Literature DB >> 23033500

Nonmalignant breast lesions: ADCs of benign and high-risk subtypes assessed as false-positive at dynamic enhanced MR imaging.

Sana Parsian1, Habib Rahbar, Kimberly H Allison, Wendy B Demartini, Matthew L Olson, Constance D Lehman, Savannah C Partridge.   

Abstract

PURPOSE: To evaluate the diffusion-weighted (DW) imaging characteristics of nonmalignant lesion subtypes assessed as false-positive findings at conventional breast magnetic resonance (MR) imaging.
MATERIALS AND METHODS: This HIPAA-compliant retrospective study had institutional review board approval, and the need for informed patient consent was waived. Lesions assessed as Breast Imaging Reporting and Data System category 4 or 5 at clinical dynamic contrast material-enhanced MR imaging that subsequently proved nonmalignant at biopsy were retrospectively reviewed. One hundred seventy-five nonmalignant breast lesions in 165 women were evaluated. Apparent diffusion coefficients (ADCs) from DW imaging (b = 0, 600 sec/mm(2)) were calculated for each lesion and were compared between subtypes and with an ADC threshold of 1.81 × 10(-3) mm(2)/sec (determined in a prior study to achieve 100% sensitivity).
RESULTS: Eighty-one (46%) lesions exhibited ADCs greater than the predetermined threshold. The most prevalent lesion subtypes with mean ADCs above the threshold were fibroadenoma ([1.94 ± 0.38 {standard deviation}] × 10(-3) mm(2)/sec; n = 30), focal fibrosis ([1.84 ± 0.48] × 10(-3) mm(2)/sec; n = 19), normal tissue ([1.81 ± 0.47] × 10(-3) mm(2)/sec; n = 13), apocrine metaplasia ([2.01 ± 0.38] × 10(-3) mm(2)/sec; n = 13), usual ductal hyperplasia ([1.83 ± 0.49] × 10(-3) mm(2)/sec; n = 12), and inflammation ([1.95 ± 0.46] × 10(-3) mm(2)/sec; n = 10). Atypical ductal hyperplasia ([1.48 ± 0.36] × 10(-3) mm(2)/sec; n = 23) was the most common lesion subtype with ADC below the threshold. Lymph nodes exhibited the lowest mean ADC of all nonmalignant lesions ([1.28 ± 0.23] × 10(-3) mm(2)/sec; n = 4). High-risk lesions (atypical ductal hyperplasia and lobular neoplasia) showed significantly lower ADCs than other benign lesions (P < .0001) and were the most common lesions with ADCs below the threshold.
CONCLUSION: Assessing ADC along with dynamic contrast-enhanced MR imaging features may decrease the number of avoidable false-positive findings at breast MR imaging and reduce the number of preventable biopsies. The ability of DW imaging to help differentiate high-risk lesions requiring additional work-up from other nonmalignant subtypes may further improve patient care. SUPPLEMENTAL MATERIAL: http://radiology.rsna.org/lookup/suppl/doi:10.1148/radiol.12112672/-/DC1. © RSNA, 2012.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 23033500      PMCID: PMC3504319          DOI: 10.1148/radiol.12112672

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  58 in total

1.  1H MR spectroscopy and diffusion-weighted imaging of the breast: are they useful tools for characterizing breast lesions before biopsy?

Authors:  Mitsuhiro Tozaki; Eisuke Fukuma
Journal:  AJR Am J Roentgenol       Date:  2009-09       Impact factor: 3.959

2.  Assessment of breast lesions with diffusion-weighted MRI: comparing the use of different b values.

Authors:  Fernanda Philadelpho Arantes Pereira; Gabriela Martins; Eduardo Figueiredo; Marisa Nassar Aidar Domingues; Romeu Cortes Domingues; Lea Mirian Barbosa da Fonseca; Emerson Leandro Gasparetto
Journal:  AJR Am J Roentgenol       Date:  2009-10       Impact factor: 3.959

3.  Quantitative diffusion-weighted imaging as an adjunct to conventional breast MRI for improved positive predictive value.

Authors:  Savannah C Partridge; Wendy B DeMartini; Brenda F Kurland; Peter R Eby; Steven W White; Constance D Lehman
Journal:  AJR Am J Roentgenol       Date:  2009-12       Impact factor: 3.959

4.  Differential diagnosis of mammographically and clinically occult breast lesions on diffusion-weighted MRI.

Authors:  Savannah C Partridge; Wendy B Demartini; Brenda F Kurland; Peter R Eby; Steven W White; Constance D Lehman
Journal:  J Magn Reson Imaging       Date:  2010-03       Impact factor: 4.813

5.  Diffusion-weighted imaging in breast lesion evaluation.

Authors:  P Belli; M Costantini; E Bufi; A Magistrelli; G La Torre; L Bonomo
Journal:  Radiol Med       Date:  2009-11-09       Impact factor: 3.469

6.  Diffusion-weighted magnetic resonance imaging of breast lesions: first experiences at 3 T.

Authors:  Gladys G Lo; Victor Ai; John K F Chan; K W Li; Polly S Y Cheung; T T Wong; Micheal Ma; Raymond Lee; Daisy Chien
Journal:  J Comput Assist Tomogr       Date:  2009 Jan-Feb       Impact factor: 1.826

7.  Microperfusion-induced elevation of ADC is suppressed after contrast in breast carcinoma.

Authors:  Sachiko Yuen; Kei Yamada; Mariko Goto; Kaori Nishida; Akiko Takahata; Tsunehiko Nishimura
Journal:  J Magn Reson Imaging       Date:  2009-05       Impact factor: 4.813

