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		题名	作者	年代	出处	被引量
	1	Evaluation of conservative treatment of non specific spondylodiscitis显示文摘	Bettini N Girardo M Dema E		0，，01：	1
	2	Uninstrumented pos-terolateral spinal arthrodesis : is it the gold standard tech-nique for I degrees and II degrees grade spondylolisthesisin adolescence显示文摘	Girardo M Bettini N Dema E9	2009	Eur Spine J2009，18，1：	1
	3	Evaluation of conser- vative treatment of non specific spondylodiscitis 显示文摘	Bettini N Girardo M Dema E	2009	Eur Spine J2009，18，：	1
	4	Uninstrumented posterolateral spinal arthrodesis: is it the gold standard technique for IO and IIO grade spondylolisthesis in adolescence 显示文摘	Girardo M Bettini N Dema E	2009	Eur Spine J2009，18，1：	1
	5	Evaluation of conservative treatment of non specific spondylodiscitis 显示文摘	Bettini N Girardo M Dema E	2009	Eur Spine J2009，181，：	1
	6	Evaluation of conservative treatment of non specific spondylodiscitis显示文摘	Bettini N Girardo M Dema E	2009	Eur Spine J2009，18，1：	1
	7	Uninstrumented posterolateral spinal arthrodesis:is it the gold standard technique for Ⅰ degrees and Ⅱ degrees grade spondylolisthesis in adolescence?显示文摘	Girardo M Bettini N Dema E	2009	Eur Spine J2009，18，1：	1
	8	Uninstrumented pos-terolateral spinal arthrodesis: is it the gold standard tech- nique for I degrees and 1I degrees grade spondylolisthesis in adolescence显示文摘	Girardo M Bettini N Dema E	2009	Eur Spine J2009，18，1：	1
	9	Uninstrumented posterolateral spinal arthrodesis: is it the gold standard technique for I degrees and II degrees grade spondylolisthesis in adolescence? 显示文摘	Girardo M Bettini N Dema E	2009	EurSpineJ2009，18，1：	1
	10	Evaluation of conservative treatment of non specific spondylodiscitis显示文摘	Bettini N Girardo M Dema E	2009	Eur Spine J2009，18，1：	1
	11	Uninstrumented pos- terolateral spinal arthrodesis:is it the gold standard technique for I degrees and II degrees grade spondylolisthesis in adolescence 显示文摘	Girardo M Bettini N Dema E	2009	Eur Spine J2009，18，1：	1
	12	Refinement of the alphaaminooleic acid bioprosthetic valve anticalcification technique显示文摘	Gott JP Girardo MN Girardot JM	1997	Ann Thorac Surg1997，64，1：	1
	13	Evaluation of conservative treatment of non specific spondylodiscitis显示文摘	Bettini N Girardo M Dema E		0，，01：	1
	14	Quantitative phase imaging through an ultra-thin lensless fiber endoscope显示文摘Quantitative phase imaging(QPI)is a label-free technique providing both morphology and quantitative biophysical information in biomedicine.However,applying such a powerful technique to in vivo pathological diagnosis remains challenging.Multi-core fiber bundles(MCFs)enable ultra-thin probes for in vivo imaging,but current MCF imaging techniques are limited to amplitude imaging modalities.We demonstrate a computational lensless microendoscope that uses an ultra-thin bare MCF to perform quantitative phase imaging with microscale lateral resolution and nanoscale axial sensitivity of the optical path length.The incident complex light field at the measurement side is precisely reconstructed from the far-field speckle pattern at the detection side,enabling digital refocusing in a multi-layer sample without any mechanical movement.The accuracy of the quantitative phase reconstruction is validated by imaging the phase target and hydrogel beads through the MCF.With the proposed imaging modality,three-dimensional imaging of human cancer cells is achieved through the ultra-thin fiber endoscope,promising widespread clinical applications.	Jiawei Sun Jiachen Wu Song Wu Ruchi Goswami Salvatore Girardo Liangcai Cao Jochen Guck Nektarios Koukourakis Juergen W.Czarske	2022	Light(Science & Applications)2022，11，8：	0
	15	Prediction of permanent pacemaker implantation after transcatheter aortic valve replacement:The role of machine learning显示文摘BACKGROUND Atrioventricular block requiring permanent pacemaker(PPM)implantation is an important complication of transcatheter aortic valve replacement(TAVR).Application of machine learning could potentially be used to predict preprocedural risk for PPM.AIM To apply machine learning to be used to predict pre-procedural risk for PPM.METHODS A retrospective study of 1200 patients who underwent TAVR(January 2014-December 2017)was performed.964 patients without prior PPM were included for a 30-d analysis and 657 patients without PPM requirement through 30 d were included for a 1-year analysis.After the exclusion of variables with near-zero variance or≥50%missing data,167 variables were included in the random forest gradient boosting algorithm(GBM)optimized using 5-fold cross-validations repeated 10 times.The receiver operator curve(ROC)for the GBM model and PPM risk score models were calculated to predict the risk of PPM at 30 d and 1 year.RESULTS Of 964 patients included in the 30-d analysis without prior PPM,19.6%required PPM post-TAVR.The mean age of patients was 80.9±8.7 years.42.1%were female.Of 657 patients included in the 1-year analysis,the mean age of the patients was 80.7±8.2.Of those,42.6%of patients were female and 26.7%required PPM at 1-year post-TAVR.The area under ROC to predict 30-d and 1-year risk of PPM for the GBM model(0.66 and 0.72)was superior to that of the PPM risk score(0.55 and 0.54)with a P value<0.001.CONCLUSION The GBM model has good discrimination and calibration in identifying patients at high risk of PPM post-TAVR.	Pradyumna Agasthi Hasan Ashraf Sai Harika Pujari Marlene Girardo Andrew Tseng Farouk Mookadam Nithin Venepally Matthew R Buras Bishoy Abraham Banveet K Khetarpal Mohamed Allam Siva K Mulpuru MD Mackram F Eleid Kevin L Greason Nirat Beohar John Sweeney David Fortuin David R Jr Holmes Reza Arsanjani	2023	World Journal of Cardiology2023，15，3：	0

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