scholarly journals Conversion risk factors in laparoscopic colorectal surgery

2012 ◽  
Vol 4 ◽  
pp. 240-245 ◽  
Author(s):  
Marcela Rabasová ◽  
Lubomír Martínek
2004 ◽  
Vol 47 (10) ◽  
pp. 1686-1693 ◽  
Author(s):  
Andrea Vignali ◽  
Marco Braga ◽  
Walter Zuliani ◽  
Matteo Frasson ◽  
Giovanni Radaelli ◽  
...  

2020 ◽  
Author(s):  
Xueyan Li ◽  
Genshan Ma ◽  
Xiaobo Qian ◽  
Yamou Wu ◽  
Xiaochen Huang ◽  
...  

Abstract Background: We aimed to assess the performance of machine learning algorithms for the prediction of risk factors of postoperative ileus (POI) in patients underwent laparoscopic colorectal surgery for malignant lesions. Methods: We conducted analyses in a retrospective observational study with a total of 637 patients at Suzhou Hospital of Nanjing Medical University. Four machine learning algorithms (logistic regression, decision tree, random forest, gradient boosting decision tree) were considered to predict risk factors of POI. The total cases were randomly divided into training and testing data sets, with a ratio of 8:2. The performance of each model was evaluated by area under receiver operator characteristic curve (AUC), precision, recall and F1-score. Results: The morbidity of POI in this study was 19.15% (122/637). Gradient boosting decision tree reached the highest AUC (0.76) and was the best model for POI risk prediction. In addition, the results of the importance matrix of gradient boosting decision tree showed that the five most important variables were time to first passage of flatus, opioids during POD3, duration of surgery, height and weight. Conclusions: The gradient boosting decision tree was the optimal model to predict the risk of POI in patients underwent laparoscopic colorectal surgery for malignant lesions. And the results of our study could be useful for clinical guidelines in POI risk prediction.


2013 ◽  
Vol 27 (12) ◽  
pp. 4574-4580 ◽  
Author(s):  
Joseph Drosdeck ◽  
Alan Harzman ◽  
Andrew Suzo ◽  
Mark Arnold ◽  
Mahmoud Abdel-Rasoul ◽  
...  

2009 ◽  
Vol 23 (9) ◽  
pp. 2016-2025 ◽  
Author(s):  
Th. C. Böttger ◽  
S. Hermeneit ◽  
M. Müller ◽  
A. Terzic ◽  
A. Rodehorst ◽  
...  

2015 ◽  
Vol 32 (10) ◽  
pp. 712-717 ◽  
Author(s):  
Jean L. Joris ◽  
Mathieu J. Georges ◽  
Kamel Medjahed ◽  
Didier Ledoux ◽  
Gaëlle Damilot ◽  
...  

2013 ◽  
Vol 144 (5) ◽  
pp. S-1113
Author(s):  
Udo Kronberg ◽  
Vivian Parada ◽  
Alejandro J. Zarate ◽  
Magdalena Castro ◽  
Valentina Salvador ◽  
...  

2019 ◽  
Vol 104 (9-10) ◽  
pp. 439-445
Author(s):  
Hidekazu Takahashi ◽  
Nobuo Tanaka ◽  
Osamu Takayama ◽  
Masashi Baba ◽  
Masaru Murata ◽  
...  

The objectives of this study are to clarify the significance of persistent descending mesocolon (PDM), a kind of intestinal malrotation, in laparoscopic colorectal surgery and present potentially useful preoperative diagnostic methods for PDM. Although several risk factors for laparoscopic colorectal surgery have been convincingly reported, the impact of PDM on laparoscopic surgery for colorectal cancer remains less studied. This was an observational study with a retrospective analysis. A consecutive 110 patients undergoing laparoscopic colorectal surgery for colorectal cancer were included. To identify risk factors for operative time of laparoscopic surgery for colorectal cancer, we examined age, sex, body mass index, American Society of Anesthesiologists Performance Status score, tumor location, depth of tumor invasion, lymph node metastasis, and PDM as potential risk factors. For identification of appropriate preoperative diagnostic imaging, we reviewed three-dimensional vessel images reconstructed from computed tomographic slice data of all patients. During the study period, no effective pre- or intraoperative diagnoses of PDM were achieved. A total of 4 patients were diagnosed with PDM. Sex (P = 0.0032); tumor location (P = 0.0044); lymph node metastasis (P = 0.022); and PDM (P = 0.0007) were identified as risk factors based on multivariate analysis. A ventrally branched left colic artery visualized by three-dimensional imaging appeared to be a highly specific feature of PDM. Laparoscopic surgery for colorectal cancer with PDM was difficult without the recognition of PDM. PDM was well-defined preoperatively using three-dimensional vessels images reconstructed from computed tomographic slice data.


2019 ◽  
Vol 3 (2) ◽  
pp. 202-208 ◽  
Author(s):  
Keigo Chida ◽  
Jun Watanabe ◽  
Yusuke Suwa ◽  
Hirokazu Suwa ◽  
Masashi Momiyama ◽  
...  

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