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Frontiers of Medicine

ISSN 2095-0217

ISSN 2095-0225(Online)

CN 11-5983/R

Postal Subscription Code 80-967

2018 Impact Factor: 1.847

Front. Med.    2018, Vol. 12 Issue (5) : 586-592    https://doi.org/10.1007/s11684-017-0566-z
LETTER TO FRONTIERS OF MEDICINE
Learning curve of totally thoracoscopic pulmonary segmentectomy
Weibing Wu, Jing Xu, Wei Wen, Yue Yu, Xinfeng Xu, Quan Zhu(), Liang Chen()
Department of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
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Abstract

Totally thoracoscopic pulmonary segmentectomy (TTPS) is a feasible and safe technique that requires advanced thoracoscopic skills and knowledge of pulmonary anatomy. However, data describing the learning curve of TTPS have yet to be obtained. In this study, 128 patients who underwent TTPS between September 2010 and December 2013 were retrospectively analyzed to evaluate the learning curve and were divided chronologically into three phases, namely, ascending phase (A), plateau phase (B), and descending phase (C), through cumulative summation (CUSUM) for operative time (OT). Phases A, B, and C comprised 39, 33, and 56 cases, respectively. OT and blood loss decreased significantly from phases A to C (P <0.01), and the frequency of intraoperative bronchoscopy for target bronchus identification decreased gradually (A, 8/39; B, 4/33; C, 3/56; P = 0.06). No significant differences were observed in demographic factors, conversion, complications, hospital stay, and retrieved lymph nodes among the three phases. Surgical outcomes and techniques improved with experience and volume. CUSUMOT indicated that the learning curve of TTPS should be more than 72 cases.

