影像组学在非小细胞肺癌诊疗中的应用进展

doi:10.11904/j.issn.1002-3070.2021.05.019

Abstract

Abstract: As an emerging new technology,radiomics can be used to detect nodules,distinguish benign and malignant lesions,and even predict the histological stage and genotype of lesions.When it is applied to the treatment of non-small cell lung cancer,it can improve the accuracy of efficacy assessment and predict the risk of recurrence.Radiomics is expected to increasingly influence the clinical treatment practice of non-small cell lung cancer,and optimize the follow-up chain of end-to-end diagnosis and treatment.This article reviews the latest research status of radiomics for non-small cell lung cancer.

Key words: Non-small cell lung cancer, Radiomics, Quantitative imaging, Radioactive biomarkers

CLC Number:

R734

WANG Ye, SHANG Naijian. Application progress of radiomics in the diagnosis and treatment of non-small cell lung cancer[J]. Journal of Practical Oncology, 2021, 35(5): 485-488.

0
/ / Recommend

Add to citation manager EndNote|Reference Manager|ProCite|BibTeX|RefWorks

URL: http://journal09.magtechjournal.com/Jwk3_syzlxzz/EN/10.11904/j.issn.1002-3070.2021.05.019

http://journal09.magtechjournal.com/Jwk3_syzlxzz/EN/Y2021/V35/I5/485

References

1 Siegel RL,Miller KD,Jemal A.Cancer statistics,2020[J].CA Cancer J Clin,2020,70(1):7-30.
2 Bade BC,Dela Cruz CS.Lung cancer 2020:epidemiology,etiology,and prevention[J].Clin Chest Med,2020,41(1):1-24.
3 Castiglioni I,Gallivanone F,Soda P,et al.AI-based applications in hybrid imaging:how to build smart and truly multi-parametric decision models for radiomics[J].Eur J Nucl Med Mol Imaging,2019,46(13):2673-2699.
4 李双双,侯震,刘娟,等.影像组学分析与建模工具综述[J].中国医学物理学杂志,2018,35(9):1043-1049.
5 Ma J,Qian W,Ren Y,et al.Automatic lung nodule classification with radiomics approach[C].SPIE Medical Imaging.Medical Imaging 2016:PACS and Imaging Informatics:Next Generation and Innovations,2016.
6 Traverso A,Wee L,Dekker A,et al.Repeatability and reproducibility of radiomic features:A Systematic Review[J].Int J Radiat Oncol Biol Phys,2018,102(4):1143-1158.
7 Hassani C,Varghese BA,Nieva J,et al.Radiomics in pulmonary lesion imaging[J].AJR Am J Roentgenol,2019,212(3):497-504.
8 Zhang T,Yuan M,Zhong Y,et al.Differentiation of focal organising pneumonia and peripheral adenocarcinoma in solid lung lesions using thin-section CT-based radiomics[J].Clin Radiol,2019,74(1):23-78.
9 Beig N,Khorrami M,Alilou M,et al.Perinodular and intranodular radiomic features on lung ct images distinguish adenocarcinomas from granulomas[J].Radiology,2019,290(3):783-792.
10 Balagurunathan Y,Schabath MB,Wang H,et al.Quantitative imaging features improve discrimination of malignancy in pulmonary nodules[J].Sci Rep,2019,9(1):8528.
11 Petkovska I,Shah SK,Mcnitt-Gray MF,et al.Pulmonary nodule characterization:a comparison of conventional with quantitative and visual semi-quantitative analyses using contrast enhancement maps[J].Eur J Radiol,2006,59(2):244-252.
12 Chen C,Chang C,Tu C,et al.Radiomic features analysis in computed tomography images of lung nodule classification[J].PLoS One,2018,13(2):e192002.
13 Zhang L,Chen B,Liu X,et al.Quantitative biomarkers for prediction of epidermal growth factor receptor mutation in non-small cell lung cancer[J].Transl Oncol,2018,11(1):94-101.
