Quantification of motion of different thoracic locations using four-dimensional computed tomography: implications for radiotherapy planning.

PURPOSE To assess the respiratory motion of different thoracic nodal locations and its dependence on the presence of enlarged nodes; to assess the respiratory motion of different parenchymal tumor locations; and to determine the appropriate margins to cover the respiratory motion of targets at these locations. METHODS AND MATERIALS We reviewed the four-dimensional computed tomography scans of 20 patients with thoracic tumors treated at our institution. The motion of four central thoracic locations (aortic arch, carina, and bilateral hila), parenchymal tumor locations (upper vs. lower, and anterior vs. middle vs. posterior thorax), and bilateral diaphragmatic domes was measured. RESULTS For the central thoracic locations, the largest motion was in the superoinferior (SI) dimension (>5 mm for bilateral hila and carina, but <4 mm for aortic arch). No significant difference was found in the motion of these locations in the absence or presence of enlarged nodes. For parenchymal tumors, upper tumors exhibited smaller SI motion than did lower tumors (3.7 vs. 10.4 mm, p = 0.029). Similarly, anterior tumors exhibited smaller motion than did posterior tumors in both the SI (4.0 vs. 8.0 mm, p = 0.013) and lateral (2.8 vs. 4.6 mm, p = 0.045) directions. The margins that would be needed to encompass the respiratory motion of each of the evaluated locations in 95% of patients were tabulated and range from 3.4 to 37.2 mm, depending on the location and direction. CONCLUSIONS The results of our study have provided data for appropriate site-specific internal target volume expansion that could be useful in the absence of four-dimensional computed tomography-based treatment planning. However, generalizing the results from a small patient population requires discretion.

[1]  H. Mostafavi,et al.  Breathing-synchronized radiotherapy program at the University of California Davis Cancer Center. , 2000, Medical physics.

[2]  C. Ling,et al.  Results of a phase I dose‐escalation study using three‐dimensional conformal radiotherapy in the treatment of inoperable nonsmall cell lung carcinoma , 2005, Cancer.

[3]  P. Keall 4-dimensional computed tomography imaging and treatment planning. , 2004, Seminars in radiation oncology.

[4]  George Starkschall,et al.  Assessing respiration-induced tumor motion and internal target volume using four-dimensional computed tomography for radiotherapy of lung cancer. , 2007, International journal of radiation oncology, biology, physics.

[5]  Jun Duan,et al.  Validation of target volume and position in respiratory gated CT planning and treatment. , 2003, Medical physics.

[6]  Suresh Senan,et al.  Tumor location cannot predict the mobility of lung tumors: a 3D analysis of data generated from multiple CT scans. , 2003, International journal of radiation oncology, biology, physics.

[7]  A. Jemal,et al.  Cancer Statistics, 2007 , 2007, CA: a cancer journal for clinicians.

[8]  C. Ling,et al.  Respiration-correlated spiral CT: a method of measuring respiratory-induced anatomic motion for radiation treatment planning. , 2002, Medical physics.

[9]  S Senan,et al.  Multiple "slow" CT scans for incorporating lung tumor mobility in radiotherapy planning. , 2001, International journal of radiation oncology, biology, physics.

[10]  Suresh Senan,et al.  Four-dimensional CT scans for treatment planning in stereotactic radiotherapy for stage I lung cancer. , 2004, International journal of radiation oncology, biology, physics.

[11]  K. Langen,et al.  Organ motion and its management. , 2001, International journal of radiation oncology, biology, physics.

[12]  H Shirato,et al.  Impact of respiratory movement on the computed tomographic images of small lung tumors in three-dimensional (3D) radiotherapy. , 2000, International journal of radiation oncology, biology, physics.

[13]  Paul J Keall,et al.  Tumor and normal tissue motion in the thorax during respiration: Analysis of volumetric and positional variations using 4D CT. , 2007, International journal of radiation oncology, biology, physics.

[14]  K. Lam,et al.  Uncertainties in CT-based radiation therapy treatment planning associated with patient breathing. , 1996, International journal of radiation oncology, biology, physics.

[15]  W. Stanford,et al.  Analysis of movement of intrathoracic neoplasms using ultrafast computerized tomography. , 1990, International journal of radiation oncology, biology, physics.

[16]  G Starkschall,et al.  Respiratory-driven lung tumor motion is independent of tumor size, tumor location, and pulmonary function. , 2001, International journal of radiation oncology, biology, physics.

[17]  M. V. van Herk,et al.  Precise and real-time measurement of 3D tumor motion in lung due to breathing and heartbeat, measured during radiotherapy. , 2002, International journal of radiation oncology, biology, physics.

[18]  George T. Y. Chen,et al.  Artifacts in computed tomography scanning of moving objects. , 2004, Seminars in radiation oncology.

[19]  J. Battermann,et al.  The influence of respiration induced motion of the kidneys on the accuracy of radiotherapy treatment planning, a magnetic resonance imaging study. , 1994, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[20]  T. Pan,et al.  4D-CT imaging of a volume influenced by respiratory motion on multi-slice CT. , 2004, Medical physics.

[21]  B W Corn,et al.  Respiration-induced motion of the kidneys in whole abdominal radiotherapy: implications for treatment planning and late toxicity. , 1997, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[22]  Martin J Murphy,et al.  Fiducial-based targeting accuracy for external-beam radiotherapy. , 2002, Medical physics.

[23]  G. Christensen,et al.  A method for the reconstruction of four-dimensional synchronized CT scans acquired during free breathing. , 2003, Medical physics.