Role of MDCT in The Evaluation of Smoking-Related Lung Diseases

Abstract Background: Chronic smoking is a major risk factor for chronic obstructive pulmonary disease (COPD), interstitial lung diseases (ILDs), and lung malignancies. MDCT with HRCT technique plays a key role in detecting and characterizing these conditions. Aim: To evaluate the role of MDCT in assessing smoking-related lung diseases. Materials and Methods: A hospital-based observational study was conducted among 100 chronic smokers. HRCT images were evaluated for airway and parenchymal abnormalities. Results & Discussion: Centrilobular lucencies (43%), bronchial wall thickening (34%), and hyperinflation (27%) were the most common findings. COPD was diagnosed in 49% of cases, while ILDs and suspicious neoplastic lesions were identified in the remaining patients. Conclusion: MDCT is a sensitive imaging modality for detecting and characterizing smoking-related lung diseases.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-30
DOI
https://doi.org/10.5281/zenodo.18170058
Primary Topic
Lung Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Role of MDCT in The Evaluation of Smoking-Related Lung Diseases

International Journal of Medical Science and Innovative Research (IJMSIR)
Zenodo (CERN European Organization for Nuclear Research)
Lung Cancer Diagnosis and Treatment
article

Role of MDCT in The Evaluation of Smoking-Related Lung Diseases

International Journal of Medical Science and Innovative Research (IJMSIR)
article en

Abstract

Abstract Background: Chronic smoking is a major risk factor for chronic obstructive pulmonary disease (COPD), interstitial lung diseases (ILDs), and lung malignancies. MDCT with HRCT technique plays a key role in detecting and characterizing these conditions. Aim: To evaluate the role of MDCT in assessing smoking-related lung diseases. Materials and Methods: A hospital-based observational study was conducted among 100 chronic smokers. HRCT images were evaluated for airway and parenchymal abnormalities. Results & Discussion: Centrilobular lucencies (43%), bronchial wall thickening (34%), and hyperinflation (27%) were the most common findings. COPD was diagnosed in 49% of cases, while ILDs and suspicious neoplastic lesions were identified in the remaining patients. Conclusion: MDCT is a sensitive imaging modality for detecting and characterizing smoking-related lung diseases.

Zenodo (CERN European Organization for Nuclear Research)
Innovative Research (United States) (US)
Good health and well-being
Openalex Percentile: Top 26%
Lung Cancer Diagnosis and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.