Efficacy and safety of cone-beam computed tomography-guided bronchoscopy for peripheral pulmonary lesions: a systematic review and meta-analysis
Highlight box
Key findings
• Cone-beam computed tomography (CBCT) guided bronchoscopy for peripheral pulmonary lesions (PPLs) is a safe technique with high diagnostic yield (DY), especially used with robotic-assisted navigation bronchoscopy (RAB). Lesion size >20 mm, presence of bronchus sign, and solid lesions may serve as predictors for higher DY in CBCT-guided bronchoscopy.
What is known and what is new?
• The DY of CBCT-guided bronchoscopy for PPLs was ranging from 45% to 93%. Previous study reported that DY of lesions >20 mm was higher than that of lesions ≤20 mm, and the DY of lesions with bronchus sign was higher than that of lesions without bronchus sign in guided bronchoscopy.
• Our meta-analysis showed that the overall pooled DY of CBCT-guided bronchoscopy was 80.2% [95% confidence internal (CI): 76.0–84.1%]. Subgroup analysis showed that the DY was highest when CBCT was used with RAB (pooled DY 87.5%; 95% CI: 81.5–92.4%). Lesion size >20 mm, presence of bronchus sign and solid lesions were associated with significant increase in the odds of diagnosis with CBCT-guided bronchoscopy. Pooled adverse event rate was 2.3% (95% CI: 1.2–3.6%).
What is the implication, and what should change now?
• CBCT-guided bronchoscopy is effective and safe in the diagnosis of PPLs. Lesion size >20 mm, presence of bronchus sign, and solid lesions may serve as predictors for higher DY in CBCT-guided bronchoscopy. However, more clinical studies are needed in the future to confirm or correct our results.
Introduction
The detection rate of pulmonary lesions has risen significantly due to the ubiquitous utilization of low-dose computed tomography (CT) for lung cancer screening in recent years. The overall five-year survival rate for lung cancer is approximately 20% after being diagnosed (1,2). Early detection and diagnosis of malignant pulmonary lesions is crucial (3). The sensitivity of conventional transbronchial biopsy or transbronchial needle aspiration (TBNA) is 14–63% in diagnosing malignant lesions (4). CT-guided transthoracic biopsy or needle aspiration possesses high diagnostic yield (DY) (88–93%) but high adverse events rate (pneumothorax 16.8–25.9%) (5). Guided bronchoscopy has been increasingly used for the diagnosis of peripheral pulmonary lesions (PPLs) over the past decade. A meta-analysis showed that the DY for virtual bronchoscopy (VB) and electromagnetic navigation bronchoscopy (ENB) was 69.4% and 70.3%, respectively (6). Recently, cone-beam computed tomography (CBCT) have been utilized in the navigation of PPLs. CBCT provides comprehensive three-dimensional intra-procedural imaging and can be employed to affirm tool-in-lesion before biopsy, potentially influencing all stages of diagnostic bronchoscopy: navigation, verification and tissue obtaining (7).
The DY of CBCT-guided bronchoscopy was ranging from 45% to 93% (8-30). Nadig et al. reported that DY of lesions >20 mm [78.7%, 95% confidence interval (CI): 76.2–81.3%] was higher than that of lesions ≤20 mm (58.7%, 95% CI: 55.1–62.3%), and the DY of lesions with bronchus sign (78.6%, 95% CI: 75.2–82.0%) was higher than that of lesions without bronchus sign (51.2%, 95% CI: 45.0–57.4%) in guided bronchoscopy (31). Whether lesions >20 mm and bronchus sign can be used as predictors of successful CBCT-guided bronchoscopy was still not known. Therefore, we conducted a meta-analysis to assess the efficacy and safety of CBCT-guided bronchoscopy for PPL and tried to identify factors that predict higher DY of CBCT-guided bronchoscopy. We present this article in accordance with the PRISMA-DTA reporting checklist (available at https://jtd.amegroups.com/article/view/10.21037/jtd-24-1224/rc).
