BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

385 related articles for article (PubMed ID: 28815452)

  • 1.
    Tsujikawa T; Rahman T; Yamamoto M; Yamada S; Tsuyoshi H; Kiyono Y; Kimura H; Yoshida Y; Okazawa H
    Ann Nucl Med; 2017 Nov; 31(9):678-685. PubMed ID: 28815452
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Reproducibility of F18-FDG PET radiomic features for different cervical tumor segmentation methods, gray-level discretization, and reconstruction algorithms.
    Altazi BA; Zhang GG; Fernandez DC; Montejo ME; Hunt D; Werner J; Biagioli MC; Moros EG
    J Appl Clin Med Phys; 2017 Nov; 18(6):32-48. PubMed ID: 28891217
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Textural features of pretreatment 18F-FDG PET/CT images: prognostic significance in patients with advanced T-stage oropharyngeal squamous cell carcinoma.
    Cheng NM; Fang YH; Chang JT; Huang CG; Tsan DL; Ng SH; Wang HM; Lin CY; Liao CT; Yen TC
    J Nucl Med; 2013 Oct; 54(10):1703-9. PubMed ID: 24042030
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Different Prognostic Implications of 18F-FDG PET Between Histological Subtypes in Patients With Cervical Cancer.
    Rahman T; Tsujikawa T; Yamamoto M; Chino Y; Shinagawa A; Kurokawa T; Tsuchida T; Kimura H; Yoshida Y; Okazawa H
    Medicine (Baltimore); 2016 Mar; 95(9):e3017. PubMed ID: 26945427
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Value of [
    Li K; Sun H; Lu Z; Xin J; Zhang L; Guo Y; Guo Q
    Eur J Radiol; 2018 Sep; 106():160-166. PubMed ID: 30150039
    [TBL] [Abstract][Full Text] [Related]  

  • 6. FDG PET/CT radiomics for predicting the outcome of locally advanced rectal cancer.
    Lovinfosse P; Polus M; Van Daele D; Martinive P; Daenen F; Hatt M; Visvikis D; Koopmansch B; Lambert F; Coimbra C; Seidel L; Albert A; Delvenne P; Hustinx R
    Eur J Nucl Med Mol Imaging; 2018 Mar; 45(3):365-375. PubMed ID: 29046927
    [TBL] [Abstract][Full Text] [Related]  

  • 7. PET/MRI and PET/CT Radiomics in Primary Cervical Cancer: A Pilot Study on the Correlation of Pelvic PET, MRI, and CT Derived Image Features.
    Esfahani SA; Torrado-Carvajal A; Amorim BJ; Groshar D; Domachevsky L; Bernstine H; Stein D; Gervais D; Catalano OA
    Mol Imaging Biol; 2022 Feb; 24(1):60-69. PubMed ID: 34622425
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Relationship between
    Du S; Sun H; Gao S; Xin J; Lu Z; Chen Z; Pan S; Guo Q
    Clin Radiol; 2019 Mar; 74(3):178-186. PubMed ID: 30545566
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Relationship of 18F-FDG PET/CT metabolic, clinical and pathological characteristics of primary squamous cell carcinoma of the cervix.
    Xu W; Yu S; Xin J; Guo Q
    J Investig Med; 2016 Dec; 64(8):1246-1251. PubMed ID: 27436350
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Prognostic value of preoperative intratumoral FDG uptake heterogeneity in early stage uterine cervical cancer.
    Chung HH; Kang SY; Ha S; Kim JW; Park NH; Song YS; Cheon GJ
    J Gynecol Oncol; 2016 Mar; 27(2):e15. PubMed ID: 26768781
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Prognostic value of metabolic tumor burden from (18)F-FDG PET in surgical patients with non-small-cell lung cancer.
    Zhang H; Wroblewski K; Liao S; Kampalath R; Penney BC; Zhang Y; Pu Y
    Acad Radiol; 2013 Jan; 20(1):32-40. PubMed ID: 22999369
    [TBL] [Abstract][Full Text] [Related]  

  • 12. The Volume-metabolic Combined Parameters from (18)F-FDG PET/CT May Help Predict the Outcomes of Cervical Carcinoma.
    Sun Y; Lu P; Yu L
    Acad Radiol; 2016 May; 23(5):605-10. PubMed ID: 26853968
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Textural features and SUV-based variables assessed by dual time point 18F-FDG PET/CT in locally advanced breast cancer.
    Garcia-Vicente AM; Molina D; Pérez-Beteta J; Amo-Salas M; Martínez-González A; Bueno G; Tello-Galán MJ; Soriano-Castrejón Á
    Ann Nucl Med; 2017 Dec; 31(10):726-735. PubMed ID: 28887761
    [TBL] [Abstract][Full Text] [Related]  

  • 14. [18]Fluorodeoxyglucose Positron Emission Tomography for the Textural Features of Cervical Cancer Associated with Lymph Node Metastasis and Histological Type.
    Shen WC; Chen SW; Liang JA; Hsieh TC; Yen KY; Kao CH
    Eur J Nucl Med Mol Imaging; 2017 Sep; 44(10):1721-1731. PubMed ID: 28409221
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Radiomics analysis of pre-treatment [
    van Helden EJ; Vacher YJL; van Wieringen WN; van Velden FHP; Verheul HMW; Hoekstra OS; Boellaard R; Menke-van der Houven van Oordt CW
    Eur J Nucl Med Mol Imaging; 2018 Dec; 45(13):2307-2317. PubMed ID: 30094460
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Assessment of intratumor heterogeneity in mesenchymal uterine tumor by an
    Tsujikawa T; Yamamoto M; Shono K; Yamada S; Tsuyoshi H; Kiyono Y; Kimura H; Okazawa H; Yoshida Y
    Ann Nucl Med; 2017 Dec; 31(10):752-757. PubMed ID: 28905201
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Texture Analysis on [
    Bianconi F; Palumbo I; Fravolini ML; Chiari R; Minestrini M; Brunese L; Palumbo B
    Mol Imaging Biol; 2019 Dec; 21(6):1200-1209. PubMed ID: 30847822
    [TBL] [Abstract][Full Text] [Related]  

  • 18. CT radiomics analysis of lung cancers: Differentiation of squamous cell carcinoma from adenocarcinoma, a correlative study with FDG uptake.
    Tomori Y; Yamashiro T; Tomita H; Tsubakimoto M; Ishigami K; Atsumi E; Murayama S
    Eur J Radiol; 2020 Jul; 128():109032. PubMed ID: 32361604
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Prognostic value of initial [ 18 F]FDG PET/computed tomography volumetric and texture analysis-based parameters in patients with head and neck squamous cell carcinoma.
    Elahmadawy MA; Ashraf A; Moustafa H; Kotb M; Abd El-Gaid S
    Nucl Med Commun; 2023 Jul; 44(7):653-662. PubMed ID: 37038954
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Repeatability of
    Crandall JP; Fraum TJ; Lee M; Jiang L; Grigsby P; Wahl RL
    J Nucl Med; 2021 May; 62(5):707-715. PubMed ID: 33008931
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 20.