Comparison of simple and complex liver intensity modulated radiotherapy

BackgroundIntensity-modulated radiotherapy (IMRT) may allow improvement in plan quality for treatment of liver cancer, however increasing radiation modulation complexity can lead to increased uncertainties and requirements for quality assurance. This study assesses whether target coverage and normal tissue avoidance can be maintained in liver cancer intensity-modulated radiotherapy (IMRT) plans by systematically reducing the complexity of the delivered fluence.MethodsAn optimal baseline six fraction individualized IMRT plan for 27 patients with 45 liver cancers was developed which provided a median minimum dose to 0.5 cc of the planning target volume (PTV) of 38.3 Gy (range, 25.9-59.5 Gy), in 6 fractions, while maintaining liver toxicity risk <5% and maximum luminal gastrointestinal structure doses of 30 Gy. The number of segments was systematically reduced until normal tissue constraints were exceeded while maintaining equivalent dose coverage to 95% of PTV (PTVD95). Radiotherapy doses were compared between the plans.ResultsReduction in the number of segments was achieved for all 27 plans from a median of 48 segments (range 34-52) to 19 segments (range 6-30), without exceeding normal tissue dose objectives and maintaining equivalent PTVD95 and similar PTV Equivalent Uniform Dose (EUD(-20)) IMRT plans with fewer segments had significantly less monitor units (mean, 1892 reduced to 1695, p = 0.012), but also reduced dose conformity (mean, RTOG Conformity Index 1.42 increased to 1.53 p = 0.001).ConclusionsTumour coverage and normal tissue objectives were maintained with simplified liver IMRT, at the expense of reduced conformity.

[1]  L. Dawson,et al.  Individualized image guided iso-NTCP based liver cancer SBRT , 2006, Acta oncologica.

[2]  Andrea L McNiven,et al.  A new metric for assessing IMRT modulation complexity and plan deliverability. , 2010, Medical physics.

[3]  C. Cotrutz,et al.  Segment-based dose optimization using a genetic algorithm. , 2003, Physics in medicine and biology.

[4]  Daniel Normolle,et al.  Analysis of radiation-induced liver disease using the Lyman NTCP model. , 2002, International journal of radiation oncology, biology, physics.

[5]  Benedick A Fraass,et al.  Adaptive diffusion smoothing: a diffusion-based method to reduce IMRT field complexity. , 2008, Medical physics.

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

[7]  Benedick A Fraass,et al.  Reduction of IMRT beam complexity through the use of beam modulation penalties in the objective function. , 2007, Medical physics.

[8]  E. Hall,et al.  Radiation-induced second cancers: the impact of 3D-CRT and IMRT. , 2003, International journal of radiation oncology, biology, physics.

[9]  H Paganetti,et al.  Effects of organ motion on IMRT treatments with segments of few monitor units. , 2007, Medical physics.

[10]  Ruiguo Liu,et al.  Optimal number of beams for stereotactic body radiotherapy of lung and liver lesions. , 2006, International journal of radiation oncology, biology, physics.

[11]  Brenda G. Clark,et al.  A comparison of two commercial treatment‐planning systems for IMRT , 2005, Journal of applied clinical medical physics.

[12]  R Mohan,et al.  The impact of fluctuations in intensity patterns on the number of monitor units and the quality and accuracy of intensity modulated radiotherapy. , 2000, Medical physics.

[13]  Richard Pötter,et al.  Impact of IMRT and leaf width on stereotactic body radiotherapy of liver and lung lesions. , 2005, International journal of radiation oncology, biology, physics.

[14]  Charles S Mayo,et al.  Hybrid IMRT plans--concurrently treating conventional and IMRT beams for improved breast irradiation and reduced planning time. , 2005, International journal of radiation oncology, biology, physics.

[15]  W Schlegel,et al.  Intensity modulation with the "step and shoot" technique using a commercial MLC: a planning study. Multileaf collimator. , 1999, International journal of radiation oncology, biology, physics.

[16]  J. Lyman Complication probability as assessed from dose-volume histograms. , 1985, Radiation research. Supplement.

[17]  C. Burman,et al.  Calculation of complication probability factors for non-uniform normal tissue irradiation: the effective volume method. , 1989, International journal of radiation oncology, biology, physics.

[18]  Steve B. Jiang,et al.  Effects of intra-fraction motion on IMRT dose delivery: statistical analysis and simulation. , 2002, Physics in medicine and biology.

[19]  Mikael Karlsson,et al.  The effect of fraction time in intensity modulated radiotherapy: theoretical and experimental evaluation of an optimisation problem. , 2003, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[20]  J. Lyman Complication Probability as Assessed from Dose-Volume Histograms , 1985 .

[21]  Kristy K Brock,et al.  Accuracy of daily image guidance for hypofractionated liver radiotherapy with active breathing control. , 2005, International journal of radiation oncology, biology, physics.

[22]  R. T. Ten Haken,et al.  Phase II trial of high-dose conformal radiation therapy with concurrent hepatic artery floxuridine for unresectable intrahepatic malignancies. , 2005, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[23]  C. Yu,et al.  An examination of the number of required apertures for step-and-shoot IMRT , 2005, Physics in medicine and biology.

[24]  Maria Hawkins,et al.  Phase I study of individualized stereotactic body radiotherapy for hepatocellular carcinoma and intrahepatic cholangiocarcinoma. , 2008, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[25]  David A Jaffray,et al.  Cone-beam computed tomography for on-line image guidance of lung stereotactic radiotherapy: localization, verification, and intrafraction tumor position. , 2007, International journal of radiation oncology, biology, physics.

[26]  S. H. Cheng,et al.  Dosimetric analysis and comparison of three-dimensional conformal radiotherapy and intensity-modulated radiation therapy for patients with hepatocellular carcinoma and radiation-induced liver disease. , 2003, International journal of radiation oncology, biology, physics.

[27]  Randall K Ten Haken,et al.  Benefit of using biologic parameters (EUD and NTCP) in IMRT optimization for treatment of intrahepatic tumors. , 2005, International journal of radiation oncology, biology, physics.

[28]  David Craft,et al.  The tradeoff between treatment plan quality and required number of monitor units in intensity-modulated radiotherapy. , 2007, International journal of radiation oncology, biology, physics.

[29]  Vira Chankong,et al.  The impact of respiratory motion and treatment technique on stereotactic body radiation therapy for liver cancer. , 2008, Medical physics.

[30]  L. Dawson,et al.  Treatment planning study to determine potential benefit of intensity-modulated radiotherapy versus conformal radiotherapy for unresectable hepatic malignancies. , 2008, International journal of radiation oncology, biology, physics.

[31]  G. Lockwood,et al.  Phase I study of individualized stereotactic body radiotherapy of liver metastases. , 2009, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[32]  C. Anderson,et al.  Radiation Oncology , 2001, Springer International Publishing.

[33]  D L McShan,et al.  Inverse plan optimization accounting for random geometric uncertainties with a multiple instance geometry approximation (MIGA). , 2006, Medical physics.