Imaging in interventional oncology: Role of image guidance

doi:10.1017/CBO9781107338555.008

8 - Imaging in interventional oncology: Role of image guidance

from Section II - Principles of image-guided therapies

Published online by Cambridge University Press: 05 September 2016

François Cornelis and

Stephen B. Solomon

Edited by

Jean-Francois H. Geschwind and

Michael C. Soulen

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François Cornelis: Affiliation:
Department of Radiology
Stephen B. Solomon: Affiliation:
Department of Radiology
Jean-Francois H. Geschwind: Affiliation:
Yale University School of Medicine, Connecticut
Michael C. Soulen: Affiliation:
Department of Radiology, University of Pennsylvania Hospital, Philadelphia

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Summary

Introduction

Advances in medical imaging have created the opportunity for minimally invasive, image-guided oncologic care by allowing: (1) procedure planning; (2) device delivery; (3) intraprocedure monitoring; and (4) therapy assessment. Although most current image-guided therapy still utilizes standard diagnostic imaging equipment, interventional use of imaging equipment has in fact different priorities compared with diagnostic uses of such equipment. Therefore, interventional procedures prioritize imaging equipment that: (1) provides real-time imaging; (2) lowers radiation dose; and (3) provides greater physician access to the patient. In contrast to diagnostic imaging, lower image quality is an acceptable compromise for real-time imaging for interventional procedures. Patients have already undergone high-quality diagnostic imaging when they are referred to interventional therapies. Moreover, high-quality diagnostic imaging may require more time and more radiation dose than fast imaging of a restricted region of interest as performed for image guidance of interventions.

Although current imaging systems provide some of the required features for interventional procedures, none provides all of them. Ultrasound (US) is a real-time, multiplanar technique, but is limited in terms of detection or tumor visualization. Computed tomography (CT) provides partial access and can be used to guide procedures intermittently, but exposes patients and staff to ionizing radiation. Moreover, CT is primarily a two-dimensional (2D) planar tool; real-time, three-dimensional (3D) imaging is not yet fully integrated into interventional CT applications. Magnetic resonance imaging (MRI) seems to be the most reliable technique, allowing interventions to be performed for tumors that are visible only with MRI, such as in case of soft-tissue tumors, and provides thermal monitoring of ablations, but access to MRI systems is limited and MR tool compatibility is lacking. However, using these techniques, recent intervention-focused improvements have helped broaden the applications of image-guided therapy.

Imaging for procedure planning

The first critical application of imaging in any image-guided procedure or, for that matter, any surgical procedure is in the planning phase. In this application, the most relevant, high-quality diagnostic imaging study available must be evaluated. In many cases, the evaluation requires an assortment of imaging studies. Some may be anatomic studies such as contrast CT or MR, and other studies may be physiologic studies such as positron emission tomography (PET) or single-photon emission computed tomography (SPECT).

Information

Type: Chapter
Information: Interventional Oncology
Principles and Practice of Image-Guided Cancer Therapy
, pp. 65 - 76

DOI: https://doi.org/10.1017/CBO9781107338555.008 [Opens in a new window]

Publisher: Cambridge University Press

Print publication year: 2016

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References

1. Nawfel, RD, Judy, PF, Silverman, SG, Hooton, S, Tuncali, K, Adams, DF. Patient and personnel exposure during CT fluoroscopy-guided interventional procedures. Radiology 2000; 216 (1): 180–184.Google Scholar

2. Silverman, SG, Tuncali, K, Adams, DF, Nawfel, RD, Zou, KH, Judy, PF. CT fluoroscopy-guided abdominal interventions: techniques, results, and radiation exposure. Radiology 1999; 212 (3): 673–681.Google Scholar

3. Gedroyc, WMW. Magnetic resonance guidance of thermal ablation. Top Magn Reson Imaging 2005; 16 (5): 339–353.Google Scholar

4. Mougenot, C, Quesson, B, Senneville, BD de, Oliveira, PL de, Sprinkhuizen, S, Palussiere, J, et al. Three-dimensional spatial and temporal temperature control with MR thermometry-guided focused ultrasound (MRgHIFU). Magn Reson Med 2009; 61 (3): 603–614.Google Scholar

5. Pech, M, Wieners, G, Freund, T, Dudeck, O, Fischbach, F, Ricke, J, et al. MR-guided interstitial laser thermotherapy of colorectal liver metastases: efficiency, safety and patient survival. Eur J Med Res 2007; 12 (4): 161–168.Google Scholar

6. Puls, R, Langner, S, Rosenberg, C, Hegenscheid, K, Kuehn, JP, Noeckler, K, et al. Laser ablation of liver metastases from colorectal cancer with MR thermometry: 5-year survival. J Vasc Interv Radiol 2009; 20 (2): 225–234.Google Scholar

7. Lewin, JS, Nour, SG, Connell, CF, Sulman, A, Duerk, JL, Resnick, MI, et al. Phase II clinical trial of interactive MR imaging-guided interstitial radiofrequency thermal ablation of primary kidney tumors: initial experience. Radiology 2004; 232 (3): 835–845.Google Scholar

8. Tatli, S, Morrison, PR, Tuncali, K, Silverman, SG. Interventional MRI for oncologic applications. Tech Vasc Interv Radiol 2007; 10 (2): 159–170.Google Scholar

