|
[1]
|
Kimura, T., Omura, A., Tanaka, R., Hiroshima, T., Maniwa, T. and Okami, J. (2021) Dealing with Pleural Adhesion in Video-assisted Thoracoscopic Surgery. Kyobu Geka, 74, 488-491. https://pubmed.ncbi.nlm.nih.gov/34193781/
|
|
[2]
|
Kobayashi, N., Kawamura, T., Yanagihara, T., et al. (2021) Influence of Pleural Adhesions on Thoracoscopic Surgeries for Malignant Lung Tumors. Kyobu Geka, 74, 509-513. https://pubmed.ncbi.nlm.nih.gov/34193785/
|
|
[3]
|
Mizuno, K. and Muto, M. (2021) Preoperative Evaluation of Pleural Adhesion in Patients with Lung Tumors Using Four-Dimensional Computed Tomography Performed during Natural Breathing. Medicine, 100, e27800. [Google Scholar] [CrossRef] [PubMed]
|
|
[4]
|
Messina, G., Bove, M., Noro, A., Opromolla, G., Natale, G., Leone, F., et al. (2022) Prediction of Preoperative Intrathoracic Adhesions for Ipsilateral Reoperations: Sliding Lung Sign. Journal of Cardiothoracic Surgery, 17, Article No. 103. [Google Scholar] [CrossRef] [PubMed]
|
|
[5]
|
Zhang, Z., Zhang, Y., Zhang, J. and Su, P. (2023) Analysis of Factors Affecting Intraoperative Conversion from Thoracoscopic Radical Resection of Lung Cancer to Thoracotomy and Intraoperative Management Experience. Pakistan Journal of Medical Sciences, 39, 1389-1393. [Google Scholar] [CrossRef] [PubMed]
|
|
[6]
|
Liu, T., Feng, J. and Liu, X. (2023) Risk Factors for Extensive Subcutaneous Emphysema after Pulmonary Resection by Video-Assisted Thoracoscopic Surgery: A Case-Control Study. Videosurgery and Other Miniinvasive Techniques, 18, 516-523. [Google Scholar] [CrossRef] [PubMed]
|
|
[7]
|
Pischik, V.G., Maslak, O.S., Obornev, A.D., Zinchenko, E.I. and Kovalenko, A.I. (2019) Risk Factors and Outcomes of Prolonged Air Leak after Pulmonary Resections. Indian Journal of Thoracic and Cardiovascular Surgery, 35, 564-568. [Google Scholar] [CrossRef] [PubMed]
|
|
[8]
|
Watanabe, T., Suzuki, E., Yoshii, N., Tsuchida, H., Yobita, S., Uchiyama, S., et al. (2023) Preoperative Detection of Pleural Adhesions Using Dynamic Chest Radiography: Prospective Analysis. Journal of Thoracic Disease, 15, 1096-1105. [Google Scholar] [CrossRef] [PubMed]
|
|
[9]
|
Mori, S., Shibazaki, T., Harada, E., Shigemori, R., Kato, D., Matsudaira, H., et al. (2021) Complete Pleural Symphysis Is Predicted by a Blunted Costophrenic Angle. General Thoracic and Cardiovascular Surgery, 69, 497-503. [Google Scholar] [CrossRef] [PubMed]
|
|
[10]
|
Tanaka, R., Inoue, D., Izumozaki, A., Takata, M., Yoshida, S., Saito, D., et al. (2022) Preoperative Evaluation of Pleural Adhesions with Dynamic Chest Radiography: A Retrospective Study of 146 Patients with Lung Cancer. Clinical Radiology, 77, e689-e696. [Google Scholar] [CrossRef] [PubMed]
|
|
[11]
|
Nagatani, Y., Hashimoto, M., Oshio, Y., Sato, S., Hanaoka, J., Fukunaga, K., et al. (2020) Preoperative Assessment of Localized Pleural Adhesion: Utility of Software-Assisted Analysis on Dynamic-Ventilation Computed Tomography. European Journal of Radiology, 133, Article 109347. [Google Scholar] [CrossRef] [PubMed]
|
|
[12]
|
Kawamura, T., Kobayashi, N., Yanagihara, T., Goto, Y., Ichimura, H. and Sato, Y. (2025) An Increase in Micro-Vessels beneath the Pleural Surface on Computed Tomography as a Preoperative Predictor of Pleural Adhesions: A Prospective Study. Surgery Today, 55, 1198-1204. [Google Scholar] [CrossRef] [PubMed]
|
|
[13]
|
Sano, A., Hiranuma, A. and Nagashima, M. (2021) Preoperative Detection of Pleural Adhesions Using Pocket-Sized Ultrasound. Asian Cardiovascular and Thoracic Annals, 29, 400-404. [Google Scholar] [CrossRef] [PubMed]
|
|
[14]
|
Shiroshita, A., Nakashima, K., Takeshita, M. and Kataoka, Y. (2021) Preoperative Lung Ultrasound to Detect Pleural Adhesions: A Systematic Review and Meta-Analysis. Cureus, 13, e14866. [Google Scholar] [CrossRef] [PubMed]
|
|
[15]
|
Tacconi, F., Chegai, F., Perretta, T. and Ambrogi, V. (2021) Real-Time Pleural Elastography: Potential Usefulness in Nonintubated Video-Assisted Thoracic Surgery. Journal of Chest Surgery, 54, 433-435. [Google Scholar] [CrossRef] [PubMed]
|
|
[16]
|
Volpicelli, G., Elbarbary, M., Blaivas, M., Lichtenstein, D.A., Mathis, G., Kirkpatrick, A.W., et al. (2012) International Evidence-Based Recommendations for Point-of-Care Lung Ultrasound. Intensive Care Medicine, 38, 577-591. [Google Scholar] [CrossRef] [PubMed]
|
|
[17]
|
Roy, S., Menapace, W., Oei, S., Luijten, B., Fini, E., Saltori, C., et al. (2020) Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound. IEEE Transactions on Medical Imaging, 39, 2676-2687. [Google Scholar] [CrossRef] [PubMed]
|
|
[18]
|
Watanabe, T., Tanahashi, M., Suzuki, E., Yoshii, N., Kohama, T., Iguchi, K., et al. (2025) The Utility of the Low Motion Area Ratio for the Preoperative Detection of Pleural Adhesions: Dynamic Chest Radiography Analysis. Quantitative Imaging in Medicine and Surgery, 15, 843-851. [Google Scholar] [CrossRef] [PubMed]
|
|
[19]
|
Huang, S., Guo, R., Yuan, X., Tang, X., Liu, T., Xie, Q., et al. (2022) Evaluation of Connective Tissue Disease-Related Interstitial Lung Disease Using Ultrasound Elastography: A Preliminary Study. Quantitative Imaging in Medicine and Surgery, 12, 3778-3791. [Google Scholar] [CrossRef] [PubMed]
|