Methods
Search strategy
We searched PubMed, Embase, Web of Science, Cochrane Library, China National Knowledge Infrastructure (CNKI), Wanfang Data, Chongqing VIP Information (VIP), and China Biology Medicine disc (CBM) databases to identify relevant articles (last search updated in April 2024). The following terms were used in searching: (pulmonary lesions or pulmonary nodules or pulmonary neoplasms or lung lesions or lung carcinoma) and (bronchoscopy or bronchoscopes) and (C-arm cone-beam CT or cone-beam computed tomography or CBCT) and (diagnosis or diagnose or diagnostic). The search was not limited in terms of publication date or language. The references of the retrieved articles and reviews were manually examined in order to discover additional relevant publications.
Inclusion and exclusion criteria
We included studies which assessed diagnostic accuracy or DY of CBCT-guided bronchoscopy in patients with PPLs. If any of the following circumstances were present, studies would be excluded: abstracts or reviews; meta or editorial materials; case reports or studies with participants less than 10; animal studies; not relevant to bronchoscopy or CBCT or included central pulmonary lesions. We also excluded studies aimed at marking PPLs to assist in surgery. For overlapping studies, only studies with larger sample size or more complete data were involved.
Data extraction
Two researchers extracted the data and checked the accuracy of all data at a second review independently. Disagreements were discussed by both researchers and a consensus was reached on all the data. The following information was collected for each included study: type of study design, additional use of navigation, use of radial endobronchial ultrasound (rEBUS, which is not strict navigation techniques) (32), fixed or mobile CBCT, sampling methods, use of rapid onsite cytologic examination (ROSE), CT spin before biopsy to affirm tool-in-lesion, number of patients and lesions, lesion size, bronchus sign, location, lesion density, DY, and adverse events.
Quality assessment
Two investigators evaluated the quality of included literatures independently by means of the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool (33). Disagreements were resolved by discussion with a third researcher. We assessed 7 items in total, including 4 risks of bias (patient selection, index test, reference standard, flow and timing), as well as 3 applicability concerns (patient selection, index test, reference standard). Each item is classified as “low risk”, “high risk” or “unclear risk”.
Outcomes
DY was the primary outcome parameter. There were three commonly used definitions of DY in articles. All the three definitions consider that a bronchoscopic procedure being positive for malignancy is a true positive (TP). (I) Strict: only the procedures that have a specific benign (SPB) diagnosis (e.g., infection, granuloma) at the index are regarded as true negative (TN). DY is (TP + SPB) divided by the total number of procedures; (II) intermediate: nonspecific benign (NSB) outcomes (e.g., inflammation) are classified as TNs if confirmed to be benign in follow-up, which is termed NSBTN. DY is (TP + SPB + NSBTN) divided by the total number of procedures; (III) liberal: DY calculation allows for the addition of follow-up data for all cases which are negative for malignancy at index bronchoscopy (6,34).
Statistical analysis
The pooled DY and adverse event rate were estimated with 95% CI. The heterogeneity among studies was evaluated by Cochran’s Q test and the inconsistency index (I2). P<0.1 and I2>50% indicates substantial heterogeneity in studies (35). We used random effects model to estimate pooled data when heterogeneity existed. Subgroup analyses were conducted according to additional use of navigation or rEBUS, fixed or mobile CBCT, use of ROSE, CT spin before biopsy to affirm tool-in-lesion, strictness of the definition of DY, and study design. Further analysis was performed to explore the association between odds of diagnosis with CBCT guided bronchoscopy and PPLs characteristics (>20 vs. ≤20 mm, non-upper lobe vs. upper lobe, with bronchus sign vs. without bronchus sign, and solid vs. non-solid) as well as sampling methods [forceps vs. fine needle aspiration (FNA), forceps vs. cryoprobe sampling]. The pooled odds ratio (OR) and 95% CI were calculated. The significance level was set at 0.05. All analyses were performed by using meta package in R version 4.3.2.
Results
Literature search
There were 684 records retrieved initially, and 448 related studies remained after deduplications removed. After screening step by step, 23 studies were finally included (8-30). Figure 1 presents the selection process.

