143 related articles for article (PubMed ID: 37963229)
1. Dosiomics and radiomics improve the prediction of post-radiotherapy neutrophil-lymphocyte ratio in locally advanced non-small cell lung cancer.
Hou R; Xia W; Zhang C; Shao Y; Zhu X; Feng W; Zhang Q; Yu W; Fu X; Zhao J
Med Phys; 2024 Jan; 51(1):650-661. PubMed ID: 37963229
[TBL] [Abstract][Full Text] [Related]
2. Multi-omics to predict acute radiation esophagitis in patients with lung cancer treated with intensity-modulated radiation therapy.
Zheng X; Guo W; Wang Y; Zhang J; Zhang Y; Cheng C; Teng X; Lam S; Zhou T; Ma Z; Liu R; Wu H; Ge H; Cai J; Li B
Eur J Med Res; 2023 Mar; 28(1):126. PubMed ID: 36935504
[TBL] [Abstract][Full Text] [Related]
3. Dosiomics and radiomics-based prediction of pneumonitis after radiotherapy and immune checkpoint inhibition: The relevance of fractionation.
Kraus KM; Oreshko M; Schnabel JA; Bernhardt D; Combs SE; Peeken JC
Lung Cancer; 2024 Mar; 189():107507. PubMed ID: 38394745
[TBL] [Abstract][Full Text] [Related]
4. Radiation pneumonitis prediction after stereotactic body radiation therapy based on 3D dose distribution: dosiomics and/or deep learning-based radiomics features.
Huang Y; Feng A; Lin Y; Gu H; Chen H; Wang H; Shao Y; Duan Y; Zhuo W; Xu Z
Radiat Oncol; 2022 Nov; 17(1):188. PubMed ID: 36397060
[TBL] [Abstract][Full Text] [Related]
5. Radiomics and dosiomics-based prediction of radiotherapy-induced xerostomia in head and neck cancer patients.
Abdollahi H; Dehesh T; Abdalvand N; Rahmim A
Int J Radiat Biol; 2023; 99(11):1669-1683. PubMed ID: 37171485
[TBL] [Abstract][Full Text] [Related]
6. Radiomics and Dosiomics Signature From Whole Lung Predicts Radiation Pneumonitis: A Model Development Study With Prospective External Validation and Decision-curve Analysis.
Zhang Z; Wang Z; Yan M; Yu J; Dekker A; Zhao L; Wee L
Int J Radiat Oncol Biol Phys; 2023 Mar; 115(3):746-758. PubMed ID: 36031028
[TBL] [Abstract][Full Text] [Related]
7. Dosiomics and radiomics to predict pneumonitis after thoracic stereotactic body radiotherapy and immune checkpoint inhibition.
Kraus KM; Oreshko M; Bernhardt D; Combs SE; Peeken JC
Front Oncol; 2023; 13():1124592. PubMed ID: 37007119
[TBL] [Abstract][Full Text] [Related]
8. Predicting N2 lymph node metastasis in presurgical stage I-II non-small cell lung cancer using multiview radiomics and deep learning method.
Zhang H; Liao M; Guo Q; Chen J; Wang S; Liu S; Xiao F
Med Phys; 2023 Apr; 50(4):2049-2060. PubMed ID: 36563341
[TBL] [Abstract][Full Text] [Related]
9. CT-based dosiomics and radiomics model predicts radiation-induced lymphopenia in nasopharyngeal carcinoma patients.
Huang Q; Yang C; Pang J; Zeng B; Yang P; Zhou R; Wu H; Shen L; Zhang R; Lou F; Jin Y; Abdilim A; Jin H; Zhang Z; Xie X
Front Oncol; 2023; 13():1168995. PubMed ID: 37954080
[TBL] [Abstract][Full Text] [Related]
10. Multi-view radiomics and dosiomics analysis with machine learning for predicting acute-phase weight loss in lung cancer patients treated with radiotherapy.
Lee SH; Han P; Hales RK; Voong KR; Noro K; Sugiyama S; Haller JW; McNutt TR; Lee J
Phys Med Biol; 2020 Sep; 65(19):195015. PubMed ID: 32235058
[TBL] [Abstract][Full Text] [Related]
11. A PET/CT radiomics model for predicting distant metastasis in early-stage non-small cell lung cancer patients treated with stereotactic body radiotherapy: a multicentric study.
