Prognostic value of the metabolic score obtained via [18F]FDG PET/CT and a new prognostic staging system for gastric cancer
We developed and validated a new staging system that includes metabolic information from pretreatment [ 18 F]Fluorodeoxyglucose ([ 18 F]FDG) positron emission tomography/computed tomography (PET/CT) for predicting disease-specific survival (DSS) in gastric cancer (GC) patients. Overall, 731 GC patie...
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| Published in | Scientific reports Vol. 12; no. 1; p. 20681 |
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| Main Authors | , , , , , , |
| Format | Journal Article |
| Language | English |
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30.11.2022
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| Abstract | We developed and validated a new staging system that includes metabolic information from pretreatment [
18
F]Fluorodeoxyglucose ([
18
F]FDG) positron emission tomography/computed tomography (PET/CT) for predicting disease-specific survival (DSS) in gastric cancer (GC) patients. Overall, 731 GC patients undergoing preoperative [
18
F]FDG PET/CT were enrolled and divided into the training (n = 543) and validation (n = 188) cohorts. A metabolic score (MS) was developed by combining the maximum standardized uptake value (SUVmax) of the primary tumor (T_SUVmax) and metastatic lymph node (N_SUVmax). A new staging system incorporating the MS and tumor-node-metastasis (TNM) stage was developed using conditional inference tree analysis. The MS was stratified as follows: score 1 (T_SUVmax ≤ 4.5 and N_SUVmax ≤ 1.9), score 2 (T_SUVmax > 4.5 and N_SUVmax ≤ 1.9), score 3 (T_SUVmax ≤ 4.5 and N_SUVmax > 1.9), and score 4 (T_SUVmax > 4.5 and N_SUVmax > 1.9) in the training cohort. The new staging system yielded five risk categories: category I (TNM I, II and MS 1), category II (TNM I, II and MS 2), category III (TNM I, II and MS ≥ 3), category IV (TNM III, IV and MS ≤ 3), and category V (TNM III, IV and MS 4) in the training cohort. DSS differed significantly between both staging systems; the new staging system showed better prognostic performance in both training and validation cohorts. The MS was an independent prognostic factor for DSS, and discriminatory power of the new staging system for DSS was better than that of the conventional TNM staging system alone. |
|---|---|
| AbstractList | Abstract We developed and validated a new staging system that includes metabolic information from pretreatment [18F]Fluorodeoxyglucose ([18F]FDG) positron emission tomography/computed tomography (PET/CT) for predicting disease-specific survival (DSS) in gastric cancer (GC) patients. Overall, 731 GC patients undergoing preoperative [18F]FDG PET/CT were enrolled and divided into the training (n = 543) and validation (n = 188) cohorts. A metabolic score (MS) was developed by combining the maximum standardized uptake value (SUVmax) of the primary tumor (T_SUVmax) and metastatic lymph node (N_SUVmax). A new staging system incorporating the MS and tumor-node-metastasis (TNM) stage was developed using conditional inference tree analysis. The MS was stratified as follows: score 1 (T_SUVmax ≤ 4.5 and N_SUVmax ≤ 1.9), score 2 (T_SUVmax > 4.5 and N_SUVmax ≤ 1.9), score 3 (T_SUVmax ≤ 4.5 and N_SUVmax > 1.9), and score 4 (T_SUVmax > 4.5 and N_SUVmax > 1.9) in the training cohort. The new staging system yielded five risk categories: category I (TNM I, II and MS 1), category II (TNM I, II