乳腺癌中重度急性放射性皮炎风险列线图 预测模型的构建与验证

打开文本图片集

AbstractObjective：Toanalyzetheinfluencingfactorsofmoderatetosevereacuteradiationdermatitisinbreastcanceandconstructa risk predictionmodelMethods：Atotalof179breastcancerpatientswhoreceivedradiotherapyinthedepartmentofbreastradiotherapy oftheAfflitedTumorHospitalofXinjiangMedicalUniversityfromJanuary2Ol5toDecember2O22 wereselectedastheresearch subjects.MultivariateLogisticregresionasusedtoanalethindependentifueningfactorsofmoderatetosevereacuteadiaion dermatis inbreastcancerandconstructadynamic Nomogram predictionmodel.Thereceiveroperatingcharacteristc（ROC）curveand calibrationcurvewereusedtoevaluatethediscriminationandgoodnessoffitofthemodel.Results：Moderatetosevereacuteradiation dermatitis occurred in 21.1% of breast cancer patients who received radiotherapy.Multivariate Logistic regression analysis showed that body mass index（BMI） > 24kg/m2 ，high expression of the proliferation index，positive regional lymph node metastasis，diabetes mellitus， allergicdermatitis，andalbumin ⩽35g/L were independent influencing factors for moderate to severe acute radiation dermatitis in breast cancerpatients ⌈P<0.05⌉ .The area under the receiver operating characteristic（ROC）curve of the Nomogram prediction model for the risk of moderate tosevere acuteradiationdermatitisinbreastcancer WasO.756[95%CIO.728-0.785]，withasensitivityof 76.7% anda specificity of 64.7% .Conclusions：The Nomogram prediction model fortheriskof moderate to severe acute radiation dermatitis in breast cancercouldhelpmedicaltafacuratelyidentifyhighiskpatientsatanearlystageandreducetheseverityofacuteradiatiodermatitis in breast cancer patients.

Keywordsbreast cancer;acute radiation dermatitis;Nomogram; influencing factors; prediction model摘要目的：分析乳腺癌中重度急性放射性皮炎的影响因素并构建风险预测模型。（剩余13040字）