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Texture analysis on MR images helps predicting non-response to NAC in breast cancer

Overview of attention for article published in BMC Cancer, August 2015
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3 tweeters

Citations

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61 Dimensions

Readers on

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74 Mendeley
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Title
Texture analysis on MR images helps predicting non-response to NAC in breast cancer
Published in
BMC Cancer, August 2015
DOI 10.1186/s12885-015-1563-8
Pubmed ID
Authors

N. Michoux, S. Van den Broeck, L. Lacoste, L. Fellah, C. Galant, M. Berlière, I. Leconte

Abstract

To assess the performance of a predictive model of non-response to neoadjuvant chemotherapy (NAC) in patients with breast cancer based on texture, kinetic, and BI-RADS parameters measured from dynamic MRI. Sixty-nine patients with invasive ductal carcinoma of the breast who underwent pre-treatment MRI were studied. Morphological parameters and biological markers were measured. Pathological complete response was defined as the absence of invasive and in situ cancer in breast and nodes. Pathological non-responders, partial and complete responders were identified. Dynamic imaging was performed at 1.5 T with a 3D axial T1W GRE fat-suppressed sequence. Visual texture, kinetic and BI-RADS parameters were measured in each lesion. ROC analysis and leave-one-out cross-validation were used to assess the performance of individual parameters, then the performance of multi-parametric models in predicting non-response to NAC. A model based on four pre-NAC parameters (inverse difference moment, GLN, LRHGE, wash-in) and k-means clustering as statistical classifier identified non-responders with 84 % sensitivity. BI-RADS mass/non-mass enhancement, biological markers and histological grade did not contribute significantly to the prediction. Pre-NAC texture and kinetic parameters help predicting non-benefit to NAC. Further testing including larger groups of patients with different tumor subtypes is needed to improve the generalization properties and validate the performance of the predictive model.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 74 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 23%
Student > Master 9 12%
Student > Doctoral Student 8 11%
Other 8 11%
Student > Bachelor 5 7%
Other 11 15%
Unknown 16 22%
Readers by discipline Count As %
Medicine and Dentistry 24 32%
Engineering 14 19%
Physics and Astronomy 3 4%
Agricultural and Biological Sciences 3 4%
Nursing and Health Professions 2 3%
Other 6 8%
Unknown 22 30%

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 06 August 2015.
All research outputs
#2,896,564
of 5,450,695 outputs
Outputs from BMC Cancer
#1,250
of 2,900 outputs
Outputs of similar age
#103,554
of 190,015 outputs
Outputs of similar age from BMC Cancer
#73
of 151 outputs
Altmetric has tracked 5,450,695 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,900 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 45th percentile – i.e., 45% 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 190,015 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 151 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.