Radiotherapy treatment scheduling considering time window preferences.
Identifieur interne : 000017 ( Main/Exploration ); précédent : 000016; suivant : 000018Radiotherapy treatment scheduling considering time window preferences.
Auteurs : Bruno Vieira [Pays-Bas] ; Derya Demirtas [Pays-Bas] ; Jeroen B. Van De Kamer [Pays-Bas] ; Erwin W. Hans [Pays-Bas] ; Louis-Martin Rousseau [Canada] ; Nadia Lahrichi [Canada] ; Wim H. Van Harten [Pays-Bas]Source :
- Health care management science [ 1386-9620 ] ; 2020.
Abstract
External-beam radiotherapy treatments are delivered by a linear accelerator (linac) in a series of high-energy radiation sessions over multiple days. With the increase in the incidence of cancer and the use of radiotherapy (RT), the problem of automatically scheduling RT sessions while satisfying patient preferences regarding the time of their appointments becomes increasingly relevant. While most literature focuses on timeliness of treatments, several Dutch RT centers have expressed their need to include patient preferences when scheduling appointments for irradiation sessions. In this study, we propose a mixed-integer linear programming (MILP) model that solves the problem of scheduling and sequencing RT sessions considering time window preferences given by patients. The MILP model alone is able to solve the problem to optimality, scheduling all sessions within the desired window, in reasonable time for small size instances up to 66 patients and 2 linacs per week. For larger centers, we propose a heuristic method that pre-assigns patients to linacs to decompose the problem in subproblems (clusters of linacs) before using the MILP model to solve the subproblems to optimality in a sequential manner. We test our methodology using real-world data from a large Dutch RT center (8 linacs). Results show that, combining the heuristic with the MILP model, the problem can be solved in reasonable computation time with as few as 2.8% of the sessions being scheduled outside the desired time window.
DOI: 10.1007/s10729-020-09510-8
PubMed: 32594285
Affiliations:
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Van Harten</name><affiliation wicri:level="3"><nlm:affiliation>Division of Psychosocial Research and Epidemiology, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands.</nlm:affiliation><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Division of Psychosocial Research and Epidemiology, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Plesmanlaan 121, 1066 CX, Amsterdam</wicri:regionArea><placeName><settlement type="city">Amsterdam</settlement><region nuts="2" type="province">Hollande-Septentrionale</region></placeName></affiliation><affiliation wicri:level="1"><nlm:affiliation>Rijnstate General Hospital, Arnhem, The Netherlands.</nlm:affiliation><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Rijnstate General Hospital, Arnhem</wicri:regionArea><wicri:noRegion>Arnhem</wicri:noRegion></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2020">2020</date><idno type="RBID">pubmed:32594285</idno><idno type="pmid">32594285</idno><idno type="doi">10.1007/s10729-020-09510-8</idno><idno type="wicri:Area/Main/Corpus">000001</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000001</idno><idno type="wicri:Area/Main/Curation">000001</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000001</idno><idno type="wicri:Area/Main/Exploration">000001</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Radiotherapy treatment scheduling considering time window preferences.</title><author><name sortKey="Vieira, Bruno" sort="Vieira, Bruno" uniqKey="Vieira B" first="Bruno" last="Vieira">Bruno Vieira</name><affiliation wicri:level="3"><nlm:affiliation>Department of Radiation Oncology, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands. b.vieira@nki.nl.</nlm:affiliation><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Department of Radiation Oncology, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Plesmanlaan 121, 1066 CX, Amsterdam</wicri:regionArea><placeName><settlement type="city">Amsterdam</settlement><region nuts="2" type="province">Hollande-Septentrionale</region></placeName></affiliation><affiliation wicri:level="4"><nlm:affiliation>Center for Healthcare Operations Improvement and Research (CHOIR), University of Twente, Enschede, The Netherlands. b.vieira@nki.nl.</nlm:affiliation><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Center for Healthcare Operations Improvement and Research (CHOIR), University of Twente, Enschede</wicri:regionArea><orgName type="university">Université de Twente</orgName><placeName><settlement type="city">Enschede</settlement><region nuts="2">Overijssel</region></placeName></affiliation></author><author><name sortKey="Demirtas, Derya" sort="Demirtas, Derya" uniqKey="Demirtas D" first="Derya" last="Demirtas">Derya Demirtas</name><affiliation wicri:level="4"><nlm:affiliation>Center for Healthcare Operations Improvement and Research (CHOIR), University of Twente, Enschede, The Netherlands.