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Erschienen in: BMC Pulmonary Medicine 1/2018

Open Access 01.12.2018 | Research article

Clinical updates of approaches for biopsy of pulmonary lesions based on systematic review

verfasst von: Chuan-Jiang Deng, Fu-Qiang Dai, Kai Qian, Qun-You Tan, Ru-Wen Wang, Bo Deng, Jing-Hai Zhou

Erschienen in: BMC Pulmonary Medicine | Ausgabe 1/2018

Abstract

Background

Convenient approaches for accurate biopsy are extremely important to the diagnosis of lung cancer. We aimed to systematically review the clinical updates and development trends of approaches for biopsy, i.e., CT-guided PTNB (Percutaneous Transthoracic Needle Biopsy), ENB (Electromagnetic Navigation Bronchoscopy), EBUS-TBNA (Endobroncheal Ultrasonography-Transbronchial Needle Aspiration), mediastinoscopy and CTC (Circulating Tumor Cell).

Methods

Medline and manual searches were performed. We identified the relevant studies, assessed study eligibility, evaluated methodological quality, and summarized diagnostic yields and complications regarding CT-guided PTNB (22 citations), ENB(31 citations), EBUS-TBNA(66 citations), Mediastinoscopy(15 citations) and CTC (19 citations), respectively.

Results

The overall sensitivity and specificity of CT-guided PTNB were reported to be 92.52% ± 3.14% and 97.98% ± 3.28%, respectively. The top two complications of CT-guided PTNB was pneumothorax (946/4170:22.69%) and hemorrhage (138/1949:7.08%). The detection rate of lung cancer by ENB increased gradually to 79.79% ± 15.34% with pneumothorax as the top one complication (86/1648:5.2%). Detection rate of EBUS-TBNA was 86.06% ± 9.70% with the top three complications, i.e., hemorrhage (53/8662:0.61%), pneumothorax (46/12432:0.37%) and infection (34/11250:0.30%). The detection rate of mediastinoscopy gradually increased to 92.77% ± 3.99% with .hoarseness as the refractory complication (4/2137:0.19%). Sensitivity and specificity of CTCs detection by using PCR (Polymerase Chain Reaction) were reported to be 78.81% ± 14.72% and 90.88% ± 0.53%, respectively.

Conclusion

The biopsy approaches should be chosen considering a variety of location and situation of lesions. CT-guided PTNB is effective to reach lung parenchyma, however, diagnostic accuracy and incidence of complications may be impacted by lesion size or needle path length. ENB has an advantage for biopsy of smaller and deeper lesions in lung parenchyma. ENB plus EBUS imaging can further improve the detection rate of lesion in lung parenchyma. EBUS-TBNA is relatively safer and mediastinoscopy provides more tissue acquisition and better diagnostic yield of 4R and 7th lymph node. CTC detection can be considered for adjuvant diagnosis.
Hinweise
Chuan-Jiang Deng and Fu-Qiang Dai contributed equally to this work.
Abkürzungen
CTC
Circulating tumor cell
EBUS-TBNA
Endobroncheal Ultrasonography-Transbronchial Needle Aspitation
ENB
Electromagnetic navigation bronchoscopy
PCR
Polymerase chain reaction
PTNB
Percutaneous transthoracic needle biopsy

Background

Lung cancer is the most frequently diagnosed cancer and continues to be the leading cause of cancer mortality among both males and females [1]. The 5-year survival rate of lung cancer is only 18%, largely due to late-stage diagnosis [1]. Thus, early diagnosis is especially critical to improve long-term survival. Biopsy is important for identification and confirmation of lung cancer. In clinical practice, conventional flexible bronchoscopy is supposed to be difficult for biopsy of small lesions in lung parenchyma or mediastinum. Therefore, we focused on the following approaches for biopsy according to a variety of lesion location in lung parenchyma, i.e., CT-guided PTNB(Percutaneous Transthoracic Needle Biopsy), ENB (Electromagnetic Navigation Bronchoscopy), EBUS-TBNA (Endobroncheal Ultrasonography-Transbronchial Needle Aspitation) and mediastinoscopy. Furthermore, the studies regarding liquid biopsies, e.g., CTC (Circulating Tumor Cell) detection are timely and hot, and warrant to be systematically reviewed.
Therefore, we evaluated the published studies in the last 20 years which focused on CT-guided PTNB, ENB, EBUS-TBNA, mediastinoscopy and CTC, aiming to reveal the clinical updates, development trends, detection rates and complications.

