scholarly journals MR-Linac Radiotherapy in Year One: Experience's in Imaging, Patient Treatment and Data Collection

2020 ◽  
Vol 108 (3) ◽  
pp. e249-e250
Author(s):  
B.M. Keller ◽  
M. Campbell ◽  
M.E. Ruschin ◽  
A. Kim ◽  
C. McCann ◽  
...  
Keyword(s):  
Data Collection ◽  
Patient Treatment ◽  
Imaging Patient

scholarly journals 161 The NeuroStar Outcomes Registry

CNS Spectrums ◽  
2018 ◽  
Vol 23 (1) ◽  
pp. 98-98
Author(s):  
Miriam Mina ◽  
David G. Brock ◽  
W. Scott West ◽  
Todd Hutton ◽  
Kenneth P. Pages ◽  
...  
Keyword(s):  
Data Collection ◽  
Data Management ◽  
Management System ◽  
Large Scale ◽  
Remission Rate ◽  
Severity Of Illness ◽  
Study Data ◽  
Data Management System ◽  
Patient Treatment ◽  
Open Label

AbstractThe NeuroStar Outcomes RegistryObjectiveNeuroStar transcranial magnetic stimulation (TMS) is an effective acute treatment for patients with major depressive disorder (MDD). In order to further understand use of the NeuroStar in a clinical setting, Neuronetics has established a patient treatment and outcomes registry to collect and analyze utilization information on patients receiving treatment with the NeuroStar.MethodsIndividual NeuroStar providers are invited to participate in the registry and agree to provide their de-identified patient treatment data. The NeuroStar has an integrated electronic data management system (TrakStar) which allows for the data collection to be automated. The data collected for the registry include Demographic Elements (age, gender), Treatment Parameters, and Clinical Ratings. Clinical assessments are: Clinician Global Impression - Severity of Illness (CGI-S) and thePatient Health Questionnaire 9-item (PHQ-9). De-identified patient data is uploaded to Registry server; an independent statistical service then creates final data reports.ResultsOver 500 patients have entered the NeuroStar Outcomes Registry since Sept 2016. Mean patient age: 48.0 (SD±16.0); 64% Female. Baseline PHQ-9, mean 18.8 (SD±5.0.) Response/Remission Rate, PHQ-9: 61%/33% CGI-S: 78%/59%.ConclusionsFor the initial 500 patients in the Outcomes Registry, approximately 2/3 patients achieve respond and 1/3 patients achieve remission with an acute course of NeuroStar. These treatment outcomes consistent with NeuroStar open-label study data (Carpenter, 2012). The TrakStar data management system makes large scale data collection feasible. The NeuroStarOutcomes Registry is ongoing, and expected to reach 6000 outpatients from more than 47 clinical sites in 36 months.Funding AcknowledgementsNeuronetics, Inc.

Smartphone-Based Data Collection in Ophthalmology

2020 ◽  
Vol 237 (12) ◽  
pp. 1420-1428
Author(s):  
Florian Philipp Raber ◽  
Rokas Gerbutavicius ◽  
Armin Wolf ◽  
Karsten Kortüm
Keyword(s):  
Data Collection ◽  
Data Transfer ◽  
Glucose Monitoring ◽  
Current Status ◽  
Patient Treatment ◽  
Motion Sensors ◽  
Time Data ◽  
Mobile Access ◽  
Wide Range ◽  
Range Of Functions

AbstractDue to their widespread use among the population and their wide range of functions and sensors, smartphones are suitable for data collection for medical purposes. App-supported input masks, patient diaries, and patient information systems, mobile access to the patient file as well as telemedical services will continue to find their way into our field of expertise in the future. In addition, the use of smartphone sensors (GPS and motion sensors, touch display, microphone) and coupling possibilities with biosensors (for example with Continuous Glucose Monitoring [CGM] systems), advanced camera technology, the possibility of regular and appointment independent checking of the visual system (visual acuity/contrast vision) as well as real-time data transfer offer interesting possibilities for patient treatment and clinical research. The present review deals with the current status and future perspectives of smartphone-based data collection and possible applications in ophthalmology.

