169 related articles for article (PubMed ID: 37227179)
1. Taming Glioblastoma in "Real Time": Integrating Multimodal Advanced Neuroimaging/AI Tools Towards Creating a Robust and Therapy Agnostic Model for Response Assessment in Neuro-Oncology.
de Godoy LL; Chawla S; Brem S; Mohan S
Clin Cancer Res; 2023 Jul; 29(14):2588-2592. PubMed ID: 37227179
[TBL] [Abstract][Full Text] [Related]
2. Response Assessment in Neuro-Oncology criteria, contrast enhancement and perfusion MRI for assessing progression in glioblastoma.
Tensaouti F; Khalifa J; Lusque A; Plas B; Lotterie JA; Berry I; Laprie A; Cohen-Jonathan Moyal E; Lubrano V
Neuroradiology; 2017 Oct; 59(10):1013-1020. PubMed ID: 28842741
[TBL] [Abstract][Full Text] [Related]
3. Emerging MRI Techniques to Redefine Treatment Response in Patients With Glioblastoma.
Gonçalves FG; Chawla S; Mohan S
J Magn Reson Imaging; 2020 Oct; 52(4):978-997. PubMed ID: 32190946
[TBL] [Abstract][Full Text] [Related]
4. Advanced imaging techniques for neuro-oncologic tumor diagnosis, with an emphasis on PET-MRI imaging of malignant brain tumors.
Overcast WB; Davis KM; Ho CY; Hutchins GD; Green MA; Graner BD; Veronesi MC
Curr Oncol Rep; 2021 Feb; 23(3):34. PubMed ID: 33599882
[TBL] [Abstract][Full Text] [Related]
5. Advanced magnetic resonance imaging in glioblastoma: a review.
Shukla G; Alexander GS; Bakas S; Nikam R; Talekar K; Palmer JD; Shi W
Chin Clin Oncol; 2017 Aug; 6(4):40. PubMed ID: 28841802
[TBL] [Abstract][Full Text] [Related]
6. Evaluation of pseudoprogression in patients with glioblastoma multiforme using dynamic magnetic resonance imaging with ferumoxytol calls RANO criteria into question.
Nasseri M; Gahramanov S; Netto JP; Fu R; Muldoon LL; Varallyay C; Hamilton BE; Neuwelt EA
Neuro Oncol; 2014 Aug; 16(8):1146-54. PubMed ID: 24523362
[TBL] [Abstract][Full Text] [Related]
7. Challenges and opportunities for advanced neuroimaging of glioblastoma.
Henssen D; Meijer F; Verburg FA; Smits M
Br J Radiol; 2023 Jan; 96(1141):20211232. PubMed ID: 36062962
[TBL] [Abstract][Full Text] [Related]
8. Combination of IVIM-DWI and 3D-ASL for differentiating true progression from pseudoprogression of Glioblastoma multiforme after concurrent chemoradiotherapy: study protocol of a prospective diagnostic trial.
Liu ZC; Yan LF; Hu YC; Sun YZ; Tian Q; Nan HY; Yu Y; Sun Q; Wang W; Cui GB
BMC Med Imaging; 2017 Feb; 17(1):10. PubMed ID: 28143434
[TBL] [Abstract][Full Text] [Related]
9. Pseudoprogression versus true progression in glioblastoma patients: A multiapproach literature review. Part 2 - Radiological features and metric markers.
Le Fèvre C; Constans JM; Chambrelant I; Antoni D; Bund C; Leroy-Freschini B; Schott R; Cebula H; Noël G
Crit Rev Oncol Hematol; 2021 Mar; 159():103230. PubMed ID: 33515701
[TBL] [Abstract][Full Text] [Related]
10. Metabolic and physiologic magnetic resonance imaging in distinguishing true progression from pseudoprogression in patients with glioblastoma.
Chawla S; Bukhari S; Afridi OM; Wang S; Yadav SK; Akbari H; Verma G; Nath K; Haris M; Bagley S; Davatzikos C; Loevner LA; Mohan S
NMR Biomed; 2022 Jul; 35(7):e4719. PubMed ID: 35233862
[TBL] [Abstract][Full Text] [Related]
11. Physiologic MRI for assessment of response to therapy and prognosis in glioblastoma.
Shiroishi MS; Boxerman JL; Pope WB
Neuro Oncol; 2016 Apr; 18(4):467-78. PubMed ID: 26364321
[TBL] [Abstract][Full Text] [Related]
12. Artificial intelligence (AI)-based decision support improves reproducibility of tumor response assessment in neuro-oncology: An international multi-reader study.
