Literature DB >> 30152744

Dynamic Contrast-enhanced Breast MRI for Evaluating Residual Tumor Size after Neoadjuvant Chemotherapy.

Soo-Yeon Kim1, Nariya Cho1, In-Ae Park1, Bo Ra Kwon1, Sung Ui Shin1, Soo Yeon Kim1, Su Hyun Lee1, Jung Min Chang1, Woo Kyung Moon1.   

Abstract

Purpose To investigate the accuracy of dynamic contrast material-enhanced (DCE) breast MRI for determining residual tumor size after neoadjuvant chemotherapy (NAC). Materials and Methods For this retrospective study, 487 consecutive women (mean age, 47.0 years ± 10.3 [standard deviation]; range, 24-78 years) underwent preoperative DCE MRI following NAC and subsequent surgeries between 2008 and 2011. Tumor size was measured at early-phase, conventional delayed-phase, and late delayed-phase MRI (90, 360, and 590 seconds after contrast material injection, respectively). At histopathologic examination, total tumor size (both invasive and in situ) and the size of invasive tumor alone were separately recorded. Absolute agreement between tumor size at MRI and histopathologic examination was assessed by using intraclass correlation coefficient (ICC) analysis. Factors affecting size discrepancy were assessed by using multiple linear regression analysis. Results Compared with tumor size at histopathologic examination, total tumor sizes showed higher agreement at conventional delayed-phase MRI than at early-phase MRI (ICC, 0.76 vs 0.56; P ˂ .001) and comparable agreement at conventional and late delayed-phase MRI (ICC, 0.76 vs 0.74; P = .55). Lobular histologic features and tumor subtype were independently associated with greater size discrepancy (P ˂ .001). Lobular cancers were underestimated in size compared with ductal cancers (mean size discrepancy, -2.8 cm ± 3.2 vs -0.3 cm ± 1.8; P = .004). Estrogen receptor-positive/human epidermal growth factor receptor 2 (HER2)-negative cancers were underestimated compared with HER2-positive cancers (-0.8 cm ± 2.0 vs -0.3 cm ± 1.7, P = .006) and triple-negative cancers (-0.8 cm ± 2.0 vs 0.3 cm ± 1.7, P ˂ .001). Conclusion Delayed-phase MRI is more accurate than early-phase MRI for evaluating residual breast tumor size after neoadjuvant chemotherapy. Lobular or estrogen receptor-positive/human epidermal growth factor receptor 2-negative cancers are underestimated in size at MRI compared with ductal or other subtypes. © RSNA, 2018 Online supplemental material is available for this article.

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Year:  2018        PMID: 30152744     DOI: 10.1148/radiol.2018172868

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  13 in total

1.  Residual Disease after Neoadjuvant Therapy for Breast Cancer: Can MRI Help?

Authors:  Nola M Hylton
Journal:  Radiology       Date:  2018-08-28       Impact factor: 11.105

Review 2.  Abbreviated MR Imaging for Breast Cancer.

Authors:  Laura Heacock; Alana A Lewin; Hildegard K Toth; Linda Moy; Beatriu Reig
Journal:  Radiol Clin North Am       Date:  2020-11-02       Impact factor: 2.303

3.  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

4.  Development and validation of a nomogram based on pretreatment dynamic contrast-enhanced MRI for the prediction of pathologic response after neoadjuvant chemotherapy for triple-negative breast cancer.

Authors:  Yanbo Li; Yongzi Chen; Rui Zhao; Yu Ji; Junnan Li; Ying Zhang; Hong Lu
Journal:  Eur Radiol       Date:  2021-11-12       Impact factor: 7.034

5.  Ultrafast Dynamic Contrast-Enhanced Breast MRI: Lesion Conspicuity and Size Assessment according to Background Parenchymal Enhancement.

Authors:  Soo Yeon Kim; Nariya Cho; Yunhee Choi; Sung Ui Shin; Eun Sil Kim; Su Hyun Lee; Jung Min Chang; Woo Kyung Moon
Journal:  Korean J Radiol       Date:  2020-05       Impact factor: 3.500

6.  Harmonization of Quantitative Parenchymal Enhancement in T1 -Weighted Breast MRI.

Authors:  Bas H M van der Velden; Michael J van Rijssel; Beatrice Lena; Marielle E P Philippens; Claudette E Loo; Max A A Ragusi; Sjoerd G Elias; Elizabeth J Sutton; Elizabeth A Morris; Lambertus W Bartels; Kenneth G A Gilhuijs
Journal:  J Magn Reson Imaging       Date:  2020-06-03       Impact factor: 4.813

7.  Criteria for identifying residual tumours after neoadjuvant chemotherapy of breast cancers: a magnetic resonance imaging study.

Authors:  Yunju Kim; Sung Hoon Sim; Boram Park; In Hye Chae; Jai Hong Han; So-Youn Jung; Seeyoun Lee; Youngmi Kwon; In Hae Park; Kyounglan Ko; Chan Wha Lee; Keun Seok Lee; Han-Sung Kang; Eun Sook Lee
Journal:  Sci Rep       Date:  2021-01-12       Impact factor: 4.379

8.  Radiomics of Tumor Heterogeneity in Longitudinal Dynamic Contrast-Enhanced Magnetic Resonance Imaging for Predicting Response to Neoadjuvant Chemotherapy in Breast Cancer.

Authors:  Ming Fan; Hang Chen; Chao You; Li Liu; Yajia Gu; Weijun Peng; Xin Gao; Lihua Li
Journal:  Front Mol Biosci       Date:  2021-03-22

9.  Correcting time-intensity curves in dynamic contrast-enhanced breast MRI for inhomogeneous excitation fields at 7T.

Authors:  Michael J van Rijssel; Josien P W Pluim; Hui-Shan M Chan; Lieke van den Wildenberg; Alexander M Th Schmitz; Peter R Luijten; Kenneth G A Gilhuijs; Dennis W J Klomp
Journal:  Magn Reson Med       Date:  2019-12-27       Impact factor: 4.668

Review 10.  Current Landscape of Breast Cancer Imaging and Potential Quantitative Imaging Markers of Response in ER-Positive Breast Cancers Treated with Neoadjuvant Therapy.

Authors:  Ella F Jones; Deep K Hathi; Rita Freimanis; Rita A Mukhtar; A Jo Chien; Laura J Esserman; Laura J Van't Veer; Bonnie N Joe; Nola M Hylton
Journal:  Cancers (Basel)       Date:  2020-06-09       Impact factor: 6.575

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