-
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:
-
Radiographics. 2000 Nov-Dec;20(6):1539-49. (PMID: 11112809)
Radiology. 2007 Aug;244(2):356-78. (PMID: 17641361)
Eur Radiol. 2010 Mar;20(3):522-8. (PMID: 19727750)
J Clin Oncol. 2008 Jan 20;26(3):386-91. (PMID: 18202414)
Radiol Med. 2008 Dec;113(8):1085-95. (PMID: 18953635)
Clin Radiol. 2006 Nov;61(11):946-53. (PMID: 17018307)
Radiology. 2004 Dec;233(3):830-49. (PMID: 15486214)
Radiology. 1995 Aug;196(2):415-9. (PMID: 7617854)
Acad Radiol. 2009 Sep;16(9):1070-6. (PMID: 19523854)
AJR Am J Roentgenol. 2002 Nov;179(5):1193-9. (PMID: 12388497)
BJOG. 2004 Jul;111(7):741-7. (PMID: 15198766)
Eur J Cancer. 2010 May;46(8):1296-316. (PMID: 20304629)
AJR Am J Roentgenol. 2005 Jun;184(6):1774-81. (PMID: 15908529)
Radiol Med. 2008 Dec;113(8):1110-25. (PMID: 18800196)
Breast J. 2006 Mar-Apr;12(2):130-7. (PMID: 16509837)
J Natl Cancer Inst. 1999 Mar 17;91(6):523-8. (PMID: 10088622)
Clin Radiol. 2009 Dec;64(12):1166-74. (PMID: 19913125)
J Natl Cancer Inst. 1994 Apr 20;86(8):614-9. (PMID: 7511693)
Pediatr Blood Cancer. 2004 Dec;43(7):723-8. (PMID: 15390310)
Radiology. 2007 Sep;244(3):672-91. (PMID: 17709824)
Eur Radiol. 2005 Jul;15(7):1353-60. (PMID: 15789211)
AJR Am J Roentgenol. 2006 Jul;187(1):51-6. (PMID: 16794155)
Eur Radiol. 2001;11(4):531-46. (PMID: 11354744)
-
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
-
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.