Keywords thoracoscopic      segmentectomy      learning curve      CUSUM     
Corresponding Author(s): Quan Zhu,Liang Chen   
Just Accepted Date: 12 December 2017   Online First Date: 26 February 2018    Issue Date: 29 September 2018
 Cite this article:   
Weibing Wu,Jing Xu,Wei Wen, et al. Learning curve of totally thoracoscopic pulmonary segmentectomy[J]. Front. Med., 2018, 12(5): 586-592.
 URL:  
https://academic.hep.com.cn/fmd/EN/10.1007/s11684-017-0566-z
https://academic.hep.com.cn/fmd/EN/Y2018/V12/I5/586
Fig.1  Operative time plotted against the case number. Blue solid points represent the row data of operative time.
Fig.2  CUSUMOT plotted against the case number. Green solid line represents the curve of best fit for the plot [a second-order polynomial with equation CUSUMOT = −0.32 (case number)2 + 38.67 case number+ 96.17, (R = 0.93)]. Purple dashed lines indicate the three phases of the cumulative sum (CUSUM) learning curve.
Parameters Phase A Phase B Phase C P
Sex, M/F (n) 14/25 15/18 20/36 0.616
Age (year) 58.8±11.0 61.5±12.0 57.9±12.0 0.363
FVC (%) 98.6±13.1 94.3±16.4 97.0±14.9 0.464
FEV1/FVC (%) 84.4±9.5 85.4±7.7 85.0±8.8 0.878
Nodule size (cm) 1.3±0.8 1.6±0.7 1.5±0.9 0.514
Diagnosis 0.844
Benign 8 5 12
Primary carcinoma 30 28 42
Metastatic carcinoma 1 0 2
Histological type of benign
Atypical adenomatous hyperplasia 4 1 4 0.504
Inflammatory pseudotumor 2 1 1
Tuberculoma 1 1 1
Fungus 0 0 2
Hamartoma 1 0 3
Bronchogenic cyst 0 1 1
Sclerosing hemangioma 0 1 0
Histological type of primary carcinoma 0.634
Adenocarcinoma in situ 11 8 13
Adenocarcinoma 18 17 28
Squamous cell carcinoma 0 2 1
Others 1 1 0
TNM staging 0.972
0 11 8 13
IA 16 17 24
IB 1 2 3
IIA 1 1 2
IIIA 1 0 0
Tab.1  Clinical characteristics of patients who underwent segmentectomy
Location Phase A Phase B Phase C P
Left upper lobe 10 7 15 0.766
S1+2+3 4 3 4
S4+5 3 2 3
S1+2/S1+2c/S3/S3+4+5 3 2 8
Left lower lobe 6 5 12 0.834
S6 3 3 6
S8+9+10 2 0 2
S8/S9+10 1 2 4
Right upper lobe 14 13 18 0.394
S1 3 5 5
S2 6 2 9
S3 4 5 2
S1+2/S2b+3a 1 1 2
Right middle lobe (S4) 0 2 0
Right lower lobe 9 6 11 0.059
S6 1 5 2
S7+8+9+10 3 0 4
S8/S7+8/S6+9+10/S9+10/S6+8+9+10 5 1 5
Tab.2  Type of totally thoracoscopic pulmonary segmentectomy
Variable Phase A Phase B Phase C P
Operative time (min) 217.2±58.9 187.0±39.9 158.7±35.9 0.000
Blood loss (mL) 51.2±27.8 37.4±24.9 24.6±33.6 0.000
Bronchoscope guide (n) 8 5 3 0.066
Conversion (n) 2 2 3 1
Length of hospital stay (d) 7.7±2.4 7.5±2.5 6.9±3.6 0.469
Retrieved lymph nodes (primary carcinoma) 8.8±5.1 8.1±5.3 7.7±6.6 0.676
Total morbidity (%) 6 (15.4%) 5 (15.2%) 7 (12.5%) 0.899
Air leakage>7 days (n) 2 2 2 0.875
Atrial fibrillation (n) 1 0 2 0.789
Pneumonia (n) 1 1 2 1
Hemoptysis>3 days (n) 2 2 1 0.603
Tab.3  Operative outcomes of segmentectomy
Variable Phase A vs. B (P) Phase B vs. C (P) Phase A vs. C (P)
Operative time 0.036 0.004 0.000
Blood loss 0.155 0.153 0.000
Tab.4  Post hoc test for operative time and blood loss
1 Churchill ED, Belsey R. Segmental pneumonectomy in bronchiectasis: the lingual segment of the left upper lobe. Ann Surg 1939; 109(4): 481–499
https://doi.org/10.1097/00000658-193904000-00001 pmid: 17857340
2 Schuchert MJ, Abbas G, Awais O, Pennathur A, Nason KS, Wilson DO, Siegfried JM, Luketich JD, Landreneau RJ. Anatomic segmentectomy for the solitary pulmonary nodule and early-stage lung cancer. Ann Thorac Surg 2012; 93(6): 1780–1787, discussion 1786–1787
https://doi.org/10.1016/j.athoracsur.2011.11.074 pmid: 22483652
3 Landreneau RJ, Normolle DP, Christie NA, Awais O, Wizorek JJ, Abbas G, Pennathur A, Shende M, Weksler B, Luketich JD, Schuchert MJ. Recurrence and survival outcomes after anatomic segmentectomy versus lobectomy for clinical stage I non-small-cell lung cancer: a propensity-matched analysis. J Clin Oncol 2014; 32(23): 2449–2455
https://doi.org/10.1200/JCO.2013.50.8762 pmid: 24982447
4 Okada M, Nishio W, Sakamoto T, Uchino K, Yuki T, Nakagawa A, Tsubota N. Effect of tumor size on prognosis in patients with non-small cell lung cancer: the role of segmentectomy as a type of lesser resection. J Thorac Cardiovasc Surg 2005; 129(1): 87–93
https://doi.org/10.1016/j.jtcvs.2004.04.030 pmid: 15632829
5 Yamashita S, Tokuishi K, Anami K, Moroga T, Miyawaki M, Chujo M, Yamamoto S, Kawahara K. Thoracoscopic segmentectomy for T1 classification of non-small cell lung cancer: a single center experience. Eur J Cardiothorac Surg 2012; 42(1): 83–88
https://doi.org/10.1093/ejcts/ezr254 pmid: 22228839
6 Harada H, Okada M, Sakamoto T, Matsuoka H, Tsubota N. Functional advantage after radical segmentectomy versus lobectomy for lung cancer. Ann Thorac Surg 2005; 80(6): 2041–2045
https://doi.org/10.1016/j.athoracsur.2005.06.010 pmid: 16305841