9. Jankun, M, Kelly, TJ, Zaim, A, Young, K, Keck, RW, Selman, SH, et al. Computer model for cryosurgery of the prostate. Comput Aided Surg 1999; 4 (4): 193–199.Google Scholar

10. Villard, C, Baegert, C, Schreck, P, Soler, L, Gangi, A. Optimal trajectories computation within regions of interest for hepatic RFA planning. Med Image Comput Comput Assist Interv 2005; 8 (2): 49–56.Google Scholar

11. Solomon, SB, Patriciu, A, Bohlman, ME, Kavoussi, LR, Stoianovici, D. Robotically driven interventions: a method of using CT fluoroscopy without radiation exposure to the physician. Radiology 2002; 225 (1): 277–282.Google Scholar

12. Sze, DY, Razavi, MK, So, SK, Jeffrey, RB. Impact of multidetector CT hepatic arteriography on the planning of chemoembolization treatment of hepatocellular carcinoma. AJR Am J Roentgenol 2001; 177 (6): 1339–1345.Google Scholar

13. Villard, C, Soler, L, Gangi, A. Radiofrequency ablation of hepatic tumors: simulation, planning, and contribution of virtual reality and haptics. Comput Methods Biomech Biomed Engin 2005; 8 (4): 215–227.Google Scholar

14. Katada, K, Kato, R, Anno, H, Ogura, Y, Koga, S, Ida, Y, et al. Guidance with real-time CT fluoroscopy: early clinical experience. Radiology 1996; 200 (3): 851–856.Google Scholar

15. Hiraki, T, Mimura, H, Gobara, H, Iguchi, T, Fujiwara, H, Sakurai, J, et al. CT fluoroscopy-guided biopsy of 1,000 pulmonary lesions performed with 20-gauge coaxial cutting needles: diagnostic yield and risk factors for diagnostic failure. Chest 2009; 136 (6): 1612–1617.Google Scholar

16. Trumm, CG, Jakobs, TF, Zech, CJ, Helmberger, TK, Reiser, MF, Hoffmann, R-T. CT fluoroscopy-guided percutaneous vertebroplasty for the treatment of osteolytic breast cancer metastases: results in 62 sessions with 86 vertebrae treated. J Vasc Interv Radiol 2008; 19 (11): 1596–1606.Google Scholar

17. Hohl, C, Suess, C, Wildberger, JE, Honnef, D, Das, M, Muhlenbruch, G, et al. Dose reduction during CT fluoroscopy: phantom study of angular beam modulation. Radiology 2008; 246 (2): 519–525.Google Scholar

18. Neeman, Z, Dromi, SA, Sarin, S, Wood, BJ. CT fluoroscopy shielding: decreases in scattered radiation for the patient and operator. J Vasc Interv Radiol 2006; 17 (12): 1999–2004.Google Scholar

19. Irie, T, Kajitani, M, Itai, Y. CT fluoroscopy-guided intervention: marked reduction of scattered radiation dose to the physician's hand by use of a lead plate and an improved I-I device. J Vasc Interv Radiol 2001; 12 (12): 1417–1421.Google Scholar

20. Yutzy, SR, Duerk, JL. Pulse sequences and system interfaces for interventional and real-time MRI. J Magn Reson Imaging 2008; 27 (2): 267–275.Google Scholar

21. Boss, A, Rempp, H, Martirosian, P, Clasen, S, Schraml, C, Stenzl, A, et al. Wide-bore 1.5 Tesla MR imagers for guidance and monitoring of radiofrequency ablation of renal cell carcinoma: initial experience on feasibility. Eur Radiol 2008; 18 (7): 1449–1455.Google Scholar

22. Silverman, SG, Tuncali, K, Morrison, PR. MR imaging-guided percutaneous tumor ablation. Acad Radiol 2005; 12 (9): 1100–1109.Google Scholar

23. Chin, JL, Downey, DB, Onik, G, Fenster, A. Three-dimensional prostate ultrasound and its application to cryosurgery. Tech Urol 1996; 2 (4): 187–193.Google Scholar

24. Liapi, E, Hong, K, Georgiades, CS, Geschwind, J-FH. Three-dimensional rotational angiography: introduction of an adjunctive tool for successful transarterial chemoembolization. J Vasc Interv Radiol 2005; 16 (9): 1241–1245.Google Scholar

25. Beldi, G, Styner, M, Schindera, S, Inderbitzin, D, Candinas, D. Intraoperative three-dimensional fluoroscopic cholangiography. Hepatogastroenterology 2006; 53 (68): 157–159.Google Scholar

26. Wallace, MJ. C-arm computed tomography for guiding hepatic vascular interventions. Tech Vasc Interv Radiol 2007; 10 (1): 79–86.Google Scholar

27. Iwazawa, J, Ohue, S, Mitani, T, Abe, H, Hashimoto, N, Hamuro, M, et al. Identifying feeding arteries during TACE of hepatic tumors: comparison of C-arm CT and digital subtraction angiography. AJR Am J Roentgenol 2009; 192 (4): 1057–1063.Google Scholar

28. Kakeda, S, Korogi, Y, Ohnari, N, Moriya, J, Oda, N, Nishino, K, et al. Usefulness of cone-beam volume CT with flat panel detectors in conjunction with catheter angiography for transcatheter arterial embolization. J Vasc Interv Radiol 2007; 18 (12): 1508–1516.Google Scholar

