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Early Cervical Cancer: Predictive Relevance of Preoperative 3-Tesla Multiparametric Magnetic Resonance Imaging
المؤلفون المشاركون
Kim, H. J.
Roh, Hyun Jin
Kim, Kyung Bin
Lee, Jong Hwa
Kwon, Yong-Soon
Lee, Sang Hun
المصدر
International Journal of Surgical Oncology
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-08-01
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1175694
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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