324 related articles for article (PubMed ID: 34415574)
1. Combining computed tomography and biologically effective dose in radiomics and deep learning improves prediction of tumor response to robotic lung stereotactic body radiation therapy.
Avanzo M; Gagliardi V; Stancanello J; Blanck O; Pirrone G; El Naqa I; Revelant A; Sartor G
Med Phys; 2021 Oct; 48(10):6257-6269. PubMed ID: 34415574
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Multicentric development and evaluation of [
Lucia F; Louis T; Cousin F; Bourbonne V; Visvikis D; Mievis C; Jansen N; Duysinx B; Le Pennec R; Nebbache M; Rehn M; Hamya M; Geier M; Salaun PY; Schick U; Hatt M; Coucke P; Hustinx R; Lovinfosse P
Eur J Nucl Med Mol Imaging; 2024 Mar; 51(4):1097-1108. PubMed ID: 37987783
[TBL] [Abstract][Full Text] [Related]
4. Multi-institutional dose-segmented dosiomic analysis for predicting radiation pneumonitis after lung stereotactic body radiation therapy.
Adachi T; Nakamura M; Shintani T; Mitsuyoshi T; Kakino R; Ogata T; Ono T; Tanabe H; Kokubo M; Sakamoto T; Matsuo Y; Mizowaki T
Med Phys; 2021 Apr; 48(4):1781-1791. PubMed ID: 33576510
[TBL] [Abstract][Full Text] [Related]
5. Cone-beam CT radiomics features might improve the prediction of lung toxicity after SBRT in stage I NSCLC patients.
Qin Q; Shi A; Zhang R; Wen Q; Niu T; Chen J; Qiu Q; Wan Y; Sun X; Xing L
Thorac Cancer; 2020 Apr; 11(4):964-972. PubMed ID: 32061061
[TBL] [Abstract][Full Text] [Related]
6. Radiomics for prediction of radiation-induced lung injury and oncologic outcome after robotic stereotactic body radiotherapy of lung cancer: results from two independent institutions.
Bousabarah K; Blanck O; Temming S; Wilhelm ML; Hoevels M; Baus WW; Ruess D; Visser-Vandewalle V; Ruge MI; Treuer H; Kocher M
Radiat Oncol; 2021 Apr; 16(1):74. PubMed ID: 33863358
[TBL] [Abstract][Full Text] [Related]
7. CT-based radiomics prediction of complete response after stereotactic body radiation therapy for patients with lung metastases.
Cilla S; Pistilli D; Romano C; Macchia G; Pierro A; Arcelli A; Buwenge M; Morganti AG; Deodato F
Strahlenther Onkol; 2023 Jul; 199(7):676-685. PubMed ID: 37256303
[TBL] [Abstract][Full Text] [Related]
8. Pretreatment
Dissaux G; Visvikis D; Da-Ano R; Pradier O; Chajon E; Barillot I; Duvergé L; Masson I; Abgral R; Santiago Ribeiro MJ; Devillers A; Pallardy A; Fleury V; Mahé MA; De Crevoisier R; Hatt M; Schick U
J Nucl Med; 2020 Jun; 61(6):814-820. PubMed ID: 31732678
[TBL] [Abstract][Full Text] [Related]
9. Application and limitation of radiomics approach to prognostic prediction for lung stereotactic body radiotherapy using breath-hold CT images with random survival forest: A multi-institutional study.
Kakino R; Nakamura M; Mitsuyoshi T; Shintani T; Kokubo M; Negoro Y; Fushiki M; Ogura M; Itasaka S; Yamauchi C; Otsu S; Sakamoto T; Sakamoto M; Araki N; Hirashima H; Adachi T; Matsuo Y; Mizowaki T
Med Phys; 2020 Sep; 47(9):4634-4643. PubMed ID: 32645224
[TBL] [Abstract][Full Text] [Related]
10. Integration of Deep Learning Radiomics and Counts of Circulating Tumor Cells Improves Prediction of Outcomes of Early Stage NSCLC Patients Treated With Stereotactic Body Radiation Therapy.
Jiao Z; Li H; Xiao Y; Dorsey J; Simone CB; Feigenberg S; Kao G; Fan Y
Int J Radiat Oncol Biol Phys; 2022 Mar; 112(4):1045-1054. PubMed ID: 34775000
[TBL] [Abstract][Full Text] [Related]
11. Multiblock Discriminant Analysis of Integrative
Lee SH; Kao GD; Feigenberg SJ; Dorsey JF; Frick MA; Jean-Baptiste S; Uche CZ; Cengel KA; Levin WP; Berman AT; Aggarwal C; Fan Y; Xiao Y
Int J Radiat Oncol Biol Phys; 2021 Aug; 110(5):1451-1465. PubMed ID: 33662459
[TBL] [Abstract][Full Text] [Related]
12. Radiomics-based Assessment of Radiation-induced Lung Injury After Stereotactic Body Radiotherapy.
Moran A; Daly ME; Yip SSF; Yamamoto T
Clin Lung Cancer; 2017 Nov; 18(6):e425-e431. PubMed ID: 28623121
[TBL] [Abstract][Full Text] [Related]
13. Associations of Radiomic Data Extracted from Static and Respiratory-Gated CT Scans with Disease Recurrence in Lung Cancer Patients Treated with SBRT.
Huynh E; Coroller TP; Narayan V; Agrawal V; Romano J; Franco I; Parmar C; Hou Y; Mak RH; Aerts HJ
PLoS One; 2017; 12(1):e0169172. PubMed ID: 28046060
[TBL] [Abstract][Full Text] [Related]
14. CT imaging features associated with recurrence in non-small cell lung cancer patients after stereotactic body radiotherapy.
Li Q; Kim J; Balagurunathan Y; Qi J; Liu Y; Latifi K; Moros EG; Schabath MB; Ye Z; Gillies RJ; Dilling TJ
Radiat Oncol; 2017 Sep; 12(1):158. PubMed ID: 28946909
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. CT-based radiomic analysis of stereotactic body radiation therapy patients with lung cancer.
Huynh E; Coroller TP; Narayan V; Agrawal V; Hou Y; Romano J; Franco I; Mak RH; Aerts HJ
Radiother Oncol; 2016 Aug; 120(2):258-66. PubMed ID: 27296412
[TBL] [Abstract][Full Text] [Related]
17. Deep segmentation networks predict survival of non-small cell lung cancer.
Baek S; He Y; Allen BG; Buatti JM; Smith BJ; Tong L; Sun Z; Wu J; Diehn M; Loo BW; Plichta KA; Seyedin SN; Gannon M; Cabel KR; Kim Y; Wu X
Sci Rep; 2019 Nov; 9(1):17286. PubMed ID: 31754135
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Radiomic analysis of planning computed tomograms for predicting radiation-induced lung injury and outcome in lung cancer patients treated with robotic stereotactic body radiation therapy.
Bousabarah K; Temming S; Hoevels M; Borggrefe J; Baus WW; Ruess D; Visser-Vandewalle V; Ruge M; Kocher M; Treuer H
Strahlenther Onkol; 2019 Sep; 195(9):830-842. PubMed ID: 30874846
[TBL] [Abstract][Full Text] [Related]
20. Combination of Clinical Factors and Radiomics Can Predict Local Recurrence and Metastasis After Stereotactic Body Radiotherapy for Non-small Cell Lung Cancer.
Isoyama-Shirakawa Y; Yoshitake T; Ninomiya K; Asai K; Matsumoto K; Shioyama Y; Kodama T; Ishigami K; Arimura H
Anticancer Res; 2023 Nov; 43(11):5003-5013. PubMed ID: 37909956
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
