Literature DB >> 25776017

MR mammography using diffusion-weighted imaging in evaluating breast cancer: a correlation with proliferation index.

Cristina Molinari1, Paola Clauser2, Rossano Girometti1, Anna Linda1, Elisa Cimino1, Fabio Puglisi3, Chiara Zuiani1, Massimo Bazzocchi1.   

Abstract

PURPOSE: To evaluate whether the variation of the apparent diffusion coefficient (ADC) values obtained with DWI can predict elevated levels of Ki67 proliferation index and aggressive subtypes in patients with breast cancer.
MATERIALS AND METHODS: Breast MRI studies of 115 patients (mean age 57.3 years, range 36-81 years) with a biopsy-proven breast cancers were evaluated in this retrospective IRB-approved study. Examinations were performed on a 1.5 T magnet and included a Single-Shot Echoplanar DWI sequence with b values of 0 and 1000 s/mm(2). For each target lesion, ADC was measured. ADC values were compared considering Ki67 status (≥20 % or <20 %), histology, grade (G1, G2 or G3) and clinical-pathological classification (Luminal A, Luminal B HER2-positive, Luminal B HER-2 negative, HER-2 enriched and Triple Negative). Mann-Whitney U test and Kruskal-Wallis test were used for comparisons and receiver operating characteristic (ROC) curves were obtained. Inter- and intra-reader variability was evaluated in a subset of 40 patients, using interclass correlation coefficient (ICC) and Bland-Altman plots.
RESULTS: Of 115 lesions, 53 (46.1 %) were assessed as Ki67 positive and 62 (53.9 %) as Ki67 negative. ADC values were significantly (p < 0.0001) lower in Ki67-positive patients (median 0.86 × 10(-3) mm(2)/s; interquartile range 0.75-0.92) compared to Ki67-negative (median 1.03 × 10(-3) mm(2)/s; interquartile range 0.92-1.13). Median ADC was also lower in G2 and G3 cancer and in the Luminal B Her2-negative subtype (p = 0.0015). No differences were found when evaluating histology. ROC curve showed a sensitivity and specificity of 83.0 and 66.1 %, respectively, when using a cutoff of 0.95 s/mm(2) to differentiate Ki67-positive from Ki67-negative cancers. Inter- and intra-reader variability was moderate (ICC = 0.623; ICC = 0.548, respectively). No systematic differences were identified with Bland-Altman plots.
CONCLUSIONS: Lower ADC values are associated with elevated Ki67 proliferation index and more aggressive pathologic features. Moderate agreement in ADC measurement could be a limitation.

Entities:  

Keywords:  Breast neoplasms; Diffusion-weighted imaging; Ki67 antygen; Magnetic resonance imaging; Tumor markers

Mesh:

Substances:

Year:  2015        PMID: 25776017     DOI: 10.1007/s11547-015-0527-z

Source DB:  PubMed          Journal:  Radiol Med        ISSN: 0033-8362            Impact factor:   3.469


  37 in total

1.  Diffusion-weighted imaging in breast cancer: relationship between apparent diffusion coefficient and tumour aggressiveness.

Authors:  M Costantini; P Belli; P Rinaldi; E Bufi; G Giardina; G Franceschini; G Petrone; L Bonomo
Journal:  Clin Radiol       Date:  2010-09-24       Impact factor: 2.350

2.  Apparent diffusion coefficient as a potential surrogate marker for Ki-67 index in mucinous breast carcinoma.

Authors:  Natsuko Onishi; Shotaro Kanao; Masako Kataoka; Mami Iima; Rena Sakaguchi; Makiko Kawai; Tatsuki R Kataoka; Yoshiki Mikami; Masakazu Toi; Kaori Togashi
Journal:  J Magn Reson Imaging       Date:  2014-03-04       Impact factor: 4.813

3.  Intraobserver and interobserver variability in the calculation of apparent diffusion coefficient (ADC) from diffusion-weighted magnetic resonance imaging (DW-MRI) of breast tumours.

Authors:  G Petralia; L Bonello; P Summers; L Preda; A Malasevschi; S Raimondi; R Di Filippi; M Locatelli; G Curigliano; G Renne; M Bellomi
Journal:  Radiol Med       Date:  2011-01-12       Impact factor: 3.469

4.  Breast MRI as an adjunct to mammography: Does it really suffer from low specificity? A retrospective analysis stratified by mammographic BI-RADS classes.

Authors:  Matthias Benndorf; Pascal A T Baltzer; Tibor Vag; Mieczyslaw Gajda; Ingo B Runnebaum; Werner A Kaiser
Journal:  Acta Radiol       Date:  2010-09       Impact factor: 1.990

5.  American Society of Clinical Oncology/College of American Pathologists guideline recommendations for human epidermal growth factor receptor 2 testing in breast cancer.

Authors:  Antonio C Wolff; M Elizabeth H Hammond; Jared N Schwartz; Karen L Hagerty; D Craig Allred; Richard J Cote; Mitchell Dowsett; Patrick L Fitzgibbons; Wedad M Hanna; Amy Langer; Lisa M McShane; Soonmyung Paik; Mark D Pegram; Edith A Perez; Michael F Press; Anthony Rhodes; Catharine Sturgeon; Sheila E Taube; Raymond Tubbs; Gail H Vance; Marc van de Vijver; Thomas M Wheeler; Daniel F Hayes
Journal:  J Clin Oncol       Date:  2006-12-11       Impact factor: 44.544

Review 6.  Imaging in the era of molecular oncology.

Authors:  Ralph Weissleder; Mikael J Pittet
Journal:  Nature       Date:  2008-04-03       Impact factor: 49.962

7.  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

8.  Apparent diffusion coefficient value of diffusion-weighted imaging for hepatocellular carcinoma: correlation with the histologic differentiation and the expression of vascular endothelial growth factor.