Study characteristics
There were 1,769 patients with 1,863 PPLs from 23 studies included in the study. Ten studies (43.5%) were prospective and 13 studies (56.5%) were retrospective. Ten studies (43.5%) used CBCT as the sole navigation technology, 5 studies (21.7%) used CBCT and ENB, 4 studies (17.4%) used CBCT and VB, 3 studies (13.0%) used CBCT and robotic-assisted navigation bronchoscopy (RAB), and 1 study (4.3%) used CBCT and novel endobronchial augmented fluoroscopic navigation system (NEAFNS). Nineteen studies (82.6%) used fixed CBCT, and four studies (17.4%) used mobile CBCT. rEBUS was used in 13 studies (56.5%). Nine studies (39.1%) used strict definition of DY, 7 studies (30.4%) used intermediate definition, 5 studies (21.7%) used liberal definition, and 2 studies (8.7%) did not report the definition of DY. Except for one study that did not mention lesion size, the average/median lesion size in all other studies was less than 3 centimeters. Nine studies compared DY between lesions ≤20 and >20 mm. Six studies compared DY between upper and non-upper lobe lesions. Five studies compared DY between lesions with and without bronchus sign. Five studies compared DY between solid lesions and non-solid lesions. Four studies compared DY between forceps and FNA. Four studies compared DY between forceps and cryoprobe sampling. ROSE was utilized in thirteen studies (56.5%). Nine studies (39.1%) did not mention whether ROSE was used. In one study, 54.4% of patients underwent ROSE evaluation. Thirteen studies (56.5%) performed CT spin before biopsy to affirm tool-in-lesion. In four studies (17.4%), only a subset of patients underwent CT spin before biopsy. Six studies (26.1%) did not mention whether CT spin was performed before biopsy to affirm tool-in-lesion. Detailed characteristics of individual study are showed in Table 1.
Table 1
Study (first author, year) | Design | Total patients (No.) | Navigation | Use of rEBUS | Sampling methods | CT spin before biopsy† | Use of ROSE | Number of lesions | Lesion size (mm) | Bronchus sign (%) | Upper lobe (%) | Solid lesion (%) | Adverse events (No.) |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Ali, 2019 (8) | Pro | 40 | CBCT + VB | No | Forceps | Yes | NR | 40 | 20; 9–30 (median; range) |
100.0 | 50.0 | 70.0 | 1 |
Benn, 2021 (9) | Pro | 52 | CBCT + RAB | No | Forceps (76%), TBNA | Yes | NR | 59 | 21.9±11.6 (mean ± SD) |
45.8 | 66.1 | 69.5 | 2 |
Bhadra, 2024a (10) | Retro | 200 | CBCT | Yes | Forceps, FNA, Cryo | Yes | Yes | 222 | 17.3 (median) | 71.2 | 62.2 | NR | 4 |
Bhadra, 2024b (11) | Retro | 100 | CBCT | Yes | NR | Yes | Yes | 106 | 23.5±13.6 (mean ± SD) |
67.9 | NR | NR | 2 |
Bowling, 2017 (12) | Retro | 14 | CBCT + ENB | No | Forceps, FNA | Yes (50%) | Yes | 14 | 23.5 (mean) | 0 | 57.1 | 85.7 | 1 |
Casal, 2018 (13) | Pro | 20 | CBCT | Yes | Forceps (65%), TBNA (85%) | Yes | Yes | 20 | 21; 11–30 (median; range) |
60.0 | 60.0 | 65.0 | 1 |
Emre, 2016 (14) | Pro | 60 | CBCT | No | NR | NR | NR | 60 | NR | NR | 68.3 | NR | 0 |
Kawakita, 2021 (15) | Retro | 79 | CBCT + VB | No | Forceps | Yes | NR | 79 | 21.0; 17.0–24.0 (median; IQR) | 100.0 | 49.4 | 69.6 | 2 |
Kawakita, 2023 (16) | Pro | 20 | CBCT + VB | Yes | Forceps | Yes | NR | 20 | 24.8; 10.0–46.0 (mean; range) |
