What Findings on Chest CTs Can Delay Diagnosis of Pleuropulmonary Paragonimiasis?
Abstract
1. Introduction
2. Materials and Methods
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Type of Questionnaire | Response Rates | Responses (n, %) |
---|---|---|
History of eating | 98.1% (101/103) | yes (n = 14, 13.9), no (n = 8, 7.9), unknown (n = 79, 78.2) |
Leukocytosis * | 99.0% (102/103) | yes (n = 25, 24.5), no (n = 77, 75.5) |
Eosinophilia ** | 94.2% (97/103) | yes (n = 84, 86.6), no (n = 13, 13.4) |
Symptoms * | 100% (103/103) | blood-tinged sputum (n = 23, 23.3), hemoptysis (n = 18, 17.5), dyspnea (n = 23, 23.3), chest pain (n = 25, 24.3), cough (n = 15, 14.6), fever (n = 3, 2.9), sputum (n = 3, 2.9), abdominal pain (n = 2, 1.9), hemiparesis (n = 2, 1.9), no symptoms (n = 11, 10.7) |
Diagnostic Tools | Rates of Compliance (%) | Positivity Rates (%) |
---|---|---|
Sputum examination (n = 39) | 38.2 | 15.4 |
ELISA (n = 97) | 95.1 | 99.0 |
Bronchoscopy & BAL* (n = 40) | 39.2 | 5.0 |
Tissue biopsy (n = 44) | 43.1 | 43.2 |
Parenchymal Findings | n (%) | Initial CT Diagnosis | p Value * | |
---|---|---|---|---|
Correct (%) | Incorrect (%) | |||
Locations (n = 94) | ||||
upper lobes | 54 (57.4) | 26/54 (48.1) | 28/54(51.9) | 0.481 |
lower lobes | 33 (35.1) | 15/33 (45.5) | 18/33 (54.5) | 0.454 |
right middle lobes | 7 (7.5) | 4/7 (57.1) | 3/7 (42.9) | 0.571 |
peripheral | 73 (77.7) | 36/73 (49.3) | 37/73 (50.7) | 0.493 |
central | 13 (13.8) | 7/13 (53.8) | 6/13 (46.2) | 0.538 |
both | 8 (8.5) | 2/8 (25) | 6/8 (75) | 0.250 |
findings (n = 94) | ||||
nodules | 53 (56.4) | 31/53 (58.5) | 22/53 (41.5) | 0.585 |
non-cavitary | 31 (33.0) | 16/31 (51.6) | 15/31 (48.9) | 0.516 |
cavitary | 22 (23.4) | 15/22 (68.2) | 7/22 (31.8) | 0.682 |
air-space consolidation | 25 (26.6) | 7/25 (28) | 18/25 (72) | 0.280 |
mass | 8 (8.5) | 2/8 (25) | 6/8 (75) | 0.250 |
linear density | 5 (5.3) | 3/5 (60) | 2/5 (40) | 0.600 |
others | 3 (3.2) | |||
migrating worm track (n = 94) | ||||
presence | 17 (18.1) | 12/17 (70.6) | 5/17 (29.4) | 0.706 |
Pleural Findings (n = 102) | Numbers (%) | Initial CT Diagnosis | p Value | |
---|---|---|---|---|
Correct | Incorrect | |||
absence | 43 (42.2) | 17/43 (39.5) | 26/43 (60.5) | 0.395 |
presence | 59 (57.8) | 29/59 (49.2) | 30/59 (50.8) | 0.492 |
pleural effusion | 40 (67.8) | 16/40 (40) | 24/40 (60) | 0.400 |
diffuse pleural thickening | 21 (35.6) | 7/21 (33.3) | 14/21 (66.7) | 0.333 |
hydropneumothorax | 9 (15.3) | 6/9 (66.7) | 3/9 (33.3) | 0.667 |
focal pleural thickening | 8 (13.6) | 4/8 (50) | 4/8 (50) | 0.500 |
pneumothorax | 4 (6.8) | 2/4 (50) | 2/4 (50) | 0.500 |
Initial Diagnosis | Numbers |
---|---|
pleuropulmonary paragonimiasis | 46 (44.7) |
pneumonia | 18 (17.5) |
tuberculosis | 14 (13.6) |
lung cancer | 7 (6.8) |
pleural effusion | 7 (6.8) |
solitary pulmonary nodule | 4 (3.9) |
lung abscess | 4 (3.9) |
eosinophilic pneumonia | 3 (2.9) |
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Li, K.K.; Jin, G.Y.; Kwon, K.S. What Findings on Chest CTs Can Delay Diagnosis of Pleuropulmonary Paragonimiasis? Tomography 2022, 8, 1493-1502. https://doi.org/10.3390/tomography8030122
Li KK, Jin GY, Kwon KS. What Findings on Chest CTs Can Delay Diagnosis of Pleuropulmonary Paragonimiasis? Tomography. 2022; 8(3):1493-1502. https://doi.org/10.3390/tomography8030122
Chicago/Turabian StyleLi, Kai Ke, Gong Yong Jin, and Keun Sang Kwon. 2022. "What Findings on Chest CTs Can Delay Diagnosis of Pleuropulmonary Paragonimiasis?" Tomography 8, no. 3: 1493-1502. https://doi.org/10.3390/tomography8030122
APA StyleLi, K. K., Jin, G. Y., & Kwon, K. S. (2022). What Findings on Chest CTs Can Delay Diagnosis of Pleuropulmonary Paragonimiasis? Tomography, 8(3), 1493-1502. https://doi.org/10.3390/tomography8030122