Methods

We used systematic review to identify relevant studies, assess study eligibility, evaluate methodological quality, and summarize findings regarding postoperative clinical outcomes. Medline and manual searches were performed by investigators CJD and FQD independently and jointly to identify all published articles in English journals from January 1, 2000 to November 9, 2017 that addressed the issues regarding detection of lung cancers by using CT-guided PTNB, ENB, EBUS-TBNA, mediastinoscopy and CTCs, respectively. The Medline search was done on PubMed (http://​www.​ncbi.​nlm.​nih.​gov). The search strategies and yielded citations were shown in Tables 1 and 2, respectively. Investigators CJD and FQD performed the actual search and data abstraction.
Table 1
Data sources and searches regarding Clinical updates of approaches for biopsy
Methods
Search term
Period
Additional filters
Citation number after filtration
Citation number after Manual verification
CT-guided PTNB
ct guided transthoracic needle biopsy[All Fields] AND lung neoplasms[MeSH Terms]
From January 1, 2000 To November 9, 2017
English, humans without review
106
22
ENB
‘electromagnetic navigation
bronchoscopy (ENB)’[All Fields]
From January 1, 2000 To November 9, 2017
English, humans without review
91
31
EBUS-TBNA
EBUS[All Fields] AND “lung neoplasms” [MeSH Terms]
From January 1, 2000 To November 9, 2017
English, humans without review
613
66
Mediastinoscopy
Mediastinoscopy[Mesh Terms]
AND “lung neoplasms”[MeSH Terms]
From January 1, 2000 To November 9, 2017
English, humans without review
333
15
CTC
‘Neoplastic Cells, Circulating’[Mesh Terms] AND “lung neoplasms”[MeSH Terms]
From January 1, 2000 To November 9, 2017
English, humans without review
459
19
Table 2
Information of yielded citations regarding approaches for biopsy
PMID
Year
Method
Corresponding author
Cases
Diagnostic sensitivity
28,415,930
2017
CT-guided PTNB
Feride Fatma Go¨rgu¨lu¨
65
90.80%
28,063,634
2016
CT-guided PTNB
C. Fontaine-Delaruelle
929
N/A
26,980,483
2016
CT-guided PTNB
Mickey Sachdeva
203
N/A
26,397,325
2015
CT-guided PTNB
M. Petranovic
52
N/A
26,110,775
2015
CT-guided PTNB
Wen Yang
311
77%
25,903,714
2015
CT-guided PTNB
Matthew Koslow
181
94.40%
25,816,042
2015
CT-guided PTNB
Fabio Pagni
N/A
97.60%
25,662,328
2015
CT-guided PTNB
Anna Galluzzo
23
87%
25,569,025
2015
CT-guided PTNB
Sébastien Couraud
980
90%
25,051,977
2014
CT-guided PTNB
Tingyang Hu
341
N/A
24,581,458
