Objective:Prevention and early detection of colorectal cancer(CRC)can increase the chances of successful treatment and reduce burden.Various data mining technologies have been utilized to strengthen the early detectio...Objective:Prevention and early detection of colorectal cancer(CRC)can increase the chances of successful treatment and reduce burden.Various data mining technologies have been utilized to strengthen the early detection of CRC in primary care.Evidence synthesis on the model’s effectiveness is scant.This systematic review synthesizes studies that examine the effect of data mining on improving risk prediction of CRC.Methods:The PRISMA framework guided the conduct of this study.We obtained papers via Pub Med,Cochrane Library,EMBASE and Google Scholar.Quality appraisal was performed using Downs and Black’s quality checklist.To evaluate the performance of included models,the values of specificity and sensitivity were comparted,the values of area under the curve(AUC)were plotted,and the median of overall AUC of included studies was computed.Results:A total of 316 studies were reviewed for full text.Seven articles were included.Included studies implement techniques including artificial neural networks,Bayesian networks and decision trees.Six articles reported the overall model accuracy.Overall,the median AUC is 0.8243[interquartile range(IQR):0.8050-0.8886].In the two articles that reported comparison results with traditional models,the data mining method performed better than the traditional models,with the best AUC improvement of 10.7%.Conclusions:The adoption of data mining technologies for CRC detection is at an early stage.Limited numbers of included articles and heterogeneity of those studies implied that more rigorous research is expected to further investigate the techniques’effects.展开更多
Background:Spinal dumbbell-shaped epidural cavernous malformation (CM) is a rare, hypervascular entity frequently misdiagnosed for other lesions, leading to unexpected intraoperative bleeding and suboptimal resection....Background:Spinal dumbbell-shaped epidural cavernous malformation (CM) is a rare, hypervascular entity frequently misdiagnosed for other lesions, leading to unexpected intraoperative bleeding and suboptimal resection. Our study aims to elucidate the demographics, management strategy, and outcome of this vascular disease.Methods:Retrospective review of patients seen in Beijing Tiantan Hospital with symptomatic dumbbell-shaped epidural CM from 2008 to 2013. All lesions were pathologically confirmed after resection. The clinical manifestations, radiographic features, and treatment modalities of these cases were analyzed.Results:We included 9 consecutive patients. Average age was 58 ± 12 years (range:34-79 years), with 66.7％male. Locations of the CMs were:thoracic (n=7, 77.8％), cervical (n=1, 11.1％), and cervicothoracic junction (n=1, 11.1％). Only one case presented with acute manifestations while others experienced chronic progressive spinal cord symptoms. The initial clinical diagnoses were:schwannoma (n=6, 66.7％), cavernous hemangioma (CM) (n=1, 11. 1％), meningioma (n=1, 11.1％), and angioma (n=1, 11.1％). Total resection was achieved in six patients (66.7％), and partial resection in the other three patients (33.3％). Average intraoperative blood loss was 400 ± 300 ml (range:100-1000 ml). During an average follow-up of 71 ± 21 months (range:29-94 months), excellent outcome was achieved in seven cases (77.8％), one partially improved (11.1％), and one deteriorated (11.1％). No patients experienced recurrence of symptoms.Conclusions:Spinal dumbbell-shaped epidural CM is a benign vascular malformation that should be differentiated from other dumbbell-shaped lesions. Accurate preoperative diagnose is challenging as no specific radiographic marker has been established. Total surgical resection should be recommended.展开更多
基金supported by the National Natural Science Foundation of China(No.71804183)。
文摘Objective:Prevention and early detection of colorectal cancer(CRC)can increase the chances of successful treatment and reduce burden.Various data mining technologies have been utilized to strengthen the early detection of CRC in primary care.Evidence synthesis on the model’s effectiveness is scant.This systematic review synthesizes studies that examine the effect of data mining on improving risk prediction of CRC.Methods:The PRISMA framework guided the conduct of this study.We obtained papers via Pub Med,Cochrane Library,EMBASE and Google Scholar.Quality appraisal was performed using Downs and Black’s quality checklist.To evaluate the performance of included models,the values of specificity and sensitivity were comparted,the values of area under the curve(AUC)were plotted,and the median of overall AUC of included studies was computed.Results:A total of 316 studies were reviewed for full text.Seven articles were included.Included studies implement techniques including artificial neural networks,Bayesian networks and decision trees.Six articles reported the overall model accuracy.Overall,the median AUC is 0.8243[interquartile range(IQR):0.8050-0.8886].In the two articles that reported comparison results with traditional models,the data mining method performed better than the traditional models,with the best AUC improvement of 10.7%.Conclusions:The adoption of data mining technologies for CRC detection is at an early stage.Limited numbers of included articles and heterogeneity of those studies implied that more rigorous research is expected to further investigate the techniques’effects.
文摘Background:Spinal dumbbell-shaped epidural cavernous malformation (CM) is a rare, hypervascular entity frequently misdiagnosed for other lesions, leading to unexpected intraoperative bleeding and suboptimal resection. Our study aims to elucidate the demographics, management strategy, and outcome of this vascular disease.Methods:Retrospective review of patients seen in Beijing Tiantan Hospital with symptomatic dumbbell-shaped epidural CM from 2008 to 2013. All lesions were pathologically confirmed after resection. The clinical manifestations, radiographic features, and treatment modalities of these cases were analyzed.Results:We included 9 consecutive patients. Average age was 58 ± 12 years (range:34-79 years), with 66.7％male. Locations of the CMs were:thoracic (n=7, 77.8％), cervical (n=1, 11.1％), and cervicothoracic junction (n=1, 11.1％). Only one case presented with acute manifestations while others experienced chronic progressive spinal cord symptoms. The initial clinical diagnoses were:schwannoma (n=6, 66.7％), cavernous hemangioma (CM) (n=1, 11. 1％), meningioma (n=1, 11.1％), and angioma (n=1, 11.1％). Total resection was achieved in six patients (66.7％), and partial resection in the other three patients (33.3％). Average intraoperative blood loss was 400 ± 300 ml (range:100-1000 ml). During an average follow-up of 71 ± 21 months (range:29-94 months), excellent outcome was achieved in seven cases (77.8％), one partially improved (11.1％), and one deteriorated (11.1％). No patients experienced recurrence of symptoms.Conclusions:Spinal dumbbell-shaped epidural CM is a benign vascular malformation that should be differentiated from other dumbbell-shaped lesions. Accurate preoperative diagnose is challenging as no specific radiographic marker has been established. Total surgical resection should be recommended.
