FDG PET/CT Tumor Dissemination Characteristic Predicts the Outcome of First-Line Systemic Therapy in Non-small Cell Lung Cancer
To explore the correlation between the tumor dissemination characteristic at 18F-fluoro-deoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) images and the outcome of first-line systemic therapy for stage IV non-small cell lung cancer (NSCLC). The current retrospective stud...
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| Veröffentlicht in: | Academic radiology 2023-12, Vol.30 (12), p.2904-2912 |
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| creator | Tan, Weiyue Zhang, Yi Wang, Jie Zheng, Zhonghang Xing, Ligang Sun, Xiaorong |
| description | To explore the correlation between the tumor dissemination characteristic at 18F-fluoro-deoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) images and the outcome of first-line systemic therapy for stage IV non-small cell lung cancer (NSCLC).
The current retrospective study included 101 NSCLC patients receiving first-line systemic therapy with baseline 18F-FDG PET/CT images available. The distance between the two lesions that were the farthest apart was defined as Dmax to calculate the tumor dissemination. The tumor metabolic volume (MTV) of the primary tumor and the MTV of the whole-body tumor lesions (MTVwb) were calculated using 18F-FDG PET/CT imaging. The Kaplan–Meier survival analyses and Cox predictive model were performed to assess the relationship between the parameters and survival.
Dmax and MTVwb were independent prognostic factors for overall survival (OS) (p = 0.019 and p = 0.011, respectively) and progression-free survival (PFS) (p = 0.043 and p = 0.009, respectively). Poor PFS and OS were associated with high MTVwb (>54.0 cm3) and high Dmax (>48.5 cm) (p = 0.006 and p = 0.008, respectively). When MTVwb and Dmax were combined, three risk groups were stratified with no (score 0), one (score 1), or two (score 2) factors (p |
| doi_str_mv | 10.1016/j.acra.2023.03.027 |
| format | Article |
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The current retrospective study included 101 NSCLC patients receiving first-line systemic therapy with baseline 18F-FDG PET/CT images available. The distance between the two lesions that were the farthest apart was defined as Dmax to calculate the tumor dissemination. The tumor metabolic volume (MTV) of the primary tumor and the MTV of the whole-body tumor lesions (MTVwb) were calculated using 18F-FDG PET/CT imaging. The Kaplan–Meier survival analyses and Cox predictive model were performed to assess the relationship between the parameters and survival.
Dmax and MTVwb were independent prognostic factors for overall survival (OS) (p = 0.019 and p = 0.011, respectively) and progression-free survival (PFS) (p = 0.043 and p = 0.009, respectively). Poor PFS and OS were associated with high MTVwb (>54.0 cm3) and high Dmax (>48.5 cm) (p = 0.006 and p = 0.008, respectively). When MTVwb and Dmax were combined, three risk groups were stratified with no (score 0), one (score 1), or two (score 2) factors (p < 0.001 for PFS, p < 0.001 for OS). The group with a score of 0 had a considerably longer PFS and OS than those who received a score of 1 or 2 (PFS: 61.1%, 43.5%, and 21.1%, respectively, OS: 77.8%, 54.3%, and 36.8%, respectively).
The combination of tumor dissemination characteristic (Dmax) and tumor burden (MTVwb) can further improve the prognosis stratification of NSCLC.</description><identifier>ISSN: 1076-6332</identifier><identifier>EISSN: 1878-4046</identifier><identifier>DOI: 10.1016/j.acra.2023.03.027</identifier><identifier>PMID: 37202226</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>18F-FDG PET/CT ; Carcinoma, Non-Small-Cell Lung - diagnostic imaging ; Carcinoma, Non-Small-Cell Lung - drug therapy ; Carcinoma, Non-Small-Cell Lung - metabolism ; Dissemination ; Fluorodeoxyglucose F18 ; Humans ; Lung Neoplasms - diagnostic imaging ; Lung Neoplasms - drug therapy ; Lung Neoplasms - metabolism ; Metabolic tumor volume ; Non-small cell lung cancer ; Positron Emission Tomography Computed Tomography - methods ; Prognosis ; Radiopharmaceuticals ; Retrospective Studies ; Tumor Burden</subject><ispartof>Academic radiology, 2023-12, Vol.30 (12), p.2904-2912</ispartof><rights>2023 The Association of University Radiologists</rights><rights>Copyright © 2023 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c356t-363d6ab8240b13ab042b47d30209d5647842f30b4b188d3e321c87769b3900993</citedby><cites>FETCH-LOGICAL-c356t-363d6ab8240b13ab042b47d30209d5647842f30b4b188d3e321c87769b3900993</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37202226$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Tan, Weiyue</creatorcontrib><creatorcontrib>Zhang, Yi</creatorcontrib><creatorcontrib>Wang, Jie</creatorcontrib><creatorcontrib>Zheng, Zhonghang</creatorcontrib><creatorcontrib>Xing, Ligang</creatorcontrib><creatorcontrib>Sun, Xiaorong</creatorcontrib><title>FDG PET/CT Tumor Dissemination Characteristic Predicts the Outcome of First-Line Systemic Therapy in Non-small Cell Lung Cancer</title><title>Academic radiology</title><addtitle>Acad Radiol</addtitle><description>To explore the correlation between the tumor dissemination characteristic at 18F-fluoro-deoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) images and the outcome of first-line systemic therapy for stage IV non-small cell lung cancer (NSCLC).
