A Combined Model to Improve the Prediction of Local Control for Lung Cancer Patients Undergoing Stereotactic Body Radiotherapy Based on Radiomic Signature Plus Clinical and Dosimetric Parameters.
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| Title: | A Combined Model to Improve the Prediction of Local Control for Lung Cancer Patients Undergoing Stereotactic Body Radiotherapy Based on Radiomic Signature Plus Clinical and Dosimetric Parameters. |
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| Authors: | Luo LM; Department of Radiation Oncology, Shantou University Medical College, Shantou, China.; Department of Radiation Oncology, Cancer Hospital of Shantou University Medical College, Shantou, China., Huang BT; Department of Radiation Oncology, Cancer Hospital of Shantou University Medical College, Shantou, China., Chen CZ; Department of Radiation Oncology, Cancer Hospital of Shantou University Medical College, Shantou, China., Wang Y; Department of Radiation Oncology, Shantou University Medical College, Shantou, China.; Department of Radiation Oncology, Cancer Hospital of Shantou University Medical College, Shantou, China., Su CH; Department of Radiation Oncology, Shantou Central Hospital, Shantou, China., Peng GB; Department of Radiation Oncology, Meizhou People's Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou, China., Zeng CB; Department of Radiation Oncology, Cancer Hospital of Shantou University Medical College, Shantou, China., Wu YX; Department of Radiation Oncology, Cancer Hospital of Shantou University Medical College, Shantou, China., Wang RH; Department of Radiation Oncology, Shantou University Medical College, Shantou, China.; Department of Radiation Oncology, Cancer Hospital of Shantou University Medical College, Shantou, China., Huang K; Department of Radiation Oncology, Shantou University Medical College, Shantou, China.; Department of Radiation Oncology, Cancer Hospital of Shantou University Medical College, Shantou, China., Qiu ZH; Department of Otolaryngology-Head and Neck Surgery, The First Affiliated Hospital of Shantou University Medical College, Shantou, China. |
| Source: | Frontiers in oncology [Front Oncol] 2022 Jan 31; Vol. 11, pp. 819047. Date of Electronic Publication: 2022 Jan 31 (Print Publication: 2021). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101568867 Publication Model: eCollection Cited Medium: Print ISSN: 2234-943X (Print) Linking ISSN: 2234943X NLM ISO Abbreviation: Front Oncol Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2234-943X |
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| DOI: | 10.3389/fonc.2021.819047 |
