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Modeling frameworks for radiation induced lymphopenia: A critical review.

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Title: Modeling frameworks for radiation induced lymphopenia: A critical review.
Authors: Cella, Laura1 (AUTHOR) laura.cella@cnr.it, Monti, Serena1 (AUTHOR), Pacelli, Roberto2 (AUTHOR), Palma, Giuseppe3 (AUTHOR)
Source: Radiotherapy & Oncology. Jan2024, Vol. 190, pN.PAG-N.PAG. 1p.
Subjects: Lymphopenia, Radiotherapy, Overall survival, Cancer treatment, Radiation
Abstract: • Radiation-induced lymphopenia (RIL) is a frequent and important side effect of radiation therapy. • The detrimental effect of RIL on cancer therapeutic outcomes has been demonstrated. • Different frameworks for modelling RIL has been reported in the literature. • Harmonization among the diverse RIL modelling approaches is needed. Radiation-induced lymphopenia (RIL) is a frequent, and often considered unavoidable, side effect of radiation therapy (RT), whether or not chemotherapy is included. However, in the last few years several studies have demonstrated the detrimental effect of RIL on therapeutic outcomes, with conflicting findings concerning possible inferior patient survival. In addition, since immunotherapeutic treatment has become an integral part of cancer therapy, preserving the immune system is recognized as crucial. Given this background, various research groups have reported on different frameworks for modelling RIL, frequently based on different definitions of RIL itself, and discordant results have been reported. Our aim is to critically review the current literature on RIL modelling and summarize the different approaches recently proposed to improve the prediction of RIL after RT and aimed at immunity-sparing RT. A detailed description of these approaches will be outlined and illustrated through their applications as found in the literature from the last five years. Such a critical analysis represents the necessary starting step to develop an effective strategy that ultimately could harmonize the diverse modelling methods. [ABSTRACT FROM AUTHOR]
Copyright of Radiotherapy & Oncology is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 175498632
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Modeling frameworks for radiation induced lymphopenia: A critical review.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Cella%2C+Laura%22">Cella, Laura</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> laura.cella@cnr.it</i><br /><searchLink fieldCode="AR" term="%22Monti%2C+Serena%22">Monti, Serena</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pacelli%2C+Roberto%22">Pacelli, Roberto</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Palma%2C+Giuseppe%22">Palma, Giuseppe</searchLink><relatesTo>3</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Radiotherapy+%26+Oncology%22">Radiotherapy & Oncology</searchLink>. Jan2024, Vol. 190, pN.PAG-N.PAG. 1p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Lymphopenia%22">Lymphopenia</searchLink><br /><searchLink fieldCode="DE" term="%22Radiotherapy%22">Radiotherapy</searchLink><br /><searchLink fieldCode="DE" term="%22Overall+survival%22">Overall survival</searchLink><br /><searchLink fieldCode="DE" term="%22Cancer+treatment%22">Cancer treatment</searchLink><br /><searchLink fieldCode="DE" term="%22Radiation%22">Radiation</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: • Radiation-induced lymphopenia (RIL) is a frequent and important side effect of radiation therapy. • The detrimental effect of RIL on cancer therapeutic outcomes has been demonstrated. • Different frameworks for modelling RIL has been reported in the literature. • Harmonization among the diverse RIL modelling approaches is needed. Radiation-induced lymphopenia (RIL) is a frequent, and often considered unavoidable, side effect of radiation therapy (RT), whether or not chemotherapy is included. However, in the last few years several studies have demonstrated the detrimental effect of RIL on therapeutic outcomes, with conflicting findings concerning possible inferior patient survival. In addition, since immunotherapeutic treatment has become an integral part of cancer therapy, preserving the immune system is recognized as crucial. Given this background, various research groups have reported on different frameworks for modelling RIL, frequently based on different definitions of RIL itself, and discordant results have been reported. Our aim is to critically review the current literature on RIL modelling and summarize the different approaches recently proposed to improve the prediction of RIL after RT and aimed at immunity-sparing RT. A detailed description of these approaches will be outlined and illustrated through their applications as found in the literature from the last five years. Such a critical analysis represents the necessary starting step to develop an effective strategy that ultimately could harmonize the diverse modelling methods. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Radiotherapy & Oncology is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.radonc.2023.110041
    Languages:
      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
    Subjects:
      – SubjectFull: Lymphopenia
        Type: general
      – SubjectFull: Radiotherapy
        Type: general
      – SubjectFull: Overall survival
        Type: general
      – SubjectFull: Cancer treatment
        Type: general
      – SubjectFull: Radiation
        Type: general
    Titles:
      – TitleFull: Modeling frameworks for radiation induced lymphopenia: A critical review.
        Type: main
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            NameFull: Cella, Laura
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            NameFull: Monti, Serena
      – PersonEntity:
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            NameFull: Pacelli, Roberto
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          Name:
            NameFull: Palma, Giuseppe
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          Dates:
            – D: 01
              M: 01
              Text: Jan2024
              Type: published
              Y: 2024
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              Value: 01678140
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              Value: 190
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            – TitleFull: Radiotherapy & Oncology
              Type: main
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