Spleen volume assessment in Ph-negative chronic myeloproliferative neoplasms: a real-life study comparing ultrasonography vs. magnetic resonance imaging scans.

Splenomegaly is a quite common clinical feature of Philadelphia (Ph) negative chronic myeloproliferative neoplasms (MPNs) and its presence may, in some cases, drives treatment decision. Most importantly, palpable splenomegaly is a minor criterion for both pre-fibrotic/early primary myelofibrosis and primary myelofibrosis (PMF) diagnosis, even if clinical assessment by physical examination is poorly reliable and accurate. On the other hand, despite the International Working Group-Myeloproliferative Neoplasms Research and Treatment and European LeukemiaNet guidelines defined spleen response criteria by palpation, they also recognized the highly subjective nature of spleen size assessment by physical examination, and recommended objective confirmation of volume reduction via computed tomography or magnetic resonance imaging (MRI).

Pre-biologic FeNO might predict anti-IL-5/IL-5Rα response to treatment in severe asthmatics.

Objective: It remains unclear whether baseline FeNO levels can predict response to anti-IL5/5R biologic treatment in patients with severe asthma.

Methods: We recruited 104 patients with severe eosinophilic asthma treated with anti-IL5/anti-IL5R for at least one year who had measured FeNO values before the beginning of anti-eosinophilic treatment. Population was divided into subjects with FeNO < 25 and ≥25 ppb.

Exploratory Analysis of Radiomics and Pathomics in Uterine Corpus Endometrial Carcinoma.

Uterine corpus endometrial carcinoma (EC) is one of the most common malignancies in the female reproductive system, characterized by tumor heterogeneity at both radiological and pathological scales. Both radiomics and pathomics have the potential to assess this heterogeneity and support EC diagnosis. This study examines the correlation between radiomics features from Apparent Diffusion Coefficient (ADC) maps and post-contrast T1 (T1C) images with pathomic features from pathology images in 32 patients from the CPTAC-UCEC database.

Mechanical and semantic knowledge mediate the implicit understanding of the physical world.

Most recent accounts highlight the importance of two aspects of cognition in the implicit understanding of the physical world: semantic knowledge (the ability to recognize, categorize, and relate concepts) and mechanical knowledge (the capability to comprehend how things mechanically work). However, how the human brain may integrate these cognitive processes remains largely unexplored. Here, we use functional magnetic resonance imaging to investigate this integration employing a novel free-viewing task.

Association of radiomic features with genomic signatures in thyroid cancer: a systematic review.

Background: There is a growing interest on the association of radiomic features with genomic signatures in oncology. Using computational methods, quantitative radiomic data are extracted from various imaging techniques and integrated with genomic information to construct predictive models aimed at advancing diagnostic strategies in cancer patient management. In this context, the aim of this systematic review was to assess the current knowledge on potential application of this association in patients with thyroid cancer (TC).