BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

253 related articles for article (PubMed ID: 28956113)

  • 21. Renal cell carcinoma: applicability of the apparent coefficient of the diffusion-weighted estimated by MRI for improving their differential diagnosis, histologic subtyping, and differentiation grade.
    Mytsyk Y; Dutka I; Borys Y; Komnatska I; Shatynska-Mytsyk I; Farooqi AA; Gazdikova K; Caprnda M; Rodrigo L; Kruzliak P
    Int Urol Nephrol; 2017 Feb; 49(2):215-224. PubMed ID: 27853915
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Diffusion-weighted magnetic resonance imaging for assessment of lung lesions: repeatability of the apparent diffusion coefficient measurement.
    Bernardin L; Douglas NH; Collins DJ; Giles SL; O'Flynn EA; Orton M; deSouza NM
    Eur Radiol; 2014 Feb; 24(2):502-11. PubMed ID: 24275802
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Intra- and interobserver variability of whole-tumour apparent diffusion coefficient measurements in nephroblastoma: a pilot study.
    Littooij AS; Humphries PD; Olsen ØE
    Pediatr Radiol; 2015 Oct; 45(11):1651-60. PubMed ID: 25951925
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Diffusion-weighted imaging (DWI) with apparent diffusion coefficient (ADC) mapping as a quantitative imaging biomarker for prediction of immunohistochemical receptor status, proliferation rate, and molecular subtypes of breast cancer.
    Horvat JV; Bernard-Davila B; Helbich TH; Zhang M; Morris EA; Thakur SB; Ochoa-Albiztegui RE; Leithner D; Marino MA; Baltzer PA; Clauser P; Kapetas P; Bago-Horvath Z; Pinker K
    J Magn Reson Imaging; 2019 Sep; 50(3):836-846. PubMed ID: 30811717
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Impact of post-processing methods on apparent diffusion coefficient values.
    Zeilinger MG; Lell M; Baltzer PA; Dörfler A; Uder M; Dietzel M
    Eur Radiol; 2017 Mar; 27(3):946-955. PubMed ID: 27251180
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Development of a diffusion-weighted MRI protocol for multicentre abdominal imaging and evaluation of the effects of fasting on measurement of apparent diffusion coefficients (ADCs) in healthy liver.
    Winfield JM; Papoutsaki MV; Ragheb H; Morris DM; Heerschap A; ter Voert EG; Kuijer JP; Pieters IC; Douglas NH; Orton M; de Souza NM;
    Br J Radiol; 2015 May; 88(1049):20140717. PubMed ID: 25790061
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Automated quantitative tumour response assessment of MRI in neuro-oncology with artificial neural networks: a multicentre, retrospective study.
    Kickingereder P; Isensee F; Tursunova I; Petersen J; Neuberger U; Bonekamp D; Brugnara G; Schell M; Kessler T; Foltyn M; Harting I; Sahm F; Prager M; Nowosielski M; Wick A; Nolden M; Radbruch A; Debus J; Schlemmer HP; Heiland S; Platten M; von Deimling A; van den Bent MJ; Gorlia T; Wick W; Bendszus M; Maier-Hein KH
    Lancet Oncol; 2019 May; 20(5):728-740. PubMed ID: 30952559
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Which organ should be considered a reference in diffusion weighted imaging of the abdomen?: The reproducibility of ADC measurements of the spleen and the renal cortex on a 1.5T MR.
    Pawluś A; Szymańska K; Łasecki M; Bladowska J; Sokołowska-Dąbek D; Szumarska-Czech M; Kaczorowski K; Markiewicz BD; Dudek K; Zaleska-Dorobisz U
    Adv Clin Exp Med; 2017 Aug; 26(5):811-816. PubMed ID: 29068577
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Variability in quantitative diffusion-weighted MR imaging (DWI) across different scanners and imaging sites: is there a potential consensus that can help reducing the limits of expected bias?
    Schmeel FC
    Eur Radiol; 2019 May; 29(5):2243-2245. PubMed ID: 30488105
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Diffusion-weighted magnetic resonance imaging of thymoma: ability of the Apparent Diffusion Coefficient in predicting the World Health Organization (WHO) classification and the Masaoka-Koga staging system and its prognostic significance on disease-free survival.
    Priola AM; Priola SM; Giraudo MT; Gned D; Fornari A; Ferrero B; Ducco L; Veltri A
    Eur Radiol; 2016 Jul; 26(7):2126-38. PubMed ID: 26427698
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Malignant renal neoplasms: correlation between ADC values and cellularity in diffusion weighted magnetic resonance imaging at 3 T.
    Manenti G; Di Roma M; Mancino S; Bartolucci DA; Palmieri G; Mastrangeli R; Miano R; Squillaci E; Simonetti G
    Radiol Med; 2008 Mar; 113(2):199-213. PubMed ID: 18386122
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Prediction of the histopathologic findings of intrahepatic cholangiocarcinoma: qualitative and quantitative assessment of diffusion-weighted imaging.
    Lewis S; Besa C; Wagner M; Jhaveri K; Kihira S; Zhu H; Sadoughi N; Fischer S; Srivastava A; Yee E; Mortele K; Babb J; Thung S; Taouli B
    Eur Radiol; 2018 May; 28(5):2047-2057. PubMed ID: 29234913
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Quantitative imaging biomarkers alliance (QIBA) recommendations for improved precision of DWI and DCE-MRI derived biomarkers in multicenter oncology trials.
    Shukla-Dave A; Obuchowski NA; Chenevert TL; Jambawalikar S; Schwartz LH; Malyarenko D; Huang W; Noworolski SM; Young RJ; Shiroishi MS; Kim H; Coolens C; Laue H; Chung C; Rosen M; Boss M; Jackson EF
    J Magn Reson Imaging; 2019 Jun; 49(7):e101-e121. PubMed ID: 30451345
    [TBL] [Abstract][Full Text] [Related]  

