Clinical application of preserving spontaneous breathing non‐intubation anesthesia in thoracoscopic surgery for lung cancer under ERAS concept

Author(s):  
Longzhou Qi ◽  
Ke Chen ◽  
Bin Luo ◽  
Guocai Mao ◽  
Liangbin Pan ◽  
...  
2020 ◽  
pp. 026921552098013
Author(s):  
Jui-Fang Liu ◽  
Nai-Ying Kuo ◽  
Teng-Pei Fang ◽  
Jui-O Chen ◽  
Hung-I Lu ◽  
...  

Objective: To compare the postoperative outcomes of inspiratory muscle training and aerobic exercise, along with standard care, on lung cancer patients undergoing video-assisted thoracoscopic surgery (VATS). Design: A parallel-group, single-blind randomized clinical trial Setting: Thoracic surgery ward and outpatient clinic in a teaching hospital Subjects: Overall 63 patients underwent VATS were randomly assigned to a triaging (TG, n = 32) or control group (CG, n = 31). A total of 54 patients (TG, n = 26; CG, n = 28) completed the study. Intervention: TG: six-week threshold inspiratory muscle training and aerobic exercise. CG: standard care. Main measures: Maximum inspiratory pressure (PImax), maximum expiratory pressure (PEmax) lung expansion volume, and 6-min walking test (6MWT) were performed on the day of chest tube removal (baseline), and 2, 6, and 12 weeks postoperatively. Results: The TG showed significant improvement in PImax at week 6 (71.6 ± 34.9 vs. 94.3 ± 32.8 cmH2O, P = 0.018), PEmax at week 2 (70.9 ± 24.3 vs. 90.9 ± 28.2 cmH2O, P = 0.015) and week 12 (76.1 ± 20.2 vs. 98.6 ± 35.3 cmH2O, P = 0.012), the lung expansion volume at week 2 (1080 ± 433 vs 1457 ± 624 mL, P = 0.02) and week 12 (1200 ± 387 vs 1885 ± 678 mL, P < 0.001), in addition to the 6MWT at week 2 (332 ± 78 vs 412 ± 74 m, P = 0.002), week 6 (360 ± 70 vs 419 ± 60 m, P = 0.007) and week 12 (360 ± 58 vs 402 ± 65 m, P = 0.036). Conclusion: A six weeks of inspiratory muscle training and aerobic exercise had improved respiratory muscle strength and aerobic exercise postoperatively in lung cancer patients after VATS as early as 2 weeks.


2016 ◽  
Vol 16 (2) ◽  
pp. 224-230
Author(s):  
Scott R. Silva ◽  
Murat Surucu ◽  
Jennifer Steber ◽  
Matthew M. Harkenrider ◽  
Mehee Choi

Objective: Radiation treatment planning for locally advanced lung cancer can be technically challenging, as delivery of ≥60 Gy to large volumes with concurrent chemotherapy is often associated with significant risk of normal tissue toxicity. We clinically implemented a novel hybrid RapidArc technique in patients with lung cancer and compared these plans with 3-dimensional conformal radiotherapy and RapidArc-only plans. Materials/Methods: Hybrid RapidArc was used to treat 11 patients with locally advanced lung cancer having bulky mediastinal adenopathy. All 11 patients received concurrent chemotherapy. All underwent a 4-dimensional computed tomography planning scan. Hybrid RapidArc plans concurrently combined static (60%) and RapidArc (40%) beams. All cases were replanned using 3- to 5-field 3-dimensional conformal radiotherapy and RapidArc technique as controls. Results: Significant reductions in dose were observed in hybrid RapidArc plans compared to 3-dimensional conformal radiotherapy plans for total lung V20 and mean (−2% and −0.6 Gy); contralateral lung mean (−2.92 Gy); and esophagus V60 and mean (−16.0% and −2.2 Gy; all P < .05). Contralateral lung doses were significantly lower for hybrid RapidArc plans compared to RapidArc-only plans (all P < .05). Compared to 3-dimensional conformal radiotherapy, heart V60 and mean dose were significantly improved with hybrid RapidArc (3% vs 5%, P = .04 and 16.32 Gy vs 16.65 Gy, P = .03). However, heart V40 and V45 and maximum spinal cord dose were significantly lower with RapidArc plans compared to hybrid RapidArc plans. Conformity and homogeneity were significantly better with hybrid RapidArc plans compared to 3-dimensional conformal radiotherapy plans ( P < .05). Treatment was well tolerated, with no grade 3+ toxicities. Conclusion: To our knowledge, this is the first report on the clinical application of hybrid RapidArc in patients with locally advanced lung cancer. Hybrid RapidArc permitted safe delivery of 60 to 66 Gy to large lung tumors with concurrent chemotherapy and demonstrated advantages for reduction in low-dose lung volumes, esophageal dose, and mean heart dose.


Diagnostics ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 421
Author(s):  
Luis Vicente Gayosso-Gómez ◽  
Blanca Ortiz-Quintero

The identification of circulating microRNAs (miRNAs) in peripheral blood and other body fluids has led to considerable research interest in investigating their potential clinical application as non-invasive biomarkers of cancer, including lung cancer, the deadliest malignancy worldwide. Several studies have found that alterations in the levels of miRNAs in circulation are able to discriminate lung cancer patients from healthy individuals (diagnosis) and are associated with patient outcome (prognosis) and treatment response (prediction). Increasing evidence indicates that circulating miRNAs may function as mediators of cell-to-cell communication, affecting biological processes associated with tumor initiation and progression. This review is focused on the most recent studies that provide evidence of the potential value of circulating miRNAs in blood and other body fluids as non-invasive biomarkers of lung cancer in terms of diagnosis, prognosis, and response to treatment. The status of their potential clinical application in lung cancer is also discussed, and relevant clinical trials were sought and are described. Because of the relevance of their biological characteristics and potential value as biomarkers, this review provides an overview of the canonical biogenesis, release mechanisms, and biological role of miRNAs in lung cancer.


2001 ◽  
Vol 15 (8) ◽  
pp. 849-853 ◽  
Author(s):  
J. Nakajima ◽  
S. Takamoto ◽  
M. Tanaka ◽  
E. Takeuchi ◽  
T. Murakawa ◽  
...  

2020 ◽  
Vol 133 (24) ◽  
pp. 2987-2997
Author(s):  
Xiao-Lin Su ◽  
Jiang-Wei Wang ◽  
Hui Che ◽  
Chang-Fu Wang ◽  
Hai Jiang ◽  
...  

2020 ◽  
Vol 34 (7) ◽  
pp. 678-681
Author(s):  
Nahoko Shimizu ◽  
Yugo Tanaka ◽  
Shuto Sakai ◽  
Sanae Kuroda ◽  
Akito Hata ◽  
...  

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