{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T01:56:18Z","timestamp":1790646978505,"version":"4.1.0"},"reference-count":44,"publisher":"Springer Science and Business Media LLC","issue":"10","license":[{"start":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T00:00:00Z","timestamp":1780012800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T00:00:00Z","timestamp":1780012800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Ann Nucl Med"],"published-print":{"date-parts":[[2026,10]]},"DOI":"10.1007\/s12149-026-02240-x","type":"journal-article","created":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T10:48:55Z","timestamp":1780051735000},"page":"1161-1173","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["FDG-PET\/CT Parameters for distinguishing high and low microsatellite instability in colorectal cancer: A systematic review and Meta-analysis"],"prefix":"10.1007","volume":"40","author":[{"given":"Nima Broomand","family":"Lomer","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sajjad","family":"Sadeghpour","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8999-9735","authenticated-orcid":false,"given":"Drew A.","family":"Torigian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,5,29]]},"reference":[{"issue":"3","key":"2240_CR1","first-page":"229","volume":"74","author":"F Bray","year":"2024","unstructured":"Bray F, Laversanne M, Sung H, Ferlay J, Siegel RL, Soerjomataram I, et al. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2024;74(3):229\u201363.","journal-title":"CA Cancer J Clin"},{"issue":"6","key":"2240_CR2","doi-asserted-by":"publisher","first-page":"435","DOI":"10.1038\/nrg1348","volume":"5","author":"H Ellegren","year":"2004","unstructured":"Ellegren H. Microsatellites: simple sequences with complex evolution. Nat Rev Genet. 2004;5(6):435\u201345.","journal-title":"Nat Rev Genet"},{"issue":"9","key":"2240_CR3","doi-asserted-by":"publisher","first-page":"2350","DOI":"10.3390\/cancers12092350","volume":"12","author":"R Cohen","year":"2020","unstructured":"Cohen R, Pudlarz T, Delattre J-F, Colle R, Andr\u00e9 T. Molecular targets for the treatment of metastatic colorectal cancer. Cancers. 2020;12(9):2350.","journal-title":"Cancers"},{"issue":"11","key":"2240_CR4","first-page":"735","volume":"16","author":"F Battaglin","year":"2018","unstructured":"Battaglin F, Naseem M, Lenz H-J, Salem ME. Microsatellite instability in colorectal cancer: overview of its clinical significance and novel perspectives. Clin Adv Hematol Oncol. 2018;16(11):735.","journal-title":"Clin Adv Hematol Oncol"},{"issue":"3","key":"2240_CR5","doi-asserted-by":"publisher","first-page":"365","DOI":"10.1016\/j.ejca.2008.07.016","volume":"45","author":"R Jover","year":"2009","unstructured":"Jover R, Zapater P, Castells A, Llor X, Andreu M, Cubiella J, et al. The efficacy of adjuvant chemotherapy with 5-fluorouracil in colorectal cancer depends on the mismatch repair status. Eur J Cancer. 2009;45(3):365\u201373.","journal-title":"Eur J Cancer"},{"issue":"1","key":"2240_CR6","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1158\/1078-0432.CCR-18-1984","volume":"25","author":"HH Yoon","year":"2019","unstructured":"Yoon HH, Shi Q, Heying EN, Muranyi A, Bredno J, Ough F, et al. Intertumoral heterogeneity of CD3\u2009+\u2009and CD8\u2009+\u2009T-cell densities in the microenvironment of DNA mismatch-repair\u2013deficient colon cancers: implications for prognosis. Clin Cancer Res. 2019;25(1):125\u201333.","journal-title":"Clin Cancer Res"},{"issue":"26","key":"2240_CR7","doi-asserted-by":"publisher","first-page":"2509","DOI":"10.1056\/NEJMoa1500596","volume":"372","author":"DT Le","year":"2015","unstructured":"Le DT, Uram JN, Wang H, Bartlett BR, Kemberling H, Eyring AD, et al. PD-1 blockade in tumors with mismatch-repair deficiency. N Engl J Med. 2015;372(26):2509\u201320.","journal-title":"N Engl J Med"},{"issue":"1\u20132","key":"2240_CR8","doi-asserted-by":"publisher","first-page":"72","DOI":"10.1159\/000486721","volume":"85","author":"X Sagaert","year":"2018","unstructured":"Sagaert X, Vanstapel A, Verbeek S. Tumor heterogeneity in colorectal cancer: what do we know so far? Pathobiology. 