Clinical utility and limitations of tumor-feeder detection software for liver cancer embolization

2013 ◽  
Vol 82 (10) ◽  
pp. 1665-1671 ◽  
Author(s):  
Jin Iwazawa ◽  
Shoichi Ohue ◽  
Naoko Hashimoto ◽  
Osamu Muramoto ◽  
Takashi Mitani
Keyword(s):  
Liver Cancer ◽  
Clinical Utility ◽  
Detection Software

Clinical utility of multipolar ablation with a 3-D simulator system for patients with liver cancer

2017 ◽  
Vol 32 (11) ◽  
pp. 1852-1858 ◽  
Author(s):  
Masashi Hirooka ◽  
Yohei Koizumi ◽  
Yusuke Imai ◽  
Yoshiko Nakamura ◽  
Atsushi Yukimoto ◽  
...  
Keyword(s):  
Liver Cancer ◽  
Clinical Utility

Type V Bekesy Pattern: Interpretation and Clinical Utility

1967 ◽  
Vol 10 (4) ◽  
pp. 733-744 ◽  
Author(s):  
William F. Rintelmann ◽  
Earl R. Harford
Keyword(s):  
Clinical Utility ◽  
The Past ◽  
Type V ◽  
Clinical Cases

Recent studies indicate there is some disagreement concerning the interpretation and clinical utility of the Type V Bekesy pattern. Bekesy tracings obtained over the past six years from a sample of clinical cases were analyzed and a definition was established for the Type V pattern. This definition was applied to Bekesy tracings obtained from normal listeners, hypoacusics, and pseudohypoacusics. The Type V pattern was found frequently among pseudohypoacusics and only rarely among other individuals.

“I Can See What You’re Saying”: Clinical Utility of Spectral Moment Analysis

2011 ◽  
Vol 21 (2) ◽  
pp. 44-54
Author(s):  
Kerry Callahan Mandulak
Keyword(s):  
Speech Production ◽  
Speech Signal ◽  
Clinical Utility ◽  
Acoustic Analysis ◽  
Moment Analysis ◽  
Analysis Tool ◽  
Spectral Moment ◽  
Clinical Measure ◽  
Perceptual Analysis ◽  
Disordered Speech

Spectral moment analysis (SMA) is an acoustic analysis tool that shows promise for enhancing our understanding of normal and disordered speech production. It can augment auditory-perceptual analysis used to investigate differences across speakers and groups and can provide unique information regarding specific aspects of the speech signal. The purpose of this paper is to illustrate the utility of SMA as a clinical measure for both clinical speech production assessment and research applications documenting speech outcome measurements. Although acoustic analysis has become more readily available and accessible, clinicians need training with, and exposure to, acoustic analysis methods in order to integrate them into traditional methods used to assess speech production.

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