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JCM
Special Issues
Aiming for Early Detection and Prevention of Pulmonary Diseases
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Aiming for Early Detection and Prevention of Pulmonary Diseases

A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Respiratory Medicine".

Deadline for manuscript submissions: closed (20 April 2026) | Viewed by 595

Special Issue Editors

Dr. Nektarios Anagnostopoulos

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Guest Editor
Interventional Pulmonology Unit, 1st Respiratory Department of National and Kapodistrian University of Athens, Sotiria Chest Diseases Hospital, 11527 Athens, Greece
Interests: interventional pulmonology; lung cancer; interstitial lung disease
Dr. Kostas A. Papavassiliou

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Guest Editor
First University Department of Respiratory Medicine, 'Sotiria' Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
Interests: respiratory medicine; tumor biology; molecular oncology; lung carcinogenesis; transcription factors; cancer cell signaling
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Advances in preventive and pre-emptive medicine are rapidly transforming the management of respiratory diseases. Artificial intelligence and novel imaging technologies, including radiomics, automated segmentation, and guided bronchoscopy, now enable earlier and more accurate detection of pulmonary nodules and subtle parenchymal changes. In parallel, the discovery of biomarkers and genomic tools has broadened opportunities for early screening and risk stratification in conditions such as lung cancer and interstitial lung diseases.

These innovations are complemented by evolving strategies in chronic respiratory disorders. In asthma and chronic obstructive pulmonary disease (COPD), new approaches to early diagnosis, phenotyping, and personalized treatment hold promise for preventing disease progression and exacerbations. Similarly, advances in sleep medicine are improving recognition and management of sleep-disordered breathing, with important implications for long-term cardiopulmonary health.

This Special Issue of the Journal of Clinical Medicine aims to highlight cutting-edge diagnostic techniques, novel clinical evidence, and innovative strategies for the prevention and early treatment of respiratory diseases. By integrating perspectives from oncology, interstitial lung disease, obstructive airway disorders, and sleep medicine, we seek to provide a comprehensive overview of how early intervention can improve outcomes across the spectrum of respiratory care.

We look forward to receiving your contributions.

Dr. Nektarios Anagnostopoulos
Dr. Kostas A. Papavassiliou
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Clinical Medicine is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • early diagnosis
  • prevention strategies
  • respiratory diseases
  • artificial intelligence
  • asthma
  • chronic obstructive pulmonary disease (COPD)
  • interstitial lung disease
  • sleep-disordered breathing

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Published Papers (1 paper)

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Research

12 pages, 255 KB  
Article
Ultrasonographic Assessment of the Diaphragm and the Effects of Smoking on Respiratory Function in Individuals Attending a Smoking Cessation Center
by Ahmet Utus, Semiramis Ozyilmaz, Turgay Karatas, Nurullah Dag, Gurkan Ural, Ipek Balikci Cicek and Murat Kılıc
J. Clin. Med. 2026, 15(5), 1950; https://doi.org/10.3390/jcm15051950 - 4 Mar 2026
Viewed by 396
Abstract
Background: Smoking adversely affects pulmonary function and systemic health; however, its impact on diaphragm muscle morphology and its relationship with functional capacity and psychosocial outcomes in individuals without clinically diagnosed respiratory disease remain unclear. This study aimed to evaluate diaphragm muscle thickness [...] Read more.
Background: Smoking adversely affects pulmonary function and systemic health; however, its impact on diaphragm muscle morphology and its relationship with functional capacity and psychosocial outcomes in individuals without clinically diagnosed respiratory disease remain unclear. This study aimed to evaluate diaphragm muscle thickness in smokers and to investigate its associations with pulmonary function, functional capacity, sleep quality, and depression. Methods: This cross-sectional observational study included 20 smokers and 20 age-matched never-smokers. Pulmonary function was assessed using spirometry. Functional capacity was evaluated with the 6-Minute Walk Test (6 MWT) and the 30 s sit-to-stand test (30 s STST). Sleep quality and depression were assessed using the Pittsburgh Sleep Quality Index (PSQI) and the Beck Depression Inventory (BDI). Inspiratory and expiratory diaphragm muscle thicknesses were measured by ultrasonography. Between-group comparisons and correlation analyses were performed. Results: Smokers exhibited significant impairments in all assessed parameters except expiratory diaphragm thickness compared with controls (p < 0.05). Large to very large effect sizes were observed for FEV1, FEF25–75%, functional capacity, and inspiratory diaphragm thickness. Inspiratory diaphragm thickness showed moderate to strong positive correlations with pulmonary function parameters and a very strong positive correlation with functional capacity, while strong negative correlations were observed with sleep quality and depression (p < 0.05). Smoking duration was strongly associated with poorer functional and psychosocial outcomes. Conclusions: Smoking is associated with early and multidimensional impairments in diaphragm muscle morphology, pulmonary function, functional capacity, and psychosocial status, even in individuals without overt respiratory disease. Reduced inspiratory diaphragm thickness may represent an early and clinically meaningful marker of smoking-related respiratory muscle dysfunction. Full article
(This article belongs to the Special Issue Aiming for Early Detection and Prevention of Pulmonary Diseases)
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