2018;85(1\u20132):72\u201384.","journal-title":"Pathobiology"},{"issue":"3","key":"2240_CR9","doi-asserted-by":"publisher","first-page":"329","DOI":"10.6004\/jnccn.2021.0012","volume":"19","author":"AB Benson","year":"2021","unstructured":"Benson AB, Venook AP, Al-Hawary MM, Arain MA, Chen Y-J, Ciombor KK, et al. Colon cancer, version 2.2021, NCCN clinical practice guidelines in oncology. J Natl Compr Canc Netw. 2021;19(3):329\u201359.","journal-title":"J Natl Compr Canc Netw"},{"issue":"8","key":"2240_CR10","doi-asserted-by":"publisher","first-page":"1232","DOI":"10.1093\/annonc\/mdz116","volume":"30","author":"C Luchini","year":"2019","unstructured":"Luchini C, Bibeau F, Ligtenberg M, Singh N, Nottegar A, Bosse T, et al. ESMO recommendations on microsatellite instability testing for immunotherapy in cancer, and its relationship with PD-1\/PD-L1 expression and tumour mutational burden: a systematic review-based approach. Ann Oncol. 2019;30(8):1232\u201343.","journal-title":"Ann Oncol"},{"issue":"1","key":"2240_CR11","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-023-42453-6","volume":"14","author":"C Saillard","year":"2023","unstructured":"Saillard C, Dubois R, Tchita O, Loiseau N, Garcia T, Adriansen A, et al. Validation of MSIntuit as an AI-based pre-screening tool for MSI detection from colorectal cancer histology slides. Nat Commun. 2023;14(1):6695.","journal-title":"Nat Commun"},{"key":"2240_CR12","doi-asserted-by":"publisher","DOI":"10.1007\/s00261-025-04933-9","author":"N Broomand Lomer","year":"2025","unstructured":"Broomand Lomer N, Nouri A, Singh R, Asgari S. Diagnostic performance of radiomics models for preoperative prediction of microsatellite instability status in endometrial cancer: a systematic review and meta-analysis. Abdom Radiol. 2025. https:\/\/doi.org\/10.1007\/s00261-025-04933-9.","journal-title":"Abdom Radiol"},{"issue":"6","key":"2240_CR13","doi-asserted-by":"publisher","first-page":"e0129028","DOI":"10.1371\/journal.pone.0129028","volume":"10","author":"SM Deng","year":"2015","unstructured":"Deng SM, Zhang W, Zhang B, Chen YY, Li JH, Wu YW. Correlation between the Uptake of 18F-Fluorodeoxyglucose (18F-FDG) and the Expression of Proliferation-Associated Antigen Ki-67 in Cancer Patients: A Meta-Analysis. PLoS ONE. 2015;10(6):e0129028.","journal-title":"PLoS ONE"},{"issue":"4","key":"2240_CR14","first-page":"527","volume":"79","author":"K Kitajima","year":"2017","unstructured":"Kitajima K, Nakajo M, Kaida H, Minamimoto R, Hirata K, Tsurusaki M, et al. Present and future roles of FDG-PET\/CT imaging in the management of gastrointestinal cancer: an update. Nagoya J Med Sci. 2017;79(4):527\u201343.","journal-title":"Nagoya J Med Sci"},{"key":"2240_CR15","doi-asserted-by":"publisher","DOI":"10.3389\/fimmu.2021.724464","volume":"12","author":"H Liu","year":"2021","unstructured":"Liu H, Ye Z, Yang T, Xie H, Duan T, Li M, et al. Predictive value of metabolic parameters derived from 18F-FDG PET\/CT for microsatellite instability in patients with colorectal carcinoma. Front Immunol. 2021;12:724464.","journal-title":"Front Immunol"},{"issue":"1","key":"2240_CR16","doi-asserted-by":"publisher","DOI":"10.1186\/s12885-022-09871-z","volume":"22","author":"J Song","year":"2022","unstructured":"Song J, Li Z, Yang L, Wei M, Yang Z, Wang X. Metabolic activity via 18F-FDG PET\/CT is predictive of microsatellite instability status in colorectal cancer. BMC Cancer. 