Optimization and decision-making of novel laser-induced thermal therapy for deep-lying tumor based on multi-objective genetic algorithm and three-way decisions method
•Multiple and single rotating laser irradiation are developed to enhance the treatment of deep-lying tumor.•Hyperthermia efficacy is evaluated from the tumor killing, normal tissue damage and the average surface temperature.•MOGA and three-way decisions method are utilized to optimize and make decis...
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Veröffentlicht in: | Applied Mathematical Modelling 2022-04, Vol.104, p.682-700 |
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description | •Multiple and single rotating laser irradiation are developed to enhance the treatment of deep-lying tumor.•Hyperthermia efficacy is evaluated from the tumor killing, normal tissue damage and the average surface temperature.•MOGA and three-way decisions method are utilized to optimize and make decisions on the novel LITT schemes.•Normal tissue killing is reduced by 80.4% and 99.74% for multiple and single rotating laser irradiation, respectively.•The risk preferences of the surgical operator have a great influence on the choice of the ideal solution.
In this paper, we develop novel laser-induced thermal therapy (LITT) schemes, multiple and single rotating laser irradiation, for deep-lying breast tumor to maximize tumor killing while minimizing normal tissue damage and preventing the surface overheating without the aid of external media such as nanoparticles and photosensitizers. Combined with numerical simulation and multi-objective genetic algorithm (MOGA), the incident angle, radius, intensity and exposure time of the multiple laser irradiation, as well as the rotational period and exposure time of the single rotating laser irradiation are optimized based on the surface response model, and a series of Pareto-optimal solutions are obtained. The three-way decisions method is utilized to effectively manage the Pareto-optimal solutions and select the ideal solution with a comprehensive consideration of the risk preferences (aversion, proneness and neutralness) of the surgeon. Compared with the traditional LITT, the ideal solution selected by the operator with risk neutralness attitude makes the surface temperature maintain at an acceptable level, and the killing volume of normal tissue is reduced by 80.4% for the multiple laser irradiation and 99.74% for the single rotating laser irradiation in the case of complete tumor killing. Results obtained can be employed as a guideline for the selection of LITT regimens for deep-lying breast tumor under consideration of the surgeon’s risk preferences. |
doi_str_mv | 10.1016/j.apm.2021.12.008 |
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In this paper, we develop novel laser-induced thermal therapy (LITT) schemes, multiple and single rotating laser irradiation, for deep-lying breast tumor to maximize tumor killing while minimizing normal tissue damage and preventing the surface overheating without the aid of external media such as nanoparticles and photosensitizers. Combined with numerical simulation and multi-objective genetic algorithm (MOGA), the incident angle, radius, intensity and exposure time of the multiple laser irradiation, as well as the rotational period and exposure time of the single rotating laser irradiation are optimized based on the surface response model, and a series of Pareto-optimal solutions are obtained. The three-way decisions method is utilized to effectively manage the Pareto-optimal solutions and select the ideal solution with a comprehensive consideration of the risk preferences (aversion, proneness and neutralness) of the surgeon. Compared with the traditional LITT, the ideal solution selected by the operator with risk neutralness attitude makes the surface temperature maintain at an acceptable level, and the killing volume of normal tissue is reduced by 80.4% for the multiple laser irradiation and 99.74% for the single rotating laser irradiation in the case of complete tumor killing. Results obtained can be employed as a guideline for the selection of LITT regimens for deep-lying breast tumor under consideration of the surgeon’s risk preferences.</description><identifier>ISSN: 0307-904X</identifier><identifier>ISSN: 1088-8691</identifier><identifier>EISSN: 0307-904X</identifier><identifier>DOI: 10.1016/j.apm.2021.12.008</identifier><language>eng</language><publisher>New York: Elsevier Inc</publisher><subject>Damage prevention ; Decision making ; Deep-lying tumor ; Genetic algorithms ; Irradiation ; Lasers ; Mathematical models ; Multi-objective genetic algorithm ; Multiple laser irradiation ; Multiple objective analysis ; Nanoparticles ; Optimization ; Overheating ; Pareto optimum ; Risk ; Rotation ; Single rotating laser irradiation ; Surgeons ; Three-way decisions method ; Tumors</subject><ispartof>Applied Mathematical Modelling, 2022-04, Vol.104, p.682-700</ispartof><rights>2021</rights><rights>Copyright Elsevier BV Apr 2022</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c325t-353463066cfcd654fa3778e5074504d82f079edef762dade11485b07c884be453</citedby><cites>FETCH-LOGICAL-c325t-353463066cfcd654fa3778e5074504d82f079edef762dade11485b07c884be453</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.apm.2021.12.008$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Zhang, Xuelan</creatorcontrib><creatorcontrib>Che, Yue</creatorcontrib><creatorcontrib>Zheng, Liancun</creatorcontrib><creatorcontrib>Shu, Chang</creatorcontrib><title>Optimization and decision-making of novel laser-induced thermal therapy for deep-lying tumor based on multi-objective genetic algorithm and three-way decisions method</title><title>Applied Mathematical Modelling</title><description>•Multiple and single rotating laser irradiation are developed to enhance the treatment of deep-lying tumor.•Hyperthermia efficacy is evaluated from the tumor killing, normal tissue damage and the average surface temperature.•MOGA and three-way decisions method are utilized to optimize and make decisions on the novel LITT schemes.•Normal tissue killing is reduced by 80.4% and 99.74% for multiple and single rotating laser irradiation, respectively.•The risk preferences of the surgical operator have a great influence on the choice of the ideal solution.
