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“Hippocrates-mst”: a prototype for computer-aided microcalcification analysis and risk assessment for breast cancer

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Abstract

One of the most common cancer types among women is breast cancer. Regular mammographic examinations increase the possibility for early diagnosis and treatment and significantly improve the chance of survival for patients with breast cancer. Clustered microcalcifications have been considered as important indicators of the presence of breast cancer. We present “Hippocrates-mst”, a prototype system for computer-aided risk assessment of breast cancer. Our research has been focused in developing software to locate microcalcifications on X-ray mammography images, quantify their critical features and classify them according to their probability of being cancerous. A total of 260 cases (187 benign and 73 malignant) have been examined and the performance of the prototype is presented through receiver operating characteristic (ROC) analysis. The system is showing high levels of sensitivity identifying correctly 98.63% of malignant cases.

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Authors and Affiliations

  1. Laboratory of Informatics, Academy of Athens, 4 Soranou Efesiou, 115 27, Athens, Greece

    George Spyrou, Smaragda Kapsimalakou, Antonis Frigas & Panos Ligomenides

  2. Foundation for Biomedical Research, Academy of Athens, 4 Soranou Efesiou, 115 27, Athens, Greece

    George Spyrou

  3. “Gynaikologiki Apeikonisi” Diagnostic Center, 106 Kifissias, 115 26, Athens, Greece

    Konstantinos Koufopoulos

  4. “Prolipsis” Diagnostic Breast Center, 3 Sevastias, 115 28, Athens, Greece

    Stamatios Vassilaros

Authors
  1. George Spyrou
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  2. Smaragda Kapsimalakou
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  3. Antonis Frigas
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  4. Konstantinos Koufopoulos
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  5. Stamatios Vassilaros
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  6. Panos Ligomenides
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Correspondence to George Spyrou.

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Spyrou, G., Kapsimalakou, S., Frigas, A. et al. “Hippocrates-mst”: a prototype for computer-aided microcalcification analysis and risk assessment for breast cancer. Med Bio Eng Comput 44, 1007–1015 (2006). https://doi.org/10.1007/s11517-006-0117-2

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  • DOI: https://doi.org/10.1007/s11517-006-0117-2

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