基于酰胺质子转移成像定量参数可预测乳腺癌TP53基因突变状态OA

Objective To investigate the correlation between quantitative parameters of amide proton transfer-weighted(APTw)magnetic resonance imaging and p53 protein expression in breast cancer,as well as its predictive value for TP53 gene mutation status.Methods Data from 72 patients with pathologically confirmed breast cancer at Guangdong Second Provincial General Hospital between March 2024 and September 2025 were retrospectively collected.All patients underwent 3T MRI including conventional sequences and APTw scanning.Based on immunohistochemical results of p53 protein,patients were divided into the TP53 mutant group(n=42)and wild-type group(n=30).The TP53 mutant group was further subdivided into missense mutation subgroup(n=32)and nonsense mutation subgroup(n=10).APTw images were processed using the CEST-Matlab program.Regions of interest(ROI)of lesions were manually delineated in ImageJ software,and APTmean and APTmax were measured and compared between groups.Spearman correlation analysis was performed to evaluate the correlation between APT parameters and p53 protein expression,and receiver operating characteristic(ROC)curves were plotted to analyze diagnostic efficacy.Results APTmean and APTmax in the TP53 mutant group were significantly higher than those in the wild-type group(P<0.001).APTmean showed a moderate positive correlation with p53 protein expression(r=0.48,P<0.001).No significant differences in APT parameters were found between the TP53 missense and nonsense mutation subgroups(P>0.05).The area under the ROC curve(AUC)of APTmean in diagnosing TP53 mutation was 0.838,with a sensitivity of 92.9%and specificity of 66.7%at the cutoff value of 2.135%.Conclusion Quantitative APTw parameter(APTmean)exhibits a moderate positive correlation with p53 protein expression in breast cancer and has favorable predictive efficacy for TP53 mutation,which is expected to provide an imaging basis for individualized treatment and prognostic evaluation of breast cancer.