Inflammation index predicts radiation-induced lung injury and prognosis in lung tumors treated with stereotactic body radiation therapy
Purpose To investigate the effect of inflammation-based indexes in predicting radiation pneumonitis (RP) and prognosis in lung tumor patients treated with stereotactic body radiation therapy (SBRT). Materials and methods The data of one hundred and seventy-two patients with 272 lung lesions from Nov...
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| Veröffentlicht in: | Japanese journal of radiology 2024, Vol.42 (1), p.102-108 |
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| creator | Shan, Jingjing Xie, Xuyun Gu, Benxing Sun, Xiaonan Liu, Hai |
| description | Purpose
To investigate the effect of inflammation-based indexes in predicting radiation pneumonitis (RP) and prognosis in lung tumor patients treated with stereotactic body radiation therapy (SBRT).
Materials and methods
The data of one hundred and seventy-two patients with 272 lung lesions from November 2015 to December 2020 were retrospectively analyzed. Pretreatment hematological indexes including platelet count, neutrophil count, and lymphocyte count were collected before treatment. Systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) were calculated. The receiver operating characteristic (ROC) curve was established to predict the RP and overall survival of patients, and the Youden index was calculated to determine the cutoff values of SII, NLR, and PLR before radiotherapy.
Results
Pretreatment SII, NLR, and PLR could predict RP in lung tumor patients treated with SBRT, the optimal cutoff values of SII, NLR, and PLR were 355.38, 2.04, and 141.09, respectively. Pretreatment PLR could predict survival and the optimal cutoff value of PLR was 166.83, patients with a PLR > 166.83 predict worse overall survival (OS) (
P
166.83 were 82.0% and 58.5%, respectively.
Conclusion
In lung tumor patients treated with SBRT, pretreatment SII, NLR, and PLR can effectively predict RP and a higher PLR predicts poor OS. These inflammation-based indexes could serve as reliable and convenient predictors to guide treatment for physicians in clinical practice. |
| doi_str_mv | 10.1007/s11604-023-01482-3 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2863296314</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2863296314</sourcerecordid><originalsourceid>FETCH-LOGICAL-c375t-b9c8150162f76bb7188aa9d4c93a357eb51369021ebeb776203329a2326805443</originalsourceid><addsrcrecordid>eNp9kUtr3DAUhUVoaV79A1kUQTfZuNHLkrwsoXlAoJsUshOyfGeiwZamkkw7vyB_O0qcB3TRlYTOd8694iB0Qsk3Sog6y5RKIhrCeEOo0Kzhe-iAaqkaSvTdh7e7ovvoMOcNIVJwIT6hfa6kFi3lB-jhOqxGO022-BiwDwP8xdsEg3cl42QH_yw0VZgdDHicw7pSmzntsA1DReM6xOxzfVzEMk8xZVwS2FINf3y5x7lAglisK97hPg6792Rc7iHZ7e4YfVzZMcPnl_MI_br4cXt-1dz8vLw-_37TOK7a0vSd07QlVLKVkn2vqNbWdoNwHbe8VdDXT8mOMAo99EpJRjhnnWWcSU1aIfgROl1y6-a_Z8jFTD47GEcbIM7ZMC2rQXL6hH79B93EOYW6nWEd6bjQktBKsYVyKeacYGW2yU827Qwl5qkms9Rkak3muSbDq-nLS_TcTzC8WV57qQBfgFylsIb0Pvs_sY8hbJ76</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2909348601</pqid></control><display><type>article</type><title>Inflammation index predicts radiation-induced lung injury and prognosis in lung tumors treated with stereotactic body radiation therapy</title><source>MEDLINE</source><source>Springer Nature - Complete Springer Journals</source><creator>Shan, Jingjing ; Xie, Xuyun ; Gu, Benxing ; Sun, Xiaonan ; Liu, Hai</creator><creatorcontrib>Shan, Jingjing ; Xie, Xuyun ; Gu, Benxing ; Sun, Xiaonan ; Liu, Hai</creatorcontrib><description>Purpose
To investigate the effect of inflammation-based indexes in predicting radiation pneumonitis (RP) and prognosis in lung tumor patients treated with stereotactic body radiation therapy (SBRT).