In this paper, we develop novel laser-induced thermal therapy (LITT) schemes, multiple and single rotating laser irradiation, for deep-lying breast tumor to maximize tumor killing while minimizing normal tissue damage and preventing the surface overheating without the aid of external media such as nanoparticles and photosensitizers. Combined with numerical simulation and multi-objective genetic algorithm (MOGA), the incident angle, radius, intensity and exposure time of the multiple laser irradiation, as well as the rotational period and exposure time of the single rotating laser irradiation are optimized based on the surface response model, and a series of Pareto-optimal solutions are obtained. The three-way decisions method is utilized to effectively manage the Pareto-optimal solutions and select the ideal solution with a comprehensive consideration of the risk preferences (aversion, proneness and neutralness) of the surgeon. Compared with the traditional LITT, the ideal solution selected by the operator with risk neutralness attitude makes the surface temperature maintain at an acceptable level, and the killing volume of normal tissue is reduced by 80.4% for the multiple laser irradiation and 99.74% for the single rotating laser irradiation in the case of complete tumor killing. Results obtained can be employed as a guideline for the selection of LITT regimens for deep-lying breast tumor under consideration of the surgeon’s risk preferences.</description><subject>Damage prevention</subject><subject>Decision making</subject><subject>Deep-lying tumor</subject><subject>Genetic algorithms</subject><subject>Irradiation</subject><subject>Lasers</subject><subject>Mathematical models</subject><subject>Multi-objective genetic algorithm</subject><subject>Multiple laser irradiation</subject><subject>Multiple objective analysis</subject><subject>Nanoparticles</subject><subject>Optimization</subject><subject>Overheating</subject><subject>Pareto optimum</subject><subject>Risk</subject><subject>Rotation</subject><subject>Single rotating laser irradiation</subject><subject>Surgeons</subject><subject>Three-way decisions method</subject><subject>Tumors</subject><issn>0307-904X</issn><issn>1088-8691</issn><issn>0307-904X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp9kU1rGzEQhpfSQF23P6A3Qc7ajlb7ZXoqoUkKhlwSyE3I0qyt7Wq1kbQuzg_q74xsl5BTTvPBPPMO82bZNwY5A1Z_73M52byAguWsyAHaD9kCODR0BeXjxzf5p-xzCD0AVKlaZP_upmiseZbRuJHIURONyoRUUCv_mHFLXEdGt8eBDDKgp2bUs0JN4g69lcMpyulAOucTihMdDkcqzjY1NgnRJC228xANdZseVTR7JFscMRpF5LB13sSdPUnHnUekf-Xh9YhALMad01-yi04OAb_-j8vs4frX_dUtXd_d_L76uaaKF1WkvOJlzaGuVad0XZWd5E3TYgVNWUGp26KDZoUau6YutNTIWNlWG2hU25YbLCu-zC7PeyfvnmYMUfRu9mOSFEXNV8CbFbRpip2nlHcheOzE5I2V_iAYiKMdohfJDnG0Q7BCwIn5cWYwnb836EVQBsf0SuPTU4R25h36BT7flog</recordid><startdate>202204</startdate><enddate>202204</enddate><creator>Zhang, Xuelan</creator><creator>Che, Yue</creator><creator>Zheng, Liancun</creator><creator>Shu, Chang</creator><general>Elsevier Inc</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>202204</creationdate><title>Optimization and decision-making of novel laser-induced thermal therapy for deep-lying tumor based on multi-objective genetic algorithm and three-way decisions method</title><author>Zhang, Xuelan ; Che, Yue ; Zheng, Liancun ; Shu, Chang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c325t-353463066cfcd654fa3778e5074504d82f079edef762dade11485b07c884be453</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Damage prevention</topic><topic>Decision making</topic><topic>Deep-lying tumor</topic><topic>Genetic algorithms</topic><topic>Irradiation</topic><topic>Lasers</topic><topic>Mathematical models</topic><topic>Multi-objective genetic algorithm</topic><topic>Multiple laser irradiation</topic><topic>Multiple objective analysis</topic><topic>Nanoparticles</topic><topic>Optimization</topic><topic>Overheating</topic><topic>Pareto