Cargando…

Prognostic analysis and risk stratification of lung adenocarcinoma undergoing EGFR-TKI therapy with time-serial CT-based radiomics signature

OBJECTIVES: To evaluate the value of time-serial CT radiomics features in predicting progression-free survival (PFS) for lung adenocarcinoma (LUAD) patients after epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs) therapy. MATERIALS AND METHODS: LUAD patients treated with EGFR-T...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhang, Xiaobo, Lu, Bingfeng, Yang, Xinguan, Lan, Dong, Lin, Shushen, Zhou, Zhipeng, Li, Kai, Deng, Dong, Peng, Peng, Zeng, Zisan, Long, Liling
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer Berlin Heidelberg 2022
Materias:	Computed Tomography
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9889474/ https://www.ncbi.nlm.nih.gov/pubmed/36166088 http://dx.doi.org/10.1007/s00330-022-09123-5

Ejemplares similares

Prediction of acute coronary syndrome within 3 years using radiomics signature of pericoronary adipose tissue based on coronary computed tomography angiography
por: Shang, Jin, et al.
Publicado: (2021)

Risk stratification in GIST: shape quantification with CT is a predictive factor
por: Wei, Sheng-cai, et al.
Publicado: (2020)

Adaptive statistical iterative reconstruction (ASIR) affects CT radiomics quantification in primary colorectal cancer
por: Prezzi, Davide, et al.
Publicado: (2019)

Phantom-based radiomics feature test–retest stability analysis on photon-counting detector CT
por: Hertel, Alexander, et al.
Publicado: (2023)

A meta-analysis of the diagnostic test accuracy of CT-based radiomics for the prediction of COVID-19 severity
por: Kao, Yung-Shuo, et al.
Publicado: (2022)

Robustness of CT radiomics features: consistency within and between single-energy CT and dual-energy CT
por: Chen, Yong, et al.
Publicado: (2022)

Facilitating standardized COVID-19 suspicion prediction based on computed tomography radiomics in a multi-demographic setting
por: Nagaraj, Yeshaswini, et al.
Publicado: (2022)

Minimizing acquisition-related radiomics variability by image resampling and batch effect correction to allow for large-scale data analysis
por: Ligero, Marta, et al.
Publicado: (2020)

Deep learning reconstruction improves radiomics feature stability and discriminative power in abdominal CT imaging: a phantom study
por: Michallek, Florian, et al.
Publicado: (2022)

CT-based radiomics modeling for skull dysmorphology severity and surgical outcome prediction in children with isolated sagittal synostosis: a hypothesis-generating study
por: Calandrelli, Rosalinda, et al.
Publicado: (2022)

Robustness of pulmonary nodule radiomic features on computed tomography as a function of varying radiation dose levels—a multi-dose in vivo patient study
por: Bartholomeus, Gijs A., et al.
Publicado: (2023)

Development and validation of a preoperative CT-based radiomic nomogram to predict pathology invasiveness in patients with a solitary pulmonary nodule: a machine learning approach, multicenter, diagnostic study
por: Huang, Luyu, et al.
Publicado: (2021)

Objective and subjective comparison of virtual monoenergetic vs. polychromatic images in patients with pancreatic ductal adenocarcinoma
por: Beer, Lucian, et al.
Publicado: (2019)

Overexpression of RhoV Promotes the Progression and EGFR-TKI Resistance of Lung Adenocarcinoma
por: Chen, Hongjin, et al.
Publicado: (2021)

Chest CT for detecting COVID-19: a systematic review and meta-analysis of diagnostic accuracy
por: Xu, Buyun, et al.
Publicado: (2020)

The Impact of Sequence of Chemotherapy and EGFR-TKI Treatment on Different EGFR Mutation Lung Adenocarcinoma
por: Chung, Fu-Tsai, et al.
Publicado: (2015)

Prognostic implications of immunohistochemistry markers for EGFR-TKI therapy in Chinese patients with advanced lung adenocarcinoma harboring EGFR mutations
por: Zhang, Ruiguang, et al.
Publicado: (2016)

CT and clinical assessment in asymptomatic and pre-symptomatic patients with early SARS-CoV-2 in outbreak settings
por: Varble, Nicole, et al.
Publicado: (2020)