29. Kakeda, S, Korogi, Y, Hatakeyama, Y, Ohnari, N, Oda, N, Nishino, K, et al. The usefulness of three-dimensional angiography with a flat panel detector of direct conversion type in a transcatheter arterial chemoembolization procedure for hepatocellular carcinoma: initial experience. Cardiovasc Intervent Radiol 2008; 31 (2): 281–288.Google Scholar

30. Kim, CK, Choi, D, Lim, HK, Kim, SH, Lee, WJ, Kim, MJ, et al. Therapeutic response assessment of percutaneous radiofrequency ablation for hepatocellular carcinoma: utility of contrast-enhanced agent detection imaging. Eur J Radiol 2005; 56 (1): 66–73.Google Scholar

31. Weichert, JP, Lee, FT, Chosy, SG, Longino, MA, Kuhlman, JE, Heisey, DM, et al. Combined hepatocyte-selective and blood-pool contrast agents for the CT detection of experimental liver tumors in rabbits. Radiology 2000; 216 (3): 865–871.Google Scholar

32. Fu, Y, Nitecki, DE, Maltby, D, Simon, GH, Berejnoi, K, Raatschen, H-J, et al. Dendritic iodinated contrast agents with PEG-cores for CT imaging: synthesis and preliminary characterization. Bioconjug Chem 2006; 17 (4): 1043–1056.Google Scholar

33. Cornelis, F, Rigou, G, Bras, Y Le, Coutouly, X, Hubrecht, R, Yacoub, M, et al. Real-time contrast-enhanced transrectal US-guided prostate biopsy: diagnostic accuracy in men with previously negative biopsy results and positive MR imaging findings. Radiology 2013; 269 (1): 159–166. PubMed PMID: 23657887.Google Scholar

34. Chen, MH, Yang, W, Yan, K, Dai, Y, Wu, W, Fan, ZH, et al. The role of contrast-enhanced ultrasound in planning treatment protocols for hepatocellular carcinoma before radiofrequency ablation. Clin Radiol 2007; 62 (8): 752–760.Google Scholar

35. Liu, J-B, Wansaicheong, G, Merton, DA, Chiou, S-Y, Sun, Y, Li, K, et al. Canine prostate: contrast-enhanced US-guided radiofrequency ablation with urethral and neurovascular cooling – initial experience. Radiology 2008; 247 (3): 717–725.Google Scholar

36. Numata, K, Isozaki, T, Ozawa, Y, Sakaguchi, T, Kiba, T, Kubota, T, et al. Percutaneous ablation therapy guided by contrast-enhanced sonography for patients with hepatocellular carcinoma. AJR Am J Roentgenol 2003; 180 (1): 143–149.Google Scholar

37. Solbiati, L, Ierace, T, Tonolini, M, Cova, L. Guidance and monitoring of radiofrequency liver tumor ablation with contrast-enhanced ultrasound. Eur J Radiol 2004; 51 Suppl: 19–23.Google Scholar

38. Mao, H, Chen, W, Laurent, S, Thirifays, C, Burtea, C, Rezaee, F, et al. Hard corona composition and cellular toxicities of the graphene sheets. Colloids Surf B Biointerfaces 2013; 109: 212–218.Google Scholar

39. Bartolozzi, C, Crocetti, L, Lencioni, R, Cioni, D, Pina, C Della, Campani, D. Biliary and reticuloendothelial impairment in hepatocarcinogenesis: the diagnostic role of tissue-specific MR contrast media. Eur Radiol 2007; 17 (10): 2519–2530.Google Scholar

40. Lindner, LH, Reinl, HM, Schlemmer, M, Stahl, R, Peller, M. Paramagnetic thermosensitive liposomes for MR-thermometry. Int J Hyperthermia 2005; 21 (6): 575–588.Google Scholar

41. McDannold, N, Tempany, CM, Fennessy, FM, So, MJ, Rybicki, FJ, Stewart, EA, et al. Uterine leiomyomas: MR imaging-based thermometry and thermal dosimetry during focused ultrasound thermal ablation. Radiology 2006; 240 (1): 263–272.Google Scholar

42. Needham, D, Dewhirst, MW. The development and testing of a new temperature-sensitive drug delivery system for the treatment of solid tumors. Adv Drug Deliv Rev 2001; 53 (3): 285–305.Google Scholar

43. Wendler, T, Traub, J, Ziegler, SI, Navab, N. Navigated three dimensional beta probe for optimal cancer resection. Med Image Comput Comput Assist Interv 2006; 9 (1): 561–569.Google Scholar

44. Yokoyama, K, Ikeda, O, Kawanaka, K, Nakasone, Y, Tamura, Y, Inoue, S, et al. Comparison of CT-guided percutaneous biopsy with and without registration of prior PET/CT images to diagnose mediastinal tumors. Cardiovasc Intervent Radiol 2014;37 (5): 1306–1311. PubMed PMID: 24263776.Google Scholar

45. Hales, NW, Krempl, GA, Medina, JE. Is there a role for fluorodeoxyglucose positron emission tomography/computed tomography in cytologically indeterminate thyroid nodules? Am J Otolaryngol 2008; 29 (2): 113–118. PubMed PMID: 18314022.Google Scholar