and MS 2), category III (TNM I, II and MS ≥ 3), category IV (TNM III, IV and MS ≤ 3), and category V (TNM III, IV and MS 4) in the training cohort. DSS differed significantly between both staging systems; the new staging system showed better prognostic performance in both training and validation cohorts. The MS was an independent prognostic factor for DSS, and discriminatory power of the new staging system for DSS was better than that of the conventional TNM staging system alone. We developed and validated a new staging system that includes metabolic information from pretreatment [18F]Fluorodeoxyglucose ([18F]FDG) positron emission tomography/computed tomography (PET/CT) for predicting disease-specific survival (DSS) in gastric cancer (GC) patients. Overall, 731 GC patients undergoing preoperative [18F]FDG PET/CT were enrolled and divided into the training (n = 543) and validation (n = 188) cohorts. A metabolic score (MS) was developed by combining the maximum standardized uptake value (SUVmax) of the primary tumor (T_SUVmax) and metastatic lymph node (N_SUVmax). A new staging system incorporating the MS and tumor-node-metastasis (TNM) stage was developed using conditional inference tree analysis. The MS was stratified as follows: score 1 (T_SUVmax ≤ 4.5 and N_SUVmax ≤ 1.9), score 2 (T_SUVmax > 4.5 and N_SUVmax ≤ 1.9), score 3 (T_SUVmax ≤ 4.5 and N_SUVmax > 1.9), and score 4 (T_SUVmax > 4.5 and N_SUVmax > 1.9) in the training cohort. The new staging system yielded five risk categories: category I (TNM I, II and MS 1), category II (TNM I, II and MS 2), category III (TNM I, II and MS ≥ 3), category IV (TNM III, IV and MS ≤ 3), and category V (TNM III, IV and MS 4) in the training cohort. DSS differed significantly between both staging systems; the new staging system showed better prognostic performance in both training and validation cohorts. The MS was an independent prognostic factor for DSS, and discriminatory power of the new staging system for DSS was better than that of the conventional TNM staging system alone. We developed and validated a new staging system that includes metabolic information from pretreatment [ 18 F]Fluorodeoxyglucose ([ 18 F]FDG) positron emission tomography/computed tomography (PET/CT) for predicting disease-specific survival (DSS) in gastric cancer (GC) patients. Overall, 731 GC patients undergoing preoperative [ 18 F]FDG PET/CT were enrolled and divided into the training (n = 543) and validation (n = 188) cohorts. A metabolic score (MS) was developed by combining the maximum standardized uptake value (SUVmax) of the primary tumor (T_SUVmax) and metastatic lymph node (N_SUVmax). A new staging system incorporating the MS and tumor-node-metastasis (TNM) stage was developed using conditional inference tree analysis. The MS was stratified as follows: score 1 (T_SUVmax ≤ 4.5 and N_SUVmax ≤ 1.9), score 2 (T_SUVmax > 4.5 and N_SUVmax ≤ 1.9), score 3 (T_SUVmax ≤ 4.5 and N_SUVmax > 1.9), and score 4 (T_SUVmax > 4.5 and N_SUVmax > 1.9) in the training cohort. The new staging system yielded five risk categories: category I (TNM I, II and MS 1), category II (TNM I, II and MS 2), category III (TNM I, II and MS ≥ 3), category IV (TNM III, IV and MS ≤ 3), and category V (TNM III, IV and MS 4) in the training cohort. DSS differed significantly between both staging systems; the new staging system showed better prognostic performance in both training and validation cohorts. The MS was an independent prognostic factor for DSS, and