2022;22(1):808.","journal-title":"BMC Cancer"},{"key":"2240_CR17","doi-asserted-by":"crossref","unstructured":"Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;372.","DOI":"10.1136\/bmj.n71"},{"key":"2240_CR18","doi-asserted-by":"publisher","DOI":"10.4324\/9780203771587","volume-title":"Statistical power analysis for the behavioral sciences","author":"J Cohen","year":"2013","unstructured":"Cohen J. Statistical power analysis for the behavioral sciences. routledge; 2013."},{"issue":"6","key":"2240_CR19","doi-asserted-by":"publisher","first-page":"1785","DOI":"10.1177\/0962280216669183","volume":"27","author":"D Luo","year":"2018","unstructured":"Luo D, Wan X, Liu J, Tong T. Optimally estimating the sample mean from the sample size, median, mid-range, and\/or mid-quartile range. Stat Methods Med Res. 2018;27(6):1785\u2013805.","journal-title":"Stat Methods Med Res"},{"issue":"5","key":"2240_CR20","doi-asserted-by":"publisher","first-page":"641","DOI":"10.1002\/jrsm.1429","volume":"11","author":"J Shi","year":"2020","unstructured":"Shi J, Luo D, Weng H, Zeng XT, Lin L, Chu H, et al. Optimally estimating the sample standard deviation from the five-number summary. Res Synth Methods. 2020;11(5):641\u201354.","journal-title":"Res Synth Methods"},{"issue":"1","key":"2240_CR21","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1186\/1471-2288-14-135","volume":"14","author":"X Wan","year":"2014","unstructured":"Wan X, Wang W, Liu J, Tong T. Estimating the sample mean and standard deviation from the sample size, median, range and\/or interquartile range. BMC Med Res Methodol. 2014;14(1):135.","journal-title":"BMC Med Res Methodol"},{"issue":"7","key":"2240_CR22","doi-asserted-by":"publisher","first-page":"1338","DOI":"10.1177\/09622802231172043","volume":"32","author":"J Shi","year":"2023","unstructured":"Shi J, Luo D, Wan X, Liu Y, Liu J, Bian Z, et al. Detecting the skewness of data from the five-number summary and its application in meta-analysis. Stat Methods Med Res. 2023;32(7):1338\u201360.","journal-title":"Stat Methods Med Res"},{"issue":"11","key":"2240_CR23","doi-asserted-by":"publisher","first-page":"1539","DOI":"10.1002\/sim.1186","volume":"21","author":"JP Higgins","year":"2002","unstructured":"Higgins JP, Thompson SG. Quantifying heterogeneity in a meta-analysis. Stat Med. 2002;21(11):1539\u201358.","journal-title":"Stat Med"},{"key":"2240_CR24","doi-asserted-by":"crossref","unstructured":"Begg CB, Mazumdar M. Operating characteristics of a rank correlation test for publication bias. Biometrics. 1994:1088\u2009\u2013\u2009101.","DOI":"10.2307\/2533446"},{"issue":"2","key":"2240_CR25","doi-asserted-by":"publisher","first-page":"455","DOI":"10.1111\/j.0006-341X.2000.00455.x","volume":"56","author":"S Duval","year":"2000","unstructured":"Duval S, Tweedie R. Trim and fill: a simple funnel-plot\u2013based method of testing and adjusting for publication bias in meta-analysis. Biometrics. 2000;56(2):455\u201363.","journal-title":"Biometrics"},{"issue":"11","key":"2240_CR26","doi-asserted-by":"publisher","first-page":"7450","DOI":"10.1007\/s00330-023-09832-5","volume":"33","author":"J Cha","year":"2023","unstructured":"Cha J, Kim H, Shin HJ, Lee M, Jun S, Kang WJ, et al. Does high [18F] FDG uptake always mean poor prognosis? Colon cancer with high-level microsatellite instability is associated with high [18F] FDG uptake on PET\/CT. Eur Radiol. 2023;33(11):7450\u201360.","journal-title":"Eur Radiol"},{"key":"2240_CR27","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-025-11732-9","author":"W Guo","year":"2025","unstructured":"Guo W, Jiang H, Wang C, Wang Y, Wang M, Yang X, et al. Predictive value of [18F] FDG PET-derived parameters for microsatellite instability and prognosis in patients with colorectal cancer. Eur Radiol. 