14 Liu Y,Kim J,Balagurunathan Y,et al.Radiomic features are associated with egfr mutation status in lung adenocarcinomas[J].Clin Lung Cancer,2016,17(5):441-448.
15 Tu W,Sun G,Fan L,et al.Radiomics signature:a potential and incremental predictor for EGFR mutation status in NSCLC patients,comparison with CT morphology[J].Lung Cancer,2019,132:28-35.
16 Li S,Ding C,Zhang H,et al.Radiomics for the prediction of EGFR mutation subtypes in non‐small cell lung cancer[J].Med Phys,2019,46(10):4545-4552.
17 Li H,Zhang R,Wang S,et al.CT-Based radiomic signature as a prognostic factor in stage IV ALK-positive non-small-cell lung cancer treated with TKI crizotinib:a proof-of-concept study[J].Front Oncol,2020,10:57.
18 Song L,Zhu Z,Mao L,et al.Clinical,conventional ct and radiomic feature-based machine learning models for predicting alk rearrangement status in lung adenocarcinoma patients[J].Front Oncol,2020,10:369.
19 Coroller TP,Agrawal V,Narayan V,et al.Radiomic phenotype features predict pathological response in non-small cell lung cancer[J].Radiother Oncol,2016,119(3):480-486.
20 孙明亮,徐建宇.早期非小细胞肺癌立体定向放疗的相关研究[J].实用肿瘤学杂志,2018,32(1):53-56.
21 Lafata KJ,Hong JC,Geng R,et al.Association of pre-treatment radiomic features with lung cancer recurrence following stereotactic body radiation therapy[J].Phys Med Biol,2019,64(2):25007.
22 Coroller TP,Agrawal V,Huynh E,et al.Radiomic-based pathological response prediction from primary tumors and lymph nodes in NSCLC[J].J Thorac Oncol,2017,12(3):467-476.
23 Jiang M,Sun D,Guo Y,et al.Assessing PD-L1 expression level by radiomic features from pet/ct in nonsmall cell lung cancer patients:an initial result[J].Acad Radiol,2020,27(2):171-179.
24 Ramella S,Fiore M,Greco C,et al.A radiomic approach for adaptive radiotherapy in non-small cell lung cancer patients[J].PLoS One,2018,13(11):e207455.
25 Bousabarah K,Temming S,Hoevels M,et al.Radiomic analysis of planning computed tomograms for predicting radiation-induced lung injury and outcome in lung cancer patients treated with robotic stereotactic body radiation therapy[J].Strahlenther Onkol,2019,195(9):830-842.
26 Huang L,Chen J,Hu W,et al.Assessment of a radiomic signature developed in a general NSCLC cohort for predicting overall survival of ALK-positive patients with different treatment types[J].Clin Lung Cancer,2019,20(6):638-651.
27 Mattonen SA,Palma DA,Haasbeek CJ,et al.Early prediction of tumor recurrence based on CT texture changes after stereotactic ablative radiotherapy(SABR)for lung cancer[J].Med Phys,2014,41(3):33502.
28 Mattonen SA,Palma DA,Johnson C,et al.Detection of local cancer recurrence after stereotactic ablative radiation therapy for lung cancer:physician performance versus radiomic assessment[J].Int J Radiat Oncol Biol Phys,2016,94(5):1121-1128.
29 Fried DV,Mawlawi O,Zhang L,et al.Stage III Non-Small cell lung cancer:prognostic value of FDG PET quantitative imaging features combined with clinical prognostic factors[J].Radiology,2016,278(1):214-222.
30 van Velden FH,Kramer GM,Frings V,et al.Repeatability of radiomic features in Non-Small-Cell lung cancer[18F]FDG-PET/CT Studies:impact of reconstruction and delineation[J].Mol Imaging Biol,2016,18(5):788-795.
31 Zhao B,Tan Y,Tsai W,et al.Reproducibility of radiomics for deciphering tumor phenotype with imaging[J].Sci Rep,2016,6:23428.

