Literature DB >> 31468162

Differentiation between subcentimeter carcinomas and benign lesions using kinetic parameters derived from ultrafast dynamic contrast-enhanced breast MRI.

Natsuko Onishi1, Meredith Sadinski1, Peter Gibbs1,2, Katherine M Gallagher1, Mary C Hughes1, Eun Sook Ko1, Brittany Z Dashevsky1,3, Dattesh D Shanbhag4, Maggie M Fung5, Theodore M Hunt1, Danny F Martinez1, Amita Shukla-Dave1,2, Elizabeth A Morris1, Elizabeth J Sutton6.   

Abstract

OBJECTIVES: This study aims to evaluate ultrafast DCE-MRI-derived kinetic parameters that reflect contrast agent inflow effects in differentiating between subcentimeter BI-RADS 4-5 breast carcinomas and benign lesions.
METHODS: We retrospectively reviewed consecutive 3-T MRI performed from February to October 2017, during which ultrafast DCE-MRI was performed as part of a hybrid clinical protocol with conventional DCE-MRI. In total, 301 female patients with 369 biopsy-proven breast lesions were included. Ultrafast DCE-MRI was acquired continuously over approximately 60 s (temporal resolution, 2.7-7.1 s/phase) starting simultaneously with the start of contrast injection. Four ultrafast DCE-MRI-derived kinetic parameters (maximum slope [MS], contrast enhancement ratio [CER], bolus arrival time [BAT], and initial area under gadolinium contrast agent concentration [IAUGC]) and one conventional DCE-MRI-derived kinetic parameter (signal enhancement ratio [SER]) were calculated for each lesion. Wilcoxon rank sum test or Fisher's exact test was performed to compare kinetic parameters, volume, diameter, age, and BI-RADS morphological descriptors between subcentimeter carcinomas and benign lesions. Univariate/multivariate logistic regression analyses were performed to determine predictive parameters for subcentimeter carcinomas.
RESULTS: In total, 125 lesions (26 carcinomas and 99 benign lesions) were identified as BI-RADS 4-5 subcentimeter lesions. Subcentimeter carcinomas demonstrated significantly larger MS and SER and shorter BAT than benign lesions (p = 0.0117, 0.0046, and 0.0102, respectively). MS, BAT, and age were determined as significantly predictive for subcentimeter carcinoma (p = 0.0208, 0.0023, and < 0.0001, respectively).
CONCLUSIONS: Ultrafast DCE-MRI-derived kinetic parameters may be useful in differentiating subcentimeter BI-RADS 4 and 5 carcinomas from benign lesions. KEY POINTS: • Ultrafast DCE-MRI can generate kinetic parameters, effectively differentiating breast carcinomas from benign lesions. • Subcentimeter carcinomas demonstrated significantly larger maximum slope and shorter bolus arrival time than benign lesions. • Maximum slope and bolus arrival time contribute to better management of suspicious subcentimeter breast lesions.

Entities:  

Keywords:  Breast; Cancer; Differential diagnosis; Kinetics; Magnetic resonance imaging

Mesh:

Substances:

Year:  2019        PMID: 31468162      PMCID: PMC7570436          DOI: 10.1007/s00330-019-06392-5

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


  31 in total

Review 1.  The current status of breast MR imaging. Part I. Choice of technique, image interpretation, diagnostic accuracy, and transfer to clinical practice.

Authors:  Christiane Kuhl
Journal:  Radiology       Date:  2007-08       Impact factor: 11.105

2.  Perfusion and vascular permeability: basic concepts and measurement in DCE-CT and DCE-MRI.

Authors:  C A Cuenod; D Balvay
Journal:  Diagn Interv Imaging       Date:  2013-11-07       Impact factor: 4.026

3.  Comparison of conventional DCE-MRI and a novel golden-angle radial multicoil compressed sensing method for the evaluation of breast lesion conspicuity.

Authors:  Laura Heacock; Yiming Gao; Samantha L Heller; Amy N Melsaether; James S Babb; Tobias K Block; Ricardo Otazo; Sungheon G Kim; Linda Moy
Journal:  J Magn Reson Imaging       Date:  2016-11-17       Impact factor: 4.813

4.  Kinetic Analysis of Benign and Malignant Breast Lesions With Ultrafast Dynamic Contrast-Enhanced MRI: Comparison With Standard Kinetic Assessment.

Authors:  Hiroyuki Abe; Naoko Mori; Keiko Tsuchiya; David V Schacht; Federico D Pineda; Yulei Jiang; Gregory S Karczmar
Journal:  AJR Am J Roentgenol       Date:  2016-08-17       Impact factor: 3.959

5.  DIfferential Subsampling with Cartesian Ordering (DISCO): a high spatio-temporal resolution Dixon imaging sequence for multiphasic contrast enhanced abdominal imaging.

