BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

145 related articles for article (PubMed ID: 37277546)

  • 1. Value of [
    Burchardt E; Bos-Liedke A; Serkowska K; Cegla P; Piotrowski A; Malicki J
    Sci Rep; 2023 Jun; 13(1):9092. PubMed ID: 37277546
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Metabolic parameters of [
    Markus M; Sartor H; Bjurberg M; Trägårdh E
    Acta Oncol; 2023 Feb; 62(2):180-188. PubMed ID: 36815676
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. 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]  

  • 5. 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]  

  • 6. Utility of pre-treatment 18 F-fluorodeoxyglucose PET radiomic analysis in assessing nodal involvement in cervical cancer.
    Chan KC; Perucho JAU; Subramaniam RM; Lee EYP
    Nucl Med Commun; 2023 May; 44(5):375-380. PubMed ID: 36826394
    [TBL] [Abstract][Full Text] [Related]  

  • 7. The role of
    Rufini V; Collarino A; Calcagni ML; Meduri GM; Fuoco V; Pasciuto T; Testa AC; Ferrandina G; Gambacorta MA; Campitelli M; Gui B; Zannoni G; Manfredi R; Scambia G; Giordano A
    Eur J Nucl Med Mol Imaging; 2020 May; 47(5):1228-1238. PubMed ID: 31414206
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Assessment of treatment responses in children and adolescents with Ewing sarcoma with metabolic tumor parameters derived from
    Schmidkonz C; Krumbholz M; Atzinger A; Cordes M; Goetz TI; Prante O; Ritt P; Schaefer C; Agaimy A; Hartmann W; Rössig C; Fröhlich B; Bäuerle T; Dirksen U; Kuwert T; Metzler M
    Eur J Nucl Med Mol Imaging; 2020 Jun; 47(6):1564-1575. PubMed ID: 31853559
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Prognostic significance of metabolic tumor volume and total lesion glycolysis in patients with advanced cervical carcinoma.
    Calles-Sastre L; Mucientes-Rasilla J; San-Frutos Llorente LM; Royuela A; Garcia-Espantaleón Navas M; Herrero Gámiz S; Pérez-Medina T
    Rev Esp Med Nucl Imagen Mol (Engl Ed); 2019; 38(1):17-21. PubMed ID: 30366731
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Combined pre-treatment MRI and 18F-FDG PET/CT parameters as prognostic biomarkers in patients with cervical cancer.
    Miccò M; Vargas HA; Burger IA; Kollmeier MA; Goldman DA; Park KJ; Abu-Rustum NR; Hricak H; Sala E
    Eur J Radiol; 2014 Jul; 83(7):1169-1176. PubMed ID: 24767630
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Prognostic value of pre-therapeutic FDG-PET radiomic analysis in gastro-esophageal junction cancer.
    Amrane K; Thuillier P; Bourhis D; Le Meur C; Quere C; Leclere JC; Ferec M; Jestin-Le Tallec V; Doucet L; Alemany P; Salaun PY; Metges JP; Schick U; Abgral R
    Sci Rep; 2023 Apr; 13(1):5789. PubMed ID: 37031233
    [TBL] [Abstract][Full Text] [Related]  

  • 13. The correlation of
    Qu YH; Long N; Ran C; Sun J
    Clin Transl Oncol; 2021 Mar; 23(3):620-627. PubMed ID: 32683540
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Correlation of
    Mayoral M; Paredes P; Saco A; Fusté P; Perlaza P; Tapias A; Fernandez-Martinez A; Vidal L; Ordi J; Pavia J; Martinez-Roman S; Lomeña F
    Rev Esp Med Nucl Imagen Mol (Engl Ed); 2018; 37(2):80-86. PubMed ID: 28869177
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Comparison of FDG PET metabolic tumour volume versus ADC histogram: prognostic value of tumour treatment response and survival in patients with locally advanced uterine cervical cancer.
    Ueno Y; Lisbona R; Tamada T; Alaref A; Sugimura K; Reinhold C
    Br J Radiol; 2017 Jul; 90(1075):20170035. PubMed ID: 28508679
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Standardized uptake value and metabolic tumor volume measured by ¹⁸F FDG PET/CT are sensitive biomarkers for the presence of lymph node metastasis in patients with cervical carcinoma.
    Vural GU; Akkas BE; Demirel BB
    Rev Esp Med Nucl Imagen Mol; 2014; 33(5):268-73. PubMed ID: 25018135
    [TBL] [Abstract][Full Text] [Related]  

  • 17. [The relationship between (18)F-FDG PET/CT metabolic parameters and clinicopathological features of breast cancer].
    Tang B; Zhang Y; Zhou J; Xu Y; Li TR; Ding CY
    Zhonghua Zhong Liu Za Zhi; 2017 Apr; 39(4):280-285. PubMed ID: 28550668
    [No Abstract]   [Full Text] [Related]  

  • 18.
    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]  

  • 19. 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]  

  • 20. Cervical Cancer: Associations between Metabolic Parameters and Whole Lesion Histogram Analysis Derived from Simultaneous
    Meyer HJ; Purz S; Sabri O; Surov A
    Contrast Media Mol Imaging; 2018; 2018():5063285. PubMed ID: 30154687
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.