Vollmuth P; Foltyn M; Huang RY; Galldiks N; Petersen J; Isensee F; van den Bent MJ; Barkhof F; Park JE; Park YW; Ahn SS; Brugnara G; Meredig H; Jain R; Smits M; Pope WB; Maier-Hein K; Weller M; Wen PY; Wick W; Bendszus M
Neuro Oncol; 2023 Mar; 25(3):533-543. PubMed ID: 35917833
[TBL] [Abstract][Full Text] [Related]
13. Differentiating Tumor Progression from Pseudoprogression in Patients with Glioblastomas Using Diffusion Tensor Imaging and Dynamic Susceptibility Contrast MRI.
Wang S; Martinez-Lage M; Sakai Y; Chawla S; Kim SG; Alonso-Basanta M; Lustig RA; Brem S; Mohan S; Wolf RL; Desai A; Poptani H
AJNR Am J Neuroradiol; 2016 Jan; 37(1):28-36. PubMed ID: 26450533
[TBL] [Abstract][Full Text] [Related]
14. Incorporating diffusion- and perfusion-weighted MRI into a radiomics model improves diagnostic performance for pseudoprogression in glioblastoma patients.
Kim JY; Park JE; Jo Y; Shim WH; Nam SJ; Kim JH; Yoo RE; Choi SH; Kim HS
Neuro Oncol; 2019 Feb; 21(3):404-414. PubMed ID: 30107606
[TBL] [Abstract][Full Text] [Related]
15. 18F-FCho PET and MRI for the prediction of response in glioblastoma patients according to the RANO criteria.
Bolcaen J; Acou M; Boterberg T; Vanhove C; De Vos F; Van den Broecke C; Van Holen R; Deblaere K; Goethals I
Nucl Med Commun; 2017 Mar; 38(3):242-249. PubMed ID: 27984537
[TBL] [Abstract][Full Text] [Related]
16. Modified Criteria for Radiographic Response Assessment in Glioblastoma Clinical Trials.
Ellingson BM; Wen PY; Cloughesy TF
Neurotherapeutics; 2017 Apr; 14(2):307-320. PubMed ID: 28108885
[TBL] [Abstract][Full Text] [Related]
17. Noninvasive Glioblastoma Testing: Multimodal Approach to Monitoring and Predicting Treatment Response.
Verduin M; Compter I; Steijvers D; Postma AA; Eekers DBP; Anten MM; Ackermans L; Ter Laan M; Leijenaar RTH; van de Weijer T; Tjan-Heijnen VCG; Hoeben A; Vooijs M
Dis Markers; 2018; 2018():2908609. PubMed ID: 29581794
[TBL] [Abstract][Full Text] [Related]
18. Pseudoprogression in patients with glioblastoma: added value of arterial spin labeling to dynamic susceptibility contrast perfusion MR imaging.
Choi YJ; Kim HS; Jahng GH; Kim SJ; Suh DC
Acta Radiol; 2013 May; 54(4):448-54. PubMed ID: 23592805
[TBL] [Abstract][Full Text] [Related]
19. Imaging biomarkers guided anti-angiogenic therapy for malignant gliomas.
Kong Z; Yan C; Zhu R; Wang J; Wang Y; Wang Y; Wang R; Feng F; Ma W
Neuroimage Clin; 2018; 20():51-60. PubMed ID: 30069427
[TBL] [Abstract][Full Text] [Related]
20. Differentiation of Pseudoprogression from True Progressionin Glioblastoma Patients after Standard Treatment: A Machine Learning Strategy Combinedwith Radiomics Features from T
Sun YZ; Yan LF; Han Y; Nan HY; Xiao G; Tian Q; Pu WH; Li ZY; Wei XC; Wang W; Cui GB
BMC Med Imaging; 2021 Feb; 21(1):17. PubMed ID: 33535988
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
