The effect of interobserver differences in post-implant prostate CT image interpretation on dosimetric parameters

2003 ◽  
Vol 30 (6) ◽  
pp. 1096-1102 ◽  
Author(s):  
Ben H. Han ◽  
Kent Wallner ◽  
Gregory Merrick ◽  
Kas Badiozamani ◽  
Wayne Butler
2017 ◽  
Vol 35 (7) ◽  
pp. 398-403
Author(s):  
Atsutaka Okizaki ◽  
Michihiro Nakayama ◽  
Shunta Ishitoya ◽  
Kaori Nakajima ◽  
Masaaki Yamashina ◽  
...  

2013 ◽  
pp. 29-34 ◽  
Author(s):  
Jimmy Saunders ◽  
Tobias Schwarz

2011 ◽  
Vol 32 (7) ◽  
pp. 570-574 ◽  
Author(s):  
Dom-Gene Tu ◽  
Cheng-Ren Chen ◽  
Yu-Wen Wang ◽  
Chi-Wen Tu ◽  
Yung Cheng Huang

2019 ◽  
pp. 281-316
Author(s):  
Davide Caramella ◽  
Matteo Revelli ◽  
Alessandro Villa

2008 ◽  
Vol 5 (11) ◽  
pp. 1130-1136 ◽  
Author(s):  
Jeff L. Fidler ◽  
Robert L. MacCarty ◽  
Stephen J. Swensen ◽  
James E. Huprich ◽  
Warren G. Thompson ◽  
...  

2016 ◽  
Vol 27 (09) ◽  
pp. 1650106 ◽  
Author(s):  
Alessandro Bevilacqua ◽  
Serena Baiocco

Computed tomography (CT) technologies have been considered for a long time as one of the most effective medical imaging tools for morphological analysis of body parts. Contrast Enhanced CT (CE-CT) also allows emphasising details of tissue structures whose heterogeneity, inspected through visual analysis, conveys crucial information regarding diagnosis and prognosis in several clinical pathologies. Recently, Dynamic CE-CT (DCE-CT) has emerged as a promising technique to perform also functional hemodynamic studies, with wide applications in the oncologic field. DCE-CT is based on repeated scans over time performed after intravenous administration of contrast agent, in order to study the temporal evolution of the tracer in 3D tumour tissue. DCE-CT pushes towards an intensive use of computers to provide automatically quantitative information to be used directly in clinical practice. This requires that visual analysis, representing the gold-standard for CT image interpretation, gains objectivity. This work presents the first automatic approach to quantify and classify the lung tumour heterogeneities based on DCE-CT image sequences, so as it is performed through visual analysis by experts. The approach developed relies on the spatio-temporal indices we devised, which also allow exploiting temporal data that enrich the knowledge of the tissue heterogeneity by providing information regarding the lesion status.


2005 ◽  
Vol 19 (1) ◽  
pp. 58-62 ◽  
Author(s):  
Bruno Felipe Gaia ◽  
Andréia Perella ◽  
Ana Cláudia Ballet de Cara ◽  
José Leopoldo Ferreira Antunes ◽  
Marcelo Gusmão Paraiso Cavalcanti

The aim of this study was to evaluate the accuracy and reproducibility of computed tomography (CT) image interpretation made in axial slices (2D-CT) and 3D reconstructed images (3D-CT) of patients with craniofacial anomalies. The analyses were made by undergraduate dental students, and compared with the diagnoses considered upon surgical intervention. Computed tomography of 43 patients were analyzed independently by three calibrated examiners (undergraduate students) with, respectively, one, two, and three semesters of experience in craniofacial CT training and interpretation. The analysis of 2D-CT and 3D-CT images were performed at distinct times using an independent workstation associated with a specific computer graphics software for volumetric images. The analysis of inter-examiner agreement and of the agreement between observers and the gold standard was performed using the Kappa test. The accuracy evaluation presented a progressively higher value for examiners with progressively broader experience in 2D-CT and 3D-CT image interpretation. 3D-CT analyses allowed a higher inter-examiner agreement (1 - 0.896) than 2D-CT analyses (1 - 0.614). 3D-CT was considered more precise and accurate than 2D-CT for all students' evaluations. The reproducibility and accuracy varied according to the experience in CT interpretation, and the most experienced student achieved results closer to the gold standard.


2017 ◽  
Vol 58 (8) ◽  
pp. 1324-1329 ◽  
Author(s):  
Hiroshi Ohira ◽  
Brian Mc Ardle ◽  
Robert A. deKemp ◽  
Pablo Nery ◽  
Daniel Juneau ◽  
...  

Author(s):  
Mitsuo Ohtsuki ◽  
Michael Sogard

Structural investigations of biological macromolecules commonly employ CTEM with negative staining techniques. Difficulties in valid image interpretation arise, however, due to problems such as variability in thickness and degree of penetration of the staining agent, noise from the supporting film, and artifacts from defocus phase contrast effects. In order to determine the effects of these variables on biological structure, as seen by the electron microscope, negative stained macromolecules of high density lipoprotein-3 (HDL3) from human serum were analyzed with both CTEM and STEM, and results were then compared with CTEM micrographs of freeze-etched HDL3. In addition, we altered the structure of this molecule by digesting away its phospholipid component with phospholipase A2 and look for consistent changes in structure.


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