Authors:  Suk Hee Heo; Yong Yeon Jeong; Sang Soo Shin; Jin Woong Kim; Hyo Soon Lim; Jae Hyuk Lee; Yang Seok Koh; Chol Kyoon Cho; Heoung Keun Kang
Journal:  Korean J Radiol       Date:  2010-04-29       Impact factor: 3.500

9.  Diffusion-weighted imaging of breast cancer: correlation of the apparent diffusion coefficient value with prognostic factors.

Authors:  Sung Hun Kim; Eun Suk Cha; Hyeon Sook Kim; Bong Joo Kang; Jae Jeong Choi; Ji Han Jung; Yong Gyu Park; Young Jin Suh
Journal:  J Magn Reson Imaging       Date:  2009-09       Impact factor: 4.813

Review 10.  Ki-67: level of evidence and methodological considerations for its role in the clinical management of breast cancer: analytical and critical review.

Authors:  Elisabeth Luporsi; Fabrice André; Frédérique Spyratos; Pierre-Marie Martin; Jocelyne Jacquemier; Frédérique Penault-Llorca; Nicole Tubiana-Mathieu; Brigitte Sigal-Zafrani; Laurent Arnould; Anne Gompel; Caroline Egele; Bruno Poulet; Krishna B Clough; Hubert Crouet; Alain Fourquet; Jean-Pierre Lefranc; Carole Mathelin; Nicolas Rouyer; Daniel Serin; Marc Spielmann; Margaret Haugh; Marie-Pierre Chenard; Etienne Brain; Patricia de Cremoux; Jean-Pierre Bellocq
Journal:  Breast Cancer Res Treat       Date:  2011-11-03       Impact factor: 4.872

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  15 in total

1.  Is there a systematic bias of apparent diffusion coefficient (ADC) measurements of the breast if measured on different workstations? An inter- and intra-reader agreement study.

Authors:  Paola Clauser; Magda Marcon; Marta Maieron; Chiara Zuiani; Massimo Bazzocchi; Pascal A T Baltzer
Journal:  Eur Radiol       Date:  2015-10-07       Impact factor: 5.315

2.  Invasive ductal breast cancer: preoperative predict Ki-67 index based on radiomics of ADC maps.

Authors:  Yu Zhang; Yifeng Zhu; Kai Zhang; Yajie Liu; Jingjing Cui; Juan Tao; Yingzi Wang; Shaowu Wang
Journal:  Radiol Med       Date:  2019-11-06       Impact factor: 3.469

3.  Patient selection for partial breast irradiation by intraoperative radiation therapy: can magnetic resonance imaging be useful?-perspective from radiation oncology point of view.

Authors:  Marco Krengli; Carla Pisani; Letizia Deantonio
Journal:  J Thorac Dis       Date:  2016-09       Impact factor: 2.895

4.  Independent value of image fusion in unenhanced breast MRI using diffusion-weighted and morphological T2-weighted images for lesion characterization in patients with recently detected BI-RADS 4/5 x-ray mammography findings.

Authors:  Sebastian Bickelhaupt; Jana Tesdorff; Frederik Bernd Laun; Tristan Anselm Kuder; Wolfgang Lederer; Susanne Teiner; Klaus Maier-Hein; Heidi Daniel; Anne Stieber; Stefan Delorme; Heinz-Peter Schlemmer
Journal:  Eur Radiol       Date:  2016-05-18       Impact factor: 5.315

5.  [Correlations between apparent diffusion coefficient in diffusion?weighted magnetic resonance imaging and molecular subtypes of invasive breast cancer masses].

Authors:  Liu-Tong Shang; Jia-Fei Yang; Jing Lu; Ting-Ting Wang; Ying Zhou; Xin-Bo Xing; Xin-Kun Wang; Shu-Hui Yang; Ming-Yan Hu
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2017-10-20

6.  Relationship between functional imaging and immunohistochemical markers and prediction of breast cancer subtype: a PET/MRI study.

Authors:  Mariarosaria Incoronato; Anna Maria Grimaldi; Carlo Cavaliere; Marianna Inglese; Peppino Mirabelli; Serena Monti; Umberto Ferbo; Emanuele Nicolai; Andrea Soricelli; Onofrio Antonio Catalano; Marco Aiello; Marco Salvatore
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-04-25       Impact factor: 9.236

7.  DWI in the Assessment of Breast Lesions.

Authors:  Savannah C Partridge; Nita Amornsiripanitch
Journal:  Top Magn Reson Imaging       Date:  2017-10

8.  An analysis of Ki-67 expression in stage 1 invasive ductal breast carcinoma using apparent diffusion coefficient histograms.

Authors:  Maolin Xu; Qi Tang; Manxiu Li; Yulin Liu; Fang Li
Journal:  Quant Imaging Med Surg       Date:  2021-04

9.  Three-dimensional pulsed continuous arterial spin labeling and intravoxel incoherent motion imaging of nasopharyngeal carcinoma: correlations with Ki-67 proliferation status.

Authors:  Wenxiu Wu; Guihua Jiang; Zhifeng Xu; Ruoning Wang; Aizhen Pan; Mingyong Gao; Tian Yu; Linwen Huang; Qiang Quan; Jin Li
Journal:  Quant Imaging Med Surg       Date:  2021-04

Review 10.  Radiogenomic Analysis of Oncological Data: A Technical Survey.

Authors:  Mariarosaria Incoronato; Marco Aiello; Teresa Infante; Carlo Cavaliere; Anna Maria Grimaldi; Peppino Mirabelli; Serena Monti; Marco Salvatore
Journal:  Int J Mol Sci       Date:  2017-04-12       Impact factor: 5.923

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