The current retrospective study included 101 NSCLC patients receiving first-line systemic therapy with baseline 18F-FDG PET/CT images available. The distance between the two lesions that were the farthest apart was defined as Dmax to calculate the tumor dissemination. The tumor metabolic volume (MTV) of the primary tumor and the MTV of the whole-body tumor lesions (MTVwb) were calculated using 18F-FDG PET/CT imaging. The Kaplan–Meier survival analyses and Cox predictive model were performed to assess the relationship between the parameters and survival.
Dmax and MTVwb were independent prognostic factors for overall survival (OS) (p = 0.019 and p = 0.011, respectively) and progression-free survival (PFS) (p = 0.043 and p = 0.009, respectively). Poor PFS and OS were associated with high MTVwb (>54.0 cm3) and high Dmax (>48.5 cm) (p = 0.006 and p = 0.008, respectively). When MTVwb and Dmax were combined, three risk groups were stratified with no (score 0), one (score 1), or two (score 2) factors (p < 0.001 for PFS, p < 0.001 for OS). The group with a score of 0 had a considerably longer PFS and OS than those who received a score of 1 or 2 (PFS: 61.1%, 43.5%, and 21.1%, respectively, OS: 77.8%, 54.3%, and 36.8%, respectively).
The combination of tumor dissemination characteristic (Dmax) and tumor burden (MTVwb) can further improve the prognosis stratification of NSCLC.</description><subject>18F-FDG PET/CT</subject><subject>Carcinoma, Non-Small-Cell Lung - diagnostic imaging</subject><subject>Carcinoma, Non-Small-Cell Lung - drug therapy</subject><subject>Carcinoma, Non-Small-Cell Lung - metabolism</subject><subject>Dissemination</subject><subject>Fluorodeoxyglucose F18</subject><subject>Humans</subject><subject>Lung Neoplasms - diagnostic imaging</subject><subject>Lung Neoplasms - drug therapy</subject><subject>Lung Neoplasms - metabolism</subject><subject>Metabolic tumor volume</subject><subject>Non-small cell lung cancer</subject><subject>Positron Emission Tomography Computed Tomography - methods</subject><subject>Prognosis</subject><subject>Radiopharmaceuticals</subject><subject>Retrospective Studies</subject><subject>Tumor Burden</subject><issn>1076-6332</issn><issn>1878-4046</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kE9PGzEQxa2qFVDgC_RQ-djLBv-L7ZV6qRZCkSJA6nK2vN5J4yi7Tm0vUk58dRyFckQazczhvaeZH0LfKJlRQuXVZmZdtDNGGJ-RUkx9QmdUK10JIuTnshMlK8k5O0VfU9oQQudS8xN0ylUxMSbP0Mvi-hY_3rRXTYvbaQgRX_uUYPCjzT6MuFnbaF2G6FP2Dj9G6L3LCec14IcpuzAADiu88DHlaulHwH_2KRe_w-0aot3tsR_xfRirNNjtFjdQ2nIa_-LGjg7iBfqystsEl2_zHD0tbtrmd7V8uL1rfi0rx-cyV1zyXtpOM0E6ym1HBOuE6jlhpO7nUigt2IqTTnRU654DZ9RppWTd8ZqQuubn6McxdxfDvwlSNoNPrhxjRwhTMkxTqeZaCFqk7Ch1MaQUYWV20Q827g0l5gDebMwBvDmAN6QUU8X0_S1_6gbo3y3_SRfBz6MAypfPHqJJzkNB0PsILps--I_yXwFM1pJx</recordid><startdate>202312</startdate><enddate>202312</enddate><creator>Tan, Weiyue</creator><creator>Zhang, Yi</creator><creator>Wang, Jie</creator><creator>Zheng, Zhonghang</creator><creator>Xing, Ligang</creator><creator>Sun, Xiaorong</creator><general>Elsevier Inc</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>7X8</scope></search><sort><creationdate>202312</creationdate><title>FDG PET/CT Tumor Dissemination Characteristic Predicts the Outcome of First-Line Systemic Therapy in Non-small Cell Lung Cancer</title><author>Tan, Weiyue ; Zhang, Yi ; Wang, Jie ; Zheng, Zhonghang ; Xing, Ligang ; Sun, Xiaorong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c356t-363d6ab8240b13ab042b47d30209d5647842f30b4b188d3e321c87769b3900993</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>18F-FDG PET/CT</topic><topic>Carcinoma, Non-Small-Cell Lung - diagnostic imaging</topic><topic>Carcinoma, Non-Small-Cell Lung - drug therapy</topic><topic>Carcinoma, Non-Small-Cell Lung - metabolism</topic><topic>Dissemination</topic><topic>Fluorodeoxyglucose F18</topic><topic>Humans</topic><topic>Lung Neoplasms - diagnostic imaging</topic><topic>Lung Neoplasms - drug therapy</topic><topic>Lung Neoplasms - metabolism</topic><topic>Metabolic tumor volume</topic><topic>Non-small cell lung cancer</topic><topic>Positron Emission Tomography Computed Tomography - methods</topic><topic>Prognosis</topic><topic>Radiopharmaceuticals</topic><topic>Retrospective Studies</topic><topic>Tumor Burden</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tan, Weiyue</creatorcontrib><creatorcontrib>Zhang, Yi</creatorcontrib><creatorcontrib>Wang, Jie</creatorcontrib><creatorcontrib>Zheng, Zhonghang</creatorcontrib><creatorcontrib>Xing, Ligang</creatorcontrib><creatorcontrib>Sun, Xiaorong</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Academic radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tan, Weiyue</au><au>Zhang, Yi</au><au>Wang, Jie</au><au>Zheng, Zhonghang</au><au>Xing, Ligang</au><au>Sun, Xiaorong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>FDG PET/CT Tumor Dissemination Characteristic Predicts the Outcome of First-Line Systemic Therapy in Non-small Cell Lung Cancer</atitle><jtitle>Academic radiology</jtitle><addtitle>Acad Radiol</addtitle><date>2023-12</date><risdate>2023</risdate><volume>30</volume><issue>12</issue><spage>2904</spage><epage>2912</epage><pages>2904-2912</pages><issn>1076-6332</issn><eissn>1878-4046</eissn><abstract>To explore the correlation between the tumor dissemination characteristic at 18F-fluoro-deoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) images and the outcome of first-line systemic therapy for stage IV non-small cell lung cancer (NSCLC).
The current retrospective study included 101 NSCLC patients receiving first-line systemic therapy with baseline 18F-FDG PET/CT images available. The distance between the two lesions that were the farthest apart was defined as Dmax to calculate the tumor dissemination. The tumor metabolic volume (MTV) of the primary tumor and the MTV of the whole-body tumor lesions (MTVwb) were calculated using 18F-FDG PET/CT imaging. The Kaplan–Meier survival analyses and Cox predictive model were performed to assess the relationship between the parameters and survival.
Dmax and MTVwb were independent prognostic factors for overall survival (OS) (p = 0.019 and p = 0.011, respectively) and progression-free survival (PFS) (p = 0.043 and p = 0.009, respectively). Poor PFS and OS were associated with high MTVwb (>54.0 cm3) and high Dmax (>48.5 cm) (p = 0.006 and p = 0.008, respectively). When MTVwb and Dmax were combined, three risk groups were stratified with no (score 0), one (score 1), or two (score 2) factors (p < 0.001 for PFS, p < 0.001 for OS). The group with a score of 0 had a considerably longer PFS and OS than those who received a score of 1 or 2 (PFS: 61.1%, 43.5%, and 21.1%, respectively, OS: 77.8%, 54.3%, and 36.8%, respectively).
The combination of tumor dissemination characteristic (Dmax) and tumor burden (MTVwb) can further improve the prognosis stratification of NSCLC.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>37202226</pmid><doi>10.1016/j.acra.2023.03.027</doi><tpages>9</tpages></addata></record> |
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| subjects | 18F-FDG PET/CT Carcinoma, Non-Small-Cell Lung - diagnostic imaging Carcinoma, Non-Small-Cell Lung - drug therapy Carcinoma, Non-Small-Cell Lung - metabolism Dissemination Fluorodeoxyglucose F18 Humans Lung Neoplasms - diagnostic imaging Lung Neoplasms - drug therapy Lung Neoplasms - metabolism Metabolic tumor volume Non-small cell lung cancer Positron Emission Tomography Computed Tomography - methods Prognosis Radiopharmaceuticals Retrospective Studies Tumor Burden |
| title | FDG PET/CT Tumor Dissemination Characteristic Predicts the Outcome of First-Line Systemic Therapy in Non-small Cell Lung Cancer |
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