46. Heron, DE, Smith, RP, Andrade, RS. Advances in image-guided radiation therapy – the role of PET-CT. Med Dosim 2006; 31 (1): 3–11.Google Scholar

47. Veit, P, Kuehle, C, Beyer, T, Kuehl, H, Bockisch, A, Antoch, G. Accuracy of combined PET/CT in image-guided interventions of liver lesions: an ex-vivo study. World J Gastroenterol 2006; 12 (15): 2388–2393.Google Scholar

48. Wein, W, Roper, B, Navab, N. Automatic registration and fusion of ultrasound with CT for radiotherapy. Med Image Comput Comput Assist Interv 2005; 8 (2): 303–311.Google Scholar

49. Crocetti, L, Lencioni, R, Debeni, S, See, TC, Pina, CD, Bartolozzi, C. Targeting liver lesions for radiofrequency ablation: an experimental feasibility study using a CT-US fusion imaging system. Invest Radiol 2008; 43 (1): 33–39.Google Scholar

50. Singh, AK, Kruecker, J, Xu, S, Glossop, N, Guion, P, Ullman, K, et al. Initial clinical experience with real-time transrectal ultrasonography–magnetic resonance imaging fusion-guided prostate biopsy. BJU Int 2008; 101 (7): 841–845.Google Scholar

51. Ewertsen, C, Grossjohann, HS, Nielsen, KR, Torp-Pedersen, S, Nielsen, MB. Biopsy guided by real-time sonography fused with MRI: a phantom study. AJR Am J Roentgenol 2008; 190 (6): 1671–1674.Google Scholar

52. Solomon, SB. Incorporating CT, MR imaging, and positron emission tomography into minimally invasive therapies. J Vasc Interv Radiol 2005; 16 (4): 445–447.Google Scholar

53. Archip, N, Tatli, S, Morrison, P, Jolesz, F, Warfield, SK, Silverman, S. Non-rigid registration of pre-procedural MR images with intra-procedural unenhanced CT images for improved targeting of tumors during liver radiofrequency ablations. Med Image Comput Comput Assist Interv 2007; 10 (2): 969–977.Google Scholar

54. Gutierrez, LF, Silva, RD, Ozturk, C, Sonmez, M, Stine, AM, Raval, AN, et al. Technology preview: X-ray fused with magnetic resonance during invasive cardiovascular procedures. Catheter Cardiovasc Interv 2007; 70 (6): 773–782.Google Scholar

55. Tatli, S, Gerbaudo, VH, Mamede, M, Tuncali, K, Shyn, PB, Silverman, SG. Abdominal masses sampled at PET/CT-guided percutaneous biopsy: initial experience with registration of prior PET/CT images. Radiology 2010; 256 (1): 305–311. PubMed PMID: 20574103.Google Scholar

56. Ryan, ER, Sofocleous, CT, Schoder, H, Carrasquillo, JA, Nehmeh, S, Larson, SM, et al. Split-dose technique for FDG PET/CT-guided percutaneous ablation: a method to facilitate lesion targeting and to provide immediate assessment of treatment effectiveness. Radiology 2013; 268 (1): 288–295. PubMed PMID: 23564714. Pubmed Central PMCID: 3689447.Google Scholar

57. Klaeser, B, Mueller, MD, Schmid, RA, Guevara, C, Krause, T, Wiskirchen, J. PET-CT-guided interventions in the management of FDG-positive lesions in patients suffering from solid malignancies: initial experiences. Eur Radiol 2009; 19 (7): 1780–1785.Google Scholar

58. Shyn, PB, Tatli, S, Sahni, VA, Sadow, CA, Forgione, K, Mauri, G, et al. PET/CT-guided percutaneous liver mass biopsies and ablations: targeting accuracy of a single 20 s breath-hold PET acquisition. Clin Radiol 2014; 69 (4): 410–415. PubMed PMID: 24411824.Google Scholar

59. Meyer, BC, Peter, O, Nagel, M, Hoheisel, M, Frericks, BB, Wolf, K-J, et al. Electromagnetic field-based navigation for percutaneous punctures on C-arm CT: experimental evaluation and clinical application. Eur Radiol 2008; 18 (12): 2855–2864.Google Scholar

60. Wood, BJ, Locklin, JK, Viswanathan, A, Kruecker, J, Haemmerich, D, Cebral, J, et al. Technologies for guidance of radiofrequency ablation in the multimodality interventional suite of the future. J Vasc Interv Radiol 2007; 18 (1): 9–24.Google Scholar

61. Borgert, J, Kruger, S, Timinger, H, Krucker, J, Glossop, N, Durrani, A, et al. Respiratory motion compensation with tracked internal and external sensors during CT-guided procedures. Comput Aided Surg 2006; 11 (3): 119–125.Google Scholar

62. Mogami, T, Dohi, M, Harada, J. A new image navigation system for MR-guided cryosurgery. Magn Reson Med Sci 2002; 1 (4): 191–197.Google Scholar

63. Peters, TM. Image-guidance for surgical procedures. Phys Med Biol 2006; 51 (14): 505–540.Google Scholar

64. Zhang, H, Banovac, F, Lin, R, Glossop, N, Wood, BJ, Lindisch, D, et al. Electromagnetic tracking for abdominal interventions in computer aided surgery. Comput Aided Surg 2006; 11 (3): 127–136.Google Scholar