2014
CT-guided PTNB
Jeffrey S. Klein
32
N/A
24,475,839
2014
CT-guided PTNB
Chang Min Park
1108
97%
25,763,320
2014
CT-guided PTNB
Sanjay Piplani
74
95.94%
23,510,132
2013
CT-guided PTNB
Antonio Bugalho
123
N/A
23,079,048
2013
CT-guided PTNB
Yi-Ping Zhuang
102
96.10%
22,951,610
2012
CT-guided PTNB
Ragulin IuA
107
N/A
22,124,475
2012
CT-guided PTNB
Yeun-Chung Chang
55
N/A
21,537,657
2012
CT-guided PTNB
Lu CH
89
91.50%
21,098,171
2010
CT-guided PTNB
Hye Sun Hwang
27
94%
15,246,522
2004
CT-guided PTNB
Ohno Y
N/A
96.90%
14,595,149
2003
CT-guided PTNB
Stephen T. Kee
846
96%
14,595,149
2003
CT-guided PTNB
Stephen T. Kee
846
92%
12,118,196
2002
CT-guided PTNB
Adnan Yilmaz
294
88%
28,410,635
2017
ENB
Christopher W. Towe
341
N/A
27,623,421
2017
ENB
Michael Chacey
31
96.80%
28,459,951
2017
ENB
Kongjia Luo
24
100.00%
28,449,489
2017
ENB
Hiran C. Fernando
17
79.00%
28,399,830
2017
ENB
Erik E. Folch
1000
N/A
26,944,363
2016
ENB
Mohammed Al-Jaghbeer
92
60.00%
27,157,054
2016
ENB
Arjun Pennathur
29
100.00%
27,424,820
2016
ENB
Fumihiro Asano
932
71.00%
25,849,298
2015
ENB
Demet Karnak
44
72.80%
25,590,477
2015
ENB
Mark R. Bowling
107
73.60%
24,739,685
2014
ENB
Nima Nabavizadeh
31
N/A
24,401,166
2014
ENB
Gregoire Gex
971
64.90%
23,440,066
2013
ENB
Demet Karnak
76
89.50%
24,323,803
2013
ENB
Rana S Hoda
40
94.00%
23,649,436
2013
ENB
M. Patricia Rivera
932
71.00%
22,391,437
2012
ENB
B.Lamprecht
112
83.90%
22,277,964
2012
ENB
Daryl Phillip Pearlstein
104
85.00%
23,207,529
2012
ENB
Christopher R Dale
100
N/A
23,207,349
2012
ENB
Kyle R. Brownback
55
74.50%
23,207,460
2012
ENB
Kurt W. Jensen
92
65.00%
23,169,081
2011
ENB
Amit K. Mahajan
49
77.00%
20,850,809
2010
ENB
Carsten Schroeder
52
N/A
20,802,352
2010
ENB
Felix J. F. Herth
25
80.00%
20,435,658
2010
ENB
Luis M. Seijo
51
67.00%
19,648,733
2010
ENB
med. Ralf Eberhardt
54
75.50%
19,546,519
2009
ENB
Jean-Michel Vergnon
54
71.40%
17,400,670
2007
ENB
Armin Ernst
92
67.00%
17,360,724
2007
ENB
C-H. Marquette
40
62.50%
17,532,538
2007
ENB
Motoko Tachihara
94
62.50%
17,379,850
2007
ENB
Armin Ernst
120
59.00%
16,873,767
2006
ENB
Thomas R. Gildea
60
74.00%
29,054,229
2017
EBUS-TBNA
Chen-Yoshikawa
413
N/A
27,710,975
2016
EBUS-TBNA
Fumihiro Tanaka
20
75.00%
27,435,209
2016
EBUS-TBNA
João Pedro Steinhauser Motta
84
61.00%
27,409,724
2015
EBUS-TBNA
Whittney A. Warren
333
98.86%
27,150,855
2016
EBUS-TBNA
Sang-Won Um
161
94.00%
26,656,954
2015
EBUS-TBNA
Baijiang Zhang
114
81.20%
26,545,094
