Quantification of volumetric and geometric changes occurring during fractionated radiotherapy for head-and-neck cancer using an integrated CT/linear accelerator system.

PURPOSE Many patients receiving fractionated radiotherapy (RT) for head-and-neck cancer have marked anatomic changes during their course of treatment, including shrinking of the primary tumor or nodal masses, resolving postoperative changes/edema, and changes in overall body habitus/weight loss. We conducted a pilot study to quantify the magnitude of these anatomic changes with systematic CT imaging. METHODS AND MATERIALS Fourteen assessable patients were enrolled in this pilot study. Eligible patients had to have a pathologic diagnosis of head-and-neck cancer, be treated with definitive external beam RT, and had have gross primary and/or cervical nodal disease measuring at least 4 cm in maximal diameter. All patients were treated using a new commercial integrated CT-linear accelerator system (EXaCT) that allows CT imaging at the daily RT sessions while the patient remains immobilized in the treatment position. CT scans were acquired three times weekly during the entire course of RT, and both gross tumor volumes (GTVs: primary tumor and involved lymph nodes) and normal tissues (parotid glands, spinal canal, mandible, and external contour) were manually contoured on every axial slice. Volumetric and positional changes relative to a central bony reference (the center of mass of the C2 vertebral body) were determined for each structure. RESULTS Gross tumor volumes decreased throughout the course of fractionated RT, at a median rate of 0.2 cm(3) per treatment day (range, 0.01-1.95 cm(3)/d). In terms of the percentage of the initial volume, the GTVs decreased at a median rate of 1.8%/treatment day (range, 0.2-3.1%/d). On the last day of treatment, this corresponded to a median total relative loss of 69.5% of the initial GTV (range, 9.9-91.9%). In addition, the center of the mass of shrinking tumors changed position with time, indicating that GTV loss was frequently asymmetric. At treatment completion, the median center of the mass displacement (after corrections for daily setup variation) was 3.3 mm (range, 0-17.3 mm). Parotid glands also decreased in volume (median, 0.19 cm(3)/d range, 0.04-0.84 cm(3)/d), and generally shifted medially (median, 3.1 mm; range, 0-9.9 mm) with time. This medial displacement of the parotid glands correlated highly with the weight loss that occurred during treatment. CONCLUSION Measurable anatomic changes occurred throughout fractionated external beam RT for head-and-neck cancers. These changes in the external contour, shape, and location of the target and critical structures appeared to be significant during the second half of treatment (after 3-4 weeks of treatment) and could have potential dosimetric impact when highly conformal treatment techniques are used. These data may, therefore, be useful in the development of an adaptive RT scheme (periodic adjustment of the conformal treatment plan) that takes into account such treatment-related anatomic changes. In theory, such a strategy would maximize the therapeutic ratio of RT.

[1]  M van Herk,et al.  The potential impact of CT-MRI matching on tumor volume delineation in advanced head and neck cancer. , 1997, International journal of radiation oncology, biology, physics.

[2]  Hiroshi Onishi,et al.  A new irradiation unit constructed of self-moving gantry-CT and linac. , 2003, International journal of radiation oncology, biology, physics.

[3]  Daniel A Low,et al.  Patterns of failure in patients receiving definitive and postoperative IMRT for head-and-neck cancer. , 2003, International journal of radiation oncology, biology, physics.

[4]  James A. Purdy,et al.  3-D Conformal Radiotherapy for Lung Cancer , 1996 .

[5]  G H Fletcher,et al.  The significance of residual disease after external irradiation of squamous-cell carcinoma of the oropharynx. , 1977, Radiology.

[6]  Bernard Dubray,et al.  Conformal radiotherapy for lung cancer: different delineation of the gross tumor volume (GTV) by radiologists and radiation oncologists. , 2002, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[7]  E Bellon,et al.  Interobserver variations in gross tumor volume delineation of brain tumors on computed tomography and impact of magnetic resonance imaging. , 2001, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[8]  S. Tong,et al.  Intra- and inter-observer variability and reliability of prostate volume measurement via two-dimensional and three-dimensional ultrasound imaging. , 1998, Ultrasound in medicine & biology.

[9]  D A Jaffray,et al.  A radiographic and tomographic imaging system integrated into a medical linear accelerator for localization of bone and soft-tissue targets. , 1999, International journal of radiation oncology, biology, physics.

[10]  L. Stitt,et al.  Variability of target volume delineation in cervical esophageal cancer. , 1998, International journal of radiation oncology, biology, physics.

[11]  K Okajima,et al.  Differences in target outline delineation from CT scans of brain tumours using different methods and different observers. , 1999, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[12]  R K Ten Haken,et al.  Partial irradiation of the parotid gland. , 2001, Seminars in Radiation Oncology.

[13]  M K Martel,et al.  Patterns of local-regional recurrence following parotid-sparing conformal and segmental intensity-modulated radiotherapy for head and neck cancer. , 2000, International journal of radiation oncology, biology, physics.

[14]  Claudio Fiorino,et al.  Rectum contouring variability in patients treated for prostate cancer: impact on rectum dose-volume histograms and normal tissue complication probability. , 2002, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[15]  Arjan Bel,et al.  Definition of gross tumor volume in lung cancer: inter-observer variability. , 2002, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[16]  P C Levendag,et al.  A three-dimensional CT-based target definition for elective irradiation of the neck. , 1999, International journal of radiation oncology, biology, physics.

[17]  J. Fowler,et al.  Image guidance for precise conformal radiotherapy. , 2003, International journal of radiation oncology, biology, physics.

[18]  S Senan,et al.  A simplified CT-based definition of the lymph node levels in the node negative neck. , 1999, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[19]  P. Rubin,et al.  Tumor persistence as a predictor of outcome after radiation therapy of head and neck cancers. , 1976, International journal of radiation oncology, biology, physics.

[20]  C. Fiorino,et al.  Intra- and inter-observer variability in contouring prostate and seminal vesicles: implications for conformal treatment planning. , 1998, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[21]  R K Ten Haken,et al.  Dose, volume, and function relationships in parotid salivary glands following conformal and intensity-modulated irradiation of head and neck cancer. , 1999, International journal of radiation oncology, biology, physics.

[22]  Trott Kr Human tumour radiobiology: clinical data. , 1983 .

[23]  Radhe Mohan,et al.  Evaluation of mechanical precision and alignment uncertainties for an integrated CT/LINAC system. , 2003, Medical physics.

[24]  L. F. Cazzaniga,et al.  Interphysician variability in defining the planning target volume in the irradiation of prostate and seminal vesicles. , 1998, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[25]  Marcel van Herk,et al.  Margins for geometric uncertainty around organs at risk in radiotherapy. , 2002, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[26]  S. Zhou,et al.  Differences in gross target volumes on contrast vs. noncontrast CT scans utilized for conformal radiation therapy treatment planning for prostate carcinoma. , 1998, International journal of radiation oncology, biology, physics.

[27]  N. Lee,et al.  Intensity-Modulated Radiation Therapy in Head and Neck Cancers: Dosimetric Advantages and Update of Clinical Results , 2005, American journal of clinical oncology.

[28]  Dan Ash,et al.  Impact of prostate volume evaluation by different observers on CT-based post-implant dosimetry. , 2002, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[29]  A. Walker,et al.  Assessment of the response of tumours to radiation: clinical and experimental studies. , 1980, The British journal of cancer. Supplement.

[30]  D A Low,et al.  Intensity‐modulated radiation therapy in head and neck cancers: The Mallinckrodt experience , 2000, International journal of cancer.