Literature DB >> 19696298

MRI-detected suspicious breast lesions: predictive values of kinetic features measured by computer-aided evaluation.

Lilian C Wang1, Wendy B DeMartini, Savannah C Partridge, Sue Peacock, Constance D Lehman.   

Abstract

OBJECTIVE: Computer-aided evaluation (CAE) programs for breast MRI provide automated lesion kinetic information. The CAE kinetic parameters that best predict malignancy have not been established. We compared three CAE kinetic features of suspicious breast MRI lesions to determine associations with benign or malignant outcomes.
MATERIALS AND METHODS: From 1,532 MRI examinations, all suspicious breast lesions initially detected with MRI and having CAE kinetics and subsequent biopsy were identified. Three CAE variables were compared for benign and malignant lesions: initial phase peak enhancement (greatest percentage signal intensity increase on first contrast-enhanced sequence), delayed phase enhancement categorized by a single type of kinetics comprising the largest percentage of enhancement (washout, plateau, or persistent), and delayed phase enhancement categorized by single most suspicious type of kinetics (any washout > any plateau > any persistent).
RESULTS: One hundred twenty-five lesions (42 malignant, 83 benign) comprised the analysis set. There were no significant differences in initial peak enhancement (p = 0.28) or delayed kinetics categorized by largest percentage enhancement types (p = 0.39) between benign and malignant lesions. There was a significant difference in delayed kinetics categorized by the most suspicious enhancement types (p = 0.005). Of lesions with washout as most suspicious (any washout), 45.7% were malignant compared with 20.0% with plateau and 13.3% with entirely persistent enhancement.
CONCLUSION: Of CAE kinetics analyzed, only delayed enhancement categorized by most suspicious type was significantly different between benign and malignant lesions. This supports the American College of Radiology BI-RADS Breast MRI Lexicon recommendation to report the "worst looking" kinetic curve.

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Year:  2009        PMID: 19696298     DOI: 10.2214/AJR.08.1335

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


  25 in total

1.  Evaluation of Kinetic Entropy of Breast Masses Initially Found on MRI using Whole-lesion Curve Distribution Data: Comparison with the Standard Kinetic Analysis.

Authors:  Akiko Shimauchi; Hiroyuki Abe; David V Schacht; Jian Yulei; Federico D Pineda; Sanaz A Jansen; Rajiv Ganesh; Gillian M Newstead
Journal:  Eur Radiol       Date:  2015-02-20       Impact factor: 5.315

2.  Computer-aided evaluation as an adjunct to revised BI-RADS Atlas: improvement in positive predictive value at screening breast MRI.

Authors:  Hye Mi Gweon; Nariya Cho; Mirinae Seo; A Jung Chu; Woo Kyung Moon
Journal:  Eur Radiol       Date:  2014-05-02       Impact factor: 5.315

3.  Preoperative MRI improves prediction of extensive occult axillary lymph node metastases in breast cancer patients with a positive sentinel lymph node biopsy.

Authors:  Christopher Loiselle; Peter R Eby; Janice N Kim; Kristine E Calhoun; Kimberly H Allison; Vijayakrishna K Gadi; Sue Peacock; Barry E Storer; David A Mankoff; Savannah C Partridge; Constance D Lehman
Journal:  Acad Radiol       Date:  2014-01       Impact factor: 3.173

4.  Distinguishing benign and malignant breast tumors: preliminary comparison of kinetic modeling approaches using multi-institutional dynamic contrast-enhanced MRI data from the International Breast MR Consortium 6883 trial.

Authors:  Anna G Sorace; Savannah C Partridge; Xia Li; Jack Virostko; Stephanie L Barnes; Daniel S Hippe; Wei Huang; Thomas E Yankeelov
Journal:  J Med Imaging (Bellingham)       Date:  2018-01-22

5.  Kinetic Analysis of Lesions Identified on a Rapid Abridged Multiphase (RAMP) Breast MRI Protocol.

Authors:  Sadia Choudhery; Shinn-Huey S Chou; Ken Chang; Jayashree Kalpathy-Cramer; Constance D Lehman
Journal:  Acad Radiol       Date:  2019-05-27       Impact factor: 3.173

Review 6.  Clinical role of breast MRI now and going forward.

Authors:  D Leithner; G J Wengert; T H Helbich; S Thakur; R E Ochoa-Albiztegui; E A Morris; K Pinker
Journal:  Clin Radiol       Date:  2017-12-09       Impact factor: 2.350

7.  High resolution MRI of the breast at 3 T: which BI-RADS® descriptors are most strongly associated with the diagnosis of breast cancer?

Authors:  K Pinker-Domenig; W Bogner; S Gruber; H Bickel; S Duffy; M Schernthaner; P Dubsky; U Pluschnig; M Rudas; S Trattnig; T H Helbich
Journal:  Eur Radiol       Date:  2011-09-14       Impact factor: 5.315

Review 8.  Multiparametric MR Imaging of Breast Cancer.

Authors:  Habib Rahbar; Savannah C Partridge
Journal:  Magn Reson Imaging Clin N Am       Date:  2016-02       Impact factor: 2.266

9.  Breast DCE-MRI: influence of postcontrast timing on automated lesion kinetics assessments and discrimination of benign and malignant lesions.

Authors:  Savannah C Partridge; Karen M Stone; Roberta M Strigel; Wendy B DeMartini; Sue Peacock; Constance D Lehman
Journal:  Acad Radiol       Date:  2014-07-04       Impact factor: 3.173

10.  Accuracy and interpretation time of computer-aided detection among novice and experienced breast MRI readers.

Authors:  Constance D Lehman; Jeffrey D Blume; Wendy B DeMartini; Nola M Hylton; Benjamin Herman; Mitchell D Schnall
Journal:  AJR Am J Roentgenol       Date:  2013-06       Impact factor: 3.959

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