149 related articles for article (PubMed ID: 36706959)
1. Pseudoprogression in GBM versus true progression in patients with glioblastoma: A multiapproach analysis.
Sidibe I; Tensaouti F; Gilhodes J; Cabarrou B; Filleron T; Desmoulin F; Ken S; Noël G; Truc G; Sunyach MP; Charissoux M; Magné N; Lotterie JA; Roques M; Péran P; Cohen-Jonathan Moyal E; Laprie A
Radiother Oncol; 2023 Apr; 181():109486. PubMed ID: 36706959
[TBL] [Abstract][Full Text] [Related]
2. Three-dimensional echo planar spectroscopic imaging for differentiation of true progression from pseudoprogression in patients with glioblastoma.
Verma G; Chawla S; Mohan S; Wang S; Nasrallah M; Sheriff S; Desai A; Brem S; O'Rourke DM; Wolf RL; Maudsley AA; Poptani H
NMR Biomed; 2019 Feb; 32(2):e4042. PubMed ID: 30556932
[TBL] [Abstract][Full Text] [Related]
3. Distinguishing Tumor Recurrence From Radiation Necrosis in Treated Glioblastoma Using Multiparametric MRI.
Feng A; Yuan P; Huang T; Li L; Lyu J
Acad Radiol; 2022 Sep; 29(9):1320-1331. PubMed ID: 34896001
[TBL] [Abstract][Full Text] [Related]
4. 3-Dimensional magnetic resonance spectroscopic imaging at 3 Tesla for early response assessment of glioblastoma patients during external beam radiation therapy.
Muruganandham M; Clerkin PP; Smith BJ; Anderson CM; Morris A; Capizzano AA; Magnotta V; McGuire SM; Smith MC; Bayouth JE; Buatti JM
Int J Radiat Oncol Biol Phys; 2014 Sep; 90(1):181-9. PubMed ID: 24986746
[TBL] [Abstract][Full Text] [Related]
5. Validation of multiparametric MRI based prediction model in identification of pseudoprogression in glioblastomas.
de Godoy LL; Mohan S; Wang S; Nasrallah MP; Sakai Y; O'Rourke DM; Bagley S; Desai A; Loevner LA; Poptani H; Chawla S
J Transl Med; 2023 Apr; 21(1):287. PubMed ID: 37118754
[TBL] [Abstract][Full Text] [Related]
6. Magnetic resonance spectroscopy outperforms perfusion in distinguishing between pseudoprogression and disease progression in patients with glioblastoma.
El-Abtah ME; Talati P; Fu M; Chun B; Clark P; Peters A; Ranasinghe A; He J; Rapalino O; Batchelor TT; Gilberto Gonzalez R; Curry WT; Dietrich J; Gerstner ER; Ratai EM
Neurooncol Adv; 2022; 4(1):vdac128. PubMed ID: 36071927
[TBL] [Abstract][Full Text] [Related]
7. Multiparametric MR Imaging of Diffusion and Perfusion in Contrast-enhancing and Nonenhancing Components in Patients with Glioblastoma.
Boonzaier NR; Larkin TJ; Matys T; van der Hoorn A; Yan JL; Price SJ
Radiology; 2017 Jul; 284(1):180-190. PubMed ID: 28240563
[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. 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]
10. Differentiating pseudoprogression from true progression: analysis of radiographic, biologic, and clinical clues in GBM.
Rowe LS; Butman JA; Mackey M; Shih JH; Cooley-Zgela T; Ning H; Gilbert MR; Smart DK; Camphausen K; Krauze AV
J Neurooncol; 2018 Aug; 139(1):145-152. PubMed ID: 29767308
[TBL] [Abstract][Full Text] [Related]
11. Recurrent glioblastoma multiforme versus radiation injury: a multiparametric 3-T MR approach.
Di Costanzo A; Scarabino T; Trojsi F; Popolizio T; Bonavita S; de Cristofaro M; Conforti R; Cristofano A; Colonnese C; Salvolini U; Tedeschi G
Radiol Med; 2014 Aug; 119(8):616-24. PubMed ID: 24408041
[TBL] [Abstract][Full Text] [Related]
12. A deep learning model for discriminating true progression from pseudoprogression in glioblastoma patients.
Moassefi M; Faghani S; Conte GM; Kowalchuk RO; Vahdati S; Crompton DJ; Perez-Vega C; Cabreja RAD; Vora SA; Quiñones-Hinojosa A; Parney IF; Trifiletti DM; Erickson BJ
J Neurooncol; 2022 Sep; 159(2):447-455. PubMed ID: 35852738
[TBL] [Abstract][Full Text] [Related]
13. ACRIN 6684: Multicenter, phase II assessment of tumor hypoxia in newly diagnosed glioblastoma using magnetic resonance spectroscopy.
Ratai EM; Zhang Z; Fink J; Muzi M; Hanna L; Greco E; Richards T; Kim D; Andronesi OC; Mintz A; Kostakoglu L; Prah M; Ellingson B; Schmainda K; Sorensen G; Barboriak D; Mankoff D; Gerstner ER;
PLoS One; 2018; 13(6):e0198548. PubMed ID: 29902200
[TBL] [Abstract][Full Text] [Related]
14. Correlation analysis of expressions of PTEN and p53 with the value obtained by magnetic resonance spectroscopy and apparent diffusion coefficient in the tumor and the tumor-adjacent area in magnetic resonance imaging for glioblastoma.
Li Y; Ji F; Jiang Y; Zhao T; Xu C
J BUON; 2018; 23(2):391-397. PubMed ID: 29745082
[TBL] [Abstract][Full Text] [Related]
15. Evaluation of the lactate-to-N-acetyl-aspartate ratio defined with magnetic resonance spectroscopic imaging before radiation therapy as a new predictive marker of the site of relapse in patients with glioblastoma multiforme.
Deviers A; Ken S; Filleron T; Rowland B; Laruelo A; Catalaa I; Lubrano V; Celsis P; Berry I; Mogicato G; Cohen-Jonathan Moyal E; Laprie A
Int J Radiat Oncol Biol Phys; 2014 Oct; 90(2):385-93. PubMed ID: 25104068
[TBL] [Abstract][Full Text] [Related]
16. [Application of (1)H MR spectroscopic imaging in radiation oncology: choline as a marker for determining the relative probability of tumor progression after radiation of glial brain tumors].
Lichy MP; Bachert P; Hamprecht F; Weber MA; Debus J; Schulz-Ertner D; Schlemmer HP; Kauczor HU
Rofo; 2006 Jun; 178(6):627-33. PubMed ID: 16703499
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Histopathology-validated machine learning radiographic biomarker for noninvasive discrimination between true progression and pseudo-progression in glioblastoma.
Akbari H; Rathore S; Bakas S; Nasrallah MP; Shukla G; Mamourian E; Rozycki M; Bagley SJ; Rudie JD; Flanders AE; Dicker AP; Desai AS; O'Rourke DM; Brem S; Lustig R; Mohan S; Wolf RL; Bilello M; Martinez-Lage M; Davatzikos C
Cancer; 2020 Jun; 126(11):2625-2636. PubMed ID: 32129893
[TBL] [Abstract][Full Text] [Related]
19. The predictive value of absolute lymphocyte counts on tumor progression and pseudoprogression in patients with glioblastoma.
Xi J; Hassan B; Katumba RGN; Khaddour K; Govindan A; Luo J; Huang J; Campian JL
BMC Cancer; 2021 Mar; 21(1):285. PubMed ID: 33726710
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]