138 related articles for article (PubMed ID: 36462689)
1. Dosiomics Risk Model for Predicting Radiation Induced Temporal Lobe Injury and Guiding Individual Intensity-Modulated Radiation Therapy.
Yang SS; OuYang PY; Guo JG; Cai JJ; Zhang J; Peng QH; He Y; Zhang BY; Liu ZQ; Hu XF; Chen YF; Chen CY; Xie FY
Int J Radiat Oncol Biol Phys; 2023 Apr; 115(5):1291-1300. PubMed ID: 36462689
[TBL] [Abstract][Full Text] [Related]
2. Radiomics and dosiomics for predicting radiation-induced hypothyroidism and guiding intensity-modulated radiotherapy.
Yang SS; Peng QH; Wu AQ; Zhang BY; Liu ZQ; Chen EN; Xie FY; OuYang PY; Chen CY
iScience; 2023 Dec; 26(12):108394. PubMed ID: 38047064
[TBL] [Abstract][Full Text] [Related]
3. A deep learning-based method for the prediction of temporal lobe injury in patients with nasopharyngeal carcinoma.
Ren W; Liang B; Sun C; Wu R; Men K; Chen H; Feng X; Hou L; Han F; Yi J; Dai J
Phys Med; 2024 May; 121():103362. PubMed ID: 38653120
[TBL] [Abstract][Full Text] [Related]
4. Normal Tissue Complication Probability Model for Radiation-induced Temporal Lobe Injury after Intensity-modulated Radiation Therapy for Nasopharyngeal Carcinoma.
Zeng L; Huang SM; Tian YM; Sun XM; Han F; Lu TX; Deng XW
Radiology; 2015 Jul; 276(1):243-9. PubMed ID: 25658039
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. A MRI-based radiomics model predicting radiation-induced temporal lobe injury in nasopharyngeal carcinoma.
Bao D; Zhao Y; Li L; Lin M; Zhu Z; Yuan M; Zhong H; Xu H; Zhao X; Luo D
Eur Radiol; 2022 Oct; 32(10):6910-6921. PubMed ID: 35639143
[TBL] [Abstract][Full Text] [Related]
7. Magnetic resonance imaging-based radiomics model for predicting radiation-induced temporal lobe injury in nasopharyngeal carcinoma after intensity-modulated radiotherapy.
Bao D; Zhao Y; Liu Z; Xu H; Zhang Y; Yuan M; Li L; Lin M; Zhao X; Luo D
Head Neck; 2022 Dec; 44(12):2842-2853. PubMed ID: 36161397
[TBL] [Abstract][Full Text] [Related]
8. Normal tissue complication probability (NTCP) models for predicting temporal lobe injury after intensity-modulated radiotherapy in nasopharyngeal carcinoma: A large registry-based retrospective study from China.
Wen DW; Lin L; Mao YP; Chen CY; Chen FP; Wu CF; Huang XD; Li ZX; Xu SS; Kou J; Yang XL; Ma J; Sun Y; Zhou GQ
Radiother Oncol; 2021 Apr; 157():99-105. PubMed ID: 33484752
[TBL] [Abstract][Full Text] [Related]
9. Dosiomics improves prediction of locoregional recurrence for intensity modulated radiotherapy treated head and neck cancer cases.
Wu A; Li Y; Qi M; Lu X; Jia Q; Guo F; Dai Z; Liu Y; Chen C; Zhou L; Song T
Oral Oncol; 2020 May; 104():104625. PubMed ID: 32151995
[TBL] [Abstract][Full Text] [Related]
10. A machine learning approach for predicting radiation-induced hypothyroidism in patients with nasopharyngeal carcinoma undergoing tomotherapy.
Quan KR; Lin WR; Hong JB; Lin YH; Chen KQ; Chen JH; Cheng PJ
Sci Rep; 2024 Apr; 14(1):8436. PubMed ID: 38600141
[TBL] [Abstract][Full Text] [Related]
11. Dosimetric predictors of temporal lobe injury after intensity-modulated radiotherapy for T4 nasopharyngeal carcinoma: a competing risk study.
Huang J; Kong FF; Oei RW; Zhai RP; Hu CS; Ying HM
Radiat Oncol; 2019 Feb; 14(1):31. PubMed ID: 30736809
[TBL] [Abstract][Full Text] [Related]
12. Temporal lobe injury patterns following intensity modulated radiotherapy in a large cohort of nasopharyngeal carcinoma patients.
Lu L; Sheng Y; Zhang G; Li Y; OuYang PY; Ge Y; Xie T; Chang H; Deng X; Wu JQ
Oral Oncol; 2018 Oct; 85():8-14. PubMed ID: 30220323
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. MRI-based radiomics nomogram for predicting temporal lobe injury after radiotherapy in nasopharyngeal carcinoma.
Hou J; Li H; Zeng B; Pang P; Ai Z; Li F; Lu Q; Yu X
Eur Radiol; 2022 Feb; 32(2):1106-1114. PubMed ID: 34467454
[TBL] [Abstract][Full Text] [Related]
15. Nomogram Based on Clinical and Radiomics Data for Predicting Radiation-induced Temporal Lobe Injury in Patients with Non-metastatic Stage T4 Nasopharyngeal Carcinoma.
Bin X; Zhu C; Tang Y; Li R; Ding Q; Xia W; Tang Y; Tang X; Yao D; Tang A
Clin Oncol (R Coll Radiol); 2022 Dec; 34(12):e482-e492. PubMed ID: 36008245
[TBL] [Abstract][Full Text] [Related]
16. Dosiomics-based prediction of radiation-induced hypothyroidism in nasopharyngeal carcinoma patients.
Ren W; Liang B; Sun C; Wu R; Men K; Xu Y; Han F; Yi J; Qu Y; Dai J
Phys Med; 2021 Sep; 89():219-225. PubMed ID: 34425512
[TBL] [Abstract][Full Text] [Related]
17. Dose-Based Radiomic Analysis (Dosiomics) for Intensity Modulated Radiation Therapy in Patients With Prostate Cancer: Correlation Between Planned Dose Distribution and Biochemical Failure.
Murakami Y; Soyano T; Kozuka T; Ushijima M; Koizumi Y; Miyauchi H; Kaneko M; Nakano M; Kamima T; Hashimoto T; Yoshioka Y; Oguchi M
Int J Radiat Oncol Biol Phys; 2022 Jan; 112(1):247-259. PubMed ID: 34706278
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Prognostic generalization of multi-level CT-dose fusion dosiomics from primary tumor and lymph node in nasopharyngeal carcinoma.
Cai C; Lv W; Chi F; Zhang B; Zhu L; Yang G; Zhao S; Zhu Y; Han X; Dai Z; Wang X; Lu L
Med Phys; 2023 Feb; 50(2):922-934. PubMed ID: 36317870
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
