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Bibliographies thématiques / Automation, Planning Optimization, Radiotherapy, Breast / Articles de revues

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Articles de revues sur le sujet « Automation, Planning Optimization, Radiotherapy, Breast »

Auteur : Grafiati

Publié le 9 mars 2023

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1

Purdie, Thomas G., Robert E. Dinniwell, Daniel Letourneau, Christine Hill, and Michael B. Sharpe. "Automated Planning of Tangential Breast Intensity-Modulated Radiotherapy Using Heuristic Optimization." International Journal of Radiation Oncology*Biology*Physics 81, no. 2 (2011): 575–83. http://dx.doi.org/10.1016/j.ijrobp.2010.11.016.

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Fan, J., J. Wang, Z. Zhang, and W. Hu. "EP-1537: Iterative dataset optimization in automated planning: implementation for breast radiotherapy." Radiotherapy and Oncology 123 (May 2017): S826. http://dx.doi.org/10.1016/s0167-8140(17)31972-2.

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Rossi, Maija, Eeva Boman, and Mika Kapanen. "Optimal selection of optimization bolus thickness in planning of VMAT breast radiotherapy treatments." Medical Dosimetry 44, no. 3 (2019): 266–73. http://dx.doi.org/10.1016/j.meddos.2018.10.001.

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Fan, Jiawei, Jiazhou Wang, Zhen Zhang, and Weigang Hu. "Iterative dataset optimization in automated planning: Implementation for breast and rectal cancer radiotherapy." Medical Physics 44, no. 6 (2017): 2515–31. http://dx.doi.org/10.1002/mp.12232.

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Yin, Chuou, Peng Yang, Shengyuan Zhang, et al. "A self-adaptive prescription dose optimization algorithm for radiotherapy." Open Physics 19, no. 1 (2021): 146–51. http://dx.doi.org/10.1515/phys-2021-0012.

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Abstract Purpose The aim of this study is to investigate an implementation method and the results of a voxel-based self-adaptive prescription dose optimization algorithm for intensity-modulated radiotherapy. Materials and methods The self-adaptive prescription dose optimization algorithm used a quadratic objective function, and the optimization engine was implemented using the molecular dynamics. In the iterative optimization process, the optimization prescription dose changed with the relationship between the initial prescription dose and the calculated dose. If the calculated dose satisfied

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Haidar, Ali, Matthew Field, Vikneswary Batumalai, et al. "Standardising Breast Radiotherapy Structure Naming Conventions: A Machine Learning Approach." Cancers 15, no. 3 (2023): 564. http://dx.doi.org/10.3390/cancers15030564.

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In progressing the use of big data in health systems, standardised nomenclature is required to enable data pooling and analyses. In many radiotherapy planning systems and their data archives, target volumes (TV) and organ-at-risk (OAR) structure nomenclature has not been standardised. Machine learning (ML) has been utilised to standardise volumes nomenclature in retrospective datasets. However, only subsets of the structures have been targeted. Within this paper, we proposed a new approach for standardising all the structures nomenclature by using multi-modal artificial neural networks. A coho

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Sayed Omer, Hiba Baha Eldin. "Intensity modulated radiotherapy using Monte Carlo for routine postmastectomy radiotherapy." Polish Journal of Medical Physics And Engineering 18, no. 2 (2012): 49–58. http://dx.doi.org/10.2478/v10013-012-0007-x.

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Radiotherapy given after mastectomy (PMRT) will reduce the risk of local recurrence by about two-thirds. Clinical and dosimetric trials were carried out using various techniques to optimize the treatments by maximizing the dose to the tumour and minimizing it to the healthy tissues at proximity. Different conventional techniques which have been studied suffer from important dose inhomogeneities due to the complex anatomy of the chest, which reduces the benefits from such treatments. Moreover, due to the heterogeneity of breast cancer, the response to therapy and a systematic approach to treatm

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Kraus, Kim Melanie, Johanna Winter, Yating Zhang, et al. "Treatment Planning Study for Microbeam Radiotherapy Using Clinical Patient Data." Cancers 14, no. 3 (2022): 685. http://dx.doi.org/10.3390/cancers14030685.

