Radiomics Nomogram: Prediction of 2-Year Disease-Free Survival in Young Age Breast Cancer

This study aimed to predict early breast cancer recurrence in women under 40 years of age using radiomics signature and clinicopathological information. We retrospectively investigated 155 patients under 40 years of age with invasive breast cancer who underwent MRI and surgery. Through stratified ra...

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Bibliographic Details
Published in:Cancers 2022-09, Vol.14 (18), p.4461
Main Authors: Lee, Jeongmin, Kim, Sung Hun, Kim, Yelin, Park, Jaewoo, Park, Ga Eun, Kang, Bong Joo
Format: Article
Language:English
Subjects:
Age
Biopsy
Breast cancer
Cancer surgery
Demographic aspects
Diagnostic imaging
Estrogen receptors
Family medical history
Forecasts and trends
Invasiveness
Magnetic resonance imaging
Mammography
Medical prognosis
Methods
Mortality
Nomography (Mathematics)
Open source software
Patients
Predictions
Prognosis
Radiomics
Regularization methods
Statistical sampling
Surgery
Survival
Survival analysis
Tomography
Tumor microenvironment
Tumors
Ultrasonic imaging
Variables
Womens health
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Summary:This study aimed to predict early breast cancer recurrence in women under 40 years of age using radiomics signature and clinicopathological information. We retrospectively investigated 155 patients under 40 years of age with invasive breast cancer who underwent MRI and surgery. Through stratified random sampling, 111 patients were assigned as the training set, and 44 were assigned as the validation set. Recurrence-associated factors were investigated based on recurrence within 5 years during the total follow-up period. A Rad-score was generated through texture analysis (3D slicer, ver. 4.8.0) of breast MRI using the least absolute shrinkage and selection operator Cox regression model. The Rad-score showed a significant association with disease-free survival (DFS) in the training set (p = 0.003) and validation set (p = 0.020) in the Kaplan–Meier analysis. The nomogram was generated through Cox proportional hazards models, and its predictive ability was validated. The nomogram included the Rad-score and estrogen receptor negativity as predictive factors and showed fair DFS predictive ability in both the training and validation sets (C-index 0.63, 95% CI 0.45–0.79). In conclusion, the Rad-score can predict the disease recurrence of invasive breast cancer in women under 40 years of age, and the Rad-score-based nomogram showed reasonably high DFS predictive ability, especially within 2 years of surgery.
ISSN:2072-6694
2072-6694
DOI:10.3390/cancers14184461