Cargando…

Establishment and validation a prediction model for discrimination of invasive adenocarcinomas for patients with peripheral pulmonary subsolid nodules

BACKGROUND: The optimal management of patients with subsolid pulmonary nodules is of growing clinical concern. This study sought to develop and validate a more precise predictive model to evaluate the pathological invasiveness of patients with lung peripheral subsolid nodules (SSNs). METHODS: The da...

Descripción completa

Detalles Bibliográficos
Autores principales:	Pan, Wen-Biao, Xiang, Yang-Wei, Qian, Xiao-Zhe, Zhao, Xiao-Jing
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	AME Publishing Company 2022
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9843417/ https://www.ncbi.nlm.nih.gov/pubmed/36660672 http://dx.doi.org/10.21037/atm-22-5685

Ejemplares similares

Subsolid pulmonary nodules: Controversy and perspective
por: Hammer, Mark M., 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)

Differentiation of persistent pulmonary subsolid nodules with a solid component smaller than 6 mm: to be invasive adenocarcinoma or not to be?
por: Lee, Jong Hyuk, et al.
Publicado: (2020)

An integrated nomogram combined semantic-radiomic features to predict invasive pulmonary adenocarcinomas in subjects with persistent subsolid nodules
por: Wu, Fu-Zong, et al.
Publicado: (2022)

Prediction of subsolid pulmonary nodule growth rate using radiomics
por: Ma, Zong Jing, et al.
Publicado: (2023)

Predicting Malignancy and Invasiveness of Pulmonary Subsolid Nodules on CT Images Using Deep Learning
por: Shen, Tianle, et al.
Publicado: (2021)

Incidental, subsolid pulmonary nodules at CT: etiology and management
por: Seidelman, Jessica L., et al.
Publicado: (2013)

Implementation of artificial intelligence in the histological assessment of pulmonary subsolid nodules
por: Deng, Jiajun, et al.
Publicado: (2021)

Thin-slice computed tomography enables to classify pulmonary subsolid nodules into pre-invasive lesion/minimally invasive adenocarcinoma and invasive adenocarcinoma: a retrospective study
por: Li, Min, et al.
Publicado: (2023)

A narrative review of the clinical approach to subsolid pulmonary nodules
por: Kim, Bo-Guen, et al.
Publicado: (2023)

The fate of subsolid nodule: predictable or unpredictable?
por: Wu, Yun-Ju, et al.
Publicado: (2020)

The natural growth history of persistent pulmonary subsolid nodules: Radiology, genetics, and clinical management
por: Zhang, Zhedong, et al.
Publicado: (2022)

Visual discrimination of screen-detected persistent from transient subsolid nodules: An observer study
por: Chung, Kaman, et al.
Publicado: (2018)

Decoding the multicellular ecosystem of lung adenocarcinoma manifested as pulmonary subsolid nodules by single-cell RNA sequencing
por: Xing, Xudong, et al.
Publicado: (2021)

Distinct tumor bacterial microbiome in lung adenocarcinomas manifested as radiological subsolid nodules
por: Ma, Yi, et al.
Publicado: (2021)

Semi-Automatic Quantification of Subsolid Pulmonary Nodules: Comparison with Manual Measurements
por: Scholten, Ernst Th., et al.
Publicado: (2013)

Automatic segmentation of the solid core and enclosed vessels in subsolid pulmonary nodules
por: Charbonnier, Jean-Paul, et al.
Publicado: (2018)

Letter to the Editor: Indeterminate pulmonary subsolid nodules in patients with no history of cancer
por: Ufuk, Furkan
Publicado: (2023)

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)

Shades of Gray: Subsolid Nodule Considerations and Management
por: Azour, Lea, et al.
Publicado: (2020)

CT features and quantitative analysis of subsolid nodule lung adenocarcinoma for pathological classification prediction
por: Li, Xiaohu, et al.
Publicado: (2020)

A CT-based nomogram for predicting the risk of adenocarcinomas in patients with subsolid nodule according to the 2021 WHO classification
por: Song, Qilong, et al.
Publicado: (2022)

Histogram-based models on non-thin section chest CT predict invasiveness of primary lung adenocarcinoma subsolid nodules
por: Oikonomou, Anastasia, et al.
Publicado: (2019)

Managing screening-detected subsolid nodules—the Asian perspective
por: Sato, Masaaki, et al.
Publicado: (2021)

Subsolid pulmonary nodule morphology and associated patient characteristics in a routine clinical population
por: Mets, Onno M., et al.
Publicado: (2016)

Predicting Lung Cancer Risk of Incidental Solid and Subsolid Pulmonary Nodules in Different Sizes
por: Zhang, Rui, et al.
Publicado: (2020)

Long‐term follow‐up of persistent pulmonary subsolid nodules: Natural course of pure, heterogeneous, and real part‐solid ground‐glass nodules
por: Zhang, Zhedong, et al.
Publicado: (2023)

Primary Pulmonary Malignant Melanoma Presenting as Bilateral Multiple Subsolid Nodules: A Case Report
Publicado: (2022)

Quantitative evaluation of density variability in the lesion–lung boundary zone to differentiate pulmonary subsolid nodules
por: Lin, Rui-Yu, et al.
Publicado: (2023)

Assessing invasiveness of subsolid lung adenocarcinomas with combined attenuation and geometric feature models
por: de Margerie-Mellon, Constance, et al.
Publicado: (2020)

Stage I lung adenocarcinoma: the value of quantitative CT in differentiating pathological subtypes and predicting growth of subsolid nodules
por: Xu, Xianqun, et al.
Publicado: (2017)

Diameter of the Solid Component in Subsolid Nodules on Low-Dose Unenhanced Chest Computed Tomography: Measurement Accuracy for the Prediction of Invasive Component in Lung Adenocarcinoma
por: Ahn, Hyungwoo, et al.
Publicado: (2018)

Clinical Significance of Pleural Attachment and Indentation of Subsolid Nodule Lung Cancer
por: Kim, Hyung-Jun, et al.
Publicado: (2019)

Fleischner recommendations for the management of subsolid pulmonary nodules: high awareness but limited conformance – a survey study
por: Mets, Onno M., et al.
Publicado: (2016)

Developing of risk models for small solid and subsolid pulmonary nodules based on clinical and quantitative radiomics features
por: Zhang, Rui, et al.
Publicado: (2021)

Pulmonary nodular lymphoid hyperplasia presenting as multifocal subsolid nodules: A case report and literature review
por: Cha, Yoon Jin, et al.
Publicado: (2022)

Clinical and CT Features of Subsolid Pulmonary Nodules With Interval Growth: A Systematic Review and Meta-Analysis
por: Liang, Xin, et al.
Publicado: (2022)

Differential Diagnosis of Nonabsorbable Inflammatory and Malignant Subsolid Nodules with a Solid Component ≤5 mm
por: He, Xiao-Qun, et al.
Publicado: (2022)

Computed tomography-based radiomics machine learning models for prediction of histological invasiveness with sub-centimeter subsolid pulmonary nodules: a retrospective study
por: Zhang, Haochuan, et al.
Publicado: (2023)

Semi-Quantitative Analysis for Determining the Optimal Threshold Value on CT to Measure the Solid Portion of Pulmonary Subsolid Nodules
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_dh473hjaidvgo6igk1uit46r7i