Literature DB >> 33493230

Diffusion weighted imaging of the breast: Performance of standardized breast tumor tissue selection methods in clinical decision making.

M Wielema1,2, P E Sijens1, H Dijkstra1, G H De Bock2, I G van Bruggen3, J E Siegersma1, E Langius4, R M Pijnappel5, M D Dorrius1,2, M Oudkerk6,7.   

Abstract

OBJECTIVES: In breast diffusion weighted imaging (DWI) protocol standardization, it is recently shown that no breast tumor tissue selection (BTTS) method outperformed the others. The purpose of this study is to analyze the feasibility of three fixed-size breast tumor tissue selection (BTTS) methods based on the reproducibility, accuracy and time-measurement in comparison to the largest oval and manual delineation in breast diffusion weighted imaging data.
METHODS: This study is performed with a consecutive dataset of 116 breast lesions (98 malignant) of at least 1.0 cm, scanned in accordance with the EUSOBI breast DWI working group recommendations. Reproducibility of the maximum size manual (BTTS1) and of the maximal size round/oval (BTTS2) methods were compared with three smaller fixed-size circular BTTS methods in the middle of each lesion (BTTS3, 0.12 cm3 volume) and at lowest apparent diffusion coefficient (ADC) (BTTS4, 0.12 cm3; BTTS5, 0.24 cm3). Mean ADC values, intraclass-correlation-coefficients (ICCs), area under the curve (AUC) and measurement times (sec) of the 5 BTTS methods were assessed by two observers.
RESULTS: Excellent inter- and intra-observer agreement was found for any BTTS (with ICC 0.88-0.92 and 0.92-0.94, respectively). Significant difference in ADCmean between any pair of BTTS methods was shown (p = <0.001-0.009), except for BTTS2 vs. BTTS3 for observer 1 (p = 0.10). AUCs were comparable between BTTS methods, with highest AUC for BTTS2 (0.89-0.91) and lowest for BTTS4 (0.76-0.85). However, as an indicator of clinical feasibility, BTTS2-3 showed shortest measurement times (10-15 sec) compared to BTTS1, 4-5 (19-39 sec).
CONCLUSION: The performance of fixed-size BTTS methods, as a potential tool for clinical decision making, shows equal AUC but shorter ADC measurement time compared to manual or oval whole lesion measurements. The advantage of a fixed size BTTS method is the excellent reproducibility. A central fixed breast tumor tissue volume of 0.12 cm3 is the most feasible method for use in clinical practice.

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Year:  2021        PMID: 33493230      PMCID: PMC7833148          DOI: 10.1371/journal.pone.0245930

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  20 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.  Accuracy of combined dynamic contrast-enhanced magnetic resonance imaging and diffusion-weighted imaging for breast cancer detection: a meta-analysis.

Authors:  Li Zhang; Min Tang; Zhiqian Min; Jun Lu; Xiaoyan Lei; Xiaoling Zhang
Journal:  Acta Radiol       Date:  2015-08-13       Impact factor: 1.990

3.  Diagnostic performance of ADCs in different ROIs for breast lesions.

Authors:  Wei Zhang; Guan-Qiao Jin; Jun-Jie Liu; Dan-Ke Su; Ning-Bin Luo; Dong Xie; Shao-Lv Lai; Xiang-Yang Huang; Wei-Li Huang
Journal:  Int J Clin Exp Med       Date:  2015-08-15

4.  Diffusion-Weighted Imaging With Apparent Diffusion Coefficient Mapping for Breast Cancer Detection as a Stand-Alone Parameter: Comparison With Dynamic Contrast-Enhanced and Multiparametric Magnetic Resonance Imaging.

Authors:  Katja Pinker; Linda Moy; Elizabeth J Sutton; Ritse M Mann; Michael Weber; Sunitha B Thakur; Maxine S Jochelson; Zsuzsanna Bago-Horvath; Elizabeth A Morris; Pascal At Baltzer; Thomas H Helbich
Journal:  Invest Radiol       Date:  2018-10       Impact factor: 6.016

5.  Assessment of breast lesions with diffusion-weighted MRI: comparing the use of different b values.

Authors:  Fernanda Philadelpho Arantes Pereira; Gabriela Martins; Eduardo Figueiredo; Marisa Nassar Aidar Domingues; Romeu Cortes Domingues; Lea Mirian Barbosa da Fonseca; Emerson Leandro Gasparetto
Journal:  AJR Am J Roentgenol       Date:  2009-10       Impact factor: 3.959

Review 6.  Effect of b value and pre-admission of contrast on diagnostic accuracy of 1.5-T breast DWI: a systematic review and meta-analysis.

Authors:  Monique D Dorrius; Hildebrand Dijkstra; Matthijs Oudkerk; Paul E Sijens
Journal:  Eur Radiol       Date:  2014-08-09       Impact factor: 5.315

7.  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

8.  Diffusion-weighted imaging of breast lesions: Region-of-interest placement and different ADC parameters influence apparent diffusion coefficient values.

Authors:  Hubert Bickel; Katja Pinker; Stephan Polanec; Heinrich Magometschnigg; Georg Wengert; Claudio Spick; Wolfgang Bogner; Zsuzsanna Bago-Horvath; Thomas H Helbich; Pascal Baltzer
Journal:  Eur Radiol       Date:  2016-08-30       Impact factor: 5.315

9.  Limited role of DWI with apparent diffusion coefficient mapping in breast lesions presenting as non-mass enhancement on dynamic contrast-enhanced MRI.

Authors:  Daly Avendano; Maria Adele Marino; Doris Leithner; Sunitha Thakur; Blanca Bernard-Davila; Danny F Martinez; Thomas H Helbich; Elizabeth A Morris; Maxine S Jochelson; Pascal A T Baltzer; Paola Clauser; Panagiotis Kapetas; Katja Pinker
Journal:  Breast Cancer Res       Date:  2019-12-04       Impact factor: 6.466

10.  Diagnostic value of diffusion-weighted imaging with synthetic b-values in breast tumors: comparison with dynamic contrast-enhanced and multiparametric MRI.

Authors:  Isaac Daimiel Naranjo; Roberto Lo Gullo; Carolina Saccarelli; Sunitha B Thakur; Almir Bitencourt; Elizabeth A Morris; Maxine S Jochelson; Varadan Sevilimedu; Danny F Martinez; Katja Pinker-Domenig
Journal:  Eur Radiol       Date:  2020-08-11       Impact factor: 5.315

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