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| Content Provider | frontiers |
|---|---|
| Author | Xu, Xiaojing Lu, Liren Zhu, Luoxi Tan, Yanjuan Yu, Lifang Bao, Lingyun |
| Description | BackgroundMolecular subtyping of breast cancer is commonly doneforindividualzed cancer management because it may determines prognosis and treatment. Therefore, preoperativelyidentifying different molecular subtypes of breast cancery can be significant in clinical practice.Thisretrospective study aimed to investigate characteristic three-dimensional ultrasonographic imaging parameters of breast cancer that are associated with the molecular subtypes and establish nomograms to predict the molecular subtypes of breast cancers.MethodsA total of 309 patients diagnosed with breast cancer between January 2017and December 2019 were enrolled. Sonographic features were compared between the different molecular subtypes. A multinomial logistic regression model was developed, and nomograms were constructed based on this model.ResultsThe performance of the nomograms was evaluated in terms of discrimination and calibration.Variables such as maximum diameter, irregular shape, non-parallel growth, heterogeneous internal echo, enhanced posterior echo, lymph node metastasis, retraction phenomenon, calcification, and elasticity score were entered into the multinomial model.Three nomograms were constructed to visualize the final model. The probabilities of the different molecular subtypes could be calculated based on these nomograms. Based on the receiver operating characteristic curves of the model, the macro-and micro-areaunder the curve (AUC) were0.744, and 0.787. The AUC was 0.759, 0.683, 0... |
| Abstract | Purpose:Molecular subtyping of breast cancer is a common practice for individualised cancer management because the molecular classification determines the prognosis and treatment. Therefore, the ability to identify different molecular subtypes of breast cancer preoperatively can be of great significance in clinical practice. The aims of this retrospective study were to investigate characteristic three-dimensional ultrasonographic imaging parameters of breast cancer that are associated with molecular subtypes and to establish nomograms to predict the molecular subtypes of breast cancers. Methods:A total of 309 patients diagnosed with breast cancer between January 2017and December 2019 were enrolled. Sonographic features were compared between the different molecular subtypes. A multinomial logistic regression model was developed, and nomograms were constructed based on this model. Results:We evaluated the performance of the nomograms in terms of discrimination and calibration.Maximum diameter, irregular shape, non-parallel growth, heterogeneous internal echo, enhanced posterior echo, lymph node metastasis, retraction phenomenon, calcification, and elasticity score were entered into the multinomial model. We constructed three nomograms to visualize the final model. The probabilities of the different molecular subtypes could be calculated based on these nomograms. Based on the receiver operating characteristic curves of the model, the macro-area under the curve (AUC) was 0.744, and the micro-AUC was 0.787. The AUC was 0.759, 0.683, 0.747, and 0.785 for luminal A, luminal B, human epidermal growth factor receptor 2-positive, and triple-negative, respectively . The nomograms for the LA, HER2, and TN subtypes provided good calibration. Conclusions:Sonographic features such as calcification and posterior acoustic features were significantly associated with the molecular subtype of breast cancer.The presence of the retraction phenomenon was the most important predictor for the LA subtype.Nomograms to predict the molecular subtype were established, and the calibration curves and receiver operating characteristic curves proved that the models had good performance. |
| ISSN | 2234943X |
| DOI | 10.3389/fonc.2022.838787 |
| Volume Number | 12 |
| Journal | Frontiers in Oncology |
| Language | English |
| Publisher Date | 2022-08-19 |
| Access Restriction | Open |
| Subject Keyword | Breast cancer Molecular subtypes Ultrasonography Nomogram Relevance of three-dimensional ultrasonography |
| Content Type | Text |
| Resource Type | Article |
| Subject | Cancer Research Oncology |
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