100.0 | 50.0 | 80.0 | 1 |
Kheir, 2021 (17) | Retro | 31 | CBCT + ENB | Yes | Forceps, FNA | Yes | NR | 31 | 16.0; 12.6–25.5 (median; IQR) | 45.2 | 67.7 | 61.3 | 2 |
Lin, 2022 (18) | Retro | 115 | CBCT | Yes | Forceps | Yes (partially) | Yes | 115 | 24.0; 6.0–62.0 (mean; range) |
82.6 | 55.7 | 76.5 | 9 |
Lin, 2024 (19) | Retro | 198 | CBCT | Yes | Forceps, Cryo | Yes (48%) | Yes | 198 | 24.7; 8.3–65.3 (mean; range) |
72.2 | 55.6 | 88.9 | 14 |
Liu, 2022 (20) | Pro | 31 | CBCT | Yes | Forceps | Yes | NR | 31 | 24.8±13.9 (mean ± SD) |
NR | NR | 80.6 | 0 |
Meng, 2023 (21) | Retro | 50 | CBCT + RAB | No | Forceps, FNA, Cryo | Yes | Yes | 52 | 21.0; 14.4–29.6 (median; IQR) | 42.3 | 65.4 | 63.5 | 3 |
Pritchett, 2018 (22) | Retro | 75 | CBCT + ENB | No | Forceps, FNA | NR | Yes | 92 | 16.0; 7.0–55.0 (median; range) |
38.7 | 71.0 | NR | 3 |
Pritchett, 2021 (23) | Pro | 53 | CBCT + NEAFNS | No | Forceps, FNA | NR | Yes | 57 | 18.0; 7.0–48.0 (median; range) |
50.0 | 73.7 | NR | 0 |
Pritchett, 2024 (24) | Pro | 52 | CBCT | No | Forceps (60%), FNA (51%) | Yes (partially) | Yes | 58 | 19.0; 7.0–48.0 (median; range) |
42.4 | 57.6 | NR | 0 |
Reisenauer, 2022 (25) | Pro | 30 | CBCT + RAB | No | NR | Yes | Yes | 30 | 17.5±6.8 (median ± SD) |
40.0 | 60.0 | 76.7 | 0 |
Reisenauer, 2022 (25) | Pro | 30 | CBCT + RAB | No | NR | Yes | Yes | 30 | 17.5±6.8 (median ± SD) |
40.0 | 60.0 | 76.7 | 0 |
Salahuddin, 2023 (26) | Retro | 51 | CBCT | Yes | Forceps (57%), TBNA (94%) | NR | Yes | 51 | 26.0±13.0 (mean ± SD) |
76.5 | 74.5 | 72.5 | 1 |
Sobieszczyk, 2018 (27) | Retro | 22 | CBCT + ENB | Yes | Forceps, FNA | NR | NR | 22 | 21.0±9.8 (mean ± SD) |
NR | 68.2 | NR | 0 |
Verhoeven, 2021 (28) | Pro | 195 | CBCT + ENB | Yes | Forceps (89%), TBNA (73%), Cryo (40%) | NR | Yes | 225 | 15; 5–65 (median; range) |
64.4 | 61.8 | 77.8 | NR |
Yu, 2021 (29) | Retro | 53 | CBCT | Yes | Forceps | Yes | NR | 53 | 28; 10–69 (median; range) |
75.5 | 54.7 | 86.8 | 2 |
Zhang, 2024 (30) | Retro | 228 | CBCT + VB | Yes | NR | Yes | Yes (54.4%) | 228 | 21.0; 15.5–29.0 (median; range) | 87.7 | 49.1 | 61.4 | 4 |
†, CT spin performed to affirm tool-in-lesion before biopsy. CBCT, cone beam computed tomography; Cryo, cryoprobe sampling; CT, computed tomography; ENB, electromagnetic navigation bronchoscopy; FNA, fine needle aspiration; IQR, interquartile range; NEAFNS, novel endobronchial augmented fluoroscopic navigation system; NR, not reported; Pro, prospective; RAB, robotic-assisted navigation bronchoscopy; rEBUS, radial endobronchial ultrasound; Retro, retrospective; ROSE, rapid onsite cytologic examination; SD, standard deviation; TBNA, transbronchial needle aspiration; VB, virtual bronchoscopy.
Quality assessment
We used QUADAS-2 tool to assess the risk of bias. Most studies had a high or indistinct risk of bias in the patient selection, index test, and reference standard domains. The majority (78.3%) exhibited a high risk of bias or applicability concerns in at least one domain. None of the studies possessed a low risk of bias in all domains. The failure to use an appropriate reference standard and different definitions of “navigational success” may have contributed to these results. Table 2 presents QUADAS-2 assessment for each study.
