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Quantitative phase imaging through an ultra-thin lensless fiber endoscope

Light(Science & Applications) 2022年第8期11卷 1843-1852页

作者： Jiawei Sun Jiachen Wu Song Wu Ruchi Goswami Salvatore girardo Liangcai Cao Jochen Guck nektarios Koukourakis Juergen W.Czarske Laboratory of Measurement and Sensor System Technique(MST) TU DresdenHelmholtzstrasse 1801069DresdenGermany Competence Center for Biomedical Computational Laser Systems(BIOLAS) TU DresdenDresdenGermany State Key Laboratory of Precision Measurement Technology and Instruments Department of Precision InstrumentsTsinghua University100084BeijingChina Institute for Integrative Nanosciences IFW DresdenHelmholtzstraße 2001069DresdenGermany Max Planck Institute for the Science of Light&Max-Planck-Zentrum für Physik und Medizin 91058ErlangenGermany Cluster of Excellence Physics of Life TU DresdenDresdenGermany Institute of Applied Physics TU DresdenDresdenGermany

Quantitative phase imaging(QPI)is a label-free technique providing both morphology and quantitative biophysical information in ***,applying such a powerful technique to in vivo pathological diagnosis remains ***-core fiber bundles(MCFs)enable ultra-thin probes for in vivo imaging,but current MCF imaging techniques are limited to amplitude imaging *** 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 *** 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 *** accuracy of the quantitative phase reconstruction is validated by imaging the phase target and hydrogel beads through the *** the proposed imaging modality,three-dimensional imaging of human cancer cells is achieved through the ultra-thin fiber endoscope,promising widespread clinical applications.

关键词： fiber phase thin

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A Retrospective Study of Anesthetic Considerations in Hip Arthroscopy: Regional versus General

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Open Journal of Anesthesiology 2018年第12期8卷 295-304页

作者： Molly Kraus Brittany Foley Lopa Misra David Hartigan marl.ne girardo David Seamans Department of Anesthesiology Mayo Clinic Phoenix Arizona USA Department of Orthopedic Surgery Mayo Clinic Phoenix Arizona USA Department of Health Sciences Research Division of Biostatistics Mayo Clinic Phoenix Arizona USA

Purpose: Hip arthroscopy is a surgery with favorable outcomes to treat labral tears of the hip. This retrospective review was conducted to identify an optimal anesthetic technique for hip arthroscopy to minimize postoperative pain and decrease opioid consumption. Methods: A retrospective analysis was performed for 92 patients who underwent hip arthroscopy for femoroacetabular impingement (FAI) with labral tear under general anesthesia (G) with fascia-iliaca block (64 patients) or regional anesthesia (R) with fascia-iliaca block (28 patients) from March 9, 2016 to April 9, 2018. Data collected included: demographics, diagnosis, ASA status, time in surgery, medications administered, type of anesthesia administered, pain scores, use of straight catheter, and time in PACU. Results: Patients who underwent hip arthroscopy under regional anesthesia reported significantly less first (G: 3.4 (3.9), R: 1.3 (3.0), p = 0.0085) and average (G: 3.8 (2.5), R: 2.0 (2.2), p = 0.0038) pain post-operatively. Patients under regional anesthesia also received less total morphine milligram equivalents (MME) intraoperatively and post-operatively (G: 40.8 (21.7) MME, R: 24.9 (17.8), p = 0.004 MME). Patients under regional anesthesia had a significantly higher incidence of urinary retention (G: 3.1%, R: 28.6%, p = 0.009) and increased time spent in PACU (G = 181.9 (86.3), R: 251.4 (80.4), p = 0.0001). Conclusions: The administration of regional anesthesia resulted in significantly lower pain scores and perioperative opioid consumption compared to general anesthesia in patients undergoing hip. This may be the optimal anesthetic technique for pain control;however, incidence of urinary retention and time to discharge are significantly increased. Prospective randomized control trials are needed to compare general anesthesia and regional anesthesia for hip arthroscopy.

关键词： Anesthesia Hip Arthroscopy Perioperative Management Regional Spinal

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Prediction of permanent pacemaker implantation after transcatheter aortic valve replacement:The role of machine learning

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World Journal of Cardiology 2023年第3期15卷 95-105页

作者： Pradyumna Agasthi Hasan Ashraf Sai Harika Pujari marl.ne 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 Department of Cardiology Mayo ClinicPhoenixAZ 85054United States Department of Internal Medicine The Brooklyn Hospital CenterBrooklynNY 11201United States Department of Biostatistics Mayo ClinicPhoenixAZ 85054United States Department of Cardiovascular Diseases Mayo ClinicRochesterMN 55905United States Department of Statistics Mayo ClinicPhoenixAZ 85054United States Department of Cardiovascular Surgery Mayo ClinicRochesterMN 55905United States Mount Sinai Medical Center Columbia UniversityMiami BeachFL 33138United States

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 *** To apply machine learning to be used to predict pre-procedural risk for *** 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 *** 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 *** 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 *** Of 964 patients included in the 30-d analysis without prior PPM,19.6%required PPM *** mean age of patients was 80.9±8.7 years.42.1%were *** 657 patients included in the 1-year analysis,the mean age of the patients was 80.7±*** those,42.6%of patients were female and 26.7%required PPM at 1-year *** 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<*** The GBM model has good discrimination and calibration in identifying patients at high risk of PPM post-TAVR.

关键词： Transcatheter aortic valve replacement Permanent pacemaker implantation Machine learning

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