Back

Comparison of High-Resolution Computed Tomography Patterns in Adult with Cystic Fibrosis and Non- Cystic Fibrosis Bronchiectasis in a South Asian Country Bangladesh: A Retrospective Cross-sectional Study

Majumder, S.; Biswas, P.; Chakrabortty, R.; Ahmed, S.; Rahman, M. A.

2026-03-10 respiratory medicine
10.64898/2026.03.09.26347994 medRxiv
Show abstract

BackgroundBronchiectasis in adults often goes undiagnosed following the routine assessment. Cystic Fibrosis (CF) is usually diagnosed during childhood, but some cases are identified in adulthood when disease is mild. High-resolution computed tomography (HRCT) of chest may offer structural information that can indicate CF as an underlying etiology. ObjectiveTo compare the HRCT features of adult patients with CF and non-CF bronchiectasis and to determine the radiologic features that may be suggestive of CF. MethodsThis retrospective, analytical, cross-sectional study was carried out in Bangladesh Medical University after IRB clearance. Total 130 adults (12 with CF and 118 with non-CF bronchiectasis) of both sexes, whose bronchiectasis was confirmed by chest HRCT were included. Imaging findings were assessed based on Reid morphological classification, anatomical distribution and extent of spread within the lungs, and their association was tested using chi-square test with statistical significance of p<0.05. ResultsCystic bronchiectasis was more common in CF than non-CF patients (83.3% vs 29.7; p<0.001). Mixed central-peripheral extension had been found a considerable associated with CF (66.7% vs. 42.4; p=0.034). There was no statistically significant difference in right lung lobar distribution (p=0.540) but combined upper and lower lobe involvement on the left side was more common in CF patients (54.5%) than non-CF patients (21.3) (p=0.054). ConclusionAdult CF had unique chest HRCT imaging characteristics when compared to non-CF bronchiectasis, especially cystic morphology and mixed extension. Identification of such features could help physician in the early diagnosis and selection of treatment strategy.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
BMJ Open Respiratory Research
32 papers in training set
Top 0.1%
12.6%
2
PLOS ONE
4510 papers in training set
Top 15%
12.5%
3
Journal of Cystic Fibrosis
15 papers in training set
Top 0.1%
6.4%
4
Pediatric Pulmonology
14 papers in training set
Top 0.1%
4.9%
5
Genomics
60 papers in training set
Top 0.1%
4.9%
6
Respiratory Research
19 papers in training set
Top 0.1%
4.9%
7
Scientific Reports
3102 papers in training set
Top 23%
4.9%
50% of probability mass above
8
Frontiers in Medicine
113 papers in training set
Top 1%
4.0%
9
Frontiers in Pediatrics
29 papers in training set
Top 0.1%
3.6%
10
European Respiratory Journal
54 papers in training set
Top 0.5%
3.6%
11
Medicine
30 papers in training set
Top 0.7%
2.6%
12
Medical Research Archives
11 papers in training set
Top 0.1%
2.1%
13
ERJ Open Research
44 papers in training set
Top 0.4%
2.1%
14
Human Molecular Genetics
130 papers in training set
Top 1%
2.1%
15
Archives of Clinical and Biomedical Research
28 papers in training set
Top 0.7%
1.7%
16
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 4%
1.7%
17
Frontiers in Pharmacology
100 papers in training set
Top 2%
1.5%
18
Cureus
67 papers in training set
Top 3%
1.3%
19
Frontiers in Molecular Biosciences
100 papers in training set
Top 2%
1.3%
20
Thorax
32 papers in training set
Top 0.5%
1.3%
21
Journal of Medical Microbiology
20 papers in training set
Top 0.4%
1.1%
22
Epidemiology and Infection
84 papers in training set
Top 2%
1.1%
23
Annals of Clinical and Translational Neurology
29 papers in training set
Top 0.9%
0.9%
24
BMC Medical Genomics
36 papers in training set
Top 1.0%
0.9%
25
Journal of Medical Virology
137 papers in training set
Top 3%
0.9%
26
The Innovation
12 papers in training set
Top 0.7%
0.9%
27
Clinical Immunology
21 papers in training set
Top 0.7%
0.7%
28
Annals of Translational Medicine
17 papers in training set
Top 2%
0.7%
29
JMIR Formative Research
32 papers in training set
Top 2%
0.5%
30
Virology Journal
25 papers in training set
Top 0.6%
0.5%