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Comparison of digital image analysis and visual scoring of KI-67 in prostate cancer prognosis after prostatectomy

Overview of attention for article published in Diagnostic Pathology, June 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#47 of 1,158)
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

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7 X users
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2 patents

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45 Mendeley
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Title
Comparison of digital image analysis and visual scoring of KI-67 in prostate cancer prognosis after prostatectomy
Published in
Diagnostic Pathology, June 2015
DOI 10.1186/s13000-015-0294-0
Pubmed ID
Authors

Patrice Desmeules, Hélène Hovington, Molière Nguilé-Makao, Caroline Léger, André Caron, Louis Lacombe, Yves Fradet, Bernard Têtu, Vincent Fradet

Abstract

The tumor proliferative index marker Ki-67 was shown to be associated with clinically significant outcomes in prostate cancer, but its clinical application has limitations due to lack of uniformity and consistency in quantification. Our objective was to compare the measurements obtained with digital image analysis (DIA) versus virtual microscopy (visual scoring (VS)). To do so, we compared the measurement distributions of each technique and their ability to predict clinically useful endpoints. A tissue microarray series from a cohort of 225 men who underwent radical prostatectomy was immunostained for Ki-67. The percentage of Ki-67 positive nuclei in malignant cells was assessed both by VS and DIA, and a H-score was calculated. The distribution and predictive ability of these scoring methods to predict biochemical recurrence (BCR) and death from prostate cancer (DPCa) were compared using Mann-Whitney test and C-index. The measurements obtained with VS were similar to the DIA measurements (p = 0.73) but dissimilar to the H-score (p < 0.001). Cox regression models showed that Ki-67 was associated with BCR (HR 1.46, 95 % CI 1.10-1.94) and DPCa (HR 1.26, 95 % CI 1.06-1.50). C-indexes revealed that Ki-67 was a better predictor of DPCa (0.803, 0.8059 and 0.789; VS, DIA and H-score, respectively) than of BCR (0.625, 0.632 and 0.604; VS, DIA and H-score, respectively). The measurement distributions and the predictive abilities of VS and DIA were similar and presented the same predictive behaviour in our cohort, supporting the role of Ki-67 proliferative index as an important prognostic factor of BCR and DPCa in prostate cancer post RP. The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/6656878501536663.

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X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 2%
Unknown 44 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 16%
Other 5 11%
Student > Bachelor 5 11%
Student > Ph. D. Student 5 11%
Student > Postgraduate 4 9%
Other 7 16%
Unknown 12 27%
Readers by discipline Count As %
Medicine and Dentistry 16 36%
Computer Science 4 9%
Biochemistry, Genetics and Molecular Biology 3 7%
Engineering 2 4%
Environmental Science 1 2%
Other 4 9%
Unknown 15 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 19 January 2023.
All research outputs
#2,985,707
of 23,565,002 outputs
Outputs from Diagnostic Pathology
#47
of 1,158 outputs
Outputs of similar age
#38,839
of 266,158 outputs
Outputs of similar age from Diagnostic Pathology
#4
of 80 outputs
Altmetric has tracked 23,565,002 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,158 research outputs from this source. They receive a mean Attention Score of 2.9. This one has done particularly well, scoring higher than 95% of its peers.
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 266,158 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 80 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.