Cargando…

Impact of the Kaiser score on clinical decision-making in BI-RADS 4 mammographic calcifications examined with breast MRI

OBJECTIVES: To investigate whether the application of the Kaiser score for breast magnetic resonance imaging (MRI) might downgrade breast lesions that present as mammographic calcifications and avoid unnecessary breast biopsies METHODS: This IRB-approved, retrospective, cross-sectional, single-cente...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wengert, G. J., Pipan, F., Almohanna, J., Bickel, H., Polanec, S., Kapetas, P., Clauser, P., Pinker, K., Helbich, T. H., Baltzer, P. A. T.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer Berlin Heidelberg 2019
Materias:	Breast
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7033072/ https://www.ncbi.nlm.nih.gov/pubmed/31797077 http://dx.doi.org/10.1007/s00330-019-06444-w

Ejemplares similares

The Kaiser score reliably excludes malignancy in benign contrast-enhancing lesions classified as BI-RADS 4 on breast MRI high-risk screening exams
por: Milos, Ruxandra Iulia, et al.
Publicado: (2020)

Inter- and intra-observer agreement of BI-RADS-based subjective visual estimation of amount of fibroglandular breast tissue with magnetic resonance imaging: comparison to automated quantitative assessment
por: Wengert, G. J., et al.
Publicado: (2016)

MR-guided vacuum-assisted breast biopsy of MRI-only lesions: a single center experience
por: Spick, Claudio, et al.
Publicado: (2016)

Breast lesions classified as probably benign (BI-RADS 3) on magnetic resonance imaging: a systematic review and meta-analysis
por: Spick, Claudio, et al.
Publicado: (2017)

Clinical relevance of total choline (tCho) quantification in suspicious lesions on multiparametric breast MRI
por: Sodano, Claudia, et al.
Publicado: (2020)

An A.I. classifier derived from 4D radiomics of dynamic contrast-enhanced breast MRI data: potential to avoid unnecessary breast biopsies
por: Pötsch, Nina, et al.
Publicado: (2021)

One view or two views for wide-angle tomosynthesis with synthetic mammography in the assessment setting?
por: Clauser, Paola, et al.
Publicado: (2021)

Breast MRI: does a clinical decision algorithm outweigh reader experience?
por: Pötsch, Nina, et al.
Publicado: (2022)

A simple classification system (the Tree flowchart) for breast MRI can reduce the number of unnecessary biopsies in MRI-only lesions
por: Woitek, Ramona, et al.
Publicado: (2017)

Introduction of a breast apparent diffusion coefficient category system (ADC-B) derived from a large multicenter MRI database
por: Bickel, Hubert, et al.
Publicado: (2023)

Diffusion‐Weighted MRI of Breast Cancer: Improved Lesion Visibility and Image Quality Using Synthetic b‐Values
por: Bickel, Hubert, et al.
Publicado: (2019)

A survey by the European Society of Breast Imaging on the utilisation of breast MRI in clinical practice
por: Clauser, Paola, et al.
Publicado: (2017)

Density and tailored breast cancer screening: practice and prediction – an overview
por: Wengert, Georg J, et al.
Publicado: (2018)

Can we reduce the workload of mammographic screening by automatic identification of normal exams with artificial intelligence? A feasibility study
por: Rodriguez-Ruiz, Alejandro, et al.
Publicado: (2019)

Prospective validation of 18F-Fluoroethylcholine as a tracer in PET/MRI for the evaluation of breast lesions and prediction of lymph node status
por: Clauser, Paola, et al.
Publicado: (2023)

MRI for the assessment of malignancy in BI-RADS 4 mammographic microcalcifications
por: Bennani-Baiti, Barbara, et al.
Publicado: (2017)

Sequential [(18)F]FDG-[(18)F]FMISO PET and Multiparametric MRI at 3T for Insights into Breast Cancer Heterogeneity and Correlation with Patient Outcomes: First Clinical Experience
por: Andrzejewski, Piotr, et al.
Publicado: (2019)

Virtual Touch IQ elastography reduces unnecessary breast biopsies by applying quantitative “rule-in” and “rule-out” threshold values
por: Kapetas, Panagiotis, et al.
Publicado: (2018)