discriminatory power of the new staging system for DSS was better than that of the conventional TNM staging system alone. Abstract We developed and validated a new staging system that includes metabolic information from pretreatment [ 18 F]Fluorodeoxyglucose ([ 18 F]FDG) positron emission tomography/computed tomography (PET/CT) for predicting disease-specific survival (DSS) in gastric cancer (GC) patients. Overall, 731 GC patients undergoing preoperative [ 18 F]FDG PET/CT were enrolled and divided into the training (n = 543) and validation (n = 188) cohorts. A metabolic score (MS) was developed by combining the maximum standardized uptake value (SUVmax) of the primary tumor (T_SUVmax) and metastatic lymph node (N_SUVmax). A new staging system incorporating the MS and tumor-node-metastasis (TNM) stage was developed using conditional inference tree analysis. The MS was stratified as follows: score 1 (T_SUVmax ≤ 4.5 and N_SUVmax ≤ 1.9), score 2 (T_SUVmax > 4.5 and N_SUVmax ≤ 1.9), score 3 (T_SUVmax ≤ 4.5 and N_SUVmax > 1.9), and score 4 (T_SUVmax > 4.5 and N_SUVmax > 1.9) in the training cohort. The new staging system yielded five risk categories: category I (TNM I, II and MS 1), category II (TNM I, II and MS 2), category III (TNM I, II and MS ≥ 3), category IV (TNM III, IV and MS ≤ 3), and category V (TNM III, IV and MS 4) in the training cohort. DSS differed significantly between both staging systems; the new staging system showed better prognostic performance in both training and validation cohorts. The MS was an independent prognostic factor for DSS, and discriminatory power of the new staging system for DSS was better than that of the conventional TNM staging system alone. We developed and validated a new staging system that includes metabolic information from pretreatment [ F]Fluorodeoxyglucose ([ F]FDG) positron emission tomography/computed tomography (PET/CT) for predicting disease-specific survival (DSS) in gastric cancer (GC) patients. Overall, 731 GC patients undergoing preoperative [ F]FDG PET/CT were enrolled and divided into the training (n = 543) and validation (n = 188) cohorts. A metabolic score (MS) was developed by combining the maximum standardized uptake value (SUVmax) of the primary tumor (T_SUVmax) and metastatic lymph node (N_SUVmax). A new staging system incorporating the MS and tumor-node-metastasis (TNM) stage was developed using conditional inference tree analysis. The MS was stratified as follows: score 1 (T_SUVmax ≤ 4.5 and N_SUVmax ≤ 1.9), score 2 (T_SUVmax > 4.5 and N_SUVmax ≤ 1.9), score 3 (T_SUVmax ≤ 4.5 and N_SUVmax > 1.9), and score 4 (T_SUVmax > 4.5 and N_SUVmax > 1.9) in the training cohort. The new staging system yielded five risk categories: category I (TNM I, II and MS 1), category II (TNM I, II and MS 2), category III (TNM I, II and MS ≥ 3), category IV (TNM III, IV and MS ≤ 3), and category V (TNM III, IV and MS 4) in the training cohort. DSS differed significantly between both staging systems; the new staging system showed better prognostic performance in both training and validation cohorts. The MS was an independent prognostic factor for DSS, and discriminatory power of the new staging system for DSS was better than that of the conventional TNM staging system alone. |
| ArticleNumber | 20681 |
| Author | Won, Kyoung Sook Kim, Hae Won Ryu, Seung Wan Son, Young-Gil Kang, Yoo Na Kim, Sung Hoon Song, Bong-Il |