Yu L; Zhang Z; Yi H; Wang J; Li J; Wang X; Bai H; Ge H; Zheng X; Ni J; Qi H; Guan Y; Xu W; Zhu Z; Xing L; Dekker A; Wee L; Traverso A; Ye Z; Yuan Z
Radiat Oncol; 2024 Jan; 19(1):10. PubMed ID: 38254106
[TBL] [Abstract][Full Text] [Related]
12. Enhancing brain metastasis prediction in non-small cell lung cancer: a deep learning-based segmentation and CT radiomics-based ensemble learning model.
Gong J; Wang T; Wang Z; Chu X; Hu T; Li M; Peng W; Feng F; Tong T; Gu Y
Cancer Imaging; 2024 Jan; 24(1):1. PubMed ID: 38167564
[TBL] [Abstract][Full Text] [Related]
13. Dosimetric Factors and Radiomics Features Within Different Regions of Interest in Planning CT Images for Improving the Prediction of Radiation Pneumonitis.
Jiang W; Song Y; Sun Z; Qiu J; Shi L
Int J Radiat Oncol Biol Phys; 2021 Jul; 110(4):1161-1170. PubMed ID: 33548340
[TBL] [Abstract][Full Text] [Related]
14. Radiomics feature analysis and model research for predicting histopathological subtypes of non-small cell lung cancer on CT images: A multi-dataset study.
Song F; Song X; Feng Y; Fan G; Sun Y; Zhang P; Li J; Liu F; Zhang G
Med Phys; 2023 Jul; 50(7):4351-4365. PubMed ID: 36682051
[TBL] [Abstract][Full Text] [Related]
15. Integration of dosimetric parameters, clinical factors, and radiomics to predict symptomatic radiation pneumonitis in lung cancer patients undergoing combined immunotherapy and radiotherapy.
Nie T; Chen Z; Cai J; Ai S; Xue X; Yuan M; Li C; Shi L; Liu Y; Verma V; Bi J; Han G; Yuan Z
Radiother Oncol; 2024 Jan; 190():110047. PubMed ID: 38070685
[TBL] [Abstract][Full Text] [Related]
16. A combined predictive model based on radiomics features and clinical factors for disease progression in early-stage non-small cell lung cancer treated with stereotactic ablative radiotherapy.
Yang H; Wang L; Shao G; Dong B; Wang F; Wei Y; Li P; Chen H; Chen W; Zheng Y; He Y; Zhao Y; Du X; Sun X; Wang Z; Wang Y; Zhou X; Lai X; Feng W; Shen L; Qiu G; Ji Y; Chen J; Jiang Y; Liu J; Zeng J; Wang C; Zhao Q; Yang X; Hu X; Ma H; Chen Q; Chen M; Jiang H; Xu Y
Front Oncol; 2022; 12():967360. PubMed ID: 35982975
[TBL] [Abstract][Full Text] [Related]
17. Radiomics and dosiomics for predicting complete response to definitive chemoradiotherapy patients with oesophageal squamous cell cancer using the hybrid institution model.
Kawahara D; Murakami Y; Awane S; Emoto Y; Iwashita K; Kubota H; Sasaki R; Nagata Y
Eur Radiol; 2024 Feb; 34(2):1200-1209. PubMed ID: 37589902
[TBL] [Abstract][Full Text] [Related]
18. Development and Validation of a CT-Based Signature for the Prediction of Distant Metastasis Before Treatment of Non-Small Cell Lung Cancer.
Tao J; Lv R; Liang C; Fang J; Liu D; Lan X; Huang H; Zhang J
Acad Radiol; 2022 Feb; 29 Suppl 2():S62-S72. PubMed ID: 33402298
[TBL] [Abstract][Full Text] [Related]
19. Prognostic value of
Wang B; Liu J; Zhang X; Wang Z; Cao Z; Lu L; Lv W; Wang A; Li S; Wu X; Dong X
EJNMMI Res; 2023 Feb; 13(1):14. PubMed ID: 36779997
[TBL] [Abstract][Full Text] [Related]
20. Pseudo-siamese network combined with dosimetric and clinical factors, radiomics features, CT images and 3D dose distribution for the prediction of radiation pneumonitis: A feasibility study.
Feng B; Zhou W; Yang X; Luo H; Zhang X; Yang D; Tao D; Wu Y; Jin F
Clin Transl Radiat Oncol; 2023 Jan; 38():188-194. PubMed ID: 36479235
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
