Literature DB >> 27114285

Incidentally detected enhancing lesions found in breast MRI: analysis of apparent diffusion coefficient and T2 signal intensity significantly improves specificity.

Otso Arponen1,2, Amro Masarwah3,4, Anna Sutela3, Mikko Taina3,4, Mervi Könönen3, Reijo Sironen5,6,7, Juhana Hakumäki3, Ritva Vanninen3,4,7, Mazen Sudah3.   

Abstract

OBJECTIVES: To evaluate the value of adding T2- and diffusion-weighted imaging (DWI) to the BI-RADS® classification in MRI-detected lesions.
METHODS: This retrospective study included 112 consecutive patients who underwent 3.0T structural breast MRI with T2- and DWI on the basis of EUSOMA recommendations. Morphological and kinetic features, T2 signal intensity (T2 SI) and apparent diffusion coefficient (ADC) findings were assessed.
RESULTS: Thirty-three (29.5 %) patients (mean age 57.0 ± 12.7 years) had 36 primarily MRI-detected incidental lesions of which 16 (44.4 %) proved to be malignant. No single morphological or kinetic feature was associated with malignancy. Both low T2 SI (P = 0.009) and low ADC values (≤0.87 × 10-3 mm2s-1, P < 0.001) yielded high specificity (80.0 %/80.0 %). The BI-RADS classification supplemented with information from DWI and T2-WI improved the diagnostic performance of the BI-RADS classification as sensitivity remained 100 % and specificity improved from 30 % to 65.0 %. The numbers of false positive lesions declined from 39 % (N = 14) to 19 % (N = 7).
CONCLUSION: MRI-detected incidental lesions may be challenging to characterize as they have few specific malignancy indicating features. The specificity of MRI can be improved by incorporating T2 SI and ADC values into the BI-RADS assessment. KEY POINTS: • MRI-detected incidental lesions have few specific malignancy indicating features. • ≥ 1 suspicious morphologic or kinetic feature may warrant biopsy. • T2 signal intensity and DWI assessment are feasible in primarily MRI-detected lesions. • T2 SI and DWI assessment improve the BI-RADS specificity in MRI-detected lesions.

Entities:  

Keywords:  Breast cancer; DWI; Incidental MRI-detected lesions; Magnetic resonance imaging; T2

Mesh:

Substances:

Year:  2016        PMID: 27114285     DOI: 10.1007/s00330-016-4326-2

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  41 in total

1.  Is there a systematic bias of apparent diffusion coefficient (ADC) measurements of the breast if measured on different workstations? An inter- and intra-reader agreement study.

Authors:  Paola Clauser; Magda Marcon; Marta Maieron; Chiara Zuiani; Massimo Bazzocchi; Pascal A T Baltzer
Journal:  Eur Radiol       Date:  2015-10-07       Impact factor: 5.315

2.  MARIBS study.

Authors:  Madeleine M Tilanus-Linthorst; Inge-Marie Obdeijn; Karina C M Bartels
Journal:  Lancet       Date:  2005 Jul 23-29       Impact factor: 79.321

3.  Sensitivity and specificity of unenhanced MR mammography (DWI combined with T2-weighted TSE imaging, ueMRM) for the differentiation of mass lesions.

Authors:  Pascal A T Baltzer; Matthias Benndorf; Matthias Dietzel; Mieczyslaw Gajda; Oumar Camara; Werner A Kaiser
Journal:  Eur Radiol       Date:  2009-11-20       Impact factor: 5.315

4.  Nonmass lesions in magnetic resonance imaging of the breast: additional T2-weighted images improve diagnostic accuracy.

Authors:  Pascal A T Baltzer; Matthias Dietzel; Werner A Kaiser
Journal:  J Comput Assist Tomogr       Date:  2011 May-Jun       Impact factor: 1.826

5.  Apparent diffusion coefficient values for discriminating benign and malignant breast MRI lesions: effects of lesion type and size.

Authors:  Savannah C Partridge; Christiane D Mullins; Brenda F Kurland; Michael D Allain; Wendy B DeMartini; Peter R Eby; Constance D Lehman
Journal:  AJR Am J Roentgenol       Date:  2010-06       Impact factor: 3.959

6.  Preoperative MRI and surgical management in patients with nonpalpable breast cancer: the MONET - randomised controlled trial.

Authors:  N H G M Peters; S van Esser; M A A J van den Bosch; R K Storm; P W Plaisier; T van Dalen; S C E Diepstraten; T Weits; P J Westenend; G Stapper; M A Fernandez-Gallardo; I H M Borel Rinkes; R van Hillegersberg; W P Th M Mali; P H M Peeters
Journal:  Eur J Cancer       Date:  2010-12-30       Impact factor: 9.162

7.  Classification of hypervascularized lesions in CE MR imaging of the breast.

Authors:  F Baum; U Fischer; R Vosshenrich; E Grabbe
Journal:  Eur Radiol       Date:  2002-02-02       Impact factor: 5.315

8.  Who may benefit from preoperative breast MRI? A single-center analysis of 1102 consecutive patients with primary breast cancer.

