Literature DB >> 33263623

Comments on "Evaluation of the Accuracy of Mammography, Ultrasound and Magnetic Resonance Imaging in Suspect Breast Lesions".

Yongyu An1.   

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Year:  2020        PMID: 33263623      PMCID: PMC7654900          DOI: 10.6061/clinics/2020/e2338

Source DB:  PubMed          Journal:  Clinics (Sao Paulo)        ISSN: 1807-5932            Impact factor:   2.365


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Dear Editor: I read the article (1) “Evaluation of the accuracy of mammography, ultrasound and magnetic resonance imaging in suspect breast lesions” (Pereira et al.) with great interest; however, I am left confused by the study and believe some issues must be discussed. The aim of this study was to compare the diagnostic performance of three imaging methods for breast cancer (1). However, all patients showed a suspect breast lesion on evaluation by at least one of the methods. Based on the Breast Imaging-Reporting and Data System (BI-RADS), biopsy or surgical resection was recommended; however, the positive predictive value for BI-RADS categories 4 and 5 varies depending on the imaging modality. For instance, almost 90% of the suspect lesions detected by ultrasound eventually show negative results, leading to unnecessary biopsies (2). In this setting, the role of other imaging modalities is to evaluate whether a suspected lesion is truly malignant. Hence, magnetic resonance imaging (MRI) is the superior modality as it shows high sensitivity for breast cancer detection and has a high negative predictive value for the exclusion of malignancy (3-5), as shown in the study by Pereira at al. (1). Furthermore, several studies have suggested that MRI could be used as a problem-solving tool in cases of suspicious clinical and radiological findings (6-8). Finally, I do not agree with the statement that MRI has low specificity owing to high breast density. Breast density has a vital impact on the interpretation of mammography findings, but not on that of MRI findings. On dynamic contrast-enhanced MRI, both morphology and kinetics are key for the diagnosis of breast lesions, although there is considerable overlap between signs of benign and malignant lesions, resulting in false-positive findings. Several studies have revealed that diffusion-weighted imaging can improve the specificity of breast MRI and help avoid unnecessary biopsies (9,10). The specificity shown in this study was low (1); hence, I wonder whether diffusion-weighted imaging was integrated into breast MRI. I would be interested in receiving responses to my comments.
  10 in total

1.  Clinical Utility of Breast MRI in the Diagnosis of Malignancy After Inconclusive or Equivocal Mammographic Diagnostic Evaluation.

Authors:  Catherine S Giess; Sona A Chikarmane; Dorothy A Sippo; Robyn L Birdwell
Journal:  AJR Am J Roentgenol       Date:  2017-03-07       Impact factor: 3.959

2.  Quantitative DWI implemented after DCE-MRI yields increased specificity for BI-RADS 3 and 4 breast lesions.

Authors:  Hildebrand Dijkstra; Monique D Dorrius; Mirjam Wielema; Ruud M Pijnappel; Matthijs Oudkerk; Paul E Sijens
Journal:  J Magn Reson Imaging       Date:  2016-06-07       Impact factor: 4.813

3.  Detection of breast cancer with addition of annual screening ultrasound or a single screening MRI to mammography in women with elevated breast cancer risk.

Authors:  Wendie A Berg; Zheng Zhang; Daniel Lehrer; Roberta A Jong; Etta D Pisano; Richard G Barr; Marcela Böhm-Vélez; Mary C Mahoney; W Phil Evans; Linda H Larsen; Marilyn J Morton; Ellen B Mendelson; Dione M Farria; Jean B Cormack; Helga S Marques; Amanda Adams; Nolin M Yeh; Glenna Gabrielli
Journal:  JAMA       Date:  2012-04-04       Impact factor: 56.272

4.  Assessment of BI-RADS category 4 lesions detected with screening mammography and screening US: utility of MR imaging.

