An Investigation of Radiologists' Perception of Lesion Similarity

作者: Seiji Kumazawa , Chisako Muramatsu , Qiang Li , Feng Li , Junji Shiraishi

DOI: 10.1016/J.ACRA.2008.01.012

关键词:

摘要: Rationale and Objectives We conducted an observer study to investigate whether radiologists can judge similarities in pairs of breast masses lung nodules consistently reproducibly. Materials Methods Institutional review board approval informed consent were obtained. This was compliant with the Health Insurance Portability Accountability Act. used eight on mammograms computed tomographic images, for which subjective similarity ratings ranging from 0 1 determined our previous studies. From these, four sets image created (ie, a set mass pairs, nodule two mixed pairs). Eight radiologists, including chest compared all combinations each using two-alternative forced-choice (2AFC) method determine ranking scores by identifying pair more similar than other based overall impression diagnosis. Results In set, relationship between average 2AFC indicated very high correlations (r = 0.91 0.88). Moreover, sets, also 0.90 0.98). Thus, able compare lesions consistently, even unusual comparison completely different types lesions. Conclusion The medical images be quantified group radiologists. concept subjected rigorous scientific research investigation future.

参考文章(27)
M. Heath, K. Bowyer, D. Kopans, P. Kegelmeyer, R. Moore, K. Chang, S. Munishkumaran, Current Status of the Digital Database for Screening Mammography Digital Mammography / IWDM. pp. 457- 460 ,(1998) , 10.1007/978-94-011-5318-8_75
H. D. Tagare, C. C. Jaffe, J. Duncan, Medical Image Databases: A Content-based Retrieval Approach Journal of the American Medical Informatics Association. ,vol. 4, pp. 184- 198 ,(1997) , 10.1136/JAMIA.1997.0040184
Chisako Muramatsu, Qiang Li, Robert Schmidt, Kenji Suzuki, Junji Shiraishi, Gillian Newstead, Kunio Doi, Experimental determination of subjective similarity for pairs of clustered microcalcifications on mammograms: Observer study results Medical Physics. ,vol. 33, pp. 3460- 3468 ,(2006) , 10.1118/1.2266280
Chisako Muramatsu, Qiang Li, Robert A. Schmidt, Junji Shiraishi, Kenji Suzuki, Gillian M. Newstead, Kunio Doi, Determination of subjective similarity for pairs of masses and pairs of clustered microcalcifications on mammograms: Comparison of similarity ranking scores and absolute similarity ratings Medical Physics. ,vol. 34, pp. 2890- 2895 ,(2007) , 10.1118/1.2745937
Robert M. Nishikawa, Yongyi Yang, Dezheng Huo, Miles Wernick, Charlene A. Sennett, John Papaioannou, Liyang Wei, Observers' ability to judge the similarity of clustered calcifications on mammograms Medical Imaging 2004: Image Perception, Observer Performance, and Technology Assessment. ,vol. 5372, pp. 192- 198 ,(2004) , 10.1117/12.536571
Feng Li, Shusuke Sone, Hiroyuki Abe, Heber MacMahon, Samuel G. Armato, Kunio Doi, Lung cancers missed at low-dose helical CT screening in a general population: comparison of clinical, histopathologic, and imaging findings. Radiology. ,vol. 225, pp. 673- 683 ,(2002) , 10.1148/RADIOL.2253011375
Petra Perner, Image mining: issues, framework, a generic tool and its application to medical-image diagnosis Engineering Applications of Artificial Intelligence. ,vol. 15, pp. 205- 216 ,(2002) , 10.1016/S0952-1976(02)00019-2
Feng Li, Masahito Aoyama, Junji Shiraishi, Hiroyuki Abe, Qiang Li, Kenji Suzuki, Roger Engelmann, Shusuke Sone, Heber MacMahon, Kunio Doi, Radiologists' performance for differentiating benign from malignant lung nodules on high-resolution CT using computer-estimated likelihood of malignancy American Journal of Roentgenology. ,vol. 183, pp. 1209- 1215 ,(2004) , 10.2214/AJR.183.5.1831209
Thomas M. Lehmann, Bartosz Plodowski, Klaus Spitzer, Berthold B. Wein, Hermann Ney, Thomas Seidl, Extended query refinement for content-based access to large medical-image databases Medical Imaging 2004: PACS and Imaging Informatics. ,vol. 5371, pp. 90- 98 ,(2004) , 10.1117/12.534964
Hairong Qi, Wesley E. Snyder, Content-based image retrieval in picture archiving and communications systems Journal of Digital Imaging. ,vol. 12, pp. 81- 83 ,(1999) , 10.1007/BF03168763