» Articles » PMID: 28705168

Relevance of Breast MRI in Determining the Size and Focality of Invasive Breast Cancer Treated by Mastectomy: a Prospective Study

Overview
Publisher Biomed Central
Date 2017 Jul 15
PMID 28705168
Citations 5
Authors
Affiliations
Soon will be listed here.
Abstract

Background: The aim of this study was the evaluation of breast MRI in determining the size and focality of invasive non-metastatic breast cancers.

Methods: The prospective, single-centre study conducted in 2015 compared preoperative MRI with histological analysis of mastectomy.

Results: One hundred one mastectomies from 98 patients were extensively analysed. The rates of false-positive and false-negative MRI were 2 and 4% respectively. The sensitivity of breast MRI was 84.7% for the detection of all invasive foci, 69% for single foci and 65.7% for multiple foci. In the evaluation of tumour size, the Spearman rank correlation coefficient r between the sizes obtained by MRI and histology was 0.62. The MRI-based prediction of a complete response to neoadjuvant chemotherapy was 75%.

Discussion: MRI exhibits high sensitivity in the detection of invasive breast cancers. False positives were linked to the inflammatory nature of the tumour bed. False negatives were associated with small or low-grade tumours and their retro-areolar location. The size of T1 tumours was overestimated by an average of 7%, but MRI was the most efficient procedure. The sensitivity of MRI for the diagnosis of unifocal tumours was higher than that for multifocal sites. Our study confirmed the positive contribution of preoperative MRI for invasive lobular carcinomas and complete response predictions after neoadjuvant chemotherapy.

Citing Articles

Upgrade Rate of Ductal Carcinoma In Situ to Invasive Carcinoma and the Clinicopathological Factors Predicting the Upgrade Following a Mastectomy: A Retrospective Study.

Al-Ishaq Z, Hajiesmaeili H, Rahman E, Khosla M, Sircar T Cureus. 2023; 15(3):e35735.

PMID: 37016659 PMC: 10067020. DOI: 10.7759/cureus.35735.


Improving breast cancer diagnostics with deep learning for MRI.

Witowski J, Heacock L, Reig B, Kang S, Lewin A, Pysarenko K Sci Transl Med. 2022; 14(664):eabo4802.

PMID: 36170446 PMC: 10323699. DOI: 10.1126/scitranslmed.abo4802.


Revisit the practice of lymph node biopsy in patients diagnosed as ductal carcinoma in situ before operation: a retrospective analysis of 682 cases and evaluation of the role of breast MRI.

Lai H, Chang Y, Chen S, Chang Y, Wu W, Chen D World J Surg Oncol. 2021; 19(1):263.

PMID: 34470633 PMC: 8411510. DOI: 10.1186/s12957-021-02336-w.


Preoperative loco-regional staging of invasive lobular carcinoma with contrast-enhanced digital mammography (CEDM).

Amato F, Bicchierai G, Cirone D, Depretto C, di Naro F, Vanzi E Radiol Med. 2019; 124(12):1229-1237.

PMID: 31773458 DOI: 10.1007/s11547-019-01116-7.


Feasibility of mapping breast cancer with supine breast MRI in patients scheduled for oncoplastic surgery.

Joukainen S, Masarwah A, Kononen M, Husso M, Sutela A, Karja V Eur Radiol. 2018; 29(3):1435-1443.

PMID: 30120494 DOI: 10.1007/s00330-018-5681-y.

References
1.
Rudat V, Nour A, Almuraikhi N, Ghoniemy I, Brune-Erber I, Almasri N . MRI and Ultrasonography for assessing multifocal disease and tumor size in breast cancer: Comparison with histopathological results. Gulf J Oncolog. 2015; 1(17):65-72. View

2.
Sardanelli F, Giuseppetti G, Panizza P, Bazzocchi M, Fausto A, Simonetti G . Sensitivity of MRI versus mammography for detecting foci of multifocal, multicentric breast cancer in Fatty and dense breasts using the whole-breast pathologic examination as a gold standard. AJR Am J Roentgenol. 2004; 183(4):1149-57. DOI: 10.2214/ajr.183.4.1831149. View

3.
Mennella S, Garlaschi A, Paparo F, Perillo M, Celenza M, Massa T . Magnetic resonance imaging of breast cancer: factors affecting the accuracy of preoperative lesion sizing. Acta Radiol. 2014; 56(3):260-8. DOI: 10.1177/0284185114524089. View

4.
De Los Santos J, Cantor A, Amos K, Forero A, Golshan M, Horton J . Magnetic resonance imaging as a predictor of pathologic response in patients treated with neoadjuvant systemic treatment for operable breast cancer. Translational Breast Cancer Research Consortium trial 017. Cancer. 2013; 119(10):1776-83. PMC: 3939707. DOI: 10.1002/cncr.27995. View

5.
Peters N, van Esser S, van den Bosch M, Storm R, Plaisier P, van Dalen T . Preoperative MRI and surgical management in patients with nonpalpable breast cancer: the MONET - randomised controlled trial. Eur J Cancer. 2011; 47(6):879-86. DOI: 10.1016/j.ejca.2010.11.035. View