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View article: Approach to the Evaluation and Management of Interstitial Lung Abnormalities: An Official American Thoracic Society Clinical Statement
Approach to the Evaluation and Management of Interstitial Lung Abnormalities: An Official American Thoracic Society Clinical Statement Open
Background: There is growing interest in identifying early stages of interstitial lung disease (ILD) to improve patient outcomes. This document reviews updated evidence on interstitial lung abnormalities (ILAs); provides suggestions…
View article: Chest CT in the Evaluation of COPD: Recommendations of Asian Society of Thoracic Radiology
Chest CT in the Evaluation of COPD: Recommendations of Asian Society of Thoracic Radiology Open
Chronic Obstructive Pulmonary Disease (COPD) is a significant public health challenge globally, with Asia facing unique burdens due to varying demographics, healthcare access, and socioeconomic conditions. Recognizing the limitations of pu…
View article: Pattern-based volumetric CT quantification to predict radiation pneumonitis in patients with non-small-cell lung cancer who have diffuse parenchymal lung disease
Pattern-based volumetric CT quantification to predict radiation pneumonitis in patients with non-small-cell lung cancer who have diffuse parenchymal lung disease Open
High percentage of lung volume occupied by ILD, especially fibrosis correlates with severe RP.
View article: Publisher Correction: Inter-reader agreement for diagnosing thymic cysts on chest MRI in two tertiary referral centers
Publisher Correction: Inter-reader agreement for diagnosing thymic cysts on chest MRI in two tertiary referral centers Open
View article: Inter-reader agreement for diagnosing thymic cysts on chest MRI in two tertiary referral centers
Inter-reader agreement for diagnosing thymic cysts on chest MRI in two tertiary referral centers Open
View article: Prognostic Value of Preoperative N Subcategories in Patients with Stage IIIA N2 Non–Small Cell Lung Cancer
Prognostic Value of Preoperative N Subcategories in Patients with Stage IIIA N2 Non–Small Cell Lung Cancer Open
Purpose To evaluate the preoperative risk factors in patients with pathologic IIIA N2 non-small cell lung cancer (NSCLC) who underwent upfront surgery and to evaluate the prognostic value of new N subcategories. Materials and Methods Patie…
View article: Evaluation of retrieval accuracy and visual similarity in content-based image retrieval of chest CT for obstructive lung disease
Evaluation of retrieval accuracy and visual similarity in content-based image retrieval of chest CT for obstructive lung disease Open
The aim of our study was to assess the performance of content-based image retrieval (CBIR) for similar chest computed tomography (CT) in obstructive lung disease. This retrospective study included patients with obstructive lung disease who…
View article: Approximating Intermediate Feature Maps of Self-Supervised Convolution Neural Network to Learn Hard Positive Representations in Chest Radiography
Approximating Intermediate Feature Maps of Self-Supervised Convolution Neural Network to Learn Hard Positive Representations in Chest Radiography Open
View article: Assessment of Treatment Response in Patients With Severe Asthma Using Visual and Quantitative Analysis of Chest CT
Assessment of Treatment Response in Patients With Severe Asthma Using Visual and Quantitative Analysis of Chest CT Open
Visual and quantitative CT parameters of normal, AT without emph, and total branch count may be effective for evaluating treatment response in patients with severe asthma.
View article: A hybrid of supervised and unsupervised deep learning models for multi-vendor kernel conversion of chest CT images
A hybrid of supervised and unsupervised deep learning models for multi-vendor kernel conversion of chest CT images Open
View article: Human-AI Symbiosis: A Path Forward to Improve Chest Radiography and the Role of Radiologists in Patient Care
Human-AI Symbiosis: A Path Forward to Improve Chest Radiography and the Role of Radiologists in Patient Care Open
Contains fulltext : 305360.pdf (Publisher’s version ) (Open Access)
View article: High-resolution CT phenotypes in pulmonary sarcoidosis: a multinational Delphi consensus study
High-resolution CT phenotypes in pulmonary sarcoidosis: a multinational Delphi consensus study Open
View article: Sublobar resection in non-small cell lung cancer: patient selection criteria and risk factors for recurrence
Sublobar resection in non-small cell lung cancer: patient selection criteria and risk factors for recurrence Open
Objective: To validate selection criteria for sublobar resection in patients with lung cancer with respect to recurrence, and to investigate predictors for recurrence in patients for whom the criteria are not suitable. Methods: Patients wh…
View article: High urinary desmosine is associated with long-term mortality in patients with COPD
High urinary desmosine is associated with long-term mortality in patients with COPD Open
COPD patients with high baseline urinary desmosines demonstrated significantly higher mortality than those with lower urinary desmosines. High urinary desmosine is independently associated with an increased risk of long-term mortality i…
View article: Development of a patient-specific chest computed tomography imaging phantom with realistic lung lesions using silicone casting and three-dimensional printing
Development of a patient-specific chest computed tomography imaging phantom with realistic lung lesions using silicone casting and three-dimensional printing Open
View article: Image Turing test and its applications on synthetic chest radiographs by using the progressive growing generative adversarial network
Image Turing test and its applications on synthetic chest radiographs by using the progressive growing generative adversarial network Open
View article: CheSS: Chest X-Ray Pre-trained Model via Self-supervised Contrastive Learning
CheSS: Chest X-Ray Pre-trained Model via Self-supervised Contrastive Learning Open
View article: Generative Adversarial Network-Based Image Conversion Among Different Computed Tomography Protocols and Vendors: Effects on Accuracy and Variability in Quantifying Regional Disease Patterns of Interstitial Lung Disease
Generative Adversarial Network-Based Image Conversion Among Different Computed Tomography Protocols and Vendors: Effects on Accuracy and Variability in Quantifying Regional Disease Patterns of Interstitial Lung Disease Open
CT conversion using a RouteGAN can improve the accuracy and variability of CT images obtained using different scan parameters and manufacturers in deep learning-based quantification of ILD.
