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Month wise articles
Figures next to the month indicate the number of articles in that month
2022
March
[
1
]
January
[
10
]
2021
December
[
7
]
November
[
9
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September
[
8
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August
[
2
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July
[
1
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June
[
4
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May
[
3
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April
[
4
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March
[
7
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February
[
3
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January
[
6
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2020
December
[
2
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November
[
5
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October
[
3
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September
[
2
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August
[
8
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July
[
4
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June
[
2
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May
[
1
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April
[
3
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March
[
3
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February
[
6
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January
[
1
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2019
December
[
6
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November
[
4
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September
[
4
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August
[
3
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July
[
6
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June
[
1
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May
[
2
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April
[
6
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March
[
3
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February
[
4
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January
[
2
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2018
December
[
10
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November
[
4
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October
[
3
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September
[
4
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August
[
1
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July
[
3
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June
[
5
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May
[
4
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April
[
10
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March
[
2
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February
[
4
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2017
December
[
5
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November
[
4
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October
[
3
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September
[
9
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July
[
5
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June
[
2
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May
[
4
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April
[
6
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March
[
6
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February
[
7
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2016
December
[
7
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November
[
5
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October
[
3
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September
[
7
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August
[
1
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July
[
7
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May
[
8
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April
[
7
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March
[
4
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February
[
2
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January
[
5
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2015
November
[
4
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October
[
5
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September
[
5
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August
[
4
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July
[
3
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June
[
19
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May
[
5
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April
[
1
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March
[
5
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February
[
9
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January
[
3
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2014
November
[
2
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October
[
5
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September
[
4
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August
[
6
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July
[
8
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June
[
1
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May
[
3
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March
[
8
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February
[
3
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January
[
4
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2013
December
[
5
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November
[
2
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October
[
4
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September
[
4
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August
[
3
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July
[
3
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June
[
5
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May
[
7
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March
[
18
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February
[
1
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January
[
1
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2012
December
[
6
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November
[
1
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October
[
4
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September
[
4
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August
[
7
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July
[
2
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June
[
1
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May
[
2
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April
[
7
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March
[
6
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February
[
7
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January
[
13
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2011
December
[
3
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November
[
1
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October
[
7
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August
[
9
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July
[
3
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June
[
7
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May
[
3
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March
[
6
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February
[
8
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January
[
6
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2010
December
[
4
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November
[
1
]
October
[
6
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September
[
1
]
August
[
6
]
July
[
6
]
May
[
5
]
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Original Article:
Complete routine remote digital pathology services
Aleksandar Vodovnik, Mohammad Reza F. Aghdam
J Pathol Inform
2018, 9:36 (29 October 2018)
DOI
:10.4103/jpi.jpi_34_18
PMID
:30505622
Background:
Validation studies in digital pathology addressed so far diverse aspects of the routine work. We aimed to establish a complete remote digital pathology service.
Methods:
Altogether 2295 routine cases (8640 slides) were reported in our studies on digital versus microscopic diagnostics, remote reporting, diagnostic time, fine-needle aspiration cytology (FNAC) clinics, frozen sections, and diagnostic sessions with residents. The same senior pathologist was involved in all studies. Slides were scanned by ScanScope AT Turbo (Aperio). Digital images were accessed through the laboratory system (LS) on either 14” laptops or desktop computers with double 23” displays for the remote and on-site digital reporting. Larger displays were used when available for remote reporting. First diagnosis was either microscopic, digital, or remote digital only (6 months washout period). Both diagnoses were recorded separately and compared. Turnaround was measured from the registration to sign off or scanning to diagnosis. A diagnostic time was measured from the point slides were made available to the point of diagnosis or additional investigations were necessary, recorded independently in minutes/session, and compared. Jabber Video (Cisco) and Lync (Microsoft) were interchangeably used for the secure, video supervision of activities. Mobile phone, broadband, broadband over Wi-Fi, and mobile broadband were tested for internet connections. Nine autopsies were performed remotely involving three staff pathologists, one autopsy technician, and one resident over the secure video link. Remote and on-site pathologists independently interpreted and compared gross findings. Diverse benefits and technical aspects were studied using logs or information recorded in LS. Satisfaction surveys on diverse technical and professional aspects of the studies were conducted.
Results:
The full concordance between digital and light microscopic diagnosis was 99% (594/600 cases). A minor discordance, without clinical implications, was 1% (6/600 cases). The instant upload of digital images was achieved at 20 Mbps. Deference to microscopic slides and rescanning were under 1%. Average turnaround was shorter and percentage of cases reported up to 3 days higher for remote digital reporting. Larger displays improved the most user experience at magnifications over ×20. A digital diagnostic time was shorter than microscopic in 13 sessions. Four sessions with shorter microscopic diagnostic time included more cases requiring extensive use of magnifications over ×20. Independent interpretations of gross findings between remote and on-site pathologists yielded full agreement in the remote autopsies. Delays in reporting of frozen sections and FNAC due to scanning were clinically insignificant. Satisfaction levels with diverse technical and/or professional aspects of all studies were high.