| Author_xml | – sequence: 1 givenname: Sung Hoon surname: Kim fullname: Kim, Sung Hoon organization: Department of Nuclear Medicine, Keimyung University School of Medicine, Department of Nuclear Medicine, Yeungnam University Hospital – sequence: 2 givenname: Bong-Il surname: Song fullname: Song, Bong-Il email: song@dsmc.or.kr organization: Department of Nuclear Medicine, Keimyung University School of Medicine, Department of Nuclear Medicine, Keimyung University Dongsan Hospital – sequence: 3 givenname: Hae Won surname: Kim fullname: Kim, Hae Won organization: Department of Nuclear Medicine, Keimyung University School of Medicine, Department of Nuclear Medicine, Keimyung University Dongsan Hospital – sequence: 4 givenname: Kyoung Sook surname: Won fullname: Won, Kyoung Sook organization: Department of Nuclear Medicine, Keimyung University School of Medicine, Department of Nuclear Medicine, Keimyung University Dongsan Hospital – sequence: 5 givenname: Young-Gil surname: Son fullname: Son, Young-Gil organization: Department of Surgery, Keimyung University Dongsan Hospital, Keimyung University School of Medicine – sequence: 6 givenname: Seung Wan surname: Ryu fullname: Ryu, Seung Wan organization: Department of Surgery, Keimyung University Dongsan Hospital, Keimyung University School of Medicine – sequence: 7 givenname: Yoo Na surname: Kang fullname: Kang, Yoo Na organization: Department of Forensic Medicine, Kyungpook National University School of Medicine |
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| Cites_doi | 10.1097/MD.0000000000001037 10.1016/j.gtc.2013.01.002 10.1007/s12149-013-0791-8 10.1200/JCO.2016.69.4836 10.4251/wjgo.v12.i4.447 10.1007/s00432-010-0852-5 10.3348/kjr.2019.0672 10.1001/jamaoto.2016.3802 10.2967/jnumed.111.098640 10.1007/s00268-003-7191-5 10.1007/s00259-012-2116-x 10.3748/wjg.v23.i44.7881 10.1371/journal.pone.0166836 10.5230/jgc.2014.14.1.1 10.3748/wjg.v20.i7.1635 10.1016/j.ejso.2008.11.010 10.1245/s10434-017-5860-0 10.3748/wjg.v24.i32.3583 10.1245/s10434-017-6262-z 10.1093/annonc/mdq716 10.1007/s13139-015-0327-3 10.3322/caac.21660 10.1097/SLA.0000000000001523 10.1016/j.cpet.2015.03.008 10.1198/106186006X133933 10.1002/cam4.1394 10.1245/s10434-018-6455-0 |
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| References | Lee (CR28) 2017; 143 Song, Kim, Won (CR21) 2017; 24 Correa (CR3) 2013; 42 Sung (CR1) 2021; 71 Wang (CR27) 2011; 22 Bartley (CR5) 2017; 35 Song (CR17) 2015; 94 Dassen, Lips, Hoekstra, Pruijt, Bosscha (CR11) 2009; 35 Hothorn, Hornik, Zeileis (CR26) 2006; 15 Woo (CR8) 2016; 264 Kim (CR10) 2020; 21 Song (CR12) 2020; 12 Cha (CR24) 2018; 7 Wang (CR22) 2016; 11 Yoh (CR23) 2018; 25 Yun (CR13) 2014; 14 Kudou (CR14) 2018; 25 Coupe (CR15) 2014; 28 CR7 Chung (CR18) 2010; 136 Song (CR25) 2012; 53 Orditura (CR4) 2014; 20 Mochiki (CR16) 2004; 28 Kim, Won, Song, Kang (CR20) 2015; 49 Lazăr (CR6) 2018; 24 Park (CR19) 2012; 39 Malibari, Hickeson, Lisbona (CR9) 2015; 10 Tsai (CR2) 2017; 23 AN Bartley (24877_CR5) 2017; 35 HW Kim (24877_CR20) 2015; 49 MC Tsai (24877_CR2) 2017; 23 X Wang (24877_CR22) 2016; 11 T Yoh (24877_CR23) 2018; 25 J Cha (24877_CR24) 2018; 7 P Correa (24877_CR3) 2013; 42 SH Kim (24877_CR10) 2020; 21 AE Dassen (24877_CR11) 2009; 35 M Orditura (24877_CR4) 2014; 20 BI Song (24877_CR25) 2012; 53 HW Chung (24877_CR18) 2010; 136 T Hothorn (24877_CR26) 2006; 15 M Yun (24877_CR13) 2014; 14 W Wang (24877_CR27) 2011; 22 E Mochiki (24877_CR16) 2004; 28 NA Coupe (24877_CR15) 2014; 28 JC Park (24877_CR19) 2012; 39 N Malibari (24877_CR9) 2015; 10 CC Lee (24877_CR28) 2017; 143 BI Song (24877_CR17) 2015; 94 H Sung (24877_CR1) 2021; 71 Y Woo (24877_CR8) 2016; 264 DC Lazăr (24877_CR6) 2018; 24 24877_CR7 M Kudou (24877_CR14) 2018; 25 B-I Song (24877_CR12) 2020; 12 BI Song (24877_CR21) 2017; 24 |
