Jing M - Search Results

1

ADC histogram analysis of tumor-infiltrating CD8+ T cell levels in meningioma.

Han T, Long C, Liu X, Zhou F, Zhang P, Zhang B, Dong W, Jing M, Deng L, Zhang Y, Zhou J. Han T, et al. Among authors: jing m. Neurosurg Rev. 2025 Jan 10;48(1):34. doi: 10.1007/s10143-025-03197-7. Neurosurg Rev. 2025. PMID: 39789323

2

Differentiating atypical meningioma from anaplastic meningioma using diffusion weighted imaging.

Han T, Zhang J, Liu X, Zhang B, Deng L, Lin X, Jing M, Zhou J. Han T, et al. Among authors: jing m. Clin Imaging. 2022 Feb;82:237-243. doi: 10.1016/j.clinimag.2021.12.004. Epub 2021 Dec 11. Clin Imaging. 2022. PMID: 34915318

3

Whole-tumor histogram analysis of multi-parametric MRI for differentiating brain metastases histological subtypes in lung cancers: relationship with the Ki-67 proliferation index.

Zhang B, Zhou F, Zhou Q, Xue C, Ke X, Zhang P, Han T, Deng L, Jing M, Zhou J. Zhang B, et al. Among authors: jing m. Neurosurg Rev. 2023 Sep 2;46(1):218. doi: 10.1007/s10143-023-02129-7. Neurosurg Rev. 2023. PMID: 37659040

4

Differential diagnosis of atypical and anaplastic meningiomas based on conventional MRI features and ADC histogram parameters using a logistic regression model nomogram.

Han T, Long C, Liu X, Jing M, Zhang Y, Deng L, Zhang B, Zhou J. Han T, et al. Among authors: jing m. Neurosurg Rev. 2023 Sep 18;46(1):245. doi: 10.1007/s10143-023-02155-5. Neurosurg Rev. 2023. PMID: 37718326

5

Prediction of meningioma grade by constructing a clinical radiomics model nomogram based on magnetic resonance imaging.

Han T, Liu X, Long C, Xu Z, Geng Y, Zhang B, Deng L, Jing M, Zhou J. Han T, et al. Among authors: jing m. Magn Reson Imaging. 2023 Dec;104:16-22. doi: 10.1016/j.mri.2023.09.002. Epub 2023 Sep 20. Magn Reson Imaging. 2023. PMID: 37734573

6

Preoperative Prediction of Meningioma Subtype by Constructing a Clinical-Radiomics Model Nomogram Based on Magnetic Resonance Imaging.

Han T, Liu X, Xu Z, Geng Y, Zhang B, Deng L, Jing M, Zhou J. Han T, et al. Among authors: jing m. World Neurosurg. 2024 Jan;181:e203-e213. doi: 10.1016/j.wneu.2023.09.119. Epub 2023 Oct 7. World Neurosurg. 2024. PMID: 37813337

7

ADC histogram parameters differentiating atypical from transitional meningiomas: correlation with Ki-67 proliferation index.

Han T, Liu X, Jing M, Zhang Y, Zhang B, Deng L, Zhou J. Han T, et al. Among authors: jing m. Acta Radiol. 2023 Dec;64(12):3032-3041. doi: 10.1177/02841851231205151. Epub 2023 Oct 11. Acta Radiol. 2023. PMID: 37822165

8

The value of an apparent diffusion coefficient histogram model in predicting meningioma recurrence.

Han T, Liu X, Jing M, Zhang Y, Deng L, Zhang B, Zhou J. Han T, et al. Among authors: jing m. J Cancer Res Clin Oncol. 2023 Dec;149(19):17427-17436. doi: 10.1007/s00432-023-05463-x. Epub 2023 Oct 25. J Cancer Res Clin Oncol. 2023. PMID: 37878091

9

Apparent diffusion coefficient histogram analysis for differentiating fibroblastic meningiomas from non-fibroblastic WHO grade 1 meningiomas.

Han T, Long C, Liu X, Zhang Y, Zhang B, Deng L, Jing M, Zhou J. Han T, et al. Among authors: jing m. Clin Imaging. 2023 Dec;104:110019. doi: 10.1016/j.clinimag.2023.110019. Epub 2023 Nov 11. Clin Imaging. 2023. PMID: 37976629

10

Whole-lesion iodine map histogram analysis versus single-slice spectral CT parameters for determining novel International Association for the Study of Lung Cancer grade of invasive non-mucinous pulmonary adenocarcinomas.

Deng L, Yang J, Zhang M, Zhu K, Jing M, Zhang Y, Zhang B, Han T, Zhou J. Deng L, et al. Among authors: jing m. Diagn Interv Imaging. 2024 May;105(5):165-173. doi: 10.1016/j.diii.2023.12.001. Epub 2023 Dec 10. Diagn Interv Imaging. 2024. PMID: 38072730

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