View article: Overcoming the Challenges in the Development and Implementation of Artificial Intelligence in Radiology: A Comprehensive Review of Solutions Beyond Supervised Learning
Overcoming the Challenges in the Development and Implementation of Artificial Intelligence in Radiology: A Comprehensive Review of Solutions Beyond Supervised Learning Open
Artificial intelligence (AI) in radiology is a rapidly developing field with several prospective clinical studies demonstrating its benefits in clinical practice. In 2022, the Korean Society of Radiology held a forum to discuss the challen…
View article: Computerized Tomographic Assessment for Phenotyping Asthma
Computerized Tomographic Assessment for Phenotyping Asthma Open
View article: Artificial Intelligence Analysis of Bronchiectasis Is Predictive of Outcomes in Chronic Obstructive Pulmonary Disease
Artificial Intelligence Analysis of Bronchiectasis Is Predictive of Outcomes in Chronic Obstructive Pulmonary Disease Open
View article: Characteristics and outcomes of anterior mediastinal cystic lesions diagnosed on chest MRI: implications for management of cystic lesions
Characteristics and outcomes of anterior mediastinal cystic lesions diagnosed on chest MRI: implications for management of cystic lesions Open
View article: Self-evolving vision transformer for chest X-ray diagnosis through knowledge distillation
Self-evolving vision transformer for chest X-ray diagnosis through knowledge distillation Open
Although deep learning-based computer-aided diagnosis systems have recently achieved expert-level performance, developing a robust model requires large, high-quality data with annotations that are expensive to obtain. This situation poses …
View article: Utilizing Synthetic Nodules for Improving Nodule Detection in Chest Radiographs
Utilizing Synthetic Nodules for Improving Nodule Detection in Chest Radiographs Open
View article: <i>BJR</i> functional imaging of the lung special feature: introductory editorial
<i>BJR</i> functional imaging of the lung special feature: introductory editorial Open
Journal Article BJR functional imaging of the lung special feature: introductory editorial Get access Philippe A Grenier, Philippe A Grenier Foch Hospital, Suresnes, France Search for other works by this author on: Oxford Academic Google S…
View article: AI can evolve without labels: self-evolving vision transformer for chest X-ray diagnosis through knowledge distillation
AI can evolve without labels: self-evolving vision transformer for chest X-ray diagnosis through knowledge distillation Open
Although deep learning-based computer-aided diagnosis systems have recently achieved expert-level performance, developing a robust deep learning model requires large, high-quality data with manual annotation, which is expensive to obtain. …
View article: Prognosis for Pneumonic-Type Invasive Mucinous Adenocarcinoma in a Single Lobe on CT: Is It Reasonable to Designate It as Clinical T3?
Prognosis for Pneumonic-Type Invasive Mucinous Adenocarcinoma in a Single Lobe on CT: Is It Reasonable to Designate It as Clinical T3? Open
The RFS of patients with pIMA was comparable to that of patients with clinical stage T4 lung cancer. Separate nodules on CT were associated with poor RFS and OS in patients with pIMA.
View article: Multi-task vision transformer using low-level chest X-ray feature corpus for COVID-19 diagnosis and severity quantification
Multi-task vision transformer using low-level chest X-ray feature corpus for COVID-19 diagnosis and severity quantification Open
View article: Deep radiomics-based survival prediction in patients with chronic obstructive pulmonary disease
Deep radiomics-based survival prediction in patients with chronic obstructive pulmonary disease Open
View article: Vision Transformer using Low-level Chest X-ray Feature Corpus for COVID-19 Diagnosis and Severity Quantification
Vision Transformer using Low-level Chest X-ray Feature Corpus for COVID-19 Diagnosis and Severity Quantification Open
Developing a robust algorithm to diagnose and quantify the severity of COVID-19 using Chest X-ray (CXR) requires a large number of well-curated COVID-19 datasets, which is difficult to collect under the global COVID-19 pandemic. On the oth…