104 related articles for article (PubMed ID: 25903708)
1. Correlation between (18)F-FDG uptake on PET/CT and prognostic factors in triple-negative breast cancer.
Koo HR; Park JS; Kang KW; Han W; Park IA; Moon WK
Eur Radiol; 2015 Nov; 25(11):3314-21. PubMed ID: 25903708
[TBL] [Abstract][Full Text] [Related]
2. Pretreatment
Gong C; Ma G; Hu X; Zhang Y; Wang Z; Zhang J; Zhao Y; Li Y; Xie Y; Yang Z; Wang B
Oncologist; 2018 Oct; 23(10):1144-1152. PubMed ID: 30082489
[TBL] [Abstract][Full Text] [Related]
3. Noninvasive
Henry KE; Dilling TR; Abdel-Atti D; Edwards KJ; Evans MJ; Lewis JS
J Nucl Med; 2018 Jan; 59(1):51-57. PubMed ID: 28848040
[TBL] [Abstract][Full Text] [Related]
4. Survival time prediction in patients with high-grade serous ovarian cancer based on
He D; Zhang X; Chang Z; Liu Z; Li B
BMC Cancer; 2024 Mar; 24(1):337. PubMed ID: 38475819
[TBL] [Abstract][Full Text] [Related]
5. Correlation between standardized uptake value of
Shin DJ; Choi H; Oh DK; Sung HP; Kim JH; Kim DH; Kim SY
Sci Rep; 2023 Jun; 13(1):9844. PubMed ID: 37330544
[TBL] [Abstract][Full Text] [Related]
6. The Correlation Between
Zhang LF; Li JL; Wang YH; Tai XH; Liu L; Zhang XX; An YW; Li HL
Cancer Biother Radiopharm; 2023 Aug; 38(6):364-370. PubMed ID: 34529925
[No Abstract] [Full Text] [Related]
7. Clinicopathological and molecular predictors of [
Llombart-Cussac A; Prat A; Pérez-García JM; Mateos J; Pascual T; Escrivà-de-Romani S; Stradella A; Ruiz-Borrego M; de Las Heras BB; Keyaerts M; Galvan P; Brasó-Maristany F; García-Mosquera JJ; Guiot T; Gion M; Sampayo-Cordero M; Di Cosimo S; Pérez-Escuredo J; de Frutos MA; Cortés J; Gebhart G
Eur J Nucl Med Mol Imaging; 2024 Apr; ():. PubMed ID: 38587643
[TBL] [Abstract][Full Text] [Related]
8. The influence of receptor expression and clinical subtypes on baseline [18F]FDG uptake in breast cancer: systematic review and meta-analysis.
de Mooij CM; Ploumen RAW; Nelemans PJ; Mottaghy FM; Smidt ML; van Nijnatten TJA
EJNMMI Res; 2023 Jan; 13(1):5. PubMed ID: 36689007
[TBL] [Abstract][Full Text] [Related]
9. Head-to-head comparison of
Kiatkittikul P; Mayurasakorn S; Promteangtrong C; Kunawudhi A; Siripongsatian D; Hirata N; Jantarato A; Boonkawin N; Yaset S; Kongsakorn P; Phewnual W; Chotipanich C
Eur J Hybrid Imaging; 2023 Dec; 7(1):23. PubMed ID: 38105347
[TBL] [Abstract][Full Text] [Related]
10. Computational reactive-diffusive modeling for stratification and prognosis determination of patients with breast cancer receiving Olaparib.
Schettini F; De Bonis MV; Strina C; Milani M; Ziglioli N; Aguggini S; Ciliberto I; Azzini C; Barbieri G; Cervoni V; Cappelletti MR; Ferrero G; Ungari M; Locci M; Paris I; Scambia G; Ruocco G; Generali D
Sci Rep; 2023 Jul; 13(1):11951. PubMed ID: 37488154
[TBL] [Abstract][Full Text] [Related]
11. [Advances on correlation of PET-CT findings with breast cancer molecular subtypes, treatment response and prognosis].
Pan J; He M; Ke W; Hu M; Wang M; Shen P
Zhejiang Da Xue Xue Bao Yi Xue Ban; 2017 May; 46(5):473-480. PubMed ID: 29488712
[TBL] [Abstract][Full Text] [Related]
12. Quantitative parameters of MRI and
Gelezhe PB; Blokhin IA; Marapov DI; Morozov SP
Am J Nucl Med Mol Imaging; 2020; 10(6):279-292. PubMed ID: 33329930
[TBL] [Abstract][Full Text] [Related]
13. The expression of Ki-67 and Glypican -3 in hepatocellular carcinoma was evaluated by comparing DWI and
Wang X; Li L; Wang L; Chen M
Front Oncol; 2023; 13():1026245. PubMed ID: 37920165
[TBL] [Abstract][Full Text] [Related]
14. Association of
Yoshikawa T; Endo K; Moriyama-Kita M; Ueno T; Nakanishi Y; Dochi H; Uno D; Kondo S; Yoshizaki T
Auris Nasus Larynx; 2024 May; 51(4):696-702. PubMed ID: 38733874
[TBL] [Abstract][Full Text] [Related]
15.
Zhou R; Choi H; Cao J; Pantel A; Gupta M; Lee HS; Mankoff D
J Nucl Med; 2023 Jan; 64(1):131-136. PubMed ID: 35772960
[TBL] [Abstract][Full Text] [Related]
16. Integrated analysis reveals the participation of IL4I1, ITGB7, and FUT7 in reshaping the TNBC immune microenvironment by targeting glycolysis.
Xu T; Liu J; Xia Y; Wang Z; Li X; Gao Q
Ann Med; 2021 Dec; 53(1):916-928. PubMed ID: 34134578
[TBL] [Abstract][Full Text] [Related]
17. Image-guided metabolomics and transcriptomics reveal tumour heterogeneity in luminal A and B human breast cancer beyond glucose tracer uptake.
Yang Q; Deng S; Preibsch H; Schade TC; Koch A; Berezhnoy G; Zizmare L; Fischer A; Gückel B; Staebler A; Hartkopf AD; Pichler BJ; la Fougère C; Hahn M; Bonzheim I; Nikolaou K; Trautwein C
Clin Transl Med; 2024 Feb; 14(2):e1550. PubMed ID: 38332687
[TBL] [Abstract][Full Text] [Related]
18. Dependence of fluorodeoxyglucose (FDG) uptake on cell cycle and dry mass: a single-cell study using a multi-modal radiography platform.
Sung Y; Tetrault MA; Takahashi K; Ouyang J; Pratx G; Fakhri GE; Normandin MD
Sci Rep; 2020 Mar; 10(1):4280. PubMed ID: 32152343
[TBL] [Abstract][Full Text] [Related]
19. Dynamic (18) F-FDG PET for Assessment of Tumor Physiology in Two Breast Carcinoma Xenografts.
Kristian A; Nilsen LB; Røe K; Revheim ME; Engebråten O; Mælandsmo GM; Holm R; Malinen E; Seierstad T
Nucl Med Mol Imaging; 2013 Sep; 47(3):173-80. PubMed ID: 24900104
[TBL] [Abstract][Full Text] [Related]
20. Advances in PET/CT Imaging for Breast Cancer.
de Jong D; Desperito E; Al Feghali KA; Dercle L; Seban RD; Das JP; Ma H; Sajan A; Braumuller B; Prendergast C; Liou C; Deng A; Roa T; Yeh R; Girard A; Salvatore MM; Capaccione KM
J Clin Med; 2023 Jul; 12(13):. PubMed ID: 37445572
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