Table 2
Study (first author, year) | Risk of bias | Applicability concerns | ||||||
---|---|---|---|---|---|---|---|---|
Patient selection | Index test | Reference standard | Flow and timing | Patient selection | Index test | Reference standard | ||
Ali, 2019 (8) | High | Low | Low | High | High | Low | Low | |
Benn, 2021 (9) | Low | Low | Low | High | Low | Low | Low | |
Bhadra, 2024a (10) | Low | Unclear | Low | High | Low | Low | Unclear | |
Bhadra, 2024b (11) | High | Low | Low | Low | High | Low | Low | |
Bowling, 2017 (12) | High | Low | Low | High | Low | Low | Low | |
Casal, 2018 (13) | Unclear | Low | Unclear | High | Low | Low | Low | |
Emre, 2016 (14) | Low | Unclear | Unclear | High | Low | Low | Low | |
Kawakita, 2021 (15) | High | Low | Low | Low | High | Low | Low | |
Kawakita, 2023 (16) | High | Low | Low | Low | High | Low | Low | |
Kheir, 2021 (17) | High | Unclear | Low | Low | Low | Unclear | Unclear | |
Lin, 2022 (18) | High | Low | Low | High | Low | Low | Low | |
Lin, 2024 (19) | Unclear | Unclear | Low | Low | Low | Low | Low | |
Liu, 2022 (20) | High | Unclear | Low | High | High | Low | Low | |
Meng, 2023 (21) | Low | Unclear | Low | Low | Low | Low | Low | |
Pritchett, 2018 (22) | High | Low | Low | High | Low | Low | Low | |
Pritchett, 2021 (23) | Unclear | Low | Unclear | High | Low | Low | Low | |
Pritchett, 2024 (24) | Low | Unclear | Low | Low | Low | Low | Low | |
Reisenauer, 2022 (25) | Low | Low | Low | High | Low | Low | Low | |
Salahuddin, 2023 (26) | Unclear | Low | Low | Low | Low | Low | Low | |
Sobieszczyk, 2018 (27) | High | Low | Low | High | Low | Low | Low | |
Verhoeven, 2021 (28) | Low | Low | Low | High | Low | Low | Low | |
Yu, 2021 (29) | Unclear | Low | Low | Low | Low | Low | Low | |
Zhang, 2024 (30) | Unclear | Unclear | Low | High | Low | Low | Low |
QUADAS-2, Quality Assessment of Diagnostic Accuracy Studies-2.
Diagnostic performance
The overall DY of CBCT-guided bronchoscopy for PPLs was 80.2% (95% CI: 76.0–84.1%, I2=75.0%, Figure 2). Random effects model was adopted to compute the pooled DY due to significant heterogeneity. And subgroup analyses were conducted according to additional use of navigation, use of fixed or mobile CBCT, use of rEBUS, use of ROSE, CT spin before biopsy to affirm tool-in-lesion, strictness of the definition of DY, and study design. The summary of the subgroup analyses is shown in Table 3. Subgroup analysis based on additional navigation techniques showed that DY was highest when CBCT was used with RAB (pooled DY 87.5%; 95% CI: 81.5–92.4%), whereas DY was 78.9% (95% CI: 70.8–85.9%) when CBCT was used alone. The pooled DY was 79.0% (95% CI: 73.5–84.0%) when CBCT was used with longer established navigation (ENB and VB). Only one study used CBCT with NEAFNS, the DY was 77.2%. Subgroup analysis based on the use of fixed or mobile CBCT showed that the DY of fixed CBCT-guided bronchoscopy was 81.2% (95% CI: 77.8–84.3%), while the DY of mobile CBCT-guided bronchoscopy was 76.7% (95% CI: 54.1–93.3%). Subgroup analysis was also conducted according to whether rEBUS was used. The pooled DY was 80.9% (95% CI: 77.1–84.4%) when CBCT was used with rEBUS, and the pooled DY was 79.8% (95% CI: 70.5–87.7%) when CBCT was not used with rEBUS. Subgroup analysis according to definition of DY indicated that the pooled DY was 78.9% (95% CI: 72.9–84.3%) in studies using strict definition. For studies using intermediate definition, the pooled DY was 81.3% (95% CI: 76.8–85.4%), while the pooled DY was 78.2% (95% CI: 62.2–90.7%) in studies using liberal definition. Two studies did not report the definition of DY, the pooled DY was 89.0% (95% CI: 78.1–96.5%). Subgroup analysis according to study design indicated that the pooled DY was 80.6% (95% CI: 76.5–84.4%) in retrospective studies, while the pooled DY was 80.3% (95% CI: 71.3–87.9%) in prospective studies. Subgroup analysis was conducted according to whether ROSE was used. The pooled DY was 82.3% (95% CI: 78.5–85.9%) when ROSE was used, and the pooled DY was 76.3% (95% CI: 66.5–84.8%) when ROSE was not mentioned in the article. In one study, 54.4% of patients underwent ROSE evaluation, the DY was 83.3%. Subgroup analysis based on whether CT spin was performed to affirm tool-in-lesion before biopsy showed that the pooled DY was 83.1% (95% CI: 78.6–87.2%) when CT spin was performed. The pooled DY was 80.8% (95% CI: 73.6–87.0%) when a subset of patients underwent CT spin before biopsy, and the pooled DY was 73.4% (95% CI: 62.1–83.3%) when it was not mentioned in the article.

