{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T10:59:19Z","timestamp":1740135559038,"version":"3.37.3"},"reference-count":30,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2021,9,28]],"date-time":"2021-09-28T00:00:00Z","timestamp":1632787200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2021,9,28]],"date-time":"2021-09-28T00:00:00Z","timestamp":1632787200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Med Imaging"],"published-print":{"date-parts":[[2021,12]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec>\n                <jats:title>Background<\/jats:title>\n                <jats:p>To explore the diagnostic value of three different measurement approaches in differentiating T1a\u2013T1b from T2 gastric cancer (GC) lesions.\n<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Methods<\/jats:title>\n                <jats:p>A total of 95 consecutive patients with T1a\u2013T2 stage of GC who performed preoperative MRI were retrospectively enrolled between January 2017 and November 2020. The parameters MRI T stage (subjective evaluation), thickness, maximum area and volume of the lesions were evaluated by two radiologists. Specific indicators including AUC, optimal cutoff, sensitivity, specificity, accuracy, positive likelihood ratio (PLR), negative likelihood ratio (NLR), positive predictive value (PPV) and negative predictive value (NPV) of MRI T stage, thickness, maximum area and volume for differentiating T1a\u2013T1b from T2 stage lesions were calculated. The ROC curves were compared by the Delong test. Decision curve analysis (DCA) was used to evaluate the clinical benefit.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>The ROC curves for thickness (AUC\u2009=\u20090.926), maximum area (AUC\u2009=\u20090.902) and volume (AUC\u2009=\u20090.897) were all significantly better than those of the MRI T stage (AUC\u2009=\u20090.807) in differentiating T1a\u2013T1b from T2 lesions, with <jats:italic>p<\/jats:italic> values of 0.004, 0.034 and 0.041, respectively. The values corresponding to the thickness (including AUC, sensitivity, specificity, accuracy, PPV, NPV, PLR and NLR) were all higher than those corresponding to the MRI T stage, maximum area and volume. The DCA curves indicated that the parameter thickness could provide the highest clinical benefit if the threshold probability was above 35%.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusions<\/jats:title>\n                <jats:p>Thickness may provide an efficient approach to rapidly distinguish T1a\u2013T1b from T2 stage GC lesions.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/s12880-021-00672-7","type":"journal-article","created":{"date-parts":[[2021,9,28]],"date-time":"2021-09-28T19:06:39Z","timestamp":1632855999000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Differentiating T1a\u2013T1b from T2 in gastric cancer lesions with three different measurement approaches based on contrast-enhanced T1W imaging at 3.0\u00a0T"],"prefix":"10.1186","volume":"21","author":[{"given":"Yuan","family":"Yuan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shengnan","family":"Ren","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tiegong","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8596-9563","authenticated-orcid":false,"given":"Fu","family":"Shen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiang","family":"Hao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianping","family":"Lu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,9,28]]},"reference":[{"key":"672_CR1","doi-asserted-by":"publisher","first-page":"394","DOI":"10.3322\/caac.21492","volume":"68","author":"F Bray","year":"2018","unstructured":"Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68:394\u2013424.","journal-title":"CA Cancer J Clin"},{"key":"672_CR2","doi-asserted-by":"crossref","first-page":"101042831771462","DOI":"10.1177\/1010428317714626","volume":"39","author":"Z Song","year":"2017","unstructured":"Song Z, Wu Y, Yang J, Yang D, Fang X. Progress in the treatment of advanced gastric cancer. Tumour Biol. 2017;39:1010428317714626.","journal-title":"Tumour Biol"},{"key":"672_CR3","unstructured":"Gastric Cancer [Internet]. National Comprehensive Cancer Network, Inc. 2020. Available from: https:\/\/www.nccn.org\/professionals\/physician_gls\/f_guidelines.asp."