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Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
Published on: August 16, 2020
MRI differential diagnosis: bone metastases versus bone lesions due to malignant hemopathies
Ana Magdalena Bratu1, Victor Paul Raica, Iulia Alecsandra Sălcianu
1Department of Radiology and Medical Imaging, "Coltea" Clinical Hospital, Bucharest, Romania; salcianu_iulia@yahoo.com.
Abstract:
Bone determinations are usually the first sign of disseminated cancers, whether is a hematological malignancy or other type of neoplasia. The aim of this paper is the possibility of differentiating the bone lesions from hematological malignancies by other malignancies that give bone metastases for the purpose to guide the clinician concerning causality of bone lesions. The research involved a retrospective study, which included 309 cases that were investigated by magnetic resonance imaging (MRI) at a segment of the spine, between 2010 and 2014, from which 137 were diagnosed with a form of hematological neoplasia, and the remaining had another form of cancer. Imaging aspect differs in these two study groups. Bone determinations due to malignant hemopathies (MH) were in general hypointense on T1-weighted sequences, iso- or hyperintense on T2-weighted sequences. On the other hand, bone metastases were hypo- or isointense on T1-weighted sequences, and had no specific signal intensity on T2-weighted sequences. In post-contrast images, all lesions showed contrast enhancement, with some differences. In terms of imagistic aspect, there are certain characteristics that can make a clear differentiation between bone determinations due to MH from the bone metastases, and some are found in the majority of the cases studied.
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