Pub Date : 2023-08-11DOI: 10.1142/s1793048023410047
K. Al-Utaibi, Shehneel Siddiq, Sadiq M. Sait
Stock marketing prediction is really important in this digital world and for this reason, its forecasting tools are highly desired. This research examines the influence of Long Short-Term Memory (LSTM) in stock market prediction. The basic genetic algorithm behind the time series analysis tool is described with the help of a structure diagram, and its mathematical structure is explained. We also described the application of LSTM in the field of finance. LSTM is playing a vital role in prediction in several applications. Experiments on the proposed method have been conducted on stock market data. The results show that LSTM predicts the price quite fairly accurately. It outperformed other prediction models due to long-term dependency and due to its accuracy. The research demonstrates the LSTM tool’s impact on finance, particularly stock market prediction.
{"title":"Stock Price Forecasting with LSTM: A Brief Analysis of Mathematics Behind LSTM","authors":"K. Al-Utaibi, Shehneel Siddiq, Sadiq M. Sait","doi":"10.1142/s1793048023410047","DOIUrl":"https://doi.org/10.1142/s1793048023410047","url":null,"abstract":"Stock marketing prediction is really important in this digital world and for this reason, its forecasting tools are highly desired. This research examines the influence of Long Short-Term Memory (LSTM) in stock market prediction. The basic genetic algorithm behind the time series analysis tool is described with the help of a structure diagram, and its mathematical structure is explained. We also described the application of LSTM in the field of finance. LSTM is playing a vital role in prediction in several applications. Experiments on the proposed method have been conducted on stock market data. The results show that LSTM predicts the price quite fairly accurately. It outperformed other prediction models due to long-term dependency and due to its accuracy. The research demonstrates the LSTM tool’s impact on finance, particularly stock market prediction.","PeriodicalId":88835,"journal":{"name":"Biophysical reviews and letters","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48014547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-30DOI: 10.1142/s1793048023410023
Muhammad Idrees
The double-pendulum overhead crane system belongs to a class of underactuated mechanical systems, which is challenging to control due to its strong nonlinearities. This study deals with the nonlinear controller design for a double-pendulum overhead crane based on hierarchical sliding mode control with state-dependent switching gain. The equivalent and switching controls are obtained with the aid of first-level and second-level sliding surfaces. The asymptotic stability of sliding surfaces is proved theoretically and also shown graphically. Numerical simulations show that the proposed controller performs better than conventional hierarchical sliding mode control. The proposed controller effectively suppresses the load and hook swing and precisely controls the trolley’s displacement. It has strong robustness to the payload displacement and the change of the crane parameters.
{"title":"Control of a Double-Pendulum Overhead Crane System Based on Hierarchical Sliding Mode Control Techniques","authors":"Muhammad Idrees","doi":"10.1142/s1793048023410023","DOIUrl":"https://doi.org/10.1142/s1793048023410023","url":null,"abstract":"The double-pendulum overhead crane system belongs to a class of underactuated mechanical systems, which is challenging to control due to its strong nonlinearities. This study deals with the nonlinear controller design for a double-pendulum overhead crane based on hierarchical sliding mode control with state-dependent switching gain. The equivalent and switching controls are obtained with the aid of first-level and second-level sliding surfaces. The asymptotic stability of sliding surfaces is proved theoretically and also shown graphically. Numerical simulations show that the proposed controller performs better than conventional hierarchical sliding mode control. The proposed controller effectively suppresses the load and hook swing and precisely controls the trolley’s displacement. It has strong robustness to the payload displacement and the change of the crane parameters.","PeriodicalId":88835,"journal":{"name":"Biophysical reviews and letters","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49453172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-31DOI: 10.1142/s1793048023410011
K. Al-Utaibi, M. Idrees, Sadiq M. Sait, S. Iqbal
Bone is termed the smart material, and its modeling is of great interest in biomechanics, biochemistry, endocrinology, and oncology. The bone health of cancer patients is directly affected by hormonal imbalances, receptor-mediated tumor-targeted processes, and disturbed bone mineral density. Researchers have used different therapeutic approaches to monitor bone health during and after cancer treatment. This paper describes a reverse process of bone rebuilding after the resorption of bone via cancer treatment. A detailed model is used for hormonal therapy, which leads to the physical changes in trabecular structure. These changes are demonstrated with the aid of artificial neural networks and Petri nets. This paper connects the structural modeling of the bone trabecula with chemical kinetics. The main goal of this study is to provide a PN model of bone metastasis and an analysis of its structural properties. These properties are very helpful in demonstrating the complex dynamics of bone metastasis. Although both ANNs and PNs are well organized in the areas of machine learning and network modeling, neither technique is without limitations. ANNs, for example, are very efficient machine-learning applications, but their utter lack of explanation capabilities classifies them as a “black-box” technique. On the other hand, PNs are an effective modeling technique, but their theory does not include machine learning. This paper provides a hybrid approach to address the two approaches in a novel manner.
