The aim was to investigate and determine waiting intervals from diagnosis to first treatment in brain tumor patients. A prospective observational study was performed at the Department of Neurology, Split University Hospital Center, Split, Croatia, from February 21, 2016 until April 10, 2017. The inclusion criterion was the diagnosis of brain tumor confirmed by standard neuroimaging methods. The diagnosis-to-treatment interval (DTI) was defined as the time interval between the date of confirmed radiological diagnosis and the initiation of definitive treatment. Out of 73 patients diagnosed with brain tumor, 3 of them died, 16 were discharged for symptomatic treatment, and the rest were cured by surgical and/or oncologic procedures. The median DTI for any kind of treatment was 15.5 days. The median DTI for radio-guided and resection surgery was 14 days, while the median DTI for the initial oncologic treatment was 42 days. The median DTI of 15.5 days for brain tumors is still, by a wide margin, beyond the preferable one-digit number. When compared to the available data from other countries, however, it seems that the health system in Croatia provides the same, if not a slightly higher, level of efficiency. The median DTI for primary oncologic treatment did, however, indicate a substantial delay.
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http://dx.doi.org/10.20471/acc.2022.61.01.15 | DOI Listing |
Phys Imaging Radiat Oncol
January 2025
Aarhus University Hospital, Danish Centre for Particle Therapy, Palle Juul-Jensens Blvd. 25, 8200 Aarhus, Denmark.
Background And Purpose: Diffusion tensor imaging (DTI) has been proposed to guide the anisotropic expansion from gross tumor volume to clinical target volume (CTV), aiming to integrate known tumor spread patterns into the CTV. This study investigate the potential of using a DTI atlas as an alternative to patient-specific DTI for generating anisotropic CTVs.
Materials And Methods: The dataset consisted of twenty-eight newly diagnosed glioblastoma patients from a Danish national DTI protocol with post-operative T1-contrast and DTI imaging.
Neuroimage Clin
January 2025
Department of Neurological Surgery, Thomas Jefferson University Hospital, Philadelphia, PA, United States. Electronic address:
Purpose: This study aims to assess whether water exchange rate (k), a surrogate for blood-brain barrier (BBB) permeability, is associated with functional outcomes in patients with acute ischemic stroke (AIS).
Methods: We studied 22 AIS patients enrolled from 1/2022 to 4/2024 who underwent multi-modal non-contrast imaging on a 3.0-Tesla scanner, including DP-pCASL, DTI, NODDI and MAP imaging.
J Neurodev Disord
January 2025
Department of Radiology, The First Affiliated Hospital of Sun Yat-sen University, No 58 Zhongshan 2nd Road, Guangzhou, 510080, China.
Background: Spinal muscular atrophy (SMA) is caused by reduced expression of survival motor neuron (SMN) protein. Previous studies indicated SMA causes not only lower motor neuron degeneration but also extensive brain involvement. This study aimed to investigate the changes of brain white matter and structural network using diffusion tensor imaging (DTI) in children with type 2 and 3 SMA.
View Article and Find Full Text PDFClin Breast Cancer
December 2024
Department of General Surgery, Shin Kong Wu Ho-Su Memorial Hospital, Shilin, Taipei, Taiwan; Breast Cancer Center, Shin Kong Wu Ho-Su Memorial Hospital, Shilin, Taipei, Taiwan; School of Medicine, Fu Jen Catholic University, New Taipei City, Taiwan; School of Medicine, College of Medicine, Fu Jen Catholic University, Taipei, Taiwan. Electronic address:
Background: The use of robotic-assisted nipple-sparing mastectomy (R-NSM) with immediate direct-to-implant (DTI) reconstruction in treatment of breast cancer has been a controversial topic. The adoption of robotic surgery in breast cancer treatment has gained traction globally due to its minimally invasive nature, potential for improved cosmetic outcomes and better intraoperative visualization. This study provides insights on safety and feasibility robotic mastectomy at one of the largest centers in Asia.
View Article and Find Full Text PDFDiagnostics (Basel)
December 2024
Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
: The accurate and early distinction of glioblastomas (GBMs) from single brain metastases (BMs) provides a window of opportunity for reframing treatment strategies enabling optimal and timely therapeutic interventions. We sought to leverage physiologically sensitive parameters derived from diffusion tensor imaging (DTI) and dynamic susceptibility contrast (DSC)-perfusion-weighted imaging (PWI) along with machine learning-based methods to distinguish GBMs from single BMs. : Patients with histopathology-confirmed GBMs ( = 62) and BMs ( = 26) and exhibiting contrast-enhancing regions (CERs) underwent 3T anatomical imaging, DTI and DSC-PWI prior to treatment.
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