7 Yoshimoto K, Nomori H, Mori T, Ohba Y, Shibata H, Tashiro K, Shiraishi S, Kobayashi T. A segmentectomy of the right upper lobe has an advantage over a right upper lobectomy regarding the preservation of the functional volume of the right middle lobe: analysis by perfusion single-photon emission computed tomography/computed tomography. Surg Today 2010; 40(7): 614–619
https://doi.org/10.1007/s00595-009-4103-9 pmid: 20582511
8 Wisnivesky JP, Henschke CI, Swanson S, Yankelevitz DF, Zulueta J, Marcus S, Halm EA. Limited resection for the treatment of patients with stage IA lung cancer. Ann Surg 2010; 251(3): 550–554
https://doi.org/10.1097/SLA.0b013e3181c0e5f3 pmid: 20160639
9 Atkins BZ, Harpole DH Jr, Mangum JH, Toloza EM, D’Amico TA, Burfeind WR Jr. Pulmonary segmentectomy by thoracotomy or thoracoscopy: reduced hospital length of stay with a minimally-invasive approach. Ann Thorac Surg 2007; 84(4): 1107–1113
https://doi.org/10.1016/j.athoracsur.2007.05.013 pmid: 17888955
10 Schuchert MJ, Pettiford BL, Pennathur A, Abbas G, Awais O, Close J, Kilic A, Jack R, Landreneau JR, Landreneau JP, Wilson DO, Luketich JD, Landreneau RJ. Anatomic segmentectomy for stage I non-small-cell lung cancer: comparison of video-assisted thoracic surgery versus open approach. J Thorac Cardiovasc Surg 2009; 138(6): 1318–25.e1
https://doi.org/10.1016/j.jtcvs.2009.08.028 pmid: 19931665
11 Watanabe A, Ohori S, Nakashima S, Mawatari T, Inoue N, Kurimoto Y, Higami T. Feasibility of video-assisted thoracoscopic surgery segmentectomy for selected peripheral lung carcinomas. Eur J Cardiothorac Surg 2009; 35(5): 775–780, discussion 780
https://doi.org/10.1016/j.ejcts.2009.01.013 pmid: 19231231
12 Oizumi H, Kanauchi N, Kato H, Endoh M, Takeda S, Suzuki J, Fukaya K, Sadahiro M. Total thoracoscopic pulmonary segmentectomy. Eur J Cardiothorac Surg 2009; 36(2): 374–377, discussion 377
https://doi.org/10.1016/j.ejcts.2009.03.038 pmid: 19442531
13 Leshnower BG, Miller DL, Fernandez FG, Pickens A, Force SD. Video-assisted thoracoscopic surgery segmentectomy: a safe and effective procedure. Ann Thorac Surg 2010; 89(5): 1571–1576
https://doi.org/10.1016/j.athoracsur.2010.01.061 pmid: 20417779
14 Gossot D, Ramos R, Brian E, Raynaud C, Girard P, Strauss C. A totally thoracoscopic approach for pulmonary anatomic segmentectomies. Interact Cardiovasc Thorac Surg 2011; 12(4): 529–533
https://doi.org/10.1510/icvts.2010.257493 pmid: 21239448
15 Yang CF, D’Amico TA. Thoracoscopic segmentectomy for lung cancer. Ann Thorac Surg 2012; 94(2): 668–681
https://doi.org/10.1016/j.athoracsur.2012.03.080 pmid: 22748648
16 Oizumi H, Kanauchi N, Kato H, Endoh M, Suzuki J, Fukaya K, Sadahiro M. Anatomic thoracoscopic pulmonary segmentectomy under 3-dimensional multidetector computed tomography simulation: a report of 52 consecutive cases. J Thorac Cardiovasc Surg 2011; 141(3): 678–682
https://doi.org/10.1016/j.jtcvs.2010.08.027 pmid: 20884021
17 Bokhari MB, Patel CB, Ramos-Valadez DI, Ragupathi M, Haas EM. Learning curve for robotic-assisted laparoscopic colorectal surgery. Surg Endosc 2011; 25(3): 855–860
https://doi.org/10.1007/s00464-010-1281-x pmid: 20734081
18 Liao HJ, Dong C, Kong FJ, Zhang ZP, Huang P, Chang S. The CUSUM analysis of the learning curve for endoscopic thyroidectomy by the breast approach. Surg Innov 2014; 21(2): 221–228
https://doi.org/10.1177/1553350613500722 pmid: 23965590
19 McKenna RJ Jr. Complications and learning curves for video-assisted thoracic surgery lobectomy. Thorac Surg Clin 2008; 18(3): 275–280
https://doi.org/10.1016/j.thorsurg.2008.04.004 pmid: 18831503
20 Zhao H, Bu L, Yang F, Li J, Li Y, Wang J. Video-assisted thoracoscopic surgery lobectomy for lung cancer: the learning curve. World J Surg 2010; 34(10): 2368–2372
https://doi.org/10.1007/s00268-010-0661-7 pmid: 20567972
21 Meyer M, Gharagozloo F, Tempesta B, Margolis M, Strother E, Christenson D. The learning curve of robotic lobectomy. Int J Med Robot 2012; 8(4): 448–452
https://doi.org/10.1002/rcs.1455 pmid: 22991294
22 Guo W, Zou YB, Ma Z, Niu HJ, Jiang YG, Zhao YP, Gong TQ, Wang RW. One surgeon’s learning curve for video-assisted thoracoscopic esophagectomy for esophageal cancer with the patient in lateral position: how many cases are needed to reach competence? Surg Endosc 2013; 27(4): 1346–1352
https://doi.org/10.1007/s00464-012-2614-8 pmid: 23093242
23 Williams SM, Parry BR, Schlup MM. Quality control: an application of the cusum. BMJ 1992; 304(6838): 1359–1361
https://doi.org/10.1136/bmj.304.6838.1359 pmid: 1611337
24 Mawatari T, Murakami G, Koshino T, Morishita K, Abe T. Posterior pulmonary lobe: segmental and vascular anatomy in human specimens. Clin Anat 2000; 13(4): 257–262
https://doi.org/10.1002/1098-2353(2000)13:4<257::AID-CA5>3.0.CO;2-5 pmid: 10873217
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[1] Min ZHU, Xiang-Ning FU, Xiao-Ping CHEN. Lobectomy by video-assisted thoracoscopic surgery (VATS) for early stage of non-small cell lung cancer[J]. Front Med, 2011, 5(1): 53-60.
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