Seiji Kumazawa PhD, Presenter: Nothing to Disclose

Chisako Muramatsu, Abstract Co-Author: Nothing to Disclose

Qiang Li PhD, Abstract Co-Author: Patent agreement, General Electric Company Patent agreement, Toshiba Corporation Patent agreement, R2 Technology, Inc Patent agreement, Deus Technologies, LLC Patent agreement, Riverain Medical Patent agreement, MEDIAN Technologies Patent agreement, Mitsubishi Corporation Consultant, Riverain Medical

Feng Li MD, PhD, Abstract Co-Author: License agreement, Hologic, Inc (R2 Technology, Inc) License agreement, Deus Technologies, LLC License agreement, Riverain Medical License agreement, Mitsubishi Corporation License agreement, MEDIAN Technologies License agreement, General Electric Company License agreement, Toshiba Corporation

Junji Shiraishi, Abstract Co-Author: License agreement, Riverain Medical License agreement, MEDIAN Technologies Research support, Riverain Medical Research support, Totoku Electric Co, Ltd Consultant, Riverain Medical

Kunio Doi PhD, Abstract Co-Author: Shareholder, Hologic, Inc (R2 Technology, Inc) License Agreement, Hologic, Inc (R2 Technology, Inc) License Agreement, Deus Technologies, LLC License Agreement, Riverain Medical License Agreement, Mitsubishi Corporation License Agreement, MEDIAN Technologies License Agreement, General Electric Company License Agreement, Toshiba Corporation Research Support, Deus Technologies, LLC Research Support, DuPont Research Support, Elbit Medical Imaging Ltd Research Support, Fuji Photo Film Co, Ltd Research Support, General Electric Company Research Support, Hitachi, Ltd Research Support, Eastman Kodak Company Research Support, Konica Minolta Group Research Support, Mitaya Manufacturing Co, Ltd Research Support, Mitsubishi Corporation Research Support, Koninklijke Philips Electronics NV Research Support, Hologic, Inc (R2 Technology, Inc) Research Support, Riverain Medical Research Support, Seiko Corporation Research Support, Siemens AG Research Support, 3M Company Research Support, Toshiba Corporation

The purpose is to present radiologists’ overall impression of similarity of lesions on medical images by comparing the similarity of a breast mass pair on mammograms with that of a lung nodule pair on CT images. Subjective similarity is quantified by two different methods, an absolute rating and the 2-alternative forced-choice (2AFC) method.

1) Demonstrate 8 pairs of masses on mammograms and 8 pairs of nodules on CT with subjective similarity ratings ranging from 0 to 1 as determined by a group of radiologists. 2) Compare the pairs in 4 sets, a set of 8 mass pairs, a set of 8 nodule pairs, and 2 mixed sets of 4 mass and 4 nodule pairs by use of the 2AFC method, and obtain similarity ranking scores. 3) Examine whether you can compare the similarity of a mass pair with that of a nodule pair consistently.

The correlation coefficients between the average subjective similarity ratings and the average similarity ranking scores obtained by the 2AFC method were very high (0.89-0.97). Radiologists were able to compare the similarities of lesions consistently, even for different types of lesions obtained with different modalities. The similarity for pairs of lesions in medical images can be measured consistently and accurately, and can be subjected to rigorous scientific research efforts in the future.

Kumazawa, S, Muramatsu, C, Li, Q, Li, F, Shiraishi, J, Doi, K, Comparison of the Subjective Similarity for Pairs of Lesions: Can You Compare the Similarity of a Breast Mass Pair on Mammograms with That of a Lung Nodule Pair on CT Consistently?.  Radiological Society of North America 2007 Scientific Assembly and Annual Meeting, November 25 - November 30, 2007 ,Chicago IL. http://archive.rsna.org/2007/5008141.html