High-frequency ultrasound detection of cell death: Spectral differentiation of different forms of cell death in vitro

Pasternak, Maurice; Sadeghi‐Naini, Ali; Ranieri, Shawn; Giles, Anoja; Oelze, Michael L.; Kolios, Michael C.; Czarnota, Gregory J.

doi:10.18632/oncoscience.319

Cited by 14 publications

(10 citation statements)

References 65 publications

(105 reference statements)

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“…It seemed that under conditions of oxidative stress such as ours, NO and peroxynitrites affected cell movement by changing the structure of cytoskeletal proteins through S‐nitrosylation of their thiol groups [Ascenzi et al, ]. The reduction in cell size and reorganization of cytoskeletal proteins also established an initial change for stem cell differentiation [Pasternak et al, ].…”

Section: Discussionmentioning

confidence: 99%

Stable morphological–physiological and neural protein expression changes in rat bone marrow mesenchymal stem cells treated with electromagnetic field and nitric oxide

Haghighat

Abdolmaleki

Behmanesh

et al. 2017

Bioelectromagnetics

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As an external physical factor, electromagnetic field (EMF) may influence cellular processes and nitric oxide (NO) by serving as a secondary messenger molecule in intracellular signaling cascades. Effects of these factors were evaluated simultaneously on viability, morphology, and variation of calcium ion content, and neural protein marker expression in rat bone marrow mesenchymal stem cells (BMSCs). The mesenchymal stem cells were isolated from rat bone marrow and cultured. Deta-NO as a donor molecule of NO was added to cell culture medium after several passages. These cells were also exposed by retinoic acid (RA, a molecule inducing cell differentiation) and EMF (50 Hz and 20 mT). Despite the effect observed with low concentration of NO, the high concentration of NO in the presence of EMF decreased cell viability and changed cell morphology. EMF increased entry of calcium ion into the cell. Effect of RA on cell death and morphology changes also intensified in the presence of NO and EMF. BMSCs maintained their proliferative state and continued to remain as a stem cell in low concentration of NO. The decrease of cell viability, and increase in number and length of cell neurites and percentage of cells expressing Map2 marker can be a sign of progression for cell neuronal differentiation treated by high concentration of NO with EMF. Bioelectromagnetics. 38:592-601, 2017. © 2017 Wiley Periodicals, Inc.

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Section: Discussionmentioning

confidence: 99%

Stable morphological–physiological and neural protein expression changes in rat bone marrow mesenchymal stem cells treated with electromagnetic field and nitric oxide

Haghighat

Abdolmaleki

Behmanesh

et al. 2017

Bioelectromagnetics

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“…In the past, it has been demonstrated in preclinical studies that QUS can evaluate cell death in response to different treatment modalities [ 33 , 34 ]. The intracellular mechanisms resulting in phenotypical cell changes differ according to the mode of cell death.…”

Section: Discussionmentioning

confidence: 99%

Early Changes in Quantitative Ultrasound Imaging Parameters during Neoadjuvant Chemotherapy to Predict Recurrence in Patients with Locally Advanced Breast Cancer

Bhardwaj

Dasgupta

DiCenzo

et al. 2022

Cancers

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Background: This study was conducted to explore the use of quantitative ultrasound (QUS) in predicting recurrence for patients with locally advanced breast cancer (LABC) early during neoadjuvant chemotherapy (NAC). Methods: Eighty-three patients with LABC were scanned with 7 MHz ultrasound before starting NAC (week 0) and during treatment (week 4). Spectral parametric maps were generated corresponding to tumor volume. Twenty-four textural features (QUS-Tex1) were determined from parametric maps acquired using grey-level co-occurrence matrices (GLCM) for each patient, which were further processed to generate 64 texture derivatives (QUS-Tex1-Tex2), leading to a total of 95 features from each time point. Analysis was carried out on week 4 data and compared to baseline (week 0) data. ∆Week 4 data was obtained from the difference in QUS parameters, texture features (QUS-Tex1), and texture derivatives (QUS-Tex1-Tex2) of week 4 data and week 0 data. Patients were divided into two groups: recurrence and non-recurrence. Machine learning algorithms using k-nearest neighbor (k-NN) and support vector machines (SVMs) were used to generate radiomic models. Internal validation was undertaken using leave-one patient out cross-validation method. Results: With a median follow up of 69 months (range 7–118 months), 28 patients had disease recurrence. The k-NN classifier was the best performing algorithm at week 4 with sensitivity, specificity, accuracy, and area under curve (AUC) of 87%, 75%, 81%, and 0.83, respectively. The inclusion of texture derivatives (QUS-Tex1-Tex2) in week 4 QUS data analysis led to the improvement of the classifier performances. The AUC increased from 0.70 (0.59 to 0.79, 95% confidence interval) without texture derivatives to 0.83 (0.73 to 0.92) with texture derivatives. The most relevant features separating the two groups were higher-order texture derivatives obtained from scatterer diameter and acoustic concentration-related parametric images. Conclusions: This is the first study highlighting the utility of QUS radiomics in the prediction of recurrence during the treatment of LABC. It reflects that the ongoing treatment-related changes can predict clinical outcomes with higher accuracy as compared to pretreatment features alone.