A Simple Ultrasound Based Classification Algorithm Allows Differentiation of Benign from Malignant Breast Lesions by Using Only Quantitative Parameters
por: Kapetas, Panagiotis, et al.
Publicado: (2018)

AI-enhanced simultaneous multiparametric (18)F-FDG PET/MRI for accurate breast cancer diagnosis
por: Romeo, V., et al.
Publicado: (2021)

Value of the BI-RADS classification in MR-Mammography for diagnosis of benign and malignant breast tumors
por: Sohns, Christian, et al.
Publicado: (2011)

Breast cancer screening in women with extremely dense breasts recommendations of the European Society of Breast Imaging (EUSOBI)
por: Mann, Ritse M., et al.
Publicado: (2022)

The Breast Imaging Reporting and Data System (BI-RADS) in the Dutch breast cancer screening programme: its role as an assessment and stratification tool
por: Timmers, J. M. H., et al.
Publicado: (2012)

Breast lesion detection and characterization with contrast‐enhanced magnetic resonance imaging: Prospective randomized intraindividual comparison of gadoterate meglumine (0.15 mmol/kg) and gadobenate dimeglumine (0.075 mmol/kg) at 3T
por: Clauser, Paola, et al.
Publicado: (2018)

Diffusion-weighted imaging of the breast—a consensus and mission statement from the EUSOBI International Breast Diffusion-Weighted Imaging working group
por: Baltzer, Pascal, et al.
Publicado: (2019)

Interobserver variability and likelihood of malignancy for fifth edition BI-RADS MRI descriptors in non-mass breast lesions
por: Lunkiewicz, Magdalena, et al.
Publicado: (2019)

Diagnostic accuracy of automated ACR BI-RADS breast density classification using deep convolutional neural networks
por: Sexauer, Raphael, et al.
Publicado: (2023)

Mammographic calcifications undergoing percutaneous biopsy: outcome in women with and without a personal history of breast cancer
por: Bertani, Valeria, et al.
Publicado: (2023)

Simultaneous 18F-FDG PET/MRI Radiomics and Machine Learning Analysis of the Primary Breast Tumor for the Preoperative Prediction of Axillary Lymph Node Status in Breast Cancer
por: Romeo, Valeria, et al.
Publicado: (2023)

Investigating the prediction value of multiparametric magnetic resonance imaging at 3 T in response to neoadjuvant chemotherapy in breast cancer
por: Minarikova, Lenka, et al.
Publicado: (2016)

3D T2-weighted imaging to shorten multiparametric prostate MRI protocols
por: Polanec, Stephan H., et al.
Publicado: (2017)

Breast MRI in the era of diffusion weighted imaging: do we still need signal-intensity time curves?
por: Dietzel, Matthias, et al.
Publicado: (2019)

Fully automatic classification of automated breast ultrasound (ABUS) imaging according to BI-RADS using a deep convolutional neural network
por: Hejduk, Patryk, et al.
Publicado: (2022)

A survey by the European Society of Breast Imaging on the implementation of breast diffusion-weighted imaging in clinical practice
por: Lo Gullo, Roberto, et al.
Publicado: (2022)

Non-Invasive Assessment of Hypoxia and Neovascularization with MRI for Identification of Aggressive Breast Cancer
por: Bennani-Baiti, Barbara, et al.
Publicado: (2020)

A Simultaneous Multiparametric (18)F-FDG PET/MRI Radiomics Model for the Diagnosis of Triple Negative Breast Cancer
por: Romeo, Valeria, et al.
Publicado: (2022)

Breast MRI: EUSOBI recommendations for women’s information
por: Mann, Ritse M., et al.
Publicado: (2015)

Does it matter for the radiologists’ performance whether they read short or long batches in organized mammographic screening?
por: Backmann, Heinrich A., et al.
Publicado: (2021)

Association Between Lifestyle Changes, Mammographic Breast Density, and Breast Cancer
por: Lester, Sara P, et al.
Publicado: (2022)

Measuring mammographic density: comparing a fully automated volumetric assessment versus European radiologists’ qualitative classification
por: Sartor, Hanna, et al.
Publicado: (2016)

Cannot write session to /tmp/vufind_sessions/sess_bua6454vahheifdoti9p70ercq