214 related articles for article (PubMed ID: 34986546)
1. Computed tomography-based radiomic model predicts radiological response following stereotactic body radiation therapy in early-stage non-small-cell lung cancer and pulmonary oligo-metastases.
Cheung BMF; Lau KS; Lee VHF; Leung TW; Kong FS; Luk MY; Yuen KK
Radiat Oncol J; 2021 Dec; 39(4):254-264. PubMed ID: 34986546
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. 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]
5. Radiomic modeling to predict risk of vertebral compression fracture after stereotactic body radiation therapy for spinal metastases.
Gui C; Chen X; Sheikh K; Mathews L; Lo SL; Lee J; Khan MA; Sciubba DM; Redmond KJ
J Neurosurg Spine; 2022 Feb; 36(2):294-302. PubMed ID: 34560656
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Predictive value of 0.35 T magnetic resonance imaging radiomic features in stereotactic ablative body radiotherapy of pancreatic cancer: A pilot study.
Simpson G; Spieler B; Dogan N; Portelance L; Mellon EA; Kwon D; Ford JC; Yang F
Med Phys; 2020 Aug; 47(8):3682-3690. PubMed ID: 32329904
[TBL] [Abstract][Full Text] [Related]
8. Novel Harmonization Method for Multi-Centric Radiomic Studies in Non-Small Cell Lung Cancer.
Bertolini M; Trojani V; Botti A; Cucurachi N; Galaverni M; Cozzi S; Borghetti P; La Mattina S; Pastorello E; Avanzo M; Revelant A; Sepulcri M; Paronetto C; Ursino S; Malfatti G; Giaj-Levra N; Falcinelli L; Iotti C; Iori M; Ciammella P
Curr Oncol; 2022 Jul; 29(8):5179-5194. PubMed ID: 35892979
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. 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]
12. 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]
13. 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]
14. Association of pre-treatment radiomic features with lung cancer recurrence following stereotactic body radiation therapy.
Lafata KJ; Hong JC; Geng R; Ackerson BG; Liu JG; Zhou Z; Torok J; Kelsey CR; Yin FF
Phys Med Biol; 2019 Jan; 64(2):025007. PubMed ID: 30524018
[TBL] [Abstract][Full Text] [Related]
15. Evaluation of the performance of both machine learning models using PET and CT radiomics for predicting recurrence following lung stereotactic body radiation therapy: A single-institutional study.
Nemoto H; Saito M; Satoh Y; Komiyama T; Marino K; Aoki S; Suzuki H; Sano N; Nonaka H; Watanabe H; Funayama S; Onishi H
J Appl Clin Med Phys; 2024 Mar; ():e14322. PubMed ID: 38436611
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. 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]
18. Predictive Radiomic Models for the Chemotherapy Response in Non-Small-Cell Lung Cancer based on Computerized-Tomography Images.
Chang R; Qi S; Yue Y; Zhang X; Song J; Qian W
Front Oncol; 2021; 11():646190. PubMed ID: 34307127
[TBL] [Abstract][Full Text] [Related]
19. Classification of early stage non-small cell lung cancers on computed tomographic images into histological types using radiomic features: interobserver delineation variability analysis.
Haga A; Takahashi W; Aoki S; Nawa K; Yamashita H; Abe O; Nakagawa K
Radiol Phys Technol; 2018 Mar; 11(1):27-35. PubMed ID: 29209915
[TBL] [Abstract][Full Text] [Related]
20. Development of a multi-feature-combined model: proof-of-concept with application to local failure prediction of post-SBRT or surgery early-stage NSCLC patients.
Yang Z; Wang C; Wang Y; Lafata KJ; Zhang H; Ackerson BG; Kelsey C; Tong B; Yin FF
Front Oncol; 2023; 13():1185771. PubMed ID: 37781201
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