{"title":"Network Modeling Approach for the Nonlinear Dynamics of the Osseous Bio-Physics and Bio-Mathematics","authors":"K. Al-Utaibi, M. Idrees, Sadiq M. Sait, S. Iqbal","doi":"10.1142/s1793048023410011","DOIUrl":"https://doi.org/10.1142/s1793048023410011","url":null,"abstract":"Bone is termed the smart material, and its modeling is of great interest in biomechanics, biochemistry, endocrinology, and oncology. The bone health of cancer patients is directly affected by hormonal imbalances, receptor-mediated tumor-targeted processes, and disturbed bone mineral density. Researchers have used different therapeutic approaches to monitor bone health during and after cancer treatment. This paper describes a reverse process of bone rebuilding after the resorption of bone via cancer treatment. A detailed model is used for hormonal therapy, which leads to the physical changes in trabecular structure. These changes are demonstrated with the aid of artificial neural networks and Petri nets. This paper connects the structural modeling of the bone trabecula with chemical kinetics. The main goal of this study is to provide a PN model of bone metastasis and an analysis of its structural properties. These properties are very helpful in demonstrating the complex dynamics of bone metastasis. Although both ANNs and PNs are well organized in the areas of machine learning and network modeling, neither technique is without limitations. ANNs, for example, are very efficient machine-learning applications, but their utter lack of explanation capabilities classifies them as a “black-box” technique. On the other hand, PNs are an effective modeling technique, but their theory does not include machine learning. This paper provides a hybrid approach to address the two approaches in a novel manner.","PeriodicalId":88835,"journal":{"name":"Biophysical reviews and letters","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48118043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-04DOI: 10.1142/s1793048023500017
K. Kulikov, T. Koshlan, A. P. Golovitsky
This paper proposes a new paradigm for the biophysical concept of measuring the affinity of molecular complexes, based on a matrix representation of biological interactions and subsequent numerical analysis of the stability of this matrix. Our numerical criterion of stability (lg(cond([Formula: see text]))) correlates well with experimental values such as [Formula: see text] and IC[Formula: see text] as well as with experimental data of aggregation kinetics in studies of amyloid peptides. The main goal of this work is to reduce the cost of biochemical experiments by obtaining preliminary information on the interaction of chemical compounds. The paper also presents our numerical calculations in comparison with a large amount of experimental data on the examples of binding of small chemical molecules gefitinib, erlotinib, imatinib, naquatinib, and CO-1686 with proteins, protein–peptide interactions of the Bcl-2 protein family, antibody–antigen CD20–rituximab, and aggregation of amyloid peptides. The description of the software package that implements the presented algorithm is given on the website: https://binomlabs.com/ .
{"title":"A Paradigm Shift in Experimental Biochemistry: A Priori Estimation of Physical Parameters of Biomolecules","authors":"K. Kulikov, T. Koshlan, A. P. Golovitsky","doi":"10.1142/s1793048023500017","DOIUrl":"https://doi.org/10.1142/s1793048023500017","url":null,"abstract":"This paper proposes a new paradigm for the biophysical concept of measuring the affinity of molecular complexes, based on a matrix representation of biological interactions and subsequent numerical analysis of the stability of this matrix. Our numerical criterion of stability (lg(cond([Formula: see text]))) correlates well with experimental values such as [Formula: see text] and IC[Formula: see text] as well as with experimental data of aggregation kinetics in studies of amyloid peptides. The main goal of this work is to reduce the cost of biochemical experiments by obtaining preliminary information on the interaction of chemical compounds. The paper also presents our numerical calculations in comparison with a large amount of experimental data on the examples of binding of small chemical molecules gefitinib, erlotinib, imatinib, naquatinib, and CO-1686 with proteins, protein–peptide interactions of the Bcl-2 protein family, antibody–antigen CD20–rituximab, and aggregation of amyloid peptides. The description of the software package that implements the presented algorithm is given on the website: https://binomlabs.com/ .","PeriodicalId":88835,"journal":{"name":"Biophysical reviews and letters","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44336957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-29DOI: 10.1142/s179304802331001x
Subramanian Uma Maheshwari, K. Govindan, D. Illakkiam
Trauma, disease and various pathological conditions of bone may lead to the need of bone grafts and their substitutes to the affected patients. Bone grafting is a surgical process that repairs, rebuilds or replaces the lost bone. The main function of bone grafts is to induce osteoconduction, osteoinduction and osteogenesis along with providing the structural support for adherence and proliferation of bone cells at the implanted site. Bone grafts are available in a variety of substances broadly categorized into natural and synthetic grafts. The gold standard is autografts, where the bone from a person’s own body is used for implant. Other than autogenous grafts, allografts, xenografts and various isolated or polymer composites of calcium phosphate, tricalcium phosphate, calcium sulfate and hydroxyapatite are available. Zeroing in on an ideal bone graft for a specific clinical situation is a surmounting task as all grafts do not have the same properties. Hence, this review presents a deep study on the history of bone developments in the field of tissue engineering. It presents a thorough account on the natural and synthetic biodegradable electrospun polymers used for scaffolding purpose to engineer the bone.
