Literature DB >> 26929290

Tumor Size of Invasive Breast Cancer on Magnetic Resonance Imaging and Conventional Imaging (Mammogram/Ultrasound): Comparison with Pathological Size and Clinical Implications.

K H Haraldsdóttir1,2, Þ Jónsson1, A B Halldórsdóttir3, K-G Tranberg2, K S Ásgeirsson1.   

Abstract

BACKGROUND AND AIM: In Landspitali University Hospital, magnetic resonance imaging is used non-selectively in addition to mammogram and ultrasound in the preoperative assessment of breast cancer patients. The aim of this study was to assess invasive tumor size on imaging, compare with pathological size and evaluate the impact of magnetic resonance imaging on the type of surgery performed.
MATERIAL AND METHODS: All women with invasive breast cancer, diagnosed in Iceland, between 2007 and 2009 were reviewed retrospectively. In all, 438 of 641 (68%) patients diagnosed had preoperative magnetic resonance imaging. Twelve patients treated with neoadjuvant chemotherapy were excluded and 65 patients with multifocal or contralateral disease were assessed separately.
RESULTS: Correlations between microscopic and radiologic tumor sizes were relatively weak. All imaging methods were inaccurate especially for large tumors, resulting in an overall underestimation of tumor size for these tumors. Magnetic resonance imaging under- and overestimated pathological tumor size by more than 10 mm in 16/348 (4.6%) and 26/348 patients (7.5%), respectively. In 19 patients (73%), overestimation of size was seen exclusively on magnetic resonance imaging. For tumors under- or overestimated by magnetic resonance imaging, the mastectomy rates were 56% and 65%, respectively, compared to an overall mastectomy rate of 43%. Of 51 patients diagnosed with multifocal disease on pathology, 19 (37%) were diagnosed by mammogram or ultrasound and 40 (78%) by magnetic resonance imaging resulting in a total detection rate of 84% (43 patients). Fourteen (3%) patients were diagnosed preoperatively with contralateral disease. Of those tumors, all were detected on magnetic resonance imaging but seven (50%) were also detected on mammogram or ultrasound or both.
CONCLUSION: Our results suggest that routine use of magnetic resonance imaging may result in both under- and overestimation of tumor size and increase mastectomy rates in a small proportion of patients. Magnetic resonance imaging aids in the diagnosis of contralateral and multifocal disease.

Entities:  

Keywords:  Breast cancer; breast conservation surgery; magnetic resonance imaging; mastectomy; oncoplastic surgery; tumor size

Mesh:

Year:  2016        PMID: 26929290     DOI: 10.1177/1457496916631855

Source DB:  PubMed          Journal:  Scand J Surg        ISSN: 1457-4969            Impact factor:   2.360


  10 in total

1.  Unifocal Invasive Lobular Carcinoma: Tumor Size Concordance Between Preoperative Ultrasound Imaging and Postoperative Pathology.

Authors:  Gopal R Vijayaraghavan; Srinivasan Vedantham; Gabriela Santos-Nunez; Rebecca Hultman
Journal:  Clin Breast Cancer       Date:  2018-07-27       Impact factor: 3.225

2.  Prediction of tumor size in patients with invasive ductal carcinoma using FT-IR spectroscopy combined with chemometrics: a preliminary study.

Authors:  Zhimin Zhu; Chen Chen; Cheng Chen; Ziwei Yan; Fangfang Chen; Bo Yang; Huiting Zhang; Huijie Han; Xiaoyi Lv
Journal:  Anal Bioanal Chem       Date:  2021-03-22       Impact factor: 4.142

3.  Additional Workups Recommended During Preoperative Breast MRI: Methods to Gain Efficiency and Limit Confusion.

Authors:  Santo Maimone; Andrey P Morozov; Zhuo Li; Emily C Craver; Erin A Elder; Sarah A McLaughlin
Journal:  Ann Surg Oncol       Date:  2022-03-08       Impact factor: 5.344

4.  Tumor size estimation of the breast cancer molecular subtypes using imaging techniques.

Authors:  Gulten Sezgın; Melda Apaydın; Demet Etıt; Murat Kemal Atahan
Journal:  Med Pharm Rep       Date:  2020-07-22

5.  Preoperative Imaging Overestimates the Tumor Size in Pancreatic Neuroendocrine Neoplasms Associated with Multiple Endocrine Neoplasia Type 1.

Authors:  V Polenta; E P Slater; P H Kann; M B Albers; J Manoharan; A Ramaswamy; A H Mahnken; D K Bartsch
Journal:  World J Surg       Date:  2018-05       Impact factor: 3.352

6.  Contrast enhanced digital mammography versus magnetic resonance imaging for accurate measurement of the size of breast cancer.

Authors:  Inyoung Youn; SeonHyeong Choi; Yoon Jung Choi; Ju Hee Moon; Hee Jin Park; Soo-Youn Ham; Chan Heun Park; Eun Young Kim; Shin Ho Kook
Journal:  Br J Radiol       Date:  2019-04-24       Impact factor: 3.039

7.  Relevance of breast MRI in determining the size and focality of invasive breast cancer treated by mastectomy: a prospective study.

Authors:  Anne-Julie Carin; Sébastien Molière; Victor Gabriele; Massimo Lodi; Nicolas Thiébaut; Karl Neuberger; Carole Mathelin
Journal:  World J Surg Oncol       Date:  2017-07-14       Impact factor: 2.754

8.  Magnetic resonance imaging and ultrasound for prediction of residual tumor size in early breast cancer within the ADAPT subtrials.

Authors:  Monika Graeser; Simone Schrading; Oleg Gluz; Kevin Strobel; Christopher Herzog; Lale Umutlu; Alex Frydrychowicz; Dorothea Rjosk-Dendorfer; Rachel Würstlein; Ralph Culemann; Christine Eulenburg; Jascha Adams; Henrik Nitzsche; Anna Prange; Sherko Kümmel; Eva-Maria Grischke; Helmut Forstbauer; Michael Braun; Jochem Potenberg; Raquel von Schumann; Bahriye Aktas; Cornelia Kolberg-Liedtke; Nadia Harbeck; Christiane K Kuhl; Ulrike Nitz
Journal:  Breast Cancer Res       Date:  2021-03-18       Impact factor: 6.466

Review 9.  A Narrative Review of Ultrasound Technologies for the Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer.

Authors:  Jing Wang; Yanhua Chu; Baohua Wang; Tianan Jiang
Journal:  Cancer Manag Res       Date:  2021-10-14       Impact factor: 3.989

Review 10.  Does preoperative MRI accurately stratify early-stage HER2 + breast cancer patients to upfront surgery vs neoadjuvant chemotherapy?

Authors:  Astrid Botty van den Bruele; Emanuela Ferraro; Varadan Sevilimedu; Molly P Hogan; Sidra Javed-Tayyab; Tiana Le; Monica N Fornier; Monica Morrow; Virgilio Sacchini
Journal:  Breast Cancer Res Treat       Date:  2021-07-14       Impact factor: 4.624

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.