Results 121 to 130 of about 216,080 (283)

Dataset of quantitative structured office measurements of movements in the extremities

Data in Brief, 2020
A low-cost quantitative structured office measurement of movements in the extremities of people with Parkinson's disease [1,2] was performed on people with Parkinson's disease, multiple system atrophy, and age-matched healthy volunteers.
Timothy P. Harrigan, Brian J. Hwang, Anil K. Mathur, Kelly A. Mills, Alexander Y. Pantelyat, Jee A. Bang, Alveena B. Syed, Pankhuri Vyas, Samuel D. Martin, Armaan Jamal, Liran Ziegelman, Manuel E. Hernandez, Dean F. Wong, James Robert Brašić   +13 more
doaj  

Frequency and Early Predictors of Cognitive Deterioration in Amyotrophic Lateral Sclerosis: A Longitudinal Population‐Based Study

Annals of Neurology, EarlyView.
Objective The objective is to evaluate cognitive and behavioral progression and identify early predictors of these changes in a cohort of amyotrophic lateral sclerosis (ALS) patients. Methods A total of 161 ALS patients were tested at diagnosis (T0), and 107 were re‐tested after 1 year (T1) using cognitive/behavioral tests. All patients underwent whole‐
Barbara Iazzolino, Francesca Palumbo, Cristina Moglia, Umberto Manera, Maurizio Grassano, Enrico Matteoni, Sara Cabras, Maura Brunetti, Rosario Vasta, Marco Pagani, Gabriele Mora, Antonio Canosa, Andrea Calvo, Adriano Chiò   +13 more
wiley   +1 more source

Combination of Deauville score and quantitative positron emission tomography parameters as a predictive tool of anti‐CD19 chimeric antigen receptor T‐cell efficacy

Cancer, Volume 129, Issue 2, Page 255-263, 15 January 2023., 2023
Abstract Background Autologous anti‐CD19 chimeric antigen receptor (CAR) T‐cell therapy is an effective treatment for approximately 40% of relapsed/refractory large B cell lymphomas (LBCL), and early identification of patients at risk for relapse or progression after CAR T‐cell therapy represents a clinical need.
Anna Guidetti, Anna Dodero, Alice Lorenzoni, Sara Pizzamiglio, Giovanni Argiroffi, Annalisa Chiappella, Filippo Bagnoli, Vincenzo Marasco, Cristiana Carniti, Chiara Monfrini, Ettore Seregni, Martina Pennisi, Paolo Verderio, Alessandra Alessi, Paolo Corradini   +14 more
wiley   +1 more source

Regional Cerebral Atrophy Contributes to Personalized Survival Prediction in Amyotrophic Lateral Sclerosis: A Multicentre, Machine Learning, Deformation‐Based Morphometry Study

Annals of Neurology, EarlyView.
Objective Accurate personalized survival prediction in amyotrophic lateral sclerosis is essential for effective patient care planning. This study investigates whether grey and white matter changes measured by magnetic resonance imaging can improve individual survival predictions.
Isabelle Lajoie, Canadian ALS Neuroimaging Consortium (CALSNIC), Sanjay Kalra, Mahsa Dadar   +3 more
wiley   +1 more source

Prognostic significance of tumor microenvironment assessed by machine learning algorithm in surgically resected non‐small cell lung cancer

Cancer Reports, EarlyView., 2023
Abstract Background A methodology to assess the immune microenvironment (IME) of non‐small cell lung cancer (NSCLC) has not been established, and the prognostic impact of IME factors is not yet clear. Aims This study aimed to assess the IME factors and evaluate their prognostic values. Methods and Results We assessed CD8+ tumor‐infiltrating lymphocyte (
Yukihiro Terada, Mitsuhiro Isaka, Akira Ono, Takuya Kawata, Masakuni Serizawa, Keita Mori, Koji Muramatsu, Kiyoshi Tone, Hirotsugu Kenmotsu, Keiichi Ohshima, Kenichi Urakami, Takeshi Nagashima, Masatoshi Kusuhara, Yasuto Akiyama, Takashi Sugino, Toshiaki Takahashi, Yasuhisa Ohde   +16 more
wiley   +1 more source

Signs of Cortical Inflammation in Migraine Measured with Quantitative Magnetic Resonance Imaging: A Registry for Migraine (REFORM) Study

Annals of Neurology, EarlyView.
Objective The involvement of cortical inflammation in migraine, particularly migraine with aura, has been a subject of considerable interest, but has proved challenging to demonstrate. We aimed to detect and characterize signs of cortical inflammation in adults with migraine using a novel, multimodal magnetic resonance imaging (MRI) technique.
Rune H. Christensen, Håkan Ashina, Haidar M. Al‐Khazali, Mario Ocampo‐Pineda, Reza Rahmanzadeh, Nouchine Hadjikhani, Cristina Granziera, Faisal Mohammad Amin, Messoud Ashina   +8 more
wiley   +1 more source

Measurement of myocardial blood flow with positron emission tomography: Correction for count spillover and partial volume effects

, 1988
Pilar Herrero, Joanne Markham, Donald W. Myears, Carla J. Weinheimer, Steven R. Bergmann   +4 more
openalex   +1 more source

Role of the human anterior cingulate cortex in the control of oculomotor, manual, and speech responses: a positron emission tomography study [PDF]

, 1993
T. Paus, Michael Petrides, Alan C. Evans, E. Meyer   +3 more
openalex   +1 more source

Brain Metabolic Features of FUS‐ALS: A 2‐[18F]FDG‐PET Study

Annals of Neurology, EarlyView.
Objective We aimed at evaluating the brain metabolic features of fused in sarcoma amyotrophic lateral sclerosis (FUS‐ALS) compared with sporadic ALS (sALS), using 2‐[fluorine‐18] fluoro‐2‐deoxy‐D‐glucose positron emission tomography (2‐[18F]FDG‐PET). Methods We employed the 2‐sample t‐test model of SPM12, implemented in MATLAB, to compare 12 FUS‐ALS ...
Antonio Canosa, Umberto Manera, Rosario Vasta, Grazia Zocco, Francesca Di Pede, Sara Cabras, Filippo De Mattei, Francesca Palumbo, Barbara Iazzolino, Emilio Minerva, Luca Sbaiz, Maura Brunetti, Salvatore Gallone, Maurizio Grassano, Enrico Matteoni, Giulia Polverari, Giuseppe Fuda, Federico Casale, Paolina Salamone, Giovanni De Marco, Giulia Marchese, Cristina Moglia, Andrea Calvo, Marco Pagani, Adriano Chiò   +24 more
wiley   +1 more source

Quantitative measurement of renal plasma flow by positron emission tomography with oxygen-15 water.

, 1989
Tadashi INABA, Masato Yamashita, Yoshio Kawase, Hisamitsu Nakahashi, Hiroki Watanabe   +4 more
openalex   +2 more sources