Literature DB >> 26863896

Intravoxel incoherent motion MR imaging for breast lesions: comparison and correlation with pharmacokinetic evaluation from dynamic contrast-enhanced MR imaging.

Chunling Liu1, Kun Wang2, Queenie Chan3, Zaiyi Liu1, Jine Zhang1, Hui He1, Shuixing Zhang1, Changhong Liang4.   

Abstract

OBJECTIVES: To compare diagnostic performance for breast lesions by quantitative parameters derived from intravoxel incoherent motion (IVIM) and dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) and to explore whether correlations exist between these parameters.
METHODS: IVIM and DCE MRI were performed on a 1.5-T MRI scanner in patients with suspicious breast lesions. Thirty-six breast cancers and 23 benign lesions were included in the study. Quantitative parameters from IVIM (D, f and D*) and DCE MRI (Ktrans, Kep, Ve and Vp) were calculated and compared between malignant and benign lesions. Spearman correlation test was used to evaluate correlations between them.
RESULTS: D, f, D* from IVIM and Ktrans, Kep, Vp from DCE MRI were statistically different between breast cancers and benign lesions (p < 0.05, respectively) and D demonstrated the largest area under the receiver-operating characteristic curve (AUC = 0.917) and had the highest specificity (83 %). The f value was moderately statistically correlated with Vp (r = 0.692) and had a poor correlation with Ktrans (r = 0.456).
CONCLUSIONS: IVIM MRI is useful in the differentiation of breast lesions. Significant correlations were found between perfusion-related parameters from IVIM and DCE MRI. IVIM may be a useful adjunctive tool to standard MRI in diagnosing breast cancer. KEY POINTS: • IVIM provided diffusion as well as perfusion information • IVIM could help differential diagnosis of breast lesions • Correlations were found between perfusion-related parameters from IVIM and DCE MRI.

Entities:  

Keywords:  Breast neoplasm; DCE MRI; Diffusion-weighted imaging; Intravoxel incoherent motion; Magnetic resonance imaging

Mesh:

Substances:

Year:  2016        PMID: 26863896     DOI: 10.1007/s00330-016-4241-6

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


  36 in total

1.  Perfusion-related parameters in intravoxel incoherent motion MR imaging compared with CBV and CBF measured by dynamic susceptibility-contrast MR technique.

Authors:  R Wirestam; M Borg; S Brockstedt; A Lindgren; S Holtås; F Ståhlberg
Journal:  Acta Radiol       Date:  2001-03       Impact factor: 1.990

2.  Comparisons of multi b-value DWI signal analysis with pathological specimen of breast cancer.

Authors:  Takayuki Tamura; Shuji Usui; Shigeru Murakami; Koji Arihiro; Takashi Fujimoto; Tamaki Yamada; Kumiko Naito; Mitoshi Akiyama
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3.  Efficient method for calculating kinetic parameters using T1-weighted dynamic contrast-enhanced magnetic resonance imaging.

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Journal:  Magn Reson Med       Date:  2004-04       Impact factor: 4.668

Review 4.  Modeling tracer kinetics in dynamic Gd-DTPA MR imaging.

Authors:  P S Tofts
Journal:  J Magn Reson Imaging       Date:  1997 Jan-Feb       Impact factor: 4.813

5.  Salivary gland tumors: use of intravoxel incoherent motion MR imaging for assessment of diffusion and perfusion for the differentiation of benign from malignant tumors.

Authors:  Misa Sumi; Marc Van Cauteren; Tadateru Sumi; Makoto Obara; Yoko Ichikawa; Takashi Nakamura
Journal:  Radiology       Date:  2012-03-23       Impact factor: 11.105

6.  Intravoxel incoherent motion MR imaging of the kidney: pilot study.

Authors:  Per Eckerbom; Peter Hansell; Tomas Bjerner; Fredrik Palm; Jan Weis; Per Liss
Journal:  Adv Exp Med Biol       Date:  2013       Impact factor: 2.622

7.  Initial experience of correlating parameters of intravoxel incoherent motion and dynamic contrast-enhanced magnetic resonance imaging at 3.0 T in nasopharyngeal carcinoma.

Authors:  Qian-Jun Jia; Shui-Xing Zhang; Wen-Bo Chen; Long Liang; Zheng-Gen Zhou; Qian-Hui Qiu; Zai-Yi Liu; Qiong-Xin Zeng; Chang-Hong Liang
Journal:  Eur Radiol       Date:  2014-07-23       Impact factor: 5.315

8.  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

9.  Predicting pathologic response to neoadjuvant chemotherapy in breast cancer by using MR imaging and quantitative 1H MR spectroscopy.

