DCE-MRI Pharmacokinetic-Based Phenotyping of Invasive Ductal Carcinoma: A Radiomic Study for Prediction of Histological Outcomes
المؤلفون المشاركون
Mirabelli, Peppino
Incoronato, Mariarosaria
Salvatore, Marco
Aiello, Marco
Cavaliere, C.
Monti, Serena
Grimaldi, Anna Maria
Moscarino, Michela
Ferbo, Umberto
المصدر
Contrast Media & Molecular Imaging
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-01-17
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
Breast cancer is a disease affecting an increasing number of women worldwide.
Several efforts have been made in the last years to identify imaging biomarker and to develop noninvasive diagnostic tools for breast tumor characterization and monitoring, which could help in patients’ stratification, outcome prediction, and treatment personalization.
In particular, radiomic approaches have paved the way to the study of the cancer imaging phenotypes.
In this work, a group of 49 patients with diagnosis of invasive ductal carcinoma was studied.
The purpose of this study was to select radiomic features extracted from a DCE-MRI pharmacokinetic protocol, including quantitative maps of ktrans, kep, ve, iAUC, and R1 and to construct predictive models for the discrimination of molecular receptor status (ER+/ER-, PR+/PR-, and HER2+/HER2-), triple negative (TN)/non-triple negative (NTN), ki67 levels, and tumor grade.
A total of 163 features were obtained and, after feature set reduction step, followed by feature selection and prediction performance estimations, the predictive model coefficients were computed for each classification task.
The AUC values obtained were 0.826±0.006 for ER+/ER-, 0.875±0.009 for PR+/PR-, 0.838±0.006 for HER2+/HER2-, 0.876±0.007 for TN/NTN, 0.811±0.005 for ki67+/ki67-, and 0.895±0.006 for lowGrade/highGrade.
In conclusion, DCE-MRI pharmacokinetic-based phenotyping shows promising for discrimination of the histological outcomes.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Monti, Serena& Aiello, Marco& Incoronato, Mariarosaria& Grimaldi, Anna Maria& Moscarino, Michela& Mirabelli, Peppino…[et al.]. 2018. DCE-MRI Pharmacokinetic-Based Phenotyping of Invasive Ductal Carcinoma: A Radiomic Study for Prediction of Histological Outcomes. Contrast Media & Molecular Imaging،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1131421
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Monti, Serena…[et al.]. DCE-MRI Pharmacokinetic-Based Phenotyping of Invasive Ductal Carcinoma: A Radiomic Study for Prediction of Histological Outcomes. Contrast Media & Molecular Imaging No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1131421
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Monti, Serena& Aiello, Marco& Incoronato, Mariarosaria& Grimaldi, Anna Maria& Moscarino, Michela& Mirabelli, Peppino…[et al.]. DCE-MRI Pharmacokinetic-Based Phenotyping of Invasive Ductal Carcinoma: A Radiomic Study for Prediction of Histological Outcomes. Contrast Media & Molecular Imaging. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1131421
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1131421
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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