Literature DB >> 15728613

Computer-aided detection of amorphous calcifications.

Mary Scott Soo1, Eric L Rosen, Jessie Q Xia, Sujata Ghate, Jay A Baker.   

Abstract

OBJECTIVE: Computer-aided detection (CAD) systems have been used successfully to detect malignant calcifications on mammography, with sensitivities ranging from 86% to 99%. Amorphous calcifications are a subset of small indistinct calcifications of intermediate concern that have a 20% likelihood of being malignant and that are frequently overlooked on mammography. The purpose of our study was to determine the sensitivity of one commercially available CAD system for detecting amorphous calcifications.
MATERIALS AND METHODS: A commercially available CAD system evaluated mammograms of 82 patients with 85 mammographically detected and histologically sampled groups of amorphous calcifications (21 malignant, 14 high risk, and 50 benign). The sensitivity of the system for detecting the calcifications on at least one image of the two-view mammographic examination (case sensitivity) and on each individual mammographic image (image sensitivity) was determined. Findings were correlated with results from large core needle biopsy or surgical excision in each case.
RESULTS: The CAD system detected amorphous calcifications in 43 of 85 cases (case sensitivity, 51%) and in 59 of 146 mammographic images (image sensitivity, 40%). The case sensitivities by histologic outcome were 57% for malignant calcifications, 29% for high-risk calcifications, and 54% for benign calcifications. An average of 2.0 false-positive marks were displayed per case.
CONCLUSION: The CAD sensitivity for malignant amorphous calcifications is markedly lower than previously reported for all malignant calcifications. Breast imaging radiologists who use CAD systems should continue to search diligently for these difficult-to-detect lesions.

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Year:  2005        PMID: 15728613     DOI: 10.2214/ajr.184.3.01840887

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  6 in total

1.  Evaluation of breast amorphous calcifications by a computer-aided detection system in full-field digital mammography.

Authors:  A M Scaranelo; R Eiada; K Bukhanov; P Crystal
Journal:  Br J Radiol       Date:  2012-05       Impact factor: 3.039

2.  "Hippocrates-mst": a prototype for computer-aided microcalcification analysis and risk assessment for breast cancer.

Authors:  George Spyrou; Smaragda Kapsimalakou; Antonis Frigas; Konstantinos Koufopoulos; Stamatios Vassilaros; Panos Ligomenides
Journal:  Med Biol Eng Comput       Date:  2006-10-27       Impact factor: 2.602

3.  Evaluation of breast calcifications.

Authors:  Yojana V Nalawade
Journal:  Indian J Radiol Imaging       Date:  2009 Oct-Dec

Review 4.  Advances in computer-aided diagnosis for breast cancer.

Authors:  Lubomir Hadjiiski; Berkman Sahiner; Heang-Ping Chan
Journal:  Curr Opin Obstet Gynecol       Date:  2006-02       Impact factor: 1.927

5.  The impact of calibration phantom errors on dual-energy digital mammography.

Authors:  Xuanqin Mou; Xi Chen; Lijun Sun; Hengyong Yu; Zhen Ji; Lei Zhang
Journal:  Phys Med Biol       Date:  2008-10-20       Impact factor: 3.609

6.  Role of computer-aided detection in very small screening detected invasive breast cancers.

Authors:  Xavier Bargalló; Martín Velasco; Gorane Santamaría; Montse Del Amo; Pedro Arguis; Sonia Sánchez Gómez
Journal:  J Digit Imaging       Date:  2013-06       Impact factor: 4.056

  6 in total

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