{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T04:51:26Z","timestamp":1782449486403,"version":"3.54.5"},"reference-count":33,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T00:00:00Z","timestamp":1782432000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100005047","name":"Natural Science Foundation of Liaoning Province","doi-asserted-by":"publisher","award":["2025-BS-0701"],"award-info":[{"award-number":["2025-BS-0701"]}],"id":[{"id":"10.13039\/501100005047","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Oncol."],"abstract":"\n Background<\/jats:title>\n Fibroblastic\/myofibroblastic tumors are among the most common soft-tissue tumors (STTs) encountered clinically. Several magnetic resonance imaging (MRI) features associated with malignant tumors overlap with benign tumors, making differential diagnosis challenging. Intravoxel incoherent motion (IVIM) is a valuable MRI technique for differentiating various tumors. This study aims to evaluate the abilities of conventional MRI and IVIM in differentiating benign, intermediate, and malignant fibrous STTs.<\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n \n Fifty-five patients with fibrous STTs were prospectively enrolled, comprising 18 benign, 18 intermediate, and 19 malignant cases. All the patients underwent MRI examinations including IVIM. Conventional MRI signs and standard-apparent diffusion coefficient (ADC), true diffusion coefficient (D), pseudo-diffusion coefficient (D\n *<\/jats:sup>\n ), and perfusion fraction (f) were recorded. Statistical analyses were performed using Kruskal\u2013Wallis H test, Chi-square test,\n post hoc<\/jats:italic>\n test with Bonferroni correction, receiver operating characteristic (ROC) curves, and DeLong test. p &lt; 0.05 indicated statistical significance.\n <\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n \n Malignant tumors had higher heterogeneity on T2WI (\n p<\/jats:italic>\n \u00a0=\u00a00.020 and 0.009) and contrast enhancement T1WI (\n p<\/jats:italic>\n \u00a0=\u00a00.013 and 0.029), and were more prone to necrosis (\n p<\/jats:italic>\n \u00a0&lt;\u00a00.001 and\n p<\/jats:italic>\n \u00a0=\u00a00.001) compared with benign and intermediate tumors, respectively. Tail-like pattern (\n p<\/jats:italic>\n \u00a0=\u00a00.034 and 0.009) and invasiveness (\n p<\/jats:italic>\n \u00a0=\u00a00.018 and 0.033) were more frequently observed in intermediate and malignant tumors than in benign tumors, respectively. Standard-ADC\n mean<\/jats:sub>\n , standard-ADC\n min<\/jats:sub>\n , D\n mean<\/jats:sub>\n , and D\n min<\/jats:sub>\n values decreased from benign to intermediate and malignant fibrous STTs. Malignant STTs displayed higher f\n mean<\/jats:sub>\n and f\n min<\/jats:sub>\n values than benign tumors (\n p<\/jats:italic>\n \u00a0=\u00a00.002 and 0.013, respectively). Standard-ADC\n mean<\/jats:sub>\n showed the highest AUC (0.894) in differentiating intermediate from benign STTs. D\n mean<\/jats:sub>\n showed the highest AUC (0.961 and 0.905) in differentiating malignancies from benign and intermediate STTs, respectively. For discriminating between benign and non-benign fibrous STTs, the combination of conventional MRI signs and IVIM parameters yielded the highest AUC of 0.971.\n <\/jats:p>\n <\/jats:sec>\n \n Conclusion<\/jats:title>\n IVIM diffusion parameters differentiated benign, intermediate, and malignant fibrous STTs and can complement conventional MRI signs.<\/jats:p>\n <\/jats:sec>","DOI":"10.3389\/fonc.2026.1863609","type":"journal-article","created":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T04:39:14Z","timestamp":1782448754000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Intravoxel incoherent motion combined with conventional MRI for the differentiation of benign, intermediate, and malignant fibrous soft-tissue tumors"],"prefix":"10.3389","volume":"16","author":[{"given":"Yue","family":"Dai","sequence":"first","affiliation":[{"name":"Department of Radiology, The Second Hospital of Dalian Medical University","place":["Dalian, China"]},{"name":"Department of Radiology, Central Hospital of Dalian University of Technology","place":["Dalian, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuhan","family":"Long","sequence":"additional","affiliation":[{"name":"Department of Radiology, The Second Hospital of Dalian Medical University","place":["Dalian, China"]},{"name":"Department of Radiology, Central Hospital of Dalian University of Technology","place":["Dalian, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jie","family":"Zhou","sequence":"additional","affiliation":[{"name":"Department of Radiology, The Second Hospital of Dalian Medical University","place":["Dalian, China"]},{"name":"Department of Radiology, Central Hospital of Dalian University of Technology","place":["Dalian, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Juan","family":"Tao","sequence":"additional","affiliation":[{"name":"Department of Pathology, The Second Hospital of Dalian Medical University","place":["Dalian, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenjia","family":"Wang","sequence":"additional","affiliation":[{"name":"MR Research Center China, GE Healthcare China Co Ltd","place":["Beijing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yifeng","family":"Zhu","sequence":"additional","affiliation":[{"name":"Department of Radiology, The Second Hospital of Dalian Medical University","place":["Dalian, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kai","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Radiology, The Second Hospital of Dalian Medical University","place":["Dalian, 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