Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Matthew D DiFranco"'
Autor:
Attila Forgacs, Hermann Pall Jonsson, Magnus Dahlbom, Freddie Daver, Matthew D DiFranco, Gabor Opposits, Aron K Krizsan, Ildiko Garai, Johannes Czernin, Jozsef Varga, Lajos Tron, Laszlo Balkay
Publikováno v:
PLoS ONE, Vol 11, Iss 10, p e0164113 (2016)
Textural analysis might give new insights into the quantitative characterization of metabolically active tumors. More than thirty textural parameters have been investigated in former F18-FDG studies already. The purpose of the paper is to declare bas
Externí odkaz:
https://doaj.org/article/4f6cec918af94d72838d147d1d424a40
Autor:
Martha Nowosielski, Matthew D DiFranco, Daniel Putzer, Marcel Seiz, Wolfgang Recheis, Andreas H Jacobs, Günther Stockhammer, Markus Hutterer
Publikováno v:
PLoS ONE, Vol 9, Iss 4, p e95830 (2014)
OBJECTIVES: Intra-individual spatial overlap analysis of tumor volumes assessed by MRI, the amino acid PET tracer [18F]-FET and the nucleoside PET tracer [18F]-FLT in high-grade gliomas (HGG). METHODS: MRI, [18F]-FET and [18F]-FLT PET data sets were
Externí odkaz:
https://doaj.org/article/42568a444b0346baaaf5b55154599bef
Autor:
Holden Archer, Seth Reine, Ahmed Alshaikhsalama, Joel Wells, Ajay Kohli, Louis Vazquez, Allan Hummer, Matthew D. DiFranco, Richard Ljuhar, Yin Xi, Avneesh Chhabra
Publikováno v:
Bone & Joint Open, Vol 3, Iss 11, Pp 877-884 (2022)
AimsHip dysplasia (HD) leads to premature osteoarthritis. Timely detection and correction of HD has been shown to improve pain, functional status, and hip longevity. Several time-consuming radiological measurements are currently used to confirm HD. A
Externí odkaz:
https://doaj.org/article/f4ff5c9d311149818cd2fd535a0ebc59
Autor:
Mylène P Jansen, Christoph Salzlechner, Eleanor Barnes, Matthew D DiFranco, Roel J H Custers, Fiona E Watt, Tonia L Vincent, Simon C Mastbergen
Objectives Knee joint distraction (KJD) has been associated with clinical and structural improvement and SF marker changes. The current objective was to analyse radiographic changes after KJD using an automatic artificial intelligence-based measureme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::915e3cd9e42137c7d136d51f223592f4
http://hdl.handle.net/10044/1/102439
http://hdl.handle.net/10044/1/102439
Autor:
Sebastian Simon, Allan Hummer, Alexander Aichmair, Bernhard J.H. Frank, Gilbert M. Schwarz, Martin Dominkus, Matthew D. DiFranco, Jochen G. Hofstaetter
Publikováno v:
Skeletal radiology. 51(6)
Accurate assessment of knee alignment and leg length discrepancy is currently measured manually from standing long-leg radiographs (LLR), a process that is both time consuming and poorly reproducible. The aim was to assess the performance of a commer
Autor:
Thomas Angeli, Gobert von Skrbensky, Matthew D. DiFranco, Constantin E. Dlaska, Reinhard Windhager, Gerhard M. Hobusch, Emir Benca
Publikováno v:
Clinical biomechanics (Bristol, Avon). 74
Background Acetabular labral tears are managed with suture anchors providing good clinical outcomes. Knotless anchors are easier to use and have a quicker insertion time compared to knotted anchors. The purpose of this study was to compare the biomec
Autor:
Attila, Forgács, Monika, Béresová, Ildikó, Garai, Martin L, Lassen, Thomas, Beyer, Matthew D, DiFranco, Ervin, Berényi, László, Balkay
Publikováno v:
Physics in medicine and biology. 64(12)
Quantifying tumour heterogeneity from [
Autor:
Petra Rust, Andreas Stadlbauer, Marius E. Mayerhoefer, Marcus Hacker, Ivo Rausch, Martin Lyngby Lassen, Thomas Beyer, Markus Hartenbach, Matthew D. DiFranco
Publikováno v:
Journal of Nuclear Medicine. 57:1096-1101
The aim of this study was to assess the reproducibility of standard, Dixon-based attenuation correction (MR-AC) in PET/MR imaging. A further aim was to estimate a patient-specific lean body mass (LBM) from these MR-AC data. Methods: Ten subjects were
Autor:
Thomas Beyer, Attila Forgács, Matthew D. DiFranco, Monika Béresová, Ervin Berényi, Ildikó Garai, László Balkay, Martin Lyngby Lassen
Publikováno v:
Physics in Medicine & Biology. 64:125016
Quantifying tumour heterogeneity from [18F]FDG-PET images promises benefits for treatment selection of cancer patients. Here, the calculation of texture parameters mandates an initial discretization step (binning) to reduce the number of intensity le