Affiliation:
1. Department of Radiology, The Second Hospital, Dalian Medical University, Dalian, PR China
2. Department of Pathology, The Second Hospital, Dalian Medical University, Dalian, PR China
Abstract
Background Accurate prediction of the histological grade and Ki-67 expression of soft tissue sarcoma (STS) before surgery is essential for the subsequent diagnosis, treatment, and prognostic evaluation of patients. Purpose To evaluate intravoxel incoherent motion (IVIM) and diffusion kurtosis imaging (DKI) in predicting the histological grade and Ki-67 expression of STS. Material and Methods A total of 40 patients underwent 3-T MRI, including conventional sequences; IVIM and DKI parameters were obtained. All patients were divided into a low-grade (grade 1 and grade 2) group and a high-grade (grade 3) group through pathological analysis. Ki-67 expression of each lesion was calculated. Chi-square test, independent sample t-test, Mann–Whitney U test, Pearson, Spearman, and receiver operating characteristic curve analysis were performed. Results There were 17 patients in the low-grade group and 23 in the high-grade group. Ki-67 expression was in the range of 10%–80%. D value was inversely correlated with Ki-67 expression. MK value showed a moderate positive correlation with Ki-67 expression. Regarding histological grading, only the peritumoral enhancement was statistically different between low- and high-grade STS on conventional MRI ( P=0.024). The high-grade group had significantly higher MK value and lower D and MD value than the low-grade group. MK value showed the best diagnostic performance. The combination of MK and MD yielded the highest specificity (88.24%), and the combination of D, MK, and MD yielded the best area under the curve value (0.841) and sensitivity (95.65%). Conclusion IVIM and DKI parameters were correlated with Ki-67 expression and could help differentiate between low- and high-grade STS.
Funder
National Natural Science Foundation of China
Subject
Radiology, Nuclear Medicine and imaging,General Medicine,Radiological and Ultrasound Technology
Cited by
3 articles.
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