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Month wise articles
Figures next to the month indicate the number of articles in that month
2021
January
[
5
]
2020
December
[
2
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November
[
5
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October
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3
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September
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2
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August
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8
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July
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4
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June
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2
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May
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1
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April
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3
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March
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3
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February
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6
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January
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1
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2019
December
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6
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November
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4
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September
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4
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August
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3
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July
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6
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June
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1
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May
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2
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April
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6
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March
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3
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February
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4
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January
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2
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2018
December
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10
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November
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4
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October
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3
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September
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4
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August
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1
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July
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3
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June
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5
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May
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4
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April
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10
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March
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2
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February
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4
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2017
December
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5
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November
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4
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October
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3
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September
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9
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July
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5
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June
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2
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May
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4
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April
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6
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March
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6
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February
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7
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2016
December
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7
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November
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5
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October
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3
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September
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7
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August
[
1
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July
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7
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May
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8
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April
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7
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March
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4
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February
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2
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January
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5
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2015
November
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4
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October
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5
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September
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5
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August
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4
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July
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3
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June
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19
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May
[
5
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April
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1
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March
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5
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February
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9
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January
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3
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2014
November
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2
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October
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5
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September
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4
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August
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6
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July
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8
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June
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1
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May
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3
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March
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8
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February
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3
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January
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4
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2013
December
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5
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November
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2
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October
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4
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September
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4
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August
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3
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July
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3
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June
[
5
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May
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7
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March
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18
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February
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1
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January
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1
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2012
December
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6
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November
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1
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October
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4
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September
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4
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August
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7
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July
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2
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June
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1
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May
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2
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April
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7
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March
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6
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February
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7
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January
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13
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2011
December
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3
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November
[
1
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October
[
7
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August
[
9
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July
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3
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June
[
7
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May
[
3
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March
[
6
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February
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8
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January
[
6
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2010
December
[
4
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November
[
1
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October
[
6
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September
[
1
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August
[
6
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July
[
6
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May
[
5
]
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Original Article:
International telepathology consultation: Three years of experience between the University of Pittsburgh Medical Center and KingMed Diagnostics in China
Chengquan Zhao, Tao Wu, Xiangdong Ding, Anil V Parwani, Hualin Chen, Jeffrey McHugh, Anthony Piccoli, Qinling Xie, Gonzalo Romero Lauro, Xiaodong Feng, Douglas J Hartman, Raja R Seethala, Shangwei Wu, Samuel Yousem, Yaoming Liang, Liron Pantanowitz
J Pathol Inform
2015, 6:63 (27 November 2015)
DOI
:10.4103/2153-3539.170650
PMID
:26730353
Background:
Telepathology is increasingly being employed to support diagnostic consultation services. Prior publications have addressed technology aspects for telepathology, whereas this paper will address the clinical telepathology experience of KingMed Diagnostics, the largest independent pathology medical laboratory in China. Beginning in 2012 the University of Pittsburgh Medical Center (UPMC) and KingMed Diagnostics partnered to establish an international telepathology consultation service.
Materials and Methods:
This is a retrospective study that summarizes the telepathology experience and diagnostic consultation results between UPMC and KingMed over a period of 3 years from January 2012 to December 2014.
Results:
A total of 1561 cases were submitted for telepathology consultation including 144 cases in 2012, 614 cases in 2013, and 803 in 2014. Most of the cases (61.4%) submitted were referred by pathologists, 36.9% by clinicians, and 1.7% by patients in China. Hematopathology received the most cases (23.7%), followed by bone/soft tissue (21.0%) and gynecologic/breast (20.2%) subspecialties. Average turnaround time (TAT) per case was 5.4 days, which decreased from 6.8 days in 2012 to 5.0 days in 2014. Immunostains were required for most of the cases. For some difficult cases, more than one round of immunostains was needed, which extended the TAT. Among 855 cases (54.7%) where a primary diagnosis or impression was provided by the referring local hospitals in China, the final diagnoses rendered by UPMC pathologists were identical in 25.6% of cases and significantly modified (treatment plan altered) in 50.8% of cases.
Conclusion:
These results indicate that international telepathology consultation can significantly improve patient care by facilitating access to pathology expertise. The success of this international digital consultation service was dependent on strong commitment and support from leadership, information technology expertise, and dedicated pathologists who understood the language and culture on both sides. Lack of clinical information, missing gross pathology descriptions, and insufficient tissue sections submitted for evaluation were the main reasons for indefinite diagnoses. The overall experience encourages international telepathology practice for second opinions.
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Technical Note:
Extraction and analysis of discrete synoptic pathology report data using R
Alexander Boag
J Pathol Inform
2015, 6:62 (27 November 2015)
DOI
:10.4103/2153-3539.170649
PMID
:26730352
Background:
Synoptic pathology reports can serve as a rich source of cancer information, particularly when the content is available as discrete electronic data fields. Our institution generates such reports as part of a province wide program in Ontario but the resulting data is not easily extracted and analyzed at the local level.
