The value of multimodal functional magnetic resonance imaging in differentiating p53abn from p53wt endometrial carcinoma

Shifeng, Tian; Yue, Wang; Wen, Zhu; Lihua, Chen; Nan, Wang; Liangjie, Lin; Ailian, Liu

doi:10.1177/02841851231198911

Cited by 2 publications

(1 citation statement)

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“…For patients with mutant TP53 whose tumors exhibit elevated VEGF, antiangiogenic therapy with bevacizumab may hold particular promise [ 45 ]. However, the use of imaging biomarkers for predicting TP53 mutations is still in its infancy, and further development and validation are needed [ 46 , 47 ].…”

Section: Discussionmentioning

confidence: 99%

Predictive Value of Magnetic Resonance Imaging in Risk Stratification and Molecular Classification of Endometrial Cancer

Bae,

Rha,

Kim

et al. 2024

Cancers

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This study evaluated the magnetic resonance imaging (MRI) findings of endometrial cancer (EC) patients and identified differences based on risk group and molecular classification. The study involved a total of 175 EC patients. The MRI data were retrospectively reviewed and compared based on the risk of recurrence. Additionally, the associations between imaging phenotypes and genomic signatures were assessed. The low-risk and non-low-risk groups (intermediate, high-intermediate, high, metastatic) showed significant differences in tumor diameter (p < 0.001), signal intensity and heterogeneity on diffusion-weighted imaging (DWI) (p = 0.003), deep myometrial invasion (involvement of more than 50% of the myometrium), cervical invasion (p < 0.001), extrauterine extension (p = 0.002), and lymphadenopathy (p = 0.003). Greater diffusion restriction and more heterogeneity on DWI were exhibited in the non-low-risk group than in the low-risk group. Deep myometrial invasion, cervical invasion, extrauterine extension, lymphadenopathy, recurrence, and stage discrepancy were more common in the non-low-risk group (p < 0.001). A significant difference in microsatellite stability status was observed in the heterogeneity of the contrast-enhanced T1-weighted images (p = 0.027). However, no significant differences were found in MRI parameters related to TP53 mutation. MRI features can be valuable predictors for differentiating risk groups in patients with EC. However, further investigations are needed to explore the imaging markers based on molecular classification.

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Section: Discussionmentioning

confidence: 99%