Cargando…

Enhanced CT-Based Radiomics to Predict Micropapillary Pattern Within Lung Invasive Adenocarcinoma

OBJECTIVE: We aimed to investigate whether enhanced CT-based radiomics can predict micropapillary pattern (MPP) of lung invasive adenocarcinoma (IAC) in the pre-op phase and to develop an individual diagnostic predictive model for MPP in IAC. METHODS: 170 patients who underwent complete resection fo...

Descripción completa

Detalles Bibliográficos
Autores principales:	Xu, Yunyu, Ji, Wenbin, Hou, Liqiao, Lin, Shuangxiang, Shi, Yangyang, Zhou, Chao, Meng, Yinnan, Wang, Wei, Chen, Xiaofeng, Wang, Meihao, Yang, Haihua
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2021
Materias:	Oncology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8429899/ https://www.ncbi.nlm.nih.gov/pubmed/34513686 http://dx.doi.org/10.3389/fonc.2021.704994

Ejemplares similares

CT-Based Deep Learning Model for Invasiveness Classification and Micropapillary Pattern Prediction Within Lung Adenocarcinoma
por: Ding, Hanlin, et al.
Publicado: (2020)

Preoperative CT-Based Radiomics Combined With Nodule Type to Predict the Micropapillary Pattern in Lung Adenocarcinoma of Size 2 cm or Less: A Multicenter Study
por: Li, Meirong, et al.
Publicado: (2021)

Genomic and clinicopathological features of lung adenocarcinomas with micropapillary component
por: Li, Peng, et al.
Publicado: (2022)

A machine learning-based prediction of the micropapillary/solid growth pattern in invasive lung adenocarcinoma with radiomics
por: He, Bingxi, et al.
Publicado: (2021)

Predicting micropapillary or solid pattern of lung adenocarcinoma with CT-based radiomics, conventional radiographic and clinical features
por: Wang, Zhe, et al.
Publicado: (2023)

Intermediate Dose-Volume Parameters, Not Low-Dose Bath, Is Superior to Predict Radiation Pneumonitis for Lung Cancer Treated With Intensity-Modulated Radiotherapy
por: Meng, Yinnan, et al.
Publicado: (2020)

Diagnosis of Serosal Invasion in Gastric Adenocarcinoma by Dual-Energy CT Radiomics: Focusing on Localized Gastric Wall and Peritumoral Radiomics Features
por: Yang, Li, et al.
Publicado: (2022)

Authentication of a survival nomogram for non-invasive micropapillary breast cancer
por: Zhang, Mingkun, et al.
Publicado: (2023)

Integrated Analysis of Genomic and Immunological Features in Lung Adenocarcinoma With Micropapillary Component
por: Zhang, Shirong, et al.
Publicado: (2021)

Comprehensive analyses unveil novel genomic and immunological characteristics of micropapillary pattern in lung adenocarcinoma
por: Huo, Yansong, et al.
Publicado: (2022)

Comparison of Comprehensive Morphological and Radiomics Features of Subsolid Pulmonary Nodules to Distinguish Minimally Invasive Adenocarcinomas and Invasive Adenocarcinomas in CT Scan
por: Qiu, Lu, et al.
Publicado: (2022)

Radiomic-Based Quantitative CT Analysis of Pure Ground-Glass Nodules to Predict the Invasiveness of Lung Adenocarcinoma
por: Xu, Fangyi, et al.
Publicado: (2020)

The Prognostic Value of Non-Predominant Micropapillary Pattern in a Large Cohort of Resected Invasive Lung Adenocarcinoma Measuring ≤3 cm
por: Zhang, Hua, et al.
Publicado: (2021)

The prognostic influence of histological subtypes of micropapillary tumors on patients with lung adenocarcinoma ≤ 2 cm
por: Xu, Liangdong, et al.
Publicado: (2022)

Corrigendum: Radiomic-Based Quantitative CT Analysis of Pure Ground-Glass Nodules to Predict the Invasiveness of Lung Adenocarcinoma
por: Xu, Fangyi, et al.
Publicado: (2020)

Dual-energy CT-based radiomics for predicting invasiveness of lung adenocarcinoma appearing as ground-glass nodules
por: Zheng, Yuting, et al.
Publicado: (2023)

Multi-modality radiomics nomogram based on DCE-MRI and ultrasound images for benign and malignant breast lesion classification
por: Liu, Xinmiao, et al.
Publicado: (2022)

Precise prediction of the sensitivity of platinum chemotherapy in SCLC: Establishing and verifying the feasibility of a CT-based radiomics nomogram
por: Su, Yanping, et al.
Publicado: (2023)