},{"key":"672_CR4","doi-asserted-by":"publisher","first-page":"635","DOI":"10.1016\/S0140-6736(20)31288-5","volume":"396","author":"EC Smyth","year":"2020","unstructured":"Smyth EC, Nilsson M, Grabsch HI, et al. Gastric cancer. Lancet. 2020;396:635\u201348.","journal-title":"Lancet"},{"key":"672_CR5","first-page":"2335","volume":"16","author":"L Yang","year":"2018","unstructured":"Yang L, Li Y, Zhou T, et al. Effect of the degree of gastric filling on the measured thickness of advanced gastric cancer by computed tomography. Oncol Lett. 2018;16:2335\u201343.","journal-title":"Oncol Lett"},{"key":"672_CR6","doi-asserted-by":"publisher","first-page":"1051","DOI":"10.3748\/wjg.v17.i8.1051","volume":"17","author":"KJ Park","year":"2011","unstructured":"Park KJ, Lee MW, Koo JH, et al. Detection of early gastric cancer using hydro-stomach CT: blinded vs unblinded analysis. World J Gastroenterol. 2011;17:1051\u20137.","journal-title":"World J Gastroenterol"},{"key":"672_CR7","doi-asserted-by":"publisher","first-page":"W315","DOI":"10.2214\/AJR.07.2672","volume":"189","author":"JS Yu","year":"2007","unstructured":"Yu JS, Choi SH, Choi WH, et al. Value of nonvisualized primary lesions of gastric cancer on preoperative MDCT. AJR Am J Roentgenol. 2007;189:W315-319.","journal-title":"AJR Am J Roentgenol"},{"key":"672_CR8","doi-asserted-by":"publisher","first-page":"176","DOI":"10.5152\/dir.2019.19375","volume":"26","author":"Y Zhang","year":"2020","unstructured":"Zhang Y, Yu J. The role of MRI in the diagnosis and treatment of gastric cancer. Diagn Interv Radiol. 2020;26:176\u201382.","journal-title":"Diagn Interv Radiol"},{"key":"672_CR9","doi-asserted-by":"crossref","unstructured":"Borggreve AS, Goense L, HJF B, et al. Imaging strategies in the management of gastric cancer: current role and future potential of MRI. Br J Radiol. 2019;92:20181044.","DOI":"10.1259\/bjr.20181044"},{"key":"672_CR10","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1007\/s002619910003","volume":"25","author":"BC Kang","year":"2000","unstructured":"Kang BC, Kim JH, Kim KW, et al. Value of the dynamic and delayed MR sequence with Gd-DTPA in the T-staging of stomach cancer: correlation with the histopathology. Abdom Imaging. 2000;25:14\u201324.","journal-title":"Abdom Imaging"},{"key":"672_CR11","doi-asserted-by":"publisher","first-page":"872","DOI":"10.1097\/00004728-200011000-00009","volume":"24","author":"CK Wang","year":"2000","unstructured":"Wang CK, Kuo YT, Liu GC, et al. Dynamic contrast-enhanced subtraction and delayed MRI of gastric tumors: radiologic-pathologic correlation. J Comput Assist Tomogr. 2000;24:872\u20137.","journal-title":"J Comput Assist Tomogr"},{"key":"672_CR12","doi-asserted-by":"publisher","first-page":"699","DOI":"10.3892\/mco.2013.103","volume":"1","author":"C Lei","year":"2013","unstructured":"Lei C, Huang L, Wang Y, et al. Comparison of MRI and endoscope ultrasound detection in preoperative T\/N staging of gastric cancer. Mol Clin Oncol. 