2015
EBUS-TBNA
Wen-Chien Cheng
2527
N/A
26,386,084
2015
EBUS-TBNA
Massimo Barberis
291
95.53%
26,176,519
2015
EBUS-TBNA
Sebastián Fernández-Bussy
145
91.17%
25,611,227
2015
EBUS-TBNA
Sang-Won Um
138
92.90%
25,584,815
2014
EBUS-TBNA
Roberto F. Casal
220
N/A
25,170,748
2014
EBUS-TBNA
Andrew R.L. Medford
70
90.00%
25,149,044
2014
EBUS-TBNA
Masato Shingyoji
113
88.40%
24,930,616
2014
EBUS-TBNA
Masahide Oki
150
89%
24,853,017
2014
EBUS-TBNA
Yasushi Murakami
100
97.00%
24,419,182
2013
EBUS-TBNA
Paul F. Clementsen
76
88.16%
24,340,058
2013
EBUS-TBNA
Takayuki Shiroyama
178
73.60%
24,238,520
2014
EBUS-TBNA
Zhao H
66
89.40%
24,172,712
2013
EBUS-TBNA
Kang HJ
74
93.20%
24,125,976
2013
EBUS-TBNA
Ozgül MA
40
94.70%
24,079,724
2013
EBUS-TBNA
Lonny Yarmus
85
100.00%
24,075,565
2013
EBUS-TBNA
Yinin Hu
231
90.00%
23,994,976
2013
EBUS-TBNA
Sang-Won Um
42
95.30%
23,953,728
2013
EBUS-TBNA
Konstantinos Syrigos
981
76.20%
23,723,003
2013
EBUS-TBNA
Guo-liang Xu
128
93.00%
23,663,438
2013
EBUS-TBNA
Fumihiro Asano
7345
N/A
23,639,784
2013
EBUS-TBNA
Riccardo Inchingolo
662
77.00%
23,609,248
2013
EBUS-TBNA
Christian B. Gindesgaard
116
87.00%
23,609,243
2013
EBUS-TBNA
Hammad A. Bhatti
13
94.00%
23,571,718
2013
EBUS-TBNA
Masahide Oki
108
88.00%
23,549,813
2013
EBUS-TBNA
Sang-Won Um
37
86.40%
23,245,441
2012
EBUS-TBNA
Kazuhiro Yasufuku
438
96.50%
23,117,878
2014
EBUS-TBNA
George A. Eapen
1317
N/A
24,632,834
2014
EBUS-TBNA
Sang-Won Um
44
79.00%
24,603,902
2013
EBUS-TBNA
Moishe Liberman
161
72.00%
22,219,613
2012
EBUS-TBNA
Sang-Won Um
151
91.60%
22,154,791
2011
EBUS-TBNA
Benjamin E. Lee
73
95.00%
21,963,329
2011
EBUS-TBNA
Kazuhiro Yasufuku
153
81.00%
21,792,077
2011
EBUS-TBNA
Sam M. Janes
161
87.00%
21,718,857
2011
EBUS-TBNA
Alexander Chen
50
81.00%
21,651,742
2011
EBUS-TBNA
Shahab Nozohoo
243
66.00%
21,592,457
2010
EBUS-TBNA
Kazuhiro Yasufuku
450
93.10%
20,819,667
2010
EBUS-TBNA
Tian Q
33
69.70%
20,740,503
2010
EBUS-TBNA
Qing Kay Li
47
89.50%
20,609,781
2010
EBUS-TBNA
Kazuhiro Yasufuku
N/A
96.40%
20,372,904
2010
EBUS-TBNA
J. Eckardt
308
72.00%
20,138,390
2010
EBUS-TBNA
Bin Hwangbo
126
97.20%
20,037,856
2010
EBUS-TBNA
Sökücü SN
N/A
88.20%
20,022,759
2010
EBUS-TBNA
Artur Szlubowski
61
67.00%
19,890,836
2009
EBUS-TBNA
Wei Sun
64
88.90%
19,789,210
2009
EBUS-TBNA
Andrew RL Medford
54
89.00%
19,699,917
2009
EBUS-TBNA
Sebastien Gilbert
172
86.60%
19,590,457
2009
EBUS-TBNA
Armin Ernst
N/A
91.00%
19,502,074
2009
EBUS-TBNA
Henrik Ømark Petersen
