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Tytuł pozycji:

Size assessment of breast lesions by means of a computer-aided detection (CAD) system for magnetic resonance mammography.

Tytuł:
Size assessment of breast lesions by means of a computer-aided detection (CAD) system for magnetic resonance mammography.
Autorzy:
Levrini G; Diagnostic Imaging Department, Arcispedale S. Maria Nuova, Viale Risorgimento 80, Reggio Emilia, Italy.
Sghedoni R
Mori C
Botti A
Vacondio R
Nitrosi A
Iori M
Nicoli F
Źródło:
La Radiologia medica [Radiol Med] 2011 Oct; Vol. 116 (7), pp. 1039-49. Date of Electronic Publication: 2011 Mar 19.
Typ publikacji:
Comparative Study; Journal Article
Język:
English; Italian
Imprint Name(s):
Publication: Milan : Springer Milan
Original Publication: Torino [etc.] Minerva medica.
MeSH Terms:
Diagnosis, Computer-Assisted*
Magnetic Resonance Imaging*
Mammography*/methods
Breast Neoplasms/*diagnosis
Carcinoma, Intraductal, Noninfiltrating/*diagnosis
Carcinoma, Lobular/*diagnosis
Adult ; Aged ; Breast Neoplasms/diagnostic imaging ; Breast Neoplasms/pathology ; Carcinoma, Ductal, Breast/diagnosis ; Carcinoma, Intraductal, Noninfiltrating/diagnostic imaging ; Carcinoma, Intraductal, Noninfiltrating/pathology ; Carcinoma, Lobular/diagnostic imaging ; Carcinoma, Lobular/pathology ; Contrast Media ; Female ; Humans ; Middle Aged ; Predictive Value of Tests ; Retrospective Studies ; Sensitivity and Specificity ; Ultrasonography
References:
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Substance Nomenclature:
0 (Contrast Media)
Entry Date(s):
Date Created: 20110323 Date Completed: 20111227 Latest Revision: 20211020
Update Code:
20240104
DOI:
10.1007/s11547-011-0664-y
PMID:
21424564
Czasopismo naukowe
Purpose: The aim of this study was to investigate the efficacy of a dedicated software tool for automated volume measurement of breast lesions in contrast-enhanced (CE) magnetic resonance mammography (MRM).
Material and Methods: The size of 52 breast lesions with a known histopathological diagnosis (three benign, 49 malignant) was automatically evaluated using different techniques. The volume of all lesions was measured automatically (AVM) from CE 3D MRM examinations by means of a computer-aided detection (CAD) system and compared with the size estimates based on maximum diameter measurement (MDM) on MRM, ultrasonography (US), mammography and histopathology.
Results: Compared with histopathology as the reference method, AVM understimated lesion size by 4% on average. This result was similar to MDM (3% understimation, not significantly different) but significantly better than US and mammographic lesion measurements (24% and 33% size underestimation, respectively).
Conclusions: AVM is as accurate as MDM but faster. Both methods are more accurate for size assessment of breast lesions compared with US and mammography.

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