Conclusions:
Complete routine remote digital pathology services are found feasible in hands of experienced staff. The introduction of digital pathology has improved provisions and organizations of our pathology services in histology, cytology, and autopsy including teaching and interdepartmental collaboration.
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Original Article:
Network analysis of autopsy diagnoses: Insights into the “cause of death” from unbiased disease clustering
Romulo Celli, Miguel Divo, Monica Colunga, Bartolome Celli, Kisha Anne Mitchell-Richards
J Pathol Inform
2018, 9:35 (9 October 2018)
DOI
:10.4103/jpi.jpi_20_18
PMID
:30450264
Background:
Autopsies usually serve to inform specific “causes of death” and associated mechanisms. However, multiple diseases can co-exist and interact leading to a final demise. We approached autopsy-produced data using network analysis in an unbiased fashion to inform about interaction among different diseases and identify possible targets of system-level health care.
Methods:
Reports of 261 full autopsies from one institution between 2011 and 2013 were reviewed. Comorbidities were recorded and their Spearman's association coefficients were calculated. Highly associated comorbidities (
P
< 0.01) were selected to construct a network in which each disease is represented by a node, and each link between the nodes represents significant co-occurrence.
Results:
The network comprised 140 diseases connected by 419 links. The mean number of connections per node was 6. The most highly connected nodes (“hubs”) represented infectious processes, whereas less connected nodes represented neoplasms and other chronic diseases. Eight clusters of biologically plausible associated diseases were identified.
Conclusions:
There is an unbiased relationship among autopsy-identified diseases. There were “hubs” (primarily infectious) with significantly more associations than others that could represent obligatory or important modulators of the final expression of other diseases. Clusters of co-occurring diseases, or “modules,” suggest the presence of clinically relevant presentations of pathobiologically related entities which are until now considered individual diseases. These modules may occur together prior to death and be amenable to interventions during life.
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Original Article:
Validation of remote digital frozen sections for cancer and transplant intraoperative services
Luca Cima, Matteo Brunelli, Anil Parwani, Ilaria Girolami, Andrea Ciangherotti, Giulio Riva, Luca Novelli, Francesca Vanzo, Alessandro Sorio, Vito Cirielli, Mattia Barbareschi, Antonietta D'Errico, Aldo Scarpa, Chiara Bovo, Filippo Fraggetta, Liron Pantanowitz, Albino Eccher
J Pathol Inform
2018, 9:34 (9 October 2018)
DOI
:10.4103/jpi.jpi_52_18
PMID
:30450263
Introduction:
Whole-slide imaging (WSI) technology can be used for primary diagnosis and consultation, including intraoperative (IO) frozen section (FS). We aimed to implement and validate a digital system for the FS evaluation of cancer and transplant specimens following recommendations of the College of American Pathologists.
Materials and Methods:
FS cases were routinely scanned at ×20 employing the “Navigo” scanner system. IO diagnoses using glass versus digital slides after a 3-week washout period were recorded. Intraobserver concordance was evaluated using accuracy rate and kappa statistics. Feasibility of WSI diagnoses was assessed by the way of sensitivity, specificity, as well as positive and negative predictive values. Participants also completed a survey denoting scan time, time spent viewing cases, preference for glass versus WSI, image quality, interface experience, and any problems encountered.
Results:
Of the 125 cases submitted, 121 (436 slides) were successfully scanned including 93 oncological and 28 donor-organ FS biopsies. Four cases were excluded because of failed digitalization due to scanning problems or sample preparation artifacts. Full agreement between glass and digital-slide diagnosis was obtained in 90 of 93 (97%, κ = 0.96) oncology and in 24 of 28 (86%, κ = 0.91) transplant cases. There were two major and one minor discrepancy for cancer cases (sensitivity 100%, specificity 96%) and two major and two minor disagreements for transplant cases (sensitivity 96%, specificity 75%). Average scan and viewing/reporting time were 12 and 3 min for cancer cases, compared to 18 and 5 min for transplant cases. A high diagnostic comfort level among pathologists emerged from the survey.
Conclusions:
These data demonstrate that the “Navigo” digital WSI system can reliably support an IO FS service involving complicated cancer and transplant cases.
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© Journal of Pathology Informatics | Published by Wolters Kluwer -
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March, 2010