Materials and methods
The data of one hundred and seventy-two patients with 272 lung lesions from November 2015 to December 2020 were retrospectively analyzed. Pretreatment hematological indexes including platelet count, neutrophil count, and lymphocyte count were collected before treatment. Systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) were calculated. The receiver operating characteristic (ROC) curve was established to predict the RP and overall survival of patients, and the Youden index was calculated to determine the cutoff values of SII, NLR, and PLR before radiotherapy.
Results
Pretreatment SII, NLR, and PLR could predict RP in lung tumor patients treated with SBRT, the optimal cutoff values of SII, NLR, and PLR were 355.38, 2.04, and 141.09, respectively. Pretreatment PLR could predict survival and the optimal cutoff value of PLR was 166.83, patients with a PLR > 166.83 predict worse overall survival (OS) (
P
< 0.001). The 1-year and 2-year OS for patients with a PLR ≤ 166.83 were 96.3% and 82.4%, while for those with a PLR > 166.83 were 82.0% and 58.5%, respectively.
Conclusion
In lung tumor patients treated with SBRT, pretreatment SII, NLR, and PLR can effectively predict RP and a higher PLR predicts poor OS. These inflammation-based indexes could serve as reliable and convenient predictors to guide treatment for physicians in clinical practice.</description><identifier>ISSN: 1867-1071</identifier><identifier>EISSN: 1867-108X</identifier><identifier>DOI: 10.1007/s11604-023-01482-3</identifier><identifier>PMID: 37684513</identifier><language>eng</language><publisher>Singapore: Springer Nature Singapore</publisher><subject>Cell number ; Health services ; Humans ; Imaging ; Inflammation ; Leukocytes (neutrophilic) ; Lung - pathology ; Lung cancer ; Lung Injury ; Lung Neoplasms - pathology ; Lungs ; Lymphocytes ; Mathematical analysis ; Medical prognosis ; Medicine ; Medicine & Public Health ; Neutrophils ; Nuclear Medicine ; Original Article ; Patients ; Platelets ; Pneumonitis ; Pretreatment ; Prognosis ; Radiation effects ; Radiation injuries ; Radiation therapy ; Radiology ; Radiosurgery ; Radiotherapy ; Retrospective Studies ; Survival ; Tumors</subject><ispartof>Japanese journal of radiology, 2024, Vol.42 (1), p.102-108</ispartof><rights>The Author(s) under exclusive licence to Japan Radiological Society 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2023. The Author(s) under exclusive licence to Japan Radiological Society.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-b9c8150162f76bb7188aa9d4c93a357eb51369021ebeb776203329a2326805443</citedby><cites>FETCH-LOGICAL-c375t-b9c8150162f76bb7188aa9d4c93a357eb51369021ebeb776203329a2326805443</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11604-023-01482-3$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11604-023-01482-3$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,41467,42536,51298</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37684513$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Shan, Jingjing</creatorcontrib><creatorcontrib>Xie, Xuyun</creatorcontrib><creatorcontrib>Gu, Benxing</creatorcontrib><creatorcontrib>Sun, Xiaonan</creatorcontrib><creatorcontrib>Liu, Hai</creatorcontrib><title>Inflammation index predicts radiation-induced lung injury and prognosis in lung tumors treated with stereotactic body radiation therapy</title><title>Japanese journal of radiology</title><addtitle>Jpn J Radiol</addtitle><addtitle>Jpn J Radiol</addtitle><description>Purpose
To investigate the effect of inflammation-based indexes in predicting radiation pneumonitis (RP) and prognosis in lung tumor patients treated with stereotactic body radiation therapy (SBRT).
Materials and methods
The data of one hundred and seventy-two patients with 272 lung lesions from November 2015 to December 2020 were retrospectively analyzed. Pretreatment hematological indexes including platelet count, neutrophil count, and lymphocyte count were collected before treatment. Systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) were calculated. The receiver operating characteristic (ROC) curve was established to predict the RP and overall survival of patients, and the Youden index was calculated to determine the cutoff values of SII, NLR, and PLR before radiotherapy.