Table 3
Subgroup | Number of studies | Number of lesions | Summary diagnostic yield (95% CI) (%) | P value |
---|---|---|---|---|
Navigation techniques | 0.12† | |||
CBCT | 10 | 914 | 78.9 (70.8–85.9) | <0.001‡ |
CBCT + longer established navigation (ENB and VB) | 9 | 751 | 79.0 (73.5–84.0) | 0.02‡ |
CBCT + RAB | 3 | 141 | 87.5 (81.5–92.4) | 0.44‡ |
CBCT + NEAFNS | 1 | 57 | 77.2 (65.5–87.1) | NA‡ |
rEBUS | 0.81† | |||
Yes | 13 | 1,322 | 80.9 (77.1–84.4) | <0.001‡ |
No | 10 | 541 | 79.8 (70.5–87.7) | <0.001‡ |
Definition of diagnostic yield | 0.40† | |||
Strict | 9 | 801 | 78.9 (72.9–84.3) | <0.001‡ |
Intermediate | 7 | 667 | 81.3 (76.8–85.4) | 0.11‡ |
Liberal | 5 | 334 | 78.2 (62.2–90.7) | <0.001‡ |
Not reported | 2 | 61 | 89.0 (78.1–96.5) | 0.23‡ |
Study design | 0.94† | |||
Prospective | 10 | 600 | 80.3 (71.3–87.9) | <0.001‡ |
Retrospective | 13 | 1,263 | 80.6 (76.5–84.4) | <0.001‡ |
CBCT systems | 0.66† | |||
Fixed | 19 | 1,691 | 81.2 (77.8–84.3) | <0.001‡ |
Mobile | 4 | 172 | 76.7 (54.1–93.3) | <0.001‡ |
ROSE | 0.38† | |||
Yes (100%) | 13 | 1,240 | 82.3 (78.5–85.9) | <0.001‡ |
Yes (partially) | 1 | 228 | 83.3 (78.2–87.8) | NA‡ |
NR | 9 | 395 | 76.3 (66.5–84.8) | <0.001‡ |
CT spin before biopsy§ | 0.22† | |||
Yes (100%) | 13 | 971 | 83.1 (78.6–87.2) | <0.001‡ |
Yes (partially) | 4 | 385 | 80.8 (73.6–87.0) | 0.08‡ |
NR | 6 | 507 | 73.4 (62.1–83.3) | <0.001‡ |
†, P values for heterogeneity between groups; ‡, P values for intragroup heterogeneity; §, CT spin performed to affirm tool-in-lesion before biopsy. 95% CI, 95% confidence interval; CBCT, cone beam computed tomography; ENB, electromagnetic navigation bronchoscopy; NA, not available; NEAFNS, novel endobronchial augmented fluoroscopic navigation system; NR, not reported; RAB, robotic-assisted navigation bronchoscopy; rEBUS, radial endobronchial ultrasound; ROSE, rapid onsite cytologic examination; VB, virtual bronchoscopy; CT, computed tomography.