157
85.00%
19,447,014
2009
EBUS-TBNA
Devanand Anantham
N/A
90.00%
19,371,395
2008
EBUS-TBNA
David Fielding
68
94.00%
19,068,672
2008
EBUS-TBNA
Marie-Paule Jacob-Ampuero
48
77.00%
18,952,453
2009
EBUS-TBNA
Jarosław Kuzdza
226
89.00%
18,263,680
2007
EBUS-TBNA
Armin Ernst
100
89.00%
17,916,175
2008
EBUS-TBNA
Mariko Siyue Koh
38
62.00%
17,379,850
2006
EBUS-TBNA
Armin Erns
120
69.00%
17,035,455
2007
EBUS-TBNA
Meng-Chih Lin
151
73.80%
16,963,667
2006
EBUS-TBNA
Takehiko Fujisawa
102
92.30%
16,807,262
2005
EBUS-TBNA
F.J.F. Herth
100
92.30%
16,171,897
2005
EBUS-TBNA
Takehiko Fujisawa
105
94.60%
27,385,137
2016
Mediastinoscopy
Necati C¸itak
261
96.00%
27,385,137
2016
Mediastinoscopy
Necati C¸itak
187
95.00%
24,751,152
2014
Mediastinoscopy
Benjamin Wei
721
87.10%
23,778,084
2013
Mediastinoscopy
Akif Turna
344
92.20%
23,778,084
2013
Mediastinoscopy
Akif Turna
89
96.60%
23,008,924
2012
Mediastinoscopy
Ashutosh Chauhan
39
87.50%
22,219,461
2012
Mediastinoscopy
Carme Obiolsa
221
95.00%
21,601,176
2011
Mediastinoscopy
Young Mog Shim
521
95.90%
20,417,780
2010
Mediastinoscopy
Yaron Shargall
104
98.90%
20,417,780
2010
Mediastinoscopy
Yaron Shargall
396
97.20%
18,520,794
2008
Mediastinoscopy
Armin Ernst
66
78.00%
18,687,697
2008
Mediastinoscopy
Elias A. Karfis
139
88.40%
18,054,494
2007
Mediastinoscopy
Gunda Leschber
377
87.90%
12,842,542
2003
Mediastinoscopy
Jèrôme Mouroux
154
98.00%
12,683,545
2003
Mediastinoscopy
Didier Lardinois
195
95.60%
11,321,666
2001
Mediastinoscopy
Reidar Grénman
249
84.30%
26,913,536
2016
CTC
María Jose Serrano
56
51.80%
26,951,195
2016
CTC
Noriyoshi Sawabata
23
30.40%
27,206,795
2016
CTC
Binlei Liu
40
55.00%
27,206,795
2016
CTC
Binlei Liu
40
75.00%
25,996,878
2015
CTC
Wei Li
169
23.70%
25,678,504
2014
CTC
Mario Santini
16
89.00%
23,861,795
2013
CTC
Viswam S. Nair
43
60.47%
21,098,695
2011
CTC
Paul Hofman
208
49.00%
21,215,651
2011
CTC
Noriyoshi Sawabata
75
69.33%
21,683,606
2011
CTC
Renato Franco
45
23.90%
21,128,227
2010
CTC
Paul Hofman
210
39.00%
21,128,227
2010
CTC
Paul Hofman
210
50.00%
20,471,712
2010
CTC
Chul-Woo Kim
61
42.60%
20,471,712
2010
CTC
Chul-Woo Kim
61
36.10%
19,887,487
2009
CTC
Fumihiro Tanaka
125
71.00%
18,514,066
2008
CTC
Yan-hui Yin
134
84.30%
18,606,477
2008
CTC
Shang-mian Yie
67
38.80%
17,554,991
2007
CTC
Noriyoshi Sawabata
9
11.10%
16,642,481
2006
CTC
Inn-Wen Chong
100
90.00%
15,801,980
2005
CTC
Katharina Pachmann
29
86.21%
12,167,790
2002
CTC
Michio Ogawa
57
38.60%

