Luo HB - Search Results

1

Differentiation between Luminal A and B Molecular Subtypes of Breast Cancer Using Pharmacokinetic Quantitative Parameters with Histogram and Texture Features on Preoperative Dynamic Contrast-Enhanced Magnetic Resonance Imaging.

Luo HB, Du MY, Liu YY, Wang M, Qing HM, Wen ZP, Xu GH, Zhou P, Ren J. Luo HB, et al. Acad Radiol. 2020 Mar;27(3):e35-e44. doi: 10.1016/j.acra.2019.05.002. Acad Radiol. 2020. PMID: 31151899

2

Accuracy of Pulmonary Nodule Volumetry at Different Exposure Parameters in Low-Dose Computed Tomography: A Phantom Study.

Liu J, Qing H, Luo H, He C, Wang C, Ren J, Zhou P. Liu J, et al. J Comput Assist Tomogr. 2019 Nov/Dec;43(6):926-930. doi: 10.1097/RCT.0000000000000908. J Comput Assist Tomogr. 2019. PMID: 31453975

3

PET/CT and MRI for Identifying Axillary Lymph Node Metastases in Breast Cancer Patients: Systematic Review and Meta-Analysis.

Zhang X, Liu Y, Luo H, Zhang J. Zhang X, et al. J Magn Reson Imaging. 2020 Dec;52(6):1840-1851. doi: 10.1002/jmri.27246. Epub 2020 Jun 21. J Magn Reson Imaging. 2020. PMID: 32567090

4

Accuracy of Pulmonary Nodule Volumetry Using Noise-Optimized Virtual Monoenergetic Image and Nonlinear Blending Image Algorithms in Dual-Energy Computed Tomography: A Phantom Study.

He C, Liu J, Hu S, Qing H, Qiao L, Luo H, Chen X, Zhou P. He C, et al. J Comput Assist Tomogr. 2020 Nov/Dec;44(6):847-851. doi: 10.1097/RCT.0000000000001102. J Comput Assist Tomogr. 2020. PMID: 32976271

5

Radiomic features of axillary lymph nodes based on pharmacokinetic modeling DCE-MRI allow preoperative diagnosis of their metastatic status in breast cancer.

Luo HB, Liu YY, Wang CH, Qing HM, Wang M, Zhang X, Chen XY, Xu GH, Zhou P, Ren J. Luo HB, et al. PLoS One. 2021 Mar 1;16(3):e0247074. doi: 10.1371/journal.pone.0247074. eCollection 2021. PLoS One. 2021. PMID: 33647031 Free PMC article.

6

Diagnostic performance of T2-weighted imaging and intravoxel incoherent motion diffusion-weighted MRI for predicting metastatic axillary lymph nodes in T1 and T2 stage breast cancer.

Liu Y, Luo H, Wang C, Chen X, Wang M, Zhou P, Ren J. Liu Y, et al. Acta Radiol. 2022 Apr;63(4):447-457. doi: 10.1177/02841851211002834. Epub 2021 Mar 27. Acta Radiol. 2022. PMID: 33779304

7

Improvement of image quality of laryngeal squamous cell carcinoma using noise-optimized virtual monoenergetic image and nonlinear blending image algorithms in dual-energy computed tomography.

He C, Liu J, Hu S, Qing H, Luo H, Chen X, Liu Y, Zhou P. He C, et al. Head Neck. 2021 Oct;43(10):3125-3131. doi: 10.1002/hed.26812. Epub 2021 Jul 16. Head Neck. 2021. PMID: 34268830

8

Development and Internal Validation of a Preoperative Prediction Model for Sentinel Lymph Node Status in Breast Cancer: Combining Radiomics Signature and Clinical Factors.

Wang C, Chen X, Luo H, Liu Y, Meng R, Wang M, Liu S, Xu G, Ren J, Zhou P. Wang C, et al. Front Oncol. 2021 Nov 8;11:754843. doi: 10.3389/fonc.2021.754843. eCollection 2021. Front Oncol. 2021. PMID: 34820327 Free PMC article.

9

Prognostic value of non-contrast myocardial T1 mapping in cardiovascular diseases: a systematic review and meta-analysis.

Yang MX, Luo HB, Liu JK, Li XM, Wang CH, Shi K, Ren J, Zhou P. Yang MX, et al. Among authors: luo hb. Heart Fail Rev. 2022 Sep;27(5):1899-1909. doi: 10.1007/s10741-021-10191-w. Epub 2022 Jan 22. Heart Fail Rev. 2022. PMID: 35064397 Review.

10

Intratumoral and peritumoral radiomics based on dynamic contrast-enhanced MRI for preoperative prediction of intraductal component in invasive breast cancer.

Xu H, Liu J, Chen Z, Wang C, Liu Y, Wang M, Zhou P, Luo H, Ren J. Xu H, et al. Eur Radiol. 2022 Jul;32(7):4845-4856. doi: 10.1007/s00330-022-08539-3. Epub 2022 Jan 25. Eur Radiol. 2022. PMID: 35079887

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