262 related articles for article (PubMed ID: 28046060)
1. 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]
2. 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]
3. 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]
4. 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]
5. 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]
6. 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]
7. Identification of CT radiomic features robust to acquisition and segmentation variations for improved prediction of radiotherapy-treated lung cancer patient recurrence.
Louis T; Lucia F; Cousin F; Mievis C; Jansen N; Duysinx B; Le Pennec R; Visvikis D; Nebbache M; Rehn M; Hamya M; Geier M; Salaun PY; Schick U; Hatt M; Coucke P; Lovinfosse P; Hustinx R
Sci Rep; 2024 Apr; 14(1):9028. PubMed ID: 38641673
[TBL] [Abstract][Full Text] [Related]
8. Unsupervised machine learning of radiomic features for predicting treatment response and overall survival of early stage non-small cell lung cancer patients treated with stereotactic body radiation therapy.
Li H; Galperin-Aizenberg M; Pryma D; Simone CB; Fan Y
Radiother Oncol; 2018 Nov; 129(2):218-226. PubMed ID: 30473058
[TBL] [Abstract][Full Text] [Related]
9. Preoperative CT-based radiomic prognostic index to predict the benefit of postoperative radiotherapy in patients with non-small cell lung cancer: a multicenter study.
Ma Z; Men Y; Liu Y; Bao Y; Liu Q; Yang X; Wang J; Deng L; Zhai Y; Bi N; Wang L; Hui Z
Cancer Imaging; 2024 May; 24(1):61. PubMed ID: 38741207
[TBL] [Abstract][Full Text] [Related]
10. Exploring published and novel pre-treatment CT and PET radiomics to stratify risk of progression among early-stage non-small cell lung cancer patients treated with stereotactic radiation.
Thor M; Fitzgerald K; Apte A; Oh JH; Iyer A; Odiase O; Nadeem S; Yorke ED; Chaft J; Wu AJ; Offin M; Simone Ii CB; Preeshagul I; Gelblum DY; Gomez D; Deasy JO; Rimner A
Radiother Oncol; 2024 Jan; 190():109983. PubMed ID: 37926331
[TBL] [Abstract][Full Text] [Related]
11. Predicting pathologic response to neoadjuvant chemoradiation in resectable stage III non-small cell lung cancer patients using computed tomography radiomic features.
Khorrami M; Jain P; Bera K; Alilou M; Thawani R; Patil P; Ahmad U; Murthy S; Stephans K; Fu P; Velcheti V; Madabhushi A
Lung Cancer; 2019 Sep; 135():1-9. PubMed ID: 31446979
[TBL] [Abstract][Full Text] [Related]
12. Application of 18 F-fluorodeoxyglucose PET/CT radiomic features and machine learning to predict early recurrence of non-small cell lung cancer after curative-intent therapy.
Park SB; Kim KU; Park YW; Hwang JH; Lim CH
Nucl Med Commun; 2023 Feb; 44(2):161-168. PubMed ID: 36458424
[TBL] [Abstract][Full Text] [Related]
13. Non-invasive classification of non-small cell lung cancer: a comparison between random forest models utilising radiomic and semantic features.
Bashir U; Kawa B; Siddique M; Mak SM; Nair A; Mclean E; Bille A; Goh V; Cook G
Br J Radiol; 2019 Jul; 92(1099):20190159. PubMed ID: 31166787
[TBL] [Abstract][Full Text] [Related]
14. Radiomics-based Prognosis Analysis for Non-Small Cell Lung Cancer.
Zhang Y; Oikonomou A; Wong A; Haider MA; Khalvati F
Sci Rep; 2017 Apr; 7():46349. PubMed ID: 28418006
[TBL] [Abstract][Full Text] [Related]
15. Classification of Histological Types and Stages in Non-small Cell Lung Cancer Using Radiomic Features Based on CT Images.
Lin J; Yu Y; Zhang X; Wang Z; Li S
J Digit Imaging; 2023 Jun; 36(3):1029-1037. PubMed ID: 36828962
[TBL] [Abstract][Full Text] [Related]
16. Developing a clinical-radiomic prediction model for 3-year cancer-specific survival in lung cancer patients treated with stereotactic body radiation therapy.
Huang BT; Wang Y; Lin PX
J Cancer Res Clin Oncol; 2024 Jan; 150(2):34. PubMed ID: 38277078
[TBL] [Abstract][Full Text] [Related]
17. Multi-omics integrative modelling for stereotactic body radiotherapy in early-stage non-small cell lung cancer: clinical trial protocol of the MONDRIAN study.
Volpe S; Zaffaroni M; Piperno G; Vincini MG; Zerella MA; Mastroleo F; Cattani F; Fodor CI; Bellerba F; Bonaldi T; Bonizzi G; Ceci F; Cremonesi M; Fusco N; Gandini S; Garibaldi C; Torre D; Noberini R; Petralia G; Spaggiari L; Venetis K; Orecchia R; Casiraghi M; Jereczek-Fossa BA
BMC Cancer; 2023 Dec; 23(1):1236. PubMed ID: 38102575
[TBL] [Abstract][Full Text] [Related]
18. Associations between radiologist-defined semantic and automatically computed radiomic features in non-small cell lung cancer.
Yip SSF; Liu Y; Parmar C; Li Q; Liu S; Qu F; Ye Z; Gillies RJ; Aerts HJWL
Sci Rep; 2017 Jun; 7(1):3519. PubMed ID: 28615677
[TBL] [Abstract][Full Text] [Related]
19. Radiomic phenotyping of the lung parenchyma in a lung cancer screening cohort.
Haghighi B; Horng H; Noël PB; Cohen EA; Pantalone L; Vachani A; Rendle KA; Wainwright J; Saia C; Shinohara RT; Barbosa EM; Kontos D
Sci Rep; 2023 Feb; 13(1):2040. PubMed ID: 36739358
[TBL] [Abstract][Full Text] [Related]
20. Discovery of stable and prognostic CT-based radiomic features independent of contrast administration and dimensionality in oesophageal cancer.
Piazzese C; Foley K; Whybra P; Hurt C; Crosby T; Spezi E
PLoS One; 2019; 14(11):e0225550. PubMed ID: 31756181
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
