99 related articles for article (PubMed ID: 38813990)
1. Radiomics-based prediction of local control in patients with brain metastases following postoperative stereotactic radiotherapy.
Buchner JA; Kofler F; Mayinger M; Christ SM; Brunner TB; Wittig A; Menze B; Zimmer C; Meyer B; Guckenberger M; Andratschke N; El Shafie RA; Debus J; Rogers S; Riesterer O; Schulze K; Feldmann HJ; Blanck O; Zamboglou C; Ferentinos K; Bilger-Zähringer A; Grosu AL; Wolff R; Piraud M; Eitz KA; Combs SE; Bernhardt D; Rueckert D; Wiestler B; Peeken JC
Neuro Oncol; 2024 May; ():. PubMed ID: 38813990
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. MRI-based intratumoral and peritumoral radiomics for preoperative prediction of glioma grade: a multicenter study.
Tan R; Sui C; Wang C; Zhu T
Front Oncol; 2024; 14():1401977. PubMed ID: 38803534
[TBL] [Abstract][Full Text] [Related]
4. Development and validation of a radiomics-based prediction pipeline for the response to stereotactic radiosurgery therapy in brain metastases.
Du P; Liu X; Xiang R; Lv K; Chen H; Liu W; Cao A; Chen L; Wang X; Yu T; Ding J; Li W; Li J; Li Y; Yu Z; Zhu L; Liu J; Geng D
Eur Radiol; 2023 Dec; 33(12):8925-8935. PubMed ID: 37505244
[TBL] [Abstract][Full Text] [Related]
5. A priori prediction of local failure in brain metastasis after hypo-fractionated stereotactic radiotherapy using quantitative MRI and machine learning.
Jaberipour M; Soliman H; Sahgal A; Sadeghi-Naini A
Sci Rep; 2021 Nov; 11(1):21620. PubMed ID: 34732781
[TBL] [Abstract][Full Text] [Related]
6. Pretreatment Spatially Aware Magnetic Resonance Imaging Radiomics Can Predict Distant Brain Metastases (DBMs) After Stereotactic Radiosurgery/Radiation Therapy (SRS/SRT).
Bae J; Mani K; Zabrocka E; Cattell R; O'Grady B; Payne D; Roberson J; Ryu S; Prasanna P
Adv Radiat Oncol; 2024 May; 9(5):101457. PubMed ID: 38550363
[TBL] [Abstract][Full Text] [Related]
7. Prediction of treatment response in patients with brain metastasis receiving stereotactic radiosurgery based on pre-treatment multimodal MRI radiomics and clinical risk factors: A machine learning model.
Du P; Liu X; Shen L; Wu X; Chen J; Chen L; Cao A; Geng D
Front Oncol; 2023; 13():1114194. PubMed ID: 36994193
[TBL] [Abstract][Full Text] [Related]
8. Predicting Adverse Radiation Effects in Brain Tumors After Stereotactic Radiotherapy With Deep Learning and Handcrafted Radiomics.
Keek SA; Beuque M; Primakov S; Woodruff HC; Chatterjee A; van Timmeren JE; Vallières M; Hendriks LEL; Kraft J; Andratschke N; Braunstein SE; Morin O; Lambin P
Front Oncol; 2022; 12():920393. PubMed ID: 35912214
[TBL] [Abstract][Full Text] [Related]
9. Use of radiomics for the prediction of local control of brain metastases after stereotactic radiosurgery.
Mouraviev A; Detsky J; Sahgal A; Ruschin M; Lee YK; Karam I; Heyn C; Stanisz GJ; Martel AL
Neuro Oncol; 2020 Jun; 22(6):797-805. PubMed ID: 31956919
[TBL] [Abstract][Full Text] [Related]
10. Magnetic resonance imaging radiomics predicts preoperative axillary lymph node metastasis to support surgical decisions and is associated with tumor microenvironment in invasive breast cancer: A machine learning, multicenter study.
