scholarly journals Use of Autofluorescence to Intraoperatively Diagnose Visceral Pleural Invasion From Frozen Sections in Patients With Lung Adenocarcinoma 2 cm or Less

2019 ◽  
Vol 152 (5) ◽  
pp. 608-615
Author(s):  
Huikang Xie ◽  
Hang Su ◽  
Donglai Chen ◽  
Dong Xie ◽  
Chenyang Dai ◽  
...  

Abstract Objectives We prospectively investigate the accuracy of frozen sections for diagnosing visceral pleural invasion (VPI) by autofluorescence and evaluated its usefulness in sublobar resection. Methods We included patients with lung adenocarcinoma 2 cm or less to evaluate the diagnostic performance of autofluorescence for VPI in frozen sections via a fluorescence microscope. Furthermore, the impact of VPI on patients treated with sublobar resection was assessed in another cohort. Results A total of 112 patients were enrolled. The accuracy, sensitivity, and specificity of autofluorescence for VPI diagnosis was 95.5%, 86.8%, and 100%, respectively. Sublobar resection was an independent risk factor for recurrence in patients with lung adenocarcinomas 2 cm or less with VPI positivity (hazard ratio, 3.30; P = .023), whereas it was not in those with VPI negativity. Conclusions Using autofluorescence in frozen sections appears to be an accurate method for diagnosing VPI, which is helpful for surgical decision making.

2016 ◽  
Vol 66 (02) ◽  
pp. 150-155 ◽  
Author(s):  
Yangki Seok ◽  
Eungbae Lee

Background This study analyzed the impact of visceral pleural invasion (VPI) on the disease-free survival (DFS) of patients with partly solid pulmonary adenocarcinoma sized 30 mm or smaller. Method This is a retrospective study of 147 patients with surgically resected pathologic N0 pulmonary adenocarcinoma that had a partly solid appearance on preoperative computed tomography. All patients presented with tumors of size 30 mm or smaller. The DFS rate was estimated using Kaplan–Meier method. A multivariate analysis for prognostic factors was performed using the Cox proportional hazards regression model. Results VPI was found in 36 patients. The 5-year DFS in 111 patients without VPI (97.6%) was significantly higher than that in 36 patients with VPI (63%) (p < 0.0001). Univariate analysis revealed three significant poor prognostic predictors: the presence of VPI, the presence of lymphovascular invasion, and the size of the solid component on computed tomography (>20, ≤30 mm). According to the multivariate analysis, VPI was found to be a significant poor prognostic predictor (hazard ratio for DFS = 7.31, 95% confidence interval = 1.444–37.014, p = 0.016). Conclusion VPI is a significant predictor of poor prognosis for small-sized (≤30 mm) partly solid lung adenocarcinoma. Therefore, upstaging of the T factor from T1 to T2 on the basis of VPI as described by the TNM staging system is mandatory regardless of ground-glass opacity in small lung adenocarcinoma.


2017 ◽  
Vol 103 (4) ◽  
pp. 1126-1131 ◽  
Author(s):  
Dhihintia Jiwangga ◽  
Sukki Cho ◽  
Kwhanmien Kim ◽  
Sanghoon Jheon

CHEST Journal ◽  
2013 ◽  
Vol 144 (5) ◽  
pp. 1622-1631 ◽  
Author(s):  
Jun-ichi Nitadori ◽  
Christos Colovos ◽  
Kyuichi Kadota ◽  
Camelia S. Sima ◽  
Inderpal S. Sarkaria ◽  
...  

CHEST Journal ◽  
2015 ◽  
Vol 148 (4) ◽  
pp. 903-911 ◽  
Author(s):  
Long Jiang ◽  
Wenhua Liang ◽  
Jianfei Shen ◽  
Xiaofang Chen ◽  
Xiaoshun Shi ◽  
...  

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