scholarly journals Philadelphia-negatív krónikus myeloproliferativ neoplasia regiszter magyarországi létrehozása

2016 ◽  
Vol 157 (3) ◽  
pp. 98-103 ◽  
Author(s):  
Péter Dombi ◽  
Árpád Illés ◽  
Judit Demeter ◽  
Lajos Homor ◽  
Zsófia Simon ◽  
...  
Keyword(s):  
Data Collection ◽  
Analysis Data ◽  
Patient Treatment ◽  
Polycythaemia Vera ◽  
Electronic Data Collection ◽  
Epidemiology Data ◽  
Analyse Data ◽  
Bone Marrow Analysis ◽  
Basic Features ◽  
Medical Analysis

Introduction: The establishment and operation of disease registry can be used to collect data on epidemiology cases. In addition, the registry can help to work out medical and health economical and political decisions for longer term. Aim: The aim of the authors was to collect and analyse data of patients with Philadelphia negative neoplasia in Hungary and draw conclusions about the basic types and features of the relevant disease. Method: An online electronic data collection system has been established, based on the permission of the Regional and Institutional Committee of Science and Research Ethics obtained in April 8, 2013. Data collection has been initiated by hematology centres in Hungary. In addition to collection of the epidemiology data, blood and bone marrow analysis data have been collected. Also, based on cardiovascular medical factors, risk stratification has been carried out. Finally, the authors have investigated the method and practice for patient treatment in Hungary. Results: Data of 901 patients from 15 Hungarian haematology centres have been recorded up to the date of June 30, 2015. After clarification of the data, 426 polycythaemia vera, 350 essential thrombocythaemia and 82 myelofibrosis cases were used for analysis. Conclusions: An online registry has been established which helps to clarify and analyse the basic features of certain medical cases and their treatment in Hungary. Including additional medical centres could help to improve the accuracy of medical analysis. Orv. Hetil., 2016, 157(3), 98–103.

A Technique for Imaging Patient Treatment Area During a Therapeutic Radiation Exposure

Radiology ◽  
1970 ◽  
Vol 97 (3) ◽  
pp. 653-656 ◽  
Author(s):  
A. G. Haus ◽  
S. M. Pinsky ◽  
J. E. Marks
Keyword(s):  
Radiation Exposure ◽  
Patient Treatment ◽  
Treatment Area ◽  
Therapeutic Radiation ◽  
Imaging Patient

Electron Diffraction of Wet Biological Membranes

1974 ◽  
Vol 32 ◽  
pp. 158-159
Author(s):  
S.W. Hui ◽  
D.F. Parsons
Keyword(s):  
Electron Diffraction ◽  
Data Collection ◽  
Biological Membranes ◽  
Small Areas ◽  
Electron Diffraction Technique ◽  
Electron Microscopes ◽  
Collection Time ◽  
Camera Length

The development of the hydration stages for electron microscopes has opened up the application of electron diffraction in the study of biological membranes. Membrane specimen can now be observed without the artifacts introduced during drying, fixation and staining. The advantages of the electron diffraction technique, such as the abilities to observe small areas and thin specimens, to image and to screen impurities, to vary the camera length, and to reduce data collection time are fully utilized. Here we report our pioneering work in this area.

Automated electron tomography: from data collection to image processing

1995 ◽  
Vol 53 ◽  
pp. 26-27
Author(s):  
Weiping Liu ◽  
Jennifer Fung ◽  
W.J. de Ruijter ◽  
Hans Chen ◽  
John W. Sedat ◽  
...  
Keyword(s):  
Image Processing ◽  
Data Collection ◽  
Structural Information ◽  
Imaging Technique ◽  
Electron Tomography ◽  
Ccd Camera ◽  
Automated Data Collection ◽  
Full Control ◽  
Transmission Electron ◽  
Amorphous Structures

