|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Technological,environmental and biological factors:referent variance values for infrared imaging of the bovine显示文摘Background:Despite its variety of potential applications,the wide implementation of infrared technology in cattle production faces technical,environmental and biological challenges similar to other indicators of metabolic state.Nine trials,divided into three classes(technological,environmental and biological factors) were conducted to illustrate the influence of these factors on body surface temperature assessed through infrared imaging.Results:Evaluation of technological factors indicated the following:measurements of body temperatures were strongly repeatable when taken within 10 s;appropriateness of differing infrared camera technologies was influenced by distance to the target;and results were consistent when analysis of thermographs was compared between judges.Evaluation of environmental factors illustrated that wind and debris caused decreases in body surface temperatures without affecting metabolic rate;additionally,body surface temperature increased due to sunlight but returned to baseline values within minutes of shade exposure.Examination/investigation/exploration of animal factors demonstrated that exercise caused an increase in body surface temperature and metabolic rate.Administration of sedative and anti-sedative caused changes on body surface temperature and metabolic rate,and during late pregnancy a foetal thermal imprint was visible through abdominal infrared imaging.Conclusion:The above factors should be considered in order to standardize operational procedures for taking thermographs,thereby optimizing the use of such technology in cattle operations. | Yuri R.Montanholi Melissa Lim Alaina Macdonald Brock A.Smith Christy Goldhawk Karen Schwartzkopf-Genswein Stephen P.Miller | 2015 | Journal of Animal Science and Biotechnology2015，6，4： | 2 |
| 2 | CX^sub 3^CR1-dependent renal macrophage survival promotes Candida control and host survival显示文摘 | Lionakis Michail S Swamydas Muthulekha Fischer Brett G Plantinga Theo S Johnson Melissa D Jaeger Martin Green Nathaniel M Masedunskas Andrius Weigert Roberto Mikelis Constantinos Wan Wuzhou Lee Chyi-Chia Richard Lim Jean K Rivollier Aymeric | 2013 | Journal of Clinical Investigation2013，，12： | 1 |
| 3 | Application of artifcial intelligence in cataract management:current and future directions显示文摘The rise of artifcial intelligence(AI)has brought breakthroughs in many areas of medicine.In ophthalmology,AI has delivered robust results in the screening and detection of diabetic retinopathy,age-related macular degeneration,glaucoma,and retinopathy of prematurity.Cataract management is another feld that can beneft from greater AI application.Cataract is the leading cause of reversible visual impairment with a rising global clinical burden.Improved diagnosis,monitoring,and surgical management are necessary to address this challenge.In addition,patients in large developing countries often sufer from limited access to tertiary care,a problem further exacerbated by the ongoing COVID-19 pandemic.AI on the other hand,can help transform cataract management by improving automation,efcacy and overcoming geographical barriers.First,AI can be applied as a telediagnostic platform to screen and diagnose patients with cataract using slit-lamp and fundus photographs.This utilizes a deep-learning,convolutional neural network(CNN)to detect and classify referable cataracts appropriately.Second,some of the latest intraocular lens formulas have used AI to enhance prediction accuracy,achieving superior postoperative refractive results compared to traditional formulas.Third,AI can be used to augment cataract surgical skill training by identifying diferent phases of cataract surgery on video and to optimize operating theater workfows by accurately predicting the duration of surgical procedures.Fourth,some AI CNN models are able to efectively predict the progression of posterior capsule opacifcation and eventual need for YAG laser capsulotomy.These advances in AI could transform cataract management and enable delivery of efcient ophthalmic services.The key challenges include ethical management of data,ensuring data security and privacy,demonstrating clinically acceptable performance,improving the generalizability of AI models across heterogeneous populations,and improving the trust of end-users. | Laura Gutierrez Jane Sujuan Lim Li Lian Foo Wei Yan Ng Michelle Yip Gilbert Yong San Lim Melissa Hsing Yi Wong Allan Fong Mohamad Rosman Jodhbir Singth Mehta Haotian Lin Darren Shu Jeng Ting Daniel Shu Wei Ting | 2024 | Eye and Vision2024，10，1： | 0 |
| 4 | Prognostic importance of lymph node yield after curative resection of gastroenteropancreatic neuroendocrine tumours显示文摘BACKGROUND The prognostic significance of lymph nodes(LNs)metastases and the optimum number of LN yield in gastroenteropancreatic neuroendocrine tumours(GEP NETs)undergoing curative resection is still debatable.Many studies have demonstrated that cure rate for patients with GEP NETs can be improved by the resection of the primary tumour and regional lymphadenectomy AIM To evaluate the effect of lymph node(LN)status and yield on relapse-free survival(RFS)and overall survival(OS)in patients with resected GEP NETs.METHODS Data on patients who underwent curative resection for GEP NETs between January 2002 and March 2017 were analysed retrospectively.Grade 3 tumours(Ki67>20%)were excluded.Univariate Cox proportional hazard models were computed for RFS and OS and assessed alongside cut-point analysis to distinguish a suitable binary categorisation of total LNs retrieved associated with RFS.RESULTS A total of 217 patients were included in the study.The median age was 59 years(21-97 years)and 51%(n=111)were male.Primary tumour sites were small bowel(42%),pancreas(25%),appendix(18%),rectum(7%),colon(3%),gastric(2%),others(2%).Median follow up times for all patients were 41 mo(95%CI:36-51)and 71 mo(95%CI:63–76)for RFS and OS respectively;50 relapses and 35 deaths were reported.LNs were retrieved in 151 patients.Eight or more LNs were harvested in 106 patients and LN positivity reported in 114 patients.Three or more positive LNs were detected in 62 cases.The result of univariate analysis suggested perineural invasion(P=0.0023),LN positivity(P=0.033),LN retrieval of≥8(P=0.047)and localisation(P=0.0049)have a statistically significant association with shorter RFS,but there was no effect of LN ratio on RFS:P=0.1 or OS:P=0.75.Tumour necrosis(P=0.021)and perineural invasion(P=0.016)were the only two variables significantly associated with worse OS.In the final multivariable analysis,localisation(pancreas HR=27.33,P=0.006,small bowel HR=32.44,P=0.005),and retrieval of≥8 LNs(HR=2.7,P=0.036)were independent prognostic factors for worse RFS.CONCLUSION An outcome-oriented approach to cut-point analysis can suggest a minimum number of adequate LNs to be harvested in patients with GEP NETs undergoing curative surgery.Removal of≥8 LNs is associated with increased risk of relapse,which could be due to high rates of LN positivity at the time of surgery.Given that localisation had a significant association with RFS,a prospective multicentre study is warranted with a clear direction on recommended surgical practice and follow-up guidance for GEP NETs. | Jaseela Chiramel Rose Almond Astrid Slagter Adeel Khan Xin Wang Kok Haw Jonathan Lim Melissa Frizziero Bipasha Chakrabarty Annamaria Minicozzi Angela Lamarca Wasat Mansoor Richard A Hubner Juan William Valle Mairéad Geraldine McNamara | 2020 | World Journal of Clinical Oncology2020，11，4： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员