Results 31 to 40 of about 1,518,046 (295)

Diagnosis of Intra-Abdominal Extralobar Pulmonary Sequestration by means of Ultrasound in a Neonate

Case Reports in Pediatrics, 2013
Pulmonary sequestration is a congenital abnormality consisting of a mass of pulmonary tissue that presents an abnormal connection with the tracheobronchial tree, with a blood supply coming from an anomalous artery derived from the systemic circulation ...
Claudio Rodrigues Pires, Adriano Czapkowski, Edward Araujo Júnior, Sebastião Marques Zanforlin Filho   +3 more
doaj   +1 more source

Terahertz Computed Tomography of NASA Thermal Protection System Materials [PDF]

, 2012
A terahertz axial computed tomography system has been developed that uses time domain measurements in order to form cross-sectional image slices and three-dimensional volume renderings of terahertz-transparent materials. The system can inspect samples as
Rauser, R. W., Reyes-Rodriguez, S., Roth, D. J., Ussery, W. W., Zimdars, D. A.   +4 more
core   +2 more sources

CT Radiomics Combined With Clinicopathological Features to Predict Invasive Mucinous Adenocarcinoma in Patients With Lung Adenocarcinoma

Technology in Cancer Research & Treatment, 2023
Objective: This study aimed to develop and validate predictive models using clinical parameters, radiomic features, and a combination of both for invasive mucinous adenocarcinoma (IMA) of the lung in patients with lung adenocarcinoma.
Junjie Zhang MD, Ligang Hao MD, Min Li MD, Qian Xu MD, Gaofeng Shi MD   +4 more
doaj   +1 more source

Markov random field segmentation for industrial computed tomography with metal artefacts [PDF]

, 2018
X-ray Computed Tomography (XCT) has become an important tool for industrial measurement and quality control through its ability to measure internal structures and volumetric defects.
Bhalerao, Abhir, Jaiswal, Avinash, Tiwari, Manoj K., Warnett, Jason M., Williams, M. A.   +4 more
core   +1 more source

Synergizing traditional CT imaging with radiomics: a novel model for preoperative diagnosis of gastric neuroendocrine and mixed adenoneuroendocrine carcinoma

Frontiers in Oncology
ObjectiveTo develop diagnostic models for differentiating gastric neuroendocrine carcinoma (g-NEC) and gastric mixed adeno-neuroendocrine carcinoma (g-MANEC) from gastric adenocarcinoma (g-ADC) based on traditional contrast enhanced CT imaging features ...
Xiaoxiao He, Sujun Yang, Jialiang Ren, Ning Wang, Min Li, Yang You, Yang Li, Yu Li, Gaofeng Shi, Li Yang   +9 more
doaj   +1 more source

Fixing Nonconvergence of Algebraic Iterative Reconstruction with an Unmatched Backprojector [PDF]

, 2019
We consider algebraic iterative reconstruction methods with applications in image reconstruction. In particular, we are concerned with methods based on an unmatched projector/backprojector pair; i.e., the backprojector is not the exact adjoint or ...
Dong, Yiqiu, Hansen, Per Christian, Hochstenbach, Michiel E., Riis, Nicolai Andre Brogaard   +3 more
core   +3 more sources

A Cre‐dependent lentiviral vector for neuron subtype‐specific expression of large proteins

FEBS Letters, EarlyView.
We designed a versatile and modular lentivector comprising a Cre‐dependent switch and self‐cleaving 2A peptide and tested it for co‐expression of GFP and a 2.8 kb gene of interest (GOI) in mouse cortical parvalbumin (PV+) interneurons and midbrain dopamine (TH+) neurons.
Weixuan Xue, Sandrine Picaud, Régine Hepp, Stéphanie Pons, Uwe Maskos, Bertrand Lambolez, Ludovic Tricoire   +6 more
wiley   +1 more source

Multiscale correlative tomography: an investigation of creep cavitation in 316 stainless steel [PDF]

, 2017
Creep cavitation in an ex-service nuclear steam header Type 316 stainless steel sample is investigated through a multiscale tomography workflow spanning eight orders of magnitude, combining X-ray computed tomography (CT), plasma focused ion beam (FIB ...
A Delobbe, A Merkle, AA Wahab, AD Warren, C Gandhi, CL Briant, D Wei, F Tariq, G Haberfehlner, GD West, GJ Lloyd, H Jazaeri, HU Hong, KS Chan, KS Yu, M Lopez-Haro, ME Kassner, P Choquett, PA Midgley, PJ Bouchard, R Jones, R Leary, RF Li, S Kuchibhatla, T.L. Burnett, TF Kelly, TJA Slater, TJA Slater, TL Burnett, TL Burnett, W Guo, Z Jiang   +31 more
core   +2 more sources

A large‐scale retrospective study in metastatic breast cancer patients using circulating tumour DNA and machine learning to predict treatment outcome and progression‐free survival

Molecular Oncology, EarlyView.
There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes, Mario Ortega Duran, Solon Karapanagiotis, Alistair Martin, Meiling Gao, Riccardo Masina, Ramona Woitek, James Tanner, Fleur Tippin, Justine Kane, Jonathan Lay, Anja Brouwer, Stephen‐John Sammut, Suet‐Feung Chin, Davina Gale, Dana W. Y. Tsui, Sarah‐Jane Dawson, Nitzan Rosenfeld, Maurizio Callari, Oscar M. Rueda, Carlos Caldas   +20 more
wiley   +1 more source

Feasibility analysis of non-electrocardiogram-triggered chest low-dose computed tomography using a kV-independent reconstruction algorithm for predicting cardiovascular disease risk in patients receiving maintenance hemodialysis

BMC Cardiovascular Disorders
Objectives This study aimed to evaluate the feasibility and accuracy of non-electrocardiogram (ECG)-triggered chest low-dose computed tomography (LDCT) with a kV-independent reconstruction algorithm in assessing coronary artery calcification (CAC) degree
Xiangming Wang, Ao Liu, Yan Zhao, Xianbo Yu, Yushuo Cao, Min Li, Jing Liu, Yu Du, Li Yang   +8 more
doaj   +1 more source