Authors:  Kevin Strobel; Simone Schrading; Nienke L Hansen; Alexandra Barabasch; Christiane K Kuhl
Journal:  Radiology       Date:  2014-09-29       Impact factor: 11.105

5.  Breast MRI used as a problem-solving tool reliably excludes malignancy.

Authors:  Claudio Spick; Dieter H M Szolar; Klaus W Preidler; Manfred Tillich; Pia Reittner; Pascal A Baltzer
Journal:  Eur J Radiol       Date:  2014-10-19       Impact factor: 3.528

6.  Utility of Diffusion-weighted Imaging to Decrease Unnecessary Biopsies Prompted by Breast MRI: A Trial of the ECOG-ACRIN Cancer Research Group (A6702).

Authors:  Habib Rahbar; Zheng Zhang; Thomas L Chenevert; Justin Romanoff; Averi E Kitsch; Lucy G Hanna; Sara M Harvey; Linda Moy; Wendy B DeMartini; Basak Dogan; Wei T Yang; Lilian C Wang; Bonnie N Joe; Karen Y Oh; Colleen H Neal; Elizabeth S McDonald; Mitchell D Schnall; Constance D Lehman; Christopher E Comstock; Savannah C Partridge
Journal:  Clin Cancer Res       Date:  2019-01-15       Impact factor: 12.531

7.  Evaluation of the accuracy of mammography, ultrasound and magnetic resonance imaging in suspect breast lesions.

Authors:  Renato de Oliveira Pereira; Larissa Almondes da Luz; Diego Cipriano Chagas; Jefferson Rodrigues Amorim; Elmo de Jesus Nery-Júnior; Araci Castelo Branco Rodrigues Alves; Flávio Teixeira de Abreu-Neto; Maria da Conceição Barros Oliveira; Danylo Rafhael Costa Silva; José Maria Soares-Júnior; Benedito Borges da Silva
Journal:  Clinics (Sao Paulo)       Date:  2020-07-22       Impact factor: 2.365

Review 8.  Breast MRI: EUSOBI recommendations for women's information.

Authors:  Ritse M Mann; Corinne Balleyguier; Pascal A Baltzer; Ulrich Bick; Catherine Colin; Eleanor Cornford; Andrew Evans; Eva Fallenberg; Gabor Forrai; Michael H Fuchsjäger; Fiona J Gilbert; Thomas H Helbich; Sylvia H Heywang-Köbrunner; Julia Camps-Herrero; Christiane K Kuhl; Laura Martincich; Federica Pediconi; Pietro Panizza; Luis J Pina; Ruud M Pijnappel; Katja Pinker-Domenig; Per Skaane; Francesco Sardanelli
Journal:  Eur Radiol       Date:  2015-05-23       Impact factor: 5.315

Review 9.  Diagnostic Performance of Breast Magnetic Resonance Imaging in Non-Calcified Equivocal Breast Findings: Results from a Systematic Review and Meta-Analysis.

Authors:  Barbara Bennani-Baiti; Nabila Bennani-Baiti; Pascal A Baltzer
Journal:  PLoS One       Date:  2016-08-02       Impact factor: 3.240

10.  3 Tesla breast MR imaging as a problem-solving tool: Diagnostic performance and incidental lesions.

Authors:  Claudio Spick; Dieter H M Szolar; Klaus W Preidler; Pia Reittner; Katharina Rauch; Peter Brader; Manfred Tillich; Pascal A Baltzer
Journal:  PLoS One       Date:  2018-01-02       Impact factor: 3.240

  10 in total
  1 in total

1.  Authors' Reply "Comments: Evaluation of the accuracy of mammography, ultrasound, and magnetic resonance imaging in suspect breast lesions".

Authors:  Renato de Oliveira Pereira; Larissa Almondes da Luz; Diego Cipriano Chagas; Jefferson Rodrigues Amorim; Elmo de Jesus Nery-Junior; Araci Castelo Branco Rodrigues Alves; Flávio Teixeira de Abreu-Neto; Maria da Conceicão Barros Oliveira; Danylo Rafhael Costa Silva; José Maria Soares-Júnior; Benedito Borges da Silva
Journal:  Clinics (Sao Paulo)       Date:  2021-06-14       Impact factor: 2.365

  1 in total

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