基于超声特征的多变量模型可准确定性诊断累及浅表淋巴结的淋巴增殖性疾病OA

Objective To develop a multivariate model based on ultrasound features for accurate qualitative diagnosis of superficial lymph nodes involved by lymphoproliferative disorders(LPD).Methods A retrospective analysis was conducted on data from 209 patients who underwent lymph node biopsy with histological,immunohistochemical,and genetic testing at West China Hospital of Sichuan University from January 2022 to December 2024,and their clinical information and ultrasound images were collected.Two experienced sonographers independently interpreted and recorded the imaging features.Using pathology as the gold standard,the included patients were divided into benign group and malignant group,univariate analysis identified significant features,which were then used to build a multivariate logistic regression model to evaluate diagnostic performance.Subgroup analyses were performed in benign and malignant groups to assess associations between ultrasound findings and pathological diagnoses.Results A total of 209 patients were included(74 malignant,135 benign).Univariate and multivariate analyses identified four predictive variables:age,short axis,cortical heterogeneity and vascular distribution.The multivariate model achieved an AUC of 0.826,and demonstrated significantly superior diagnostic performance compared to conventional ultrasound(P<0.001),particularly for cervical lymph nodes(P<0.05).Features significantly differentiating reactive hyperplasia from benign LPD included lymph node size and vascular distribution(P<0.05).Features showing significant differences between Hodgkin and Non-Hodgkin lymphoma included age and size(P<0.05).Conclusion The multivariate model based on ultrasonic features improves the qualitative diagnostic efficacy of superficial lymph nodes involved by LPD,and sonographic characteristics demonstrate potential for differentially diagnosing benign and malignant subtypes of superficial lymph node diseases.