</nlm:affiliation><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Center for Healthcare Operations Improvement and Research (CHOIR), University of Twente, Enschede</wicri:regionArea><orgName type="university">Université de Twente</orgName><placeName><settlement type="city">Enschede</settlement><region nuts="2">Overijssel</region></placeName></affiliation><affiliation wicri:level="4"><nlm:affiliation>Department of Industrial Engineering and Business Information Systems, Faculty of Behavioural Management and Social Sciences, University of Twente, PO Box 217, 7500 AE, Enschede, The Netherlands.</nlm:affiliation><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Department of Industrial Engineering and Business Information Systems, Faculty of Behavioural Management and Social Sciences, University of Twente, PO Box 217, 7500 AE, Enschede</wicri:regionArea><orgName type="university">Université de Twente</orgName><placeName><settlement type="city">Enschede</settlement><region nuts="2">Overijssel</region></placeName></affiliation></author><author><name sortKey="Van De Kamer, Jeroen B" sort="Van De Kamer, Jeroen B" uniqKey="Van De Kamer J" first="Jeroen B" last="Van De Kamer">Jeroen B. Van De Kamer</name><affiliation wicri:level="3"><nlm:affiliation>Department of Radiation Oncology, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands.</nlm:affiliation><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Department of Radiation Oncology, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Plesmanlaan 121, 1066 CX, Amsterdam</wicri:regionArea><placeName><settlement type="city">Amsterdam</settlement><region nuts="2" type="province">Hollande-Septentrionale</region></placeName></affiliation></author><author><name sortKey="Hans, Erwin W" sort="Hans, Erwin W" uniqKey="Hans E" first="Erwin W" last="Hans">Erwin W. Hans</name><affiliation wicri:level="4"><nlm:affiliation>Center for Healthcare Operations Improvement and Research (CHOIR), University of Twente, Enschede, The Netherlands.</nlm:affiliation><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Center for Healthcare Operations Improvement and Research (CHOIR), University of Twente, Enschede</wicri:regionArea><orgName type="university">Université de Twente</orgName><placeName><settlement type="city">Enschede</settlement><region nuts="2">Overijssel</region></placeName></affiliation><affiliation wicri:level="4"><nlm:affiliation>Department of Industrial Engineering and Business Information Systems, Faculty of Behavioural Management and Social Sciences, University of Twente, PO Box 217, 7500 AE, Enschede, The Netherlands.</nlm:affiliation><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Department of Industrial Engineering and Business Information Systems, Faculty of Behavioural Management and Social Sciences, University of Twente, PO Box 217, 7500 AE, Enschede</wicri:regionArea><orgName type="university">Université de Twente</orgName><placeName><settlement type="city">Enschede</settlement><region nuts="2">Overijssel</region></placeName></affiliation></author><author><name sortKey="Rousseau, Louis Martin" sort="Rousseau, Louis Martin" uniqKey="Rousseau L" first="Louis-Martin" last="Rousseau">Louis-Martin Rousseau</name><affiliation wicri:level="1"><nlm:affiliation>Mathematics and Industrial Engineering, Polytechnique Montreal, 2900 Edouard Montpetit Blvd, Montreal, Quebec, H3T 1J4, Canada.</nlm:affiliation><country xml:lang="fr">Canada</country><wicri:regionArea>Mathematics and Industrial Engineering, Polytechnique Montreal, 2900 Edouard Montpetit Blvd, Montreal, Quebec, H3T 1J4</wicri:regionArea><wicri:noRegion>H3T 1J4</wicri:noRegion></affiliation></author><author><name sortKey="Lahrichi, Nadia" sort="Lahrichi, Nadia" uniqKey="Lahrichi N" first="Nadia" last="Lahrichi">Nadia Lahrichi</name><affiliation wicri:level="1"><nlm:affiliation>Mathematics and Industrial Engineering, Polytechnique Montreal, 2900 Edouard Montpetit Blvd, Montreal, Quebec, H3T 1J4, Canada.</nlm:affiliation><country xml:lang="fr">Canada</country><wicri:regionArea>Mathematics and Industrial Engineering, Polytechnique Montreal, 2900 Edouard Montpetit Blvd, Montreal, Quebec, H3T 1J4</wicri:regionArea><wicri:noRegion>H3T 1J4</wicri:noRegion></affiliation></author><author><name sortKey="Van Harten, Wim H" sort="Van Harten, Wim H" uniqKey="Van Harten W" first="Wim H" last="Van Harten">Wim H. Van Harten</name><affiliation wicri:level="3"><nlm:affiliation>Division of Psychosocial Research and Epidemiology, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands.