September 17, 2025BreatheOpen Access

The road less travelled: thoracic ultrasound, advanced imaging and artificial intelligence for early diagnosis of non-expandable lung in malignant pleural effusion

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Authors

GMGianluca MarchiUniversity of Pisa

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Implication

Observational findings suggest improved diagnostic accuracy for non-expandable lung in malignant pleural effusion through thoracic ultrasound and AI integration.

Key Points

Improved diagnostic techniques enhance outcomes for patients with malignant pleural effusion, reducing hospital stays and complications.
Using thoracic ultrasound with M-mode increases early detection of non-expandable lung in malignant pleural effusion, potentially cutting diagnostic delays.
Integration of artificial intelligence in multimodal imaging might significantly refine diagnostic methods for non-expandable lung conditions.
Emerging imaging techniques, like two-dimensional shear wave elastography, hold promise in detecting non-expandable lung, yet they require further validation.

Cite This Study

Gianluca Marchi (2025) studied this question.

synapsesocial.com/papers/68d45b3431b076d99fa5df02 https://doi.org/10.1183/20734735.0179-2025

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Implication

Observational findings suggest improved diagnostic accuracy for non-expandable lung in malignant pleural effusion through thoracic ultrasound and AI integration.

The road less travelled: thoracic ultrasound, advanced imaging and artificial intelligence for early diagnosis of non-expandable lung in malignant pleural effusion

Discussion

Member takes

Implication

Key Points

Cite This Study

The road less travelled: thoracic ultrasound, advanced imaging and artificial intelligence for early diagnosis of non-expandable lung in malignant pleural effusion

Discussion

Member takes

Implication

Key Points

Cite This Study

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