Linda Appelman's research while affiliated with Radboud University Medical Centre (Radboudumc) and other places
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Publications (10)
Background Digital breast tomosynthesis (DBT) followed by targeted US is commonly performed to evaluate women with localized breast complaints. However, the added value of DBT in addition to targeted US is unknown. Omitting DBT may be cost-effective and improve patient comfort but may miss potential breast cancer. Purpose To assess whether an imagi...
Accurately determining the molecular subtypes of breast cancer is important for the prognosis of breast cancer patients and can guide treatment selection. In this study, we develop a deep learning-based model for predicting the molecular subtypes of breast cancer directly from the diagnostic mammography and ultrasound images. Multi-modal deep learn...
Background: The high diagnostic performance of modern breast ultrasound (US) opens the possibility to shift toward targeted US as initial imaging test in women with breast complaints. This comparative cohort study investigates the effects of starting with US followed by digital breast tomosynthesis (DBT), as practiced in the breast ultrasound study...
Purpose:
In this study, we compare readout-segmented echo-planar imaging (rs-EPI) Diffusion Weighted Imaging (DWI) to a work-in-progress single-shot EPI with modified Inversion Recovery Background Suppression (ss-EPI-mIRBS) sequence at 3 T using a b-value of 2000 s/mm2 on image quality, lesion visibility and evaluation time.
Method:
From Septemb...
Objectives
Digital breast tomosynthesis (DBT) increases sensitivity of mammography and is increasingly implemented in breast cancer screening. However, the large volume of images increases the risk of reading errors and reading time. This study aims to investigate whether the accuracy of breast radiologists reading wide-angle DBT increases with the...
Purpose
To compare diffusion-weighted imaging of the breast performed with a conventional readout-segmented echo-planar imaging (rs-EPI) sequence to when using a prototype simultaneous multi-slice single-shot EPI (SMS-ss-EPI) acquisition.
Method
From September 2017 to December 2018, 26 women with histologically proven breast cancer were scanned wi...
Purpose:
To determine the added value of mammography in women with focal breast complaints and the utility of initial targeted ultrasound in this setting.
Methods:
Women with symptomatic breast disease who were evaluated by breast imaging (mammography/digital breast tomosynthesis and ultrasound) between January 2016 and December 2016 in the Radb...
Objective:
Ultrafast dynamic contrast-enhanced magnetic resonance imaging of the breast enables assessment of the contrast inflow dynamics while providing images with diagnostic spatial resolution. However, the slice thickness of common ultrafast techniques still prevents multiplanar reconstruction. In addition, some temporal blurring of the enhan...
Citations
... Radiomic features can provide a better overall representation of cancer, enabling more accurate classification and treatment. For example, previous studies have shown that combining MMG and ultrasound images to extract features has high accuracy in discriminating luminal and non-luminal diseases [93]. ...
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... However, obtaining multi-parametric MRI makes the examination costly from financial and time considerations, thus making acquisition of an exhaustive multiparametric MRI protocol less optimal [8,9]. Currently, MRI-based breast cancer screening is highly valued by clinicians and researchers [10,11,12,13,14]. Typically, only T1-weighted pre-and post-contrast MRI and DWI or T2 are included in the screening protocols, and while some abbreviated MRI protocols have also explored obtaining more MRI parameters, this is time-consuming and costly [3,15,16,17,18]. ...
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... Furthermore, AI systems can be used for concurrent clinical decision support during reading of DM or DBT exams. Many studies have shown that radiologists improved their cancer detection accuracy when using an AI system as concurrent reading support [22][23][24][25][26][27], while decreasing their false positive and recall rates [24,25]. However, none of these studies have been carried out in real-world screening programs and have used cancer-enriched datasets. ...
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... Consequently, and in agreement with our results, it is well-established that DWI in general [38] and breast DWI in particular [39] are prone to susceptibility artifacts. In recent years, several alternative pulse sequences to diffusion-based EPI have been developed [40][41][42][43], but these have not been attempted near metals, whereas other advanced MRI techniques specifically designed for reducing metal-induced artifacts have yet to be studied for breast [44,45], leaving this an area for future research. ...
... Since then, research on lesions newly detected on MRI has progressed, and the term "MRIdetected lesion" has recently become established for these lesions. In Europe and the United States, MG is used for screening, and US is performed by targeting the site of MG findings and clinical symptoms, which is called "target ultrasound" [8,9]. In addition, US examinations in which lesions detected on US are newly evaluated using contrastenhanced ultrasound [10] or automated breast ultrasonography (ABUS) are also referred to as "target ultrasound" [11]. ...
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... This approach has improved the temporal resolution by a factor of ten, allowing the acquisition of sequential fast DCE images in the first-minute post-contrast and the quantification of the wash-in kinetics. Initial breast ultrafast MRI studies have reported promising results in discriminating benign from malignant breast lesions, prognostication of breast cancer, and monitoring response to chemotherapy [19][20][21][22][23][24][25][26][27][28][29][30][31]. ...
