Potential use of ultrasound for the detection of cell changes in cancer treatment

Future Oncology

Volumn 5, Issue 10, 2009, Pages 1527-1532

  Kolios, Michael C ^a,b   Czarnota, Gregory J ^c,d  

^a RYERSON UNIVERSITY   (Canada)

^b UNIVERSITY OF TORONTO   (Canada)

^c UNIVERSITY OF TORONTO   (Canada)

^d SUNNYBROOK RESEARCH INSTITUTE   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CETUXIMAB; FLUORODEOXYGLUCOSE F 18; LIPOCORTIN 5; TRASTUZUMAB;

APOPTOSIS; BREAST CANCER; CELL DEATH; COLORECTAL CARCINOMA; COST EFFECTIVENESS ANALYSIS; DIAGNOSTIC IMAGING; DIAGNOSTIC VALUE; ECHOGRAPHY; EDITORIAL; FIBROADENOMA; HEAD AND NECK CANCER; HUMAN; MALIGNANT NEOPLASTIC DISEASE; OUTCOME ASSESSMENT; PHENOTYPE; POSITRON EMISSION TOMOGRAPHY; PRIORITY JOURNAL; SINGLE PHOTON EMISSION COMPUTER TOMOGRAPHY; SQUAMOUS CELL CARCINOMA; TREATMENT RESPONSE;

ANIMALS; APOPTOSIS; HUMANS; NEOPLASMS; ULTRASONOGRAPHY;

EID: 75149180643     PISSN: 14796694     EISSN: 17448301     Source Type: Journal    
DOI: 10.2217/fon.09.157     Document Type: Editorial

References (34)

