Purpose: To study the feasibility of black-blood contrast in native T mapping for reduction of partial voluming at the blood-myocardium interface.
Methods: A saturation pulse prepared heart-rate-independent inversion recovery (SAPPHIRE) T mapping sequence was combined with motion-sensitized driven-equilibrium (MSDE) blood suppression for black-blood T mapping at 3 Tesla. Phantom scans were performed to assess the T time accuracy. In vivo black-blood and conventional SAPPHIRE T mapping was performed in eight healthy subjects and analyzed for T times, precision, and inter- and intraobserver variability. Furthermore, manually drawn regions of interest (ROIs) in all T maps were dilated and eroded to analyze the dependence of septal T times on the ROI thickness.
Results: Phantom results and in vivo myocardial T times show comparable accuracy with black-blood compared to conventional SAPPHIRE (in vivo: black-blood: 1562 ± 56 ms vs. conventional: 1583 ± 58 ms, P = 0.20); Using black-blood SAPPHIRE precision was significantly lower (standard deviation: 133.9 ± 24.6 ms vs. 63.1 ± 6.4 ms, P < .0001), and blood T time measurement was not possible. Significantly increased interobserver interclass correlation coefficient (ICC) (0.996 vs. 0.967, P = 0.011) and similar intraobserver ICC (0.979 vs. 0.939, P = 0.11) was obtained with the black-blood sequence. Conventional SAPPHIRE showed strong dependence on the ROI thickness (R = 0.99). No such trend was observed using the black-blood approach (R = 0.29).
Conclusion: Black-blood SAPPHIRE successfully eliminates partial voluming at the blood pool in native myocardial T mapping while providing accurate T times, albeit at a reduced precision. Magn Reson Med 78:484-493, 2017. © 2016 International Society for Magnetic Resonance in Medicine.
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http://dx.doi.org/10.1002/mrm.26378 | DOI Listing |
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.
Methods: Children with various CHD diagnoses (n = 298) were examined on a 1.
Eur J Surg Oncol
January 2025
Imperial College Healthcare Trust, Fulham Palace Road, London, W6 8RF, England, UK. Electronic address:
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).
J Neurosurg
January 2025
Departments of2Neurological Surgery and.
Objective: Skull base chordomas (SBCs) often present with cranial nerve (CN) VI deficits. Studies have not assessed the prognosis and predictive factors for CN VI recovery among patients presenting with CN VI deficits.
Methods: The medical records of patients who underwent resection for primary chordoma from 2001 to 2020 were reviewed.
Technol Cancer Res Treat
January 2025
Jinan University, Guangzhou, Guangdong, China.
Introduction: Metastasis remains a major cause of death among patients with malignant tumors. Radiotherapy is one of the main modalities of cancer treatment. The rapid development of radiotherapy technology has enabled the widespread application of hypofractionated radiotherapy (HFRT) in clinical practice.
View Article and Find Full Text PDFDiagn Interv Radiol
January 2025
Huadong Hospital, Fudan University, Department of Thoracic Surgery, Shanghai, China.
Purpose: Patients with advanced non-small cell lung cancer (NSCLC) have varying responses to immunotherapy, but there are no reliable, accepted biomarkers to accurately predict its therapeutic efficacy. The present study aimed to construct individualized models through automatic machine learning (autoML) to predict the efficacy of immunotherapy in patients with inoperable advanced NSCLC.
Methods: A total of 63 eligible participants were included and randomized into training and validation groups.
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