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Clinicopathological features and prognostic implications of ASCL1 expression in surgically resected small cell lung cancer.
Wei J, Liu L, Guo Y, Zhang J, Wang X, Dong J, Xing P, Ying J, Yang L, Li J. Wei J, et al. Thorac Cancer. 2021 Jan;12(1):40-47. doi: 10.1111/1759-7714.13705. Epub 2020 Nov 15. Thorac Cancer. 2021. PMID: 33191657 Free PMC article.
A total of 48 of 247 cases were tested by NanoString for mRNA expression analysis on 50 SCLC related genes. Statistical analysis was performed using R studio and SPSS software. RESULTS: NE scores of 48 pure SCLC specimens were calculated by analyzing 50 preselected genes. …
A total of 48 of 247 cases were tested by NanoString for mRNA expression analysis on 50 SCLC related genes. Statistical analysis was perform …
[The influence of CT acquisition and reconstruction parameters on the stability of radiomic features of pure ground-glass nodules].
Yang SX, Wu N, Zhang L, Li M. Yang SX, et al. Zhonghua Zhong Liu Za Zhi. 2022 Sep 23;44(9):981-986. doi: 10.3760/cma.j.cn112152-20201127-01024. Zhonghua Zhong Liu Za Zhi. 2022. PMID: 36164701 Chinese.
The radiomic features with good retest reliability were selected by the intraclass correlation coefficient. The statistical software of R language was used to analyze the characteristic parameters. All the radiomic feature values of different sequences were paired and comp …
The radiomic features with good retest reliability were selected by the intraclass correlation coefficient. The statistical software of R
Can CT-based radiomics signature predict KRAS/NRAS/BRAF mutations in colorectal cancer?
Yang L, Dong D, Fang M, Zhu Y, Zang Y, Liu Z, Zhang H, Ying J, Zhao X, Tian J. Yang L, et al. Eur Radiol. 2018 May;28(5):2058-2067. doi: 10.1007/s00330-017-5146-8. Epub 2018 Jan 15. Eur Radiol. 2018. PMID: 29335867

RELIEFF and support vector machine methods were performed to select key features and build a radiomics signature. RESULTS: The radiomics signature was significantly associated with KRAS/NRAS/BRAF mutations (P < 0.001). ...CT may be useful for analysis of tumour genotype

RELIEFF and support vector machine methods were performed to select key features and build a radiomics signature. RESULTS: The radiom …
Long-term follow-up of persistent pulmonary pure ground-glass nodules with deep learning-assisted nodule segmentation.
Qi LL, Wu BT, Tang W, Zhou LN, Huang Y, Zhao SJ, Liu L, Li M, Zhang L, Feng SC, Hou DH, Zhou Z, Li XL, Wang YZ, Wu N, Wang JW. Qi LL, et al. Eur Radiol. 2020 Feb;30(2):744-755. doi: 10.1007/s00330-019-06344-z. Epub 2019 Sep 4. Eur Radiol. 2020. PMID: 31485837
Deep learning can assist in accurately elucidating the natural history of pGGNs. pGGNs with lobulated sign and larger initial diameter, volume, and mass are more likely to grow. KEY POINTS: The pure ground-glass nodule (pGGN) segmentation accuracy of the Dr. ...
Deep learning can assist in accurately elucidating the natural history of pGGNs. pGGNs with lobulated sign and larger initial diameter, volu …
Natural history of pathologically confirmed pulmonary subsolid nodules with deep learning-assisted nodule segmentation.
Qi LL, Wang JW, Yang L, Huang Y, Zhao SJ, Tang W, Jin YJ, Zhang ZW, Zhou Z, Yu YZ, Wang YZ, Wu N. Qi LL, et al. Eur Radiol. 2021 Jun;31(6):3884-3897. doi: 10.1007/s00330-020-07450-z. Epub 2020 Nov 21. Eur Radiol. 2021. PMID: 33219848
The mean growth rate was larger for IACs than for non-IACs. SSNs with larger initial volume are more likely to grow. KEY POINTS: Invasive adenocarcinomas (IACs) appearing as subsolid nodules (SSNs), with a mean volume doubling time (VDT) of 1436.0 1188.2 days and median ma …
The mean growth rate was larger for IACs than for non-IACs. SSNs with larger initial volume are more likely to grow. KEY POINTS: Inva …
Prognostic value of computed tomography radiomics features in patients with gastric cancer following curative resection.
Li W, Zhang L, Tian C, Song H, Fang M, Hu C, Zang Y, Cao Y, Dai S, Wang F, Dong D, Wang R, Tian J. Li W, et al. Eur Radiol. 2019 Jun;29(6):3079-3089. doi: 10.1007/s00330-018-5861-9. Epub 2018 Dec 5. Eur Radiol. 2019. PMID: 30519931
Furthermore, the performance of a radiomics nomogram integrating the R-signature and significant clinicopathological risk factors was evaluated. ...The radiomics nomogram incorporating R-signature and significant clinicopathological risk factors (T stage, N stage, a …
Furthermore, the performance of a radiomics nomogram integrating the R-signature and significant clinicopathological risk factors was …
25 results