</nlm:affiliation><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Division of Psychosocial Research and Epidemiology, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Plesmanlaan 121, 1066 CX, Amsterdam</wicri:regionArea><placeName><settlement type="city">Amsterdam</settlement><region nuts="2" type="province">Hollande-Septentrionale</region></placeName></affiliation><affiliation wicri:level="1"><nlm:affiliation>Rijnstate General Hospital, Arnhem, The Netherlands.</nlm:affiliation><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Rijnstate General Hospital, Arnhem</wicri:regionArea><wicri:noRegion>Arnhem</wicri:noRegion></affiliation></author></analytic><series><title level="j">Health care management science</title><idno type="ISSN">1386-9620</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">External-beam radiotherapy treatments are delivered by a linear accelerator (linac) in a series of high-energy radiation sessions over multiple days. With the increase in the incidence of cancer and the use of radiotherapy (RT), the problem of automatically scheduling RT sessions while satisfying patient preferences regarding the time of their appointments becomes increasingly relevant. While most literature focuses on timeliness of treatments, several Dutch RT centers have expressed their need to include patient preferences when scheduling appointments for irradiation sessions. In this study, we propose a mixed-integer linear programming (MILP) model that solves the problem of scheduling and sequencing RT sessions considering time window preferences given by patients. The MILP model alone is able to solve the problem to optimality, scheduling all sessions within the desired window, in reasonable time for small size instances up to 66 patients and 2 linacs per week. For larger centers, we propose a heuristic method that pre-assigns patients to linacs to decompose the problem in subproblems (clusters of linacs) before using the MILP model to solve the subproblems to optimality in a sequential manner. We test our methodology using real-world data from a large Dutch RT center (8 linacs). Results show that, combining the heuristic with the MILP model, the problem can be solved in reasonable computation time with as few as 2.8% of the sessions being scheduled outside the desired time window.</div></front></TEI><pubmed><MedlineCitation Status="Publisher" Owner="NLM"><PMID Version="1">32594285</PMID><DateRevised><Year>2020</Year><Month>06</Month><Day>28</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Print">1386-9620</ISSN><JournalIssue CitedMedium="Internet"><PubDate><Year>2020</Year><Month>Jun</Month><Day>27</Day></PubDate></JournalIssue><Title>Health care management science</Title><ISOAbbreviation>Health Care Manag Sci</ISOAbbreviation></Journal><ArticleTitle>Radiotherapy treatment scheduling considering time window preferences.</ArticleTitle><ELocationID EIdType="doi" ValidYN="Y">10.1007/s10729-020-09510-8</ELocationID><Abstract><AbstractText>External-beam radiotherapy treatments are delivered by a linear accelerator (linac) in a series of high-energy radiation sessions over multiple days. With the increase in the incidence of cancer and the use of radiotherapy (RT), the problem of automatically scheduling RT sessions while satisfying patient preferences regarding the time of their appointments becomes increasingly relevant. While most literature focuses on timeliness of treatments, several Dutch RT centers have expressed their need to include patient preferences when scheduling appointments for irradiation sessions. In this study, we propose a mixed-integer linear programming (MILP) model that solves the problem of scheduling and sequencing RT sessions considering time window preferences given by patients. The MILP model alone is able to solve the problem to optimality, scheduling all sessions within the desired window, in reasonable time for small size instances up to 66 patients and 2 linacs per week. For larger centers, we propose a heuristic method that pre-assigns patients to linacs to decompose the problem in subproblems (clusters of linacs) before using the MILP model to solve the subproblems to optimality in a sequential manner. We test our methodology using real-world data from a large Dutch RT center (8 linacs). Results show that, combining the heuristic with the MILP model, the problem can be solved in reasonable computation time with as few as 2.8% of the sessions being scheduled outside the desired time window.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Vieira</LastName><ForeName>Bruno</ForeName><Initials>B</Initials><Identifier Source="ORCID">http://orcid.org/0000-0001-6045-9233</Identifier><AffiliationInfo><Affiliation>Department of Radiation Oncology, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands. b.vieira@nki.nl.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Center for Healthcare Operations Improvement and Research (CHOIR), University of Twente, Enschede, The Netherlands. b.vieira@nki.nl.