[1]	WANG Junmei, PAN Huiqing, LI Jingyi, JIA Di, ZHAO Weiming, LV Changlian. The expression and clinical significance of MT2-MMP at the stage II of lung adenocarcinoma [J]. Journal of Practical Oncology, 2021, 35(3): 243-247.
[2]	YIN Lei, YANG Xudong, YANG Yue, NIU Xingjian, ZHOU Xiaoping, JI Hongfei, WANG Yiran. The clinical significance and related mechanism of neutrophil to lymphocyte ratio in the prognostic evaluation of patients with non small cell lung cancer [J]. Journal of Practical Oncology, 2021, 35(2): 117-124.
[3]	DONG Cheng,DUAN Yong. Research progress on the mechanism and treatment of Dickkopf family protein in non-small cell lung cancer [J]. Journal of Practical Oncology, 2021, 35(1): 64-68.
[4]	YAN Yan, HOU Lifang, LI Renfei, YAN Peng, WANG Yuedong, ZHENG Yuting. Imaging with ^99mTc-HYNIC-MPG molecular typing of non-small cell lung cancer in vivo [J]. Journal of Practical Oncology, 2020, 34(5): 412-417.
[5]	SUN Yajuan, JIANG Zhiyun, SHANG Naijian, SUN Qingxin, LU Peiou. Value of dual-source CT energy imaging in evaluating mediastinal lymph node metastasis in non-small cell lung cancer [J]. Journal of Practical Oncology, 2019, 33(6): 531-535.
[6]	LI Wanzhen, YIN Jun, LI Ping, LIN Xiaohui, ZHANG Guoqian, ZHANG Shuxu. The expression and role of miR-17 in radioresistant cells of non-small cell lung cancer [J]. PRACTICAL ONCOLOGY JOURNAL, 2018, 32(5): 391-397.
[7]	CAI Jing, HOU Yue. The expression and clinical significance of serum miR-195 in patients with non-small cell lung cancer [J]. PRACTICAL ONCOLOGY JOURNAL, 2018, 32(5): 415-419.
[8]	CUI Xiaoyan,TU Qing,GAN Jianhui. Comparison between nalbuphine and oxycodone applied for patient controlled analgesia on postoperative immunological factor levels in patients with non-small cell lung cancer [J]. PRACTICAL ONCOLOGY JOURNAL, 2018, 32(4): 309-314.
[9]	LEI Junhua, XU Guanhua, ZENG Jiangzheng, HUANG Fen, HE Zhihui, LU Yanda. Research on JAK3/STAT3 mechanism of non-small cell lung cancer NCI-H1975 cells treated with cryptotanshinone combined with cisplatin [J]. PRACTICAL ONCOLOGY JOURNAL, 2018, 32(3): 198-202.
[10]	ZHAI Keke, GAO Yuanyuan, FENG Xiao, XU Jingwen, GONG Yufang, MENG Qingwei. Analysis of first-line NSCLC chemotherapy in the phase Ⅳ patients with distant metastasis and first diagnosis after postoperative adjuvant chemotherapy [J]. PRACTICAL ONCOLOGY JOURNAL, 2018, 32(2): 107-111.
[11]	DU Yesheng, HU Songliu, XU Xiangying. Study of oligodendrocyte metastasis in non-small cell lung cancer by stereotactic radiotherapy [J]. PRACTICAL ONCOLOGY JOURNAL, 2018, 32(2): 154-158.
[12]	SUN Mingliang, XU Jianyu, XU Xiangying. Stereotactic radiotherapy for early stage of non - small cell lung cancer [J]. PRACTICAL ONCOLOGY JOURNAL, 2018, 32(1): 53-56.
[13]	DAI Xin, ZHANG Daxin. Current status of anti-angiogenesis therapy for non-small cell lung cancer [J]. PRACTICAL ONCOLOGY JOURNAL, 2017, 31(5): 472-476.
[14]	HU Haifeng,FENG Xiemin,QIAO Jian,DUAN Wei,LIU Ningning,SUN Xiaodong. The expression and clinical significance of miR-345 in non-small cell lung cancer [J]. PRACTICAL ONCOLOGY JOURNAL, 2017, 31(2): 117-122.
[15]	ZHANG Rui,WANG Zhiyu,WANG Shuai,ZHAO Hui. Efficacy of recombinant human endostatin combined with vinorelbine-cisplatin regimen in newly diagnosed patients with advanced non-small cell lung cancer patients with bone metastases and the impact on expression of serum VEGF [J]. PRACTICAL ONCOLOGY JOURNAL, 2016, 30(6): 527-522.

Application progress of radiomics in the diagnosis and treatment of non-small cell lung cancer

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments