↓ Skip to main content

Differentiation of squamous cell carcinoma and inverted papilloma using non-invasive MR perfusion imaging

Overview of attention for article published in Dentomaxillofacial Radiology, June 2015
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

twitter
2 X users

Readers on

mendeley
22 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Differentiation of squamous cell carcinoma and inverted papilloma using non-invasive MR perfusion imaging
Published in
Dentomaxillofacial Radiology, June 2015
DOI 10.1259/dmfr.20150074
Pubmed ID
Authors
Abstract

To investigate the diagnostic value of tumor blood flow (TBF) obtained with pseudo-continuous arterial spin labeling (pCASL) for the differentiation of squamous cell carcinoma (SCC) and inverted papilloma (IP) in the nasal or sinonasal cavity. We retrospectively analyzed the cases of 33 patients with SCC and eight patients with IP in the nasal or sinonasal cavity. pCASL scanning was performed for all patients using a 3T MR-unit. Quantitative TBF values were measured by two neuroradiologists by respectively delineating the whole-tumor region of interest (ROIs), and the mean of them was determined as TBF value in each patient. Additionally, the presence of imaging findings of convoluted cerebriform pattern (CCP) on MR-T2WI was determined in all patients. As a subgroup analysis, patients with IP were divided into aggressive and non-aggressive IPs depending on their progression range. First, an intraclass correlation coefficient (ICC) of TBF values between two neuroradiologists was determined. Next, a statistical comparison of the TBF value by a Mann-Whitney U-test between the SCC and IP patients was performed. Additionally, the comparison by a one-way analysis of variance (ANOVA) with a post-hoc test of Tukey's method between the SCC, non-aggressive IP, and aggressive IP groups was also performed. If significance was observed, the diagnostic accuracy to differentiate SCCs from IPs was calculated. Diagnostic accuracy by CPP findings alone and by the combination of CPP findings and TBF were also assessed. The ICC of TBF values between two neuroradiologists was 0.82. The mean TBF values in the patients with SCC, all patients with IP, those with aggressive IP, and those with non-aggressive IP were 141.2 ± 33.1, 77.8 ± 31.5, 109.4 ± 16.7, and 58.8 ± 19.9 mL/100g/min, respectively. A significant difference was observed between SCC and IP (p<0.001), SCC and non-aggressive IP (p<0.01), and non-aggressive IP and aggressive IP (p<0.01). The diagnostic accuracy values obtained with ROC curve analysis for the differentiation of SCC from IP and for SCC from non-aggressive IP were 0.90 and 0.92, respectively. The diagnostic accuracy was elevated (0.95 from 0.88) by adding the TBF value to CPP findings. The pCASL technique can be a useful noninvasive diagnostic tool to differentiate SCC from IP in nasal or sinonasal cavity.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 3 14%
Researcher 3 14%
Student > Doctoral Student 2 9%
Professor 2 9%
Other 1 5%
Other 4 18%
Unknown 7 32%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 10 45%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Biochemistry, Genetics and Molecular Biology 1 5%
Mathematics 1 5%
Engineering 1 5%
Other 0 0%
Unknown 8 36%
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 10 June 2015.
All research outputs
#19,947,956
of 25,377,790 outputs
Outputs from Dentomaxillofacial Radiology
#302
of 573 outputs
Outputs of similar age
#191,909
of 280,069 outputs
Outputs of similar age from Dentomaxillofacial Radiology
#7
of 18 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 573 research outputs from this source. They receive a mean Attention Score of 2.5. 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 280,069 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% 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 has gotten more attention than average, scoring higher than 61% of its contemporaries.