scholarly journals A Whole-slide Imaging Based Workflow Reduces the Reading Time of Pathologists

2021 ◽  
Author(s):  
Alexi Baidoshvili ◽  
Mariam Kacheishvili ◽  
Jeroen van der Laak ◽  
Paul van Diest
Keyword(s):  
Reading Time ◽  
Care Program ◽  
Optical Microscope ◽  
Working Environment ◽  
Digital Workflow ◽  
Fully Integrated ◽  
Prostate Biopsies ◽  
Primary Diagnostics ◽  
Time Required ◽  
Whole Slide Images

Abstract Aims: Even though entirely digitized microscopic tissue sections (whole slide images) are increasingly being used in histopathology diagnostics, little data is still available on the effect of this technique on pathologists’ reading time. This study aimed to compare the time required to perform microscopic assessment by pathologists between a conventional workflow (using an optical microscope and glass slides) and digitized whole slide images (WSI).Methods: The study was performed in the Laboratory for Pathology Eastern Netherlands (LabPON, Hengelo, The Netherlands), which has been using WSI in primary diagnostics for several years. Cases were either read in a conventional workflow, while the pathologist recorded the time required for diagnostics and reporting or were read using a fully digitized workflow. The digitized workflow was fully integrated with the laboratory information system, and reading times were extracted from the log files of the image management system. Results: Analysis of over 3800 cases showed a time gain in favour of the digital workflow for most case categories, with the highest gain (68% time gain) for prostate biopsies (prostate care program). On average, a gain of 12.3% was found for the digital workflow, taking the case distribution into account. Conclusions: It was concluded that transitioning from conventional microscopy to use of WSI significantly reduces the pathologists’ reading times. A fully integrated pathologist working environment is required to fully benefit from the benefits of a digital workflow.

scholarly journals Re-establishing apical patency after obturation with Gutta-percha and two novel calcium silicate-based sealers

2015 ◽  
Vol 09 (04) ◽  
pp. 457-461 ◽  
Author(s):  
Anastasia Agrafioti ◽  
Anastasios D. Koursoumis ◽  
Evangelos G. Kontakiotis
Keyword(s):  
Calcium Silicate ◽  
Continuous Wave ◽  
Mineral Trioxide Aggregate ◽  
Optical Microscope ◽  
Gutta Percha ◽  
Anterior Teeth ◽  
Working Length ◽  
Significant Difference ◽  
Ah Plus ◽  
Time Required

ABSTRACT Objective: Aim of the present study was to evaluate the retreatability and reestablishment of apical patency of two calcium silicate-based sealers, TotalFill BC Sealer (BCS) and mineral trioxide aggregate Fillapex (MTA F), versus AH Plus, when used in combination with Gutta-percha (GP). Materials and Methods: The canals of 54 single-rooted anterior teeth were instrumented and filled with GP/AH Plus (Group A), GP/MTA F (Group B), or GP/BCS (Group C) using continuous wave obturation technique. The groups were subdivided into subgroups with the master-GP cone placed to the working length (WL) or intentionally 2 mm short. The retreatment procedures were performed using ultrasonics, chloroform, rotary, and hand files. The ability to establish the patency and reach WL was determined as well as the time taken to reach WL was calculated in minutes. Furthermore, the samples were observed under a dental, optical microscope, after vertically splitting them. Results: The WL and patency were reestablished in 100% of specimens in all groups. The Mann–Whitney U-test indicated that there was a significant difference in the amount of time required to reach WL between the groups (P < 0.05) with group GP/BCS short of the WL showing the most amount of time to be retreated. Conclusion: The novel calcium silicate-based sealers are negotiable under simple root canal anatomy. However, the conventional retreatment techniques are not able to fully remove them.

Subjective Work Measurement for Nurse Staffing

1976 ◽  
Vol 20 (4) ◽  
pp. 66-71
Author(s):  
Louis E. Freund ◽  
Barry L. Wagner
Keyword(s):  
Optimal Allocation ◽  
Care Delivery ◽  
Working Environment ◽  
Human Engineering ◽  
Human Beings ◽  
Skill Levels ◽  
Optimal Output ◽  
Activity Performance ◽  
Time Required ◽  
Human Attributes

Human Engineering can be viewed as a method of achieving “optimal” output from a man-machine system by engineering the requisites for achieving output to the constraints imposed by the human component. Operations Research is concerned with the “optimal” allocation of resources. When the resource becomes some property of human beings, difficulty is encountered in the measurement of human attributes over which optimization is to take place. This paper describes a staffing methodology which attempts to “optimize” personnel utilization in job performance in terms of the workload, the objective being to minimize worklod while maintaining performance and quality. The methodology is differentiated from time based methodologies in that it employe a technique called constant sum paired comparisons to establish subjective measures of workload. This subjective technique has its origins in the psychophysical methods previously applied in Human Engineering. This subjective technique allows perceptions of workload to include not only the time required for activity performance but also the individuality of the worker, his concept of work scope, responsiblity, and methods used, conditions of the working environment and the individuality of the work required. An application to the staffing of nursing units in acute adult hospitals is presented where staffing recommendations specific to each unit and shift (working situation) and which reflect the distribution and census of patients, capacities of nursing personnel, and goals for care delivery in terms of skill levels and quality of care are computed.

