| Literature DB >> 34362335 |
Chunhai Li1, Dexiang Wang2, Fengxia Yang3, Yang Song4, Xuejuan Yu4, Bo Liu1, Haipeng Jia1, Wei Zhou5.
Abstract
BACKGROUND: We aim to analyze the risk factors for pneumothorax associated with computed tomography (CT)-guided percutaneous core needle biopsy (PCNB) of the lung. Whether the lung function characteristics are related to pneumothorax is unclear.Entities:
Mesh:
Year: 2021 PMID: 34362335 PMCID: PMC8344205 DOI: 10.1186/s12890-021-01625-0
Source DB: PubMed Journal: BMC Pulm Med ISSN: 1471-2466 Impact factor: 3.317
Fig. 1a CT-guided core needle biopsy of a solitary suspected lesion in the right lower lobe, in a 56-year-old male patient with 6 pack-years smoking. b Showed the biopsy needle (arrow) inserted within the lesion, which was later pathologically confirmed to be pulmonary adenocarcinoma. The patient was in lateral position on the CT table. The needle-pleural angle (curved white arrow), which was the minimum angle formed by a line tangent to the pleura at the puncture point and a line drawn along the needle, was 63°. The length of the needle track from the pleura to the lesion was 14.4 mm. The dwell time was 660 s. c CT image after the removal of the biopsy needle showed pneumothorax (arrowhead), which continued to increase until the chest drainage catheter was inserted
Comparison of groups with and without pneumothorax evaluated by univariate analysis
| Clinical characteristics | All patients studied | Pneumothorax | ||||
|---|---|---|---|---|---|---|
| * | Rangeδ | *Yes | *No | |||
| No. of cases analyzed | 343 | 50 (14.6%) | 293 (85.4%) | |||
| Demographic characteristic | ||||||
| Age (years) | 62 (53–68) | 18–82 | 61 (55–65) | 62 (53–68) | − 0.558 | 0.577 |
| Gender | 1.539 | 0.215 | ||||
| Male | 206 (60.1%) | 34 (9.9%) | 172 (50.1%) | |||
| Female | 137 (39.9%) | 16 (4.7%) | 121 (35.3%) | |||
| Pack-years smoking | 0 (0–30) | 0–200 | 6 (0–30) | 0 (0–30) | − 0.752 | 0.452 |
| Lesion characteristics | ||||||
| Location of lesion | 8.071 | |||||
| Upper | 200 (58.3%) | 20 (5.8%) | 180 (52.5%) | |||
| Lower | 143 (41.7%) | 30 (8.8%) | 113 (32.9%) | |||
| Lesion size (mm) | 2.442 | 0.118 | ||||
| < 20 | 108 (31.49%) | 11 (3.2%) | 97 (28.3%) | |||
| ≥ 20 | 235 (68.51%) | 39 (11.4%) | 196 (57.1%) | |||
| Adjacent pleura or chest wall invasion | 0.057 | 0.812 | ||||
| Yes | 211 (61.5%) | 30 (8.8%) | 181 (52.8%) | |||
| No | 132 (38.5%) | 20 (5.8%) | 112 (32.6%) | |||
| Presence of emphysema | 29.744 | |||||
| Yes | 39 (11.4%) | 17 (5.0%) | 22 (6.4%) | |||
| No | 304 (88.6%) | 33 (9.6%) | 271 (79.0%) | |||
| Technique characteristics | ||||||
| Patient position | 1.619 | 0.445 | ||||
| Supine | 104 (30.3%) | 13 (3.8%) | 91 (26.5%) | |||
| Prone | 192 (56.0%) | 32 (9.3%) | 160 (46.7%) | |||