CT-Based Radiomics Analysis for Noninvasive Prediction of Perineural Invasion of Perihilar Cholangiocarcinoma
por: Zhan, Peng-Chao, et al.
Publicado: (2022)

Development and validation of nomograms to predict survival in patients with invasive micropapillary carcinoma of the breast
por: Cheng, Yixin, et al.
Publicado: (2023)

Minor Components of Micropapillary and Solid Subtypes in Lung Adenocarcinoma are Predictors of Lymph Node Metastasis and Poor Prognosis
por: Zhao, Yue, et al.
Publicado: (2016)

CT Radiomics and Machine-Learning Models for Predicting Tumor-Stroma Ratio in Patients With Pancreatic Ductal Adenocarcinoma
por: Meng, Yinghao, et al.
Publicado: (2021)

Development and Validation a Nomogram Incorporating CT Radiomics Signatures and Radiological Features for Differentiating Invasive Adenocarcinoma From Adenocarcinoma In Situ and Minimally Invasive Adenocarcinoma Presenting as Ground-Glass Nodules Measuring 5-10mm in Diameter
por: Shi, Lili, et al.
Publicado: (2021)

Comparison and Fusion of Deep Learning and Radiomics Features of Ground-Glass Nodules to Predict the Invasiveness Risk of Stage-I Lung Adenocarcinomas in CT Scan
por: Xia, Xianwu, et al.
Publicado: (2020)

CT-Imaging Based Analysis of Invasive Lung Adenocarcinoma Presenting as Ground Glass Nodules Using Peri- and Intra-nodular Radiomic Features
por: Wu, Linyu, et al.
Publicado: (2020)

Clinical and CT Radiomics Nomogram for Preoperative Differentiation of Pulmonary Adenocarcinoma From Tuberculoma in Solitary Solid Nodule
por: Zhuo, Yaoyao, et al.
Publicado: (2021)

The Value of CT-Based Radiomics for Predicting Spread Through Air Spaces in Stage IA Lung Adenocarcinoma
por: Han, Xiaoyu, et al.
Publicado: (2022)

Nomogram predicting overall prognosis for invasive micropapillary carcinoma of the breast: a SEER-based population study
por: Liu, Jianpeng, et al.
Publicado: (2023)

Clinical-radiomics nomogram using contrast-enhanced CT to predict histological grade and survival in pancreatic ductal adenocarcinoma
por: Cen, Chunyuan, et al.
Publicado: (2023)

Genomics Analysis and Nomogram Risk Prediction of Occult Lymph Node Metastasis in Non-Predominant Micropapillary Component of Lung Adenocarcinoma Measuring ≤ 3 cm
por: Wang, Kun, et al.
Publicado: (2022)

Contrast-Enhanced CT-Based Radiomics Analysis in Predicting Lymphovascular Invasion in Esophageal Squamous Cell Carcinoma
por: Li, Yang, et al.
Publicado: (2021)

Comparison and fusion prediction model for lung adenocarcinoma with micropapillary and solid pattern using clinicoradiographic, radiomics and deep learning features
por: Wang, Fen, et al.
Publicado: (2023)

Radiomics Analysis of Contrast-Enhanced CT Predicts Survival in Clear Cell Renal Cell Carcinoma
por: Yan, Lei, et al.
Publicado: (2021)

FLVCR1 Predicts Poor Prognosis and Promotes Malignant Phenotype in Esophageal Squamous Cell Carcinoma via Upregulating CSE1L
por: Zhou, Suna, et al.
Publicado: (2021)

Sonographic Features of Pure Mucinous Breast Carcinoma With Micropapillary Pattern
por: Zhou, Wu, et al.
Publicado: (2021)

Diagnosis of architectural distortion on digital breast tomosynthesis using radiomics and deep learning
por: Chen, Xiao, et al.
Publicado: (2022)

A Machine Learning Model Based on PET/CT Radiomics and Clinical Characteristics Predicts ALK Rearrangement Status in Lung Adenocarcinoma
por: Chang, Cheng, et al.
Publicado: (2021)

Corrigendum: Contrast-Enhanced CT-Based Radiomics Analysis in Predicting Lymphovascular Invasion in Esophageal Squamous Cell Carcinoma
por: Li, Yang, et al.
Publicado: (2021)

The Value of Predicting Human Epidermal Growth Factor Receptor 2 Status in Adenocarcinoma of the Esophagogastric Junction on CT-Based Radiomics Nomogram
por: Wang, Shuxing, et al.
Publicado: (2021)

CT-Based Radiomics Signatures for Predicting the Risk Categorization of Thymic Epithelial Tumors
por: Liu, Jin, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_fh8j1hpsb2mcjh4krh8301dcbp