ABSTRACT
Background: There are no standard guidelines regarding the number and size of chest tubes that should be selected after thoracic surgery. This study aimed to evaluate the effects of adopting a drainage strategy with bi-pigtail catheters (BPCs) on patients undergoing lobectomy by uniportal video-assisted thoracic surgery (VATS). Methods: A retrospective study was performed of patients undergoing uniportal lobectomy at the Department of Thoracic Surgery of the Cancer Hospital of Dalian University of Technology between August 2021 and August 2022. The patients were divided into the following two groups according to the drainage strategy adopted: (I) a traditional chest tube (TCT) group; and (II) a BPC group. The outcomes measured included postoperative complications, as measured by the Clavien-Dindo method, and the visual analogue scale (VAS) pain scores of the patients after surgery. Results: In total, 868 patients underwent lung resection during the study period, after exclusion, the data of 470 patients who underwent uniport lobectomy were reviewed (235 in the TCT group, and 235 in the BPC group). There were no statistically significant differences between the two groups in terms of baseline data (P>0.05). The incidence of postoperative complications (7.7% vs. 19.1%) and postoperative VAS pain scores at 7-24 hours (3.3±1.0 vs. 3.7±1.5) and 25-48 hours (3.1±0.8 vs. 3.6±1.5) were significantly lower in the BPC group than the TCT group (all P<0.001). Additionally, the postoperative length of stay (4.6±1.5 vs. 5.4±4.5 days) and the collapse rate of the residual lung (19.2%±9.1% vs. 20.9%±9.6%) of the BPC group were better than those of the TCT group (P<0.05). The results of univariable and multivariable analyses showed that a drainage strategy with a TCT was an independent risk factor for decreased postoperative complications, and reduced moderate or severe pain scores at 7-24 and 25-48 hours after surgery. Conclusions: Our drainage strategy with BPCs decreased the incidence of postoperative complications and alleviated the postoperative pain of patients undergoing lobectomy by uniportal VATS and is safe and feasible.
ABSTRACT
BACKGROUND: Mediastinal neoplasms are typical thoracic diseases with increasing incidence in the general global population and can lead to poor prognosis. In clinical practice, the mediastinum's complex anatomic structures and intertype confusion among different mediastinal neoplasm pathologies severely hinder accurate diagnosis. To solve these difficulties, we organised a multicentre national collaboration on the basis of privacy-secured federated learning and developed CAIMEN, an efficient chest CT-based artificial intelligence (AI) mediastinal neoplasm diagnosis system. METHODS: In this multicentre cohort study, 7825 mediastinal neoplasm cases and 796 normal controls were collected from 24 centres in China to develop CAIMEN. We further enhanced CAIMEN with several novel algorithms in a multiview, knowledge-transferred, multilevel decision-making pattern. CAIMEN was tested by internal (929 cases at 15 centres), external (1216 cases at five centres and a real-world cohort of 11â162 cases), and human-AI (60 positive cases from four centres and radiologists from 15 institutions) test sets to evaluate its detection, segmentation, and classification performance. FINDINGS: In the external test experiments, the area under the receiver operating characteristic curve for detecting mediastinal neoplasms of CAIMEN was 0·973 (95% CI 0·969-0·977). In the real-world cohort, CAIMEN detected 13 false-negative cases confirmed by radiologists. The dice score for segmenting mediastinal neoplasms of CAIMEN was 0·765 (0·738-0·792). The mediastinal neoplasm classification top-1 and top-3 accuracy of CAIMEN were 0·523 (0·497-0·554) and 0·799 (0·778-0·822), respectively. In the human-AI test experiments, CAIMEN outperformed clinicians with top-1 and top-3 accuracy of 0·500 (0·383-0·633) and 0·800 (0·700-0·900), respectively. Meanwhile, with assistance from the computer aided diagnosis software based on CAIMEN, the 46 clinicians improved their average top-1 accuracy by 19·1% (0·345-0·411) and top-3 accuracy by 13·0% (0·545-0·616). INTERPRETATION: For mediastinal neoplasms, CAIMEN can produce high diagnostic accuracy and assist the diagnosis of human experts, showing its potential for clinical practice. FUNDING: National Key R&D Program of China, National Natural Science Foundation of China, and Beijing Natural Science Foundation.
Subject(s)
Mediastinal Neoplasms , Humans , Mediastinal Neoplasms/diagnosis , Mediastinum , Artificial Intelligence , Cohort Studies , Diagnosis, Computer-AssistedABSTRACT
Video-assisted thoracoscopic surgery (VATS) lobectomy, especially uniportal VATS, is increasingly used for pulmonary sequestration (PS). However, there are few descriptions of safe handling of the aberrant artery with atherosclerosis, especially the diameter of arteries exceeds than 2.0 cm, under uniportal VATS approach. Here we report a 56-year-old man who was diagnosed with pulmonary sequestration following trauma. The patient had a long history of cough with purulent sputum. One month before the trauma, he had copious expectoration with foul smell again. A contrast CT scan revealed a 7.5 cm mass in his right lower lobe. The mass was supplied by a thick aberrant atherosclerotic artery (over than 2 cm in diameter), which stemmed from the thoracic aorta with multiple calcifications on both. After adequate preoperative evaluation, we performed a right lower lobectomy under uniportal VATS approach. No surgical-associated complications occurred, and the patient was discharged on the 5th days after the operation. We organized an iMDT (international multidisciplinary team) to discuss the reasonability and optimal treatment pattern for this patient. We found that fully assess the quality of the aberrant arteries of PS following blocking and cutting off in an appropriate way are crucial to avoid the happening of fatal bleeding during the operation.
ABSTRACT
BACKGROUND: Evaluate the effect of enhanced recovery after surgery (ERAS) protocol on postoperative recovery quality of pectus excavatum patients with Nuss procedure. METHODS: A retrospective study was performed on patients undergoing Nuss procedure from the Department of Thoracic Surgery of The Cancer Hospital of China Medical University between September 2016 and September 2019. Patients were divided into 2 groups by perioperative management: the traditional procedure group (T group) and the ERAS strategy group (E group). The outcome measures were postoperative drainage time, postoperative hospital time, and postoperative complications measured by the Clavien-Dindo method. RESULTS: Of the 168 patients from this time period, 148 met the inclusion criteria (75 in Group T and 73 in Group E). All operations involved in this study were completed successfully. There was no statistical difference between the 2 groups with respect to baseline demographics (P>0.05). In Group E, postoperative drainage time (2.53±0.72 vs. 3.45±2.07 days) and postoperative hospitalization time (4.96±1.48 vs. 7.71±7.78 days) were statistically significantly better than those in Group T (P<0.05). There was no difference in overall postoperative complications as measured by Clavien-Dindo score. CONCLUSIONS: The measures of no indwelling urinary catheter (IDUC), laryngeal mask anesthesia, and indwelling tubule drainage can improve postoperative recovery quality of pectus excavatum patients following Nuss procedure.