Literature DB >> 8606220

High resolution CT mammography of surgical biopsy specimens.

V Raptopoulos1, J K Baum, M Hochman, A Karellas, M J Houlihan, C J D'Orsi.   

Abstract

PURPOSE: Our goal was to assess the performance of high resolution CT on breast biopsy specimens before considering the reevaluation of refined CT techniques in patients with breast abnormalities.
METHOD: High resolution CT was done in 44 surgical biopsy specimens following conventional X-ray specimen mammography. The specimens comprised 38 palpable and nonpalpable soft tissue abnormalities with mean size of 19 mm and 6 specimens with clustered microcalcifications only. There were 21 carcinomas, 10 fibroadenomas, and 13 other benign conditions. Evaluation of CT and conventional images was done separately, and a feature-grading list was used to compare the two modalities.
RESULTS: In fatty specimens, grading of morphologic features of masses and the confidence to detect a soft tissue abnormality were equal with both techniques. CT significantly improved the confidence to detect a mass in 17 specimens with dense tissue: On a scale of 0-10, the mean score for detection was 3.8 with radiography and 5.8 with CT (p<0.008). For clustered microcalcifications, X-ray was superior to CT. The mean CT attenuation of 18 malignant masses (82 HU) was significantly lower than the mean attenuation of 10 fibroadenomas (131 HU; p = 0.003). CT scans of the American College of Radiology test phantom met the requirements for X-ray accreditation.
CONCLUSION: For soft tissue abnormalities, CT specimen mammography performed equally as or better than specimen radiography. These in vitro results suggest potential advantages for increased sensitivity and specificity with CT and justify further investigations.

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Mesh:

Year:  1996        PMID: 8606220     DOI: 10.1097/00004728-199603000-00003

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  6 in total

Review 1.  Newer Technologies in Breast Cancer Imaging: Dedicated Cone-Beam Breast Computed Tomography.

Authors:  Avice M O'Connell; Andrew Karellas; Srinivasan Vedantham; Daniel T Kawakyu-O'Connor
Journal:  Semin Ultrasound CT MR       Date:  2017-09-05       Impact factor: 1.875

2.  Computed tomography for imaging the breast.

Authors:  John M Boone; Alex L C Kwan; Kai Yang; George W Burkett; Karen K Lindfors; Thomas R Nelson
Journal:  J Mammary Gland Biol Neoplasia       Date:  2006-04       Impact factor: 2.673

3.  Breast Cancer Screening: Opportunities and Challenges with Fully 3D Tomographic X-Ray Imaging.

Authors:  Srinivasan Vedantham; Andrew Karellas
Journal:  Bridge (Wash D C)       Date:  2022-03-28

Review 4.  Breast cancer imaging: a perspective for the next decade.

Authors:  Andrew Karellas; Srinivasan Vedantham
Journal:  Med Phys       Date:  2008-11       Impact factor: 4.071

5.  Dedicated breast CT: geometric design considerations to maximize posterior breast coverage.

Authors:  Srinivasan Vedantham; Andrew Karellas; Margaret M Emmons; Lawrence J Moss; Sarwat Hussain; Stephen P Baker
Journal:  Phys Med Biol       Date:  2013-05-17       Impact factor: 3.609

6.  Mammographic quantitative image analysis and biologic image composition for breast lesion characterization and classification.

Authors:  Karen Drukker; Fred Duewer; Maryellen L Giger; Serghei Malkov; Chris I Flowers; Bonnie Joe; Karla Kerlikowske; Jennifer S Drukteinis; Hui Li; John A Shepherd
Journal:  Med Phys       Date:  2014-03       Impact factor: 4.071

  6 in total

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