Radiomics Signature as a Predictive Factor for EGFR Mutations in Advanced Lung Adenocarcinoma
por: Hong, Duo, et al.
Publicado: (2020)

Osteosarcomatous Differentiation in Rebiopsy Specimens of Pulmonary Adenocarcinoma with EGFR-TKI Resistance
por: Ahn, Hyein, et al.
Publicado: (2018)

Enhanced YAP expression leads to EGFR TKI resistance in lung adenocarcinomas
por: Lee, Ting-Fang, et al.
Publicado: (2018)

EGFR-TKI Combined with Pemetrexed versus EGFR-TKI Monotherapy in Advanced EGFR-Mutated NSCLC: A Prospective, Randomized, Exploratory Study
por: Gu, Weiguang, et al.
Publicado: (2023)

Residual convolutional neural network for predicting response of transarterial chemoembolization in hepatocellular carcinoma from CT imaging
por: Peng, Jie, et al.
Publicado: (2019)

Valid and reliable diagnostic performance of dual-energy CT in anterior cruciate ligament rupture
por: Liu, Di, et al.
Publicado: (2023)

Prediction of presence of kidney disease in patients undergoing intravenous iodinated contrast enhanced computed tomography: a validation study
por: Schreuder, Sanne M., et al.
Publicado: (2016)

Response prediction of hepatocellular carcinoma undergoing transcatheter arterial chemoembolization: unlocking the potential of CT texture analysis through nested decision tree models
por: Vosshenrich, Jan, et al.
Publicado: (2020)

The correlation of p22(phox) and chemosensitivity in EGFR-TKI resistant lung adenocarcinoma
por: Kobayashi, Masayuki, et al.
Publicado: (2019)

Suppression of Mig-6 overcomes the acquired EGFR-TKI resistance of lung adenocarcinoma
por: Kang, Da Hyun, et al.
Publicado: (2020)

Factors that Predict Clinical Benefit of EGFR TKI Therapy in Patients with EGFR Wild-Type Lung Adenocarcinoma
por: Kim, Seo Yun, et al.
Publicado: (2019)

EGFR variant allele frequency predicts EGFR-TKI efficacy in lung adenocarcinoma: a multicenter study
por: Gieszer, Balazs, et al.
Publicado: (2021)

Unique microRNAs in lung adenocarcinoma groups according to major TKI sensitive EGFR mutation status
por: Pak, Min Gyoung, et al.
Publicado: (2015)

Risk Stratification Using a Novel Nomogram for 2190 EGFR-Mutant NSCLC Patients Receiving the First or Second Generation EGFR-TKI
por: Chang, John Wen-Cheng, et al.
Publicado: (2022)

Segmentation of Doppler optical coherence tomography signatures using a support-vector machine
por: Singh, Amardeep S. G., et al.
Publicado: (2011)

The role of T790M mutation in EGFR-TKI re-challenge for patients with EGFR-mutant advanced lung adenocarcinoma
por: Zhang, Qiuyi, et al.
Publicado: (2016)

Efficacy and safety of original EGFR-TKI combined with bevacizumab in advanced lung adenocarcinoma patients harboring EGFR-mutation experiencing gradual progression after EGFR-TKI treatment: a single-arm study
por: Long, Jianlin, et al.
Publicado: (2022)

The Significance of MMP-1 in EGFR-TKI–Resistant Lung Adenocarcinoma: Potential for Therapeutic Targeting
por: Saito, Ryoko, et al.
Publicado: (2018)

Incorporating radiomic feature of pretreatment (18)F-FDG PET improves survival stratification in patients with EGFR-mutated lung adenocarcinoma
por: Chen, Yu-Hung, et al.
Publicado: (2020)

Clinical outcomes of EGFR-TKI treatment and genetic heterogeneity in lung adenocarcinoma patients with EGFR mutations on exons 19 and 21
por: Yu, Jiang-Yong, et al.
Publicado: (2016)

An Observational Study of Acquired EGFR T790M-Dependent Resistance to EGFR-TKI Treatment in Lung Adenocarcinoma Patients in Taiwan
por: Wu, Shang-Gin, et al.
Publicado: (2020)

Histological Transformation after Acquired Resistance to the Third-Generation EGFR-TKI in Patients with Advanced EGFR-Mutant Lung Adenocarcinoma
por: Lee, Po-Hsin, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_vkk2if75bfcf97oacrdvmbhq63