Results
Pretreatment SII, NLR, and PLR could predict RP in lung tumor patients treated with SBRT, the optimal cutoff values of SII, NLR, and PLR were 355.38, 2.04, and 141.09, respectively. Pretreatment PLR could predict survival and the optimal cutoff value of PLR was 166.83, patients with a PLR > 166.83 predict worse overall survival (OS) (
P
< 0.001). The 1-year and 2-year OS for patients with a PLR ≤ 166.83 were 96.3% and 82.4%, while for those with a PLR > 166.83 were 82.0% and 58.5%, respectively.
Conclusion
In lung tumor patients treated with SBRT, pretreatment SII, NLR, and PLR can effectively predict RP and a higher PLR predicts poor OS. These inflammation-based indexes could serve as reliable and convenient predictors to guide treatment for physicians in clinical practice.</description><subject>Cell number</subject><subject>Health services</subject><subject>Humans</subject><subject>Imaging</subject><subject>Inflammation</subject><subject>Leukocytes (neutrophilic)</subject><subject>Lung - pathology</subject><subject>Lung cancer</subject><subject>Lung Injury</subject><subject>Lung Neoplasms - pathology</subject><subject>Lungs</subject><subject>Lymphocytes</subject><subject>Mathematical analysis</subject><subject>Medical prognosis</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Neutrophils</subject><subject>Nuclear Medicine</subject><subject>Original Article</subject><subject>Patients</subject><subject>Platelets</subject><subject>Pneumonitis</subject><subject>Pretreatment</subject><subject>Prognosis</subject><subject>Radiation effects</subject><subject>Radiation injuries</subject><subject>Radiation therapy</subject><subject>Radiology</subject><subject>Radiosurgery</subject><subject>Radiotherapy</subject><subject>Retrospective Studies</subject><subject>Survival</subject><subject>Tumors</subject><issn>1867-1071</issn><issn>1867-108X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kUtr3DAUhUVoaV79A1kUQTfZuNHLkrwsoXlAoJsUshOyfGeiwZamkkw7vyB_O0qcB3TRlYTOd8694iB0Qsk3Sog6y5RKIhrCeEOo0Kzhe-iAaqkaSvTdh7e7ovvoMOcNIVJwIT6hfa6kFi3lB-jhOqxGO022-BiwDwP8xdsEg3cl42QH_yw0VZgdDHicw7pSmzntsA1DReM6xOxzfVzEMk8xZVwS2FINf3y5x7lAglisK97hPg6792Rc7iHZ7e4YfVzZMcPnl_MI_br4cXt-1dz8vLw-_37TOK7a0vSd07QlVLKVkn2vqNbWdoNwHbe8VdDXT8mOMAo99EpJRjhnnWWcSU1aIfgROl1y6-a_Z8jFTD47GEcbIM7ZMC2rQXL6hH79B93EOYW6nWEd6bjQktBKsYVyKeacYGW2yU827Qwl5qkms9Rkak3muSbDq-nLS_TcTzC8WV57qQBfgFylsIb0Pvs_sY8hbJ76</recordid><startdate>2024</startdate><enddate>2024</enddate><creator>Shan, Jingjing</creator><creator>Xie, Xuyun</creator><creator>Gu, Benxing</creator><creator>Sun, Xiaonan</creator><creator>Liu, Hai</creator><general>Springer Nature Singapore</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QO</scope><scope>7RV</scope><scope>7TK</scope><scope>7U7</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope></search><sort><creationdate>2024</creationdate><title>Inflammation index predicts radiation-induced lung injury and prognosis in lung tumors treated with stereotactic body radiation therapy</title><author>Shan, Jingjing ; Xie, Xuyun ; Gu, Benxing ; Sun, Xiaonan ; Liu, Hai</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-b9c8150162f76bb7188aa9d4c93a357eb51369021ebeb776203329a2326805443</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Cell number</topic><topic>Health services</topic><topic>Humans</topic><topic>Imaging</topic><topic>Inflammation</topic><topic>Leukocytes (neutrophilic)</topic><topic>Lung - pathology</topic><topic>Lung cancer</topic><topic>Lung Injury</topic><topic>Lung Neoplasms - pathology</topic><topic>Lungs</topic><topic>Lymphocytes</topic><topic>Mathematical analysis</topic><topic>Medical prognosis</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Neutrophils</topic><topic>Nuclear Medicine</topic><topic>Original Article</topic><topic>Patients</topic><topic>Platelets</topic><topic>Pneumonitis</topic><topic>Pretreatment</topic><topic>Prognosis</topic><topic>Radiation