| Lateral decubitus | 47 (13.7%) | 5 (1.5%) | 42 (12.2%) | |||
| Needle puncture site | 1.559 | 0.816 | ||||
| Anterior | 42 (12.2%) | 7 (2.0%) | 35 (10.2%) | |||
| Anterolateral | 54 (15.8%) | 6 (1.7%) | 48 (14.0%) | |||
| Lateral | 37 (10.8%) | 5 (1.5%) | 32 (9.3%) | |||
| Posterior | 165 (48.1%) | 27 (7.9%) | 138 (40.2%) | |||
| Posterolateral | 45 (13.1%) | 5 (1.5%) | 40 (11.7%) | |||
| Length of intrapulmonary needle tract (mm) | 11.6 (0.0–19.9) | 0–70.3 | 11.0 (0.0–21.8) | 11.6 (0.0–19.9) | − 0.405 | 0.685 |
| Dwell time (s) | 200 (169–283) | 70–1200 | 240 (174–360) | 200 (168–271) | − 1.992 | |
| Needle-pleural angle (°) | 65 (48–80) | 0–90 | 69 (52–85) | 63 (48–80) | − 1.078 | 0.281 |
| Needle redirections | 1.118 | 0.290 | ||||
| Yes | 31 (9.0%) | 7 (2.0%) | 24 (7.0%) | |||
| No | 312 (91.0%) | 43 (12.5%) | 269 (78.4%) | |||
| No. of pleural punctures | 1 (1–1) | 1–2 | 1 (1–1) | 1 (1–1) | − 0.492 | 0.622 |
| No. of cores | 2 (1–2) | 1–6 | 2 (2–3) | 2 (1–2) | − 1.014 | 0.311 |
| Diagnostic characteristics | 1.476 | 0.671 | ||||
| Malignant | 248 (72.3%) | 40 (11.7%) | 208 (60.6%) | |||
| Benign | 80 (23.3%) | 9 (2.6%) | 71 (20.7%) | |||
| Borderline | 2 (0.6%) | 0 | 2 (0.6%) | |||
| Non-diagnostic/inadequate | 13 (3.8%) | 1 (0.3%) | 12 (3.5%) | |||
Significant difference (P<0.05) are shown in bold
*Data are shown as number N (%) for categorical variables or median (lower quartile to upper quartile) for quantitative variables with non-normal distribution
δRange only for quantitative variables
†Chi-square test for categorical variables. Mann–Whitney U test for quantitative variables. All quantitative data showed non-normal distribution by Shapiro–Wilk test
Pathological types after CT guided lung puncture (343 cases)
| Diagnostic characteristics | N (%) |
|---|---|
| Malignant | 248 (72.3%) |
| Adenocarcinoma | 191 (55.7%) |
| Squamous cell carcinoma | 34 (9.9%) |
| Small cell carcinoma | 6 (1.7%) |
| Metastasis from other tumor sites | 6 (1.7%) |
| Neuroendocrine tumor | 4 (1.2%) |
| Malignant pleural mesothelioma | 3 (0.9%) |
| Undifferentiated carcinoma | 2 (0.6%) |
| Adenosquamous carcinoma | 1 (0.3%) |
| Lymphoepithelioid carcinoma | 1 (0.3%) |
| Benign | 80 (23.3%) |
| Chronic pneumonia | 71 (20.7%) |
| Alveolitis | 2 (0.6%) |
| Pulmonary hamartoma | 2 (0.6%) |
| Tuberculosis | 2 (0.6%) |
| Sclerosing pneumocytoma | 2 (0.6%) |
| Neurilemmoma | 1 (0.3%) |
| Borderline | 2 (0.6%) |
| Solitary fibrous tumor | 1 (0.3%) |
| Inflammatory myofibroblastic tumor | 1 (0.3%) |
| Non-diagnostic/inadequate | 13 (3.8%) |
Differences in pulmonary function between groups with and without pneumothorax evaluated by univariate analysis*
| Clinical characteristics | All patients studied | Pneumothorax | ||||
|---|---|---|---|---|---|---|