Authors:  Hyeon-Man Baek; Jeon-Hor Chen; Ke Nie; Hon J Yu; Shadfar Bahri; Rita S Mehta; Orhan Nalcioglu; Min-Ying Su
Journal:  Radiology       Date:  2009-03-10       Impact factor: 11.105

10.  Intravoxel incoherent motion MRI: emerging applications for nasopharyngeal carcinoma at the primary site.

Authors:  Shui-xing Zhang; Qian-jun Jia; Zhong-ping Zhang; Chang-hong Liang; Wen-bo Chen; Qian-hui Qiu; He Li
Journal:  Eur Radiol       Date:  2014-05-18       Impact factor: 5.315

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  22 in total

1.  Intravoxel Incoherent Motion MR Imaging in the Differentiation of Benign and Malignant Sinonasal Lesions: Comparison with Conventional Diffusion-Weighted MR Imaging.

Authors:  Z Xiao; Z Tang; J Qiang; S Wang; W Qian; Y Zhong; R Wang; J Wang; L Wu; W Tang; Z Zhang
Journal:  AJNR Am J Neuroradiol       Date:  2018-01-25       Impact factor: 3.825

2.  Standard diffusion-weighted, diffusion kurtosis and intravoxel incoherent motion MR imaging of sinonasal malignancies: correlations with Ki-67 proliferation status.

Authors:  Zebin Xiao; Yufeng Zhong; Zuohua Tang; Jinwei Qiang; Wen Qian; Rong Wang; Jie Wang; Lingjie Wu; Wenlin Tang; Zhongshuai Zhang
Journal:  Eur Radiol       Date:  2018-01-30       Impact factor: 5.315

3.  Differentiation between phyllodes tumours and fibroadenomas using intravoxel incoherent motion magnetic resonance imaging: comparison with conventional diffusion-weighted imaging.

Authors:  Hiroko Kawashima; Tosiaki Miyati; Naoki Ohno; Masako Ohno; Masafumi Inokuchi; Hiroko Ikeda; Toshifumi Gabata
Journal:  Br J Radiol       Date:  2018-01-31       Impact factor: 3.039

4.  Correlations between intravoxel incoherent motion diffusion-weighted MR imaging parameters and 18F-FDG PET/CT metabolic parameters in patients with vertebral bone metastases: initial experience.

Authors:  Sunghoon Park; Joon-Kee Yoon; Nam-Su Chung; Sang Hyun Kim; Jinwoo Hwang; Hyun Young Lee; Kyu-Sung Kwack
Journal:  Br J Radiol       Date:  2018-03-20       Impact factor: 3.039

Review 5.  The potential of multiparametric MRI of the breast.

Authors:  Katja Pinker; Thomas H Helbich; Elizabeth A Morris
Journal:  Br J Radiol       Date:  2016-11-02       Impact factor: 3.039

6.  Assessment of quantitative dynamic contrast-enhanced MRI in distinguishing different histologic grades of breast phyllode tumor.

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Journal:  Eur Radiol       Date:  2021-09-07       Impact factor: 7.034

7.  Characterization of the diffusion signal of breast tissues using multi-exponential models.

Authors:  Ana E Rodríguez-Soto; Maren M Sjaastad Andreassen; Lauren K Fang; Christopher C Conlin; Helen H Park; Grace S Ahn; Hauke Bartsch; Joshua Kuperman; Igor Vidić; Haydee Ojeda-Fournier; Anne M Wallace; Michael Hahn; Tyler M Seibert; Neil Peter Jerome; Agnes Østlie; Tone Frost Bathen; Pål Erik Goa; Rebecca Rakow-Penner; Anders M Dale
Journal:  Magn Reson Med       Date:  2021-12-14       Impact factor: 3.737

8.  Identification of histological features of endometrioid adenocarcinoma based on amide proton transfer-weighted imaging and multimodel diffusion-weighted imaging.

Authors:  Fangfang Fu; Nan Meng; Zhun Huang; Jing Sun; Xuejia Wang; Jie Shang; Ting Fang; Pengyang Feng; Kaiyu Wang; Dongming Han; Meiyun Wang
Journal:  Quant Imaging Med Surg       Date:  2022-02

9.  Assessment of Correlation between Intravoxel Incoherent Motion Diffusion Weighted MR Imaging and Dynamic Contrast-Enhanced MR Imaging of Sacroiliitis with Ankylosing Spondylitis.

Authors:  Yinghua Zhao; Qun Zhang; Zhiming Xiang; Shaolin Li; Wei Li; Yanqiu Feng; Yihao Guo
Journal:  Biomed Res Int       Date:  2017-12-27       Impact factor: 3.411

10.  Intravoxel incoherent motion (IVIM) histogram biomarkers for prediction of neoadjuvant treatment response in breast cancer patients.

Authors:  Gene Y Cho; Lucas Gennaro; Elizabeth J Sutton; Emily C Zabor; Zhigang Zhang; Dilip Giri; Linda Moy; Daniel K Sodickson; Elizabeth A Morris; Eric E Sigmund; Sunitha B Thakur
Journal:  Eur J Radiol Open       Date:  2017-08-18
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