| Autor: |
Yamie Xie, Ying Zhu, Weimin Chai, Shaoyun Zong, Shangyan Xu, Weiwei Zhan, Xiaoxiao Zhang |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Frontiers in Oncology, Vol 12 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2234-943X |
| DOI: |
10.3389/fonc.2022.807402 |
| Popis: |
ObjectivesTo downgrade BI-RADS 4A patients by constructing a nomogram using R software.Materials and MethodsA total of 1,717 patients were retrospectively analyzed who underwent preoperative ultrasound, mammography, and magnetic resonance examinations in our hospital from August 2019 to September 2020, and a total of 458 patients of category BI-RADS 4A (mean age, 47 years; range 18–84 years; all women) were included. Multivariable logistic regression was used to screen out the independent influencing parameters that affect the benign and malignant tumors, and the nomogram was constructed by R language to downgrade BI-RADS 4A patients to eligible category.ResultsOf 458 BI-RADS 4A patients, 273 (59.6%) were degraded to category 3. The malignancy rate of these 273 lesions is 1.5% (4/273) ( |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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