association (MLA)
Roh, Hyun Jin…[et al.]. Early Cervical Cancer: Predictive Relevance of Preoperative 3-Tesla Multiparametric Magnetic Resonance Imaging. International Journal of Surgical Oncology No. 2018 (2018), pp.1-14.
https://search.emarefa.net/detail/BIM-1175694
American Medical Association (AMA)
Roh, Hyun Jin& Kim, Kyung Bin& Lee, Jong Hwa& Kim, H. J.& Kwon, Yong-Soon& Lee, Sang Hun. Early Cervical Cancer: Predictive Relevance of Preoperative 3-Tesla Multiparametric Magnetic Resonance Imaging. International Journal of Surgical Oncology. 2018. Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1175694
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1175694