2013;1:699\u2013702.","journal-title":"Mol Clin Oncol"},{"key":"672_CR13","doi-asserted-by":"publisher","first-page":"275","DOI":"10.3892\/ol.2014.2135","volume":"8","author":"X Huo","year":"2014","unstructured":"Huo X, Yuan K, Shen Y, et al. Clinical value of magnetic resonance imaging in preoperative T staging of gastric cancer and postoperative pathological diagnosis. Oncol Lett. 2014;8:275\u201380.","journal-title":"Oncol Lett"},{"key":"672_CR14","first-page":"15639","volume":"8","author":"J Liang","year":"2015","unstructured":"Liang J, Lv H, Liu Q, et al. Role of diffusion-weighted magnetic resonance imaging and apparent diffusion coefficient values in the detection of gastric carcinoma. Int J Clin Exp Med. 2015;8:15639\u201347.","journal-title":"Int J Clin Exp Med"},{"key":"672_CR15","doi-asserted-by":"publisher","first-page":"1065","DOI":"10.1007\/s11547-009-0455-x","volume":"114","author":"M Anzidei","year":"2009","unstructured":"Anzidei M, Napoli A, Zaccagna F, et al. Diagnostic performance of 64-MDCT and 1.5-T MRI with high-resolution sequences in the T staging of gastric cancer: a comparative analysis with histopathology. Radiol Med. 2009;114:1065\u201379.","journal-title":"Radiol Med"},{"key":"672_CR16","doi-asserted-by":"publisher","first-page":"122","DOI":"10.1016\/j.clinimag.2013.12.001","volume":"38","author":"S Liu","year":"2014","unstructured":"Liu S, He J, Guan W, et al. Added value of diffusion-weighted MR imaging to T2-weighted and dynamic contrast-enhanced MR imaging in T staging of gastric cancer. Clin Imaging. 2014;38:122\u20138.","journal-title":"Clin Imaging"},{"key":"672_CR17","doi-asserted-by":"publisher","first-page":"1551","DOI":"10.2214\/ajr.174.6.1741551","volume":"174","author":"KM Sohn","year":"2000","unstructured":"Sohn KM, Lee JM, Lee SY, et al. Comparing MR imaging and CT in the staging of gastric carcinoma. AJR Am J Roentgenol. 2000;174:1551\u20137.","journal-title":"AJR Am J Roentgenol"},{"key":"672_CR18","doi-asserted-by":"publisher","first-page":"3105","DOI":"10.1007\/s00330-014-3316-5","volume":"24","author":"JT Hallinan","year":"2014","unstructured":"Hallinan JT, Venkatesh SK, Peter L, et al. CT volumetry for gastric carcinoma: association with TNM stage. Eur Radiol. 2014;24:3105\u201314.","journal-title":"Eur Radiol"},{"key":"672_CR19","doi-asserted-by":"publisher","first-page":"12432","DOI":"10.18632\/oncotarget.23478","volume":"9","author":"XL Chen","year":"2018","unstructured":"Chen XL, Pu H, Yin LL, et al. CT volumetry for gastric adenocarcinoma: association with lymphovascular invasion and T-stages. Oncotarget. 2018;9:12432\u201342.","journal-title":"Oncotarget"},{"key":"672_CR20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-40618-3","volume-title":"AJCC cancer staging manual","author":"MB Amin","year":"2017","unstructured":"Amin MB, Edge S, Greene F, Byrd DR, Brookland RK, Washington MK. AJCC cancer staging manual. 8th ed. New York: Springer; 2017.","edition":"8"},{"key":"672_CR21","doi-asserted-by":"publisher","first-page":"159","DOI":"10.2307\/2529310","volume":"33","author":"JR Landis","year":"1977","unstructured":"Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33:159\u201374.","journal-title":"Biometrics"},{"key":"672_CR22","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1016\/j.jcm.2016.02.012","volume":"15","author":"TK Koo","year":"2016","unstructured":"Koo TK, Li MY. A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med. 2016;15:155\u201363.","journal-title":"J Chiropr Med"},{"key":"672_CR23","doi-asserted-by":"publisher","first-page":"20140552","DOI":"10.1259\/bjr.20140552","volume":"88","author":"Z Huang","year":"2015","unstructured":"Huang Z, Xie DH, Guo L, et al. The utility of MRI for pre-operative T and N staging of gastric carcinoma: a systematic review and meta-analysis. Br J Radiol. 2015;88:20140552.","journal-title":"Br J Radiol"},{"issue":"5","key":"672_CR24","doi-asserted-by":"publisher","first-page":"184","DOI":"10.3109\/07357907.2014.896014","volume":"32","author":"R Caivano","year":"2014","unstructured":"Caivano R, Rabasco P, Lotumolo A, et al. Gastric cancer: the role of diffusion weighted imaging in the preoperative staging. Cancer Invest. 