Yu Y; He Z; Ouyang J; Tan Y; Chen Y; Gu Y; Mao L; Ren W; Wang J; Lin L; Wu Z; Liu J; Ou Q; Hu Q; Li A; Chen K; Li C; Lu N; Li X; Su F; Liu Q; Xie C; Yao H
EBioMedicine; 2021 Jul; 69():103460. PubMed ID: 34233259
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Limited capability of MRI radiomics to predict primary tumor histology of brain metastases in external validation.
Strotzer QD; Wagner T; Angstwurm P; Hense K; Scheuermeyer L; Noeva E; Dinkel J; Stroszczynski C; Fellner C; Riemenschneider MJ; Rosengarth K; Pukrop T; Wiesinger I; Wendl C; Schicho A
Neurooncol Adv; 2024; 6(1):vdae060. PubMed ID: 38800697
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Predicting local failure of brain metastases after stereotactic radiosurgery with radiomics on planning MR images and dose maps.
Wang H; Xue J; Qu T; Bernstein K; Chen T; Barbee D; Silverman JS; Kondziolka D
Med Phys; 2021 Sep; 48(9):5522-5530. PubMed ID: 34287940
[TBL] [Abstract][Full Text] [Related]
15. Radiomics-Based Outcome Prediction for Pancreatic Cancer Following Stereotactic Body Radiotherapy.
Parr E; Du Q; Zhang C; Lin C; Kamal A; McAlister J; Liang X; Bavitz K; Rux G; Hollingsworth M; Baine M; Zheng D
Cancers (Basel); 2020 Apr; 12(4):. PubMed ID: 32344538
[TBL] [Abstract][Full Text] [Related]
16. Computed Tomography-Based Radiomics Model to Predict Central Cervical Lymph Node Metastases in Papillary Thyroid Carcinoma: A Multicenter Study.
Li J; Wu X; Mao N; Zheng G; Zhang H; Mou Y; Jia C; Mi J; Song X
Front Endocrinol (Lausanne); 2021; 12():741698. PubMed ID: 34745008
[TBL] [Abstract][Full Text] [Related]
17. Brain metastases from NSCLC treated with stereotactic radiotherapy: prediction mismatch between two different radiomic platforms.
Carloni G; Garibaldi C; Marvaso G; Volpe S; Zaffaroni M; Pepa M; Isaksson LJ; Colombo F; Durante S; Lo Presti G; Raimondi S; Spaggiari L; de Marinis F; Piperno G; Vigorito S; Gandini S; Cremonesi M; Positano V; Jereczek-Fossa BA
Radiother Oncol; 2023 Jan; 178():109424. PubMed ID: 36435336
[TBL] [Abstract][Full Text] [Related]
18. Can machine learning models improve early detection of brain metastases using diffusion weighted imaging-based radiomics?
Madamesila J; Tchistiakova E; Faruqi S; Das S; Ploquin N
Quant Imaging Med Surg; 2023 Dec; 13(12):7706-7718. PubMed ID: 38106308
[TBL] [Abstract][Full Text] [Related]
19. Machine Learning and Radiomics Analysis for Tumor Budding Prediction in Colorectal Liver Metastases Magnetic Resonance Imaging Assessment.
Granata V; Fusco R; Brunese MC; Ferrara G; Tatangelo F; Ottaiano A; Avallone A; Miele V; Normanno N; Izzo F; Petrillo A
Diagnostics (Basel); 2024 Jan; 14(2):. PubMed ID: 38248029
[TBL] [Abstract][Full Text] [Related]
20. MRI-based delta-radiomics predicts pathologic complete response in high-grade soft-tissue sarcoma patients treated with neoadjuvant therapy.
Peeken JC; Asadpour R; Specht K; Chen EY; Klymenko O; Akinkuoroye V; Hippe DS; Spraker MB; Schaub SK; Dapper H; Knebel C; Mayr NA; Gersing AS; Woodruff HC; Lambin P; Nyflot MJ; Combs SE
Radiother Oncol; 2021 Nov; 164():73-82. PubMed ID: 34506832
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