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Microbeam radiotherapy (MRT) is a novel, still preclinical dose delivery technique. MRT has shown reduced normal tissue effects at equal tumor control rates compared to conventional radiotherapy. Treatment planning studies are required to permit clinical application. The aim of this study was to establish a dose comparison between MRT and conventional radiotherapy and to identify suitable clinical scenarios for future applications of MRT. We simulated MRT treatment scenarios for clinical patient data using an inhouse developed planning algorithm based on a hybrid Monte Carlo dose calculation a

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Srivastava, Anoop Kumar, Avinav Bharati, Madhup Rastogi, et al. "Evaluation of dosimetric implications of Pareto and constrained mode of optimization for Monaco TPS generated VMAT plans in post operated carcinoma of the left breast." Polish Journal of Medical Physics and Engineering 27, no. 1 (2021): 11–18. http://dx.doi.org/10.2478/pjmpe-2021-0002.

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Abstract Intensity-modulated radiotherapy (IMRT) is being practiced for the last several years with a special approach for radiation therapy in post-mastectomy breast cancer patients. Meeting the cardiac dose constraints has always been a challenge during radiotherapy planning by both IMRT and VMAT (volumetric modulated arc therapy) of post-mastectomy left breast patients. With the advancement in IMRT planning techniques, it has been modified to VMAT with more degrees of freedom for modulation and is being utilised more frequently. This helps in obtaining a suitable plan for achieving both the

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Casesnoves, Francisco. "RADIOTHERAPY GENETIC ALGORITHM PARETO-MULTIOBJECTIVE OPTIMIZATION OF BIOLOGICAL EFFECTIVE DOSE AND CLONOGENS MODELS FOR BREAST TUMOR IMPROVED TREATMENT." INTERNATIONAL JOURNAL OF MATHEMATICS AND COMPUTER RESEARCH 11, no. 01 (2023): 3102–14. http://dx.doi.org/10.47191/ijmcr/v11i1.02.

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BED model (Biological Effective Dose) for Hyperfractionation TPO was optimized with Pareto-Multiobjective Genetic Algorithms (GA) software. Secondly, the NEffective (Effective Tumor Population Clonogens Number) model optimization for breast cancer clonogens parameters determination in TPO (Treatment Planning Optimization) is carried out with 3D Graphical and Interior Optimization methods. BED model (Biological Effective Dose) for Hyperfractionation TPO was optimized with Pareto-Multiobjective GA software. Results comprise imaging process series and numerical values of NEffective model for brea

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Casesnoves, Francisco. "RADIOTHERAPY GENETIC ALGORITHM PARETO-MULTIOBJECTIVE OPTIMIZATION OF BIOLOGICAL EFECTIVE DOSE AND CLONOGENS MODELS FOR HEAD AND NECK TUMOR ADVANCED TREATMENT." INTERNATIONAL JOURNAL OF MATHEMATICS AND COMPUTER RESEARCH 11, no. 01 (2023): 3156–77. http://dx.doi.org/10.47191/ijmcr/v11i1.08.

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BED model (Biological Effective Dose) for Head and Neck tumors Hyperfractionation TPO was optimizedwith Pareto-Multiobjective (PMO) Genetic Algorithms (GA) software. Artificial Intelligence (AI) with GA is applied on Radiotherapy Treatment Planning Optimization (TPO). Secondly, the review of NEffective (Effective Tumor Population Clonogens Number) model optimization for breast cancer clonogens parameters determination in TPO (Treatment Planning Optimization) is got with 3D Graphical and Interior Optimization methods. Results series comprise PMO imaging process sequences and numerical values of

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Vargas-Bedoya, Eliseo, Juan Carlos Rivera, Maria Eugenia Puerta, Aurelio Angulo, Niklas Wahl, and Gonzalo Cabal. "Contour Propagation for Radiotherapy Treatment Planning Using Nonrigid Registration and Parameter Optimization: Case Studies in Liver and Breast Cancer." Applied Sciences 12, no. 17 (2022): 8523. http://dx.doi.org/10.3390/app12178523.

