Extra-pleuric coaxial system for CT-guided percutaneous fine-needle aspiration biopsy (FNAB) of small (≤20 mm) lung nodules: a novel technique using multiplanar reconstruction (MPR) images

Comparison between computed tomography-guided core and fine needle lung biopsy: A meta-analysis

BACKGROUND

This meta-analysis was conducted to compare the safety and diagnostic performance between computed tomography (CT)-guided core needle biopsy (CNB) and fine-needle aspiration biopsy (FNAB) in lung nodules/masses patients.

METHODS

All relevant studies in the Pubmed, Embase, and Cochrane Library databases that were published as of June 2020 were identified. RevMan version 5.3 was used for all data analyses.

RESULTS

In total, 9 relevant studies were included in the present meta-analysis. These studies were all retrospective and analyzed outcomes associated with 2175 procedures, including both CT-guided CNB (n = 819) and FNAB (n = 1356) procedures. CNB was associated with significantly higher sample adequacy rates than was FNAB (95.7% vs 85.8%, OR: 0.26; P < .00001), while diagnostic accuracy rates did not differ between these groups (90.1% vs 87.6%, OR: 0.8; P = .46). In addition, no differences in rates of pneumothorax (28.6% vs 23.0%, OR: 1.15; P = .71), hemorrhage (17.3% vs 20.1%, OR: 0.91; P = .62), and chest tube insertion (5.9% vs 4.9%, OR: 1.01; P = .97) were detected between these groups. Significant heterogeneity among included studies was detected for the diagnostic accuracy (I2 = 57%) and pneumothorax (I2 = 77%) endpoints. There were no significant differences between CNB and FNAB with respect to diagnostic accuracy rates for lung nodules (P = .90). In addition, we detected no evidence of significant publication bias.

CONCLUSIONS

CT-guided CNB could achieve better sample adequacy than FNAB did during the lung biopsy procedure. However, the CNB did not show any superiorities in items of diagnostic accuracy and safety.

Computed Tomography-Guided Biopsy for Small (≤20 mm) Lung Nodules: A Meta-Analysis

PURPOSE

This study was designed to evaluate the diagnostic accuracy of computed tomography (CT)-guided biopsy for small lung nodules (SLNs) (≤20 mm) and to assess related complication rates.

METHODS

We reviewed the Pubmed, Embase, and Cochrane Library databases to identify all relevant studies published as of April 2020. Random effects modeling were then used to evaluate pooled data pertaining to technical success rates, diagnostic accuracy, pneumothorax rates, and rates of hemoptysis. The meta-analysis was conducted using Stata v12.0.

RESULTS

In total, we identified 25 relevant studies for incorporation into this meta-analysis, incorporating 2922 total CT-guided lung biopsy. Pooled technical success rates, diagnostic accuracy, pneumothorax rates, and hemoptysis rates were 94% (95% confidential interval [CI], 0.91-0.98), 90% (95% CI, 0.88-0.93), 19% (95% CI:, 0.15-0.24), and 12% (95% CI, 0.08-0.15), respectively. We observed significant heterogeneity among these studies for all 4 of these parameters (I = 90.0%, 82.7%, 88.6%, and 88.4%, respectively). When we conducted a meta-regression analysis, we did not identify any variables that influenced diagnostic accuracy or technical success, pneumothorax, or hemoptysis rates. Publication bias risk analyses suggested that there was relatively little risk of publication bias pertaining to pneumothorax rates (P = 0.400) or hemoptysis rates (P = 0.377). In contrast, we detected a high risk of publication bias pertaining to reported technical success rates (P = 0.007) and diagnostic accuracy (P = 0.000).

CONCLUSIONS

A CT-guided biopsy can be safely and effectively used to diagnose SLNs.

Computed Tomography Fluoroscopy-Guided Versus Conventional Computed Tomography-Guided Lung Biopsy: A Systematic Review and Meta-analysis

PURPOSE

This study aimed to compare the feasibility, safety, diagnostic accuracy, and radiation dose between computed tomography (CT) fluoroscopy (CTF)-guided and conventional CT (CCT)-guided lung biopsy.

METHODS

Relevant articles up until February 2020 were identified within the PubMed, Embase, and Cochrane Library databases. Diagnostic accuracy rate, pneumothorax, and pneumothorax requiring chest tube served as primary end points, with technical success, hemoptysis, operative time, and radiation dose serving as secondary end points. Pooled odds ratios (ORs) were calculated for the dichotomous variables. Pooled estimates of the mean difference (MD) were measured for the continuous variables.

RESULTS

This meta-analysis included 9 studies. Seven studies were retrospective, and 2 studies were randomized controlled trials. A total of 6998 patients underwent either CTF-guided (n = 3858) or CCT-guided (n = 3154) lung biopsy. The diagnostic accuracy rate was significantly higher in the CTF group compared with the CCT group (OR, 0.32; P < 0.00001). No significant differences were detected between the CTF and CCT groups in terms of incidence rates of pneumothorax (OR, 0.95; P = 0.84), rates of pneumothorax requiring chest tube insertion (OR, 0.95; P = 0.84), technical success rates (OR, 0.41; P = 0.15), incidence rates of hemoptysis (OR, 1.19; P = 0.61), operative time (MD, -4.38; P = 0.24), and radiation dose (MD, 158.60; P = 0.42). A publication bias was found for the end points of pneumothorax requiring chest tube insertion and operative time.

CONCLUSIONS

Compared with CCT-guided lung biopsy, CTF-guided lung biopsy could yield a higher diagnostic accuracy with similar safety and radiation exposure.