A study of two innovative workplace programmes for workers with intellectual disabilities (WWID) in Australia revealed their positive influence

2018 ◽  
Vol 26 (4) ◽  
pp. 5-6
Keyword(s):  
Intellectual Disabilities ◽  
Case Studies ◽  
Design Methodology ◽  
Reading Time ◽  
Positive Influence ◽  
Working Environment ◽  
Content Type ◽  
Pertinent Information ◽  
A Company ◽  
Practical Implications

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings A study of two innovative workplace programs for workers with intellectual disabilities (WWIDs) in Australia revealed their positive influence. The study has a number of practical implications. The first is that HR departments can play a significant role in developing innovative projects that help WWIDs to settle down in a company. Ideally, the programs help them to move from feeling like “outsiders” to being “insiders,” who understand the working environment and feel closer to their colleagues. The best moment for such innovative programs is right at the start of employment. Practical implications The paper provides strategic insights and practical thinking that have influenced some of the world’s leading organizations. Originality/value The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

Long engagement

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Keyword(s):  
Employee Engagement ◽  
Stock Options ◽  
Design Methodology ◽  
Reading Time ◽  
Working Environment ◽  
Content Type ◽  
Pertinent Information

Purpose The need to foster engagement in employees is often talked about in the C-suite of large organizations, but one wonders if anyone sate round board tables in expensive suits really gets what that means. For sure, they know what employee engagement entails – what it entails are higher levels of productivity from the same set of employees, a more profitable business, a safer working environment and a healthier workforce. What’s not to like? Employee engagement will therefore be a top priority for the suits, who will order someone to get right on it and meanwhile go back to studying the fluctuating value of their stock options. Design/methodology/approach This briefing is prepared by an independent writer who adds his/her own impartial comments and places the articles in context. Findings The need to foster engagement in employees is often talked about in the C-suite of large organizations, but one wonders if anyone sate round board tables in expensive suits really gets what that means. For sure, they know what employee engagement entails – what it entails are higher levels of productivity from the same set of employees, a more profitable business, a safer working environment and a healthier workforce. What’s not to like? Employee engagement will therefore be a top priority for the suits, who will order someone to get right on it and meanwhile go back to studying the fluctuating value of their stock options. Originality/value The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

Whole slide images for primary diagnostics in dermatopathology: a feasibility study

2011 ◽  
Vol 65 (2) ◽  
pp. 152-158 ◽  
Author(s):  
Shaimaa Al-Janabi ◽  
André Huisman ◽  
Aryan Vink ◽  
Roos J Leguit ◽  
G Johan A Offerhaus ◽  
...  
Keyword(s):  
Feasibility Study ◽  
Primary Diagnostics ◽  
Whole Slide Images

scholarly journals Artificial intelligence for advance requesting of immunohistochemistry in diagnostically uncertain prostate biopsies

2021 ◽  
Author(s):  
Andrea Chatrian ◽  
Richard T. Colling ◽  
Lisa Browning ◽  
Nasullah Khalid Alham ◽  
Korsuk Sirinukunwattana ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Area Under The Curve ◽  
Validation Dataset ◽  
Prostate Biopsies ◽  
The Neural Network ◽  
Neural Network Prediction ◽  
Neural Network Algorithm ◽  
Network Prediction ◽  
Whole Slide Images

