Literature DB >> 17149623

Relationship between DCE-MRI morphological and functional features and histopathological characteristics of breast cancer.

Filippo Montemurro1, Laura Martincich, Ivana Sarotto, Ilaria Bertotto, Riccardo Ponzone, Lisa Cellini, Stefania Redana, Piero Sismondi, Massimo Aglietta, Daniele Regge.   

Abstract

We studied whether dynamic contrast-enhanced MRI (DCE-MRI) could identify histopathological characteristics of breast cancer. Seventy-five patients with breast cancer underwent DCE-MRI followed by core biopsy. DCE-MRI findings were evaluated following the scoring system published by Fischer in 1999. In this scoring system, five DCE-MRI features, three morphological (shape, margins, enhancement kinetic) and two functional (initial peak of signal intensity (SI) increase and behavior of signal intensity curve), are defined by 14 parameters. Each parameter is assigned points ranging from 0 to 1 or 0 to 2, with higher points for those that are more likely to be associated with malignancy. The sum of all the points defines the degree of suspicion of malignancy, with a score 0 representing the lowest and 8 the highest degree of suspicion. Associations between DCE-MRI features and tumor histopathological characteristics assessed on core biopsies (histological type, grading, estrogen and progesterone receptor status, Ki67 and HER2 status) were studied by contingency tables and logistic regression analysis. We found a significant inverse association between the Fischer's score and HER2-overexpression (odds ratio-OR 0.608, p = 0.02). Based on our results, we suggest that lesions with intermediate-low suspicious DCE-MRI parameters may represent a subset of tumor with poor histopathological characteristics.

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Year:  2006        PMID: 17149623     DOI: 10.1007/s00330-006-0505-x

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  38 in total

1.  Utility of magnetic resonance imaging in the management of breast cancer: evidence for improved preoperative staging.

Authors:  L Esserman; N Hylton; L Yassa; J Barclay; S Frankel; E Sickles
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Review 2.  Management of women at high risk for breast cancer: new imaging beyond mammography.

Authors:  C K Kuhl; W Kuhn; H Schild
Journal:  Breast       Date:  2005-09-26       Impact factor: 4.380

3.  Do the histologic features and results of breast cancer biomarker studies differ between core biopsy and surgical excision specimens?

Authors:  Chandra N Burge; Helena R Chang; Sophia K Apple
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4.  Contrast-Enhanced Magnetic Resonance Imaging to Assess Tumor Histopathology and Angiogenesis in Breast Carcinoma.

Authors:  Laura Esserman; Nola Hylton; Tracy George; Noel Weidner
Journal:  Breast J       Date:  1999-01       Impact factor: 2.431

5.  Trastuzumab after adjuvant chemotherapy in HER2-positive breast cancer.

Authors:  Martine J Piccart-Gebhart; Marion Procter; Brian Leyland-Jones; Aron Goldhirsch; Michael Untch; Ian Smith; Luca Gianni; Jose Baselga; Richard Bell; Christian Jackisch; David Cameron; Mitch Dowsett; Carlos H Barrios; Günther Steger; Chiun-Shen Huang; Michael Andersson; Moshe Inbar; Mikhail Lichinitser; István Láng; Ulrike Nitz; Hiroji Iwata; Christoph Thomssen; Caroline Lohrisch; Thomas M Suter; Josef Rüschoff; Tamás Suto; Victoria Greatorex; Carol Ward; Carolyn Straehle; Eleanor McFadden; M Stella Dolci; Richard D Gelber
Journal:  N Engl J Med       Date:  2005-10-20       Impact factor: 91.245

6.  The significance of circumscribed malignant mammographic masses in the surveillance of BRCA 1/2 gene mutation carriers.

Authors:  R Kaas; R Kroger; J H C L Hendriks; A P E Besnard; W Koops; F A Pameijer; W Prevoo; C E Loo; S H Muller
Journal:  Eur Radiol       Date:  2004-04-09       Impact factor: 5.315

7.  Magnetic resonance molecular imaging of the HER-2/neu receptor.

Authors:  Dmitri Artemov; Noriko Mori; Rajani Ravi; Zaver M Bhujwalla
Journal:  Cancer Res       Date:  2003-06-01       Impact factor: 12.701

8.  Quantitative analysis of dynamic Gd-DTPA enhancement in breast tumors using a permeability model.

Authors:  P S Tofts; B Berkowitz; M D Schnall
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9.  Correlation of histologic prognostic factors in core biopsies and therapeutic excisions of invasive breast carcinoma.

