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Combination of conventional ultrasound with quantitative and qualitative analyses of CEUS for the differentiation of benign and malignant breast solid lesions: A modified breast cancer model.
Sun, Jingjing; Shen, Xianghui; Zhang, Ning; Zhang, Qiang; Xing, Kai; Liu, Yanchao.
Afiliación
  • Sun J; Department of Ultrasound, Handan Central Hospital, Handan, China. Electronic address: jingjingnewlife@163.com.
  • Shen X; Department of Ultrasound, Handan Central Hospital, Handan, China.
  • Zhang N; Department of Ultrasound, Handan Central Hospital, Handan, China.
  • Zhang Q; Department of Ultrasound, Handan Central Hospital, Handan, China.
  • Xing K; Department of Ultrasound, Handan Central Hospital, Handan, China.
  • Liu Y; Department of Ultrasound, Handan Central Hospital, Handan, China.
Asian J Surg ; 2024 Aug 29.
Article en En | MEDLINE | ID: mdl-39214812
ABSTRACT

OBJECTIVE:

Breast cancer has become one of the main diseases threatening women's health and lives. Ultrasound (US) is the first diagnostic option for several patients because of its non-radiation, convenient, and low-cost features. Conventional US combined with contrast-enhanced US (CEUS) has improved diagnostic accuracy, while due to the presence of numerous parameters, no international consensus on diagnostic criteria could be attained. Therefore, it is necessary to develop a reliable diagnostic model with the involvement of a few parameters while increasing the diagnostic accuracy.

METHODS:

Data from 265 patients, including conventional US, CEUS, and postoperative pathological results, were collected. 21 parameters from the conventional US and both qualitative and quantitative aspects of CEUS were analyzed through univariate and multivariate logistic regression analyses. Specific parameters with independent influential factors were identified. A nomogram was subsequently developed to visually represent the contribution and linear weighting of each parameter. The effectiveness of the new model was assessed through calibration curves and the Hosmer-Lemeshow goodness-of-fit test.

RESULTS:

Six independent influential factors for breast malignant tumors were identified, including homogeneous echo, lesion vascularity, enhancement mode, enhancement shape, nourishing vessels, and slope. The area under the curve (AUC) values in the training and test datasets were 0.933 and 0.860, respectively. The modified model exhibited satisfactory diagnostic accuracy and operability.

CONCLUSION:

The modified model, despite incorporating fewer parameters, maintained diagnostic accuracy. It is exhibited as a convenient, effective, and easily deployable model for diagnosing malignant breast nodules.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Asian J Surg Año: 2024 Tipo del documento: Article Pais de publicación: Países Bajos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Asian J Surg Año: 2024 Tipo del documento: Article Pais de publicación: Países Bajos