Literature DB >> 27379441

Diffusion-weighted imaging reflects variable cellularity and stromal density present in breast fibroadenomas.

Sana Parsian1, Nadia V Giannakopoulos2, Habib Rahbar3, Mara H Rendi4, Xiaoyu Chai5, Savannah C Partridge6.   

Abstract

OBJECTIVE: To determine the underlying histopathologic features influencing apparent diffusion coefficient (ADC) values of breast fibroadenomas.
MATERIALS AND METHODS: Biopsy-proven fibroadenomas (n=26) initially identified as suspicious on breast magnetic resonance imaging (MRI) were retrospectively evaluated. Histopathologic assessments of lesion cellularity and stromal type were compared with ADC measures on diffusion-weighted MRI.
RESULTS: Presence of epithelial hyperplasia (increased cellularity) and dense collagenous stroma were both significantly associated with lower lesion ADC values (P=.02 and .004, respectively).
CONCLUSION: Variations in epithelial cellularity and stromal type influence breast lesion ADC values and may explain the wide range of ADC measures observed in benign fibroadenomas.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Apparent diffusion coefficient (ADC); Cellularity; Diffusion-weighted imaging (DWI); Fibroadenomas; Stroma

Mesh:

Year:  2016        PMID: 27379441      PMCID: PMC5010954          DOI: 10.1016/j.clinimag.2016.06.002

Source DB:  PubMed          Journal:  Clin Imaging        ISSN: 0899-7071            Impact factor:   1.605


  27 in total

1.  In vivo diffusion-weighted MRI of the breast: potential for lesion characterization.

Authors:  Shantanu Sinha; Flora Anne Lucas-Quesada; Usha Sinha; Nanette DeBruhl; Lawrence W Bassett
Journal:  J Magn Reson Imaging       Date:  2002-06       Impact factor: 4.813

2.  Breast inflammation: indications for MRI and PET-CT.

Authors:  C de Bazelaire; D Groheux; M Chapellier; F Sabatier; A Scémama; A Pluvinage; M Albiter; E de Kerviler
Journal:  Diagn Interv Imaging       Date:  2012-01-21       Impact factor: 4.026

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.  Diffusion-weighted imaging of the breast: principles and clinical applications.

Authors:  Reiko Woodhams; Saadallah Ramadan; Peter Stanwell; Satoko Sakamoto; Hirofumi Hata; Masanori Ozaki; Shinichi Kan; Yusuke Inoue
Journal:  Radiographics       Date:  2011 Jul-Aug       Impact factor: 5.333

5.  Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging.

Authors:  D Le Bihan; E Breton; D Lallemand; M L Aubin; J Vignaud; M Laval-Jeantet
Journal:  Radiology       Date:  1988-08       Impact factor: 11.105

6.  Diffusion-weighted imaging improves the diagnostic accuracy of conventional 3.0-T breast MR imaging.

Authors:  Riham H Ei Khouli; Michael A Jacobs; Sarah D Mezban; Peng Huang; Ihab R Kamel; Katarzyna J Macura; David A Bluemke
Journal:  Radiology       Date:  2010-07       Impact factor: 11.105

7.  The role of lymphocytes and macrophages in human breast tumorigenesis: an immunohistochemical and morphometric study.

Authors:  Herzl Ben-Hur; Ophir Cohen; David Schneider; Pavel Gurevich; Reuvit Halperin; Uri Bala; Marta Mozes; Itshak Zusman
Journal:  Anticancer Res       Date:  2002 Mar-Apr       Impact factor: 2.480

8.  Differentiation of clinically benign and malignant breast lesions using diffusion-weighted imaging.

Authors:  Yong Guo; You-Quan Cai; Zu-Long Cai; Yuan-Gui Gao; Ning-Yu An; Lin Ma; Srikanth Mahankali; Jia-Hong Gao
Journal:  J Magn Reson Imaging       Date:  2002-08       Impact factor: 4.813

