Effectiveness of external respiratory surrogates for in vivo liver motion estimation.

PURPOSE Due to low frame rate of MRI and high radiation damage from fluoroscopy and CT, liver motion estimation using external respiratory surrogate signals seems to be a better approach to track liver motion in real-time for liver tumor treatments in radiotherapy and thermotherapy. This work proposes a liver motion estimation method based on external respiratory surrogate signals. Animal experiments are also conducted to investigate related issues, such as the sensor arrangement, multisensor fusion, and the effective time period. METHODS Liver motion and abdominal motion are both induced by respiration and are proved to be highly correlated. Contrary to the difficult direct measurement of the liver motion, the abdominal motion can be easily accessed. Based on this idea, our study is split into the model-fitting stage and the motion estimation stage. In the first stage, the correlation between the surrogates and the liver motion is studied and established via linear regression method. In the second stage, the liver motion is estimated by the surrogate signals with the correlation model. Animal experiments on cases of single surrogate signal, multisurrogate signals, and long-term surrogate signals are conducted and discussed to verify the practical use of this approach. RESULTS The results show that the best single sensor location is at the middle of the upper abdomen, while multisurrogate models are generally better than the single ones. The estimation error is reduced from 0.6 mm for the single surrogate models to 0.4 mm for the multisurrogate models. The long-term validity of the estimation models is quite satisfactory within the period of 10 min with the estimation error less than 1.4 mm. CONCLUSIONS External respiratory surrogate signals from the abdomen motion produces good performance for liver motion estimation in real-time. Multisurrogate signals enhance estimation accuracy, and the estimation model can maintain its accuracy for at least 10 min. This approach can be used in practical applications such as the liver tumor treatment in radiotherapy and thermotherapy.

[1]  F. Yin,et al.  The correlation evaluation of a tumor tracking system using multiple external markers. , 2006, Medical physics.

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

[3]  M. Halliwell,et al.  Ultrasound quantitation of respiratory organ motion in the upper abdomen. , 1994, The British journal of radiology.

[4]  Suresh Senan,et al.  Inferring positions of tumor and nodes in Stage III lung cancer from multiple anatomical surrogates using four-dimensional computed tomography. , 2010, International journal of radiation oncology, biology, physics.

[5]  P. Keall,et al.  Real-time target position estimation using stereoscopic kilovoltage/megavoltage imaging and external respiratory monitoring for dynamic multileaf collimator tracking. , 2011, International journal of radiation oncology, biology, physics.

[6]  Paul Suetens,et al.  Respiration-induced movement of the upper abdominal organs: a pitfall for the three-dimensional conformal radiation treatment of pancreatic cancer. , 2003, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

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

[8]  Alexis Laurent,et al.  Laparoscopic liver resection for subcapsular hepatocellular carcinoma complicating chronic liver disease. , 2003, Archives of surgery.

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

[10]  H. Kubo,et al.  Respiration gated radiotherapy treatment: a technical study. , 1996, Physics in medicine and biology.

[11]  G Belli,et al.  Laparoscopic and open treatment of hepatocellular carcinoma in patients with cirrhosis , 2009, The British journal of surgery.

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

[13]  Steve B. Jiang,et al.  The diaphragm as an anatomic surrogate for lung tumor motion , 2009, Physics in medicine and biology.

[14]  R Mohan,et al.  Determining parameters for respiration-gated radiotherapy. , 2001, Medical physics.

[15]  Harry Keller,et al.  Application of the spirometer in respiratory gated radiotherapy. , 2003, Medical physics.

[16]  P. Lainas,et al.  Laparoscopic resection for hepatocellular carcinoma: a matched-pair comparative study , 2010, Surgical Endoscopy.

[17]  E. Potchen,et al.  Assessment of hepatic respiratory excursion. , 1972, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[18]  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.

[19]  Maximilian Reiser,et al.  CyberKnife: review of first 1,000 cases at a dedicated therapy center , 2008, International Journal of Computer Assisted Radiology and Surgery.

[20]  Yuichiro Otsuka,et al.  Laparoscopic liver resection of hepatocellular carcinoma. , 2005, American journal of surgery.

[21]  A. Jemal,et al.  Global Cancer Statistics , 2011 .

[22]  Martin J Murphy,et al.  Tracking moving organs in real time. , 2004, Seminars in radiation oncology.

[23]  S. Weisberg Applied Linear Regression: Weisberg/Applied Linear Regression 3e , 2005 .

[24]  Kathleen Malinowski,et al.  Incidence of changes in respiration-induced tumor motion and its relationship with respiratory surrogates during individual treatment fractions. , 2012, International journal of radiation oncology, biology, physics.

[25]  C. Mathers,et al.  Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008 , 2010, International journal of cancer.

[26]  Robert D Timmerman,et al.  A phase I trial of stereotactic body radiation therapy (SBRT) for liver metastases. , 2005, International journal of radiation oncology, biology, physics.

[27]  G. Starkschall,et al.  Lack of correlation between external fiducial positions and internal tumor positions during breath-hold CT. , 2010, International journal of radiation oncology, biology, physics.

[28]  Lei Xing,et al.  Stereotactic body radiation therapy in multiple organ sites. , 2007, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[29]  Masoom A Haider,et al.  Three-dimensional motion of liver tumors using cine-magnetic resonance imaging. , 2008, International journal of radiation oncology, biology, physics.

[30]  Mitsuhiro Nakamura,et al.  Effect of audio coaching on correlation of abdominal displacement with lung tumor motion. , 2009, International journal of radiation oncology, biology, physics.

[31]  T. Dubinsky,et al.  High-intensity focused ultrasound: current potential and oncologic applications. , 2008, AJR. American journal of roentgenology.

[32]  Yufeng Zhou,et al.  High intensity focused ultrasound in clinical tumor ablation. , 2011, World journal of clinical oncology.

[33]  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.

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