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Development of a silver in situ hybridisation based assay for the determination of ploidy status in molar pregnancy diagnosis

Overview of attention for article published in Pathology, January 2014
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Title
Development of a silver in situ hybridisation based assay for the determination of ploidy status in molar pregnancy diagnosis
Published in
Pathology, January 2014
DOI 10.1097/pat.0000000000000025
Pubmed ID
Authors

Laurence A. Galea, Marsali Newman, Rita S.C. Au, Trishe Y. Leong, David S. Williams

Abstract

The aim of this study was to establish a scoring method for ploidy analysis using silver in situ hybridisation (SISH) with a chromosome 17 centromere probe. SISH was performed using the Ventana chromosome 17 centromere probe on sections from formalin fixed, paraffin embedded archival cases of complete hydatidiform moles, partial hydatidiform moles and hydropic products of conception with previously established ploidy status (determined by flow cytometry or karyotyping). In order to determine ploidy status, a scoring method was developed based on both the average number of signals per nucleus (ASN) and the percentage of nuclei with three signals (N3S), enumerated in 50 villous cytotrophoblastic and/or stromal cells. The results of four independent observers were compared individually and collectively with previously established ploidy status. There was a highly statistically significant difference between diploid and triploid gestations for ASN (1.86 ± 0.13 and 2.70 ± 0.16 respectively, Student t-test, p < 0.0001) and for N3S (1.14 ± 1.65 and 71.59 ± 14.25 respectively, Student t-test, p < 0.0001). The sensitivity and specificity of the SISH-based assay was 99.1% and 100% respectively for ASN, and 100% and 100% respectively for N3S. A chromosome 17 centromere probe SISH-based assay can reliably distinguish between diploid and triploid gestations. This test has diagnostic utility in distinguishing partial hydatidiform moles from histological mimics.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 19%
Student > Ph. D. Student 3 19%
Student > Bachelor 1 6%
Student > Doctoral Student 1 6%
Professor 1 6%
Other 1 6%
Unknown 6 38%
Readers by discipline Count As %
Medicine and Dentistry 5 31%
Computer Science 2 13%
Biochemistry, Genetics and Molecular Biology 1 6%
Chemical Engineering 1 6%
Agricultural and Biological Sciences 1 6%
Other 0 0%
Unknown 6 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 December 2013.
All research outputs
#20,656,820
of 25,374,917 outputs
Outputs from Pathology
#1,032
of 1,528 outputs
Outputs of similar age
#243,191
of 319,281 outputs
Outputs of similar age from Pathology
#43
of 91 outputs
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So far Altmetric has tracked 1,528 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
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We're also able to compare this research output to 91 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.