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Clinical-radiomics nomogram for identifying HER2 status in patients with breast cancer: A multicenter study.
Fang, Caiyun; Zhang, Juntao; Li, Jizhen; Shang, Hui; Li, Kejian; Jiao, Tianyu; Yin, Di; Li, Fuyan; Cui, Yi; Zeng, Qingshi.
Afiliação
  • Fang C; Department of Radiology, Shandong Provincial Qianfoshan Hospital, The First Hospital Affiliated Hospital of Shandong First Medical University, Jinan, China.
  • Zhang J; Postgraduate Department, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
  • Li J; GE Healthcare Precision Health Institution, Shanghai, China.
  • Shang H; Department of Radiology, Shandong Mental Health Center, Jinan, China.
  • Li K; Department of Radiology, Shandong Provincial Qianfoshan Hospital, The First Hospital Affiliated Hospital of Shandong First Medical University, Jinan, China.
  • Jiao T; Postgraduate Department, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
  • Yin D; Department of Radiology, Shandong Provincial Qianfoshan Hospital, The First Hospital Affiliated Hospital of Shandong First Medical University, Jinan, China.
  • Li F; Postgraduate Department, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
  • Cui Y; Department of Radiology, Shandong Provincial Qianfoshan Hospital, The First Hospital Affiliated Hospital of Shandong First Medical University, Jinan, China.
  • Zeng Q; Postgraduate Department, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
Front Oncol ; 12: 922185, 2022.
Article em En | MEDLINE | ID: mdl-36158700
ABSTRACT

Purpose:

To develop and validate a clinical-radiomics nomogram based on radiomics features and clinical risk factors for identification of human epidermal growth factor receptor 2 (HER2) status in patients with breast cancer (BC).

Methods:

Two hundred and thirty-five female patients with BC were enrolled from July 2018 to February 2022 and divided into a training group (from center I, 115 patients), internal validation group (from center I, 49 patients), and external validation group (from centers II and III, 71 patients). The preoperative MRI of all patients was obtained, and radiomics features were extracted by a free open-source software called 3D Slicer. The Least Absolute Shrinkage and Selection Operator regression model was used to identify the most useful features. The radiomics score (Rad-score) was calculated by using the radiomics signature-based formula. A clinical-radiomics nomogram combining clinical factors and Rad-score was developed through multivariate logistic regression analysis. The performance of the nomogram was evaluated using receiver operating characteristic (ROC) curve and decision curve analysis (DCA).

Results:

A total of 2,553 radiomics features were extracted, and 21 radiomics features were selected as the most useful radiomics features. Multivariate logistic regression analysis indicated that Rad-score, progesterone receptor (PR), and Ki-67 were independent parameters to distinguish HER2 status. The clinical-radiomics nomogram, which comprised Rad-score, PR, and Ki-67, showed a favorable classification capability, with AUC of 0.87 [95% confidence internal (CI), 0.80 to 0.93] in the training group, 0.81 (95% CI, 0.69 to 0.94) in the internal validation group, and 0.84 (95% CI, 0.75 to 0.93) in the external validation group. DCA illustrated that the nomogram was useful in clinical practice.

Conclusions:

The nomogram combined with Rad-score, PR, and Ki-67 can identify the HER2 status of BC.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Oncol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Oncol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China
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