65. Solomon, SB. Interactive images in the operating room. J Endourol 1999; 13 (7): 471–475.Google Scholar

66. Mozer, P, Troccaz, J, Stoianovici, D. Urologic robots and future directions. Curr Opin Urol 2009; 19 (1): 114–119.Google Scholar

67. Kavoussi, LR, Moore, RG, Adams, JB, Partin, AW. Comparison of robotic versus human laparoscopic camera control. J Urol 1995; 154 (6): 2134–2136.Google Scholar

68. Fadda, M, Marcacci, M, Toksvig-Larsen, S, Wang, T, Meneghello, R. Improving accuracy of bone resections using robotics tool holder and a high speed milling cutting tool. J Med Eng Technol 1998; 22 (6): 280–284.Google Scholar

69. Baek, SK, Carmichael, JC, Pigazzi, A. Robotic surgery: colon and rectum. Cancer J 2013; 19 (2): 140–146. PubMed PMID: 23528722.Google Scholar

70. Evans, SM, Millar, JL, Frydenberg, M, Murphy, DG, Davis, ID, Spelman, T, et al. Positive surgical margins: rate, contributing factors and impact on further treatment: findings from the Prostate Cancer Registry. BJU Int 2014; 114 (5): 680–690. PubMed PMID: 24128010.Google Scholar

71. Lee, BR, Png, DJ, Liew, L, Fabrizio, M, Li, MK, Jarrett, JW, et al. Laparoscopic telesurgery between the United States and Singapore. Ann Acad Med Singapore 2000; 29 (5): 665–668.Google Scholar

72. Solomon, SB, Patriciu, A, Bohlman, ME, Kavoussi, LR, Stoianovici, D. Robotically driven interventions: a method of using CT fluoroscopy without radiation exposure to the physician. Radiology 2002; 225 (1): 277–282. PubMed PMID: 12355016. Pubmed Central PMCID: 3107539.Google Scholar

73. Gianfelice, D, Lepanto, L, Perreault, P, Chartrand-Lefebvre, C, Milette, PC. Effect of the learning process on procedure times and radiation exposure for CT fluoroscopy-guided percutaneous biopsy procedures. J Vasc Interv Radiol 2000; 11 (9): 1217–1221.Google Scholar

74. Tovar-Arriaga, S, Tita, R, Pedraza-Ortega, JC, Gorrostieta, E, Kalender, WA. Development of a robotic FD-CT-guided navigation system for needle placement-preliminary accuracy tests. Int J Med Robot 2011; 7 (2): 225–236.Google Scholar

75. Yanof, J, Haaga, J, Klahr, P, Bauer, C, Nakamoto, D, Chaturvedi, A, et al. CT-integrated robot for interventional procedures: preliminary experiment and computer-human interfaces. Comput Aided Surg 2001; 6 (6): 352–359.Google Scholar

76. Abdullah, BJ, Yeong, CH, Goh, KL, Yoong, BK, Ho, GF, Yim, CC, et al. Robot-assisted radiofrequency ablation of primary and secondary liver tumours: early experience. Eur Radiol 2014; 24 (1): 79–85. PubMed PMID: 23928933.Google Scholar

77. Zhou, Y, Thiruvalluvan, K, Krzeminski, L, Moore, WH, Xu, Z, Liang, Z. CT-guided robotic needle biopsy of lung nodules with respiratory motion – experimental system and preliminary test. Int J Med Robot 2013; 9 (3): 317–330. PubMed PMID: 22693164.Google Scholar

78. Stoffner, R, Augscholl, C, Widmann, G, Bohler, D, Bale, R. Accuracy and feasibility of frameless stereotactic and robot-assisted CT-based puncture in interventional radiology: a comparative phantom study. RoFo 2009; 181 (9): 851–858. PubMed PMID: 19517342.Google Scholar

79. Bonekamp, D, Jacobs, MA, El-Khouli, R, Stoianovici, D, Macura, KJ. Advancements in MR imaging of the prostate: from diagnosis to interventions. Radiographics 2011; 31 (3): 677–703.Google Scholar

80. Pollock, R, Mozer, P, Guzzo, TJ, Marx, J, Matlaga, B, Petrisor, D, et al. Prospects in percutaneous ablative targeting: comparison of a computer-assisted navigation system and the AcuBot robotic system. J Endourol 2010; 24 (8): 1269–1272.Google Scholar

81. Hempel, E, Fischer, H, Gumb, L, Hohn, T, Krause, H, Voges, U, et al. An MRI-compatible surgical robot for precise radiological interventions. Comput Aided Surg 2003; 8 (4): 180–191.Google Scholar

82. Boctor, EM, Choti, MA, Burdette, EC, Iii, RJ Webster. Three-dimensional ultrasound-guided robotic needle placement: an experimental evaluation. Int J Med Robot. 2008; 4 (2): 180–191.CrossRef Google Scholar

83. DiMaio, SP, Pieper, S, Chinzei, K, Hata, N, Haker, SJ, Kacher, DF, et al. Robot-assisted needle placement in open MRI: system architecture, integration and validation. Comput Aided Surg 2007; 12 (1): 15–24.Google Scholar