Authors:  Manojkumar Saranathan; Dan W Rettmann; Brian A Hargreaves; Sharon E Clarke; Shreyas S Vasanawala
Journal:  J Magn Reson Imaging       Date:  2012-02-14       Impact factor: 4.813

6.  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

7.  MRI appearance of invasive subcentimetre breast carcinoma: benign characteristics are common.

Authors:  Matthias Meissnitzer; D David Dershaw; Kimberly Feigin; Blanca Bernard-Davila; Filipe Barra; Elizabeth A Morris
Journal:  Br J Radiol       Date:  2017-05-25       Impact factor: 3.039

8.  A novel approach to contrast-enhanced breast magnetic resonance imaging for screening: high-resolution ultrafast dynamic imaging.

Authors:  Ritse M Mann; Roel D Mus; Jan van Zelst; Christian Geppert; Nico Karssemeijer; Bram Platel
Journal:  Invest Radiol       Date:  2014-09       Impact factor: 6.016

Review 9.  The role of mechanical forces in tumor growth and therapy.

Authors:  Rakesh K Jain; John D Martin; Triantafyllos Stylianopoulos
Journal:  Annu Rev Biomed Eng       Date:  2014-07-11       Impact factor: 9.590

Review 10.  MRI compared to conventional diagnostic work-up in the detection and evaluation of invasive lobular carcinoma of the breast: a review of existing literature.

Authors:  Ritse M Mann; Yvonne L Hoogeveen; Johan G Blickman; Carla Boetes
Journal:  Breast Cancer Res Treat       Date:  2007-02-15       Impact factor: 4.872

View more
  7 in total

1.  Using deep learning to safely exclude lesions with only ultrafast breast MRI to shorten acquisition and reading time.

Authors:  Xueping Jing; Mirjam Wielema; Ludo J Cornelissen; Margo van Gent; Willie M Iwema; Sunyi Zheng; Paul E Sijens; Matthijs Oudkerk; Monique D Dorrius; Peter M A van Ooijen
Journal:  Eur Radiol       Date:  2022-05-26       Impact factor: 5.315

2.  Visual Evaluation of Ultrafast MRI in the Assessment of Residual Breast Cancer after Neoadjuvant Systemic Therapy: A Preliminary Study Association with Subtype.

Authors:  Maya Honda; Masako Kataoka; Mami Iima; Rie Ota; Akane Ohashi; Ayami Ohno Kishimoto; Kanae Kawai Miyake; Marcel Dominik Nickel; Yosuke Yamada; Masakazu Toi; Yuji Nakamoto
Journal:  Tomography       Date:  2022-06-10

3.  Breast Tumor Identification in Ultrafast MRI Using Temporal and Spatial Information.

Authors:  Xueping Jing; Monique D Dorrius; Mirjam Wielema; Paul E Sijens; Matthijs Oudkerk; Peter van Ooijen
Journal:  Cancers (Basel)       Date:  2022-04-18       Impact factor: 6.575

4.  Discriminating low-grade ductal carcinoma in situ (DCIS) from non-low-grade DCIS or DCIS upgraded to invasive carcinoma: effective texture features on ultrafast dynamic contrast-enhanced magnetic resonance imaging.

Authors:  Naoko Mori; Hiroyuki Abe; Shunji Mugikura; Minoru Miyashita; Yu Mori; Yo Oguma; Minami Hirasawa; Satoko Sato; Kei Takase
Journal:  Breast Cancer       Date:  2021-04-26       Impact factor: 4.239

Review 5.  Breast cancer screening and early diagnosis in Chinese women.

Authors:  Rui Ding; Yi Xiao; Miao Mo; Ying Zheng; Yi-Zhou Jiang; Zhi-Ming Shao
Journal:  Cancer Biol Med       Date:  2022-04-05       Impact factor: 5.347

Review 6.  Ultrafast Dynamic Contrast-enhanced MRI of the Breast: How Is It Used?

Authors:  Masako Kataoka; Maya Honda; Akane Ohashi; Ken Yamaguchi; Naoko Mori; Mariko Goto; Tomoyuki Fujioka; Mio Mori; Yutaka Kato; Hiroko Satake; Mami Iima; Kazunori Kubota
Journal:  Magn Reson Med Sci       Date:  2022-02-25       Impact factor: 2.760

7.  Ultrafast dynamic contrast-enhanced breast MRI may generate prognostic imaging markers of breast cancer.

Authors:  Natsuko Onishi; Meredith Sadinski; Mary C Hughes; Eun Sook Ko; Peter Gibbs; Katherine M Gallagher; Maggie M Fung; Theodore J Hunt; Danny F Martinez; Amita Shukla-Dave; Elizabeth A Morris; Elizabeth J Sutton
Journal:  Breast Cancer Res       Date:  2020-05-28       Impact factor: 6.466

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.