235 related articles for article (PubMed ID: 30961895)
1. CT-based radiomic features predict tumor grading and have prognostic value in patients with soft tissue sarcomas treated with neoadjuvant radiation therapy.
Peeken JC; Bernhofer M; Spraker MB; Pfeiffer D; Devecka M; Thamer A; Shouman MA; Ott A; Nüsslin F; Mayr NA; Rost B; Nyflot MJ; Combs SE
Radiother Oncol; 2019 Jun; 135():187-196. PubMed ID: 30961895
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Tumor grading of soft tissue sarcomas using MRI-based radiomics.
Peeken JC; Spraker MB; Knebel C; Dapper H; Pfeiffer D; Devecka M; Thamer A; Shouman MA; Ott A; von Eisenhart-Rothe R; Nüsslin F; Mayr NA; Nyflot MJ; Combs SE
EBioMedicine; 2019 Oct; 48():332-340. PubMed ID: 31522983
[TBL] [Abstract][Full Text] [Related]
4. Soft Tissue Sarcomas: Preoperative Predictive Histopathological Grading Based on Radiomics of MRI.
Zhang Y; Zhu Y; Shi X; Tao J; Cui J; Dai Y; Zheng M; Wang S
Acad Radiol; 2019 Sep; 26(9):1262-1268. PubMed ID: 30377057
[TBL] [Abstract][Full Text] [Related]
5. Outcomes and computed tomography radiomic features extraction in soft tissue sarcomas treated with neoadjuvant radiation therapy.
González-Viguera J; Reynés-Llompart G; Lozano A
Rep Pract Oncol Radiother; 2021; 26(5):804-813. PubMed ID: 34760315
[TBL] [Abstract][Full Text] [Related]
6. A CT-based radiomics classification model for the prediction of histological type and tumour grade in retroperitoneal sarcoma (RADSARC-R): a retrospective multicohort analysis.
Arthur A; Orton MR; Emsley R; Vit S; Kelly-Morland C; Strauss D; Lunn J; Doran S; Lmalem H; Nzokirantevye A; Litiere S; Bonvalot S; Haas R; Gronchi A; Van Gestel D; Ducassou A; Raut CP; Meeus P; Spalek M; Hatton M; Le Pechoux C; Thway K; Fisher C; Jones R; Huang PH; Messiou C
Lancet Oncol; 2023 Nov; 24(11):1277-1286. PubMed ID: 37922931
[TBL] [Abstract][Full Text] [Related]
7. Prognosis prediction of extremity and trunk wall soft-tissue sarcomas treated with surgical resection with radiomic analysis based on random survival forest.
Yang Y; Ma X; Wang Y; Ding X
Updates Surg; 2022 Feb; 74(1):355-365. PubMed ID: 34003477
[TBL] [Abstract][Full Text] [Related]
8. MRI-Based Computer-Aided Diagnostic Model to Predict Tumor Grading and Clinical Outcomes in Patients With Soft Tissue Sarcoma.
Yang Y; Zhou Y; Zhou C; Zhang X; Ma X
J Magn Reson Imaging; 2022 Dec; 56(6):1733-1745. PubMed ID: 35303756
[TBL] [Abstract][Full Text] [Related]
9. Noninvasive Fuhrman grading of clear cell renal cell carcinoma using computed tomography radiomic features and machine learning.
Nazari M; Shiri I; Hajianfar G; Oveisi N; Abdollahi H; Deevband MR; Oveisi M; Zaidi H
Radiol Med; 2020 Aug; 125(8):754-762. PubMed ID: 32193870
[TBL] [Abstract][Full Text] [Related]
10. Pathologic necrosis following neoadjuvant radiotherapy or chemoradiotherapy is prognostic of poor survival in soft tissue sarcoma.
Gannon NP; Stemm MH; King DM; Bedi M
J Cancer Res Clin Oncol; 2019 May; 145(5):1321-1330. PubMed ID: 30847552
[TBL] [Abstract][Full Text] [Related]
11. Treatment-related features improve machine learning prediction of prognosis in soft tissue sarcoma patients.
Peeken JC; Goldberg T; Knie C; Komboz B; Bernhofer M; Pasa F; Kessel KA; Tafti PD; Rost B; Nüsslin F; Braun AE; Combs SE
Strahlenther Onkol; 2018 Sep; 194(9):824-834. PubMed ID: 29557486
[TBL] [Abstract][Full Text] [Related]
12. Computed tomography-derived radiomic signature of head and neck squamous cell carcinoma (peri)tumoral tissue for the prediction of locoregional recurrence and distant metastasis after concurrent chemo-radiotherapy.