84. Stoianovici, D. Multi-imager compatible actuation principles in surgical robotics. Int J Med Robot 2005; 1 (2): 86–8100.Google Scholar

85. Koethe, Y, Xu, S, Velusamy, G, Wood, BJ, Venkatesan, AM. Accuracy and efficacy of percutaneous biopsy and ablation using robotic assistance under computed tomography guidance: a phantom study. Eur Radiol 2013; 24 (3): 723–730. PubMed PMID: 24220755.Google Scholar

86. Silverman, SG, Tuncali, K, Adams, DF, vanSonnenberg, E, Zou, KH, Kacher, DF, et al. MR imaging-guided percutaneous cryotherapy of liver tumors: initial experience. Radiology 2000; 217 (3): 657–664.Google Scholar

87. Boss, A, Clasen, S, Kuczyk, M, Anastasiadis, A, Schmidt, D, Graf, H, et al. Magnetic resonance-guided percutaneous radiofrequency ablation of renal cell carcinomas: a pilot clinical study. Invest Radiol 2005; 40 (9): 583–590.Google Scholar

88. Kettenbach, J, Kacher, DF, Koskinen, SK, Silverman, SG, Nabavi, A, Gering, D, et al. Interventional and intraoperative magnetic resonance imaging. Annu Rev Biomed Eng 2000; 2: 661–690.Google Scholar

89. Gaffke, G, Gebauer, B, Knollmann, FD, Helmberger, T, Ricke, J, Oettle, H, et al. Use of semiflexible applicators for radiofrequency ablation of liver tumors. Cardiovasc Intervent Radiol 2006; 29 (2): 270–275.Google Scholar

90. Fritz, J, Clasen, S, Boss, A, Thomas, C, Konig, CW, Claussen, CD, et al. Real-time MR fluoroscopy-navigated lumbar facet joint injections: feasibility and technical properties. Eur Radiol 2008; 18 (7): 1513–1518.Google Scholar

91. Thomas, C, Springer, F, Rothke, M, Rempp, H, Clasen, S, Fritz, J, et al. In vitro assessment of needle artifacts with an interactive three-dimensional MR fluoroscopy system. J Vasc Interv Radiol 2010; 21 (3): 375–380.Google Scholar

92. Weiss, CR, Nour, SG, Lewin, JS. MR-guided biopsy: a review of current techniques and applications. J Magn Reson Imaging 2008; 27 (2): 311–325.Google Scholar

93. Moelker, A, Maas, RAJJ, Lethimonnier, F, Pattynama, PMT. Interventional MR imaging at 1.5 T: quantification of sound exposure. Radiology 2002; 224 (3): 889–895.Google Scholar

94. Nour, SG, Lewin, JS. Radiofrequency thermal ablation: the role of MR imaging in guiding and monitoring tumor therapy. Magn Reson Imaging Clin N Am 2005; 13 (3): 561–581.Google Scholar

95. Stoeckelhuber, BM, Leibecke, T, Schulz, E, Melchert, UH, Bergmann-Koester, CU, Helmberger, T, et al. Radiation dose to the radiologist's hand during continuous CT fluoroscopy-guided interventions. Cardiovasc Intervent Radiol 2005; 28 (5): 589–594.Google Scholar

96. Efstathopoulos, EP, Brountzos, EN, Alexopoulou, E, Argentos, S, Kelekis, DA, Raptou, PD, et al. Patient radiation exposure measurements during interventional procedures: a prospective study. Health Phys 2006; 91 (1): 36–40.Google Scholar

97. Wang, X, Erinjeri, JP, Jia, X, Gonen, M, Brown, KT, Sofocleous, CT, et al. Pattern of retained contrast on immediate postprocedure computed tomography (CT) after particle embolization of liver tumors predicts subsequent treatment response. Cardiovasc Intervent Radiol 2013; 36 (4): 1030–1038. PubMed PMID: 23152036.Google Scholar

98. Larson, AC, Wang, D, Atassi, B, Sato, KT, Ryu, RK, Lewandowski, RJ, et al. Transcatheter intraarterial perfusion: MR monitoring of chemoembolization for hepatocellular carcinoma – feasibility of initial clinical translation. Radiology 2008; 246 (3): 964–971.Google Scholar

99. Zagoria, RJ, Pettus, JA, Rogers, M, Werle, DM, Childs, D, Leyendecker, JR. Long-term outcomes after percutaneous radiofrequency ablation for renal cell carcinoma. Urology 2011; 77 (6): 1393–1397. PubMed PMID: 21492910.Google Scholar

100. Havez, M, Lippa, N, Al-Ammari, S, Kind, M, Stoeckle, E, Italiano, A, et al. Percutaneous image-guided cryoablation in inoperable extra-abdominal desmoid tumors: a study of tolerability and efficacy. Cardiovasc Intervent Radiol 2014; 37 (6): 1500–1506. PubMed PMID: 24402645.Google Scholar

101. Saksena, M, Gervais, D. Percutaneous renal tumor ablation. Abdom Imaging 2009; 34 (5): 582–587.Google Scholar

102. Hahn, PF, Gazelle, GS, Jiang, DY, Compton, CC, Goldberg, SN, Mueller, PR. Liver tumor ablation: real-time monitoring with dynamic CT. Acad Radiol 1997; 4 (9): 634–638.Google Scholar

