BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

197 related articles for article (PubMed ID: 21858528)

  • 1. Impact of [¹⁸F]FDG PET imaging parameters on automatic tumour delineation: need for improved tumour delineation methodology.
    Cheebsumon P; Yaqub M; van Velden FH; Hoekstra OS; Lammertsma AA; Boellaard R
    Eur J Nucl Med Mol Imaging; 2011 Dec; 38(12):2136-44. PubMed ID: 21858528
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A gel tumour phantom for assessment of the accuracy of manual and automatic delineation of gross tumour volume from FDG-PET/CT.
    Skretting A; Evensen JF; Løndalen AM; Bogsrud TV; Glomset OK; Eilertsen K
    Acta Oncol; 2013 Apr; 52(3):636-44. PubMed ID: 23075421
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Phantom validation of coregistration of PET and CT for image-guided radiotherapy.
    Lavely WC; Scarfone C; Cevikalp H; Li R; Byrne DW; Cmelak AJ; Dawant B; Price RR; Hallahan DE; Fitzpatrick JM
    Med Phys; 2004 May; 31(5):1083-92. PubMed ID: 15191296
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Development of a generic thresholding algorithm for the delineation of 18FDG-PET-positive tissue: application to the comparison of three thresholding models.
    Vauclin S; Doyeux K; Hapdey S; Edet-Sanson A; Vera P; Gardin I
    Phys Med Biol; 2009 Nov; 54(22):6901-16. PubMed ID: 19864698
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Combining multiple FDG-PET radiotherapy target segmentation methods to reduce the effect of variable performance of individual segmentation methods.
    McGurk RJ; Bowsher J; Lee JA; Das SK
    Med Phys; 2013 Apr; 40(4):042501. PubMed ID: 23556917
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Threshold segmentation for PET target volume delineation in radiation treatment planning: the role of target-to-background ratio and target size.
    Brambilla M; Matheoud R; Secco C; Loi G; Krengli M; Inglese E
    Med Phys; 2008 Apr; 35(4):1207-13. PubMed ID: 18491512
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Semiautomatic volume of interest drawing for (18)F-FDG image analysis-method and preliminary results.
    Green AJ; Francis RJ; Baig S; Begent RH
    Eur J Nucl Med Mol Imaging; 2008 Feb; 35(2):393-406. PubMed ID: 17909793
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A Dirichlet process mixture model for automatic (18)F-FDG PET image segmentation: Validation study on phantoms and on lung and esophageal lesions.
    Giri MG; Cavedon C; Mazzarotto R; Ferdeghini M
    Med Phys; 2016 May; 43(5):2491. PubMed ID: 27147360
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A segmentation framework towards automatic generation of boost subvolumes for FDG-PET tumors: a digital phantom study.
    Yang F; Grigsby PW
    Eur J Radiol; 2012 Dec; 81(12):4123-30. PubMed ID: 22840849
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Repeatability of
    Pfaehler E; Beukinga RJ; de Jong JR; Slart RHJA; Slump CH; Dierckx RAJO; Boellaard R
    Med Phys; 2019 Feb; 46(2):665-678. PubMed ID: 30506687
    [TBL] [Abstract][Full Text] [Related]  

  • 11. An algorithm for PET tumor volume and activity quantification: without specifying camera's point spread function (PSF).
    Bhatt R; Adjouadi M; Goryawala M; Gulec SA; McGoron AJ
    Med Phys; 2012 Jul; 39(7):4187-202. PubMed ID: 22830752
    [TBL] [Abstract][Full Text] [Related]  

  • 12. FDG-PET-based differential uptake volume histograms: a possible approach towards definition of biological target volumes.
    Devic S; Mohammed H; Tomic N; Aldelaijan S; De Blois F; Seuntjens J; Lehnert S; Faria S
    Br J Radiol; 2016 Jun; 89(1062):20150388. PubMed ID: 27007269
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Tumor delineation using PET in head and neck cancers: threshold contouring and lesion volumes.
    Ford EC; Kinahan PE; Hanlon L; Alessio A; Rajendran J; Schwartz DL; Phillips M
    Med Phys; 2006 Nov; 33(11):4280-8. PubMed ID: 17153406
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Improvement of the diagnostic accuracy of lymph node metastases of colorectal cancer in 18F-FDG-PET/CT by optimizing the iteration number for the image reconstruction.
    Inoue K; Sato T; Kitamura H; Ito M; Tsunoda Y; Hirayama A; Kurosawa H; Tanaka T; Fukushi M; Moriyama N; Fujii H
    Ann Nucl Med; 2008 Jul; 22(6):465-73. PubMed ID: 18670852
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Influence of PET reconstruction parameters on the TrueX algorithm. A combined phantom and patient study.
    Knäusl B; Rausch IF; Bergmann H; Dudczak R; Hirtl A; Georg D
    Nuklearmedizin; 2013; 52(1):28-35. PubMed ID: 23348719
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A region growing method for tumor volume segmentation on PET images for rectal and anal cancer patients.
    Day E; Betler J; Parda D; Reitz B; Kirichenko A; Mohammadi S; Miften M
    Med Phys; 2009 Oct; 36(10):4349-58. PubMed ID: 19928065
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Iterative threshold segmentation for PET target volume delineation.
    Drever L; Roa W; McEwan A; Robinson D
    Med Phys; 2007 Apr; 34(4):1253-65. PubMed ID: 17500457
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Usefulness of noise adaptive non-linear gaussian filter in FDG-PET study.
    Nagayoshi M; Murase K; Fujino K; Uenishi Y; Kawamata M; Nakamura Y; Kitamura K; Higuchi I; Oku N; Hatazawa J
    Ann Nucl Med; 2005 Sep; 19(6):469-77. PubMed ID: 16248383
    [TBL] [Abstract][Full Text] [Related]  

  • 19. An iterative technique to segment PET lesions using a Monte Carlo based mathematical model.
    Nehmeh SA; El-Zeftawy H; Greco C; Schwartz J; Erdi YE; Kirov A; Schmidtlein CR; Gyau AB; Larson SM; Humm JL
    Med Phys; 2009 Oct; 36(10):4803-9. PubMed ID: 19928110
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Assessment of tumour response with (18)F-fluorodeoxyglucose positron emission tomography using three-dimensional measures compared to SUVmax--a phantom study.
    Boucek JA; Francis RJ; Jones CG; Khan N; Turlach BA; Green AJ
    Phys Med Biol; 2008 Aug; 53(16):4213-30. PubMed ID: 18653927
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.