| References_xml | – volume: 94 year: 2015 ident: CR17 article-title: Preoperative standardized uptake value of metastatic lymph nodes measured by 18F-FDG PET/CT improves the prediction of prognosis in gastric cancer publication-title: Medicine doi: 10.1097/MD.0000000000001037 contributor: fullname: Song – volume: 42 start-page: 211 year: 2013 end-page: 217 ident: CR3 article-title: Gastric cancer: Overview publication-title: Gastroenterol. Clin. N. Am. doi: 10.1016/j.gtc.2013.01.002 contributor: fullname: Correa – volume: 28 start-page: 128 year: 2014 end-page: 135 ident: CR15 article-title: Metabolic information on staging FDG-PET-CT as a prognostic tool in the evaluation of 97 patients with gastric cancer publication-title: Ann. Nucl. Med. doi: 10.1007/s12149-013-0791-8 contributor: fullname: Coupe – volume: 35 start-page: 446 year: 2017 end-page: 464 ident: CR5 article-title: HER2 testing and clinical decision making in gastroesophageal adenocarcinoma: Guideline from the College of American Pathologists, American Society for Clinical Pathology, and the American Society of Clinical Oncology publication-title: J. Clin. Oncol. doi: 10.1200/JCO.2016.69.4836 contributor: fullname: Bartley – volume: 12 start-page: 447 year: 2020 end-page: 456 ident: CR12 article-title: Nomogram using F-18 fluorodeoxyglucose positron emission tomography/computed tomography for preoperative prediction of lymph node metastasis in gastric cancer publication-title: WJGO doi: 10.4251/wjgo.v12.i4.447 contributor: fullname: Song – volume: 136 start-page: 1929 year: 2010 end-page: 1935 ident: CR18 article-title: High FDG uptake in PET/CT predicts worse prognosis in patients with metastatic gastric adenocarcinoma publication-title: J. Cancer Res. Clin. Oncol. doi: 10.1007/s00432-010-0852-5 contributor: fullname: Chung – volume: 21 start-page: 829 year: 2020 ident: CR10 article-title: Prognostic value of restaging F-18 fluorodeoxyglucose positron emission tomography/computed tomography to predict 3-year post-recurrence survival in patients with recurrent gastric cancer after curative resection publication-title: Korean J. Radiol. doi: 10.3348/kjr.2019.0672 contributor: fullname: Kim – volume: 143 start-page: 395 year: 2017 end-page: 402 ident: CR28 article-title: Prognostic performance of a new staging category to improve discrimination of disease-specific survival in nonmetastatic oral cancer publication-title: JAMA Otolaryngol. Head Neck Surg. doi: 10.1001/jamaoto.2016.3802 contributor: fullname: Lee – volume: 53 start-page: 1337 year: 2012 end-page: 1344 ident: CR25 article-title: 18F-FDG uptake by metastatic axillary lymph nodes on pretreatment PET/CT as a prognostic factor for recurrence in patients with invasive ductal breast cancer publication-title: J. Nucl. Med. doi: 10.2967/jnumed.111.098640 contributor: fullname: Song – volume: 28 start-page: 247 year: 2004 end-page: 253 ident: CR16 article-title: Evaluation of 18F-2-deoxy-2-fluoro-D-glucose positron emission tomography for gastric cancer publication-title: World J. Surg. doi: 10.1007/s00268-003-7191-5 contributor: fullname: Mochiki – volume: 39 start-page: 1107 year: 2012 end-page: 1116 ident: CR19 article-title: Predictive value of pretreatment metabolic activity measured by fluorodeoxyglucose positron emission