103. Hamuro, M, Kaminou, T, Nakamura, K, Matsuoka, T, Sakai, Y, Morimoto, A, et al. Percutaneous ethanol injection under CT fluoroscopy for hypervascular hepatocellular carcinoma following transcatheter arterial embolization. Hepatogastroenterology 2002; 49 (45): 752–757.Google Scholar

104. Cornelis, F, Grenier, N, Moonen, CT, Quesson, B. In vivo characterization of tissue thermal properties of the kidney during local hyperthermia induced by MR-guided high-intensity focused ultrasound. NMR Biomed 2011; 24 (7): 799–806. PubMed PMID: 21834004.Google Scholar

105. Senneville, BD de, Mougenot, C, Quesson, B, Dragonu, I, Grenier, N, Moonen, CTW. MR thermometry for monitoring tumor ablation. Eur Radiol 2007; 17 (9): 2401–2410.Google Scholar

106. Herbertson, RA, Lee, ST, Tebbutt, N, Scott, AM. The expanding role of PET technology in the management of patients with colorectal cancer. Ann Oncol 2007; 18 (11): 1774–1781.Google Scholar

107. Klaeser, B, Wiederkehr, O, Koeberle, D, Mueller, A, Bubeck, B, Thuerlimann, B. Therapeutic impact of 2-[fluorine-18]fluoro-2-deoxy-D-glucose positron emission tomography in the pre- and postoperative staging of patients with clinically intermediate or high-risk breast cancer. Ann Oncol 2007; 18 (8): 1329–1334.Google Scholar

108. Piperkova, E, Raphael, B, Altinyay, ME, Castellon, I, Libes, R, Sandella, N, et al. Impact of PET/CT in comparison with same day contrast enhanced CT in breast cancer management. Clin Nucl Med 2007; 32 (6): 429–434.Google Scholar

109. Loft, A, Berthelsen, AK, Roed, H, Ottosen, C, Lundvall, L, Knudsen, J, et al. The diagnostic value of PET/CT scanning in patients with cervical cancer: a prospective study. Gynecol Oncol 2007; 106 (1): 29–34.Google Scholar

110. Kitajima, K, Murakami, K, Yamasaki, E, Kaji, Y, Fukasawa, I, Inaba, N, et al. Diagnostic accuracy of integrated FDG-PET/contrast-enhanced CT in staging ovarian cancer: comparison with enhanced CT. Eur J Nucl Med Mol Imaging 2008; 35 (10): 1912–1920.Google Scholar

111. Volker, T, Denecke, T, Steffen, I, Misch, D, Schonberger, S, Plotkin, M, et al. Positron emission tomography for staging of pediatric sarcoma patients: results of a prospective multicenter trial. J Clin Oncol 2007; 25 (34): 5435–5441.Google Scholar

112. Lardinois, D, Weder, W, Hany, TF, Kamel, EM, Korom, S, Seifert, B, et al. Staging of non-small-cell lung cancer with integrated positron-emission tomography and computed tomography. N Engl J Med 2003; 348 (25): 2500–2507.Google Scholar

113. Deandreis, D, Leboulleux, S, Dromain, C, Auperin, A, Coulot, J, Lumbroso, J, et al. Role of FDG PET/CT and chest CT in the follow-up of lung lesions treated with radiofrequency ablation. Radiology 2011; 258 (1): 270–276.Google Scholar

114. Singnurkar, A, Solomon, SB, Gonen, M, Larson, SM, Schoder, H. 18F-FDG PET/CT for the prediction and detection of local recurrence after radiofrequency ablation of malignant lung lesions. J Nucl Med 2010; 51 (12): 1833–1840.Google Scholar

115. Mamede, M, Abreu-E-Lima, P, Oliva, MR, Nose, V, Mamon, H, Gerbaudo, VH. FDG-PET/CT tumor segmentation-derived indices of metabolic activity to assess response to neoadjuvant therapy and progression-free survival in esophageal cancer: correlation with histopathology results. Am J Clin Oncol 2007; 30 (4): 377–388.Google Scholar

116. Khan, NA, Baerlocher, MO, Owen, RJ, Ho, S, Kachura, JR, Kee, ST, et al. Ablative technologies in the management of patients with primary and secondary liver cancer: an overview. Can Assoc Radiol J 2010; 61 (4): 217–222. PubMed PMID: 20188510. Epub 2010/03/02. eng.Google Scholar

117. Purandare, NC, Rangarajan, V, Shah, SA, Sharma, AR, Kulkarni, SS, Kulkarni, AV, et al. Therapeutic response to radiofrequency ablation of neoplastic lesions: FDG PET/CT findings. Radiographics 2011; 31 (1): 201–213. PubMed PMID: 21257942.Google Scholar

118. Bao, A, Goins, B, Dodd, GD, Soundararajan, A, Santoyo, C, Otto, RA, et al. Real-time iterative monitoring of radiofrequency ablation tumor therapy with 15O-water PET imaging. J Nucl Med 2008; 49 (10): 1723–1729.Google Scholar

119. Arthur, RM, Straube, WL, Trobaugh, JW, Moros, EG. Non-invasive estimation of hyperthermia temperatures with ultrasound. Int J Hyperthermia 2005; 21 (6): 589–600.Google Scholar

