Cargando…

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

PURPOSE: To construct an optimal radiomics model for preoperative prediction micropapillary pattern (MPP) in adenocarcinoma (ADC) of size ≤ 2 cm, nodule type was used for stratification to construct two radiomics models based on high-resolution computed tomography (HRCT) images. MATERIALS AND METHOD...

Descripción completa

Detalles Bibliográficos
Autores principales:	Li, Meirong, Ruan, Yachao, Feng, Zhan, Sun, Fangyu, Wang, Minhong, Zhang, Liang
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/PMC8674565/ https://www.ncbi.nlm.nih.gov/pubmed/34926304 http://dx.doi.org/10.3389/fonc.2021.788424

Ejemplares similares

Enhanced CT-Based Radiomics to Predict Micropapillary Pattern Within Lung Invasive Adenocarcinoma
por: Xu, Yunyu, et al.
Publicado: (2021)

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

Preoperative CT-based radiomics combined with intraoperative frozen section is predictive of invasive adenocarcinoma in pulmonary nodules: a multicenter study
por: Wu, Guangyao, et al.
Publicado: (2020)

CT Radiomics for the Preoperative Prediction of Ki67 Index in Gastrointestinal Stromal Tumors: A Multi-Center Study
por: Zhao, Yilei, 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)

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

Radiomics-based analysis of CT imaging for the preoperative prediction of invasiveness in pure ground-glass nodule lung adenocarcinomas
por: Feng, Hui, et al.
Publicado: (2023)

Preoperative diagnosis of malignant pulmonary nodules in lung cancer screening with a radiomics nomogram
por: Liu, Ailing, et al.
Publicado: (2020)

Predictors of Invasive Adenocarcinomas among Pure Ground-Glass Nodules Less Than 2 cm in Diameter
por: Hsu, Wen-Chi, et al.
Publicado: (2021)

CT-Based Radiomic Analysis for Preoperative Prediction of Tumor Invasiveness in Lung Adenocarcinoma Presenting as Pure Ground-Glass Nodule
por: Kao, Tzu-Ning, et al.
Publicado: (2022)

Computed-Tomography-Based Radiomics Model for Predicting the Malignant Potential of Gastrointestinal Stromal Tumors Preoperatively: A Multi-Classifier and Multicenter Study
por: Wang, Minhong, et al.
Publicado: (2021)

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

A comparative study to evaluate CT-based semantic and radiomic features in preoperative diagnosis of invasive pulmonary adenocarcinomas manifesting as subsolid nodules
por: Wu, Yun-Ju, et al.
Publicado: (2021)

Computed Tomography-Based Radiomics Model to Preoperatively Predict Microsatellite Instability Status in Colorectal Cancer: A Multicenter Study
por: Li, Zhi, et al.
Publicado: (2021)

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)

Preoperative risk factors of lymph node metastasis in clinical N0 lung adenocarcinoma of 3 cm or less in diameter
por: Fang, Cheng, et al.
Publicado: (2022)

Establishment and validation of a radiological-radiomics model for predicting high-grade patterns of lung adenocarcinoma less than or equal to 3 cm
por: Dong, Hao, et al.
Publicado: (2022)

Computed Tomography-Based Radiomics Model for Predicting the WHO/ISUP Grade of Clear Cell Renal Cell Carcinoma Preoperatively: A Multicenter Study
por: Wang, Ruihui, et al.
Publicado: (2021)

Radiomics nomogram for preoperative differentiation of pulmonary mucinous adenocarcinoma from tuberculoma in solitary pulmonary solid nodules
por: Zhang, Junjie, et al.
Publicado: (2023)

CT radiomics nomogram for the preoperative prediction of severe post-hepatectomy liver failure in patients with huge (≥ 10 cm) hepatocellular carcinoma
por: Xiang, Fei, 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 nomogram: A noninvasive tool for preoperative evaluation of the invasiveness of pulmonary adenocarcinomas manifesting as ground-glass nodules
por: Meng, Fanyang, et al.
Publicado: (2020)

A delta-radiomics model for preoperative prediction of invasive lung adenocarcinomas manifesting as radiological part-solid nodules
por: Chen, Wufei, et al.
Publicado: (2022)

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)

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)

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

Development of a PET/CT molecular radiomics-clinical model to predict thoracic lymph node metastasis of invasive lung adenocarcinoma ≤ 3 cm in diameter
por: Chang, Cheng, et al.
Publicado: (2022)

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

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)

Procedure-specific prognostic impact of micropapillary subtype may guide resection strategy in small-sized lung adenocarcinomas: a multicenter study
por: Su, Hang, et al.
Publicado: (2020)

Multiphase CT radiomics nomogram for preoperatively predicting the WHO/ISUP nuclear grade of small (< 4 cm) clear cell renal cell carcinoma
por: Gao, Yankun, et al.
Publicado: (2023)

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)

A study on the differential of solid lung adenocarcinoma and tuberculous granuloma nodules in CT images by Radiomics machine learning
por: Tan, Huibin, et al.
Publicado: (2023)

Submucosal micropapillary adenocarcinoma of the sigmoid colon: A distinct and aggressive subtype of adenocarcinoma
por: Limaiem, Faten, et al.
Publicado: (2023)

Micropapillary Mucinous Adenocarcinoma of the Lung: A Brief Case Report
por: Choi, In Ho, et al.
Publicado: (2013)

Pulmonary miliary papillary/micropapillary adenocarcinoma manifesting as carcinomatous encephalitis
por: Vaideeswar, P, et al.
Publicado: (2017)

Lung adenocarcinoma with micropapillary and solid patterns: Recurrence rate and trends
por: Takeno, Naoki, et al.
Publicado: (2023)

Preoperative (18)F-FDG PET/CT and CT radiomics for identifying aggressive histopathological subtypes in early stage lung adenocarcinoma
por: Choi, Wookjin, 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)

Cannot write session to /tmp/vufind_sessions/sess_jlbha6jchd81phjtvf648as3pg