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A Method for Visual Scoring of Pulmonary Mycobacterium Avium Complex Disease: andldquo; NICE Scoring System andrdquo; | OMICS International | Abstract
ISSN: 2161-1068

Mycobacterial Diseases
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Research Article

A Method for Visual Scoring of Pulmonary Mycobacterium Avium Complex Disease: “ NICE Scoring System ”

Atsuyuki Kurashima1,2*, Kozo Morimoto3, Mitsuko Horibe4, Yoshihiko Hoshino5, Yuji Shiraishi3 and Shoji Kudoh3

1Clinical Research Advisor, Fukujuji Hospital, Japan Anti-Tuberculosis Association, Japan

2Department of Respiratory Medicine, National Hospital Organization Tokyo Hospital, Japan

3Respiratory Disease Center, Fukujuji Hospital, Japan Anti-Tuberculosis Association, Japan

4Department of Radiology, National Hospital Organization Tokyo Hospital, Japan

5National Institute of Infectious Diseases, Japan

Corresponding Author:
Atsuyuki Kurashima
Fukujuji Hospital
Japan Anti-Tuberculsosis Association
3-1-24 Matsuyama, Kiyose-shi
Tokyo 204-8522, Japan
Tel: +81 424 91 4111
Fax: +81 424 92 4765
E-mail: [email protected]

Received Date: July 15, 2013; Accepted Date: September 16, 2013; Published Date: September 20, 2013

Citation: Kurashima A, Morimoto K, Horibe M, Hoshino Y, Shiraishi Y, et al. (2013) A Method for Visual Scoring of Pulmonary Mycobacterium Avium Complex Disease: “NICE Scoring System”. J Mycobac Dis 3:127. doi:10.4172/2161-1068.1000127

Copyright: © 2013 Kurashima A, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


Recently, increase of non-HIV nontuberculous lung disease has been noticed but the chemotherapy of this disease is prolonged because no bactericidal drugs are available. To correctively evaluate the course of disease, X-ray images have been the most reliable method. Yet a quantitative assessment has not been established. Method: Image of M. avium complex lung disease (MAC) is composed of nodule, infiltration (consolidation), cavity and bronchiectasis. We assess the occupied area of each factor on 6-divided lung field, and constructed a system named “NICE scoring system” on PC that makes it possible to easily score in actual practice. Results: This method is well performed for chest radiography (CXR) images and also CT images. Validation tests of intra rater, inter rater and scoring for identical case by CXR images versus CT images show moderate to substantial kappa statistics and significant correlations. Conclusion: This method is useful to evaluate the radiographic image of MAC lung disease.


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