2025. https:\/\/doi.org\/10.1007\/s00330-025-11732-9.","journal-title":"Eur Radiol"},{"key":"2240_CR28","doi-asserted-by":"crossref","unstructured":"Kim S, Lee J-H, Park EJ, Lee HS, Baik SH, Jeon TJ, et al. Prediction of microsatellite instability in colorectal cancer using a machine learning model based on PET\/CT radiomics. Yonsei Med J. 2023;64(5):320.","DOI":"10.3349\/ymj.2022.0548"},{"issue":"10","key":"2240_CR29","doi-asserted-by":"publisher","first-page":"3501","DOI":"10.31557\/APJCP.2022.23.10.3501","volume":"23","author":"SS Lee","year":"2022","unstructured":"Lee SS, Choi SJ, Park JS. Correlations among KRAS mutation, microsatellite instability, and 18F-FDG uptake in colon cancer. Asian Pac J Cancer Prev. 2022;23(10):3501.","journal-title":"Asian Pac J Cancer Prev"},{"key":"2240_CR30","doi-asserted-by":"publisher","DOI":"10.3389\/fonc.2021.702055","volume":"11","author":"J Li","year":"2021","unstructured":"Li J, Yang Z, Xin B, Hao Y, Wang L, Song S, et al. Quantitative prediction of microsatellite instability in colorectal cancer with preoperative PET\/CT-based radiomics. Front Oncol. 2021;11:702055.","journal-title":"Front Oncol"},{"issue":"1","key":"2240_CR31","first-page":"7","volume":"45","author":"C Qiaoliang","year":"2025","unstructured":"Qiaoliang C, Xiang L, Ruihe L, Shuangxiu T, Jian H. Predictive value of 18F-FDG PET-related metabolic parameters for microsatellite instabilityhigh (MSI-H) status and HER2 gene amplification in colorectal cancer. Chin J Nuclear Med Mol Imaging. 2025;45(1):7\u201312.","journal-title":"Chin J Nuclear Med Mol Imaging"},{"issue":"2","key":"2240_CR32","doi-asserted-by":"publisher","first-page":"124","DOI":"10.47582\/jompac.1462904","volume":"5","author":"\u015eA Tuzcu","year":"2023","unstructured":"Tuzcu \u015eA, \u00c7etin \u0130E, G\u00fczel F, \u00c7etinkaya E, Ta\u015fdemir B, B\u00fcy\u00fckbayram H. Evaluation of metabolic parameters of microsatellites stable and instable colorectal cancer patients via PET\/CT. J Med Palliat Care. 2023;5(2):124\u20138.","journal-title":"J Med Palliat Care"},{"key":"2240_CR33","doi-asserted-by":"publisher","first-page":"1065744","DOI":"10.3389\/fonc.2023.1065744","volume":"13","author":"L Zhang","year":"2023","unstructured":"Zhang L, Liu Y, Ding Y, Deng Y, Chen H, Hu F, et al. Predictive value of intratumoral-metabolic heterogeneity derived from (18)F-FDG PET\/CT in distinguishing microsatellite instability status of colorectal carcinoma. Front Oncol. 2023;13:1065744.","journal-title":"Front Oncol"},{"issue":"1","key":"2240_CR34","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1186\/s40644-024-00698-4","volume":"24","author":"JW Lee","year":"2024","unstructured":"Lee JW, Ahn H, Yoo ID, Hong SP, Baek MJ, Kang DH, et al. Relationship of FDG PET\/CT imaging features with tumor immune microenvironment and prognosis in colorectal cancer: a retrospective study. Cancer Imaging. 2024;24(1):53.","journal-title":"Cancer Imaging"},{"issue":"5","key":"2240_CR35","doi-asserted-by":"publisher","first-page":"1137","DOI":"10.1172\/JCI31405","volume":"117","author":"JB Swann","year":"2007","unstructured":"Swann JB, Smyth MJ. Immune surveillance of tumors. J Clin Investig. 2007;117(5):1137\u201346.","journal-title":"J Clin Investig"},{"issue":"8","key":"2240_CR36","doi-asserted-by":"publisher","first-page":"513","DOI":"10.1007\/s12149-016-1089-4","volume":"30","author":"DA Dos Anjos","year":"2016","unstructured":"Dos Anjos DA, Habr-Gama A, Vailati BB, Rossi CB, Coturel AE, Perez RO, et al. (18)F-FDG uptake by rectal cancer is similar in mucinous and nonmucinous histological subtypes. Ann Nucl Med. 2016;30(8):513\u20137.","journal-title":"Ann Nucl Med"},{"issue":"8","key":"2240_CR37","doi-asserted-by":"publisher","first-page":"O161","DOI":"10.1111\/codi.13027","volume":"17","author":"YS Yoon","year":"2015","unstructured":"Yoon YS, Kim J, Hong SM, Lee JL, Kim CW, Park IJ, et al. Clinical implications of mucinous components correlated with microsatellite instability in patients with colorectal cancer. Colorectal Dis. 2015;17(8):O161\u20137.","journal-title":"Colorectal Dis"},{"issue":"2","key":"2240_CR38","doi-asserted-by":"publisher","first-page":"376","DOI":"10.2214\/AJR.19.22627","volume":"216","author":"MA Queiroz","year":"2021","unstructured":"Queiroz MA, Naves A, Dreyer PR, Cerri GG, Buchpiguel CA. PET\/MRI Characterization of Mucinous Versus Nonmucinous Components of Rectal Adenocarcinoma: A Comparison of Tumor Metabolism and Cellularity. AJR Am J Roentgenol. 