Autor: |
Yifei Su, Rui Cheng, Jinxia Guo, Miaoqi Zhang, Junhao Wang, Hongming Ji, Chunhong Wang, Liangliang Hao, Yexin He, Cheng Xu |
Jazyk: |
angličtina |
Rok vydání: |
2024 |
Předmět: |
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Zdroj: |
BMC Cancer, Vol 24, Iss 1, Pp 1-11 (2024) |
Druh dokumentu: |
article |
ISSN: |
1471-2407 |
DOI: |
10.1186/s12885-024-12571-5 |
Popis: |
Abstract Background Differentiation of glioma and solitary brain metastasis (SBM), which requires biopsy or multi-disciplinary diagnosis, remains sophisticated clinically. Histogram analysis of MR diffusion or molecular imaging hasn’t been fully investigated for the differentiation and may have the potential to improve it. Methods A total of 65 patients with newly diagnosed glioma or metastases were enrolled. All patients underwent DWI, IVIM, and APTW, as well as the T1W, T2W, T2FLAIR, and contrast-enhanced T1W imaging. The histogram features of apparent diffusion coefficient (ADC) from DWI, slow diffusion coefficient (Dslow), perfusion fraction (frac), fast diffusion coefficient (Dfast) from IVIM, and MTRasym@3.5ppm from APTWI were extracted from the tumor parenchyma and compared between glioma and SBM. Parameters with significant differences were analyzed with the logistics regression and receiver operator curves to explore the optimal model and compare the differentiation performance. Results Higher ADCkurtosis (P = 0.022), frackurtosis (P |
Databáze: |
Directory of Open Access Journals |
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