Chemotherapy in Locally Advanced Breast Cancer Patients Receiving Quantitative Ultrasound Evaluation of Tumor Cell Death Response

Purpose: Quantitative ultrasound techniques have been recently shown to be capable of detecting cell death through studies conducted on in vitro and in vivomodels. This study investigates for the first time the potential of early detection of tumor cell death in response to clinical cancer therapy administration in patients using quantitative ultrasound spectroscopic methods. Experimental Design: Patients (n 1⁄4 24) with locally advanced breast cancer received neoadjuvant chemotherapy treatments. Ultrasound data were collected before treatment onset and at 4 times during treatment (weeks 1, 4, and 8, and preoperatively). Quantitative ultrasound parameters were evaluated for clinically responsive and nonresponding patients. Results: Results indicated that quantitative ultrasound parameters showed significant changes for patients who responded to treatment, and no similar alteration was observed in treatment-refractory patients. Suchdifferences between clinically andpathologically determined responding andnonresponding patients were statistically significant (P < 0.05) after 4 weeks of chemotherapy. Responding patients showed changes in parameters related to cell deathwith, on average, an increase inmid-bandfit and0-MHz intercept of 9.1 1.2 dBr and 8.9 1.9 dBr, respectively, whereas spectral slope was invariant. Linear discriminant analysis revealed a sensitivity of 100% and a specificity of 83.3% for distinguishing nonresponding patients by the fourth week into a course of chemotherapy lasting several months. Conclusion: This study reports for the first time that quantitative ultrasound spectroscopic methods can be applied clinically to evaluate cancer treatment responses noninvasively. The results form a basis for monitoring chemotherapy effects and facilitating the personalization of cancer treatment. Clin Cancer Res; 19(8); 2163–74. 2013 AACR.

[1]  Hany Soliman,et al.  Diffuse optical spectroscopy evaluation of treatment response in women with locally advanced breast cancer receiving neoadjuvant chemotherapy. , 2012, Translational oncology.

[2]  Martin J. Yaffe,et al.  Imaging innovations for cancer therapy response monitoring , 2012 .

[3]  M. Yaffe,et al.  Functional Imaging Using Diffuse Optical Spectroscopy of Neoadjuvant Chemotherapy Response in Women with Locally Advanced Breast Cancer , 2010, Clinical Cancer Research.

[4]  Michael C. Kolios,et al.  Quantitative Ultrasound Characterization of Responses to Radiotherapy in Cancer Mouse Models , 2009, Clinical Cancer Research.

[5]  Michael C. Kolios,et al.  Quantitative ultrasound characterization of cancer radiotherapy effects in vitro. , 2008, International journal of radiation oncology, biology, physics.

[6]  Michael C. Kolios,et al.  Ultrasound imaging of apoptosis in tumor response: novel preclinical monitoring of photodynamic therapy effects. , 2008, Cancer research.

[7]  Kevin Brindle,et al.  New approaches for imaging tumour responses to treatment , 2008, Nature Reviews Cancer.

[8]  Mark R Holland,et al.  Characterization of Anisotropic Myocardial Backscatter Using Spectral Slope, Intercept and Midband Fit Parameters , 2007, Ultrasonic imaging.

[9]  Michael C. Kolios,et al.  Ultrasonic characterization of whole cells and isolated nuclei. , 2007, Ultrasound in medicine & biology.

[10]  M J Yaffe,et al.  Whole‐specimen histopathology: a method to produce whole‐mount breast serial sections for 3‐D digital histopathology imaging , 2007, Histopathology.

[11]  J W Hunt,et al.  Monitoring structural changes in cells with high-frequency ultrasound signal statistics. , 2005, Ultrasound in medicine & biology.

[12]  William D. O'Brien,et al.  Differentiation and characterization of rat mammary fibroadenomas and 4T1 mouse carcinomas using quantitative ultrasound imaging , 2004, IEEE Transactions on Medical Imaging.

[13]  S. Giordano,et al.  Update on locally advanced breast cancer. , 2003, The oncologist.

[14]  S. Harms,et al.  Assessment of Proliferating Cell Nuclear Antigen Activity Using Digital Image Analysis in Breast Carcinoma Following Magnetic Resonance‐Guided Interstitial Laser Photocoagulation , 2003, The breast journal.

[15]  William D O'Brien,et al.  Method of improved scatterer size estimation and application to parametric imaging using ultrasound. , 2002, The Journal of the Acoustical Society of America.

[16]  Michael C. Kolios,et al.  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. , 2002, Ultrasound in medicine & biology.

[17]  Michael C. Kolios,et al.  Analysis of ultrasound backscatter from ensembles of cells and isolated nuclei , 2001, 2001 IEEE Ultrasonics Symposium. Proceedings. An International Symposium (Cat. No.01CH37263).

[18]  M Van Glabbeke,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. , 2000, Journal of the National Cancer Institute.

[19]  J W Hunt,et al.  © 1999 Cancer Research Campaign Article no. bjoc.1999.0724 Ultrasound imaging of apoptosis: high-resolution noninvasive , 2022 .

[20]  D. Mankoff,et al.  Monitoring the response of patients with locally advanced breast carcinoma to neoadjuvant chemotherapy using [technetium 99m]‐sestamibi scintimammography , 1999, Cancer.

[21]  E. Madsen,et al.  Nonlinearity parameter for tissue-mimicking materials. , 1999, Ultrasound in medicine & biology.

[22]  Michael C. Kolios,et al.  Ultrasonic biomicroscopy of viable, dead and apoptotic cells. , 1997, Ultrasound in medicine & biology.

[23]  Ronald H. Silverman,et al.  Ultrasonic spectrum analysis for tissue assays and therapy evaluation , 1997, Int. J. Imaging Syst. Technol..

[24]  V. Reuter,et al.  Typing of prostate tissue by ultrasonic spectrum analysis , 1996, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[25]  G. Hortobagyi,et al.  Advanced primary breast cancer: assessment at mammography of response to induction chemotherapy. , 1988, Radiology.

[26]  E. Feleppa,et al.  Relationship of Ultrasonic Spectral Parameters to Features of Tissue Microstructure , 1987, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[27]  E J Feleppa,et al.  Diagnostic spectrum analysis in ophthalmology: a physical perspective. , 1986, Ultrasound in medicine & biology.

[28]  E. Feleppa,et al.  Theoretical framework for spectrum analysis in ultrasonic tissue characterization. , 1983, The Journal of the Acoustical Society of America.

[29]  John William Strutt,et al.  Investigation of the Disturbance produced by a Spherical Obstacle on the Waves of Sound , 1871 .