The diaphragm as an anatomic surrogate for lung tumor motion

Lung tumor motion due to respiration poses a challenge in the application of modern three-dimensional conformal radiotherapy. Direct tracking of the lung tumor during radiation therapy is very difficult without implanted fiducial markers. Indirect tracking relies on the correlation of the tumor's motion and the surrogate's motion. The present paper presents an analysis of the correlation between tumor motion and diaphragm motion in order to evaluate the potential use of diaphragm as a surrogate for tumor motion. We have analyzed the correlation between diaphragm motion and superior-inferior lung tumor motion in 32 fluoroscopic image sequences from ten lung cancer patients. A simple linear model and a more complex linear model that accounts for phase delays between the two motions have been used. Results show that the diaphragm is a good surrogate for tumor motion prediction for most patients, resulting in an average correlation factor of 0.94 and 0.98 with each model respectively. The model that accounts for delays leads to an average localization prediction error of 0.8 mm and an error at the 95% confidence level of 2.1 mm. However, for one patient studied, the correlation is much weaker compared to other patients. This indicates that, before using diaphragm for lung tumor prediction, the correlation should be examined on a patient-by-patient basis.

[1]  Anil K. Jain,et al.  Statistical Pattern Recognition: A Review , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  Steve B. Jiang,et al.  Fluoroscopic tracking of multiple implanted fiducial markers using multiple object tracking , 2007, Physics in medicine and biology.

[3]  Steve B. Jiang Radiotherapy of mobile tumors. , 2006, Seminars in radiation oncology.

[4]  Steve B. Jiang,et al.  Towards fluoroscopic respiratory gating for lung tumours without radiopaque markers , 2005, Physics in medicine and biology.

[5]  J. Ciezki,et al.  Fluoroscopic study of tumor motion due to breathing: facilitating precise radiation therapy for lung cancer patients. , 2001, Medical physics.

[6]  Steve B. Jiang,et al.  Residual motion of lung tumors in end-of-inhale respiratory gated radiotherapy based on external surrogates. , 2006, Medical physics.

[7]  Gregory C Sharp,et al.  Tracking errors in a prototype real-time tumour tracking system. , 2004, Physics in medicine and biology.

[8]  Steve B. Jiang,et al.  Technical aspects of image-guided respiration-gated radiation therapy. , 2006, Medical dosimetry : official journal of the American Association of Medical Dosimetrists.

[9]  S. Senan,et al.  Analysis of carina position as surrogate marker for delivering phase-gated radiotherapy. , 2008, International journal of radiation oncology, biology, physics.

[10]  R. K. Münch,et al.  A novel tracking technique for the continuous precise measurement of tumour positions in conformal radiotherapy. , 2000, Physics in medicine and biology.

[11]  Steve B. Jiang,et al.  Gating based on internal/external signals with dynamic correlation updates , 2008, Physics in medicine and biology.

[12]  Jean-Philippe Pignol,et al.  Prediction of lung tumour position based on spirometry and on abdominal displacement: accuracy and reproducibility. , 2006, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[13]  Josef Kittler,et al.  Floating search methods in feature selection , 1994, Pattern Recognit. Lett..

[14]  George Starkschall,et al.  Assessment of lung tumor motion and setup uncertainties using implanted fiducials. , 2007, International journal of radiation oncology, biology, physics.

[15]  Jean-Philippe Pignol,et al.  Correlation of lung tumor motion with external surrogate indicators of respiration. , 2004, International journal of radiation oncology, biology, physics.

[16]  Steve B. Jiang,et al.  A deformable lung tumor tracking method in fluoroscopic video using active shape models: a feasibility study , 2007, Physics in medicine and biology.

[17]  R. Mohan,et al.  Motion adaptive x-ray therapy: a feasibility study , 2001, Physics in medicine and biology.

[18]  Steve B. Jiang,et al.  Multiple template-based fluoroscopic tracking of lung tumor mass without implanted fiducial markers , 2007, Physics in medicine and biology.

[19]  Qinghui Zhang,et al.  A patient-specific respiratory model of anatomical motion for radiation treatment planning. , 2007, Medical physics.

[20]  R. Mohan,et al.  Quantifying the predictability of diaphragm motion during respiration with a noninvasive external marker. , 2003, Medical physics.

[21]  Steve B. Jiang,et al.  Fluoroscopic tumor tracking for image-guided lung cancer radiotherapy , 2009, Physics in medicine and biology.

[22]  Steve B. Jiang,et al.  The management of respiratory motion in radiation oncology report of AAPM Task Group 76. , 2006, Medical physics.

[23]  Steve B. Jiang,et al.  The management of respiratory motion in radiation oncology report of AAPM Task Group 76. , 2006, Medical physics.

[24]  Y. Tsunashima,et al.  Correlation between the respiratory waveform measured using a respiratory sensor and 3D tumor motion in gated radiotherapy. , 2004, International journal of radiation oncology, biology, physics.

[25]  Daniel Y Sze,et al.  CT-guided transthoracic needle aspiration biopsy of pulmonary nodules: needle size and pneumothorax rate. , 2003, Radiology.

[26]  S. Arslan,et al.  CT- guided transthoracic fine needle aspiration of pulmonary lesions: accuracy and complications in 294 patients. , 2002, Medical science monitor : international medical journal of experimental and clinical research.

[27]  Thomas Guerrero,et al.  Comparison of outcomes for patients with medically inoperable Stage I non-small-cell lung cancer treated with two-dimensional vs. three-dimensional radiotherapy. , 2005, International journal of radiation oncology, biology, physics.

[28]  John Wong,et al.  Accuracy of a wireless localization system for radiotherapy. , 2005, International journal of radiation oncology, biology, physics.

[29]  Steve B. Jiang,et al.  Lung tumor tracking in fluoroscopic video based on optical flow. , 2008, Medical physics.

[30]  H Shirato,et al.  Inference of hysteretic respiratory tumor motion from external surrogates: a state augmentation approach , 2008, Physics in medicine and biology.

[31]  Steve B. Jiang,et al.  Residual motion of lung tumours in gated radiotherapy with external respiratory surrogates , 2005, Physics in medicine and biology.

[32]  E. Bruce,et al.  Temporal variations in the pattern of breathing. , 1996, Journal of applied physiology.

[33]  J. Aslam,et al.  Derivation of the tumor position from external respiratory surrogates with periodical updating of the internal/external correlation , 2007, Physics in medicine and biology.