Publications by authors named "Mohammadreza Hosseini-Siyanaki"

Rationale And Objectives: To evaluate and compare image quality of different energy levels of virtual monochromatic images (VMIs) using standard versus strong deep learning spectral reconstruction (DLSR) on dual-energy CT pulmonary angiogram (DECT-PA).

Materials And Methods: A retrospective study was performed on 70 patients who underwent DECT-PA (15 PE present; 55 PE absent) scans. VMIs were reconstructed at different energy levels ranging from 35 to 200 keV using standard and strong levels with deep learning spectral reconstruction.

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Oncolytic viral therapy is quickly emerging as a promising subset of immunotherapy, which theoretically can target tumor cells while sparing surrounding healthy cells by harnessing the replication machinery of viruses with tropism for tumor cells, resulting in direct oncolysis, and by transforming immunologically "cold" tumor into areas that elicit the host's immune response. This review provides an overview of oncolytic viral therapy until the present day, starting with the original concept in 1912. The general mechanism of oncolytic viruses (OVs) depends on selectively integrating them into tumor cells based on genetic engineering of viral genomic material, inducing oncolysis and eliciting the host's innate immune response.

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