Wu, Q.; Zhu, M.; Xie, H.; Geng, X.; Wang, Y.; Wu, Z.; Lin, Y.; Xu, S.; Ye, Y.; Yin, W.;
et al. Dynamic Evolution of Vascular Features Based on Magnetic Resonance Imaging to Predict Pathological Response, Patterns of Recurrence and Survival Outcomes in Breast Cancer Neoadjuvant Chemotherapy. Curr. Oncol. 2025, 32, 350.
https://doi.org/10.3390/curroncol32060350
AMA Style
Wu Q, Zhu M, Xie H, Geng X, Wang Y, Wu Z, Lin Y, Xu S, Ye Y, Yin W,
et al. Dynamic Evolution of Vascular Features Based on Magnetic Resonance Imaging to Predict Pathological Response, Patterns of Recurrence and Survival Outcomes in Breast Cancer Neoadjuvant Chemotherapy. Current Oncology. 2025; 32(6):350.
https://doi.org/10.3390/curroncol32060350
Chicago/Turabian Style
Wu, Qiong, Mingxi Zhu, Huaying Xie, Xiaochuan Geng, Yan Wang, Ziping Wu, Yanping Lin, Shuguang Xu, Yumei Ye, Wenjin Yin,
and et al. 2025. "Dynamic Evolution of Vascular Features Based on Magnetic Resonance Imaging to Predict Pathological Response, Patterns of Recurrence and Survival Outcomes in Breast Cancer Neoadjuvant Chemotherapy" Current Oncology 32, no. 6: 350.
https://doi.org/10.3390/curroncol32060350
APA Style
Wu, Q., Zhu, M., Xie, H., Geng, X., Wang, Y., Wu, Z., Lin, Y., Xu, S., Ye, Y., Yin, W., Zhuang, Z., Lu, J., & Zhou, L.
(2025). Dynamic Evolution of Vascular Features Based on Magnetic Resonance Imaging to Predict Pathological Response, Patterns of Recurrence and Survival Outcomes in Breast Cancer Neoadjuvant Chemotherapy. Current Oncology, 32(6), 350.
https://doi.org/10.3390/curroncol32060350