tomography in patients with metastatic advanced gastric cancer: The maximal SUV of the stomach is a prognostic factor publication-title: Eur. J. Nucl. Med. Mol. Imaging doi: 10.1007/s00259-012-2116-x contributor: fullname: Park – volume: 23 start-page: 7881 year: 2017 end-page: 7887 ident: CR2 article-title: Health disparities are associated with gastric cancer mortality-to-incidence ratios in 57 countries publication-title: World J. Gastroenterol. doi: 10.3748/wjg.v23.i44.7881 contributor: fullname: Tsai – volume: 11 year: 2016 ident: CR22 article-title: Predictive role of the number of 18F-FDG-positive lymph nodes detected by PET/CT for pre-treatment evaluation of locally advanced gastric cancer publication-title: PLoS One doi: 10.1371/journal.pone.0166836 contributor: fullname: Wang – volume: 14 start-page: 1 year: 2014 end-page: 6 ident: CR13 article-title: Imaging of gastric cancer metabolism using 18 F-FDG PET/CT publication-title: J. Gastr. Cancer doi: 10.5230/jgc.2014.14.1.1 contributor: fullname: Yun – volume: 20 start-page: 1635 year: 2014 end-page: 1649 ident: CR4 article-title: Treatment of gastric cancer publication-title: World J. Gastroenterol. doi: 10.3748/wjg.v20.i7.1635 contributor: fullname: Orditura – volume: 35 start-page: 449 year: 2009 end-page: 455 ident: CR11 article-title: FDG-PET has no definite role in preoperative imaging in gastric cancer publication-title: Eur. J. Surg. Oncol. doi: 10.1016/j.ejso.2008.11.010 contributor: fullname: Bosscha – volume: 24 start-page: 2174 year: 2017 end-page: 2181 ident: CR21 article-title: Predictive value of 18F-FDG PET/CT for axillary lymph node metastasis in invasive ductal breast cancer publication-title: Ann. Surg. Oncol. doi: 10.1245/s10434-017-5860-0 contributor: fullname: Won – volume: 24 start-page: 3583 year: 2018 end-page: 3616 ident: CR6 article-title: Prognostic significance of tumor immune microenvironment and immunotherapy: Novel insights and future perspectives in gastric cancer publication-title: World J. Gastroenterol. doi: 10.3748/wjg.v24.i32.3583 contributor: fullname: Lazăr – volume: 25 start-page: 542 year: 2018 end-page: 549 ident: CR23 article-title: Proposal of a new preoperative prognostic model for solitary hepatocellular carcinoma incorporating 18F-FDG-PET imaging with the ALBI grade publication-title: Ann. Surg. Oncol. doi: 10.1245/s10434-017-6262-z contributor: fullname: Yoh – volume: 22 start-page: 2049 year: 2011 end-page: 2056 ident: CR27 article-title: Tumor-ratio-metastasis staging system as an alternative to the 7th edition UICC TNM system in gastric cancer after D2 resection-results of a single-institution study of 1343 Chinese patients publication-title: Ann. Oncol. doi: 10.1093/annonc/mdq716 contributor: fullname: Wang – volume: 49 start-page: 135 year: 2015 end-page: 142 ident: CR20 article-title: Correlation of primary tumor FDG uptake with histopathologic features of advanced gastric cancer publication-title: Nucl. Med. Mol. Imaging doi: 10.1007/s13139-015-0327-3 contributor: fullname: Kang – volume: 71 start-page: 209 year: 2021 end-page: 249 ident: CR1 article-title: Global Cancer Statistics 2020: GLOBOCAN Estimates of incidence and mortality worldwide for 36 cancers in 185 countries publication-title: CA Cancer J. Clin. doi: 10.3322/caac.21660 contributor: fullname: Sung – volume: 264 start-page: 114 year: 2016 end-page: 120 ident: CR8 article-title: A novel prediction model of prognosis after gastrectomy for gastric carcinoma: Development