Lu L - Search Results

1

Exploring Variability in CT Characterization of Tumors: A Preliminary Phantom Study.

Zhao B, Tan Y, Tsai WY, Schwartz LH, Lu L. Zhao B, et al. Among authors: lu l. Transl Oncol. 2014 Feb 1;7(1):88-93. doi: 10.1593/tlo.13865. eCollection 2014 Feb. Transl Oncol. 2014. PMID: 24772211 Free PMC article.

2

Reliability of Radiomic Features Across Multiple Abdominal CT Image Acquisition Settings: A Pilot Study Using ACR CT Phantom.

Lu L, Liang Y, Schwartz LH, Zhao B. Lu L, et al. Tomography. 2019 Mar;5(1):226-231. doi: 10.18383/j.tom.2019.00005. Tomography. 2019. PMID: 30854461 Free PMC article.

3

Effect of CT image acquisition parameters on diagnostic performance of radiomics in predicting malignancy of pulmonary nodules of different sizes.

Xu Y, Lu L, Sun SH, E LN, Lian W, Yang H, Schwartz LH, Yang ZH, Zhao B. Xu Y, et al. Among authors: lu l. Eur Radiol. 2022 Mar;32(3):1517-1527. doi: 10.1007/s00330-021-08274-1. Epub 2021 Sep 21. Eur Radiol. 2022. PMID: 34549324 Free PMC article.

4

Hybrid detection of lung nodules on CT scan images.

Lu L, Tan Y, Schwartz LH, Zhao B. Lu L, et al. Med Phys. 2015 Sep;42(9):5042-54. doi: 10.1118/1.4927573. Med Phys. 2015. PMID: 26328955

5

Reproducibility of radiomics for deciphering tumor phenotype with imaging.

Zhao B, Tan Y, Tsai WY, Qi J, Xie C, Lu L, Schwartz LH. Zhao B, et al. Among authors: lu l. Sci Rep. 2016 Mar 24;6:23428. doi: 10.1038/srep23428. Sci Rep. 2016. PMID: 27009765 Free PMC article.

6

Assessing Agreement between Radiomic Features Computed for Multiple CT Imaging Settings.

Lu L, Ehmke RC, Schwartz LH, Zhao B. Lu L, et al. PLoS One. 2016 Dec 29;11(12):e0166550. doi: 10.1371/journal.pone.0166550. eCollection 2016. PLoS One. 2016. PMID: 28033372 Free PMC article.

7

Interobserver variability in tumor contouring affects the use of radiomics to predict mutational status.

Huang Q, Lu L, Dercle L, Lichtenstein P, Li Y, Yin Q, Zong M, Schwartz L, Zhao B. Huang Q, et al. Among authors: lu l. J Med Imaging (Bellingham). 2018 Jan;5(1):011005. doi: 10.1117/1.JMI.5.1.011005. Epub 2017 Oct 20. J Med Imaging (Bellingham). 2018. PMID: 29098170 Free PMC article.

8

Radiomics for Classification of Lung Cancer Histological Subtypes Based on Nonenhanced Computed Tomography.

E L, Lu L, Li L, Yang H, Schwartz LH, Zhao B. E L, et al. Among authors: lu l. Acad Radiol. 2019 Sep;26(9):1245-1252. doi: 10.1016/j.acra.2018.10.013. Epub 2018 Nov 28. Acad Radiol. 2019. PMID: 30502076

9

CT Slice Thickness and Convolution Kernel Affect Performance of a Radiomic Model for Predicting EGFR Status in Non-Small Cell Lung Cancer: A Preliminary Study.

Li Y, Lu L, Xiao M, Dercle L, Huang Y, Zhang Z, Schwartz LH, Li D, Zhao B. Li Y, et al. Among authors: lu l. Sci Rep. 2018 Dec 17;8(1):17913. doi: 10.1038/s41598-018-36421-0. Sci Rep. 2018. PMID: 30559455 Free PMC article.

10

Impact of Variability in Portal Venous Phase Acquisition Timing in Tumor Density Measurement and Treatment Response Assessment: Metastatic Colorectal Cancer as a Paradigm.

Dercle L, Lu L, Lichtenstein P, Yang H, Wang D, Zhu J, Wu F, Piessevaux H, Schwartz LH, Zhao B. Dercle L, et al. Among authors: lu l. JCO Clin Cancer Inform. 2017 Nov;1:1-8. doi: 10.1200/CCI.17.00108. JCO Clin Cancer Inform. 2017. PMID: 30657405 Free PMC article.

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