Literature DB >> 34491383

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

Zhilong Yi1,2, Mingwei Xie2, Guangzi Shi2, Ziliang Cheng2, Hong Zeng3, Ningyi Jiang1, Zhuo Wu4,5.   

Abstract

OBJECTIVES: To investigate whether quantitative DCE-MRI (qDCE-MRI) could help distinguish breast phyllodes tumor (PT) grades.
MATERIALS AND METHODS: This retrospective study included 67 breast PTs (26 benign lesions, 25 borderline lesions, and 16 malignant lesions) from April 2016 to July 2020. MRI was performed with a 1.5-T MR system. Perfusion parameters (Ktrans, kep, ve, iAUC60) derived from qDCE-MRI, tumor size, and the mean ADC value were correlated with histologic grades using Spearman's rank correlation coefficient. Ktrans, kep, ve, and iAUC60 of three histologic grades were also calculated and compared.
RESULTS: The Spearman correlation coefficient with histologic grade of the tumor size was 0.578 (p < 0.001); the ADC value was not correlated with histologic grades of breast PT (p = 0.059). The Ktrans, kep, ve, and iAUC60 of benign breast PTs were significantly lower than those of borderline breast PTs (p < 0.001) and lower than those of malignant breast PTs (p < 0.001). In comparison, the Ktrans, ve, and iAUC60 of borderline breast PTs were significantly lower than those of malignant breast PTs (p < 0.001, p < 0.001, p = 0.007, respectively). For ROC analysis, AUCs of Ktrans, ve, and iAUC60 were higher than tumor size and ADC value for differentiating three PT grades.
CONCLUSION: Quantitative and semi-quantitative perfusion parameters (Ktrans, ve, and iAUC60, especially Ktrans) derived from qDCE-MRI showed better diagnosis efficiency than tumor size and ADC for grading breast PTs. Therefore, qDCE-MRI may be helpful for preoperative differentiating breast PT grades. KEY POINTS: • Quantitative dynamic contrast-enhanced MRI can be used as a complementary noninvasive method to improve the differential diagnosis of breast PT. • Ktrans, ve, and iAUC60 derived from qDCE-MRI showed better diagnosis efficiency than tumor size and ADC for grading breast PTs.
© 2021. European Society of Radiology.

Entities:  

Keywords:  Area under the curve; Breast neoplasms; Magnetic resonance imaging; Perfusion; Phyllodes tumor

Mesh:

Substances:

Year:  2021        PMID: 34491383     DOI: 10.1007/s00330-021-08232-x

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   7.034


  40 in total

Review 1.  Phyllodes tumor: review of key imaging characteristics.

Authors:  Michael Jonathan Plaza; Cara Swintelski; Hadi Yaziji; Manuel Torres-Salichs; Lisa E Esserman
Journal:  Breast Dis       Date:  2015

Review 2.  Giant recurrent phyllodes tumors of the breast: treatment dilemmas and literature review.

Authors:  Amir H Fathi; M Julieta Zutel; Natalie E Joseph
Journal:  Breast J       Date:  2014-01-09       Impact factor: 2.431

Review 3.  Phyllodes Tumor of the Breast: Histopathologic Features, Differential Diagnosis, and Molecular/Genetic Updates.

Authors:  Yanhong Zhang; Celina G Kleer
Journal:  Arch Pathol Lab Med       Date:  2016-07       Impact factor: 5.534

4.  Magnetic resonance imaging semantic and quantitative features analyses: an additional diagnostic tool for breast phyllodes tumors.

Authors:  Wenjuan Ma; Xinpeng Guo; Liangsheng Liu; Lisha Qi; Peifang Liu; Ying Zhu; Xiqi Jian; Guijun Xu; Xin Wang; Hong Lu; Chao Zhang
Journal:  Am J Transl Res       Date:  2020-05-15       Impact factor: 4.060

5.  Malignant and borderline phyllodes tumors of the breast: a multicenter study of 362 patients (KROG 16-08).

Authors:  Noorie Choi; Kyubo Kim; Kyung Hwan Shin; Yumi Kim; Hyeong-Gon Moon; Won Park; Doo Ho Choi; Su Ssan Kim; Seung Do Ahn; Tae Hyun Kim; Mison Chun; Yong Bae Kim; Suzy Kim; Byung Ock Choi; Jin Hee Kim
Journal:  Breast Cancer Res Treat       Date:  2018-05-28       Impact factor: 4.872

6.  Phyllodes tumor of the breast: correlation between MR findings and histologic grade.

Authors:  Hidetake Yabuuchi; Hiroyasu Soeda; Yoshio Matsuo; Takashi Okafuji; Takashi Eguchi; Shuji Sakai; Syoji Kuroki; Eriko Tokunaga; Shinji Ohno; Kenichi Nishiyama; Masamitsu Hatakenaka; Hiroshi Honda
Journal:  Radiology       Date:  2006-10-10       Impact factor: 11.105

7.  Malignant phyllodes tumors of the breast: A single institution experience.

Authors:  K W Liew; S Siti Zubaidah; L Doreen
Journal:  Med J Malaysia       Date:  2018-10

8.  Surgical Management of Benign and Borderline Phyllodes Tumors of the Breast.

Authors:  Amandine Moutte; Nicolas Chopin; Christelle Faure; Frédéric Beurrier; Christophe Ho Quoc; Florence Guinaudeau; Isabelle Treilleux; Nicolas Carrabin
Journal:  Breast J       Date:  2016-06-06       Impact factor: 2.431

Review 9.  Phyllodes tumours of the breast: a consensus review.

Authors:  Benjamin Y Tan; Geza Acs; Sophia K Apple; Sunil Badve; Ira J Bleiweiss; Edi Brogi; José P Calvo; David J Dabbs; Ian O Ellis; Vincenzo Eusebi; Gelareh Farshid; Stephen B Fox; Shu Ichihara; Sunil R Lakhani; Emad A Rakha; Jorge S Reis-Filho; Andrea L Richardson; Aysegul Sahin; Fernando C Schmitt; Stuart J Schnitt; Kalliopi P Siziopikou; Fernando A Soares; Gary M Tse; Anne Vincent-Salomon; Puay Hoon Tan
Journal:  Histopathology       Date:  2016-01       Impact factor: 5.087

10.  Expression of EMT markers and mode of surgery are prognostic in phyllodes tumors of the breast.

Authors:  Xiaolong Feng; Lin Zhao; Honghong Shen; Xiaozhen Liu; Yang Yang; Shuhua Lv; Yun Niu
Journal:  Oncotarget       Date:  2017-05-16
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.