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Radiotherapy treatments are carried out using computerized axial tomography. In radiation therapy planning, the radiation oncologist must do a manual segmentation of volumes of interest to delineate the organs that should be irradiated. This way of carrying out the process generates long execution times and introduces a subjective component. In this study, a contour-propagation algorithm is formulated to automate the segmentation, based on elastic registration or nonrigid demon registration. A heuristic algorithm to find the parameters that optimize the registration is also proposed. The param

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Castriconi, R., P. Esposito, P. Mangili, et al. "Knowledge-based (KB) automatic plan optimization can replace manual planning in tangential field irradiation for right breast cancer radiotherapy." Physica Medica 92 (December 2021): S60. http://dx.doi.org/10.1016/s1120-1797(22)00128-4.

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Çelen, Yonca Yahşi, and Atilla Evcin. "Comparison of Different Algorithms in the Radiotherapy Plans of Breast Cancer." ITM Web of Conferences 22 (2018): 01048. http://dx.doi.org/10.1051/itmconf/20182201048.

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It is aimed to evaluate portal dosimetry results of planned breast cancer patients with intensity-modulated radiotherapy (YART) of Anisotropic Analytical Algorithm (AAA) and Pencil Beam Convolution (PBC) dose calculation algorithms. The plans of 10 treated patients will receive 6 MV photon energy and a total of 25 fractions of 50 Gray dose using the inverse YART technique, which is reverse planned in the Eclipse (ver.13.6) treatment planning system with Varian Trilogy Linear Accelerator prescribing. For each plan, dose was calculated after optimization using PBC and then AAA algorithms. The qu

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Qiu, Jianjian, Shujun Zhang, Bo Lv, and Xiangpeng Zheng. "Cardiac Dose Control and Optimization Strategy for Left Breast Cancer Radiotherapy With Non-Uniform VMAT Technology." Technology in Cancer Research & Treatment 20 (January 2021): 153303382110537. http://dx.doi.org/10.1177/15330338211053752.

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Purpose: A novel in-house technology “Non-Uniform VMAT (NU-VMAT)” was developed for automated cardiac dose reduction and treatment planning optimization in the left breast radiotherapy. Methods: The NU-VMAT model based on IGM (gantry MLC Movement coefficient index) was established to optimize the volumetric modulated arc therapy (VMAT) MLC movement and modulation intensity in certain gantry angles. The ESAPI embedded in Eclipse® was employed to connect TPS and the optimization program via I/O relevant DICOM RT files. The adjuvant whole-breast radiotherapy of 14 patients with left breast cancer

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Diklic, Ana, Doris Segota, Ingrid Belac-Lovasic, and Slaven Jurkovic. "An assessment of dose indicators for computed tomography localization procedures in radiation therapy at the University Hospital Rijeka." Nuclear Technology and Radiation Protection 33, no. 3 (2018): 301–6. http://dx.doi.org/10.2298/ntrp1803301d.

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The computed tomography has become a standard tool in radiation therapy treatment planning. Additionally, there is a growing awareness of the dose delivered to the part of the body outside the target volume. The ionizing radiation carries a stochastic risk of malignancy, therefore, the doses should be kept as low as reasonably achievable in order to provide an adequate information needed for the radiotherapy planning. The objective of this work was to set up the initial diagnostic reference levels and correlate to the image quality that would be used in the future optimization of localization

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Chomal, Manish, Minaal Iyer, Ananth Kalimurthy, Joshua Sahay, and Sushanta Banik. "Abstract P1-10-15: Concious sparing of contralateral thyroid lobe in Ca Breast patients receiving post mastectomy radiotherapy by IMRT technique – A single institution dosimetric study." Cancer Research 83, no. 5_Supplement (2023): P1–10–15—P1–10–15. http://dx.doi.org/10.1158/1538-7445.sabcs22-p1-10-15.