9.  Efficacy of MRI and mammography for breast-cancer screening in women with a familial or genetic predisposition.

Authors:  Mieke Kriege; Cecile T M Brekelmans; Carla Boetes; Peter E Besnard; Harmine M Zonderland; Inge Marie Obdeijn; Radu A Manoliu; Theo Kok; Hans Peterse; Madeleine M A Tilanus-Linthorst; Sara H Muller; Sybren Meijer; Jan C Oosterwijk; Louk V A M Beex; Rob A E M Tollenaar; Harry J de Koning; Emiel J T Rutgers; Jan G M Klijn
Journal:  N Engl J Med       Date:  2004-07-29       Impact factor: 91.245

10.  Risk factors for breast cancer in women with proliferative breast disease.

Authors:  W D Dupont; D L Page
Journal:  N Engl J Med       Date:  1985-01-17       Impact factor: 91.245

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  9 in total

1.  Diffusion-weighted MRI for Unenhanced Breast Cancer Screening.

Authors:  Nita Amornsiripanitch; Sebastian Bickelhaupt; Hee Jung Shin; Madeline Dang; Habib Rahbar; Katja Pinker; Savannah C Partridge
Journal:  Radiology       Date:  2019-10-08       Impact factor: 11.105

Review 2.  Digital Analysis in Breast Imaging.

Authors:  Giovanna Negrão de Figueiredo; Michael Ingrisch; Eva Maria Fallenberg
Journal:  Breast Care (Basel)       Date:  2019-06-04       Impact factor: 2.860

3.  The value of whole-tumor histogram and texture analysis based on apparent diffusion coefficient (ADC) maps for the discrimination of breast fibroepithelial lesions: corresponds to clinical management decisions.

Authors:  Xue Li; Weimin Chai; Kun Sun; Caixia Fu; Fuhua Yan
Journal:  Jpn J Radiol       Date:  2022-07-06       Impact factor: 2.374

4.  Breast density is strongly associated with multiparametric magnetic resonance imaging biomarkers and pro-tumorigenic proteins in situ.

Authors:  Peter Lundberg; Mikael F Forsgren; Jens Tellman; Johan Kihlberg; Anna Rzepecka; Charlotta Dabrosin
Journal:  Br J Cancer       Date:  2022-09-22       Impact factor: 9.075

5.  Retrospective Correction of ADC for Gradient Nonlinearity Errors in Multicenter Breast DWI Trials: ACRIN6698 Multiplatform Feasibility Study.

Authors:  Dariya I Malyarenko; David C Newitt; Ghoncheh Amouzandeh; Lisa J Wilmes; Ek T Tan; Luca Marinelli; Ajit Devaraj; Johannes M Peeters; Shivraman Giri; Axel Vom Endt; Nola M Hylton; Savannah C Partridge; Thomas L Chenevert
Journal:  Tomography       Date:  2020-06

6.  Can apparent diffusion coefficient (ADC) distinguish breast cancer from benign breast findings? A meta-analysis based on 13 847 lesions.

Authors:  Alexey Surov; Hans Jonas Meyer; Andreas Wienke
Journal:  BMC Cancer       Date:  2019-10-15       Impact factor: 4.430

7.  Breast MRI in the era of diffusion weighted imaging: do we still need signal-intensity time curves?

Authors:  Matthias Dietzel; Stephan Ellmann; Rüdiger Schulz-Wendtland; Paola Clauser; Evelyn Wenkel; Michael Uder; Pascal A T Baltzer
Journal:  Eur Radiol       Date:  2019-07-29       Impact factor: 5.315

Review 8.  [Diffusion-Weighted Imaging as a Stand-Alone Breast Imaging Modality].

Authors:  Hee Jung Shin; Su Hyun Lee; Woo Kyung Moon
Journal:  Taehan Yongsang Uihakhoe Chi       Date:  2021-01-31

9.  Magnetic resonance imaging of fibroadenoma-like lesions and correlation with Breast Imaging-Reporting and Data System and Kaiser scoring system.

Authors:  Daniel J Cloete; Cornelia Minne; Peter K Schoub; Jan H R Becker
Journal:  SA J Radiol       Date:  2018-11-07
  9 in total

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