  • 34. UK quantitative WB-DWI technical workgroup: consensus meeting recommendations on optimisation, quality control, processing and analysis of quantitative whole-body diffusion-weighted imaging for cancer.
    Barnes A; Alonzi R; Blackledge M; Charles-Edwards G; Collins DJ; Cook G; Coutts G; Goh V; Graves M; Kelly C; Koh DM; McCallum H; Miquel ME; O'Connor J; Padhani A; Pearson R; Priest A; Rockall A; Stirling J; Taylor S; Tunariu N; van der Meulen J; Walls D; Winfield J; Punwani S
    Br J Radiol; 2018 Jan; 91(1081):20170577. PubMed ID: 29076749
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Conformance of a 3T radiotherapy MRI scanner to the QIBA Diffusion Profile.
    Carr ME; Keenan KE; Rai R; Boss MA; Metcalfe P; Walker A; Holloway L
    Med Phys; 2022 Jul; 49(7):4508-4517. PubMed ID: 35365884
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Diffusion-weighted MR of the brain: methodology and clinical application.
    Mascalchi M; Filippi M; Floris R; Fonda C; Gasparotti R; Villari N
    Radiol Med; 2005 Mar; 109(3):155-97. PubMed ID: 15775887
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Diagnostic performance of diffusion-weighted magnetic resonance imaging in bladder cancer: potential utility of apparent diffusion coefficient values as a biomarker to predict clinical aggressiveness.
    Kobayashi S; Koga F; Yoshida S; Masuda H; Ishii C; Tanaka H; Komai Y; Yokoyama M; Saito K; Fujii Y; Kawakami S; Kihara K
    Eur Radiol; 2011 Oct; 21(10):2178-86. PubMed ID: 21688007
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Diffusion-weighted imaging: Apparent diffusion coefficient histogram analysis for detecting pathologic complete response to chemoradiotherapy in locally advanced rectal cancer.
    Choi MH; Oh SN; Rha SE; Choi JI; Lee SH; Jang HS; Kim JG; Grimm R; Son Y
    J Magn Reson Imaging; 2016 Jul; 44(1):212-20. PubMed ID: 26666560
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Prospective evaluation of diffusion-weighted MRI of the bladder as a biomarker for prediction of bladder cancer aggressiveness.
    Sevcenco S; Ponhold L; Heinz-Peer G; Fajkovic H; Haitel A; Susani M; Shariat SF; Szarvas T; Baltzer PA
    Urol Oncol; 2014 Nov; 32(8):1166-71. PubMed ID: 24962659
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Imaging for Response Assessment in Cancer Clinical Trials.
    Sorace AG; Elkassem AA; Galgano SJ; Lapi SE; Larimer BM; Partridge SC; Quarles CC; Reeves K; Napier TS; Song PN; Yankeelov TE; Woodard S; Smith AD
    Semin Nucl Med; 2020 Nov; 50(6):488-504. PubMed ID: 33059819
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 13.