{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T16:47:47Z","timestamp":1791996467126,"version":"4.4.0"},"reference-count":34,"publisher":"SAGE Publications","issue":"8","license":[{"start":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T00:00:00Z","timestamp":1781827200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"name":"Guangzhou Planned Project of Science and Technology","award":["2024A03J1025"],"award-info":[{"award-number":["2024A03J1025"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["82402377"],"award-info":[{"award-number":["82402377"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100021171","name":"Guangdong Basic and Applied Basic Research Foundation","doi-asserted-by":"crossref","award":["2022A1515011470, 2022A1515220135"],"award-info":[{"award-number":["2022A1515011470, 2022A1515220135"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Acta Radiol"],"published-print":{"date-parts":[[2026,8]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Tumor budding (TB) is a critical histopathological feature of rectal cancer that is strongly associated with metastasis, recurrence, and poor prognosis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>To evaluate the diagnostic performance of radiomics models based on magnetic resonance imaging (MRI) for preoperative prediction of TB grade in rectal cancer via systematic review and meta-analysis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Material and Methods<\/jats:title>\n                    <jats:p>A systematic search from PubMed, Cochrane Library, Web of Science, and Embase was conducted for original diagnostic studies up to 10 April 2026. Summary estimates of diagnostic accuracy were pooled using a random effects model. Threshold effect, subgroup, and meta-regression analyses were performed to explore the source of heterogeneity.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Seven studies with a total of 1846 patients were included. The pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio of MRI-based radiomics model were 0.82 (95% confidence interval [CI]=0.68\u20130.91), 0.80 (95% CI=0.65\u20130.89), 4.0 (95% CI=2.5\u20136.5), 0.22 (95% CI=0.13\u20130.39), and 18 (95% CI=10\u201332), respectively. The area under the summary receiver operating characteristic curve was 0.88 (95% CI=0.85\u20130.90). In subgroup analysis, multi-sequence MRI-based radiomics using T2-weighted (T2W) imaging, diffusion-weighted imaging (DWI) and contrast-enhanced T1-weighted (CE-T1W) imaging showed higher sensitivity compared with T2W imaging (87% vs. 67%;\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      \u2009&lt; 0.001), DWI (87% vs. 77%;\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      \u2009=\u20090.02), and CE-T1W imaging (87% vs. 61%;\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      \u2009&lt; 0.001).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>MRI-based radiomics models show promising performance for predicting TB grade in rectal cancer, with multi-sequence models outperforming single-sequence approaches. However, due to the limited number of included studies and heterogeneity, further large-scale prospective studies are warranted to confirm these results.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/02841851261459119","type":"journal-article","created":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T07:51:08Z","timestamp":1781855468000},"page":"669-680","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":2,"title":["Radiomics based on MRI for preoperative prediction of the tumor budding grade in rectal cancer: a systematic review and meta-analysis"],"prefix":"10.1177","volume":"67","author":[{"given":"Fan","family":"Xu","sequence":"first","affiliation":[{"name":"Medical College, Jinan University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhiguo","family":"Deng","sequence":"additional","affiliation":[{"name":"Medical College, Jinan University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yongjian","family":"Li","sequence":"additional","affiliation":[{"name":"Medical College, Jinan University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Miaoxia","family":"Chen","sequence":"additional","affiliation":[{"name":"Medical College, Jinan University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qing","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongzhen","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Radiology, Guangzhou First People's Hospital, Guangzhou, Guangdong, PR China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1077-8671","authenticated-orcid":false,"given":"Yingying","family":"Liang","sequence":"additional","affiliation":[{"name":"Department of Radiology, Guangzhou First People's Hospital, Guangzhou, Guangdong, PR China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2026,6,19]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.3322\/caac.21492"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.3389\/fonc.2019.00673"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.3322\/caac.21763"},{"key":"e_1_3_2_5_2","first-page":"140","article-title":"[TNM classification of malignant tumours - eighth edition: which news?]","volume":"41","author":"Patriarca S","year":"2017","unstructured":"Patriarca S, Ferretti S, Zanetti R. 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