Connection

SASTRY VEDAM to Lung Neoplasms

This is a "connection" page, showing publications SASTRY VEDAM has written about Lung Neoplasms.
Connection Strength

0.311
  1. Quantifying the predictability of diaphragm motion during respiration with a noninvasive external marker. Med Phys. 2003 Apr; 30(4):505-13.
    View in: PubMed
    Score: 0.044
  2. Long-term clinical outcome of intensity-modulated radiotherapy for inoperable non-small cell lung cancer: the MD Anderson experience. Int J Radiat Oncol Biol Phys. 2012 May 01; 83(1):332-9.
    View in: PubMed
    Score: 0.020
  3. Implementation of feedback-guided voluntary breath-hold gating for cone beam CT-based stereotactic body radiotherapy. Int J Radiat Oncol Biol Phys. 2011 Jul 01; 80(3):909-17.
    View in: PubMed
    Score: 0.019
  4. Exploring the feasibility of dose escalation positron emission tomography-positive disease with intensity-modulated radiation therapy and the effects on normal tissue structures for thoracic malignancies. Med Dosim. 2011; 36(4):383-8.
    View in: PubMed
    Score: 0.019
  5. Evaluation of tumor position and PTV margins using image guidance and respiratory gating. Int J Radiat Oncol Biol Phys. 2010 Apr; 76(5):1578-85.
    View in: PubMed
    Score: 0.018
  6. Determination of patient-specific internal gross tumor volumes for lung cancer using four-dimensional computed tomography. Radiat Oncol. 2009 Jan 27; 4:4.
    View in: PubMed
    Score: 0.016
  7. A technique for reducing patient setup uncertainties by aligning and verifying daily positioning of a moving tumor using implanted fiducials. J Appl Clin Med Phys. 2008 Oct 30; 9(4):110-122.
    View in: PubMed
    Score: 0.016
  8. Cine computed tomography without respiratory surrogate in planning stereotactic radiotherapy for non-small-cell lung cancer. Int J Radiat Oncol Biol Phys. 2009 Feb 01; 73(2):433-41.
    View in: PubMed
    Score: 0.016
  9. Comparison of rigid and adaptive methods of propagating gross tumor volume through respiratory phases of four-dimensional computed tomography image data set. Int J Radiat Oncol Biol Phys. 2008 May 01; 71(1):290-6.
    View in: PubMed
    Score: 0.016
  10. Geometric accuracy of a real-time target tracking system with dynamic multileaf collimator tracking system. Int J Radiat Oncol Biol Phys. 2006 Aug 01; 65(5):1579-84.
    View in: PubMed
    Score: 0.014
  11. Audio-visual biofeedback for respiratory-gated radiotherapy: impact of audio instruction and audio-visual biofeedback on respiratory-gated radiotherapy. Int J Radiat Oncol Biol Phys. 2006 Jul 01; 65(3):924-33.
    View in: PubMed
    Score: 0.014
  12. The clinical implementation of respiratory-gated intensity-modulated radiotherapy. Med Dosim. 2006; 31(2):152-62.
    View in: PubMed
    Score: 0.013
  13. The application of the sinusoidal model to lung cancer patient respiratory motion. Med Phys. 2005 Sep; 32(9):2850-61.
    View in: PubMed
    Score: 0.013
  14. Dosimetric impact of geometric errors due to respiratory motion prediction on dynamic multileaf collimator-based four-dimensional radiation delivery. Med Phys. 2005 Jun; 32(6):1607-20.
    View in: PubMed
    Score: 0.013
  15. Four-dimensional radiotherapy planning for DMLC-based respiratory motion tracking. Med Phys. 2005 Apr; 32(4):942-51.
    View in: PubMed
    Score: 0.013
  16. Is the diaphragm motion probability density function normally distributed? Med Phys. 2005 Feb; 32(2):396-404.
    View in: PubMed
    Score: 0.012
  17. On the use of EPID-based implanted marker tracking for 4D radiotherapy. Med Phys. 2004 Dec; 31(12):3492-9.
    View in: PubMed
    Score: 0.012
  18. Acquiring a four-dimensional computed tomography dataset using an external respiratory signal. Phys Med Biol. 2003 Jan 07; 48(1):45-62.
    View in: PubMed
    Score: 0.011
  19. Potential radiotherapy improvements with respiratory gating. Australas Phys Eng Sci Med. 2002 Mar; 25(1):1-6.
    View in: PubMed
    Score: 0.010
  20. Acquiring 4D thoracic CT scans using a multislice helical method. Phys Med Biol. 2004 May 21; 49(10):2053-67.
    View in: PubMed
    Score: 0.003
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.