Quantitative Ultrasound Characterization of Cancer Radiotherapy Effects In Vitro

Vlad, Raluca Maria; Alajez, Nehad M.; Giles, Anoja; Kolios, Michael C.; Czarnota, Gregory J.

doi:10.1016/j.ijrobp.2008.07.027

Cited by 81 publications

(98 citation statements)

References 28 publications

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“…The previous studies include those investigations where apoptosis was induced in cells and normal tissues using a variety of modalities and were analyzed using ultrasound data (7)(8)(9)(10)(11)(12)(13)(14). It was shown that nuclear condensation by the induction of apoptotic death can result in increases in ultrasonic backscatter signal intensity, which is consistent with observations in this study.…”

Section: Discussionsupporting

confidence: 87%

“…Ultrasound radiofrequency data analysis was conducted using linear regression analysis of the normalized power spectrum (7)(8)(9)(10)(11)(12)(13)(14)(15)(17)(18)(19)(20). Ultrasound data was analyzed across all acquired planes through the scan volume which included identifiable tumor regions.…”

Section: Discussionmentioning

confidence: 99%

“…Research into the potential of ultrasound to monitor noninvasively the effects of cancer therapy administration was initially conducted using high-frequency ultrasound and showed its capacity to detect changes in tissue microstructure associated with a variety of cancer therapies in in vitro, in situ, and in vivo models (7)(8)(9)(10)(11)(12)(13)(14). Initial in vitro observations indicated increases in tissue echogenicity in acute myeloid leukemia cells exposed to the chemotherapeutic agent cisplatin (7,8).…”

Section: Introductionmentioning

confidence: 99%

“…Further research used quantitative ultrasound techniques such as spectroscopic analysis of radiofrequency data and statistical analysis of the signal envelope to quantify the effects of treatment in a variety of concentration and exposure-dependent experiments (9,10). To date, high-frequency ultrasound has been used to detect apoptotic cell death resulting from photodynamic, X-ray radiation, and ultrasonically activated antivascular microbubble therapies in a variety of in vivo mouse models (12)(13)(14). These studies showed up to 16-fold maximal increases in observed backscatter signal intensity accompanied by increases in spectral parameters such as spectral slope, 0-MHz intercept, and mid-band fit (MBF) quantitative parameters which can be related to effective scatterer size, acoustic concentration, and both, respectively (15,16).…”

Section: Introductionmentioning

confidence: 99%

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

Sadeghi‐Naini

Papanicolau

Falou

et al. 2013

Clinical Cancer Research

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115

114

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Purpose: Quantitative ultrasound techniques have been recently shown to be capable of detecting cell death through studies conducted on in vitro and in vivo models. 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 ¼ 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. Such differences between clinically and pathologically determined responding and nonresponding patients were statistically significant (P < 0.05) after 4 weeks of chemotherapy. Responding patients showed changes in parameters related to cell death with, on average, an increase in mid-band fit and 0-MHz intercept of 9.1 AE 1.2 dBr and 8.9 AE 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.

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Section: Discussionsupporting

confidence: 87%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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

Sadeghi‐Naini

Papanicolau

Falou

et al. 2013

Clinical Cancer Research

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115

114

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“…This approach has been successfully used for the characterization of the eye, 1,2 liver, 3 kidney, 4 prostate, 5 breast tissues 6 and also to monitor cell apoptosis in order to evaluate the efficacy of cancer therapies. 7 Blood has also been characterized by employing this technique. 8 The main purpose of ultrasonic characterization of blood is to assess the level of red blood cell (RBC) aggregation, which is a surrogate marker of inflammation.…”

Section: Introductionmentioning

confidence: 99%

Assessment of accuracy of the structure-factor-size-estimator method in determining red blood cell aggregate size from ultrasound spectral backscatter coefficient