Authors:  Gavin C Harris; Helen E Denley; Sarah E Pinder; Andrew H S Lee; Ian O Ellis; Christopher W Elston; Andrew Evans
Journal:  Am J Surg Pathol       Date:  2003-01       Impact factor: 6.394

Review 10.  MR imaging of the breast: indications, established technique, and new directions.

Authors:  F Sardanelli; A Iozzelli; A Fausto
Journal:  Eur Radiol       Date:  2003-11       Impact factor: 7.034

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  17 in total

1.  Can dynamic contrast-enhanced MRI (DCE-MRI) predict tumor recurrence and lymph node status in patients with breast cancer?

Authors:  S Bahri; J-H Chen; H J Yu; A Kuzucan; O Nalcioglu; M-Y Su
Journal:  Ann Oncol       Date:  2008-03-05       Impact factor: 32.976

2.  Incorporating a vascular term into a reference region model for the analysis of DCE-MRI data: a simulation study.

Authors:  A Z Faranesh; T E Yankeelov
Journal:  Phys Med Biol       Date:  2008-04-25       Impact factor: 3.609

3.  Role of DCE-MR in predicting breast cancer subtypes.

Authors:  Marco Macchini; Martina Ponziani; Andrea Prochowski Iamurri; Mirco Pistelli; Mariagrazia De Lisa; Rossana Berardi; Gian Marco Giuseppetti
Journal:  Radiol Med       Date:  2018-06-05       Impact factor: 3.469

4.  Correlations between diffusion-weighted imaging and breast cancer biomarkers.

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Journal:  Eur Radiol       Date:  2012-03-13       Impact factor: 5.315

5.  MRI kinetics with volumetric analysis in correlation with hormonal receptor subtypes and histologic grade of invasive breast cancers.

Authors:  Lester Chee Hao Leong; Eva C Gombos; Jayender Jagadeesan; Stephanie Man Chung Fook-Chong
Journal:  AJR Am J Roentgenol       Date:  2015-03       Impact factor: 3.959

6.  Fischer's score criteria correlating with histopathological prognostic factors in invasive breast cancer.

Authors:  V Girardi; G Carbognin; L Camera; M Tonegutti; F Bonetti; E Manfrin; R Pozzi Mucelli
Journal:  Radiol Med       Date:  2009-09-22       Impact factor: 3.469

7.  Estrogen receptor and breast MR imaging features: a correlation study.

Authors:  Jeon-Hor Chen; Hyeon-Man Baek; Orhan Nalcioglu; Min-Ying Su
Journal:  J Magn Reson Imaging       Date:  2008-04       Impact factor: 4.813

8.  Intraindividual, randomized comparison of the macrocyclic contrast agents gadobutrol and gadoterate meglumine in breast magnetic resonance imaging.

Authors:  Eva M Fallenberg; Diane M Renz; Bettina Karle; Carsten Schwenke; Barbara Ingod-Heppner; Angela Reles; Florian J Engelken; Alexander Huppertz; Bernd Hamm; Matthias Taupitz
Journal:  Eur Radiol       Date:  2014-09-25       Impact factor: 5.315

9.  Relationship between morphological features and kinetic patterns of enhancement of the dynamic breast magnetic resonance imaging and clinico-pathological and biological factors in invasive breast cancer.

Authors:  Oscar Fernández-Guinea; Alejandro Andicoechea; Luis O González; Salomé González-Reyes; Antonio M Merino; Luis C Hernández; Alfonso López-Muñiz; Paz García-Pravia; Francisco J Vizoso
Journal:  BMC Cancer       Date:  2010-01-08       Impact factor: 4.430

10.  Texture Analysis Using Semiquantitative Kinetic Parameter Maps from DCE-MRI: Preoperative Prediction of HER2 Status in Breast Cancer.

Authors:  Lirong Song; Chunli Li; Jiandong Yin
Journal:  Front Oncol       Date:  2021-06-08       Impact factor: 6.244

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