Literature DB >> 25707494

Comparison of the Diagnostic Accuracy of Magnetic Resonance Imaging with Sonography in the Prediction of Breast Cancer Tumor Size: A Concordance Analysis with Histopathologically Determined Tumor Size.

Hung-Wen Lai1,2,3,4, Dar-Ren Chen1,2,3, Yao-Chung Wu2,3, Chih-Jung Chen5,6,7, Chih-Wei Lee8, Shou-Jen Kuo2,3, Shou-Tung Chen9,10, Hwa-Koon Wu11.   

Abstract

BACKGROUND: In order to effectively treat patients with breast cancer, it is important to know the precise tumor size. We compared the rates of concordance of magnetic resonance imaging (MRI)-derived and sonography-derived breast cancer tumor size with histopathologically determined tumor size.
METHODS: Accuracy of MRI and sonography in establishing tumor size was evaluated by comparing preoperative images with postoperative pathologic findings. The accuracy of MRI and sonography was graded as concordance, underestimation, or overestimation and was compared in different subgroups.
RESULTS: A total of 682 patients comprised the study cohort. Mean tumor size was 3.64 ± 1.8 cm via MRI, 2.12 ± 1.0 cm via sonography, and 2.78 ± 1.7 cm via pathologic examination. The difference between breast sonography and MRI to pathologic tumor field size was -0.68 ± 1.4, and 0.85 ± 1.25 cm, respectively (P < 0.001). Sonography had a concordance rate of 54.3 %, an overestimated rate of 9.8 %, and an underestimated rate of 35.9 %. For MRI, the concordance rate was 44.1 %, the overestimated rate was 52.5 %, and the underestimated rate was 3.4 %. In subgroup analysis, breast MRI had a higher concordance rate in patients with T3 (>5 cm) lesions. When the results of MRI and sonography were considered together, the concordance rate increased from 54.3 to 62.2 %.
CONCLUSION: MRI tends to overestimate the actual tumor size, while sonography frequently underestimates it. Combined sonography and MRI increases the accuracy of tumor size prediction.

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Year:  2015        PMID: 25707494     DOI: 10.1245/s10434-015-4424-4

Source DB:  PubMed          Journal:  Ann Surg Oncol        ISSN: 1068-9265            Impact factor:   5.344


  20 in total

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

Authors:  S Joukainen; A Masarwah; M Könönen; M Husso; A Sutela; V Kärjä; R Vanninen; M Sudah
Journal:  Eur Radiol       Date:  2018-08-17       Impact factor: 5.315

2.  Diagnostic performance of contrast-enhanced dual-energy spectral mammography (CESM): a retrospective study involving 644 breast lesions.

Authors:  María Del Mar Travieso-Aja; Daniel Maldonado-Saluzzi; Pedro Naranjo-Santana; Claudia Fernández-Ruiz; Wilsa Severino-Rondón; Mario Rodríguez Rodríguez; Víctor Vega Benítez; Octavio Pérez-Luzardo
Journal:  Radiol Med       Date:  2019-06-27       Impact factor: 3.469

3.  Oncological Safety and Technical Feasibility of Nipple-Sparing Mastectomy for Breast Cancer: The Hong Kong Experience.

Authors:  Yolanda Ho-Yan Chan; Wai-Ming Yau; Polly Suk-Yee Cheung
Journal:  World J Surg       Date:  2018-05       Impact factor: 3.352

4.  Intraoperative micro-computed tomography (micro-CT): a novel method for determination of primary tumour dimensions in breast cancer specimens.

Authors:  Rong Tang; Mansi Saksena; Suzanne B Coopey; Leopoldo Fernandez; Julliette M Buckley; Lan Lei; Owen Aftreth; Frederick Koerner; James Michaelson; Elizabeth Rafferty; Elena Brachtel; Barbara L Smith
Journal:  Br J Radiol       Date:  2015-11-16       Impact factor: 3.039

5.  Automated breast volume scanner (ABVS) in assessing breast cancer size: A comparison with conventional ultrasound and magnetic resonance imaging.

Authors:  Rossano Girometti; Martina Zanotel; Viviana Londero; Anna Linda; Michele Lorenzon; Chiara Zuiani
Journal:  Eur Radiol       Date:  2017-10-10       Impact factor: 5.315

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.  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

8.  Factors influencing the performance of a diagnostic model including contrast-enhanced ultrasound in 1023 breast lesions: comparison with histopathology.

Authors:  Yijie Chen; Lina Tang; Zhongshi Du; Zhaoming Zhong; Jun Luo; Lichun Yang; Ruoxia Shen; Yan Cheng; Zizhen Zhang; Ehui Han; Zhihong Lv; Lijun Yuan; Yong Yang; Yinrong Cheng; Lei Yang; Shengli Wang; Baoyan Bai; Qin Chen
Journal:  Ann Transl Med       Date:  2019-11

9.  Accurate Estimation of Breast Tumor Size: A Comparison Between Ultrasonography, Mammography, Magnetic Resonance Imaging, and Associated Contributing Factors.

Authors:  Shilan Azhdeh; Ahmad Kaviani; Nahid Sadighi; Maryam Rahmani
Journal:  Eur J Breast Health       Date:  2020-12-24

10.  Accuracy of Preoperative Breast MRI Versus Conventional Imaging in Measuring Pathologic Extent of Invasive Lobular Carcinoma.

Authors:  Keegan K Hovis; Janie M Lee; Daniel S Hippe; Hannah Linden; Meghan R Flanagan; Mark R Kilgore; Janis Yee; Savannah C Partridge; Habib Rahbar
Journal:  J Breast Imaging       Date:  2021-04-29
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