The Impact of Expert Pathology Review and Molecular Diagnostics on the Management of Sarcoma Patients: A Prospective Study of the Hellenic Group of Sarcomas and Rare Cancers.

Precise classification of sarcomas is crucial to optimal clinical management. In this prospective, multicenter, observational study within the Hellenic Group of Sarcoma and Rare Cancers (HGSRC), we assessed the effect of expert pathology review, coupled with the application of molecular diagnostics, on the diagnosis and management of sarcoma patients. Newly diagnosed sarcoma patients were addressed by their physicians to one of the two sarcoma pathologists of HGSRC for histopathological diagnostic assessment.

Artificial intelligence-assisted evaluation of cardiac function by oncology staff in chemotherapy patients.

Aims: Left ventricular ejection fraction (LVEF) calculation by echocardiography is pivotal in evaluating cancer patients' cardiac function. Artificial intelligence (AI) can facilitate the acquisition of optimal images and automated LVEF (autoEF) calculation. We sought to evaluate the feasibility and accuracy of LVEF calculation by oncology staff using an AI-enabled handheld ultrasound device (HUD).

A retrospective multicentric cohort study of checkpoint inhibitors-induced pruritus with focus on management.

Background: Limited data on immune checkpoint inhibitor (ICI)-induced pruritus per se and efficacy of different therapeutic modalities in its management exist.

Objective: To study the quantitative and qualitative characteristics of ICI-induced pruritus per se and to assess the efficacy of the therapeutic modalities usually applied.

Methods: We retrospectively reviewed the records of 91 patients who were under treatment with ICIs for any kind of neoplasia and developed pruritus during treatment.