| Title |
Pre-TACE kurtosis of ADCtotal derived from histogram analysis for diffusion-weighted imaging is the best independent predictor of prognosis in hepatocellular carcinoma
|
|---|---|
| Published in |
European Radiology, June 2018
|
| DOI | 10.1007/s00330-018-5482-3 |
| Pubmed ID | |
| Authors |
Li-Fang Wu, Sheng-Xiang Rao, Peng-Ju Xu, Li Yang, Cai-Zhong Chen, Hao Liu, Jian-Feng Huang, Cai-Xia Fu, Alice Halim, Meng-Su Zeng |
| Abstract |
To determine the feasibility of pre-TACE IVIM imaging based on histogram analysis for predicting prognosis in the treatment of unresectable hepatocellular carcinoma (HCC). Fifty-five patients prospectively underwent 1.5T MRI 1 week before TACE. Histogram metrics for IVIM parameters and ADCs maps between responders and non-responders with mRECIST assessment were compared. Kaplan-Meier, log-rank tests and Cox proportional hazard regression model were used to correlate variables with time to progression (TTP). Mean (p = 0.022), median (p = 0.043), and 25th percentile (p < 0.001) of perfusion fraction (PF), mean (p < 0.001), median (p < 0.001), 25th percentile (p < 0.001) and 75th percentile (p = 0.001) of ADC(0,500), mean (p = 0.005), median (p = 0.008) and 25th percentile (p = 0.039) of ADCtotal were higher, while skewness and kurtosis of PF (p = 0.001, p = 0.005, respectively), kurtosis of ADC(0,500) and ADCtotal (p = 0.005, p = 0.001, respectively) were lower in responders compared to non-responders. Multivariable analysis demonstrated that mRECIST was associated with TTP independently, and kurtosis of ADCtotal had the best predictive performance for disease progression. Pre-TACE kurtosis of ADCtotal is the best independent predictor for TTP. • mRECIST was associated with TTP independently. • Lower kurtosis and higher mean for ADCs tend to have good response. • Pre-TACE kurtosis of ADC total is the best independent predictor for TTP. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 2 | 11% |
| Unspecified | 1 | 6% |
| Librarian | 1 | 6% |
| Other | 1 | 6% |
| Professor | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 10 | 56% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 33% |
| Agricultural and Biological Sciences | 1 | 6% |
| Unspecified | 1 | 6% |
| Unknown | 10 | 56% |
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 22 June 2018.
All research outputs
#15,538,060
of 23,092,602 outputs
Outputs from European Radiology
#2,490
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Outputs of similar age
#208,380
of 328,040 outputs
Outputs of similar age from European Radiology
#47
of 91 outputs
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