and validation using asian databases publication-title: Ann. Surg. doi: 10.1097/SLA.0000000000001523 contributor: fullname: Woo – volume: 10 start-page: 311 year: 2015 end-page: 326 ident: CR9 article-title: PET/computed tomography in the diagnosis and staging of gastric cancers publication-title: PET Clin. doi: 10.1016/j.cpet.2015.03.008 contributor: fullname: Lisbona – ident: CR7 – volume: 15 start-page: 651 year: 2006 end-page: 674 ident: CR26 article-title: Unbiased recursive partitioning: A conditional inference framework publication-title: J. Comput. Graph. Stat. doi: 10.1198/106186006X133933 contributor: fullname: Zeileis – volume: 7 start-page: 1127 year: 2018 end-page: 1134 ident: CR24 article-title: A hierarchical prognostic model for risk stratification in patients with early breast cancer according to F-fludeoxyglucose uptake and clinicopathological parameters publication-title: Cancer Med. doi: 10.1002/cam4.1394 contributor: fullname: Cha – volume: 25 start-page: 1633 year: 2018 end-page: 1639 ident: CR14 article-title: Value of preoperative PET-CT in the prediction of pathological stage of gastric cancer publication-title: Ann. Surg. Oncol. doi: 10.1245/s10434-018-6455-0 contributor: fullname: Kudou – volume: 20 start-page: 1635 year: 2014 ident: 24877_CR4 publication-title: World J. Gastroenterol. doi: 10.3748/wjg.v20.i7.1635 contributor: fullname: M Orditura – volume: 24 start-page: 3583 year: 2018 ident: 24877_CR6 publication-title: World J. Gastroenterol. doi: 10.3748/wjg.v24.i32.3583 contributor: fullname: DC Lazăr – volume: 143 start-page: 395 year: 2017 ident: 24877_CR28 publication-title: JAMA Otolaryngol. Head Neck Surg. doi: 10.1001/jamaoto.2016.3802 contributor: fullname: CC Lee – volume: 24 start-page: 2174 year: 2017 ident: 24877_CR21 publication-title: Ann. Surg. Oncol. doi: 10.1245/s10434-017-5860-0 contributor: fullname: BI Song – volume: 10 start-page: 311 year: 2015 ident: 24877_CR9 publication-title: PET Clin. doi: 10.1016/j.cpet.2015.03.008 contributor: fullname: N Malibari – volume: 22 start-page: 2049 year: 2011 ident: 24877_CR27 publication-title: Ann. Oncol. doi: 10.1093/annonc/mdq716 contributor: fullname: W Wang – volume: 28 start-page: 128 year: 2014 ident: 24877_CR15 publication-title: Ann. Nucl. Med. doi: 10.1007/s12149-013-0791-8 contributor: fullname: NA Coupe – volume: 136 start-page: 1929 year: 2010 ident: 24877_CR18 publication-title: J. Cancer Res. Clin. Oncol. doi: 10.1007/s00432-010-0852-5 contributor: fullname: HW Chung – volume: 35 start-page: 449 year: 2009 ident: 24877_CR11 publication-title: Eur. J. Surg. Oncol. doi: 10.1016/j.ejso.2008.11.010 contributor: fullname: AE Dassen – volume: 94 year: 2015 ident: 24877_CR17 publication-title: Medicine doi: 10.1097/MD.0000000000001037 contributor: fullname: BI Song – volume: 15 start-page: 651 year: 2006 ident: 24877_CR26 publication-title: J. Comput. Graph. Stat. doi: 10.1198/106186006X133933 contributor: fullname: T Hothorn – volume: 35 start-page: 446 year: 2017 ident: 24877_CR5 publication-title: J. Clin. Oncol. doi: 10.1200/JCO.2016.69.4836 contributor: fullname: AN Bartley – volume: 12 start-page: 447 year: 2020 ident: 24877_CR12 publication-title: WJGO doi: 10.4251/wjgo.v12.i4.447 contributor: fullname: B-I Song – volume: 25 start-page: 542 year: 2018 ident: 24877_CR23 publication-title: Ann. Surg. Oncol. doi: 10.1245/s10434-017-6262-z contributor: fullname: T Yoh – volume: 53 start-page: 1337 year: 2012 ident: 24877_CR25 publication-title: