Catechol-Conjugated Alginate Biopolymer for Eco-Friendly Synthesis of Gold Nanoparticles: A Promising Approach for Photothermal and Radiotherapy in Breast Cancer Treatment DOI Creative Commons
Mohammadreza Ghaffarlou, Hamid Rashidzadeh, Ali Mohammadi

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: Nov. 7, 2023

Abstract Radiation therapy and phototherapy are commonly used treatments for cancer that offer advantages such as a low risk of adverse effects the ability to target cells while sparing healthy tissue. A promising strategy treatment involves using nanoparticles (NPs) in combination with radiation photothermal improve efficacy. The synthesis gold NPs (AuNPs) use biomedical applications has traditionally involved toxic reducing agents. Here we harnessed dopamine (DA)-conjugated alginate (Alg) facile green Au (Au@Alg-DA NPs). Alg-DA conjugate reduced ions, simultaneously stabilized resulting AuNPs prevent aggregation, particles narrow size distribution improved stability. Injectable Au@Alg-DA significantly promoted ROS generation 4T1 breast when exposed X-rays. In addition, their administration raised temperature under light excitation 808 nm, thus helping destroy more effectively. Importantly, no substantial cytotoxicity was detected our NPs. Taken together, work provides route obtain an injectable combined radioenhancer photothermally active nanosystem further potential clinic translation.

Language: Английский

Photothermal and radiotherapy with alginate-coated gold nanoparticles for breast cancer treatment DOI Creative Commons
Mohammadreza Ghaffarlou, Hamid Rashidzadeh, Ali Mohammadi

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: June 10, 2024

Language: Английский

Citations

8
Cardiac substructure delineation in radiation therapy – A state‐of‐the‐art review DOI Creative Commons
Robert Finnegan,

Alexandra Quinn,

Jeremy Booth

et al.

Journal of Medical Imaging and Radiation Oncology, Journal Year: 2024, Volume and Issue: unknown

Published: May 17, 2024

Summary Delineation of cardiac substructures is crucial for a better understanding radiation‐related cardiotoxicities and to facilitate accurate precise dose calculation developing applying risk models. This review examines recent advancements in substructure delineation the radiation therapy (RT) context, aiming provide comprehensive overview current level knowledge, challenges future directions this evolving field. Imaging used RT planning presents reliably visualising anatomy. Although atlases contouring guidelines aid standardisation reduction variability, significant uncertainties remain defining Coupled with inherent complexity heart, necessitates auto‐contouring consistent large‐scale data analysis improved efficiency prospective applications. Auto‐contouring models, developed primarily breast lung cancer RT, have demonstrated performance comparable manual contouring, marking milestone evolution practices. Nevertheless, several key concerns require further investigation. There an unmet need expanding models encompass broader range sites. A shift focus needed from ensuring accuracy enhancing robustness accessibility Addressing these paramount integration associated into routine clinical practice, thereby improving safety patients.

Language: Английский

Citations

4
Enhancing radiotherapy techniques for Triple-Negative breast cancer treatment DOI Creative Commons
Saharnaz Sarlak, Gilles Pagès, Fréderic Luciano

et al.

Cancer Treatment Reviews, Journal Year: 2025, Volume and Issue: 136, P. 102939 - 102939

Published: April 17, 2025

Language: Английский

Citations

0
Rapid Selection of Patients Suitable for Deep Inspiration Breath-Hold Using an Automatic Delineating System and RapidPlan Model in Patients With Left Breast Cancer Undergoing Adjuvant Radiation Therapy With IMRT DOI
Yingying Zhou,

Yan-Ning Li,

Jin-Feng Xu

et al.

