These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

182 related articles for article (PubMed ID: 21036632)

  • 1. CT tumor volume measurement in advanced non-small-cell lung cancer: Performance characteristics of an emerging clinical tool.
    Nishino M; Guo M; Jackman DM; DiPiro PJ; Yap JT; Ho TK; Hatabu H; Jänne PA; Van den Abbeele AD; Johnson BE
    Acad Radiol; 2011 Jan; 18(1):54-62. PubMed ID: 21036632
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Revisiting the relationship between tumour volume and diameter in advanced NSCLC patients: An exercise to maximize the utility of each measure to assess response to therapy.
    Nishino M; Jackman DM; DiPiro PJ; Hatabu H; Jänne PA; Johnson BE
    Clin Radiol; 2014 Aug; 69(8):841-8. PubMed ID: 24857677
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Thymic measurements in pathologically proven normal thymus and thymic hyperplasia: intraobserver and interobserver variabilities.
    Araki T; Sholl LM; Gerbaudo VH; Hatabu H; Nishino M
    Acad Radiol; 2014 Jun; 21(6):733-42. PubMed ID: 24809315
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Evaluating variability in tumor measurements from same-day repeat CT scans of patients with non-small cell lung cancer.
    Zhao B; James LP; Moskowitz CS; Guo P; Ginsberg MS; Lefkowitz RA; Qin Y; Riely GJ; Kris MG; Schwartz LH
    Radiology; 2009 Jul; 252(1):263-72. PubMed ID: 19561260
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Cone-beam CT-based delineation of stereotactic lung targets: the influence of image modality and target size on interobserver variability.
    Altorjai G; Fotina I; Lütgendorf-Caucig C; Stock M; Pötter R; Georg D; Dieckmann K
    Int J Radiat Oncol Biol Phys; 2012 Feb; 82(2):e265-72. PubMed ID: 21620581
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Assessment of lung cancer response after nonoperative therapy: tumor diameter, bidimensional product, and volume. A serial CT scan-based study.
    Werner-Wasik M; Xiao Y; Pequignot E; Curran WJ; Hauck W
    Int J Radiat Oncol Biol Phys; 2001 Sep; 51(1):56-61. PubMed ID: 11516851
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Area--a consistent method to evaluate pulmonary tumor size on multidetector CT imaging: an intraobserver and interobserver agreement study.
    Huang L; Wang L; Zhu W; Han R; Tang H; Cao Z; Zhou J; Hu D; Wang C; Xia L
    Clin Imaging; 2013; 37(6):1006-10. PubMed ID: 23993800
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Intraobserver and interobserver variability in computed tomography size and attenuation measurements in patients with renal cell carcinoma receiving antiangiogenic therapy: implications for alternative response criteria.
    Krajewski KM; Nishino M; Franchetti Y; Ramaiya NH; Van den Abbeele AD; Choueiri TK
    Cancer; 2014 Mar; 120(5):711-21. PubMed ID: 24264883
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Inter-scan and inter-observer tumour volume delineation variability on cone beam computed tomography in patients treated with stereotactic body radiation therapy for early-stage non-small cell lung cancer.
    Hou Y; Lee S; Agrawal V; Romano J; Baldini EH; Chen AB; Kozono DE; Killoran JH; Wagar M; Hacker FL; Aerts HJ; Lewis JH; Mak RH
    J Med Imaging Radiat Oncol; 2017 Feb; 61(1):93-98. PubMed ID: 27709803
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Hepatic tumors: region-of-interest versus volumetric analysis for quantification of attenuation at CT.
    Chalian H; Tochetto SM; Töre HG; Rezai P; Yaghmai V
    Radiology; 2012 Mar; 262(3):853-61. PubMed ID: 22357887
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Linear and volume measurements of pulmonary nodules at different CT dose levels - intrascan and interscan analysis.
    Hein PA; Romano VC; Rogalla P; Klessen C; Lembcke A; Dicken V; Bornemann L; Bauknecht HC
    Rofo; 2009 Jan; 181(1):24-31. PubMed ID: 19085687
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Doubling time calculations for lung cancer by three-dimensional computer-aided volumetry: effects of inter-observer differences and nodule characteristics.
    Koike W; Iwano S; Matsuo K; Kitano M; Kawakami K; Naganawa S
    J Med Imaging Radiat Oncol; 2014 Feb; 58(1):82-8. PubMed ID: 24304703
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Intraobserver and interobserver agreement of volume perfusion CT (VPCT) measurements in patients with lung lesions.
    Sauter AW; Merkle A; Schulze M; Spira D; Hetzel J; Claussen CD; Horger MS
    Eur J Radiol; 2012 Oct; 81(10):2853-9. PubMed ID: 21794997
    [TBL] [Abstract][Full Text] [Related]  

  • 14. First-pass perfusion of non-small-cell lung cancer (NSCLC) with 64-detector-row CT: a study of technique repeatability and intra- and interobserver variability.
    Larici AR; Calandriello L; Amato M; Silvestri R; del Ciello A; Molinari F; de Waure C; Vita ML; Carnassale G; Bonomo L
    Radiol Med; 2014 Jan; 119(1):4-12. PubMed ID: 24272480
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Exploring technical issues in personalized medicine: NSCLC survival prediction by quantitative image analysis-usefulness of density correction of volumetric CT data.
    Farchione A; Larici AR; Masciocchi C; Cicchetti G; Congedo MT; Franchi P; Gatta R; Lo Cicero S; Valentini V; Bonomo L; Manfredi R
    Radiol Med; 2020 Jul; 125(7):625-635. PubMed ID: 32125637
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Automated image analysis tool for tumor volume growth rate to guide precision cancer therapy: EGFR-mutant non-small-cell lung cancer as a paradigm.
    Nishino M; Wakai S; Hida T; Dahlberg SE; Ozaki M; Hatabu H; Tachizaki H; Johnson BE
    Eur J Radiol; 2018 Dec; 109():68-76. PubMed ID: 30527314
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Semiautomatic Analysis on Computed Tomography in Locally Advanced or Metastatic Non-Small Cell Lung Cancer: Reproducibility and Prognostic Significance of Unidimensional and 3-dimensional Measurements.
    Colombi D; Manna C; Montermini I; Seletti V; Diciotti S; Tiseo M; Fontana E; De Filippo M; Silva M; Sverzellati N
    J Thorac Imaging; 2015 Sep; 30(5):290-9. PubMed ID: 25837590
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Size Measurement and T-staging of Lung Adenocarcinomas Manifesting as Solid Nodules ≤30 mm on CT: Radiology-Pathology Correlation.
    Heidinger BH; Anderson KR; Moriarty EM; Costa DB; Gangadharan SP; VanderLaan PA; Bankier AA
    Acad Radiol; 2017 Jul; 24(7):851-859. PubMed ID: 28256438
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Interobserver and intraobserver variability in measurement of non-small-cell carcinoma lung lesions: implications for assessment of tumor response.
    Erasmus JJ; Gladish GW; Broemeling L; Sabloff BS; Truong MT; Herbst RS; Munden RF
    J Clin Oncol; 2003 Jul; 21(13):2574-82. PubMed ID: 12829678
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Measurements of tumor size using CT and PET compared to histopathological size in non-small cell lung cancer.
    Aydin F; Dertsiz L; Budak ES; Yildiz A; Ozbilim G; Gungor F
    Diagn Interv Radiol; 2013; 19(4):271-8. PubMed ID: 23302288
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.