T1 mapping and multimodel diffusion-weighted imaging in the assessment of cervical cancer: a preliminary study

T1 mapping 和多模型扩散加权成像在宫颈癌评估中的应用:一项初步研究

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Abstract

OBJECTIVE: To evaluate the clinical feasibility of T1 mapping and multimodel diffusion-weighted imaging (DWI) for assessing the histological type, grade, and lymphovascular space invasion (LVSI) of cervical cancer. METHODS: Eighty patients with cervical cancer and 43 patients with a normal cervix underwent T1 mapping and DWI with 11 b-values (0-2000 s/mm(2)). Monoexponential, biexponential, and kurtosis models were fitted to calculate the apparent diffusion coefficient (ADC), pure molecular diffusion (D), pseudo-diffusion (D*), perfusion fraction (f), mean diffusivity (MD), and mean kurtosis (MK). Native T1 and DWI-derived parameters (ADC(mean), ADC(min), D(mean), D(min), D*, f, MD(mean), MD(min), MK(mean), and MK(max)) were compared based on histological type, grade, and LVSI status. RESULTS: Native T1 and DWI-derived parameters differed significantly between cervical cancer and normal cervix (all p < 0.05), except D* (p = 0.637). Native T1 and MK(mean) varied significantly between squamous cell carcinoma (SCC) and adenocarcinoma (both p < 0.05). ADC(min), D(min), and MD(min) were significantly lower while MK(max) was significantly higher in the high-grade SCC group than in the low-grade SCC group (all p < 0.05). LVSI-positive SCC had a significantly higher MK(mean) than LVSI-negative SCC (p < 0.05). CONCLUSION: Both T1 mapping and multimodel DWI can effectively differentiate cervical cancer from a normal cervix and cervical adenocarcinoma from SCC. Furthermore, multimodel DWI may provide quantitative metrics for non-invasively predicting histological grade and LVSI status in SCC patients. ADVANCES IN KNOWLEDGE: Combined use of T1 mapping and multimodel DWI may provide more comprehensive information for non-invasive pre-operative evaluation of cervical cancer.

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