Bibliographic Details
| Title: |
Preoperative detection of pleural adhesions by respiratory dynamic computed tomography |
| Authors: |
Junko Tokuno, Tsuyoshi Shoji, Ryota Sumitomo, Yuichiro Ueda, Keiji Yamanashi, Cheng-long Huang |
| Source: |
World Journal of Surgical Oncology, Vol 15, Iss 1, Pp 1-7 (2017) |
| Publisher Information: |
BMC, 2017. |
| Publication Year: |
2017 |
| Collection: |
LCC:Surgery
LCC:Neoplasms. Tumors. Oncology. Including cancer and carcinogens |
| Subject Terms: |
Pleural adhesion, Dynamic CT, Preoperative evaluation, VATS, Surgery, RD1-811, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282 |
| More Details: |
Abstract Background Video-assisted thoracic surgery (VATS) plays an important role in thoracic surgery because it is less invasive. However, the existence of severe pleural adhesions may make VATS difficult and complicated. The aim of this study was to assess the utility of inspiration and expiration computed tomography (respiratory dynamic CT (RD-CT)) in evaluation of pleural adhesions preoperatively. Methods RD-CT was performed on 107 patients undergoing thoracotomies (both VATS and open). We assessed synchronous motion during respiration on RD-CT. Comparing the results of RD-CT and intraoperative findings, we assessed the utility of preoperative evaluation. Results A negative correlation between sliding score and adhesion grade was revealed. Sliding score in adhesion negative patients was significantly higher than that in adhesion positive patients (P |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
1477-7819 |
| Relation: |
http://link.springer.com/article/10.1186/s12957-017-1280-7; https://doaj.org/toc/1477-7819 |
| DOI: |
10.1186/s12957-017-1280-7 |
| Access URL: |
https://doaj.org/article/c98d8d6cadb944d1bbffbe3bb3cb4431 |
| Accession Number: |
edsdoj.98d8d6cadb944d1bbffbe3bb3cb4431 |
| Database: |
Directory of Open Access Journals |
