Cargando…

Clinical and CT Features of Subsolid Pulmonary Nodules With Interval Growth: A Systematic Review and Meta-Analysis

BACKGROUND: Establishing risk-based follow-up management strategies is crucial to the surveillance of subsolid pulmonary nodules (SSNs). However, the risk factors for SSN growth are not currently clear. This study aimed to perform a systematic review and meta-analysis to identify clinical and CT fea...

Descripción completa

Detalles Bibliográficos
Autores principales:	Liang, Xin, Liu, Mengwen, Li, Meng, Zhang, Li
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Oncology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9289285/ https://www.ncbi.nlm.nih.gov/pubmed/35860567 http://dx.doi.org/10.3389/fonc.2022.929174

Ejemplares similares

The Natural Growth of Subsolid Nodules Predicted by Quantitative Initial CT Features: A Systematic Review
por: Gao, Chen, et al.
Publicado: (2020)

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

The natural growth history of persistent pulmonary subsolid nodules: Radiology, genetics, and clinical management
por: Zhang, Zhedong, 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)

The long-term course of subsolid nodules and predictors of interval growth on chest CT: a systematic review and meta-analysis
por: Wu, Linyu, et al.
Publicado: (2022)

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

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

Subsolid pulmonary nodules: Controversy and perspective
por: Hammer, Mark M., et al.
Publicado: (2020)

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)

Managing Persistent Subsolid Nodules in Lung Cancer: Education, Decision Making, and Impact of Interval Growth Patterns
por: Liu, Yung-Chi, 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)

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

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)

The Growth Trend Predictions in Pulmonary Ground Glass Nodules Based on Radiomic CT Features
por: Gao, Chen, et al.
Publicado: (2020)

Prediction of single pulmonary nodule growth by CT radiomics and clinical features — a one-year follow-up study
por: Yang, Ran, et al.
Publicado: (2022)

Measurement Variability of Persistent Pulmonary Subsolid Nodules on Same-Day Repeat CT: What Is the Threshold to Determine True Nodule Growth during Follow-Up?
por: Kim, Hyungjin, et al.
Publicado: (2016)

What’s New on Quantitative CT Analysis as a Tool to Predict Growth in Persistent Pulmonary Subsolid Nodules? A Literature Review
por: Borghesi, Andrea, et al.
Publicado: (2020)

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)

Validation of prediction models for risk stratification of incidentally detected pulmonary subsolid nodules: a retrospective cohort study in a Korean tertiary medical centre
por: Kim, Hyungjin, et al.
Publicado: (2018)

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

CT-Detected Subsolid Nodules: A Predictor of Lung Cancer Development at Another Location?
por: Schreuder, Anton, et al.
Publicado: (2021)

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

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

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)

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)

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

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

Predicting malignant potential of subsolid nodules: can radiomics preempt longitudinal follow up CT?
por: Digumarthy, Subba R., et al.
Publicado: (2019)

Deep learning-based growth prediction for sub-solid pulmonary nodules on CT images
por: Liao, Ri-qiang, et al.
Publicado: (2022)

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)

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

Lung cancer probability and clinical outcomes of baseline and new subsolid nodules detected on low-dose CT screening
por: Kim, Yeon Wook, et al.
Publicado: (2021)

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

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

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

Cannot write session to /tmp/vufind_sessions/sess_sil5162id4dtha8q89flladq7l