2014;32(5):184\u201390.","journal-title":"Cancer Invest"},{"key":"672_CR25","doi-asserted-by":"publisher","first-page":"827","DOI":"10.1016\/j.crad.2014.03.017","volume":"69","author":"KM Jang","year":"2014","unstructured":"Jang KM, Kim SH, Lee SJ, et al. Upper abdominal gadoxetic acid-enhanced and diffusion-weighted MRI for the detection of gastric cancer: comparison with two-dimensional multidetector row CT. Clin Radiol. 2014;69:827\u201335.","journal-title":"Clin Radiol"},{"key":"672_CR26","doi-asserted-by":"publisher","first-page":"841","DOI":"10.1148\/radiol.14141878","volume":"275","author":"I Yamada","year":"2015","unstructured":"Yamada I, Miyasaka N, Hikishima K, et al. Gastric carcinoma: ex vivo MR imaging at 7.0 T-correlation with histopathologic findings. Radiology. 2015;275:841\u20138.","journal-title":"Radiology"},{"key":"672_CR27","doi-asserted-by":"publisher","first-page":"144","DOI":"10.1016\/j.mri.2015.10.007","volume":"34","author":"I Yamada","year":"2016","unstructured":"Yamada I, Hikishima K, Miyasaka N, et al. Gastric carcinoma: evaluation with diffusion-tensor MR imaging and tractography ex vivo. Magn Reson Imaging. 2016;34:144\u201351.","journal-title":"Magn Reson Imaging"},{"key":"672_CR28","doi-asserted-by":"publisher","first-page":"354","DOI":"10.1016\/j.clinimag.2009.01.011","volume":"33","author":"I Yamada","year":"2009","unstructured":"Yamada I, Takeshita K, Saito N, et al. Evaluation of gastric cancer by high-resolution three-dimensional CISS MR imaging in vitro. Clin Imaging. 2009;33:354\u201360.","journal-title":"Clin Imaging"},{"key":"672_CR29","doi-asserted-by":"crossref","unstructured":"Qiao X, Li Z, Li L, et al. Preoperative T2-weighted MR imaging texture analysis of gastric cancer: prediction of TNM stages. Abdom Radiol. 2020.","DOI":"10.1007\/s00261-020-02802-1"},{"key":"672_CR30","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1515\/raon-2017-0002","volume":"51","author":"H Arslan","year":"2017","unstructured":"Arslan H, Fatih \u00d6M, \u00c7all\u0131 \u0130, et al. Contribution of diffusion weighted MRI to diagnosis and staging in gastric tumors and comparison with multi-detector computed tomography. Radiol Oncol. 2017;51:23\u20139.","journal-title":"Radiol Oncol"}],"container-title":["BMC Medical Imaging"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12880-021-00672-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s12880-021-00672-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12880-021-00672-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,9,28]],"date-time":"2021-09-28T19:14:44Z","timestamp":1632856484000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcmedimaging.biomedcentral.com\/articles\/10.1186\/s12880-021-00672-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,28]]},"references-count":30,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2021,12]]}},"alternative-id":["672"],"URL":"https:\/\/doi.org\/10.1186\/s12880-021-00672-7","relation":{},"ISSN":["1471-2342"],"issn-type":[{"type":"electronic","value":"1471-2342"}],"subject":[],"published":{"date-parts":[[2021,9,28]]},"assertion":[{"value":"31 May 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 September 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 September 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"This study was approved by Biomedical Research Ethics Committee of the Navy Military Medical University of the Chinese People\u2019s Liberation Army. Written informed consent was waived from each patient due to this retrospective study.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare that they have no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"140"}}