Ultrasound monitoring of temperature and coagulation change during tumor

Abstract

Microwave ablation therapy has become an important method for tumor treatment in recent years. The temperature and the coagulation region need real-time noninvasive monitoring to ensure the safety and effectiveness during the treatment. The authors reviewed the ultrasonic monitoring methods for tumor microwave ablation therapy both at home and abroad. In addition, the authors also prospected this technique in the future.

Key words： microwave ablation; temperature; coagulation; ultrasound monitor

Acknowledgements

The work was supported by the National Natural Science Foundation of China (Grant No. 30770547).

References

1 Amini A N, Ebbini E S, Georgiou T T (2005). Noninvasive estimation of tissue temperature via high-resolution spectral analysis techniques. IEEE Transactions on Biomedical Engineering, 52(2): 221-228

2 Anand A, Savery D, Hall C (2007). Three-dimensional spatial and temporal temperature imaging in gel phantoms using backscattered ultrasound. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, 54(1): 23-31

3 Arthur R M, Straube W L, Starman J D, Moros E G (2003). Noninvasive temperature estimation based on the energy of backscattered ultrasound. Medical Physics, 30(6): 1021-1029

4 Arthur R M, Straube W L, Trobaugh J W, Moros E G (2005a). Non-invasive estimation of hyperthermia temperatures with ultrasound. International Journal of Hyperthermia, 21(6): 589-600

5 Arthur R M, Trobaugh J W, Straube W L, Moros E G (2005b). Temperature dependence of ultrasonic backscattered energy in motion-compensated images. IEEE Transactions on Ultrasonics Ferroelectics and Frequency Control, 52(10): 1644-1652

6 Balen F G, Allen C M, Lees W R (1994). Ultrasound contrast agents. Clinical Radiology, 49(2): 77-82

7 Bharat S, Techavipoo U, Kiss M Z, Liu W, Varghese T (2005). Monitoring Stiffness changes in lesions after radiofrequency ablation at different temperatures and durations of ablation. Ultrasound in Medicine and Biology, 31(3): 415-422

8 Cao X L, Lu M, Ran H T, Pu S Y, Xie Z P (2003). Study of Ultrasonic Integrated Backscatter in Patients with Hepatic Fibrosis. Journal of Clinical Ultrasound in Medicine, 5(4): 220-222 (in Chinese)

9 Guiot C, Cavalli R, Gaglioti P, Danelon D, Musacchio C, Trotta M, Todros T (2004). Temperature monitoring using ultrasound contrast agents: in vitro investigation on thermal stability. Ultrasonics, 42: 927-930

10 Huang C C, Sun L, Dailey S H, Wang S H, Shung K K (2007). High frequency ultrasonic characterization of human vocal fold tissue. Journal of the Acoustical Society of America, 122(3): 1827-1832

11 Kennnedy J E, ter Haar G R, Wu F, Gleeson F V, Roberts I S, Middleton M R, Cranston D (2004). Contrast-enhanced ultrasound assessment of tissue response to high-intensity focused ultrasound. Ultrasound in Medicine and Biology, 30(6): 851-854

12 King R L, Clement G T, Maruvada S, Hynynen K (2003). Preliminary results using ultrasound transmission for image-guided thermal therapy. Ultrasound in Medicine and Biology, 29(2): 293-299

13 Konofagou E E, Sokka S, Thierman J, Hynynen K (2002). Temporal and spatial monitoring of temperature-related tissue changes using focused ultrasound phased arrays. IEEE Ultrasonics Symposium, 2: 1361-1364

14 Lai D, Rao N, Kuo C H, Bhatt S, Dogra V (2007). Independent component analysis applied to ultrasound speckle texture analysis and tissue characterization. In: Proceedings of the 29th Annual International Conference of the IEEE EMBS Cite Internationale, Lyon, France, Aug 23-26, 2007, Piscataway: IEEE, 6523-6526

15 Li H Y, Dong C F, Huang T, Wang Z G, Liu J C (2005). Study on liver fibrosis of chronic hepatitis B with ultrasound tissue characterization. Chinese Journal of Ultrasonography, 14(7): 524-525 (in Chinese)

16 Li X, Wang Y F (2002). Progress of ultrasonic tissue characterization and its clinical application. Chinese Journal of Medical Imaging Technology, 18 (11): 1203-1204 (in Chinese)

17 Liang P (2006). Technique progress of microwave ablation treatment of ultrasound-guided. World Journal of Medical Instrumentation, 12(4): 20-23 (in Chinese)

18 Liu D, Xu Z Y, Xia R M, Shou W D, Qian D C (2007). Temperature characteristic of acoustic parameter in porcine liver in vitro. Technical Acoustics, 26 (1): 62-65 (in Chinese)

19 Maleke C, Konofagou E E (2006). An all-ultrasound-based system for real-time monitoring and sonication of temperature change and ablation. In: Proceedings of the 28th IEEE EMBS Annual International Conference New York City, USA, Aug 30-Sept 3, 2006. Piscataway: IEEE, 164-167

20 Mehdi M, Parvin M, Purang A (2007). Tissue characterization using fractal dimension of high frequency ultrasound RF time series. In: Ayache N, Ourselin S, Maeder A, eds. Medical Image Computing and Computer-Assisted Intervention-MICCAI 2007. Lecture Notes in Computer Science, Vol 4792. Berlin: Springer-Verlag, 900-908

