A Nomogram Based on Radiomics with Mammography Texture Analysis for the Prognostic Prediction in Patients with Triple-Negative Breast Cancer
المؤلفون المشاركون
Jiang, Xian
Zou, Xiuhe
Sun, Jing
Zheng, Aiping
Su, Chao
المصدر
Contrast Media & Molecular Imaging
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-08-25
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
Objectives.
To develop and validate a radiomics-based nomogram with texture features from mammography for the prognostic prediction in patients with early-stage triple-negative breast cancer (TNBC).
Methods.
The study included 200 consecutive patients with TNBC (training cohort: n = 133, validation cohort: n = 67).
A total of 136 mammography-derived textural features were extracted, and LASSO (least absolute shrinkage and selection operator) was applied to select features for building the radiomics score (Rad-score).
After univariate and multivariate logistic regression, a radiomics-based nomogram was constructed with independent prognostic factors.
The discrimination and calibration power were assessed, and further the clinical applicability of the nomograms was evaluated.
Results.
Among the 136 mammography-derived textural features, fourteen were used to build the Rad-score after LASSO regression.
A radiomics nomogram that incorporates Rad-score and pN stage was constructed.
This nomogram achieved a C-index of 0.873 (95% CI: 0.758–0.989) for predicting iDFS (invasive disease-free survival), which outperformed the clinical model.
Moreover, it is feasible to stratify patients into high-risk and low-risk groups based on the optimal cut-off point of Rad-score.
The validations of the nomogram confirmed favorable discrimination and considerable predictive efficiency.
Conclusions.
The radiomics nomogram that incorporates Rad-score and pN stage exhibited favorable performance in the prediction of iDFS in patients with early-stage TNBCs.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Jiang, Xian& Zou, Xiuhe& Sun, Jing& Zheng, Aiping& Su, Chao. 2020. A Nomogram Based on Radiomics with Mammography Texture Analysis for the Prognostic Prediction in Patients with Triple-Negative Breast Cancer. Contrast Media & Molecular Imaging،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1139263
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Jiang, Xian…[et al.]. A Nomogram Based on Radiomics with Mammography Texture Analysis for the Prognostic Prediction in Patients with Triple-Negative Breast Cancer. Contrast Media & Molecular Imaging No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1139263
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Jiang, Xian& Zou, Xiuhe& Sun, Jing& Zheng, Aiping& Su, Chao. A Nomogram Based on Radiomics with Mammography Texture Analysis for the Prognostic Prediction in Patients with Triple-Negative Breast Cancer. Contrast Media & Molecular Imaging. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1139263
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1139263
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