Partial Least Squares - Diffusion Tensor Imaging (PLS-DTI): A novel approach for biomarker imaging in breast cancer

Aguado-Sarrió, E.; Prats-Montalbán, José Manuel; Robles-Lozano, G.; Herrero, Julia Camps; Ferrer, Alberto

doi:10.1016/j.chemolab.2023.104777

Cited by 2 publications

(2 citation statements)

References 26 publications

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“…162,163 Despite its potential contribution to breast imaging, DTI, lacking from acquisition and interpretation standardization, has not been integrated in breast settings, and therefore, research to surpass its limitations is still ongoing. 164 Acknowledging that ADC quantifies both true tissue Gaussian diffusion and pseudo-diffusion due to blood microcirculation, the IVIM approach has been suggested to overcome this. 150 The IVIM effect prevails in lower b-value ranges (0-200 sec/mm 2 ), and by exploiting biexponential modeling, metrics such as tissue diffusivity (D) and pseudo-diffusion (D*) can be derived.…”

Section: Mri Techniquesmentioning

confidence: 99%

“…Results from previous studies report that DTI indices are related to pathophysiological tissue disorganization, thus indicating possible but debatable biomarkers 162,163 . Despite its potential contribution to breast imaging, DTI, lacking from acquisition and interpretation standardization, has not been integrated in breast settings, and therefore, research to surpass its limitations is still ongoing 164 . Acknowledging that ADC quantifies both true tissue Gaussian diffusion and pseudo‐diffusion due to blood microcirculation, the IVIM approach has been suggested to overcome this 150 .…”

Section: Part 2: Novel Imaging Approaches Toward Risk‐adapted Breast ...mentioning

confidence: 99%

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New Approaches and Recommendations for Risk‐Adapted Breast Cancer Screening

Tsarouchi

Hoxhaj

Mann

2023

Magnetic Resonance Imaging

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Population‐based breast cancer screening using mammography as the gold standard imaging modality has been in clinical practice for over 40 years. However, the limitations of mammography in terms of sensitivity and high false‐positive rates, particularly in high‐risk women, challenge the indiscriminate nature of population‐based screening. Additionally, in light of expanding research on new breast cancer risk factors, there is a growing consensus that breast cancer screening should move toward a risk‐adapted approach. Recent advancements in breast imaging technology, including contrast material‐enhanced mammography (CEM), ultrasound (US) (automated‐breast US, Doppler, elastography US), and especially magnetic resonance imaging (MRI) (abbreviated, ultrafast, and contrast‐agent free), may provide new opportunities for risk‐adapted personalized screening strategies. Moreover, the integration of artificial intelligence and radiomics techniques has the potential to enhance the performance of risk‐adapted screening. This review article summarizes the current evidence and challenges in breast cancer screening and highlights potential future perspectives for various imaging techniques in a risk‐adapted breast cancer screening approach.Evidence Level1.Technical EfficacyStage 5.

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