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Research Article:
Web-based oil immersion whole slide imaging increases efficiency and clinical team satisfaction in hematopathology tumor board
Zhongchuan Will Chen, Jessica Kohan, Sherrie L Perkins, Jerry W Hussong, Mohamed E Salama
J Pathol Inform
2014, 5:41 (21 October 2014)
DOI
:10.4103/2153-3539.143336
PMID
:25379347
Background:
Whole slide imaging (WSI) is widely used for education and research, but is increasingly being used to streamline clinical workflow. We present our experience with regard to satisfaction and time utilization using oil immersion WSI for presentation of blood/marrow aspirate smears, core biopsies, and tissue sections in hematology/oncology tumor board/treatment planning conferences (TPC).
Methods:
Lymph nodes and bone marrow core biopsies were scanned at ×20 magnification and blood/marrow smears at 83X under oil immersion and uploaded to an online library with areas of interest to be displayed annotated digitally via web browser. Pathologist time required to prepare slides for scanning was compared to that required to prepare for microscope projection (MP). Time required to present cases during TPC was also compared. A 10-point evaluation survey was used to assess clinician satisfaction with each presentation method.
Results:
There was no significant difference in hematopathologist preparation time between WSI and MP. However, presentation time was significantly less for WSI compared to MP as selection and annotation of slides was done prior to TPC with WSI, enabling more efficient use of TPC presentation time. Survey results showed a significant increase in satisfaction by clinical attendees with regard to image quality, efficiency of presentation of pertinent findings, aid in clinical decision-making, and overall satisfaction regarding pathology presentation. A majority of respondents also noted decreased motion sickness with WSI.
Conclusions:
Whole slide imaging, particularly with the ability to use oil scanning, provides higher quality images compared to MP and significantly increases clinician satisfaction. WSI streamlines preparation for TPC by permitting prior slide selection, resulting in greater efficiency during TPC presentation.
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Research Article:
A nuclear circularity-based classifier for diagnostic distinction of desmoplastic from spindle cell melanoma in digitized histological images
Manuel Schöchlin, Stephanie E Weissinger, Arnd R Brandes, Markus Herrmann, Peter Möller, Jochen K Lennerz
J Pathol Inform
2014, 5:40 (21 October 2014)
DOI
:10.4103/2153-3539.143335
PMID
:25379346
Context:
Distinction of spindle cell melanoma (SM) and desmoplastic melanoma (DM) is clinically important due to differences in metastatic rate and prognosis; however, histological distinction is not always straightforward. During a routine review of cases, we noted differences in nuclear circularity between SM and DM.
Aim:
The primary aim in our study was to determine whether these differences in nuclear circularity, when assessed using a basic ImageJ-based threshold extraction, can serve as a diagnostic classifier to distinguish DM from SM.
Settings
and
Design:
Our retrospective analysis of an established patient cohort (SM
n
= 9, DM
n
= 9) was employed to determine discriminatory power.
Subjects
and
Methods:
Regions of interest (total
n
= 108; 6 images per case) were selected from scanned H and E-stained histological sections, and nuclear circularity was extracted and quantified by computational image analysis using open source tools (plugins for ImageJ).
Statistical
Analysis:
Using analysis of variance,
t
-tests, and Fisher's exact tests, we compared extracted quantitative shape measures; statistical significance was defined as
P
< 0.05.
Results:
Classifying circularity values into four shape categories (spindled, elongated, oval, round) demonstrated significant differences in the spindled and round categories. Paradoxically, DM contained more spindled nuclei than SM (
P
= 0.011) and SM contained more round nuclei than DM (
P
= 0.026). Performance assessment using a combined shape-classification of the round and spindled fractions showed 88.9% accuracy and a Youden index of 0.77.
Conclusions:
Spindle cell melanoma and DM differ significantly in their nuclear morphology with respect to fractions of round and spindled nuclei. Our study demonstrates that quantifying nuclear circularity can be used as an adjunct diagnostic tool for distinction of DM and SM.
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© Journal of Pathology Informatics | Published by Wolters Kluwer -
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Online since 10
th
March, 2010