Cargando…

A CT-based nomogram for predicting the risk of adenocarcinomas in patients with subsolid nodule according to the 2021 WHO classification

PURPOSE: To establish a nomogram for predicting the risk of adenocarcinomas in patients with subsolid nodules (SSNs) according to the 2021 WHO classification. METHODS: A total of 656 patients who underwent SSNs resection were retrospectively enrolled. Among them, 407 patients were assigned to the de...

Descripción completa

Detalles Bibliográficos
Autores principales:	Song, Qilong, Song, Biao, Li, Xiaohu, Wang, Bin, Li, Yuan, Chen, Wu, Wang, Zhaohua, Wang, Xu, Yu, Yongqiang, Min, Xuhong, Ma, Dongchun
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2022
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9446567/ https://www.ncbi.nlm.nih.gov/pubmed/36064495 http://dx.doi.org/10.1186/s40644-022-00483-1

Ejemplares similares

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

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

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)

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

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

The fate of subsolid nodule: predictable or unpredictable?
por: Wu, Yun-Ju, 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)

Establishment and validation a prediction model for discrimination of invasive adenocarcinomas for patients with peripheral pulmonary subsolid nodules
por: Pan, Wen-Biao, 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)

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

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

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

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

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

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

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

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

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

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

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

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)

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

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)

Malignancy estimation of Lung-RADS criteria for subsolid nodules on CT: accuracy of low and high risk spectrum when using NLST nodules
por: Chung, Kaman, et al.
Publicado: (2017)

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)

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)

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

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

Determining malignancy in CT guided fine needle aspirate biopsy of subsolid lung nodules: Is core biopsy necessary?
por: Kiranantawat, Nantaka, 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)

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

Electromagnetic navigation bronchoscopic dye marking for localization of small subsolid nodules: Retrospective observational study
por: Hyun, Kwanyong, et al.
Publicado: (2019)

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

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

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)

Predicting malignancy: subsolid nodules detected on LDCT in a surgical cohort of East Asian patients
por: Wang, Yung-Hsien, et al.
Publicado: (2020)

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)

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

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)

Cannot write session to /tmp/vufind_sessions/sess_655s9q6q757ud56p5v841o7s4n