Data abstraction

From the eligible articles, investigators CJD and FQD reviewed the following information, i.e., PMID, year of publication, study design, number of patients, average age of patients, nodules size and location, operation time, biomarkers for detection, diagnostic sensitivity, relative complication morbidity, treatment of complications, outcome and follow-up period.

Statistical analysis

The association between detection rate of ENB and nodule size, number of cases, operation time, average age of patients, sex, and mean distance of the lesions from the pleura was performed using Pearson’s correlation analysis. The impact of nodule location on detection rate of ENB was analyzed by using ANOVA analysis. The association between morbidity of pneumothorax following ENB and nodule size was performed using Pearson’s correlation analysis. The analyses were performed using SPSS Version 11.0 software for Windows (SPSS, Inc., Chicago, IL, USA). P < 0.05 (two-sided) was considered to indicate a statistically significant difference.

Results

CT-guided PTNB: Biopsy of lesion in lung parenchyma mapped on CT images

In last 20 years, the overall sensitivity, specificity, and accuracy of CT-guided PTNB were 92.52 ± 3.14%, 97.98 ± 3.28%, and 92.28% ± 5.40%, respectively. The top two complications of CT-guided PTNB were pneumothorax (1111/4822:23.04%) and hemorrhage (287/3503:8.19%), respectively. Two cases with severe complications were reported [2, 3]. Bronchial artery embolization was performed in one patient due to massive hemoptysis [3]. The other one suffered from cardiopulmonary arrest leading to death [2].
Diagnostic accuracy and incidence of complications seemed to be decreased [35] and increased [29], respectively, by smaller lesion size or longer needle path length (P < 0.05).

ENB: Biopsy of lesion in lung parenchyma and mediastinal area

The detection rate of lung cancer by ENB increased gradually (Fig. 1a) and was recently reported to be 96.8% [10]. There seemed to be no significant correlation between detection rate and number of cases, average age of patients, sex, nodule size, lobar location of nodule, mean distance from pleura to nodule and operation time. As shown in Fig. 1b, pneumothorax was the top one complication following ENB (86/1648:5.2%). In 86 pneumothorax cases, 34 cases (34/86) were administrated with closed drainage [1021], and one case (1/86) was managed with manual aspiration and observation [19]. The other 51 cases with mild pneumothorax were discharged for rehabilitation. Intriguingly, the incidence of pneumothorax was significantly negatively correlated with nodule size (R = − 0.512, P = 0.018, Fig. 1c). The three hemorrhage cases were observed carefully without further intervention and were discharged for rehabilitation [16, 22]. Three cases of respiratory failure were reported without detailed depiction [16]. There were no ENB related death [1030]. ENB plus EBUS imaging seemed to yield a higher detection rate as compared with sole use of ENB (59% vs. 88% [20] and 71.42% vs. 73.07% [11]). Surprisingly, studies combining fluoroscopy with ENB to confirm navigation success reported lower diagnostic yields (56.3 vs. 69.2% without fluoroscopy, p = 0.006) [31].

EBUS-TBNA: Biopsy of lesion in subcarinal and bilateral hilar area

The detection rate of lung node by EBUS-TBNA remained to be 86.06 ± 9.70%. The diagnostic sensitivity, specificity, accuracy, positive predictive value and negative predictive value of EBUS-TBNA for the mediastinal staging of lung cancer were 85.48% ± 12.89%, 99.09% ± 3.15%, 92.88% ± 4.99%, 98.70% ± 3.03%, 83.03% ± 15.46%, respectively. As shown in Fig. 2a, the top three complications following EBUS-TBNA were hemorrhage (53/8662:0.61%), pneumothorax (46/12432:0.37%) and infection (34/11250:0.30%), respectively. Four hemorrhage cases were administrated with further intervention with one perioperative death. The other 49 cases with mild hemorrhage were discharged for rehabilitation [32, 33]. In 46 pneumothorax cases, nine cases (9/46) and 37 cases (37/46) were administrated with closed drainage and conservative treatment, respectively [3235]. Perioperative mortality was relatively low (4/11189:0.04%). Besides the above mentioned one case died of severe hemorrhage, there was one case died of cerebral infarction and two unexplained deaths [32, 33, 36].