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Abstract Purpose/Objective(s): The purpose of this paper is to report the dosimetric effects of conscious sparing of contralateral lobe of thyroid gland in carcinoma breast patient receiving locoregional radiation by tangential beam Intensity Modulated radiotherapy technique. Materials/Methods: Treatment plans of 20 Ca Breast patients, who received post mastectomy adjuvant locoregional radiotherapy, were evaluated. Since October 2021 we adopted a department protocol of conscious sparing of contralateral thyroid in breast radiotherapy. 10 of these had conscious sparing of contralateral thyroid

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Vologdina, I. V., E. G. Poroshina, R. M. Zhabina, and A. A. Stanzhevsky. "Prevalence of risk factors of cardiovascular complications in elderly women with left breast cancer." HERALD of North-Western State Medical University named after I.I. Mechnikov 11, no. 3 (2019): 85–92. http://dx.doi.org/10.17816/mechnikov201911385-92.

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The purpose to study the risk factors for elderly women with left breast cancer at the stage of chemotherapy and radiotherapy in the context of daily clinical practice for early detection of possible cardiovascular complications and optimization of therapy. Material and methods. 69 women with HER2 neu negative left breast cancer without severe cardiovascular disease were examined. The first group included 39 elderly patients (67.7 3.8 years). The second group consisted of 34 middle-aged patients (49.8 5.7 years). In addition to the risk assessment according to the Score scale, additional

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Krishnamurthy, Revathy, Naveen Mummudi, Jayant Sastri Goda, Supriya Chopra, Ben Heijmen, and Jamema Swamidas. "Using Artificial Intelligence for Optimization of the Processes and Resource Utilization in Radiotherapy." JCO Global Oncology, no. 8 (November 2022). http://dx.doi.org/10.1200/go.21.00393.

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The radiotherapy (RT) process from planning to treatment delivery is a multistep, complex operation involving numerous levels of human-machine interaction and requiring high precision. These steps are labor-intensive and time-consuming and require meticulous coordination between professionals with diverse expertise. We reviewed and summarized the current status and prospects of artificial intelligence and machine learning relevant to the various steps in RT treatment planning and delivery workflow specifically in low- and middle-income countries (LMICs). We also searched the PubMed database us

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Shan, Zhirui. "Dosimetric Comparison of the Lung Dose on the Affected Side in Radiotherapy after Breast Cancer Breast-Conserving Therapy Based on Two Subfield Optimization Methods in Monaco Planning System." Journal of Clinical Medicine Research 2, no. 2 (2021). http://dx.doi.org/10.32629/jcmr.v2i2.362.

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Objective — To conduct comparison of the quantity difference of different segmentation optimization methods in Monaco planning system on the affected lung in radiotherapy after breast cancer breast-conserving therapy. Methods — 10 cases with breast cancer after breast-conserving surgery were selected with the prescription dose of 50GY/25F. In each case, volume modulated arc therapy (VMAT) based double arc distribution mode was adopted, and the same optimization parameters and functions were set accordingly. After completion of flux optimization, automatic weight optimization method and manual

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Oonsiri, Puntiwa, Chonnipa Nantavithya, Chawalit Lertbutsayanukul, et al. "Dosimetric evaluation of photons versus protons in postmastectomy planning for ultrahypofractionated breast radiotherapy." Radiation Oncology 17, no. 1 (2022). http://dx.doi.org/10.1186/s13014-022-01992-w.