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Demirtas</LastName><ForeName>Derya</ForeName><Initials>D</Initials><AffiliationInfo><Affiliation>Center for Healthcare Operations Improvement and Research (CHOIR), University of Twente, Enschede, The Netherlands.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Department of Industrial Engineering and Business Information Systems, Faculty of Behavioural Management and Social Sciences, University of Twente, PO Box 217, 7500 AE, Enschede, The Netherlands.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>van de Kamer</LastName><ForeName>Jeroen B</ForeName><Initials>JB</Initials><AffiliationInfo><Affiliation>Department of Radiation Oncology, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Hans</LastName><ForeName>Erwin W</ForeName><Initials>EW</Initials><AffiliationInfo><Affiliation>Center for Healthcare Operations Improvement and Research (CHOIR), University of Twente, Enschede, The Netherlands.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Department of Industrial Engineering and Business Information Systems, Faculty of Behavioural Management and Social Sciences, University of Twente, PO Box 217, 7500 AE, Enschede, The Netherlands.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Rousseau</LastName><ForeName>Louis-Martin</ForeName><Initials>LM</Initials><AffiliationInfo><Affiliation>Mathematics and Industrial Engineering, Polytechnique Montreal, 2900 Edouard Montpetit Blvd, Montreal, Quebec, H3T 1J4, Canada.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Lahrichi</LastName><ForeName>Nadia</ForeName><Initials>N</Initials><AffiliationInfo><Affiliation>Mathematics and Industrial Engineering, Polytechnique Montreal, 2900 Edouard Montpetit Blvd, Montreal, Quebec, H3T 1J4, Canada.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>van Harten</LastName><ForeName>Wim H</ForeName><Initials>WH</Initials><AffiliationInfo><Affiliation>Division of Psychosocial Research and Epidemiology, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Rijnstate General Hospital, Arnhem, The Netherlands.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><GrantID>2014-6078</GrantID><Agency>KWF Kankerbestrijding</Agency><Country></Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>06</Month><Day>27</Day></ArticleDate></Article><MedlineJournalInfo><Country>Netherlands</Country><MedlineTA>Health Care Manag Sci</MedlineTA><NlmUniqueID>9815649</NlmUniqueID><ISSNLinking>1386-9620</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Mathematical programming</Keyword><Keyword MajorTopicYN="N">Operations management</Keyword><Keyword MajorTopicYN="N">Operations research</Keyword><Keyword MajorTopicYN="N">Patient preferences</Keyword><Keyword MajorTopicYN="N">Radiotherapy scheduling</Keyword><Keyword MajorTopicYN="N">Time windows</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2019</Year><Month>11</Month><Day>15</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2020</Year><Month>06</Month><Day>10</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>6</Month><Day>29</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>7</Month><Day>1</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>7</Month><Day>1</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>aheadofprint</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">32594285</ArticleId><ArticleId IdType="doi">10.1007/s10729-020-09510-8</ArticleId><ArticleId IdType="pii">10.1007/s10729-020-09510-8</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Canada</li><li>Pays-Bas</li></country><region><li>Hollande-Septentrionale</li><li>Overijssel</li></region><settlement><li>Amsterdam</li><li>Enschede</li></settlement><orgName><li>Université de Twente</li></orgName></list><tree><country name="Pays-Bas"><region name="Hollande-Septentrionale"><name sortKey="Vieira, Bruno" sort="Vieira, Bruno" uniqKey="Vieira B" first="Bruno" last="Vieira">Bruno Vieira</name></region><name sortKey="Demirtas, Derya" sort="Demirtas, Derya" uniqKey="Demirtas D" first="Derya" last="Demirtas">Derya Demirtas</name><name sortKey="Demirtas, Derya" sort="Demirtas, Derya" uniqKey="Demirtas D" first="Derya" last="Demirtas">Derya Demirtas</name><name sortKey="Hans, Erwin W" sort="Hans, Erwin W" uniqKey="Hans E" first="Erwin W" last="Hans">Erwin W. Hans</name><name sortKey="Hans, Erwin W" sort="Hans, Erwin W" uniqKey="Hans E" first="Erwin W" last="Hans">Erwin W. Hans</name><name sortKey="Van De Kamer, Jeroen B" sort="Van De Kamer, Jeroen B" uniqKey="Van De Kamer J" first="Jeroen B" last="Van De Kamer">Jeroen B. Van De Kamer</name><name sortKey="Van Harten, Wim H" sort="Van Harten, Wim H" uniqKey="Van Harten W" first="Wim H" last="Van Harten">Wim H. Van Harten</name><name sortKey="Van Harten, Wim H" sort="Van Harten, Wim H" uniqKey="Van Harten W" first="Wim H" last="Van Harten">Wim H. 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