J. Nucl. Med. doi: 10.2967/jnumed.111.098640 contributor: fullname: BI Song – volume: 71 start-page: 209 year: 2021 ident: 24877_CR1 publication-title: CA Cancer J. Clin. doi: 10.3322/caac.21660 contributor: fullname: H Sung – volume: 25 start-page: 1633 year: 2018 ident: 24877_CR14 publication-title: Ann. Surg. Oncol. doi: 10.1245/s10434-018-6455-0 contributor: fullname: M Kudou – ident: 24877_CR7 – volume: 39 start-page: 1107 year: 2012 ident: 24877_CR19 publication-title: Eur. J. Nucl. Med. Mol. Imaging doi: 10.1007/s00259-012-2116-x contributor: fullname: JC Park – volume: 264 start-page: 114 year: 2016 ident: 24877_CR8 publication-title: Ann. Surg. doi: 10.1097/SLA.0000000000001523 contributor: fullname: Y Woo – volume: 23 start-page: 7881 year: 2017 ident: 24877_CR2 publication-title: World J. Gastroenterol. doi: 10.3748/wjg.v23.i44.7881 contributor: fullname: MC Tsai – volume: 21 start-page: 829 year: 2020 ident: 24877_CR10 publication-title: Korean J. Radiol. doi: 10.3348/kjr.2019.0672 contributor: fullname: SH Kim – volume: 14 start-page: 1 year: 2014 ident: 24877_CR13 publication-title: J. Gastr. Cancer doi: 10.5230/jgc.2014.14.1.1 contributor: fullname: M Yun – volume: 7 start-page: 1127 year: 2018 ident: 24877_CR24 publication-title: Cancer Med. doi: 10.1002/cam4.1394 contributor: fullname: J Cha – volume: 42 start-page: 211 year: 2013 ident: 24877_CR3 publication-title: Gastroenterol. Clin. N. Am. doi: 10.1016/j.gtc.2013.01.002 contributor: fullname: P Correa – volume: 28 start-page: 247 year: 2004 ident: 24877_CR16 publication-title: World J. Surg. doi: 10.1007/s00268-003-7191-5 contributor: fullname: E Mochiki – volume: 49 start-page: 135 year: 2015 ident: 24877_CR20 publication-title: Nucl. Med. Mol. Imaging doi: 10.1007/s13139-015-0327-3 contributor: fullname: HW Kim – volume: 11 year: 2016 ident: 24877_CR22 publication-title: PLoS One doi: 10.1371/journal.pone.0166836 contributor: fullname: X Wang |
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| Snippet | We developed and validated a new staging system that includes metabolic information from pretreatment [
18
F]Fluorodeoxyglucose ([
18
F]FDG) positron emission... We developed and validated a new staging system that includes metabolic information from pretreatment [ F]Fluorodeoxyglucose ([ F]FDG) positron emission... Abstract We developed and validated a new staging system that includes metabolic information from pretreatment [ 18 F]Fluorodeoxyglucose ([ 18 F]FDG) positron... We developed and validated a new staging system that includes metabolic information from pretreatment [18F]Fluorodeoxyglucose ([18F]FDG) positron emission... Abstract We developed and validated a new staging system that includes metabolic information from pretreatment [18F]Fluorodeoxyglucose ([18F]FDG) positron... |
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| SubjectTerms | 692/699/67/1504 692/699/67/2321 Computed tomography Fluorodeoxyglucose F18 Gastric cancer Humanities and Social Sciences Humans Lymph Nodes Metabolism Metastases multidisciplinary Positron emission tomography Positron Emission Tomography Computed Tomography Prognosis Science Science (multidisciplinary) Stomach Neoplasms - diagnostic imaging Tomography Training Tumors |
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| Title | Prognostic value of the metabolic score obtained via [18F]FDG PET/CT and a new prognostic staging system for gastric cancer |
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