A novel clinical model for predicting malignancy of solitary pulmonary nodules: a multicenter study in chinese population
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1475-2867
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
A novel clinical model for predicting malignancy of solitary pulmonary nodules: a multicenter study in chinese population ; volume:21 ; number:1 ; day:17 ; month:2 ; year:2021 ; pages:1-11 ; date:12.2021
Cancer cell international ; 21, Heft 1 (17.2.2021), 1-11, 12.2021
- Creator
-
He, Xia
Xue, Ning
Liu, Xiaohua
Tang, Xuemiao
Peng, Songguo
Qu, Yuanye
Jiang, Lina
Xu, Qingxia
Liu, Wanli
Chen, Shulin
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1186/s12935-021-01810-5
- URN
-
urn:nbn:de:101:1-2021040701220474937874
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:44 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- He, Xia
- Xue, Ning
- Liu, Xiaohua
- Tang, Xuemiao
- Peng, Songguo
- Qu, Yuanye
- Jiang, Lina
- Xu, Qingxia
- Liu, Wanli
- Chen, Shulin
- SpringerLink (Online service)
Other Objects (12)
The study of plain CT combined with contrast-enhanced CT-based models in predicting malignancy of solitary solid pulmonary nodules
Predictive model for the probability of malignancy in solitary pulmonary nodules: a meta-analysis
Solitary and multiple thyroid nodules as predictors of malignancy: a systematic review and meta-analysis
Decreased levels of sex hormones in females with solitary pulmonary nodules were risk factors for malignancy
Correction to: Solitary and multiple thyroid nodules as predictors of malignancy: a systematic review and meta‑analysis
18F-FDG PET/CT based model for predicting malignancy in pulmonary nodules: a meta-analysis
Predicting malignancy in thyroid nodules: feasibility of a predictive model integrating clinical, biochemical, and ultrasound characteristics
Malignancy risk stratification of thyroid nodules according to echotexture and degree of hypoechogenicity: a retrospective multicenter validation study
Quantitative Imaging features Improve Discrimination of Malignancy in Pulmonary nodules
Deep Learning Models for Predicting Malignancy Risk in CT-Detected Pulmonary Nodules: A Systematic Review and Meta-analysis
A clinically applicable model more suitable for predicting malignancy or benignity of pulmonary ground glass nodules in women patients
Malignancy risk of hyperfunctioning thyroid nodules compared with non-toxic nodules: systematic review and a meta-analysis
The study of plain CT combined with contrast-enhanced CT-based models in predicting malignancy of solitary solid pulmonary nodules
Predictive model for the probability of malignancy in solitary pulmonary nodules: a meta-analysis
Solitary and multiple thyroid nodules as predictors of malignancy: a systematic review and meta-analysis
Decreased levels of sex hormones in females with solitary pulmonary nodules were risk factors for malignancy
Correction to: Solitary and multiple thyroid nodules as predictors of malignancy: a systematic review and meta‑analysis
18F-FDG PET/CT based model for predicting malignancy in pulmonary nodules: a meta-analysis
Predicting malignancy in thyroid nodules: feasibility of a predictive model integrating clinical, biochemical, and ultrasound characteristics
Malignancy risk stratification of thyroid nodules according to echotexture and degree of hypoechogenicity: a retrospective multicenter validation study
Quantitative Imaging features Improve Discrimination of Malignancy in Pulmonary nodules
Deep Learning Models for Predicting Malignancy Risk in CT-Detected Pulmonary Nodules: A Systematic Review and Meta-analysis
A clinically applicable model more suitable for predicting malignancy or benignity of pulmonary ground glass nodules in women patients
Malignancy risk of hyperfunctioning thyroid nodules compared with non-toxic nodules: systematic review and a meta-analysis
The study of plain CT combined with contrast-enhanced CT-based models in predicting malignancy of solitary solid pulmonary nodules
Predictive model for the probability of malignancy in solitary pulmonary nodules: a meta-analysis
Solitary and multiple thyroid nodules as predictors of malignancy: a systematic review and meta-analysis
Decreased levels of sex hormones in females with solitary pulmonary nodules were risk factors for malignancy
Correction to: Solitary and multiple thyroid nodules as predictors of malignancy: a systematic review and meta‑analysis
18F-FDG PET/CT based model for predicting malignancy in pulmonary nodules: a meta-analysis
Predicting malignancy in thyroid nodules: feasibility of a predictive model integrating clinical, biochemical, and ultrasound characteristics
Malignancy risk stratification of thyroid nodules according to echotexture and degree of hypoechogenicity: a retrospective multicenter validation study
Quantitative Imaging features Improve Discrimination of Malignancy in Pulmonary nodules
Deep Learning Models for Predicting Malignancy Risk in CT-Detected Pulmonary Nodules: A Systematic Review and Meta-analysis
A clinically applicable model more suitable for predicting malignancy or benignity of pulmonary ground glass nodules in women patients