Application of Real-Time 3D Navigation System in CT-Guided Percutaneous Interventional Procedures: A Feasibility Study

Introduction To evaluate the accuracy of a quantitative 3D navigation system for CT-guided interventional procedures in a two-part study. Materials and Methods Twenty-two procedures were performed in abdominal and thoracic phantoms. Accuracies of the 3D anatomy map registration and navigation were evaluated. Time used for the navigated procedures was recorded. In the IRB approved clinical evaluation, 21 patients scheduled for CT-guided thoracic and hepatic biopsy and ablations were recruited. CT-guided procedures were performed without following the 3D navigation display. Accuracy of navigation as well as workflow fitness of the system was evaluated. Results In phantoms, the average 3D anatomy map registration error was 1.79 mm. The average navigated needle placement accuracy for one-pass and two-pass procedures, respectively, was 2.0 ± 0.7 mm and 2.8 ± 1.1 mm in the liver and 2.7 ± 1.7 mm and 3.0 ± 1.4 mm in the lung. The average accuracy of the 3D navigation system in human subjects was 4.6 mm ± 3.1 for all procedures. The system fits the existing workflow of CT-guided interventions with minimum impact. Conclusion A 3D navigation system can be performed along the existing workflow and has the potential to navigate precision needle placement in CT-guided interventional procedures.

[1]  Samuel Kadoury,et al.  Real-time FDG PET guidance during biopsies and radiofrequency ablation using multimodality fusion with electromagnetic navigation. , 2011, Radiology.

[2]  Jacob Sosna,et al.  Electromagnetic navigation system for CT-guided biopsy of small lesions. , 2011, AJR. American journal of roentgenology.

[3]  Jacob Sosna,et al.  Evaluation of an electromagnetic image-fusion navigation system for biopsy of small lesions: assessment of accuracy in an in vivo swine model. , 2013, Academic radiology.

[4]  Fernando Bittinger,et al.  CT-Guided Percutaneous Core Needle Biopsy in Oncology Outpatients: Sensitivity, Specificity, Complications , 2009, Oncology Research and Treatment.

[5]  Kevin Cleary,et al.  Technologies for guidance of radiofrequency ablation in the multimodality interventional suite of the future. , 2007, Journal of vascular and interventional radiology : JVIR.

[6]  Sang Min Lee,et al.  C-arm cone-beam CT-guided percutaneous transthoracic needle biopsy of small (≤ 20 mm) lung nodules: diagnostic accuracy and complications in 161 patients. , 2012, AJR. American journal of roentgenology.

[7]  Dushyant V. Sahani,et al.  Imaging the liver. , 2004, The oncologist.

[8]  Ronak Talati,et al.  Five-year survival after cryoablation of stage I non-small cell lung cancer in medically inoperable patients. , 2015, Journal of vascular and interventional radiology : JVIR.

[9]  K. Cleary,et al.  Navigation with electromagnetic tracking for interventional radiology procedures: a feasibility study. , 2005, Journal of vascular and interventional radiology : JVIR.

[10]  David J Brenner,et al.  Should We be Concerned About the Rapid Increase in CT Usage? , 2010, Reviews on environmental health.

[11]  H. Lee,et al.  Diagnostic accuracy of CT fluoroscopy-guided needle aspiration biopsy of ground-glass opacity pulmonary lesions. , 2009, AJR. American journal of roentgenology.

[12]  J. Kennedy Imaging the liver. , 1995, Nursing standard (Royal College of Nursing (Great Britain) : 1987).

[13]  J. Lorenz Updates in Percutaneous Lung Biopsy: New Indications, Techniques and Controversies , 2012, Seminars in Interventional Radiology.

[14]  G Widmann,et al.  Comparison of freehand‐navigated and aiming device‐navigated targeting of liver lesions , 2014, The international journal of medical robotics + computer assisted surgery : MRCAS.

[15]  Jian Zhou,et al.  Biomarkers for hepatocellular carcinoma: progression in early diagnosis, prognosis, and personalized therapy , 2013, Biomarker Research.

[16]  Sheng Xu,et al.  Clinical utility of real-time fusion guidance for biopsy and ablation. , 2011, Journal of vascular and interventional radiology : JVIR.

[17]  Alphy Rose-James,et al.  Molecular Markers with Predictive and Prognostic Relevance in Lung Cancer , 2012, Lung cancer international.

[18]  F. Soares,et al.  Computed tomography guided needle biopsy: experience from 1,300 procedures. , 2006, Sao Paulo medical journal = Revista paulista de medicina.

[19]  Jae Young Lee,et al.  Radiofrequency ablation of hepatocellular carcinoma as first-line treatment: long-term results and prognostic factors in 162 patients with cirrhosis. , 2014, Radiology.

[20]  M. Gould,et al.  Recent Trends in the Identification of Incidental Pulmonary Nodules. , 2015, American journal of respiratory and critical care medicine.

[21]  Anne Auperin,et al.  Electromagnetic-Tracked Biopsy under Ultrasound Guidance: Preliminary Results , 2012, CardioVascular and Interventional Radiology.

[22]  Bradford J. Wood,et al.  Real-time tracking of liver motion and deformation using a flexible needle , 2010, International Journal of Computer Assisted Radiology and Surgery.

[23]  V. Moyer Screening for Lung Cancer: U.S. Preventive Services Task Force Recommendation Statement , 2014, Annals of Internal Medicine.

[24]  H. Wen,et al.  Application of a Three-Dimensional Reconstruction Technique in Liver Autotransplantation for End-Stage Hepatic Alveolar Echinococcosis , 2015, Journal of Gastrointestinal Surgery.