Computed tomography-guided biopsy of small lung nodules: diagnostic accuracy and analysis for true negatives

Objective

We evaluated the diagnostic accuracy of computed tomography (CT)-guided transthoracic core needle biopsy (TCNB) for small (≤20-mm) lung nodules and identified predictive factors for true negatives among benign biopsy results.

Methods

From March 2010 to June 2015, 222 patients with small lung nodules underwent CT-guided TCNB. We retrospectively analysed data regarding technical success, diagnostic accuracy, and predictors of true negatives.

Results

The technical success rate was 100%. The TCNB results of the 222 lung nodules included malignancy (n = 136), suspected malignancy (n = 8), specific benign lesion (n = 17), and nonspecific benign lesion (n = 61). The final diagnosis of 222 lung nodules included malignant (n = 160), benign (n = 60), and nondiagnostic lesions (n = 2). The sensitivity, specificity, and overall diagnostic accuracy of CT-guided TCNB for small lung nodules were 90.0%, 100%, and 92.7%, respectively. Pneumothorax and haemoptysis occurred in 23 and 41 patients, respectively. Based on the Cox regression analysis, the significant independent predictive factor for true negatives was a biopsy result of chronic inflammation with fibroplasia.

Conclusions

CT-guided TCNB offers high diagnostic accuracy for small lung nodules, and a biopsy result of chronic inflammation with fibroplasia can predict a true-negative result.

Transthoracic computed tomography-guided lung biopsy in the new era of personalized medicine

Computed tomography-guided lung biopsy is a valid and safe procedure for characterizing pulmonary nodules. In the past years, this technique has been mainly used to confirm the malignant nature of undetermined pulmonary lesions; however, today its role has been completely renewed. With the advent of target therapy and immunotherapy, it has arisen for lung cancer, in inoperable patients, the necessity to obtain adequate bioptical material to perform a correct molecular characterization of the lesion. Moreover, the possibility of acquired drug-resistance mechanisms makes it necessary in some cases to rebiopsy these lesions over time. For these reasons, it is likely that the request of computed tomography-guided lung biopsy will increase in the future, therefore every radiologist should be confident with its most important aspects.

Looking for Lepidic Component inside Invasive Adenocarcinomas Appearing as CT Solid Solitary Pulmonary Nodules (SPNs): CT Morpho-Densitometric Features and 18-FDG PET Findings

Objective

To investigate CT morphologic and densitometric features and 18-FDG PET findings of surgically excised lung adenocarcinomas "mixed subtype" with predominant lepidic component, appearing as solid solitary pulmonary nodules (SPNs) on CT scan.

Materials and Methods

Approval for this study was given from each local institutional review board according to its retrospective nature. Nodules pathologically classified as lung adenocarcinoma mixed subtype with bronchioloalveolar otherwise lepidic predominant component, in three different Italian institutions (Napoli; Varese; Parma), were retrospectively selected.

Results

22 patients were identified. The number of SPNs with smooth margins was significantly lower with respect to the number of SPNs with spiculated margins (p: 0.033), radiating spiculations (p: 0.019), and notch sign (p: 0.011). Mean contrast enhancement (CE) was 53.34 HU (min 5.5 HU, max 112 HU); considering 15 HU as cut-off value, CE was positive in 20/22 cases. No significant correlation was found between size and CE. Mean SUVmax was 2.21, ranging from 0.2 up to 7.5 units; considering 2.5 units as cut-off, SUVmax was positive in 7/22 cases. The number of SPNs with positive CE was significantly higher than the number of SPNs with positive SUVmax (p: 0.0005).

Conclusion

CT generally helps in identifying solid SPN suspicious for malignancy but 18-FDG PET may result in false-negative evaluation; when 18-FDG PET findings of a solid SPN are negative even though CT morphology and CE suggest malignancy, radiologist should consider that lepidic component may be present inside the invasive tumor, despite the absence of ground glass.

Logistic regression analysis and a risk prediction model of pneumothorax after CT-guided needle biopsy

Background

Pneumothorax is the most common complication of computed tomography (CT)-guided needle biopsy. The purpose of this study was to investigate independent risk factors of pneumothorax, other than emphysema, after CT-guided needle biopsy and to establish a risk prediction model.

Methods

A total of 864 cases of CT-guided needle biopsy with an 18-gauge cutting needle were enrolled in this study. The relevant risk factors associated with pneumothorax included age, sex, emphysema, short-axis size of the lesion, depth of the lesion, body position, and the number of pleural punctures. Several independent risk factors of pneumothorax were found, and a predictive model for pneumothorax was established using univariate and multivariate logistic regression analyses.

Results

Pneumothorax occurred in 31.4% (271/864) of cases. Univariate analysis showed that significant risk factors of pneumothorax included age, emphysema, small lesion size, no contact between the lesion and the pleura, prone or lateral body position, and multiple punctures. Independent risk factors of pneumothorax in the multivariate logistic regression analysis included emphysema (P=0.000), no contact between the lesion and the pleura (P=0.000), prone or lateral body position (P=0.002), and the number of pleural punctures (P=0.000). The sensitivity, specificity, and accuracy of the predictive model for pneumothorax were 56.8%, 79.6%, and 72.5%, respectively.

Conclusions

Pneumothorax is a common complication of CT-guided lung biopsy. Independent risk factors of pneumothorax include emphysema, no contact between the lesion and the pleura, and prone or lateral body position. The predictive model developed in this study was highly accurate in predicting the incidence of pneumothorax.