{"title":"A Systematic Review on Electrospun Polymer Nanocomposites Used for Bone Tissue Engineering","authors":"Subramanian Uma Maheshwari, K. Govindan, D. Illakkiam","doi":"10.1142/s179304802331001x","DOIUrl":"https://doi.org/10.1142/s179304802331001x","url":null,"abstract":"Trauma, disease and various pathological conditions of bone may lead to the need of bone grafts and their substitutes to the affected patients. Bone grafting is a surgical process that repairs, rebuilds or replaces the lost bone. The main function of bone grafts is to induce osteoconduction, osteoinduction and osteogenesis along with providing the structural support for adherence and proliferation of bone cells at the implanted site. Bone grafts are available in a variety of substances broadly categorized into natural and synthetic grafts. The gold standard is autografts, where the bone from a person’s own body is used for implant. Other than autogenous grafts, allografts, xenografts and various isolated or polymer composites of calcium phosphate, tricalcium phosphate, calcium sulfate and hydroxyapatite are available. Zeroing in on an ideal bone graft for a specific clinical situation is a surmounting task as all grafts do not have the same properties. Hence, this review presents a deep study on the history of bone developments in the field of tissue engineering. It presents a thorough account on the natural and synthetic biodegradable electrospun polymers used for scaffolding purpose to engineer the bone.","PeriodicalId":88835,"journal":{"name":"Biophysical reviews and letters","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44706753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-01DOI: 10.1142/s1793048023500029
Eleni Georgiopoulou, S. Hofmann, M. Maroudas, A. Mastronikolis, E. Matteson, M. Tsagri, K. Zioutas
This report addresses the time dependence of normal biomedical processes. The conception rate in humans shows relationships that strikingly coincide with planetary periodicities like the orbital period of Jupiter, the 11 years solar cycle and the 237 days Jupiter–Venus synod, and the combined dependence on Jupiter with Mars’ orbital position. The birth rates are used as conception surrogates based on a data set available from the Minnesota Department of Health. The statistical significance of each independent analysis (far) exceeds 5[Formula: see text]. This result cannot be explained with known science. As with other observations in Physics and Medicine (i.e., melanoma), tentatively the only viable explanation we have is the otherwise invisible streaming matter from the dark Universe we live in. The favored dark matter scenario involves streams or clusters as opposed to an isotropic dark sector. The dark Universe scenario has been the driving idea for this type of work. The high sensitivity of living matter to the tiniest external impact might help identify the nature of the dark matter particles, a major problem in all physics since the 1930s. This work is a model for evaluating other biological processes and mutation rates.