120. Eisenhauer, EA, Therasse, P, Bogaerts, J, et al. New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). Eur J Cancer 2009; 45(19097774): 228–247.Google Scholar

121. Bruix, J, Sherman, M, Llovet, JM, Beaugrand, M, Lencioni, R, Burroughs, AK, et al. Clinical management of hepatocellular carcinoma. Conclusions of the Barcelona-2000 EASL conference. European Association for the Study of the Liver. J Hepatol 2001; 35 (3): 421–430. PubMed PMID: 11592607.Google Scholar

122. Therasse, P, Arbuck, SG, Eisenhauer, EA, Wanders, J, Kaplan, RS, Rubinstein, L, et al. New guidelines to evaluate the response to treatment in solid tumors. European Organization for Research and Treatment of Cancer, National Cancer Institute of the United States, National Cancer Institute of Canada. J Natl Cancer Inst 2000; 92 (3): 205–216.Google Scholar

123. Merkle, EM, Nour, SG, Lewin, JS. MR imaging follow-up after percutaneous radiofrequency ablation of renal cell carcinoma: findings in 18 patients during first 6 months. Radiology 2005; 235 (3): 1065–1071.Google Scholar

124. Suh, RD, Wallace, AB, Sheehan, RE, Heinze, SB, Goldin, JG. Unresectable pulmonary malignancies: CT-guided percutaneous radiofrequency ablation – preliminary results. Radiology 2003; 229 (3): 821–829.Google Scholar

125. Kamel, IR, Bluemke, DA, Eng, J, Liapi, E, Messersmith, W, Reyes, DK, et al. The role of functional MR imaging in the assessment of tumor response after chemoembolization in patients with hepatocellular carcinoma. J Vasc Interv Radiol 2006; 17 (3): 505–512.Google Scholar

126. Chen, C-Y, Li, C-W, Kuo, Y-T, Jaw, T-S, Wu, D-K, Jao, J-C, et al. Early response of hepatocellular carcinoma to transcatheter arterial chemoembolization: choline levels and MR diffusion constants – initial experience. Radiology 2006; 239 (2): 448–456.Google Scholar

127. Okuma, T, Okamura, T, Matsuoka, T, Yamamoto, A, Oyama, Y, Toyoshima, M, et al. Fluorine-18-fluorodeoxyglucose positron emission tomography for assessment of patients with unresectable recurrent or metastatic lung cancers after CT-guided radiofrequency ablation: preliminary results. Ann Nucl Med 2006; 20 (2): 115–121.Google Scholar

128. Okuma, T, Matsuoka, T, Yamamoto, A, Hamamoto, S, Nakamura, K, Inoue, Y. Assessment of early treatment response after CT-guided radiofrequency ablation of unresectable lung tumours by diffusion-weighted MRI: a pilot study. Br J Radiol 2009; 82 (984): 989–994.Google Scholar

129. Okuma, T, Matsuoka, T, Okamura, T, Wada, Y, Yamamoto, A, Oyama, Y, et al. 18F-FDG small-animal PET for monitoring the therapeutic effect of CT-guided radiofrequency ablation on implanted VX2 lung tumors in rabbits. J Nucl Med 2006; 47 (8): 1351–1358.Google Scholar

130. Yamamoto, A, Nakamura, K, Matsuoka, T, Toyoshima, M, Okuma, T, Oyama, Y, et al. Radiofrequency ablation in a porcine lung model: correlation between CT and histopathologic findings. AJR 2005; 185 (5): 1299–1306.Google Scholar

131. Kuehl, H, Antoch, G, Bockisch, A, Forsting, M. Where there is no PET/CT. Eur J Radiol 2008; 67 (2): 372.Google Scholar

132. Donckier, V, Laethem, JL Van, Goldman, S, Gansbeke, D Van, Feron, P, Ickx, B, et al. [F-18] fluorodeoxyglucose positron emission tomography as a tool for early recognition of incomplete tumor destruction after radiofrequency ablation for liver metastases. J Surg Oncol 2003; 84 (4): 215–223.Google Scholar

133. Langenhoff, BS, Oyen, WJG, Jager, GJ, Strijk, SP, Wobbes, T, Corstens, FHM, et al. Efficacy of fluorine-18-deoxyglucose positron emission tomography in detecting tumor recurrence after local ablative therapy for liver metastases: a prospective study. J Clin Oncol 2002; 20 (22): 4453–4458.Google Scholar

134. Wahl, RL, Jacene, H, Kasamon, Y, Lodge, MA. From RECIST to PERCIST: evolving considerations for PET response criteria in solid tumors. J Nucl Med 2009; 50 Suppl 1: 122S–150S. PubMed PMID: 19403881. Pubmed Central PMCID: 2755245.Google Scholar

135. Hoffman, JM, Gambhir, SS. Molecular imaging: the vision and opportunity for radiology in the future. Radiology 2007; 244 (1): 39–47. PubMed PMID: 17507723.Google Scholar

136. Waarde, A Van, Jager, PL, Ishiwata, K, Dierckx, RA, Elsinga, PH. Comparison of sigma-ligands and metabolic PET tracers for differentiating tumor from inflammation. J Nucl Med 2006; 47 (1): 150–154.Google Scholar

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