Image-based 3D modeling and validation of radiofrequency interstitial tumor ablation using a tissue-mimicking breast phantom

International Journal of Computer Assisted Radiology and Surgery

Volumn 7, Issue 6, 2012, Pages 941-948

  Wang, Zhigang ^a   Aarya, Isshaa ^a   Gueorguieva, Mariana ^a   Liu, Dun ^a   Luo, Hongyan ^a   Manfredi, Luigi ^a   Wang, Lijun ^a   McLean, Donald ^a   Coleman, Stuart ^a   Brown, Stuart ^a   Cuschieri, Alfred ^a  

^a UNIVERSITY OF DUNDEE   (United Kingdom)

Author keywords

Cancer treatment; FEM simulation; Image based 3D modeling; Radiofrequency ablation

Indexed keywords

ARTICLE; BREAST CANCER; CLINICAL PROTOCOL; COMPUTER AIDED DESIGN; COMPUTER PROGRAM; DIAGNOSTIC IMAGING; FINITE ELEMENT ANALYSIS; GENERATOR; GREAT BLOOD VESSEL; HIGH INTENSITY FOCUSED ULTRASOUND; HUMAN; IMAGE ANALYSIS; MICROWAVE THERAPY; MINIMALLY INVASIVE PROCEDURE; NUCLEAR MAGNETIC RESONANCE IMAGING; PHANTOM; PRIORITY JOURNAL; RADIATION BEAM; RADIOFREQUENCY ABLATION; THREE DIMENSIONAL IMAGING; TREATMENT PLANNING; TUMOR ABLATION; VALIDATION PROCESS;

EID: 84872170504     PISSN: 18616410     EISSN: 18616429     Source Type: Journal    
DOI: 10.1007/s11548-012-0769-3     Document Type: Article

References (23)

1. Wood BJ, Ramkaransingh JR, Fojo T, Walther MM, Libutti SK (2002) Percutaneous tumor ablation with radiofrequency. Cancer 94:43-451
2. Lau WY, Leung TW, Yu SC, Ho SK (2003) Percutaneous local ablative therapy for hepatocellular carcinoma: A review and look into the future. Ann Surg 237:171-179
3. Morrow M (2009) Minimally invasive surgery for breast cancer. Br Med J 338
4. Fornage BD, Sneige N, Ross MI, Mirza AN, Kuerer HM, Edeiken BS, Ames FC, Newman LA, Babiera GV, Singletary SE (2004) Small (< or = 2-cm) breast cancer treated with US-guided radiofrequency ablation: feasibility study. Radiology 231:215-224
5. Okhunov Z, Roy O, Duty B, Waingankar N, Herati A, Morgenstern N, Sheikh-Fayyaz S, Kavoussi LR (2012) Clinical evaluation of a novel bipolar radiofrequency ablation system for renalmasses. BJU Int
6. Payne S, Flanagan R, Pollari M, Alhonnoro T, Bost C, O'Neill D, Peng T, Stiegler P (2011) Image-based multi-scale modelling and validation of radio-frequency ablation in liver tumours. Philos Trans R Soc A Math Phys Eng Sci 369:4233-4254
7. dos Santos I, Haemmerich D, PinheiroC, daRochaA (2008) Effect of variable heat transfer coefficient on tissue temperature next to a large vessel during radiofrequency tumor ablation. BioMed Eng OnLine 7:21
8. Rieder C, Kroeger T, Schumann C, Hahn HK (2011) GPU-based real-time approximation of the ablation zone for radiofrequency ablation. IEEE Trans Vis Comput Graph 17:1812-1821
9. Tungjitkusolmun S, Staelin ST, Haemmerich D, Jang-Zern T, Hong C, Webster JG, Lee FT Jr, Mahvi DM, Vorperian VR (2002) Three-dimensional finite-element analyses for radiofrequency hepatic tumor ablation. IEEE Trans Biomed Eng 49:3-9 (Pubitemid 34008108)
10. Barauskas R, Gulbinas A, Vanagas T, Barauskas G (2008) Finite elementmodeling of cooled-tip probe radiofrequency ablation processes in liver tissue. Comput Biol Med 38:694-708
11. Datta A, Bansal V, Diaz J, Patel J, Reato D, Bikson M (2009) Gyri-precise head model of transcranial direct current stimulation: improved spatial focality using a ring electrode versus conventional rectangular pad. Brain Stimul 2:201-207, e201
12. Fuentes D, Cardan R, Stafford RJ, Yung J, Dodd GD 3rd, Feng Y (2010) High-fidelity computer models for prospective treatment planning of radiofrequency ablationwith in vitro experimental correlation. J Vasc Interv Radiol 21:1725-1732
13. Bu-Lin Z, Bing H, Sheng-Li K, Huang Y, Rong W, Jia L (2008) A polyacrylamide gel phantom for radiofrequency ablation. Int J Hyperthermia 24:568-576
14. Rossi MA, Stebbins G, Murphy C, Greene D, Brinker S, Sarcu D, Tenharmsel A, Stoub T, Stein MA, Hoeppner TJ, Byrne RW, Moseley ME, Bammer RA, Bild S, Dennis J, Arnett N, Balabanov A, Bergen D, Kanner AM, SmithMC (2010) Predicting white matter targets for direct neurostimulation therapy. Epilepsy Res 91:176-186
15. Haemmerich D,Webster JG (2005) Automatic control of finite element models for temperature-controlled radiofrequency ablation. Biomed Eng Online 4:42
16. Ritz J-P, Lehmann KS, Isbert C, Reissfelder C, Albrecht T, Stein T, Buhr HJ (2006) In-vivo evaluation of a novel bipolar radiofrequency device for interstitial thermotherapy of liver tumors during normal and interrupted hepatic perfusion. J Surg Res 133:176-184
17. Duck FA (1990) Physical properties of tissue: A comprehensive reference book. Academic Press, London
18. Butz T, Warfield S, Tuncali K, Silverman S, van Sonnenberg E, Jolesz F, Kikinis R (2000) Pre- and intra-operative planning and simulation of percutaneous tumor ablation. In: Delp S, DiGoia A, Jaramaz B (eds) Medical image computing and computer-assisted intervention - MICCAI 2000. Springer, Berlin, pp 395-416
19. Häcker A, Vallo S,Weiss C, Grobholz R, Stein T, Knoll T,Michel MS (2006) Bipolar and multipolar radio frequency ablation with resistance controlled power output: standardized ex vivo kidney tissue evaluation. J Urol 175:1122-1126
20. Stoffner R, Kremser C, Schullian P, Haidu M, Widmann G, Bale RJ (2012) Multipolar radiofrequency ablation using 4-6 applicators simultaneously: A study in the ex vivo bovine liver. Eur JRadiol
21. Patterson EJ, Scudamore CH, Owen DA, Nagy AG, Buczkowski AK (1998) Radiofrequency ablation of porcine liver in vivo: effects of blood flow and treatment time on lesion size. Ann Surg 227:559-565
22. Zlotta AR, Wildschutz T, Raviv G, Peny MO, van Gansbeke D, Noel JC, Schulman CC (1997) Radiofrequency interstitial tumor ablation (RITA) is a possible new modality for treatment of renal cancer: ex vivo and in vivo experience. J Endourol 11:251-258
23. Cha J, Choi D, LeeMW, Rhim H, KimYS, LimHK,Yoon JH, Park CK (2009) Radiofrequency ablation zones in ex vivo bovine and in vivo porcine livers: comparison of the use of internally cooled electrodes and internally cooled wet electrodes. Cardiovasc Intervent Radiol 32:1235-1240