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Abstract Background Ultrahypofractionation can shorten the irradiation period. This study is the first dosimetric investigation comparing ultrahypofractionation using volumetric arc radiation therapy (VMAT) and intensity-modulated proton radiation therapy (IMPT) techniques in postmastectomy treatment planning. Materials and methods Twenty postmastectomy patients (10-left and 10-right sided) were replanned with both VMAT and IMPT techniques. There were four scenarios: left chest wall, left chest wall including regional nodes, right chest wall, and right chest wall including regional nodes. The

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Chau, Oi-Wai, Hatim Fakir, Michael Lock, et al. "Dosimetric Planning Comparison for Left-Sided Breast Cancer Radiotherapy: The Clinical Feasibility of Four-Dimensional-Computed Tomography-Based Treatment Planning Optimization." Cureus, May 6, 2022. http://dx.doi.org/10.7759/cureus.24777.

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Chen, Wei, Yixin Lu, Liangfei Qiu, and Subodha Kumar. "Designing Personalized Treatment Plans for Breast Cancer." Information Systems Research, August 9, 2021. http://dx.doi.org/10.1287/isre.2021.1002.

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Breast cancer remains the leading cause of cancer deaths among women around the world. Contemporary treatment for breast cancer is complex and involves highly specialized medical professionals collaborating in a series of information-intensive processes. This poses significant challenges to optimization of treatment plans for individual patients. We propose a novel framework that enables personalization and customization of treatment plans for early stage breast cancer patients undergoing radiotherapy. Using a series of simulation experiments benchmarked with real-world clinical data, we demon

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Redapi, L., L. Rossi, L. Marrazzo, J. J. Penninkhof, S. Pallotta, and B. Heijmen. "Comparison of volumetric modulated arc therapy and intensity-modulated radiotherapy for left-sided whole-breast irradiation using automated planning." Strahlentherapie und Onkologie, August 5, 2021. http://dx.doi.org/10.1007/s00066-021-01817-x.

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Abstract Background Published treatment technique comparisons for postoperative left-sided whole breast irradiation (WBI) with deep-inspiration breath-hold (DIBH) are scarce, small, and inconclusive. In this study, fully automated multi-criterial plan optimization, generating a single high-quality, Pareto-optimal plan per patient and treatment technique, was used to compare for a large patient cohort 1) intensity modulated radiotherapy (IMRT) with two tangential fields and 2) volumetric modulated arc therapy (VMAT) with two small tangential subarcs. Materials and methods Forty-eight randomly s

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Chang, Sheng, Gang Liu, Lewei Zhao, et al. "Feasibility study: spot-scanning proton arc therapy (SPArc) for left-sided whole breast radiotherapy." Radiation Oncology 15, no. 1 (2020). http://dx.doi.org/10.1186/s13014-020-01676-3.

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Abstract Background This study investigated the feasibility and potential clinical benefit of utilizing a new proton treatment technique: Spot-scanning proton arc (SPArc) therapy for left-sided whole breast radiotherapy (WBRT) to further reduce radiation dose to healthy tissue and mitigate the probability of normal tissue complications compared to conventional intensity modulated proton therapy (IMPT). Methods Eight patients diagnosed with left-sided breast cancer and treated with breast-preserving surgery followed by whole breast irradiation without regional nodal irradiation were included in

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Guyer, Gian, Silvan Mueller, Carole Koechli, et al. "Enabling non-isocentric dynamic trajectory radiotherapy by integration of dynamic table translations." Physics in Medicine & Biology, July 25, 2022. http://dx.doi.org/10.1088/1361-6560/ac840d.

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Abstract Objective: The purpose of this study is to develop a treatment planning process (TPP) for non-isocentric dynamic trajectory radiotherapy (DTRT) using dynamic gantry rotation, collimator rotation, table rotation, longitudinal, vertical and lateral table translations and intensity modulation and to validate the dosimetric accuracy. Approach: The TPP consists of two steps. First, a path describing the dynamic gantry rotation, collimator rotation and dynamic table rotation and translations is determined. Second, an optimization of the intensity modulation along the path is performed. We d

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