Keek S; Sanduleanu S; Wesseling F; de Roest R; van den Brekel M; van der Heijden M; Vens C; Giuseppina C; Licitra L; Scheckenbach K; Vergeer M; Leemans CR; Brakenhoff RH; Nauta I; Cavalieri S; Woodruff HC; Poli T; Leijenaar R; Hoebers F; Lambin P
PLoS One; 2020; 15(5):e0232639. PubMed ID: 32442178
[TBL] [Abstract][Full Text] [Related]
13. Radiomics Analysis of Fat-Saturated T2-Weighted MRI Sequences for the Prediction of Prognosis in Soft Tissue Sarcoma of the Extremities and Trunk Treated With Neoadjuvant Radiotherapy.
Chen S; Li N; Tang Y; Chen B; Fang H; Qi S; Lu N; Yang Y; Song Y; Liu Y; Wang S; Li YX; Jin J
Front Oncol; 2021; 11():710649. PubMed ID: 34604050
[TBL] [Abstract][Full Text] [Related]
14. Soft Tissue Sarcoma: Preoperative MRI-Based Radiomics and Machine Learning May Be Accurate Predictors of Histopathologic Grade.
Xu W; Hao D; Hou F; Zhang D; Wang H
AJR Am J Roentgenol; 2020 Oct; 215(4):963-969. PubMed ID: 32755226
[No Abstract] [Full Text] [Related]
15. High-Grade Soft-Tissue Sarcomas: Can Optimizing Dynamic Contrast-Enhanced MRI Postprocessing Improve Prognostic Radiomics Models?
Crombé A; Fadli D; Buy X; Italiano A; Saut O; Kind M
J Magn Reson Imaging; 2020 Jul; 52(1):282-297. PubMed ID: 31922323
[TBL] [Abstract][Full Text] [Related]
16. Deep learning radiomic nomogram to predict recurrence in soft tissue sarcoma: a multi-institutional study.
Liu S; Sun W; Yang S; Duan L; Huang C; Xu J; Hou F; Hao D; Yu T; Wang H
Eur Radiol; 2022 Feb; 32(2):793-805. PubMed ID: 34448928
[TBL] [Abstract][Full Text] [Related]
17. Radiomic analysis of soft tissues sarcomas can distinguish intermediate from high-grade lesions.
Corino VDA; Montin E; Messina A; Casali PG; Gronchi A; Marchianò A; Mainardi LT
J Magn Reson Imaging; 2018 Mar; 47(3):829-840. PubMed ID: 28653477
[TBL] [Abstract][Full Text] [Related]
18. Machine learning-based radiomic models to predict intensity-modulated radiation therapy response, Gleason score and stage in prostate cancer.
Abdollahi H; Mofid B; Shiri I; Razzaghdoust A; Saadipoor A; Mahdavi A; Galandooz HM; Mahdavi SR
Radiol Med; 2019 Jun; 124(6):555-567. PubMed ID: 30607868
[TBL] [Abstract][Full Text] [Related]
19. Habitat escalated adaptive therapy (HEAT): a phase 2 trial utilizing radiomic habitat-directed and genomic-adjusted radiation dose (GARD) optimization for high-grade soft tissue sarcoma.
Naghavi AO; Bryant JM; Kim Y; Weygand J; Redler G; Sim AJ; Miller J; Coucoules K; Michael LT; Gloria WE; Yang G; Rosenberg SA; Ahmed K; Bui MM; Henderson-Jackson EB; Lee A; Lee CD; Gonzalez RJ; Feygelman V; Eschrich SA; Scott JG; Torres-Roca J; Latifi K; Parikh N; Costello J
BMC Cancer; 2024 Apr; 24(1):437. PubMed ID: 38594603
[TBL] [Abstract][Full Text] [Related]
20. CT-based radiomics for prediction of therapeutic response to Everolimus in metastatic neuroendocrine tumors.
Caruso D; Polici M; Rinzivillo M; Zerunian M; Nacci I; Marasco M; Magi L; Tarallo M; Gargiulo S; Iannicelli E; Annibale B; Laghi A; Panzuto F
Radiol Med; 2022 Jul; 127(7):691-701. PubMed ID: 35717429
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
