| Title |
Usefulness of perfusion- and diffusion-weighted imaging to differentiate between pilocytic astrocytomas and high-grade gliomas: a multicenter study in Japan
|
|---|---|
| Published in |
Neuroradiology, February 2018
|
| DOI | 10.1007/s00234-018-1991-7 |
| Pubmed ID | |
| Authors |
Kazufumi Kikuchi, Akio Hiwatashi, Osamu Togao, Koji Yamashita, Ryotaro Kamei, Mika Kitajima, Masafumi Kanoto, Hiroto Takahashi, Yusuke Uchiyama, Masafumi Harada, Yuki Shinohara, Takashi Yoshiura, Yuki Wakata, Hiroshi Honda |
| Abstract |
Imaging findings of pilocytic astrocytoma (PA) vary widely, sometimes resembling those of high-grade glioma (HGG). This study aimed to identify the imaging parameters that can be used to differentiate PA from HGG. Altogether, 60 patients with PAs and 138 patients with HGGs were included in the study. Tumor properties and the presence of hydrocephalus, peritumoral edema, and dissemination were evaluated. We also measured the maximum relative cerebral blood flow (rCBFmax) and volume (rCBVmax) and determined the minimum apparent diffusion coefficient (ADCmin) in the tumor's solid components. The relative T1 (rT1), T2 (rT2), and contrast-enhanced T1 (rCE-T1) intensity values were evaluated. Parameters were compared between PAs and HGGs using the Mann-Whitney U test. Receiver operating characteristic (ROC) curve analysis was also used to evaluate these imaging parameters. A value of P < .05 was considered to indicate significance. Intratumoral hemorrhage and calcification were observed in 10.0% and 21.7% of PAs, respectively. The rCBFmaxand rCBVmaxvalues were significantly lower in PAs (0.50 ± 0.35, 1.82 ± 1.21) than those in HGGs (2.98 ± 1.80, 9.54 ± 6.88) (P < .0001, P = .0002, respectively). The ADCminvalues were significantly higher in PAs (1.36 ± 0.56 × 10-3 mm2/s) than those in HGGs (0.86 ± 0.37 × 10-3 mm2/s) (P < .0001). ROC analysis showed that the best diagnostic performance was achieved with rCBFmax. The rCBFmax, rCBVmax, and ADCmincan differentiate PAs from HGGs. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 21% |
| Student > Master | 6 | 21% |
| Other | 3 | 11% |
| Student > Bachelor | 2 | 7% |
| Professor > Associate Professor | 2 | 7% |
| Other | 5 | 18% |
| Unknown | 4 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 32% |
| Neuroscience | 4 | 14% |
| Engineering | 2 | 7% |
| Physics and Astronomy | 2 | 7% |
| Social Sciences | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 8 | 29% |
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 24 August 2018.
All research outputs
#18,591,506
of 23,028,364 outputs
Outputs from Neuroradiology
#916
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Outputs of similar age
#356,264
of 474,300 outputs
Outputs of similar age from Neuroradiology
#9
of 29 outputs
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