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.
Simple Summary: Neoadjuvant chemotherapy (NAC) is commonly used to reduce tumor burden in breast cancer prior to surgery. However, accurate prediction of therapeutic response remains a clinical challenge. In this study, we used breast MRI scans to analyze the number of blood vessels passing through...
| Publicado en: | Current Oncology Vol. 32; no. 6; pp. 350 - 368 |
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| Autores principales: | , , , , , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
MDPI
Jun2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=186205512&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 186205512 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 11980052 5EKK jtl: Current Oncology issn: 11980052 maglogo: N pubinfo: dt: Jun2025 vid: 32 iid: 6 pid: 97109 pub: MDPI artinfo: ui: 186205512 10.3390/curroncol32060350 186205512 ppf: 350 ppct: 18 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: 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. aug: au: Wu, Qiong Zhu, Mingxi Xie, Huaying Geng, Xiaochuan Wang, Yan Wu, Ziping Lin, Yanping Xu, Shuguang Ye, Yumei Yin, Wenjin Zhuang, Zhiguo Lu, Jingsong Zhou, Liheng affil: Department of Breast Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China sug: ab: Simple Summary: Neoadjuvant chemotherapy (NAC) is commonly used to reduce tumor burden in breast cancer prior to surgery. However, accurate prediction of therapeutic response remains a clinical challenge. In this study, we used breast MRI scans to analyze the number of blood vessels passing through the tumor at different stages of treatment (baseline, after two cycles of NAC and before surgery). Our results showed that patients with a greater reduction in tumor-associated blood vessels were more likely to achieve breast pathological complete response and longer relapse-free survival. Moreover, distinct vascular change patterns were correlated with different recurrence types. These findings suggest that MRI-derived vascular features may serve as non-invasive imaging biomarkers for predicting treatment efficacy and recurrence patterns, potentially guiding personalized therapeutic strategies for intensified post-NAC adjuvant therapy. Magnetic resonance imaging (MRI) is essential for assessing responses to neoadjuvant chemotherapy (NAC) in breast cancer. This exploratory analysis included 182 patients with locally advanced breast cancer who underwent MRI at baseline after two NAC cycles and post-treatment. Vessel-through-lesion (VTL) was quantified as the number of vessels passing through the lesion, with ΔVTL1-2 and ΔVTL1-3 representing relative VTL changes after the second and third MRI, respectively, compared to baseline. Patients were randomly divided into training and validation sets (7:3). A bpCR-predictive nomogram incorporating ΔVTL1-2 and clinicopathological factors out-performed a clinicopathology-only model (validation AUC of 0.892 vs. 0.857). Recurrence patterns differed by ΔVTL1-3 subgroup, where the low ΔVTL1-3 group showed an early recurrence peak within two years, while the high ΔVTL1-3 group maintained a stable, low recurrence risk over five years, particularly among non-pCR patients. The RFS-predictive nomogram using ΔVTL1-3 showed strong concordance with RFS (validation AUCs of 0.918 at 1 year, 0.767 at 3 years, and 0.717 at 5 years). Risk stratification showed superior RFS in the low-risk group. This study is the first to report that dynamic vascular evolution predicts bpCR and serves as an independent prognostic factor, associated with distinct recurrence patterns, particularly in non-pCR patients. These findings support early identification of patients for intensified post-NAC adjuvant therapy, enabling more precise treatment. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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