| Median | Lower quartile –upper quartile | Yes* | No* | |||
| No. of cases analyzed | 343 | 50 (14.6%) | 293 (85.4%) | |||
| Pulmonary function characteristics | ||||||
| FVC (% pred) | 103.3 | 92.0–115.5 | 105.0 (93.3–114.8) | 103.0 (91.6–115.7) | − 0.363 | 0.716 |
| FEV1 (L) | 2.4 | 2.0–2.9 | 2.4 (1.9–2.7) | 2.4 (2.0–3.0) | − 0.700 | 0.484 |
| FEV1 (% pred) | 98.0 | 81.7–109.9 | 94.8 (79.4–106.8) | 98.4 (82.0–110.1) | − 1.101 | 0.271 |
| FEV1/FVC ratio (%) | 76.0 | 69.1–81.2 | 72.5 (67.1–78.4) | 76.6 (69.8–81.5) | − | |
| FEF25% (% pred) | 88.4 | 64.0–106.1 | 73.5 (56.5–102.5) | 89.5 (66.6–106.5) | − 1.950 | 0.051 |
| FEF50% (% pred) | 72.8 | 48.9–94.6 | 58.5 (39.8–84.5) | 77.5 (51.7–95.9) | − | |
| FEF75% (% pred) | 66.4 | 44.7–89.9 | 55.7 (42.1–79.4) | 70.5 (45.4–91.1) | − | |
| FEF25–75% (% pred) | 58.0 | 37.4–78.6 | 44.3 (30.0–66.3) | 59.6 (39.4–79.8) | − | |
| PEF (% pred) | 104.4 | 84.4–119.6 | 101.5 (83.2–114.7) | 104.5 (85.0–121.0) | − 1.253 | 0.210 |
| MVV (% pred) | 95.7 | 83.3–111.9 | 96.4 (83.6–109.2) | 95.5 (83.2–112.7) | − 0.382 | 0.703 |
Significant difference (P<0.05) are shown in bold
*Data are shown as median (lower quartile to upper quartile)
†Mann–Whitney U test. All the quantitative data showed non-normal distribution by Shapiro–Wilk test
Relationship between incidence of pneumothorax and different types of pulmonary function abnormalities
| Pneumothorax | ||||
|---|---|---|---|---|
| Yes* | No* | |||
| Normal ventilation function | 18 (10.7%) | 150 (89.3%) | ||
| Small airway dysfunctionsδ | 10 (14.5%) | 59 (85.5%) | 0.670 | 0.413 |
| Types of function abnormalitiesδ | ||||
| Obstructive function abnormalities | 18 (24.7%) | 55 (75.3%) | ||
| Restrictive function abnormalities | 1 (9.1%) | 10 (90.9%) | 0 | 1.000 |
| Mixed function abnormalities | 3 (13.6%) | 19 (86.4%) | 0.002 | 0.961 |
Significant difference (P<0.05) are shown in bold
% pred percent predicted
*Data are presented as number
δEach group compared with normal ventilation function group
Multivariable logistic regression model for predictors of pneumothorax in all patients studied
| Multivariable Predictors* | All patients (PTX = 50, without PTX = 293) | |||
|---|---|---|---|---|
| VIF | Odds Ratio | 95% CI | ||
| Location of lesion | 1.026 | 2.150 | 1.124–4.113 | |
| Presence of emphysema | 1.151 | 5.217 | 2.286–11.901 | |
| Dwell time (s) | 1.021 | 1.001 | 0.999–1.003 | 0.217 |
| FEV1/FVC ratio (%) | 2.133 | 0.995 | 0.938–1.056 | 0.865 |
| FEF50% | 2.574 | 0.984 | 0.995–1.015 | 0.307 |
| FEF75% | 2.168 | 1.012 | 0.987–1.037 | 0.349 |
| FEF25–75% | 1.875 | 1.000 | 0.965–1.036 | 0.994 |
Significant difference (P<0.05) are shown in bold
VIF variance inflation factor
*Logistic regression model only included significant covariates from univariate analysis