As shown in Table 4, nine studies compared DY between lesions ≤20 mm and lesions >20 mm. Lesions >20 mm was associated with significant increase in the odds of diagnosis compared with lesions ≤20 mm (OR =3.01, P<0.001). Six studies compared the DY between upper and non-upper lobe lesions. No significant difference was observed in the odds of diagnosis between upper lode lesions and non-upper lobe lesions (OR =1.39, P=0.13). Five studies compared DY between lesions with and without bronchus sign. Lesions with bronchus sign was associated with significant increase in the odds of diagnosis compared with lesions without bronchus sign (OR =3.43, P=0.03). Five studies compared DY between solid lesions and non-solid lesions. Solid lesions were associated with significant increase in the odds of diagnosis compared with non-solid lesions (OR =2.28, P<0.001). Four studies compared DY between forceps and FNA. No significant difference was observed in the odds of diagnosis between forceps and FNA (OR =1.00, P=0.99). Four studies compared DY between forceps and cryoprobe sampling. No significant difference was observed in the odds of diagnosis between forceps and cryoprobe sampling (OR =0.94, P=0.85).
Table 4
Comparison | Number of studies | OR | 95% CI | P value† | I2 |
---|---|---|---|---|---|
Size | |||||
>20 vs. ≤20 mm | 9 | 3.01 | 2.05–4.44 | <0.001 | 0.0% |
Lobes | |||||
Non-upper vs. upper | 6 | 1.39 | 0.91–2.12 | 0.13 | 11.6% |
Bronchus sign | |||||
Positive vs. negative | 5 | 3.43 | 1.12–10.45 | 0.03 | 78.1% |
Density | |||||
Solid vs. non-solid | 5 | 2.28 | 1.43–3.65 | <0.001 | 38.7% |
Sampling methods | |||||
Forceps vs. FNA | 4 | 1.00 | 0.37–2.70 | 0.99 | 89.6% |
Forceps vs. Cryo | 4 | 0.94 | 0.48–1.82 | 0.85 | 79.5% |
†, P values for test of association. CI, confidence interval; Cryo, cryoprobe sampling; FNA, fine needle aspiration; OR, odds ratio.
Safety analysis
Twelve studies reported pneumothorax (n=19 patients), six studies reported bleeding (n=18 patients), three studies reported respiratory failure or hypoxia (n=3 patients), one study reported pneumomediastinum (n=1 patient), two studies reported fever (n=9 patients), one study reported broken scope (n=2 patients). No adverse events occurred in 6 studies. One study did not report whether adverse events occurred. The overall adverse event rate was 2.3% (95% CI: 1.2–3.6%, I2=34.2%). The adverse event rate for fixed CBCT-guided bronchoscopy was 2.8% (95% CI: 1.6–4.3%, I2=33.5%), whereas the adverse event rate for mobile CBCT-guided bronchoscopy was 0.2% (95% CI: 0.0–2.1%, I2=0.0%).
Discussion
We performed the meta-analysis to assess the efficacy and safety of CBCT-guided bronchoscopy for PPLs. To our knowledge, this is the largest meta-analysis on this topic to date. The pooled DY of all included CBCT-guided bronchoscopy studies was 80.2%. Pooled adverse event rate was 2.3%.
