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Histological criteria for atypical pituitary adenomas – data from the German pituitary adenoma registry suggests modifications

Overview of attention for article published in Acta Neuropathologica Communications, August 2015
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Title
Histological criteria for atypical pituitary adenomas – data from the German pituitary adenoma registry suggests modifications
Published in
Acta Neuropathologica Communications, August 2015
DOI 10.1186/s40478-015-0229-8
Pubmed ID
Authors

Christian P. Miermeister, Stephan Petersenn, Michael Buchfelder, Rudolf Fahlbusch, Dieter K. Lüdecke, Annett Hölsken, Markus Bergmann, Hans Ulrich Knappe, Volkmar H. Hans, Jörg Flitsch, Wolfgang Saeger, Rolf Buslei

Abstract

The term atypical pituitary adenoma (APA) was revised in the 2004 World Health Organization (WHO) classification of pituitary tumors. However, two of the four parameters required for the diagnosis of APAs were formulated rather vaguely (i.e., "extensive" nuclear staining for p53; "elevated" mitotic index). Based on a case-control study using a representative cohort of typical pituitary adenomas and APAs selected from the German Pituitary Tumor Registry, we aimed to obtain reliable cut-off values for both p53 and the mitotic index. In addition, we analyzed the impact of all four individual parameters (invasiveness, Ki67-index, p53, mitotic index) on the selectivity for differentiating both adenoma subtypes. Of the 308 patients included in the study, 98 were diagnosed as APAs (incidence 2.9 %) and 10 patients suffered from a pituitary carcinoma (incidence 0.2 %). As a control group, we selected 200 group matched patients with typical pituitary adenomas (TPAs). Cut-off values were attained using ROC analysis. We determined significant threshold values for p53 (≥2 %; AUC: 0.94) and the mitotic index (≥2 mitosis within 10 high power fields; AUC: 0.89). The most reliable individual marker for differentiating TPAs and APAs was a Ki-67-labeling index ≥ 4 % (AUC: 0.98). Using logistic regression analysis (LRA) we were able to show that all four criteria (Ki-67 (p < 0.001); OR 5.2// p53 (p < 0.001); OR 3.1// mitotic index (p < 0.001); OR 2.1// invasiveness (p < 0.001); OR 8.2)) were significant for the group of APAs. Furthermore, we describe the presence of nucleoli as a new favorable parameter for TPAs (p = 0.008; OR: 0.4; CI95 %: 0.18; 0.77). Here we present a proposed rectification of the current WHO classification of pituitary tumors describing an additional marker for TPA and specific threshold values for p53 and the mitotic index. This will greatly help in the reliable diagnosis of APAs and facilitate further studies to ascertain the prognostic relevance of this categorization.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Russia 1 2%
Germany 1 2%
Unknown 58 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 13%
Student > Postgraduate 8 13%
Student > Bachelor 7 11%
Student > Doctoral Student 5 8%
Other 5 8%
Other 18 30%
Unknown 10 16%
Readers by discipline Count As %
Medicine and Dentistry 36 59%
Neuroscience 4 7%
Biochemistry, Genetics and Molecular Biology 3 5%
Nursing and Health Professions 2 3%
Agricultural and Biological Sciences 1 2%
Other 1 2%
Unknown 14 23%
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 08 June 2016.
All research outputs
#15,377,214
of 22,876,619 outputs
Outputs from Acta Neuropathologica Communications
#1,140
of 1,379 outputs
Outputs of similar age
#156,289
of 266,245 outputs
Outputs of similar age from Acta Neuropathologica Communications
#15
of 18 outputs
Altmetric has tracked 22,876,619 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,379 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.8. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 266,245 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.