Research map: Multi-component radiological model based on intratumoral CT threshold segmentation for predicting visceral pleural invasion in lung adenocarcinoma ≤ 30 mm
Back to the article
Papers in this map
Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
· Freddie Bray · 2024 · 26051 citations · Cited by this paper
Deep learning–based CT slice synthesis improves radiomic feature reproducibility and discriminative performance in lung nodule assessment
· 2026 · Related
Radiomics: Images Are More than Pictures, They Are Data
· Robert J. Gillies · 2015 · 8632 citations · Cited by this paper
Percentage signal recovery plus relative cerebral blood volume: a practical dual-parameter strategy for differentiating post-stereotactic radiosurgery tumour progression from radiation necrosis in brain metastases
· 2026 · Related
The Eighth Edition Lung Cancer Stage Classification
· Frank C. Detterbeck · 2016 · 1717 citations · Cited by this paper
A pre-trained foundation model framework for multiplanar MRI classification of extramural vascular invasion and mesorectal fascia invasion in rectal cancer
· 2026 · Related
Perinodular and Intranodular Radiomic Features on Lung CT Images Distinguish Adenocarcinomas from Granulomas
· Niha G. Beig · 2018 · 338 citations · Cited by this paper
A radio-pathological fusion model for predicting PD-L1 expression and immunotherapy response in non-small cell lung cancer
· 2026 · Related
Lung Adenocarcinomas Manifesting as Radiological Part-Solid Nodules Define a Special Clinical Subtype
· Ting Ye · 2019 · 290 citations · Cited by this paper
Reduced environmental impact in body CT imaging with deep learning reconstruction: experience of a high-volume tertiary referral center
· 2026 · Related
Solid tumors versus mixed tumors with a ground-glass opacity component in patients with clinical stage IA lung adenocarcinoma: Prognostic comparison using high-resolution computed tomography findings
· Yasuhiro Tsutani · 2012 · 121 citations · Cited by this paper
Teleradiology and malpractice: interpreting the risk in context
· 2026 · Related
Deep learning and medical imaging
· Eyal Klang · 2018 · 113 citations · Cited by this paper
Critical dialogue: Interstitial lung abnormalities: an evolving concept
· 2026 · Related
Lung Adenocarcinoma: Correlation of Quantitative CT Findings with Pathologic Findings
· Jane P. Ko · 2016 · 93 citations · Cited by this paper
A review of radiological characteristics and patterns of fat necrosis after different autologous breast surgery techniques
· 2026 · Related
Predictive CT Features of Visceral Pleural Invasion by T1-Sized Peripheral Pulmonary Adenocarcinomas Manifesting as Subsolid Nodules
· Su Yeon Ahn · 2017 · 72 citations · Cited by this paper
MRI- and report-based multimodal model with SHAP-based explanation for preoperative prediction of deep stromal invasion in early-stage cervical cancer
· 2026 · Related
Prognostic value of visceral pleural invasion in non‐small cell lung cancer: A propensity score matching study based on the SEER registry
· Xiaodong Yang · 2017 · 56 citations · Cited by this paper
Assessment of inter-reader agreement and diagnostic performance of Node-RADS in colon cancer
· 2026 · Related
Prediction of visceral pleural invasion in lung cancer on CT: deep learning model achieves a radiologist-level performance with adaptive sensitivity and specificity to clinical needs
· Hyewon Choi · 2020 · 50 citations · Cited by this paper
Automated assessment of malignant degree of small peripheral adenocarcinomas using volumetric CT data: Correlation with pathologic prognostic factors
· Masahiro Yanagawa · 2010 · 49 citations · Cited by this paper
Impact of visceral pleural invasion on the association of extent of lymphadenectomy and survival in stage I non‐small cell lung cancer
· Yang Wo · 2019 · 45 citations · Cited by this paper
Visceral Pleural Invasion in Pulmonary Adenocarcinoma: Differences in CT Patterns between Solid and Subsolid Cancers
· Benedikt H. Heidinger · 2019 · 45 citations · Cited by this paper
CT Predictors of Visceral Pleural Invasion in Patients with Non–Small Cell Lung Cancers 30 mm or Smaller
· Qi Sun · 2024 · 38 citations · Cited by this paper
Recurrence of Non–Small Cell Lung Cancer With Visceral Pleural Invasion
· Nasser Khaled Altorki · 2024 · 32 citations · Cited by this paper
Autofluorescence for the diagnosis of visceral pleural invasion in non-small-cell lung cancer
· Hiromitsu Takizawa · 2017 · 31 citations · Cited by this paper
Modification of Pathologic T Classification for Non-small Cell Lung Cancer With Visceral Pleural Invasion
· Run-Bin Liang · 2021 · 31 citations · Cited by this paper
CT-Based Deep-Learning Model for Spread-Through-Air-Spaces Prediction in Ground Glass-Predominant Lung Adenocarcinoma
· Mong‐Wei Lin · 2023 · 30 citations · Cited by this paper
What is the significance of pleural tags?
· James F. Gruden · 1995 · 23 citations · Cited by this paper
[Chinese Medical Association guideline for clinical diagnosis and treatment of lung cancer (2024 edition)].
· 2024 · 21 citations · Cited by this paper
Is lobectomy superior to sub-lobectomy in non-small cell lung cancer with pleural invasion? A population-based competing risk analysis
· Xue Song · 2022 · 18 citations · Cited by this paper
Diagnosis of visceral pleural invasion using confocal laser endomicroscopy during lung cancer surgery
· Toru Sawada · 2021 · 16 citations · Cited by this paper
A CT-based deep learning model: visceral pleural invasion and survival prediction in clinical stage IA lung adenocarcinoma
· Xiaofeng Lin · 2023 · 16 citations · Cited by this paper
Solid Attenuation Components Attention Deep Learning Model to Predict Micropapillary and Solid Patterns in Lung Adenocarcinomas on Computed Tomography
· Li-Wei Chen · 2022 · 15 citations · Cited by this paper
Minor (≤ 10%) Ground-Glass Opacity Component in Clinical Stage I Non–Small Cell Lung Cancer: Associations With Pathologic Characteristics and Clinical Outcomes
· Meiling Li · 2024 · 15 citations · Cited by this paper
Peritumoral and intratumoral radiomics for predicting visceral pleural invasion in lung adenocarcinoma based on preoperative computed tomography (CT)
· Y-Q Zuo · 2024 · 13 citations · Cited by this paper
Validation of the 9th edition of the TNM staging system for non-small cell lung cancer with lobectomy in stage IA–IIIA
· Rang-Rang Wang · 2024 · 10 citations · Cited by this paper
Preoperative evaluation of visceral pleural invasion in peripheral lung cancer utilizing deep learning technology
· Yujin Kudo · 2024 · 10 citations · Cited by this paper
Source: OpenAlex (CC0)