Authors:  Manuel Debald; Alina Abramian; Lisa Nemes; Michael Döbler; Christina Kaiser; Mignon-Denise Keyver-Paik; Claudia Leutner; Tobias Höller; Michael Braun; Christiane Kuhl; Walther Kuhn; Hans H Schild
Journal:  Breast Cancer Res Treat       Date:  2015-09-01       Impact factor: 4.872

9.  MR-directed ("Second-Look") ultrasound examination for breast lesions detected initially on MRI: MR and sonographic findings.

Authors:  Hiroyuki Abe; Robert A Schmidt; Rajshri N Shah; Akiko Shimauchi; Kirti Kulkarni; Charlene A Sennett; Gillian M Newstead
Journal:  AJR Am J Roentgenol       Date:  2010-02       Impact factor: 3.959

10.  Positive predictive value of BI-RADS MR imaging.

Authors:  Mary C Mahoney; Constantine Gatsonis; Lucy Hanna; Wendy B DeMartini; Constance Lehman
Journal:  Radiology       Date:  2012-05-15       Impact factor: 11.105

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  11 in total

1.  Added value of mean and entropy of apparent diffusion coefficient values for evaluating histologic phenotypes of invasive ductal breast cancer with MR imaging.

Authors:  Shiteng Suo; Dandan Zhang; Fang Cheng; Mengqiu Cao; Jia Hua; Jinsong Lu; Jianrong Xu
Journal:  Eur Radiol       Date:  2018-08-16       Impact factor: 5.315

2.  Quantitative Volumetric K-Means Cluster Segmentation of Fibroglandular Tissue and Skin in Breast MRI.

Authors:  Anton Niukkanen; Otso Arponen; Aki Nykänen; Amro Masarwah; Anna Sutela; Timo Liimatainen; Ritva Vanninen; Mazen Sudah
Journal:  J Digit Imaging       Date:  2018-08       Impact factor: 4.056

3.  Preoperative predicting malignancy in breast mass-like lesions: value of adding histogram analysis of apparent diffusion coefficient maps to dynamic contrast-enhanced magnetic resonance imaging for improving confidence level.

Authors:  Hong-Li Liu; Min Zong; Han Wei; Jian-Juan Lou; Si-Qi Wang; Qi-Gui Zou; Hai-Bin Shi; Yan-Ni Jiang
Journal:  Br J Radiol       Date:  2017-09-06       Impact factor: 3.039

4.  Association of Retrospective Peer Review and Positive Predictive Value of Magnetic Resonance Imaging-Guided Vacuum-Assisted Needle Biopsies of Breast.

Authors:  Ceren Yalnız; Juliana Rosenblat; David Spak; Wei Wei; Marion Scoggins; Carisa Le-Petross; Mark J Dryden; Beatriz Adrada; Başak E Doğan
Journal:  Eur J Breast Health       Date:  2019-10-01

5.  Gadoterate meglumine decreases ADC values of breast lesions depending on the b value combination.

Authors:  Otso Arponen; Mazen Sudah; Anna Sutela; Mikko Taina; Amro Masarwah; Timo Liimatainen; Ritva Vanninen
Journal:  Sci Rep       Date:  2018-01-08       Impact factor: 4.379

6.  Added value of histogram analysis of apparent diffusion coefficient maps for differentiating triple-negative breast cancer from other subtypes of breast cancer on standard MRI.

Authors:  Hong-Li Liu; Min Zong; Han Wei; Cong Wang; Jian-Juan Lou; Si-Qi Wang; Qi-Gui Zou; Yan-Ni Jiang
Journal:  Cancer Manag Res       Date:  2019-09-06       Impact factor: 3.989

7.  Peritumoral ADC values in breast cancer: region of interest selection, associations with hyaluronan intensity, and prognostic significance.

Authors:  Tiia Kettunen; Hidemi Okuma; Päivi Auvinen; Mazen Sudah; Satu Tiainen; Anna Sutela; Amro Masarwah; Markku Tammi; Raija Tammi; Sanna Oikari; Ritva Vanninen
Journal:  Eur Radiol       Date:  2019-07-29       Impact factor: 5.315

8.  Radiologic-pathologic correlation in breast cancer: do MRI biomarkers correlate with pathologic features and molecular subtypes?

Authors:  Francesca Galati; Veronica Rizzo; Giuliana Moffa; Claudia Caramanico; Endi Kripa; Bruna Cerbelli; Giulia D'Amati; Federica Pediconi
Journal:  Eur Radiol Exp       Date:  2022-08-08

9.  Is there a Role for Contrast-enhanced Ultrasound in the Detection and Biopsy of MRI Only Visible Breast Lesions?

Authors:  Aki Nykänen; Otso Arponen; Anna Sutela; Ritva Vanninen; Mazen Sudah
Journal:  Radiol Oncol       Date:  2017-11-29       Impact factor: 2.991

10.  Using quantitative features extracted from T2-weighted MRI to improve breast MRI computer-aided diagnosis (CAD).

Authors:  Cristina Gallego-Ortiz; Anne L Martel
Journal:  PLoS One       Date:  2017-11-07       Impact factor: 3.240

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