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Machine learning-based assessment of morphometric abnormalities distinguishes bipolar disorder and major depressive disorder.

Neuroradiology

January 2025

Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.

Introduction: Bipolar disorder (BD) and major depressive disorder (MDD) have overlapping clinical presentations which may make it difficult for clinicians to distinguish them potentially resulting in misdiagnosis. This study combined structural MRI and machine learning techniques to determine whether regional morphological differences could distinguish patients with BD and MDD.

Methods: A total of 123 participants, including BD (n = 31), MDD (n = 48), and healthy controls (HC, n = 44), underwent high-resolution 3D T1-weighted imaging.

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Implications of a new clinical classification of acute myocardial infarction.

Eur Heart J Acute Cardiovasc Care

January 2025

BHF/University Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.

Aim: The diagnostic criteria for type 2 myocardial infarction identify a heterogenous group of patients with variable outcomes and no clear treatment implications. We aimed to determine the implications of a new clinical classification for myocardial infarction with more objective diagnostic criteria using cardiac imaging.

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Background: Thick fetal corpus callosum (CC) is a rare finding and its significance in isolation is not clear. In this retrospective study, we aim to gain insight into the microarchitecture of CC in a cohort of fetuses with thick and short CC (isolated or associated with mild extra-/intracranial abnormalities) as seen on ultrasound (US), by using prenatal magnetic resonance (MR) diffusion tensor imaging (DTI) with fiber tractography, thereby allowing better characterization for postnatal prognosis.

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4D flow cardiac magnetic resonance in pediatric congenital heart disease: Insights from over four years of clinical practice.

Clin Imaging

January 2025

Institute of Clinical sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Dept of Pediatric Radiology, The Queen Silvia Children's Hospital, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden.

Background: Congenital heart diseases (CHDs) are common birth defects. This work presents over four years of clinical experience of 4D flow cardiovascular magnetic resonance (CMR), highlighting its value for pediatric CHD.

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Purpose: Response Evaluation Criteria in Solid Tumours (RECIST) determines partial response (PR) and progressive disease (PD) as a 30 % reduction and 20 % increase in the longest diameter (LD), respectively. Tumour volume analysis (TVA) utilises three diameters to calculate response parameters.

Patients And Methods: We conducted a pilot investigation of patients who underwent neoadjuvant breast cancer treatment and evaluation using RECIST with LD measurements and TVA with three diametric measurements, using the parameters PR (>30 % tumour regression), PD (>20 % tumour growth), and intermediate stable disease (SD).

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