{"title":"Planetary Relationships to Birth (Imputed Conception) Rates in Humans: A Signature of Cosmic Origin?","authors":"Eleni Georgiopoulou, S. Hofmann, M. Maroudas, A. Mastronikolis, E. Matteson, M. Tsagri, K. Zioutas","doi":"10.1142/s1793048023500029","DOIUrl":"https://doi.org/10.1142/s1793048023500029","url":null,"abstract":"This report addresses the time dependence of normal biomedical processes. The conception rate in humans shows relationships that strikingly coincide with planetary periodicities like the orbital period of Jupiter, the 11 years solar cycle and the 237 days Jupiter–Venus synod, and the combined dependence on Jupiter with Mars’ orbital position. The birth rates are used as conception surrogates based on a data set available from the Minnesota Department of Health. The statistical significance of each independent analysis (far) exceeds 5[Formula: see text]. This result cannot be explained with known science. As with other observations in Physics and Medicine (i.e., melanoma), tentatively the only viable explanation we have is the otherwise invisible streaming matter from the dark Universe we live in. The favored dark matter scenario involves streams or clusters as opposed to an isotropic dark sector. The dark Universe scenario has been the driving idea for this type of work. The high sensitivity of living matter to the tiniest external impact might help identify the nature of the dark matter particles, a major problem in all physics since the 1930s. This work is a model for evaluating other biological processes and mutation rates.","PeriodicalId":88835,"journal":{"name":"Biophysical reviews and letters","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47037224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-08DOI: 10.1142/s1793048022500060
Morakinyo Deborah Aderonke, Moses George, Cletus Udeaghulu, O. Fadahunsi, Oyeneyin Ope A., Adams A. Luqman, Tukur Umar Yahaya, Adeyemi David Kehinde, J. A. Owolabi, Bozegha Deinyefa, Ibitoye Ayo Zacchaeus, Oluwadamilola Michael Williams, Adeneye Samuel Olaoluwa, I. Madu, A. Udu, Azeez Mobolaji, Oladipupo Akolade Ridwan, Emmanuel Kolade Ogunbiyi
This research paper briefly describes the analytical and experimental utilizations of data generated from plant (wonderful kola seeds), natural resources (distilled water), organic material (iron chloride salt) and plant-mediated synthesized iron oxide nanoparticles in a bid to understudy their applications and economic relevance. The data extrapolated from the characterization phase were theoretically, chemically and statistically analyzed as a result of comparison with other data set obtained from relatively published articles or journals, which are in line with nuclear applications and energy generation. The data (generated from the experimental procedure) were converted to energy calibrated values in Mega-electron Volt (MeV).
{"title":"Biological Materials, Synthesized Iron Oxide Nanoparticle and their Prospective Applications for Energy Dissipation (Case Study — Wonderful Kola Seeds)","authors":"Morakinyo Deborah Aderonke, Moses George, Cletus Udeaghulu, O. Fadahunsi, Oyeneyin Ope A., Adams A. Luqman, Tukur Umar Yahaya, Adeyemi David Kehinde, J. A. Owolabi, Bozegha Deinyefa, Ibitoye Ayo Zacchaeus, Oluwadamilola Michael Williams, Adeneye Samuel Olaoluwa, I. Madu, A. Udu, Azeez Mobolaji, Oladipupo Akolade Ridwan, Emmanuel Kolade Ogunbiyi","doi":"10.1142/s1793048022500060","DOIUrl":"https://doi.org/10.1142/s1793048022500060","url":null,"abstract":"This research paper briefly describes the analytical and experimental utilizations of data generated from plant (wonderful kola seeds), natural resources (distilled water), organic material (iron chloride salt) and plant-mediated synthesized iron oxide nanoparticles in a bid to understudy their applications and economic relevance. The data extrapolated from the characterization phase were theoretically, chemically and statistically analyzed as a result of comparison with other data set obtained from relatively published articles or journals, which are in line with nuclear applications and energy generation. The data (generated from the experimental procedure) were converted to energy calibrated values in Mega-electron Volt (MeV).","PeriodicalId":88835,"journal":{"name":"Biophysical reviews and letters","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48103517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-04DOI: 10.1142/s1793048022500072
Chandana Yesudas, Uma Maheshwari, Illakkiam Devaraj
Increasing evidence shows that ion channels play a significant role in cell proliferation, migration, apoptosis and differentiation. Many research works in gynecological cancer suggest that ion channels are involved in aberrant tumor growth and upregulation or downregulation of ion channels results in tumor growth arrest. Channelopathies are a diverse set of inherited mutations of ion channels that result in altered biophysical properties. In normal cells, there is a switch between cell growth and cell death which apparently depend upon the temporal organization and magnitude of different ion channels. There is a need for specific ion channel blockers which can abrogate the cellular mechanism of the cancer cell. Typically the impact of ion channels on cancer depends upon the magnitude and temporal organization of the ion channel activation and the activity of other signaling mechanisms. Membrane proteins are responsible for ionic homeostasis in ion channels. As cancer can be linked with the altered biophysical properties of ion channels a border context of different ion channels in cancer seems absolutely appropriate. The field of onco-channelopathies is rapidly expanding and understanding the pathophysiological mechanisms underlying the development of cancer enables researchers to better diagnose and develop treatment options for cancer. This review focuses on the role of ion channels in breast cancer and other gynecological cancers including ovarian cancer and cervical cancer, and how they contribute to tumor development.
