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Tumor grading of soft tissue sarcomas: Assessment with whole-tumor histogram analysis of apparent diffusion coefficient
DC Field | Value | Language |
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dc.contributor.author | Kim, Bo Ram | - |
dc.contributor.author | Kang, Yusuhn | - |
dc.contributor.author | Lee, Jaehyung | - |
dc.contributor.author | Choi, Dongjun | - |
dc.contributor.author | Lee, Kyong Joon | - |
dc.contributor.author | Ahn, Joong Mo | - |
dc.contributor.author | Lee, Eugene | - |
dc.contributor.author | Lee, Joon Woo | - |
dc.contributor.author | Kang, Heung Sik | - |
dc.date.accessioned | 2022-08-25T01:14:34Z | - |
dc.date.available | 2022-08-25T01:14:34Z | - |
dc.date.created | 2022-06-15 | - |
dc.date.issued | 2022-06 | - |
dc.identifier.citation | European Journal of Radiology, Vol.151, p. 110319 | - |
dc.identifier.issn | 0720-048X | - |
dc.identifier.uri | https://hdl.handle.net/10371/184413 | - |
dc.description.abstract | Purpose: To evaluate the usefulness of whole-tumor ADC histogram analysis based on entire tumor volume in determining the histologic grade of STS (soft tissue sarcoma)s. Methods: From January 2015 to December 2020, 53 patients with STS who underwent preoperative magnetic resonance imaging, including diffusion weighted imaging and ADC maps (b = 0 and 1400 s/mm(2)), within 1 month before surgical resection were included in the study. Regions of interest were drawn on every section of the ADC map containing tumor and were summated to derive volume-based histogram data of the entire tumor. Histogram parameters were correlated with histologic tumor grade using Kruskal-Wallis test and compared between high-(grade II and III) and low-grade STSs (grade I) using Mann-Whitney U test. Multivariable logistic regression analysis was applied to identify significant histogram parameters for high-grade STS prediction, and receiver operating characteristic curves (AUC) were constructed to determine optimum threshold. Results: Eight patients with low-grade STS (15.1%) and 45 with high-grade STS (26.4% [14/53] for grade II; 58.5% [31/53] for grade III) were included. High-grade STS showed positive skewness and low-grade STS showed negative skewness (0.503 vs -0.726, p=.001). High-grade STS showed lower mean ADC (p =.03) and 5th to 50th percentile values (p <=. 03) than those of low-grade STS. Positive skewness was an independent predictor of high-grade STS (odds ratio: 6.704, p=.002) with 84.4% sensitivity and 87.5% specificity (cut-off values > -0.1757, AUC = 0.842). Conclusion: Skewness is the most promising histogram parameter for discriminating high-grade from low-grade STS. The mean ADC values and lower half of percentile values are helpful for differentiating high from low-grade STSs. | - |
dc.language | 영어 | - |
dc.publisher | Elsevier BV | - |
dc.title | Tumor grading of soft tissue sarcomas: Assessment with whole-tumor histogram analysis of apparent diffusion coefficient | - |
dc.type | Article | - |
dc.identifier.doi | 10.1016/j.ejrad.2022.110319 | - |
dc.citation.journaltitle | European Journal of Radiology | - |
dc.identifier.wosid | 000803741800007 | - |
dc.identifier.scopusid | 2-s2.0-85128478087 | - |
dc.citation.startpage | 110319 | - |
dc.citation.volume | 151 | - |
dc.description.isOpenAccess | N | - |
dc.contributor.affiliatedAuthor | Lee, Joon Woo | - |
dc.contributor.affiliatedAuthor | Kang, Heung Sik | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
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