Publications by authors named "Atiya Allarakha"

Article Synopsis
  • This study analyzed DWI/ADC and DCE-MRI parameters in breast MRIs to differentiate between benign and malignant lesions, aiming to identify predictors of malignancy and develop a predictive model.* -
  • It evaluated 121 patients with 151 breast lesions, finding significant differences in lesion size, age, and specific MRI parameters like TIC and ADC values between the malignant and benign groups.* -
  • The results identified ADCmean and TIC as strong independent predictors of malignancy, with a predictive model achieving high sensitivity (94.2%) for cancer detection.*
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Breast cancer (BC) research has been evolving tremendously on all fronts, whether it being for imaging, pathology, oncology, pharmacology, or genetics. Regarding medical imaging, dynamic contrast enhanced MRI (DCE-MRI) and diffusion weighted imaging (DWI) are now both universally recognized and widely used modalities in multiparametric MRI (mp-MRI) to diagnose and stage BC, to assess post-chemotherapy response, and to differentiate between scar tissue and recurrent tumor. Meanwhile, pathologists have provided evidence of BC being heterogeneous and having several subtypes, which in turn might affect its prognostic and therapeutic outcomes.

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