optimum</topic><topic>Risk</topic><topic>Rotation</topic><topic>Single rotating laser irradiation</topic><topic>Surgeons</topic><topic>Three-way decisions method</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Xuelan</creatorcontrib><creatorcontrib>Che, Yue</creatorcontrib><creatorcontrib>Zheng, Liancun</creatorcontrib><creatorcontrib>Shu, Chang</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Applied Mathematical Modelling</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Xuelan</au><au>Che, Yue</au><au>Zheng, Liancun</au><au>Shu, Chang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimization and decision-making of novel laser-induced thermal therapy for deep-lying tumor based on multi-objective genetic algorithm and three-way decisions method</atitle><jtitle>Applied Mathematical Modelling</jtitle><date>2022-04</date><risdate>2022</risdate><volume>104</volume><spage>682</spage><epage>700</epage><pages>682-700</pages><issn>0307-904X</issn><issn>1088-8691</issn><eissn>0307-904X</eissn><abstract>•Multiple and single rotating laser irradiation are developed to enhance the treatment of deep-lying tumor.•Hyperthermia efficacy is evaluated from the tumor killing, normal tissue damage and the average surface temperature.•MOGA and three-way decisions method are utilized to optimize and make decisions on the novel LITT schemes.•Normal tissue killing is reduced by 80.4% and 99.74% for multiple and single rotating laser irradiation, respectively.•The risk preferences of the surgical operator have a great influence on the choice of the ideal solution.
In this paper, we develop novel laser-induced thermal therapy (LITT) schemes, multiple and single rotating laser irradiation, for deep-lying breast tumor to maximize tumor killing while minimizing normal tissue damage and preventing the surface overheating without the aid of external media such as nanoparticles and photosensitizers. Combined with numerical simulation and multi-objective genetic algorithm (MOGA), the incident angle, radius, intensity and exposure time of the multiple laser irradiation, as well as the rotational period and exposure time of the single rotating laser irradiation are optimized based on the surface response model, and a series of Pareto-optimal solutions are obtained. The three-way decisions method is utilized to effectively manage the Pareto-optimal solutions and select the ideal solution with a comprehensive consideration of the risk preferences (aversion, proneness and neutralness) of the surgeon. Compared with the traditional LITT, the ideal solution selected by the operator with risk neutralness attitude makes the surface temperature maintain at an acceptable level, and the killing volume of normal tissue is reduced by 80.4% for the multiple laser irradiation and 99.74% for the single rotating laser irradiation in the case of complete tumor killing. Results obtained can be employed as a guideline for the selection of LITT regimens for deep-lying breast tumor under consideration of the surgeon’s risk preferences.</abstract><cop>New York</cop><pub>Elsevier Inc</pub><doi>10.1016/j.apm.2021.12.008</doi><tpages>19</tpages></addata></record> |
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subjects | Damage prevention Decision making Deep-lying tumor Genetic algorithms Irradiation Lasers Mathematical models Multi-objective genetic algorithm Multiple laser irradiation Multiple objective analysis Nanoparticles Optimization Overheating Pareto optimum Risk Rotation Single rotating laser irradiation Surgeons Three-way decisions method Tumors |
title | Optimization and decision-making of novel laser-induced thermal therapy for deep-lying tumor based on multi-objective genetic algorithm and three-way decisions method |
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