In our meta-analysis, when CBCT-guided bronchoscopy was used alone, the pooled DY was 78.9%, which was comparable to the pooled DY of 78.2% reported by Kops et al. (6). In the study by Kops et al., only five studies evaluated the efficacy of CBCT-guided bronchoscopy when used alone, whereas we included ten studies. Although they evaluated the DY of CBCT multimodality, however, the DY of CBCT used with different navigation was not provided. Our subgroup analysis showed that the pooled DY was higher when CBCT used with RAB (87.5%), whereas the pooled DY of CBCT combined with longer established navigation (VB and ENB) was 79.0%. ENB and VB are guided by preoperative CT images. In the operation, changes in lung volume or atelectasis may result in lower DY. Some platforms of RAB have incorporated a system to address CT to body divergence by incorporating a target-location-updating function utilizing digital tomography (36). We performed subgroup analysis based on the use of fixed or mobile CBCT, which, to our knowledge, is the first subgroup analysis based on the use of fixed or mobile CBCT. The result showed that the DY of fixed CBCT-guided bronchoscopy was 81.2% (95% CI: 77.8–84.3%), which was higher than that of mobile CBCT-guided bronchoscopy (76.7%, 95% CI: 54.1–93.3%). Mobile CBCT provides lower image quality and requires more time for image acquisition compared to fixed CBCT, which may explain this result. However, fixed CBCT is usually mounted on the floor or ceiling of interventional radiology or hybrid operating rooms, making them inaccessible to most bronchoscopists. Our subgroup analysis based on the use of rEBUS showed that the combined DY was similar regardless of whether rEBUS was used or not. rEBUS is not real-time guidance and is not considered as strict navigation technique in many articles (6,32). The radial probe must be removed from the bronchoscope before biopsy, the forceps may enter a bronchus other than the one initially identified (37). CBCT offers comprehensive three-dimensional intra-procedural imaging and can be utilized to confirm tool-in-lesion, potentially having an impact on all phases of diagnostic bronchoscopy: navigation, verification, and tissue acquisition (7). Similar DY was observed in prospective (80.3%, 95% CI: 71.3–87.9%) and retrospective (80.6%, 95% CI: 76.5–84.4%) subgroups. In a hypothetical cohort generated by Vachani et al., DYs could have a variation of 13% to 22% depending on whether strict and liberal definitions were adopted (34). In our subgroup analysis, the DY of liberal group was 78.2% which was similar to the DY of strict group and intermediate group (78.9% and 81.3%). Similar to the study by Kops et al. (6), the DY did not vary greatly between strict, intermediate and liberal definitions. In addition to the difference in follow-up duration mentioned by Kops et al., other confounding factors such as the combination of different navigation systems, characteristics of pulmonary lesions, whether ROSE was used, and operator experience may affect the DY. Recently, the official research statement of American Thoracic Society/American College of Chest Physicians recommended strict definition of DY (38). However, old studies have not taken these definitions into account. More future studies following this statement will be helpful in obtaining more accurate and standardized data.
Different characteristics of lesions can also affect the DY of CBCT-guided bronchoscopy. Consistent to the study by Nadig et al. (31), lesion size >20 mm and presence of bronchus sign were associated with significant increase in the odds of diagnosis (P<0.05). Besides, we conducted meta-analysis based on lesion density (solid vs. non-solid) and location (upper lobe vs. non-upper lobe) of nodules. Our results showed that solid lesions were associated with significant increase in the odds of diagnosis (P<0.05), while the odd of diagnosis was not significantly different between upper lobe and non-upper lobe lesions (P=0.13). Lesion size >20 mm, presence of bronchus sign, and solid lesions could serve as predictors for higher DY in CBCT-guided bronchoscopy. In addition, we evaluated sampling tools, confirmation of tool-in-lesion before biopsy, and ROSE. There was no significant difference in the odds of diagnosis between forceps and FNA (P=0.99), or between forceps and cryoprobe sampling (P=0.85). Since limited studies provide complete data, further studies are required to confirm or correct the result. When CT spin was performed before biopsy to confirm tool-in-lesion, the pooled DY (83.1%, 95% CI: 78.6–87.2%) was higher than that (73.4%, 95% CI: 62.1–83.3%) when it was not mentioned in the article. Similarly, when ROSE was used, the pooled DY (82.3%, 95% CI: 78.5–85.9%) was higher than that (76.3%, 95% CI: 66.5–84.8%) when ROSE was not mentioned in the article.
CBCT-guided bronchoscopy was a safe navigation technique, the adverse event rate was only 2.3% in all studies. It may be an excellent navigation option for patients with PPLs. Nevertheless, there are still certain limitations in our meta-analysis which should be considered. First, more clinical studies are needed in the future, especially those using strict definition of DY. Second, most studies had a high or unclear risk of bias in patient selection, index test, and reference standard domains. Third, operator experience may also affect the results. Most studies did not provide sufficient information on procedure time and radiation exposure, which was not analyzed in the meta-analysis. Finally, this meta-analysis only included published studies, and potential publication bias may affect the results.
Conclusions
This meta-analysis indicates that CBCT-guided bronchoscopy is a safe procedure with high DY, especially used with RAB. Lesion size >20 mm, presence of bronchus sign, and solid lesions are associated with significant increase in the odds of diagnosis, which may serve as predictors for higher DY in CBCT-guided bronchoscopy. More clinical studies, especially those using strict definition of DY, are needed in the future to confirm or correct our results.
Acknowledgments
None.
Footnote
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