Utility of adaptive control processing for the interpretation of digital mammograms

Mikako Jinnouchi, Hidetake Yabuuchi, Makoto Kubo, Eriko Tokunaga, Hidetaka Yamamoto, Hiroshi Honda

研究成果: Contribution to journalArticle査読

3 被引用数 (Scopus)

抄録

Background Adaptive control processing for mammography (ACM) is a novel program that automatically sets up appropriate image-processing parameters for individual mammograms (MMGs) by analyzing the focal and whole breast histogram. Purpose To investigate whether ACM improves the image contrast of digital MMGs and whether it improves radiologists' diagnostic performance in reading of MMGs. Material and Methods One hundred normal cases for image quality assessment and another 100 cases (50 normal and 50 cancers) for observer performance assessment were enrolled. All mammograms were examined with and without ACM. Five radiologists assessed the intra- and extra-mammary contrast of 100 normal MMGs, and the mean scores of the intra- and extra-mammary contrast were compared between MMGs with and without ACM in both the dense and non-dense group. They classified 100 MMGs into BI-RADS categories 1-5, and were asked to rate the images on a scale of 0 to 100 for the likelihood of the presence of category 3-5 lesions in each breast. Detectability of breast cancer, reading time, and frequency of window adjustment were compared between MMGs with and without ACM. Results ACM improved the intra-mammary contrast in both the dense and non-dense group but degraded extra-mammary contrast in the dense group. There was no significant difference in detectability of breast cancer between MMGs with and without ACM. Frequency of window adjustment without ACM was significantly higher than that with ACM. Reading time without ACM was significantly longer than that with ACM. Conclusion ACM improves the image contrast of MMGs and shortens reading time.

本文言語英語
ページ(範囲)1297-1303
ページ数7
ジャーナルActa Radiologica
57
11
DOI
出版ステータス出版済み - 11 1 2016

All Science Journal Classification (ASJC) codes

  • 放射線技術および超音波技術
  • 放射線学、核医学およびイメージング

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