Methods:
A low cost system was developed using the open sourced and freely available R scripting/data analysis environment to parse synoptic report results into a dataframe and perform basic summary statistics.
Results:
As a pilot project text reports from 427 prostate needle biopsies were successfully read into R and the data elements split out and converted into appropriated data classes for analysis.
Conclusion:
This approach provides a simple solution at minimal cost that can make discrete synoptic report data readily available for quality assurance and research activities.
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Technical Note:
General pathologist-helper: The new medical app about general pathology
Iván Fernandez-Vega
J Pathol Inform
2015, 6:61 (27 November 2015)
DOI
:10.4103/2153-3539.170648
PMID
:26730351
Introduction:
Smartphone applications (apps) have become increasingly prevalent in medicine. Due to most pathologists, pathology trainees, technicians, and medical students use smartphones; apps can be a different way for general pathology education. “General pathologist-helper (GP-HELPER)” is a novel app developed as a reference tool in general pathology and especially for general pathologists, developed for Android and iOS platforms.
Materials and Methods:
“GP-HELPER,” was created using Mobincube website platform. This tool also integrates “FORUM GP-HELPER,” an external website created using Miarroba website (
http://forum-gp-helper.mboards.com
) and “COMMUNITY GP-HELPER” a multichannel chat created using Chatango website platform.
Results:
The application was released in July 2015, and it is been periodically updated since then. The app has permanent information (offline data) about different pathology protocols (TNM latest edition, protocols regarding management of tumors of unknown primary origin, and flowcharts for some of the most difficult tumors to diagnose) and a database with more than 5000 immunohistochemistry results from different tumors. Online data have links to more than 1100 reference pathology video lectures, 250 antibodies information, more than 70 pathology association websites, 46 pathology providers, and 78 outstanding pathology journal websites. Besides this information, the app has two interactive places such as “FORUM GP-HELPER” and “COMMUNITY GP-HELPER” that let users to stay in touch everywhere and every time. Expert consult section is also available.
Conclusions:
“GP-HELPER” pretends to integrate offline and online data about pathology with two interactive external places in order to represent a reference tool for general pathologists and associate members.
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Original Article:
Prediction of primary breast cancer size and T-stage using micro-computed tomography in lumpectomy specimens
Wafa M Sarraj, Rong Tang, Anas L Najjar, Molly Griffin, Anthony H Bui, Alan Zambeli-Ljepovic, Mike Senter-Zapata, Maya Lewin-Berlin, Leopoldo Fernandez, Juliette Buckley, Amy Ly, Elena Brachtel, Owen Aftreth, John Gilbertson, Yukako Yagi, Michele Gadd, Kevin S Hughes, Barbara L Smith, James S Michaelson
J Pathol Inform
2015, 6:60 (27 November 2015)
DOI
:10.4103/2153-3539.170647
PMID
:26730350
Background:
Histopathology is the only accepted method to measure and stage the breast tumor size. However, there is a need to find another method to measure and stage the tumor size when the pathological assessment is not available. Micro-computed tomography. (micro-CT) has the ability to measure tumor in three dimensions in an intact lumpectomy specimen. In this study, we aimed to determine the accuracy of micro-CT to measure and stage the primary tumor size in breast lumpectomy specimens, as compared to the histopathology.
Materials and Methods:
Seventy-two women who underwent lumpectomy surgery at the Massachusetts General Hospital Department of Surgery from June 2011 to September 2011, and from August 2013 to December 2013 participated in this study. The lumpectomy specimens were scanned using micro-CT followed by routine pathological processing. The maximum dimension of the invasive breast tumor was obtained from the micro-CT image and was compared to the corresponding pathology report for each subject.
Results:
The invasive tumor size measurement by micro-CT was underestimated in 24. cases. (33%), overestimated in 37. cases. (51%), and matched it exactly in 11. cases. (15%) compared to the histopathology measurement for all the cases. However, micro-CT T.stage classification differed from histopathology in only 11. (15.2%) with 6. cases. (8.3%) classified as a higher stage by micro-CT, and 5. cases. (6.9%) classified as lower compared to histopathology. In addition, micro-CT demonstrated a statically significant strong agreement (κ =0.6,
P
< 0.05) with pathological tumor size and staging for invasive ductal carcinoma. (IDC) group. In contrast, there was no agreement. (κ = .2,
P
= 0.67) between micro-CT and pathology in estimating and staging tumor size for invasive lobular carcinoma. (ILC) group. This could be explained by a small sample size. (7) for ILC group.
Conclusions:
Micro-CT is a promising modality for measuring and staging the IDC.
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