Imaging Features of Idiopathic Interstitial Lung Diseases

Batra, Kiran; Adams, Traci N.

doi:10.1097/rti.0000000000000728

Cited by 5 publications

(4 citation statements)

References 84 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A number of retrospective studies have shown that positron emission tomography cannot sufficiently differentiate between inflammation and malignancy, rendering resection to be the only definitive diagnostic method for this type of pathology ( 24 , 25 ). With the advancement of histopathologic and transbronchial biopsy techniques, it is now possible to diagnose DIP effectively while minimizing patient harm compared to open biopsy, open-chest biopsy has been gradually replaced ( 26 ). In addition, the TBLB technique used in the present case has markedly reduced the postoperative recovery time of patients, whilst accurately diagnosing their disease ( 3 ).…”

Section: Discussionmentioning

confidence: 99%

Desquamative interstitial pneumonia: A case report

Zhang,

Yu,

Yang

et al. 2024

Exp Ther Med

View full text Add to dashboard Cite

Diffuse cystic lung diseases (DCLDs) are a group of heterogeneous lung diseases that are characterized by inflated spaces or cysts within the lung parenchyma. They also exhibit similar imaging characteristics and clinical manifestations compared with those of cystic lesions, such as pulmonary cavities, emphysema, bronchiectasis and honeycomb lung. The most common DCLDs encountered in the clinic include lymphangioleiomyomatosis, Birt-Hogg-Dubé syndrome, Langerhans cell histiocytosis and lymphocytic interstitial pneumonia. In particular, accurate diagnosis of DCLDs in terms of the different lesions found is important, because their clinical courses, prognoses and treatment strategies vary widely. However, because DCLDs usually have overlapping clinical presentations, diagnosis typically requires a combination of clinical considerations that take into account characteristics of the cyst, its distribution, organ of origin and background parenchymal findings. The present report documents the case of a 73-year-old man diagnosed with desquamative interstitial pneumonia (DIP). The patient was admitted to the hospital due to chest tightness, shortness of breath and intermittent fever. The patient had been a smoker for >60 years and had stopped smoking for 6 months before being admitted. A transbronchial lung biopsy, bronchoscopy and alveolar lavage cytopathogen culture were performed to confirm the diagnosis of desquamative interstitial pneumonia (DIP). The patient was treated with hormonal therapy and advised to abstain from smoking. The diagnosis of DIP in comparison with other DCLDs was summarized for the purpose of providing a clinical basis for the accurate clinical diagnosis of DIP and the development of evidence-based practice guidelines.

show abstract

Section: Discussionmentioning

confidence: 99%

Desquamative interstitial pneumonia: A case report

Zhang,

Yu,

Yang

et al. 2024

Exp Ther Med

View full text Add to dashboard Cite

show abstract

“…Unlike the above disease's automatic diagnosis, there are few studies on the automatic diagnosis of honeycomb lung CT images, especially the identification of different grades of diseases. In fact, accurate grading of honeycomb lung can be achieved by considering its location, size, and texture characteristics [42]. Inspired by this, in this paper, we will pay attention to the automatic grading of honeycomb lung CT images to evaluate the severity of the disease.…”

Section: Grading Diagnosismentioning

confidence: 99%

Multitask Learning for Concurrent Grading Diagnosis and Semi-Supervised Segmentation of Honeycomb Lung in CT Images

Dong,

Yang,

Feng

2024

Electronics

View full text Add to dashboard Cite

Honeycomb lung is a radiological manifestation of various lung diseases, seriously threatening patients’ lives worldwide. In clinical practice, the precise localization of lesions and assessment of their severity are crucial. However, accurate segmentation and grading are challenging for physicians due to the heavy annotation burden and diversity of honeycomb lungs. In this paper, we propose a multitask learning architecture for semi-supervised segmentation and grading diagnosis to achieve automatic localization and assessment of lesions. To the best of our knowledge, this is the first method that integrates a grading diagnosis task into honeycomb lung semi-supervised segmentation. Firstly, we adapt cross-learning to capture local features and long-range dependencies from the CNN and transformer. Secondly, considering the diversity of honeycomb lung lesions, the shape-edge aware constraint is designed to assist the model in locating lesions. Then, in order to better understand the different levels of information in the images, we develop global contrast and local contrast learning to enhance the model’s learning of semantic-level and pixel-level features. Lastly, aiming to improve the diagnostic accuracy, we propose a gradient thresholding algorithm to integrate the segmentation predictions into the grading diagnosis network. The experiment’s results based on the in-house honeycomb lung dataset demonstrate the superiority of our method. Compared to other methods, our approach achieves a state-of-the-art performance. In particular, in external data testing, our predictions are consistent with physicians in the majority of cases. In addition, the segmentation results based on the public Kvasir-SEG dataset also indicate that our method has good generalization ability.

show abstract

“…Although there is a shared attribute with ILDs where lung volumes are reduced without airflow obstruction, small airways play a role in lung remodeling in the NSIP pattern. Most ILDs result in structural changes in small airways [70] and alveoli. Additionally, HP can cause inflammation to the bronchioles, leading to bronchial obstruction.…”

Section: The Small Airway Disease In Other Fibrotic Diseasesmentioning

confidence: 99%

The Role of Small Airway Disease in Pulmonary Fibrotic Diseases

Barkas,

Daniil,

Kotsiou

2023

JPM

View full text Add to dashboard Cite

Small airway disease (SAD) is a pathological condition that affects the bronchioles and non-cartilaginous airways 2 mm or less in diameter. These airways play a crucial role in respiratory function and are often implicated in various pulmonary disorders. Pulmonary fibrotic diseases are characterized by the thickening and scarring of lung tissue, leading to progressive respiratory failure. We aimed to present the link between SAD and fibrotic lung conditions. The evidence suggests that SAD may act as a precursor or exacerbating factor in the progression of fibrotic diseases. Patients with fibrotic conditions often exhibit signs of small airway dysfunction, which can contribute to worsening respiratory symptoms and decreased lung function. Moreover, individuals with advanced SAD are at a heightened risk of developing fibrotic changes in the lung. The interplay between inflammation, environmental factors, and genetic predisposition further complicates this association. The early detection and management of SAD can potentially mitigate the progression of fibrotic diseases, highlighting the need for comprehensive clinical evaluation and research. This review emphasizes the need to understand the evolving connection between SAD and pulmonary fibrosis, urging further detailed research to clarify the causes and potential treatment between the two entities.

show abstract

Imaging Features of Idiopathic Interstitial Lung Diseases

Cited by 5 publications

References 84 publications

Desquamative interstitial pneumonia: A case report

Desquamative interstitial pneumonia: A case report

Multitask Learning for Concurrent Grading Diagnosis and Semi-Supervised Segmentation of Honeycomb Lung in CT Images

The Role of Small Airway Disease in Pulmonary Fibrotic Diseases

Contact Info

Product

Resources

About