1. Thrall JH: Personalized medicine. Radiology 231(3), 613-616 (2004).
2. Adams CP, Brantner VV: Estimating the cost of new drug development: is it really 802 million dollars? Health Aff. (Millwood)25(2), 420-428 (2006).
3. Brindle K: New approaches for imaging tumor responses to treatment. Nat. Rev. Cancer 8(2), 94-107 (2008).
4. Belhocine T, Steinmetz N, Li C, Green A, Blankenberg FG: The imaging of apoptosis with the radiolabeled annexin v: optimal timing for clinical feasibility. Technol. Cancer Res. Treat. 3(1), 23-32 (2004).
5. Van De Wiele C, Lahorte C, Vermeersch H et al.: Quantitative tumor apoptosis imaging using technetium-99m-hynic annexin v single photon emission computed tomography. J. Clin. Oncol. 21(18), 3483-3487 (2003).
6. Belhocine TZ, Blankenberg FG: 99mtcannexin a5 uptake and imaging to monitor chemosensitivity. Methods Mol. Med. 111, 363-380 (2005).
7. Kostakoglu L, Goldsmith SJ: PET in the assessment of therapy response in patients with carcinoma of the head and neck and of the esophagus. J. Nucl. Med. 45(1), 56-68 (2004).
8. Li S, Beheshti M: The radionuclide molecular imaging and therapy of neuroendocrine tumors. Curr. Cancer Drug Targets 5(2), 139-148 (2005).
9. Sherar MD, Noss MB, Foster FS: Ultrasound backscatter microscopy images the internal structure of living tumor spheroids. Nature 330(6147), 493-495 (1987).
10. Berube LR, Harasiewicz K, Foster FS, Dobrowsky E, Sherar MD, Rauth AM: Use of a high frequency ultrasound microscope to image the action of 2-nitroimidazoles in multicellular spheroids. Br. J. Cancer 65(5), 633-640 (1992).
11. Czarnota GJ, Kolios MC, Vaziri H et al.: Ultrasonic biomicroscopy of viable, dead and apoptotic cells. Ultrasound Med. Biol. 23(6), 961-965 (1997).
12. Czarnota GJ, Kolios MC, Abraham J, Portnoy M, Ottensmeyer FP, Hunt JW, Sherar MD: Ultrasound imaging of apoptosis: high-resolution non-invasive monitoring of programmed cell death in vitro, in situ and in vivo. Br. J. Cancer 81(3), 520-527 (1999).
13. Tunis AS, Czarnota GJ, Giles A, Sherar MD, Hunt JW, Kolios MC: Monitoring structural changes in cells with high frequency ultrasound signal statistics. Ultrasound Med. Biol. 31(8), 1041-1049 (2005).
14. Banihashemi B, Vlad R, Debeljevic B, Giles A, Kolios MC, Czarnota GJ: Ultrasound imaging of apoptosis in tumor response: Novel preclinical monitoring of photodynamic therapy effects. Cancer Res. 68(20), 8590-8596 (2008).
15. Vlad RM, Brand S, Giles A, Kolios MC, Czarnota GJ: Quantitative ultrasound characterization of responses to radiotherapy in cancer mouse models. Clin. Cancer Res. 15(6), 2067-2075 (2009).
16. Wallace KD, Marsh JN, Baldwin SL et al.: Sensitive ultrasonic delineation of steroid treatment in living dystrophic mice with energy-based and entropy-based radio frequency signal processing. IEEE Trans. Ultrason. Ferroelectr. Freq. Control 54(11), 2291-2299 (2007).
17. Hughes MS, Mccarthy JE, Marsh JN et al.: Properties of an entropy-based signal receiver with an application to ultrasonic molecular imaging. J. Acoust. Soc. Am. 121(6), 3542-3557 (2007).
18. Kolios MC, Czarnota GJ, Lee M, Hunt JW, Sherar MD: Ultrasonic spectral parameter characterization of apoptosis. Ultrasound Med. Biol. 28(5), 589-597 (2002).
19. Vlad RM, Alajez NM, Giles A, Kolios MC, Czarnota GJ: Quantitative ultrasound characterization of cancer radiotherapy effects in vitro. Int. J. Radiat. Oncol. Biol. Phys. 72(4), 1236-1243 (2008).
20. Lizzi FL, Greenebaum M, Feleppa EJ, Elbaum M, Coleman DJ: Theoretical framework for spectrum ana lysis in ultrasonic tissue characterization. J. Acoust. Soc. Am. 73(4), 1366-1373 (1983).
21. Lizzi FL, Feleppa EJ, Astor M, Kalisz A: Statistics of ultrasonic spectral parameters for prostate and liver examinations. IEEE Trans. Ultrason. Ferroelectr. Freq. Control 44(4), 935-942 (1997).
22. Vlad RM: Quantitative ultrasound characterization of responses to radiotherapy in vitro and in vivo. Medical Biophysics, University of Toronto, Canada (2009) (Thesis).
23. Bigelow TA, O'Brien WD Jr: Impact of local attenuation approximations when estimating correlation length from backscattered ultrasound echoes. J. Acoust. Soc. Am. 120(1), 546-553 (2006).
24. Bigelow TA, Oelze ML, O'Brien WD Jr: Estimation of total attenuation and scatterer size from backscattered ultrasound waveforms. J. Acoust. Soc. Am. 117(3 Pt 1), 1431-1439 (2005).
25. Oelze ML, O'Brien WD Jr, Blue JP, Zachary JF: Differentiation and characterization of rat mammary fibroadenomas and 4t1 mouse carcinomas using quantitative ultrasound imaging. IEEE Trans. Med. Imaging 23(6), 764-771 (2004).
26. Konig A, Margolis MP, Virmani R, Holmes D, Klauss V: Technology insight: in vivo coronary plaque classification by intravascular ultrasonography radiofrequency ana lysis. Nat. Clin. Pract. Cardiovasc. Med. 5(4), 219-229 (2008).
27. Kerbel RS: Human tumor xenografts as predictive preclinical models for anticancer drug activity in humans: better than commonly perceived-but they can be improved. Cancer Biol. Ther. 2(4 Suppl. 1), S134-S139 (2003).
28. Garber K: Realistic rodents? Debate grows over new mouse models of cancer. J. Natl Cancer Inst. 98(17), 1176-1178 (2006).
29. Hunt JW, Worthington AE, Xuan A, Kolios MC, Czarnota GJ, Sherar MD: A model based upon pseudo regular spacing of cells combined with the randomisation of the nuclei can explain the significant changes in high-frequency ultrasound signals during apoptosis. Ultrasound Med. Biol. 28(2), 217-226 (2002).
30. Hunt JW, Worthington AE, Kerr AT: The subtleties of ultrasound images of an ensemble of cells: simulation from regular and more random distributions of scatterers. Ultrasound Med. Biol. 21(3), 329-341 (1995).
31. Mo LY, Cobbold RS: A unified approach to modeling the backscattered Doppler ultrasound from blood. IEEE Trans. Biomed. Eng. 39(5), 450-461 (1992).
32. Mo LY, Kuo IY, Shung KK, Ceresne L, Cobbold RS: Ultrasound scattering from blood with hematocrits up to 100%. IEEE Trans. Biomed. Eng. 41(1), 91-95 (1994).
33. General Electric Reports: Vscan pocket-sized, ultra-smart ultrasound unveiled www.gereports.com/vscan-pocket-sized-ultrasmart-ultrasound-unveiled/ (Accessed 1 November, 2009)
34. Washington University (MO, USA): Ultrasound imaging now possible with a smartphone http://news-info.wustl.edu/tips/page/ normal/13928.html (Accessed 1 November, 2009)