Tae Iwasawa1, Yuma Iwao2, Tamiko Takemura3, Koji Okudela4, Toshiyuki Gotoh5, Tomohisa Baba6, Takashi Ogura6, Mari S Oba7. 1. Department of Radiology, Kanagawa Cardiovascular and Respiratory Center, 6-16-1, Tomioka-higashi, Kanazawa-ku, Yokohama, 236-8651, Japan. tae_i_md@wb3.so-net.ne.jp. 2. National Institutes for Quantum and Radiological Science and Technology, Chiba, Japan. 3. Department of Pathology, Japanese Red Cross Medical Center, Tokyo, Japan. 4. Department of Pathology, Graduate School of Medicine, Yokohama City University, Yokohama, Japan. 5. Graduate School of Environment and Information Sciences, Yokohama National University, Yokohama, Japan. 6. Department of Respiratory Medicine, Kanagawa Cardiovascular and Respiratory Center, Kanagawa, Japan. 7. Department of Biostatistics and Epidemiology, Toho University School of Medicine, Yokohama, Japan.
Abstract
PURPOSE: To quantify lesions in the subpleural lung region (SubPL) on computed tomography (CT) images and to evaluate whether they are useful for detecting interstitial lung disease (ILD). MATERIALS AND METHODS: The subjects were 40 patients with idiopathic pulmonary fibrosis (IPF) diagnosed by multidisciplinary methods and 35 age-matched patients without ILDs. The lungs and SubPL were extracted from CT images using a Gaussian histogram normalized correlation system and evaluated for the mean CT attenuation value (CTmean) and the percentage of high attenuation area (%HAA), exceeding -700 Hounsfield units. The H pattern was defined as a honeycomb appearance and/or fibrosis with traction bronchiectasis, and the H-pattern volume ratios for the whole lung and the 2-mm-wide SubPL were measured. The utility of the SubPL for detecting ILD was evaluated by receiver operating characteristic (ROC) analysis. RESULTS: The areas under the ROC curves (AUCs) of CTmean and %HAA for the SubPL were greater than those for the whole lung. The AUCs for the whole lung and the SubPL were 0.990 and 0.994, respectively, for H-pattern volume; 0.875 and 0.994, respectively, for CTmean; and 0.965 and 0.991, respectively, for %HAA. CONCLUSION: The SubPL extraction method may be helpful for distinguishing patients with ILD from those without ILD.
PURPOSE: To quantify lesions in the subpleural lung region (SubPL) on computed tomography (CT) images and to evaluate whether they are useful for detecting interstitial lung disease (ILD). MATERIALS AND METHODS: The subjects were 40 patients with idiopathic pulmonary fibrosis (IPF) diagnosed by multidisciplinary methods and 35 age-matched patients without ILDs. The lungs and SubPL were extracted from CT images using a Gaussian histogram normalized correlation system and evaluated for the mean CT attenuation value (CTmean) and the percentage of high attenuation area (%HAA), exceeding -700 Hounsfield units. The H pattern was defined as a honeycomb appearance and/or fibrosis with traction bronchiectasis, and the H-pattern volume ratios for the whole lung and the 2-mm-wide SubPL were measured. The utility of the SubPL for detecting ILD was evaluated by receiver operating characteristic (ROC) analysis. RESULTS: The areas under the ROC curves (AUCs) of CTmean and %HAA for the SubPL were greater than those for the whole lung. The AUCs for the whole lung and the SubPL were 0.990 and 0.994, respectively, for H-pattern volume; 0.875 and 0.994, respectively, for CTmean; and 0.965 and 0.991, respectively, for %HAA. CONCLUSION: The SubPL extraction method may be helpful for distinguishing patients with ILD from those without ILD.
Authors: Alan C Best; Anne M Lynch; Carmen M Bozic; David Miller; Gary K Grunwald; David A Lynch Journal: Radiology Date: 2003-06-11 Impact factor: 11.105
Authors: Huaiyu Heather Chen-Mayer; Matthew K Fuld; Bernice Hoppel; Philip F Judy; Jered P Sieren; Junfeng Guo; David A Lynch; Antonio Possolo; Sean B Fain Journal: Med Phys Date: 2017-02-21 Impact factor: 4.071
Authors: Fabien Maldonado; Teng Moua; Srinivasan Rajagopalan; Ronald A Karwoski; Sushravya Raghunath; Paul A Decker; Thomas E Hartman; Brian J Bartholmai; Richard A Robb; Jay H Ryu Journal: Eur Respir J Date: 2013-04-05 Impact factor: 16.671
Authors: Ani Manichaikul; Xin-Qun Wang; Li Sun; Josée Dupuis; Alain C Borczuk; Jennifer N Nguyen; Ganesh Raghu; Eric A Hoffman; Suna Onengut-Gumuscu; Emily A Farber; Joel D Kaufman; Dan Rabinowitz; Karen D Hinckley Stukovsky; Steven M Kawut; Gary M Hunninghake; George R Washko; George T O'Connor; Stephen S Rich; R Graham Barr; David J Lederer Journal: Respir Res Date: 2017-05-18