Literature DB >> 28425758

Agreement between MRI and pathologic analyses for determination of tumor size and correlation with immunohistochemical factors of invasive breast carcinoma.

Eun Young Yoo1, Sang Yu Nam1, Hye-Young Choi1, Min Ji Hong1.   

Abstract

Background There may be discordance between tumor size determined by magnetic resonance imaging (MRI) and that observed during pathologic analyses. Purpose To evaluate MRI-pathology concordance of tumor size in patients with invasive breast carcinoma. Material and Methods Data from 307 invasive breast carcinomas were analyzed retrospectively. Preoperative breast MRI was reviewed for size, lesion type, morphology, and dynamic contrast-enhanced tumor kinetics. MRI tumor size was compared with tumor size measurements from the pathologic analysis. Concordance was defined as a difference in diameter of ≤ 0.5 cm. MRI-pathology concordance was compared according to clinical and histopathologic features. Results The mean tumor size on MRI was 2.48 ± 1.41 cm. Tumor measurements determined by MRI were not significantly different from those recorded in the pathologic reports (2.56 ± 1.61 cm, P = 0.199). MRI-pathology concordance was found in 229/307 (74.6%) cases; the size was overestimated in 36 (11.7%) tumors and underestimated in 42 (13.7%). On univariate analysis, MRI-pathology discordance was associated with larger tumor size ( P < 0.001), estrogen receptor (ER) negativity ( P = 0.006), and lymphovascular invasion ( P = 0.003). Human epidermal growth factor receptor 2 positive molecular subtype showed worse correlation between the tumor size measured by MRI and pathology compared with luminal A and luminal B subtypes ( P = 0.008 and 0.007). On multivariate analysis, tumor size and ER status significantly influenced MRI-pathology concordance ( P < 0.05). Conclusion ER negativity and larger tumor size were strongly associated with MRI-pathology discordance in invasive breast carcinomas. Awareness of these factors might improve surgical planning.

Entities:  

Keywords:  Breast neoplasm; immunohistochemistry; magnetic resonance imaging (MRI); pathology; tumor burden

Mesh:

Year:  2017        PMID: 28425758     DOI: 10.1177/0284185117705010

Source DB:  PubMed          Journal:  Acta Radiol        ISSN: 0284-1851            Impact factor:   1.990


  9 in total

1.  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

2.  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

3.  Factors affecting the concordance of radiologic and pathologic tumor size in breast carcinoma.

Authors:  Ameer Hamza; Sidrah Khawar; Ramen Sakhi; Ahmed Alrajjal; Shelby Miller; Warda Ibrar; Jacob Edens; Sajad Salehi; Daniel Ockner
Journal:  Ultrasound       Date:  2018-10-23

4.  Measuring Tumor Extent Based on Subtypes Using Magnetic Resonance Imaging: Radiologic-Pathologic Discordance and High Positive Margin Rates in Breast Cancer.

Authors:  Soong June Bae; Sung Gwe Ahn; Chang Ik Yoon; Ban Seok Yang; Hak Woo Lee; Eun Ju Son; Joon Jeong
Journal:  J Breast Cancer       Date:  2019-08-21       Impact factor: 3.588

5.  Evaluation of Breast Cancer Size Measurement by Computer-Aided Diagnosis (CAD) and a Radiologist on Breast MRI.

Authors:  Ji Yeon Park
Journal:  J Clin Med       Date:  2022-02-22       Impact factor: 4.241

6.  Impact of preoperative magnetic resonance imaging on surgery and eligibility for intraoperative radiotherapy in early breast cancer.

Authors:  Wai Yee Chan; Wai Keong Cheah; Marlina Tanty Ramli Hamid; Mohammad Nazri Md Shah; Farhana Fadzli; Shaleen Kaur; Mee Hoong See; Nur Aishah Mohd Taib; Kartini Rahmat
Journal:  PLoS One       Date:  2022-10-18       Impact factor: 3.752

Review 7.  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

8.  Agreement between dynamic contrast-enhanced magnetic resonance imaging and pathologic tumour size of breast cancer and analysis of the correlation with BI-RADS descriptors.

Authors:  Aysegul Akdogan Gemici; Ercan Inci
Journal:  Pol J Radiol       Date:  2019-12-27

9.  Accuracy of tumor size measurement on shear wave elastography (SWE): Correlation with histopathologic factors of invasive breast cancer.

Authors:  Kyung Hee Ko; Hae Kyoung Jung; Ah Young Park; Ji Eun Koh; Hyunkyung Jang; Yunju Kim
Journal:  Medicine (Baltimore)       Date:  2020-10-30       Impact factor: 1.817

  9 in total

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