21 Mi X B, Zhang S Y, Zhang J J, Yang Y T (2003). Automatic Ultrasonic Thermometry. Journal of Nanjing University(Natural Sciences), 39(4): 517-524 (in Chinese)

22 Miller N R, Bograchev K M, Bamber J C (2005). Ultrasonic temperature imaging for guiding focused ultrasound surgery: effect of angle between imaging beam and therapy beam. Ultrasound in Medicine and Biology, 31(3): 401-413

23 Parmar N, Kolios M C (2004). Attenuation mapping for monitoring thermal therapy using ultrasound transmission imaging. In: Proceedings of the 26th Annual International Conference of the IEEE EMBS. Piscataway: IEEE, 1329-1332

24 Pousek L, Jelinek M, Storkova B, Novak P (2006). Noninvasive temperature monitoring using ultrasound tissue characterization method. In: Proceedings of the 28th International Conference on Information Technology Interfaces ITI 2006, June 19-22, 2006. Cavtat, Croatia. Zagreb: University of Zagreb, 219-224

25 Pousek L, Schreib P, Capek M (2003). Hyperthermia ultrasound temperature monitoring (clinical case study). In: Proceedings of the IASTED International Conference Biomedical Engineering. Anaheim: ACTA, 216-218

26 Qian Z W, Xiong L L, Yu J S, Shao D Y, Zhu H Q, Wu X D (2006). Noninvasive thermometer for HIFU and its scaling. Ultrasonics, 44(Suppl 1): 31-35

27 Ren X Y, Wu S C, Han J, Zeng Y (2006). Temperature correlation of backscattered ultrasound time-shifts and noninvasive temperature measurement in tissue. Chinese Journal of Biomedical Engineering, 25(3): 328-332 (in Chinese)

28 Saijo Y, Santos Filho E, Sasaki H, Yambe T, Tanaka M, Hozumi N, Kobayashi K, Okada N (2007). Ultrasonic tissue characterization of atherosclerosis by a speed-of-sound microscanning system. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 54(8): 1571-1577

29 Seo J, Tran B C, Hall T L, Fowlkes J B, Abrams G D, O’Donnell M, Cain C A (2005). Evaluation of ultrasound tissue damage based on changes in image echogenicity in canine kidney. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 52(7): 1111-1120

30 Souchon R, Bouchoux G, Maciejko E, Lafon C, Cathignol D, Bertrand M, Chapelon J Y (2005). Monitoring the formation of thermal lesions with heat-induced echo-strain imaging: a feasibility study. Ultrasound in Medicine and Biology, 31(2): 251-259

31 Wang Z G (2001). Ultrasonic tissue characterization: Clinical application progress of radio frequency method and video frequency method. Journal of Clinical Ultrasound In Medicine, 3(Suppl): 11-13 (in Chinese)

32 Wu J, He C, Zhao X Y, Zhu Y Z (2007). Realization of texture characteristic analysis algorithm based on ultra-sonic medical image. Journal of Biomedical Engineering Research, 2: 166-169 (in Chinese)

33 Wu S C, Ren X Y, Chang Y, Bai Y P (2006). A study on the temperature correlation of B-mode ultrasonic image gray scale for noninvasive temperature monitoring in hyperthermia. Chinese Journal of Biomedical Engineering (English Edition), 15(1): 26-30

34 Wu S C, Xia Y Q, Bai Y P, Nan Q, Peng J S (2002). Study on noninvasive temperature measurement in biological media using ultrasonic nonlinear parameter B/A. Chinese Journal of Biomedical Engineering (English Edition), 11(3):119-124

35 Xie J H, Yuan B, Zhao X X, Jiao J Z, Li C Y, Li X (2004). Tissue characterization of normal adult liver by ultrasonic integrated backscatter. Medical Journal of National Defending Forces in Northwest China, 25(2): 109-111 (in Chinese)

36 Xu T, Ye Z Q, Cai W M (2006). Texture analysis methods used in B-scan liver images. International Journal of Biomedical Engineering, 29(4): 228-230 (in Chinese)

37 Yao H, Phukpattaranont P, Ebbini E S (2001). Enhanced lesion visualization in image-guided noninvasive surgery with ultrasound phased arrays. In: Proceedings of the 23rd Annual EMBS International Conference. Piscataway: IEEE, 2492-2495

38 Yeh W C, Huang S W, Li P C (2003). Liver fibrosis grade classification with B-mode ultrasound. Ultrasound in Medicine and Biology, 29(9): 1229-1235

39 Zang F B, Gao X J, Wen Y Y (2002). Study of applications using ultrasonic integrated backscatter of liver for patients with liver cirrhosis. Chinese Journal of Uitrasonography, 11(9): 566 (in Chinese)

40 Zhang S, Yang W, Yang R Q, Ye B, Chen L, Ma W Y, Chen Y Z (2006). Noninvasive temperature monitoring in a wide range based on textures of ultrasound images. In: Yang G Z, Jiang T Z, Shen D G, Gu L X, Yang J, eds. Medical Imaging and Augmented Reality. Lecture Notes in Computer Science, Vol 4091. Berlin: Springer-Verlag, 100-107

41 Zhong H, Wan M X, Jiang Y F, Wang S P (2007). Monitoring imaging of lesions induced by high intensity focused ultrasound based on diffetential ultrasonic attenuation and integrated backscatter estimation. Ultrasound in Medicine and Biology, 33(1): 82-94