Mediastinoscopy: Biopsy of the lesion or lymph node in the vicinity of the trachea, the subcarinal and the bronchi area

The detection rate of lung cancer by mediastinoscopy increased slightly (Fig. 2b) which was reported to be 96% in recent years [37]. The diagnostic sensitivity, specificity, accuracy, positive predictive value and negative predictive value of mediastinoscopy for the mediastinal staging of lung cancer were 82.83% ± 10.63%, 100%, 93.98% ± 4.68%, 100%, 87.64% ± 13.00%, respectively. Intriguingly, the positive rates of 4thR (91.5% ± 9.35%) and 7th (80.56% ± 19.47%) lymph node were significantly higher than others (P = 0.03) (Fig. 2c). As shown in Fig. 2d, hoarseness (67/4387:1.53%) was the top one complication following mediastinoscopy. Among the abovementioned 67 cases with hoarseness, nine cases (9/67) suffered from permanent hoarseness, two cases (2/67) recovered partially by vocal cord medialization and six cases (6/67) recovered within a few months [3745]. Perioperative mortality was relatively low (4/2137: 0.19%). The death causes among three cases were aortic laceration, stroke, and cardiac arrest, respectively, and one case die of unexplained cause [46].

CTC: Biopsies of tumor cells shed from solid tumor lesion into peripheral blood

The mean sensitivities of a variety of methods to detect CTC remained to be 63.05%. As shown in Fig. 3a, sensitivity of PCR seemed to be highest (78.81 ± 14.72%). Sensitivity of Density-gradient, ISET and Magnetic bead seemed to be higher than 60% (71.32% ± 2.8%, 67.75% ± 21.22% and 67.85% ± 25.24%, respectively). Specificity of ISET, PCR and Cell search was relatively high (100%, 90.88 ± 0.53% and 94.33% ± 9.82%, respectively). There was no published data regarding specificity of Magnetic bead and density-gradient.
Intriguingly, there are a variety of biomarker combination for CTCs identification by using PCR yielding different sensitivities. As shown in Fig. 3b, the sensitivity of Multimarker assay seemed to be highest (90%). Besides, the sensitivity of the combination of TSA-9, KRT-19, Pre-proGRP was satisfactory (84.3%).

