Laser activatable perfluorocarbon bubbles for imaging and therapy through enhanced absorption from coupled silica coated gold nanoparticles

Fernandes, Donald A.; Appak-Baskoy, Sıla; Berndl, Elizabeth S. L.; Kolios, Michael C.

doi:10.1039/d0ra08009h

Cited by 17 publications

(9 citation statements)

References 62 publications

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“…To achieve personalized treatment, CAP is emerging as a promising approach, as the parameters of the plasma device can be fine-tuned during the treatment to suit the patient's specific dosage. CAP has been shown to reprogram the tumor microenvironment [143][144][145], inhibit tumor growth with high selectivity, and even enhance the effectiveness of other treatment modalities like chemotherapy [146][147][148][149], immunotherapy [150,151], radiotherapy [152][153][154][155], and nanomedicine [156][157][158][159][160] with improved treatment outcomes and minimized sideeffects [161]. The self-adaptive nature of the adaptive plasma system complements the power of ML.…”

Section: Discussionmentioning

confidence: 99%

Personalized Plasma Medicine for Cancer: Transforming Treatment Strategies with Mathematical Modeling and Machine Learning Approaches

Ramaswamy,

Keidar

2023

Applied Sciences

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Plasma technology shows tremendous potential for revolutionizing oncology research and treatment. Reactive oxygen and nitrogen species and electromagnetic emissions generated through gas plasma jets have attracted significant attention due to their selective cytotoxicity towards cancer cells. To leverage the full potential of plasma medicine, researchers have explored the use of mathematical models and various subsets or approaches within machine learning, such as reinforcement learning and deep learning. This review emphasizes the significant application of advanced algorithms in the adaptive plasma system, paving the way for precision and dynamic cancer treatment. Realizing the full potential of machine learning techniques in plasma medicine requires research efforts, data sharing, and interdisciplinary collaborations. Unraveling the complex mechanisms, developing real-time diagnostics, and optimizing advanced models will be crucial to harnessing the true power of plasma technology in oncology. The integration of personalized and dynamic plasma therapies, alongside AI and diagnostic sensors, presents a transformative approach to cancer treatment with the potential to improve outcomes globally.

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Section: Discussionmentioning

confidence: 99%

Personalized Plasma Medicine for Cancer: Transforming Treatment Strategies with Mathematical Modeling and Machine Learning Approaches

Ramaswamy,

Keidar

2023

Applied Sciences

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“…ADV has a higher penetration depth, and it is consequently more efficient in phase transformation. [41][42][43] Some of the USCAs containing solid cores are summarized in Table 2.…”

Section: Uscas With a Liquid Corementioning

confidence: 99%

Recent trends of contrast agents in ultrasound imaging: a review of the classifications and applications

et al. 2022

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“…Secondly, researchers have demonstrated that therapeutic immune responses against cancer antigens by membrane disruption were stronger than those with tumor thermal ablation [42] and could enhance cancer cytotoxicity. Lastly, the formed bubbles can generate an additional signal for US contrast-enhanced ultrasound imaging [43,44]. We plan to further test dual-modal PA/US imaging efficacy upon particle vaporization and the bio-safety effect of ODV using our developed nanoparticles.…”

Section: Tissue Damage Evaluation Using Tunel and Hande Histology Analysismentioning

confidence: 99%

In vivo spectroscopic photoacoustic imaging and laser‐induced nanoparticle vaporization for anti‐HER2 breast cancer

Wang

Fadhel

Hysi

et al. 2021

Journal of Biophotonics

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This study reports on the development and application of theragnostic agents targeting the HER2 receptors in breast tumors. The agent was constructed by loading silica-coated gold nanorods (GNRs) and a perfluorohexane liquid into PLGA-PEG nanoparticles, followed by surface conjugation with antibody Herceptin. The particle uptake in human breast cancer MDA-MB-231 (HER2negative) and BT474 (HER2-positive) cell lines was tested. A proof of principle in vivo study was also performed using a xenograft mouse bilateral tumor model (16 mice, 32 tumors). Photoacoustic imaging was performed using a VevoLAZR device at 720/750/850 nm illuminations and 21 MHz central frequency. The relative concentrations of GNRs in the tumor were quantified using a linear spectral unmixing technique. The therapeutic efficacy of these nanoparticles was evaluated through optical droplet vaporization, and cell damage was confirmed using tissue immunofluorescence and histology. Our results demonstrate the potential of PLGA-GNRs as theragnostic agents for anti-HER2 breast cancer therapy.

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Laser activatable perfluorocarbon bubbles for imaging and therapy through enhanced absorption from coupled silica coated gold nanoparticles

Abstract: PFH-NEs from PFH-NEs-scAuNPs can vaporize upon laser excitation leading to formation of PFH bubbles that can be used for contrast enhanced US imaging and therapy.

Cited by 17 publications

References 62 publications

Personalized Plasma Medicine for Cancer: Transforming Treatment Strategies with Mathematical Modeling and Machine Learning Approaches

Personalized Plasma Medicine for Cancer: Transforming Treatment Strategies with Mathematical Modeling and Machine Learning Approaches

Recent trends of contrast agents in ultrasound imaging: a review of the classifications and applications

In vivo spectroscopic photoacoustic imaging and laser‐induced nanoparticle vaporization for anti‐HER2 breast cancer

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