Electron tomography is a technique where many projections of an object are collected from the transmission electron microscope (TEM), and are then used to reconstruct the object in its entirety, allowing internal structure to be viewed. As vital as is the 3-D structural information and with no other 3-D imaging technique to compete in its resolution range, electron tomography of amorphous structures has been exercised only sporadically over the last ten years. Its general lack of popularity can be attributed to the tediousness of the entire process starting from the data collection, image processing for reconstruction, and extending to the 3-D image analysis. We have been investing effort to automate all aspects of electron tomography. Our systems of data collection and tomographic image processing will be briefly described.To date, we have developed a second generation automated data collection system based on an SGI workstation (Fig. 1) (The previous version used a micro VAX). The computer takes full control of the microscope operations with its graphical menu driven environment. This is made possible by the direct digital recording of images using the CCD camera.

Dental students' payment for patient treatment

1983 ◽  
Vol 47 (12) ◽  
pp. 774-776
Author(s):  
JF Gardiner ◽  
MM Lee ◽  
BJ Legett ◽  
T Kretchun ◽  
E Herschaft ◽  
...  
Keyword(s):  
Dental Students ◽  
Patient Treatment

Productivity of Emerging Word Combinations in Toddlers With Specific Expressive Language Impairment

1997 ◽  
Vol 6 (4) ◽  
pp. 34-47 ◽  
Author(s):  
Steven H. Long ◽  
Lesley B. Olswang ◽  
Julianne Brian ◽  
Philip S. Dale
Keyword(s):  
Data Collection ◽  
Young Children ◽  
Language Impairment ◽  
Treatment Approach ◽  
Expressive Language ◽  
Semantic Consistency ◽  
Session Analysis

This study investigated whether young children with specific expressive language impairment (SELI) learn to combine words according to general positional rules or specific, grammatic relation rules. The language of 20 children with SELI (4 females, 16 males, mean age of 33 months, mean MLU of 1.34) was sampled weekly for 9 weeks. Sixteen of these children also received treatment for two-word combinations (agent+action or possessor+possession). Two different metrics were used to determine the productivity of combinatorial utterances. One metric assessed productivity based on positional consistency alone; another assessed productivity based on positional and semantic consistency. Data were analyzed session-by-session as well as cumulatively. The results suggest that these children learned to combine words according to grammatic relation rules. Results of the session-by-session analysis were less informative than those of the cumulative analysis. For children with SELI ready to make the transition to multiword utterances, these findings support a cumulative method of data collection and a treatment approach that targets specific grammatic relation rules rather than general word combinations.

Enhancing Clinical Supervision Using High-Definition Real-Time Digital Recording, Annotation, and Bluetooth Technology

2019 ◽  
Vol 4 (2) ◽  
pp. 356-362
Author(s):  
Jennifer W. Means ◽  
Casey McCaffrey
Keyword(s):  
Graduate Students ◽  
Data Collection ◽  
Real Time ◽  
Clinical Supervision ◽  
Video Recording ◽  
Advanced Technology ◽  
High Definition ◽  
Recording Technology ◽  
Self Confidence ◽  
Additional Data Collection

Purpose The use of real-time recording technology for clinical instruction allows student clinicians to more easily collect data, self-reflect, and move toward independence as supervisors continue to provide continuation of supportive methods. This article discusses how the use of high-definition real-time recording, Bluetooth technology, and embedded annotation may enhance the supervisory process. It also reports results of graduate students' perception of the benefits and satisfaction with the types of technology used. Method Survey data were collected from graduate students about their use and perceived benefits of advanced technology to support supervision during their 1st clinical experience. Results Survey results indicate that students found the use of their video recordings useful for self-evaluation, data collection, and therapy preparation. The students also perceived an increase in self-confidence through the use of the Bluetooth headsets as their supervisors could provide guidance and encouragement without interrupting the flow of their therapy sessions by entering the room to redirect them. Conclusions The use of video recording technology can provide opportunities for students to review: videos of prospective clients they will be treating, their treatment videos for self-assessment purposes, and for additional data collection. Bluetooth technology provides immediate communication between the clinical educator and the student. Students reported that the result of that communication can improve their self-confidence, perceived performance, and subsequent shift toward independence.

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