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“…[17,17,32] In the past, it has been demonstrated in preclinical studies that QUS can evaluate cell death in response to different treatment modalities. [33,34] The intracellular mechanisms resulting in phenotypical cell changes differ according to the mode of cell death. For example, mitotic arrest results in cell swelling, whereas apoptotic death leads to cell shrinkage, chromatin condensation, and nuclear fragmentation.…”

Section: Discussionmentioning

confidence: 99%

Early changes in quantitative ultrasound imaging parameters during neoadjuvant chemotherapy to predict recurrence in patients with locally advanced breast cancer

Bhardwaj

Dasgupta

DiCenzo

et al. 2021

Preprint

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Background: This study was conducted in order to explore the use of quantitative ultrasound (QUS) based higher-order texture derivatives in predicting recurrence for patients with locally advanced breast cancer (LABC) early during neoadjuvant chemotherapy (NAC). Methods: Eighty-three patients with LABC were scanned with 7 MHz ultrasound before starting NAC (week 0) and during treatment (week 4). Spectral parametric maps were generated corresponding to tumor volume. Twenty-four textural features (QUS-Tex1) were determined from parametric maps acquired using grey-level co-occurrence matrices (GLCM) for each patient, which were further processed to generate 64 texture derivatives (QUS-Tex1-Tex2), leading to a total of 95 features from each time points. Analysis was carried out on week 4 data and compared to baseline (week 0) data. ∆Week 4 data was obtained from the difference in QUS parameters, texture features (QUS-Tex1), and texture derivatives (QUS-Tex1-Tex2) of week 4 data and week 0 data. Patients were divided into two groups based on their clinical status: recurrence and no-recurrence. Machine learning algorithms using k-nearest neighbor (k-NN) and support vector machines (SVM) were used to generate radiomic models. Results:  With a median follow up of 69 months (range 7-118 months), 28 patients had disease recurrence. The k-NN classifier was the best performing algorithm at week 4 with sensitivity, specificity, accuracy, and area under curve (AUC) of 87%, 75%, 81%, and 0.83, respectively. The inclusion of texture derivatives (QUS-Tex1-Tex2) in week 4 QUS data analysis led to the improvement of the classifier performances. The AUC increased significantly from 0.70 (without texture derivatives) to 0.83 (with texture derivatives). The most relevant features in separating the two groups were higher-order texture derivatives obtained from scatterer diameter and acoustic concentration-related parametric images.  Conclusion: This is the first study highlighting the utility of QUS radiomics in the prediction of recurrence during the treatment of LABC. It reflects that the ongoing treatment-related changes can predict clinical outcomes with higher accuracy as compared to pretreatment features alone.  Clinical Trial Registration: ClinicalTrials.gov Identifier: NCT00437879 .Registry name: Clinicaltrials.gov.Date of registration: 20th February 2007URL: https://clinicaltrials.gov/ct2/show/study/NCT00437879

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High-frequency ultrasound detection of cell death: Spectral differentiation of different forms of cell death in vitro

Cited by 14 publications

References 65 publications

Stable morphological–physiological and neural protein expression changes in rat bone marrow mesenchymal stem cells treated with electromagnetic field and nitric oxide

Stable morphological–physiological and neural protein expression changes in rat bone marrow mesenchymal stem cells treated with electromagnetic field and nitric oxide

Early Changes in Quantitative Ultrasound Imaging Parameters during Neoadjuvant Chemotherapy to Predict Recurrence in Patients with Locally Advanced Breast Cancer

Early changes in quantitative ultrasound imaging parameters during neoadjuvant chemotherapy to predict recurrence in patients with locally advanced breast cancer

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