Discussion

Considering the exquisite anatomy of the mediastinum, hilar and lung parenchyma, the equipment and technique, e.g., percutaneous lung biopsy, ENB, EBUS-TBNA, and Mediastinoscopy developed quickly. Furthermore, liquid biopsy, e.g., CTC detection has been introduced and a few pilot studies regarding early diagnosis of lung cancer have been published [4765]. According to application in specific location and situation, we systemic reviewed clinical updates of these approaches focusing on development trends, detection rate and complications .
CT-guided PTNB is regarded as an effective and feasible procedure to detect a difficult nodule with advantage of accurate positioning and high detection accuracy. Nevertheless, once the lesion diameter is less than 2 cm or the needle path length is more than 8 cm, the detection rate will drop dramatically [4]. In addition, the lesions in the vicinity of mediastinum vessels are challengers to clinicians with regards to safety. Currently, ENB is developed for biopsy of the lesions in deep lung parenchyma or mediastinum.
ENB is recommended in patients with lesions in lung parenchyma difficult to reach with conventional bronchoscopy or CT-guided PTNB. The detection rate of ENB increased gradually probably due to improvement of software and hardware. Eberhardt et al. [20] found nodule location has been noted to be an important factor in diagnostic yield, e.g., the yields from the lower lobes were significantly lower (29%; p = 0.01). However, Jensen et al. [22] found lobar location of nodule did not affect the diagnostic yield (p = 0.59). Therefore, we systematically analyzed the results of six studies mentioning detection rate and nodule location [14, 20, 22, 27, 29, 66], and found that there seemed to be no association between them (p = 0.433). The highest incidence of complication is pneumothorax (5.2%). However, pneumothorax following ENB was reported to be unrelated with age or sex [16], accordant with our results. Intriguingly, the incidence of pneumothorax seemed to be significantly negatively correlated with nodule size, probably due to difficulties varying with the size. Additionally, there was no reported ENB associated death, proving that ENB is relatively safe.
Empirically, EBUS-TBNA is suitable for biopsy of lesion in subcarinal and bilateral hilar area. EBUS-TBNA is also well utilized in the peripheral area with radial probe EBUS and in conjunction with ENB. As EBUS-TBNA has relatively high false negative rates, especially at station 4R or 7 lymph node, mediastinoscopy is still required for patients with suspicious nodal disease in these stations [67]. Cytological samples are usually taken by EBUS-TBNA, however, larger histological tissue samples are possible to obtain by mediastinoscopy.
Mediastinoscopy is always recognized as the gold standard for surgical staging of lung cancer which is suitable for biopsy in the vicinity of the trachea, the subcarinal and the bronchi area. Especially, the positive rate of station 4Rth (91.5 ± 9.35%) and 7th (80.56 ± 19.47%) lymph node were significantly higher than other stations (Fig. 2c). Nevertheless, as mediastinoscopy is an invasive approach, the incidences of complications are relatively remarkable.
CTC is a kind of liquid biopsies of tumor cells shed from solid tumor lesions (primary foci and metastases) into peripheral blood. Although the mean sensitivities of CTC detection were not satisfactory, the convenience of this non-invasive method seems to be incomparable. Sensitivity of PCR remained to be highest (78.81% ± 14.72%) as compared with other methods. Intriguingly, the sensitivities of PCR varies with combined biomarkers. Expectedly, the sensitivity of combination of multimarkers assay is highest (90%). Furthermore, the specificity of the three methods, i.e., ISET, PCR and Cell search, was relatively high (100%, 90.88% ± 0.53% and 94.33% ± 9.82%, respectively). Currently, CTC can be used as an auxiliary diagnostic method to provide a higher detection rate.

Conclusions

The biopsy approaches should be chosen according to a variety of location and situation of lesions. CT-guided PTNB is regarded as an effective and feasible procedure for biopsy in lung parenchyma, however, diagnostic accuracy and incidence of complications may be impacted by lesion size or needle path length. ENB has an advantage for biopsy of smaller and deeper lesions in lung parenchyma. ENB plus EBUS imaging can further improve the detection rate. EBUS-TBNA and mediastinoscopy can be recommended for the biopsy in lower and upper mediastinum, respectively. The former is relatively safer and the latter provides more tissue acquisition and better diagnostic yield of 4R and 7th lymph node. CTC detection can be considered for adjuvant diagnosis.

Acknowledgements

We’d appreciated Drs. Mingzhou Guo, Riitta Kaarteenaho and J. Francis Turner for valuable comments which improves our manuscript greatly.

Funding

This study was supported by grants from the National Natural Science Foundations of China (NSFC) (No. 81101782 and 81572285), and National Natural Science Foundation of Chongqing City (No.cstc2018jcyjAX0592).

Availability of data and materials

The dataset was searched on PubMed (http://​www.​ncbi.​nlm.​nih.​gov). The search strategies and yielded citations were shown in Tables 1 and 2, respectively.
Not applicable
Not applicable

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

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Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated.
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Metadaten
Titel
Clinical updates of approaches for biopsy of pulmonary lesions based on systematic review
verfasst von
Chuan-Jiang Deng
Fu-Qiang Dai
Kai Qian
Qun-You Tan
Ru-Wen Wang
Bo Deng
Jing-Hai Zhou
Publikationsdatum
01.12.2018
Verlag
BioMed Central
Erschienen in
BMC Pulmonary Medicine / Ausgabe 1/2018
Elektronische ISSN: 1471-2466
DOI
https://doi.org/10.1186/s12890-018-0713-6

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