Saha

Franceschini

Cloutier

2011

The Journal of the Acoustical Society of America

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A computer simulation study to produce ultrasonic backscatter coefficients (BSCs) from red blood cell (RBC) clusters is discussed. The simulation algorithm is suitable for generating non-overlapping, isotropic, and fairly identical RBC clusters. RBCs were stacked following the hexagonal close packing (HCP) structure to form a compact spherical aggregate. Such an aggregate was repeated and placed randomly under non-overlapping condition in the three-dimensional space to mimic an aggregated blood sample. BSCs were computed between 750 KHz and 200 MHz for samples of various cluster sizes at different hematocrits. Magnitudes of BSCs increased with mean aggregate sizes at low frequencies (<20 MHz). The accuracy of the structure-factor-size-estimator (SFSE) method in determining mean aggregate size and packing factor was also examined. A good correlation (R 2 ! 0.94) between the mean size of aggregates predicted by the SFSE and true size was found for each hematocrit. This study shows that for spherical aggregates there exists a region for each hematocrit where SFSE works most accurately. Typically, error of SFSE in estimating mean cluster size was <20% for dimensions between 14 and 17 lm at 40% hematocrit. This study suggests that the theoretical framework of SFSE is valid under the assumption of isotropic aggregates.

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Noninvasive Evaluation of Breast Tumor Response to Combined Ultrasound‐Stimulated Microbubbles and Hyperthermia Therapy Using Quantitative Ultrasound‐Based Texture Analysis Method

Sharma,

Sannachi,

Osapoetra

et al. 2023

J of Ultrasound Medicine

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ObjectivesQuantitative ultrasound (QUS) is a noninvasive imaging technique that can be used for assessing response to anticancer treatment. In the present study, tumor cell death response to the ultrasound‐stimulated microbubbles (USMB) and hyperthermia (HT) treatment was monitored in vivo using QUS.MethodsHuman breast cancer cell lines (MDA‐MB‐231) were grown in mice and were treated with HT (10, 30, 50, and 60 minutes) alone, or in combination with USMB. Treatment effects were examined using QUS with a center frequency of 25 MHz (bandwidth range: 16 to 32 MHz). Backscattered radiofrequency (RF) data were acquired from tumors subjected to treatment. Ultrasound parameters such as average acoustic concentration (AAC) and average scatterer diameter (ASD), were estimated 24 hours prior and posttreatment. Additionally, texture features: contrast (CON), correlation (COR), energy (ENE), and homogeneity (HOM) were extracted from QUS parametric maps. All estimated parameters were compared with histopathological findings.ResultsThe findings of our study demonstrated a significant increase in QUS parameters in both treatment conditions: HT alone (starting from 30 minutes of heat exposure) and combined treatment of HT plus USMB finally reaching a maximum at 50 minutes of heat exposure. Increase in AAC for 50 minutes HT alone and USMB +50 minutes was found to be 5.19 ± 0.417% and 5.91 ± 1.11%, respectively, compared to the control group with AAC value of 1.00 ± 0.44%. Furthermore, between the treatment groups, ΔASD‐ENE values for USMB +30 minutes HT significantly reduced, depicting 0.00062 ± 0.00096% compared to 30 minutes HT only group, showing 0.0058 ± 0.0013%. Further, results obtained from the histological analysis indicated greater cell death and reduced nucleus size in both HT alone and HT combined with USMB.ConclusionThe texture‐based QUS parameters indicated a correlation with microstructural changes obtained from histological data. This work demonstrated the use of QUS to detect HT treatment effects in breast cancer tumors in vivo.

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Quantitative Ultrasound Characterization of Cancer Radiotherapy Effects In Vitro

Cited by 81 publications

References 28 publications

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

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

Assessment of accuracy of the structure-factor-size-estimator method in determining red blood cell aggregate size from ultrasound spectral backscatter coefficient

Noninvasive Evaluation of Breast Tumor Response to Combined Ultrasound‐Stimulated Microbubbles and Hyperthermia Therapy Using Quantitative Ultrasound‐Based Texture Analysis Method

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