AbstractThe use of immunohistochemistry in the reporting of prostate biopsies is an important adjunct when the diagnosis is not definite on haematoxylin and eosin (H&E) morphology alone. The process is however inherently inefficient with delays while waiting for pathologist review to make the request and duplicated effort reviewing a case more than once. In this study, we aimed to capture the workflow implications of immunohistochemistry requests and demonstrate a novel artificial intelligence tool to identify cases in which immunohistochemistry (IHC) is required and generate an automated request. We conducted audits of the workflow for prostate biopsies in order to understand the potential implications of automated immunohistochemistry requesting and collected prospective cases to train a deep neural network algorithm to detect tissue regions that presented ambiguous morphology on whole slide images. These ambiguous foci were selected on the basis of the pathologist requesting immunohistochemistry to aid diagnosis. A gradient boosted trees classifier was then used to make a slide-level prediction based on the outputs of the neural network prediction. The algorithm was trained on annotations of 219 immunohistochemistry-requested and 80 control images, and tested by threefold cross-validation. Validation was conducted on a separate validation dataset of 222 images. Non IHC-requested cases were diagnosed in 17.9 min on average, while IHC-requested cases took 33.4 min over multiple reporting sessions. We estimated 11 min could be saved on average per case by automated IHC requesting, by removing duplication of effort. The tool attained 99% accuracy and 0.99 Area Under the Curve (AUC) on the test data. In the validation, the average agreement with pathologists was 0.81, with a mean AUC of 0.80. We demonstrate the proof-of-principle that an AI tool making automated immunohistochemistry requests could create a significantly leaner workflow and result in pathologist time savings.

scholarly journals Artificial Intelligence for Advance Requesting of Immunohistochemistry in Diagnostically Uncertain Prostate Biopsies

2021 ◽  
Author(s):  
Andrea Chatrian ◽  
Richard Colling ◽  
Lisa Browning ◽  
Nasullah Khalid Alham ◽  
Korsuk Sirinukunwattana ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Area Under The Curve ◽  
Validation Dataset ◽  
Prostate Biopsies ◽  
The Neural Network ◽  
Neural Network Prediction ◽  
Neural Network Algorithm ◽  
Network Prediction ◽  
Whole Slide Images

The use of immunohistochemistry in the reporting of prostate biopsies is an important adjunct when the diagnosis is not definite on haematoxylin and eosin (H&E) morphology alone. The process is however inherently inefficient with delays while waiting for pathologist review to make the request and duplicated effort reviewing a case more than once. In this study, we aimed to capture the workflow implications of immunohistochemistry requests and demonstrate a novel artificial intelligence tool to identify cases in which immunohistochemistry (IHC) is required and generate an automated request. We conducted audits of the workflow for prostate biopsies in order to understand the potential implications of automated immunohistochemistry requesting and collected prospective cases to train a deep neural network algorithm to detect tissue regions that presented ambiguous morphology on whole slide images. These ambiguous foci were selected on the basis of the pathologist requesting immunohistochemistry to aid diagnosis. A gradient boosted trees classifier was then used to make a slide level prediction based on the outputs of the neural network prediction. The algorithm was trained on annotations of 219 immunohistochemistry-requested and 80 control images, and tested by 3-fold cross-validation. Validation was conducted on a separate validation dataset of 212 images. Non IHC-requested cases were diagnosed in 17.9 minutes on average, while IHC-requested cases took 33.4 minutes over multiple reporting sessions. We estimated 11 minutes could be saved on average per case by automated IHC requesting, by removing duplication of effort. The tool attained 99% accuracy and 0.99 Area Under the Curve (AUC) on the test data. In the validation, the average agreement with pathologists was 0.81, with a mean AUC of 0.80. We demonstrate the proof-of-principle that an AI tool making automated immunohistochemistry requests could create a significantly leaner workflow and result in pathologist time savings.

Whole slide images for primary diagnostics of paediatric pathology specimens: a feasibility study

2012 ◽  
Vol 66 (3) ◽  
pp. 218-223 ◽  
Author(s):  
Shaimaa Al-Janabi ◽  
André Huisman ◽  
Peter G J Nikkels ◽  
Fiebo J W ten Kate ◽  
Paul J van Diest
Keyword(s):  
Feasibility Study ◽  
Primary Diagnostics ◽  
Whole Slide Images

Microstructure and corrosion properties of SiC/Al-Mg-Cu-Si-Sn composites

2017 ◽  
Vol 24 (5) ◽  
pp. 709-713
Author(s):  
Rujuan Shen ◽  
Pengfei Zhou ◽  
Daihong Xiao ◽  
Min Song
Keyword(s):  
Vickers Hardness ◽  
Volume Fraction ◽  
Hardness Test ◽  
Optical Microscope ◽  
Corrosion Properties ◽  
Sic Particles ◽  
Peak Aged ◽  
Aged State ◽  
Time Required ◽  
Hot Pressing Sintering

AbstractThe SiC/Al-Mg-Cu-Si-Sn composites with different quantities of SiC particles by volume were fabricated using hot-pressing sintering. The effects of SiC volume fraction on the microstructure, Vickers hardness, and corrosion behavior of the composites were studied using the optical microscope, scanning electron microscope, Vickers hardness test, and corrosion testing. The results show that adding SiC particles shortened the time required to reach the peak-aged state of the composites and increased the hardness. Corrosion potentials of the composites did not vary greatly or show any definite trends in relation to the amounts of the SiC contents.

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