8.  Diffusion tensor MRI: preliminary anisotropy measures and mapping of breast tumors.

Authors:  Savannah C Partridge; Ali Ziadloo; Revathi Murthy; Steven W White; Sue Peacock; Peter R Eby; Wendy B DeMartini; Constance D Lehman
Journal:  J Magn Reson Imaging       Date:  2010-02       Impact factor: 4.813

9.  Breast magnetic resonance imaging for preoperative locoregional staging.

Authors:  Alan B Hollingsworth; Rebecca G Stough; Carol A O'Dell; Charles E Brekke
Journal:  Am J Surg       Date:  2008-04-23       Impact factor: 2.565

10.  Diffusion-weighted imaging of mucinous carcinoma of the breast: evaluation of apparent diffusion coefficient and signal intensity in correlation with histologic findings.

Authors:  Reiko Woodhams; Satoko Kakita; Hirofumi Hata; Keiichi Iwabuchi; Shigeaki Umeoka; Carolyn E Mountford; Hiroto Hatabu
Journal:  AJR Am J Roentgenol       Date:  2009-07       Impact factor: 3.959

View more
  30 in total

1.  Can unenhanced breast MRI be used to decrease negative biopsy rates?

Authors:  Sibel Kul; Şükrü Oğuz; İlker Eyüboğlu; Özlem Kömürcüoğlu
Journal:  Diagn Interv Radiol       Date:  2015 Jul-Aug       Impact factor: 2.630

2.  [Improved breast MRI specificity in nonmalignant breast lesions using additional diffusion-weighted sequences without significant increases in examination time].

Authors:  E Wenkel
Journal:  Strahlenther Onkol       Date:  2013-06       Impact factor: 3.621

3.  [Diffusion-weighted breast imaging. Clinical implementation procedure].

Authors:  E Wenkel; M Uder; R Janka
Journal:  Radiologe       Date:  2014-03       Impact factor: 0.635

4.  Incidentally detected enhancing lesions found in breast MRI: analysis of apparent diffusion coefficient and T2 signal intensity significantly improves specificity.

Authors:  Otso Arponen; Amro Masarwah; Anna Sutela; Mikko Taina; Mervi Könönen; Reijo Sironen; Juhana Hakumäki; Ritva Vanninen; Mazen Sudah
Journal:  Eur Radiol       Date:  2016-04-25       Impact factor: 5.315

5.  Diffusion tensor imaging of breast lesions: evaluation of apparent diffusion coefficient and fractional anisotropy and tissue cellularity.

Authors:  Ruisheng Jiang; Zhijun Ma; Haixia Dong; Shihang Sun; Xiangmin Zeng; Xiao Li
Journal:  Br J Radiol       Date:  2016-06-15       Impact factor: 3.039

6.  Fat suppression strategies in MR imaging of breast cancer at 3.0 T: comparison of the two-point Dixon technique and the frequency selective inversion method.

Authors:  Wakako Kaneko Mikami; Toshiki Kazama; Hirotaka Sato; Hajime Yokota; Takashi Higashide; Takuro Horikoshi; Ken Motoori; Yukimasa Miyazawa; Takeshi Nagashima; Takashi Uno
Journal:  Jpn J Radiol       Date:  2013-06-24       Impact factor: 2.374

7.  Utility of Diffusion-weighted Imaging to Decrease Unnecessary Biopsies Prompted by Breast MRI: A Trial of the ECOG-ACRIN Cancer Research Group (A6702).

Authors:  Habib Rahbar; Zheng Zhang; Thomas L Chenevert; Justin Romanoff; Averi E Kitsch; Lucy G Hanna; Sara M Harvey; Linda Moy; Wendy B DeMartini; Basak Dogan; Wei T Yang; Lilian C Wang; Bonnie N Joe; Karen Y Oh; Colleen H Neal; Elizabeth S McDonald; Mitchell D Schnall; Constance D Lehman; Christopher E Comstock; Savannah C Partridge
Journal:  Clin Cancer Res       Date:  2019-01-15       Impact factor: 12.531

8.  Diffusion-Weighted Breast Magnetic Resonance Imaging: A Semiautomated Voxel Selection Technique Improves Interreader Reproducibility of Apparent Diffusion Coefficient Measurements.

Authors:  Habib Rahbar; Brenda F Kurland; Matthew L Olson; Averi E Kitsch; John R Scheel; Xiaoyu Chai; Joshua Usoro; Constance D Lehman; Savannah C Partridge
Journal:  J Comput Assist Tomogr       Date:  2016 May-Jun       Impact factor: 1.826

9.  Diffusion magnetic resonance imaging in breast cancer characterisation: correlations between the apparent diffusion coefficient and major prognostic factors.

Authors:  Paolo Belli; Melania Costantini; Enida Bufi; Giuseppe Giovanni Giardina; Pierluigi Rinaldi; Gianluca Franceschini; Lorenzo Bonomo
Journal:  Radiol Med       Date:  2014-08-06       Impact factor: 3.469

Review 10.  Diffusion weighted magnetic resonance imaging of the breast: protocol optimization, interpretation, and clinical applications.

Authors:  Savannah C Partridge; Elizabeth S McDonald
Journal:  Magn Reson Imaging Clin N Am       Date:  2013-06-10       Impact factor: 2.266

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.