Image Based Grading of Emphysema
Nishi Shahnaj Haider1, Sibu Thomas2, Akhilesh Kumar Shrivas3
1Nishi Shahnaj Haider*, Department of Biomedical Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India
2Sibu Thomas, Department of Computer Science, C V Raman University, Bilaspur, Chhattisgarh, India
3Akhilesh Kumar Shrivas, Department of Computer Science, C V Raman University, Bilaspur, Chhattisgarh, India
Manuscript received on May 16, 2020. | Revised Manuscript received on May 30, 2020. | Manuscript published on June 10, 2020. | PP: 518-523 | Volume-9 Issue-8, June 2020. | Retrieval Number: H6578069820/2020©BEIESP | DOI: 10.35940/ijitee.H6578.069820
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Emphysema is permanent abnormal enlargement of alveolar walls due to destruction of the alveolar tissues and thereby affecting the gas exchange process of lungs. Grading is usually done to rank the severity of the disease. This paper is a comprehensive review of the imaging based methods used to monitor the emphysema severity. This article aims at the identification of the best imaging method for emphysema grading. Correlation of imaging outcome with pulmonary function parameters is analyzed. Time frame of reviewed articles included is from 2002 to till date. In this review, the classification methods employed for grading emphysema are examined. The best grading method was chosen based on the superior performance obtained in comparison to all the existing work available so far in grading the severity of emphysema. Three dimensional CT densitometry is found to be highly significant with a correlation coefficient of r = 0.97 at significance value, p < 0.001 for the classification of moderate to very severe emphysema as compared to pulmonary function test (PFT). Further research needs to be done to identify methods for evaluating the progress of emphysema during its mild stage.
Keywords: Chronic Obstructive Pulmonary Disease, Disease Severity, Emphysema, Grading, Imaging.
Scope of the Article: Biomedical Computing