Background And Aim: Understanding the patient's experience of mental illness can foster better support for this population and greater partnership with healthcare professionals. This study aims to explore the application of visual methods in the psychiatric field and, in particular, the experience of people suffering from psychotic disorders because it is still an open question that has not been only partially empirically examined.
Methods: This qualitative study was conducted using two visual methods (auto-photography and photo-elicitation) associated with the narrative that emerged from an unstructured interview, in a clinical setting of adult Mental Health in Italy, between October 2019 and February 2020. A total of 5 patients and 5 corresponding referring healthcare professionals were identified and enrolled. Patients were asked to produce photographs following 4 thematic areas: "Fun", "Time", "Something indispensable", "Place where I feel good".
Results: A total of 85 photographs were produced. Visual methods have proved to be a useful technique in qualitative research in the area of adult psychiatry. From the interviews, it emerged that visual methods have allowed psychotic patients to use a new language to be able to communicate their emotions.
Conclusions: The healthcare professionals involved also confirm the potential of this tool which, when combined with the traditional interview, is able to deepen the patient's knowledge by overcoming the verbal barriers that often make it difficult to reconstruct the individual experience of illness.
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http://dx.doi.org/10.23750/abm.v92iS2.11945 | DOI Listing |
Surgery
January 2025
Breast Surgery Unit, Veneto Institute of Oncology IOV, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Padova, Italy.
Background: Intraoperative ultrasound-guided breast-conserving surgery guarantees real-time direct visualization of tumor and resection margins. We compared surgical, oncologic, and cosmetic outcomes between intraoperative ultrasound-guided breast-conserving surgery and traditional (palpation- or wire-guided) surgery across all breast cancer lesion types.
Methods: This prospective observational cohort study was conducted at the Veneto Institute of Oncology between January 2021 and October 2022.
J Neurosurg Spine
January 2025
1Department of Orthopedics, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China.
Objective: The potential of robot-assisted (RA) single-position (SP) lateral lumbar interbody fusion (LLIF) warrants further investigation. This study aimed to assess the efficacy of RA-SP-LLIF in improving both clinical and radiographic outcomes in patients undergoing lumbar spinal fusion surgery.
Methods: A total of 59 patients underwent either RA-SP-LLIF (n = 31 cases) or traditional LLIF (n = 28 cases).
J Neurosurg
January 2025
1Department of Neurosurgery, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russian Federation.
Objective: The purpose of this study was to present a newly designed 3D-printed personalized model (3D PPM) of a radiofrequency needle guide with a maxillary fixation for gasserian ganglion (GG) puncture.
Methods: Implementation of 3D CT-guided radiofrequency therapy of the GG with and without use of 3D PPM was analyzed. The following parameters were assessed: radiation time, dose area product, air kerma reference point, pain severity during the puncture needle insertion, prosopalgia regression degree (according to visual analog scale) and the severity of facial numbness (according to the Barrow Neurological Institute scale) in the early postoperative period, and postpuncture complications.
Neurology
February 2025
Departments of Child Neurology and General Practice, University of Turku and Turku University Hospital, Finland.
Background And Objectives: Previous research has demonstrated increased brain amyloid plaque load in individuals with childhood-onset epilepsy in late middle age. However, the trajectory of this process is not yet known. The aim of this study was to determine whether individuals with a history of childhood-onset epilepsy show progressive brain aging in amyloid accumulation in late adulthood (Turku Adult Childhood-Onset Epilepsy study, TACOE).
View Article and Find Full Text PDFPLoS One
January 2025
School of Optometry and Vision Science, UNSW Sydney, Sydney, New South Wales, Australia.
Purpose: In this study, we investigated the performance of deep learning (DL) models to differentiate between normal and glaucomatous visual fields (VFs) and classify glaucoma from early to the advanced stage to observe if the DL model can stage glaucoma as Mills criteria using only the pattern deviation (PD) plots. The DL model results were compared with a machine learning (ML) classifier trained on conventional VF parameters.
Methods: A total of 265 PD plots and 265 numerical datasets of Humphrey 24-2 VF images were collected from 119 normal and 146 glaucomatous eyes to train the DL models to classify the images into four groups: normal, early glaucoma, moderate glaucoma, and advanced glaucoma.
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