PMID- 29901530
OWN - NLM
STAT- MEDLINE
DCOM- 20181211
LR  - 20181211
IS  - 1948-8270 (Electronic)
IS  - 1948-8270 (Linking)
VI  - 25
IP  - 4
DP  - 2018 Oct
TI  - The Direct Oblique Method: A New Gold Standard for Bronchoscopic Navigation That 
      is Superior to Automatic Methods.
PG  - 305-314
LID - 10.1097/LBR.0000000000000512 [doi]
AB  - BACKGROUND: The purpose of this study was to identify bronchi on computed 
      tomographic (CT) images, manual analysis is more accurate than automatic methods. 
      Nonetheless, manual bronchoscopic navigation is not preferred as it involves 
      mentally reconstructing a route to a bronchial target by interpreting 
      2-dimensional CT images. Here, we established the direct oblique method (DOM), a 
      form of manual bronchoscopic navigation that does not necessitate mental 
      reconstruction, and compared it with automatic virtual bronchoscopic navigation 
      (VBN). METHODS: Routes were calculated to 47 identical targets using 2 automatic 
      VBNs (LungPoint and VINCENT-BFsim) and the DOM, using 3 general application CT 
      viewers (Aquarius, Synapse Vincent, and OsiriX). Results of all analyses were 
      compared. RESULTS: The DOM drew routes to more targets than the VBNs [94% (the 
      DOM on any viewer) vs. 49% (LungPoint) vs. 62% (VINCENT-BFsim), P<0.0001]. For 
      the 44 targets with the CT-bronchus or CT-artery signs, 100% of the DOM routes 
      led to targets. In the bronchoscopic simulation phase, the DOM covered 100% of 
      the bifurcations identified on CT, whereas some bifurcations were skipped and 
      some bronchial walls appeared partially transparent in the VBNs. Manual analysis 
      identified more bronchi near the targets than the VBNs [32.1+/-3.4 (manual 
      analysis) vs.18.9+/-2.1 (LungPoint) vs. 22.9+/-2.7 (VINCENT-BFsim), mean+/-SEM, 
      P<0.0001]. The DOM took around 5 minutes on average. CONCLUSION: On the basis of 
      precise manual CT analysis using general application CT viewers, the DOM drew 
      routes leading to more targets and provided better bronchoscopic simulation than 
      the automatic route calculation of the VBNs.
FAU - Miyake, Kotaro
AU  - Miyake K
AD  - Department of Respiratory Medicine and Clinical Immunology, Osaka University 
      Graduate School of Medicine.
FAU - Morimura, Osamu
AU  - Morimura O
AD  - Department of Respiratory Medicine and Clinical Immunology, Osaka University 
      Graduate School of Medicine.
FAU - Inoue, Takako
AU  - Inoue T
AD  - Department of Respiratory Medicine, Osaka International Cancer Institute, Osaka.
FAU - Yoshida, Kenya
AU  - Yoshida K
AD  - Department of Respiratory Medicine, Nishichita General Hospital, Aichi, Japan.
FAU - Nagatomo, Izumi
AU  - Nagatomo I
AD  - Department of Respiratory Medicine and Clinical Immunology, Osaka University 
      Graduate School of Medicine.
FAU - Kijima, Takashi
AU  - Kijima T
AD  - Department of Respiratory Medicine and Clinical Immunology, Osaka University 
      Graduate School of Medicine.
FAU - Kumanogoh, Atsushi
AU  - Kumanogoh A
AD  - Department of Respiratory Medicine and Clinical Immunology, Osaka University 
      Graduate School of Medicine.
LA  - eng
PT  - Comparative Study
PT  - Journal Article
PL  - United States
TA  - J Bronchology Interv Pulmonol
JT  - Journal of bronchology & interventional pulmonology
JID - 101496866
SB  - IM
MH  - Aged
MH  - Bronchi/*diagnostic imaging
MH  - Bronchoscopy/*methods/trends
MH  - Computer Simulation
MH  - Female
MH  - Humans
MH  - Lung/anatomy & histology/*diagnostic imaging/pathology
MH  - Lung Neoplasms/*diagnostic imaging/pathology
MH  - Male
MH  - Middle Aged
MH  - Retrospective Studies
MH  - Tomography, X-Ray Computed/methods
EDAT- 2018/06/15 06:00
MHDA- 2018/12/12 06:00
CRDT- 2018/06/15 06:00
PHST- 2018/06/15 06:00 [pubmed]
PHST- 2018/12/12 06:00 [medline]
PHST- 2018/06/15 06:00 [entrez]
AID - 10.1097/LBR.0000000000000512 [doi]
PST - ppublish
SO  - J Bronchology Interv Pulmonol. 2018 Oct;25(4):305-314. doi: 
      10.1097/LBR.0000000000000512.