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  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

twitter
9 X users
f1000
1 research highlight platform

Readers on

mendeley
63 Mendeley
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Article details
Title
Magnetic resonance based texture parameters as potential imaging biomarkers for predicting long‐term survival in locally advanced rectal cancer treated by chemoradiotherapy
Published in
Colorectal Disease, April 2017
DOI 10.1111/codi.13496
Pubmed ID
Authors
Abstract

The study aimed to investigate whether textural features of rectal cancer on magnetic resonance imaging (MRI) can predict long term survival in patients treated with long-course chemoradiotherapy. Textural analysis (TA) using a filtration-histogram technique of T2-weighted pre- and six-week post chemoradiotherapy MRI was undertaken using TexRAD, a proprietary software algorithm. Regions of interest enclosing the largest cross-sectional area of the tumour were manually delineated on the axial images and filtration-step extracted features at different anatomical scales (fine, medium, and coarse) followed by quantification of statistical features (mean intensity, standard-deviation, entropy, skewness, kurtosis and mean of positive pixels [MPP]) using histogram analysis. Cox multiple regression analysis determined which univariate features including textural, radiological and histological, independently predicted overall survival (OS), disease free survival (DFS) and recurrence-free survival (RFS). MPP (fine-texture, HR: 6.9, 95% CI [2.43-19.55], p= <0.001), mean (medium-texture, HR: 5.6 [1.4-21.7], p=0.007) and extramural venous invasion (EMVI) on MRI (HR: 2.96, [1.04-8.37], p=0.041) independently predicted OS while mean (medium texture, HR: 4.53, [1.58-12.94], p=0.003), MPP (fine texture, HR: 3.36 [1.36-8.31], p=0.008) and threatened circumferential resection margin (CRM) on MRI (HR: 3.1 [1.01-9.46], p=0.046) predicted DFS. For OS; EMVI on MRI (HR: 4.23 [1.41-12.69], p=0.01) and for DFS; kurtosis (medium-texture, HR: 3.97 [1.44-10.94], p=0.007) and CRM involvement on MRI (HR: 3.36 [1.21-9.32], p=0.02) were the independent post-treatment factors. Only TA independently predicted RFS on pre- or post-treatment analyses. MR based TA of rectal cancers can predict outcome before undergoing surgery and could potentially select patients for individualized therapy. This article is protected by copyright. All rights reserved.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 13 21%
Student > Ph. D. Student 9 14%
Student > Postgraduate 8 13%
Student > Bachelor 6 10%
Student > Master 6 10%
Other 7 11%
Unknown 14 22%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 33 52%
Biochemistry, Genetics and Molecular Biology 3 5%
Engineering 3 5%
Nursing and Health Professions 2 3%
Veterinary Science and Veterinary Medicine 1 2%
Other 4 6%
Unknown 17 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 22 November 2018.
All research outputs
#9,220,678
of 34,226,562 outputs
Outputs from Colorectal Disease
#1,678
of 3,824 outputs
Outputs of similar age
#105,141
of 353,368 outputs
Outputs of similar age from Colorectal Disease
#16
of 39 outputs
Altmetric has tracked 34,226,562 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 3,824 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one has gotten more attention than average, scoring higher than 55% 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 353,368 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.