International Journal of Radiation Oncology*Biology*Physics, Journal Year: 2024, Volume and Issue: 120(4), P. 1066 - 1075

Published: June 27, 2024

Language: Английский

Citations

1
Performance of Commercial Deep Learning-Based Auto-Segmentation Software for Breast Cancer Radiation Therapy Planning: A Systematic Review DOI Creative Commons
Curtise K. C. Ng

Multimodal Technologies and Interaction, Journal Year: 2024, Volume and Issue: 8(12), P. 114 - 114

Published: Dec. 20, 2024

As yet, no systematic review on commercial deep learning-based auto-segmentation (DLAS) software for breast cancer radiation therapy (RT) planning has been published, although NRG Oncology highlighted the necessity such. The purpose of this is to investigate performances DLAS packages RT and methods their performance evaluation. A literature search was conducted with use electronic databases. Fifteen papers met selection criteria were included. included studies evaluated eight (Limbus Contour, Manteia AccuLearning, Mirada DLCExpert, MVision.ai Contour+, Radformation AutoContour, RaySearch RayStation, Siemens syngo.via Image Suite/AI-Rad Companion Organs RT, Therapanacea Annotate). Their findings show that could contour ten organs at risk (body, contralateral breast, esophagus-overlapping area, heart, ipsilateral humeral head, left right lungs, liver, sternum trachea) three clinical target volumes (CTVp_breast, CTVp_chestwall, CTVn_L1) up clinically acceptable standard. This can contribute 45.4%–93.7% contouring time reduction per patient. Although NRO suggested every center should conduct its own evaluation before implementation, such testing appears particularly crucial Contour+ as a result methodological weaknesses corresponding studies, small datasets collected retrospectively from single centers

Language: Английский

Citations

1
Clinical Feasibility of Artificial Intelligence-Based Autosegmentation of the Left Anterior Descending Artery in Radiotherapy for Breast Cancer DOI Creative Commons
A Mohan, Kaustav Talapatra, Manoj Sankhe

et al.

Indian Journal of Medical and Paediatric Oncology, Journal Year: 2024, Volume and Issue: unknown

Published: Feb. 27, 2024

Abstract Introduction Breast cancer is a prevalent global disease, and radiotherapy plays crucial role in its treatment. However, may lead to cardiac complications, particularly patients receiving left-sided who experience increased risks due toxicity the left anterior descending (LAD) artery. The manual contouring of LAD artery time-consuming subject variability. This study aimed provide an overview artificial intelligence (AI) based contouring, assess feasibility, identify limitations. Objectives primary objectives were evaluate feasibility AI-based compare different approaches, quantify properties impacting accuracy. secondary objective was recommend algorithms with greater Materials Methods A (noncontrast) computed tomography dataset nine breast used analyze features behavior functioning AI models for autosegmentation studied, imaging identified quantified using widely models. Additionally, algorithm reliably compute interpatient variability contours proposed. Results lack distinctive features, diminutive contour size (∼5 pixels on average), inconsistent position observed. five seven times average contours. also had high standard deviation 28.9 skewed data distribution. Conclusions results indicated that variable path reasons inability have concordance. Further, small amplified model inaccuracy. For higher accuracy, anatomical landmark–based approach necessary capture surrounding structures affect

Language: Английский

Citations

0
Catechol-Conjugated Alginate Biopolymer for Eco-Friendly Synthesis of Gold Nanoparticles: A Promising Approach for Photothermal and Radiotherapy in Breast Cancer Treatment DOI Creative Commons
Mohammadreza Ghaffarlou, Hamid Rashidzadeh, Ali Mohammadi

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: Nov. 7, 2023

Abstract Radiation therapy and phototherapy are commonly used treatments for cancer that offer advantages such as a low risk of adverse effects the ability to target cells while sparing healthy tissue. A promising strategy treatment involves using nanoparticles (NPs) in combination with radiation photothermal improve efficacy. The synthesis gold NPs (AuNPs) use biomedical applications has traditionally involved toxic reducing agents. Here we harnessed dopamine (DA)-conjugated alginate (Alg) facile green Au (Au@Alg-DA NPs). Alg-DA conjugate reduced ions, simultaneously stabilized resulting AuNPs prevent aggregation, particles narrow size distribution improved stability. Injectable Au@Alg-DA significantly promoted ROS generation 4T1 breast when exposed X-rays. In addition, their administration raised temperature under light excitation 808 nm, thus helping destroy more effectively. Importantly, no substantial cytotoxicity was detected our NPs. Taken together, work provides route obtain an injectable combined radioenhancer photothermally active nanosystem further potential clinic translation.

Language: Английский

Citations

0