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Updated: Jan 25, 2026

High-frequency Ultrasound Imaging of Mouse Cervical Lymph Nodes
Published on: July 25, 2015
Predictive value of R2∗ values derived from blood oxygen level-dependent magnetic resonance imaging for lymph node
1Department of Radiology, The First Hospital of Lanzhou University, Lanzhou, China; The First Clinical Medical College of Lanzhou University, Lanzhou, China.
Aim:
The aim of this study was to investigate the predictive value of R2∗ values obtained from blood oxygen-level-dependent magnetic resonance imaging (BOLD-MRI) for lymph node metastasis (LNM) after neoadjuvant chemotherapy (NACT) in patients with stage IB-IIA cervical squamous cell carcinoma (CSCC).
Materials And Methods:
Patients diagnosed with CSCC and scheduled to undergo radical hysterectomy following NACT were prospectively recruited. Each patient underwent conventional MRI and BOLD-MRI within 1 week before NACT and again within 1 week before surgery.
Results:
In this study, 67 patients diagnosed with CSCC were recruited. Of the 67 evaluable women, 15 were finally classified as LNM-positive and 52 as LNM-negative. The evaluation based on the Response Evaluation Criteria in Solid Tumours version 1.1 performed within 1 week before surgery showed that none of the patients had progressive disease. No significant differences were observed between the LNM and non-LNM groups in basic clinical information (P > 0.05). Statistical differences were found between the patients who ultimately developed LNM (LNM group) and those who did not (non-LNM group), as well as in Federation of Gynaecology and Obstetrics staging, lymphovascular space invasion (LVSI) status, depth of stromal invasion, and NACT response (P < 0.05). In both groups, R2∗post-NACT values were higher than R2∗pre-NACT (P = 0.017 and P < 0.001), whereas TSpost-NACT values were lower than TSpre-NACT values (P < 0.001). The LNM group had lower R2∗post-NACT values than the non-LNM group (P < 0.001).
Conclusion:
The R2∗post-NACT value of the primary tumour derived from BOLD-MRI may serve as a valuable imaging biomarker for predicting post-NACT LNM in CSCC patients.
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