{"title":"Channelopathies in Breast Cancer and Gynecological Cancers","authors":"Chandana Yesudas, Uma Maheshwari, Illakkiam Devaraj","doi":"10.1142/s1793048022500072","DOIUrl":"https://doi.org/10.1142/s1793048022500072","url":null,"abstract":"Increasing evidence shows that ion channels play a significant role in cell proliferation, migration, apoptosis and differentiation. Many research works in gynecological cancer suggest that ion channels are involved in aberrant tumor growth and upregulation or downregulation of ion channels results in tumor growth arrest. Channelopathies are a diverse set of inherited mutations of ion channels that result in altered biophysical properties. In normal cells, there is a switch between cell growth and cell death which apparently depend upon the temporal organization and magnitude of different ion channels. There is a need for specific ion channel blockers which can abrogate the cellular mechanism of the cancer cell. Typically the impact of ion channels on cancer depends upon the magnitude and temporal organization of the ion channel activation and the activity of other signaling mechanisms. Membrane proteins are responsible for ionic homeostasis in ion channels. As cancer can be linked with the altered biophysical properties of ion channels a border context of different ion channels in cancer seems absolutely appropriate. The field of onco-channelopathies is rapidly expanding and understanding the pathophysiological mechanisms underlying the development of cancer enables researchers to better diagnose and develop treatment options for cancer. This review focuses on the role of ion channels in breast cancer and other gynecological cancers including ovarian cancer and cervical cancer, and how they contribute to tumor development.","PeriodicalId":88835,"journal":{"name":"Biophysical reviews and letters","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47411037","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-01DOI: 10.1142/s1793048022990016
{"title":"Author Index Volume 17 (2022)","authors":"","doi":"10.1142/s1793048022990016","DOIUrl":"https://doi.org/10.1142/s1793048022990016","url":null,"abstract":"","PeriodicalId":88835,"journal":{"name":"Biophysical reviews and letters","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48827454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-07DOI: 10.1142/s1793048022500059
Afam Uzorka, J. Bale, David Kibirige
The goal of intensity-modulated radiation therapy (IMRT) is to deliver a uniform dose to the tumor with minimal margins around the target, in order to increase local control of the disease while reducing secondary effects. The research performed in this work has shown the potential usefulness of the Fricke-gel dosimeter as a quality assurance (QA) tool to verify IMRT treatments produced by inverse treatment planning. First, the 3D integrating Fricke-gel dosimeter was successfully compared to an accepted dosimetric tool. It was then used to measure relative 3D dose distributions of simple treatment plans with multiple square or rectangular fields and specific inverse-planned IMRT treatment plans. By combining the CT anatomical information and the plan contours with the gel-measured data, it was possible to display the contours on the measured dose and the measured isodose lines on the CT, in addition to measuring dose-volume histograms (DVH) for the plans. This demonstrated the usefulness of the gel dosimeter as a QA tool for IMRT and inverse planning.
{"title":"Preliminary Study on the Use of Fricke Gel Dosimeter for Verification of IMRT Beam Delivery","authors":"Afam Uzorka, J. Bale, David Kibirige","doi":"10.1142/s1793048022500059","DOIUrl":"https://doi.org/10.1142/s1793048022500059","url":null,"abstract":"The goal of intensity-modulated radiation therapy (IMRT) is to deliver a uniform dose to the tumor with minimal margins around the target, in order to increase local control of the disease while reducing secondary effects. The research performed in this work has shown the potential usefulness of the Fricke-gel dosimeter as a quality assurance (QA) tool to verify IMRT treatments produced by inverse treatment planning. First, the 3D integrating Fricke-gel dosimeter was successfully compared to an accepted dosimetric tool. It was then used to measure relative 3D dose distributions of simple treatment plans with multiple square or rectangular fields and specific inverse-planned IMRT treatment plans. By combining the CT anatomical information and the plan contours with the gel-measured data, it was possible to display the contours on the measured dose and the measured isodose lines on the CT, in addition to measuring dose-volume histograms (DVH) for the plans. This demonstrated the usefulness of the gel dosimeter as a QA tool for IMRT and inverse planning.","PeriodicalId":88835,"journal":{"name":"Biophysical reviews and letters","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43832926","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：