- Author:
	        		
		        		
		        		
			        		Seiji OHTORI
			        		
			        		
			        		
			        			1
			        			
			        		
			        		
			        		
			        		
			        		;
		        		
		        		
		        		
			        		Hiroshi KAWAGUCHI
			        		
			        		;
		        		
		        		
		        		
			        		Tsuneo TAKEBAYASHI
			        		
			        		;
		        		
		        		
		        		
			        		Sumihisa ORITA
			        		
			        		;
		        		
		        		
		        		
			        		Gen INOUE
			        		
			        		;
		        		
		        		
		        		
			        		Kazuyo YAMAUCHI
			        		
			        		;
		        		
		        		
		        		
			        		Yasuchika AOKI
			        		
			        		;
		        		
		        		
		        		
			        		Junichi NAKAMURA
			        		
			        		;
		        		
		        		
		        		
			        		Tetsuhiro ISHIKAWA
			        		
			        		;
		        		
		        		
		        		
			        		Masayuki MIYAGI
			        		
			        		;
		        		
		        		
		        		
			        		Hiroto KAMODA
			        		
			        		;
		        		
		        		
		        		
			        		Miyako SUZUKI
			        		
			        		;
		        		
		        		
		        		
			        		Gou KUBOTA
			        		
			        		;
		        		
		        		
		        		
			        		Yoshihiro SAKUMA
			        		
			        		;
		        		
		        		
		        		
			        		Yasuhiro OIKAWA
			        		
			        		;
		        		
		        		
		        		
			        		Kazuhide INAGE
			        		
			        		;
		        		
		        		
		        		
			        		Takeshi SAINOH
			        		
			        		;
		        		
		        		
		        		
			        		Jun SATO
			        		
			        		;
		        		
		        		
		        		
			        		Kazuhisa TAKAHASHI
			        		
			        		;
		        		
		        		
		        		
			        		Shinichi KONNO
			        		
			        		
		        		
		        		
		        		
			        		
			        		Author Information
			        		
 - Publication Type:Original Article
 - Keywords: PainVision; Low back pain; Tool; Assessment
 - MeSH: Electrodes; Forearm; Humans; Low Back Pain*; Pain Measurement; Surveys and Questionnaires
 - From:Asian Spine Journal 2014;8(6):793-798
 - CountryRepublic of Korea
 - Language:English
 - Abstract: STUDY DESIGN: Case series. PURPOSE: To determine the utility of "PainVision" apparatus for the assessment of low back pain. OVERVIEW OF LITERATURE: A newly developed device, the PainVision PS-2100 (Nipro, Osaka, Japan), has been used to assess the perception of pain in a quantitative manner. In the current study, we aimed to evaluate the efficacy of PainVision for the assessment of low back pain. METHODS: We assessed 89 patients with low back pain. The numeric rating scale (NRS) score, McGill Pain Questionnaire (MPQ) score and the degree of pain calculated by PainVision were measured twice at 4-week intervals in each patient. An electrode was patched on the forearm surface of the patients and the degree of pain was automatically calculated (degree of pain=100x[current producing pain comparable with low back pain-current at perception threshold/current at perception threshold]). Correlations between NRS and MPQ scores and the degree of pain were determined using Spearman's rank correlation test. RESULTS: There was a strong correlation between the NRS and MPQ scores at each time point (rs =0.60, p<0.0001). The degree of pain also showed a moderate correlation with NRS and MPQ scores at each time point (rs =0.40, p<0.03). The change in the degree of pain over 4 weeks showed a moderate correlation with changes in the NRS and MPQ scores (rs =0.40, p<0.01). CONCLUSIONS: PainVision as self-reported questionnaires is a useful tool to assess low back pain.
 
            