effects</topic><topic>Radiation injuries</topic><topic>Radiation therapy</topic><topic>Radiology</topic><topic>Radiosurgery</topic><topic>Radiotherapy</topic><topic>Retrospective Studies</topic><topic>Survival</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shan, Jingjing</creatorcontrib><creatorcontrib>Xie, Xuyun</creatorcontrib><creatorcontrib>Gu, Benxing</creatorcontrib><creatorcontrib>Sun, Xiaonan</creatorcontrib><creatorcontrib>Liu, Hai</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Biotechnology Research Abstracts</collection><collection>Proquest Nursing & Allied Health Source</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><jtitle>Japanese journal of radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shan, Jingjing</au><au>Xie, Xuyun</au><au>Gu, Benxing</au><au>Sun, Xiaonan</au><au>Liu, Hai</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Inflammation index predicts radiation-induced lung injury and prognosis in lung tumors treated with stereotactic body radiation therapy</atitle><jtitle>Japanese journal of radiology</jtitle><stitle>Jpn J Radiol</stitle><addtitle>Jpn J Radiol</addtitle><date>2024</date><risdate>2024</risdate><volume>42</volume><issue>1</issue><spage>102</spage><epage>108</epage><pages>102-108</pages><issn>1867-1071</issn><eissn>1867-108X</eissn><abstract>Purpose
To investigate the effect of inflammation-based indexes in predicting radiation pneumonitis (RP) and prognosis in lung tumor patients treated with stereotactic body radiation therapy (SBRT).
Materials and methods
The data of one hundred and seventy-two patients with 272 lung lesions from November 2015 to December 2020 were retrospectively analyzed. Pretreatment hematological indexes including platelet count, neutrophil count, and lymphocyte count were collected before treatment. Systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) were calculated. The receiver operating characteristic (ROC) curve was established to predict the RP and overall survival of patients, and the Youden index was calculated to determine the cutoff values of SII, NLR, and PLR before radiotherapy.
Results
Pretreatment SII, NLR, and PLR could predict RP in lung tumor patients treated with SBRT, the optimal cutoff values of SII, NLR, and PLR were 355.38, 2.04, and 141.09, respectively. Pretreatment PLR could predict survival and the optimal cutoff value of PLR was 166.83, patients with a PLR > 166.83 predict worse overall survival (OS) (
P
< 0.001). The 1-year and 2-year OS for patients with a PLR ≤ 166.83 were 96.3% and 82.4%, while for those with a PLR > 166.83 were 82.0% and 58.5%, respectively.
Conclusion
In lung tumor patients treated with SBRT, pretreatment SII, NLR, and PLR can effectively predict RP and a higher PLR predicts poor OS. These inflammation-based indexes could serve as reliable and convenient predictors to guide treatment for physicians in clinical practice.</abstract><cop>Singapore</cop><pub>Springer Nature Singapore</pub><pmid>37684513</pmid><doi>10.1007/s11604-023-01482-3</doi><tpages>7</tpages></addata></record> |
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| subjects | Cell number Health services Humans Imaging Inflammation Leukocytes (neutrophilic) Lung - pathology Lung cancer Lung Injury Lung Neoplasms - pathology Lungs Lymphocytes Mathematical analysis Medical prognosis Medicine Medicine & Public Health Neutrophils Nuclear Medicine Original Article Patients Platelets Pneumonitis Pretreatment Prognosis Radiation effects Radiation injuries Radiation therapy Radiology Radiosurgery Radiotherapy Retrospective Studies Survival Tumors |
| title | Inflammation index predicts radiation-induced lung injury and prognosis in lung tumors treated with stereotactic body radiation therapy |
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