2021;216(2):376\u201383.","journal-title":"AJR Am J Roentgenol"},{"issue":"44","key":"2240_CR39","doi-asserted-by":"publisher","DOI":"10.1097\/MD.0000000000040273","volume":"103","author":"B Zhu","year":"2024","unstructured":"Zhu B, Cheng L, Huang B, Liu R, Ren B. Central role of hypoxia-inducible factor-1\u03b1 in metabolic reprogramming of cancer cells: a review. Medicine (Baltimore). 2024;103(44):e40273.","journal-title":"Medicine (Baltimore)"},{"key":"2240_CR40","doi-asserted-by":"publisher","DOI":"10.3390\/cells9122598","author":"DC Belisario","year":"2020","unstructured":"Belisario DC, Kopecka J, Pasino M, Akman M, De Smaele E, Donadelli M, et al. Hypoxia dictates metabolic rewiring of tumors: implications for chemoresistance. Cells. 2020. https:\/\/doi.org\/10.3390\/cells9122598.","journal-title":"Cells"},{"issue":"1","key":"2240_CR41","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-021-91974-x","volume":"11","author":"F Dedeurwaerdere","year":"2021","unstructured":"Dedeurwaerdere F, Claes KBM, Van Dorpe J, Rottiers I, Van der Meulen J, Breyne J, et al. Comparison of microsatellite instability detection by immunohistochemistry and molecular techniques in colorectal and endometrial cancer. Sci Rep. 2021;11(1):12880.","journal-title":"Sci Rep"},{"issue":"1","key":"2240_CR42","doi-asserted-by":"publisher","first-page":"158","DOI":"10.1016\/j.ejrad.2014.10.018","volume":"84","author":"C Brendle","year":"2015","unstructured":"Brendle C, Kupferschl\u00e4ger J, Nikolaou K, la Foug\u00e8re C, Gatidis S, Pfannenberg C. Is the standard uptake value (SUV) appropriate for quantification in clinical PET imaging?\u2013Variability induced by different SUV measurements and varying reconstruction methods. Eur J Radiol. 2015;84(1):158\u201362.","journal-title":"Eur J Radiol"},{"issue":"2","key":"2240_CR43","doi-asserted-by":"publisher","first-page":"310","DOI":"10.2214\/AJR.10.4923","volume":"195","author":"MC Adams","year":"2010","unstructured":"Adams MC, Turkington TG, Wilson JM, Wong TZ. A systematic review of the factors affecting accuracy of SUV measurements. AJR Am J Roentgenol. 2010;195(2):310\u201320.","journal-title":"AJR Am J Roentgenol"},{"key":"2240_CR44","doi-asserted-by":"publisher","DOI":"10.3389\/fimmu.2022.1019582","volume":"13","author":"W-J Mei","year":"2022","unstructured":"Mei W-J, Mi M, Qian J, Xiao N, Yuan Y, Ding P-R. Clinicopathological characteristics of high microsatellite instability\/mismatch repair-deficient colorectal cancer: a narrative review. Front Immunol. 2022;13:1019582.","journal-title":"Front Immunol"}],"container-title":["Annals of Nuclear Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12149-026-02240-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12149-026-02240-x","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12149-026-02240-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T01:05:54Z","timestamp":1790643954000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12149-026-02240-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5,29]]},"references-count":44,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2026,10]]}},"alternative-id":["2240"],"URL":"https:\/\/doi.org\/10.1007\/s12149-026-02240-x","relation":{},"ISSN":["0914-7187","1864-6433"],"issn-type":[{"value":"0914-7187","type":"print"},{"value":"1864-6433","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,5,29]]},"assertion":[{"value":"10 January 2026","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 May 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 May 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}