Evaluating the Gray Level Co-Occurrence Matrix-Based Texture Features of Magnetic Resonance Images for Glioblastoma Multiform Patients' Treatment Response Assessment.

Background: Medical images of cancer patients are usually evaluated qualitatively by clinical specialists which makes the accuracy of the diagnosis subjective and related to the skills of clinicians. Quantitative methods based on the textural feature analysis may be useful to facilitate such evaluations. This study aimed to analyze the gray level co-occurrence matrix (GLCM)-based texture features extracted from T1-axial magnetic resonance (MR) images of glioblastoma multiform (GBM) patients to determine the distinctive features specific to treatment response or disease progression.

Believing in the Powers of Mindfulness: A Thematic Narrative Approach and the Development of a New Scale.

Objectives: The beliefs and expectations people bring into mindfulness practice can affect the measurement outcomes of interventions. The aim of this mixed-method study was to examine the key beliefs in the powers of mindfulness-understood as non-judgmental awareness of the present moment-to transform the individual and the society, and to develop and validate the Belief in the Powers of Mindfulness Scale (BPMS).

Method: In-depth, semi-structured interviews were conducted with mindfulness meditators ( = 32), including follow-up interviews ( = 22).