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Utility of ultrasound superb microvascular imaging parameters for prediction of the initial effectiveness of monoclonal antibody therapy for cervical cancer
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L. Zhang   , H. Li , C. Guo , T. Cheng |
| Changzhou Cancer Hospital, Changzhou City, Jiangsu province, China , chengtao1216@hotmail.com |
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Abstract: (20 Views) |
Background: Globally, PD-1/PD-L1 inhibitors combined with bevacizumab have shown promising results in treating renal and lung cancers, but their efficacy in cervical cancer (CC) remains unclear. Superb microvascular imaging (SMI) is a novel technique for observing microcirculation in tumors. This study investigated the effectiveness and survival benefits of SMI in assessing tislelizumab combined with bevacizumab for treating CC. Materials and Methods: 86 patients with CC (2022–2023) were randomly divided into two groups: group A (bevacizumab, n=43) and group B (tislelizumab + bevacizumab, n=43). After 4 cycles of treatment, tumor volume and Adler blood-flow grades were assessed using color Doppler flow imaging (CDFI) and SMI. Receiver operating characteristic (ROC) curves were used to evaluate the diagnostic value of both methods in assessing treatment effects. Results: Both CDFI and SMI demonstrated significant differences in treatment effectiveness between groups (p<0.05). CDFI showed improved Adler blood-flow grades after treatment in both groups (p<0.05), but they were not significantly different between the groups (P>0.05). SMI also revealed significant improvements (p<0.01) and greater differences between groups after treatment (p<0.05). The area under the curve (AUC) for SMI in evaluating therapeutic efficacy was 0.833 (sensitivity 86.05%, specificity 69.77%), while CDFI showed an AUC of 0.816 (sensitivity 79.07%, specificity 72.09%). Conclusions: Tislelizumab combined with bevacizumab significantly improves CC treatment. SMI outperforms CDFI in evaluating tumor microvessels and provides valuable insight for the planning of early CC treatment. |
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| Keywords: Superb microvascular imaging, cervical cancer, monoclonal antibody, tislelizumab, bevacizumab. |
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Full-Text [PDF 829 kb]
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Type of Study: Original Research |
Subject:
Radiation Biology
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