scholarly journals Screening and identifying hepatobiliary diseases through deep learning using ocular images: a prospective, multicentre study

2021 ◽  
Vol 3 (2) ◽  
pp. e88-e97
Author(s):  
Wei Xiao ◽  
Xi Huang ◽  
Jing Hui Wang ◽  
Duo Ru Lin ◽  
Yi Zhu ◽  
...  
Gut ◽  
2018 ◽  
Vol 68 (4) ◽  
pp. 729-741 ◽  
Author(s):  
Kun Wang ◽  
Xue Lu ◽  
Hui Zhou ◽  
Yongyan Gao ◽  
Jian Zheng ◽  
...  

ObjectiveWe aimed to evaluate the performance of the newly developed deep learning Radiomics of elastography (DLRE) for assessing liver fibrosis stages. DLRE adopts the radiomic strategy for quantitative analysis of the heterogeneity in two-dimensional shear wave elastography (2D-SWE) images.DesignA prospective multicentre study was conducted to assess its accuracy in patients with chronic hepatitis B, in comparison with 2D-SWE, aspartate transaminase-to-platelet ratio index and fibrosis index based on four factors, by using liver biopsy as the reference standard. Its accuracy and robustness were also investigated by applying different number of acquisitions and different training cohorts, respectively. Data of 654 potentially eligible patients were prospectively enrolled from 12 hospitals, and finally 398 patients with 1990 images were included. Analysis of receiver operating characteristic (ROC) curves was performed to calculate the optimal area under the ROC curve (AUC) for cirrhosis (F4), advanced fibrosis (≥F3) and significance fibrosis (≥F2).ResultsAUCs of DLRE were 0.97 for F4 (95% CI 0.94 to 0.99), 0.98 for ≥F3 (95% CI 0.96 to 1.00) and 0.85 (95% CI 0.81 to 0.89) for ≥F2, which were significantly better than other methods except 2D-SWE in ≥F2. Its diagnostic accuracy improved as more images (especially ≥3 images) were acquired from each individual. No significant variation of the performance was found if different training cohorts were applied.ConclusionDLRE shows the best overall performance in predicting liver fibrosis stages compared with 2D-SWE and biomarkers. It is valuable and practical for the non-invasive accurate diagnosis of liver fibrosis stages in HBV-infected patients.Trial registration numberNCT02313649; Post-results.


BMJ Open ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. e039960
Author(s):  
Michael Blauth ◽  
Alexander Joeris ◽  
Elke Rometsch ◽  
Kathrin Espinoza-Rebmann ◽  
Pannida Wattanapanom ◽  
...  

ObjectiveThe aim of this study was to determine the effect of treatment in geriatric fracture centres (GFC) on the incidence of major adverse events (MAEs) in patients with hip fractures compared with usual care centres (UCC). Secondary objectives included hospital-workflow and mobility-related outcomes.DesignCohort study recruiting patients between June 2015 and January 2017. Follow-up was 1 year.SettingInternational (six countries, three continents) multicentre study.Participants281 patients aged ≥70 with operatively treated proximal femur fractures.InterventionsTreatment in UCCs (n=139) or GFCs (n=142), that is, interdisciplinary treatment including regular geriatric consultation and daily physiotherapy.Outcome measuresPrimary outcome was occurrence of prespecified MAEs, including delirium. Secondary outcomes included any other adverse events, time to surgery, time in acute ward, 1-year mortality, mobility, and quality of life.ResultsPatients treated in GFCs (n=142) had a mean age of 81.9 (SD, 6.6) years versus 83.9 (SD 6.9) years in patients (n=139) treated in UCCs (p=0.013) and a higher mean Charlson Comorbidity Index of 2.0 (SD, 2.1) versus 1.2 (SD, 1.5) in UCCs (p=0.001). More patients in GFCs (28.2%) experienced an MAE during the first year after surgery compared with UCCs (7.9%) with an OR of 4.56 (95% CI 2.23 to 9.34, p<0.001). Analysing individual MAEs, this was significant for pneumonia (GFC: 9.2%; UCC: 2.9%; OR, 3.40 (95% CI 1.08 to 10.70), p=0.027) and delirium (GFC: 11.3%; UCC: 2.2%, OR, 5.76 (95% CI 1.64 to 20.23), p=0.002).ConclusionsContrary to our study hypothesis, the rate of MAEs was higher in GFCs than in UCCs. Delirium was revealed as a main contributor. Most likely, this was based on improved detection rather than a truly elevated incidence, which we interpret as positive effect of geriatric comanagement.Trial registration numberClinicalTrials.gov: NCT02297581.


The Lancet ◽  
1994 ◽  
Vol 344 (8931) ◽  
pp. 1190-1192 ◽  
Author(s):  
E Picano ◽  
W Mathias ◽  
Pingitore A ◽  
Bigi R ◽  
Previtali M

2008 ◽  
Vol 19 (7) ◽  
pp. 693-703 ◽  
Author(s):  
Kristina Arvidson ◽  
Ove Esselin ◽  
Ewa Felle-Persson ◽  
Goran Jonsson ◽  
Jan-Ivan Smedberg ◽  
...  

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