scholarly journals Three-Dimensional Stereoscopic Volume Rendering of Malignant Pleural Mesothelioma

2012 ◽  
Vol 97 (1) ◽  
pp. 65-70 ◽  
Author(s):  
Nathan M Mollberg ◽  
Nigel M Parsad ◽  
Samuel G Armato ◽  
Janani Vigneswaran ◽  
Hedy L Kindler ◽  
...  
Keyword(s):  
Malignant Pleural Mesothelioma ◽  
Volume Rendering ◽  
Accurate Determination ◽  
Three Dimensional ◽  
Volumetric Analysis ◽  
Preoperative Imaging ◽  
Multidetector Row Computed Tomography ◽  
Pleural Mesothelioma ◽  
Data Sets ◽  
Ct Data

Abstract Our objective was to investigate the application of three-dimensional (3D) stereoscopic volume rendering with perceptual colorization on preoperative imaging for malignant pleural mesothelioma. At present, we have prospectively enrolled 6 patients being considered for resection of malignant pleural mesothelioma that have undergone a multidetector-row computed tomography (CT) scan of the chest. The CT data sets were volume rendered without preprocessing. The resultant 3D rendering was displayed stereoscopically and used to provide information regarding tumor extent, morphology, and anatomic involvement. To demonstrate this technique, this information was compared with the corresponding two-dimensional CT grayscale axial images from two of these patients. Three-dimensional stereoscopic reconstructions of the CT data sets provided detailed information regarding the local extent of tumor that could be used for preoperative surgical planning. Three-dimensional stereoscopic volume rendering for malignant pleural mesothelioma is a novel approach. Combined with our innovative perceptual colorization algorithm, stereoscopic volumetric analysis potentially allows for the accurate determination of the extent of pleural mesothelioma with results difficult to duplicate using grayscale, multiplanar CT images.

Computer-assisted Diagnosis for Early Stage Pleural Mesothelioma

2007 ◽  
Vol 46 (03) ◽  
pp. 324-331 ◽  
Author(s):  
P. Jäger ◽  
S. Vogel ◽  
A. Knepper ◽  
T. Kraus ◽  
T. Aach ◽  
...  
Keyword(s):  
Early Stage ◽  
Computation Time ◽  
Hounsfield Unit ◽  
Computer Assisted ◽  
Clinical Test ◽  
Pleural Mesothelioma ◽  
Data Sets ◽  
Data Set ◽  
Average Computation Time ◽  
Ct Data

Summary Objectives: Pleural thickenings as biomarker of exposure to asbestos may evolve into malignant pleural mesothelioma. Foritsearly stage, pleurectomy with perioperative treatment can reduce morbidity and mortality. The diagnosis is based on a visual investigation of CT images, which is a time-consuming and subjective procedure. Our aim is to develop an automatic image processing approach to detect and quantitatively assess pleural thickenings. Methods: We first segment the lung areas, and identify the pleural contours. A convexity model is then used together with a Hounsfield unit threshold to detect pleural thickenings. The assessment of the detected pleural thickenings is based on a spline-based model of the healthy pleura. Results: Tests were carried out on 14 data sets from three patients. In all cases, pleural contours were reliably identified, and pleural thickenings detected. PC-based Computation times were 85 min for a data set of 716 slices, 35 min for 401 slices, and 4 min for 75 slices, resulting in an average computation time of about 5.2 s per slice. Visualizations of pleurae and detected thickeningswere provided. Conclusion: Results obtained so far indicate that our approach is able to assist physicians in the tedious task of finding and quantifying pleural thickenings in CT data. In the next step, our system will undergo an evaluation in a clinical test setting using routine CT data to quantifyits performance.

The Use of Data Explorer as a 3-D Reconstruction Tool for Microscopy Data Sets

1997 ◽  
Vol 3 (S2) ◽  
pp. 1131-1132
Author(s):  
Jansma P.L ◽  
M.A. Landis ◽  
L.C. Hansen ◽  
N.C. Merchant ◽  
N.J. Vickers ◽  
...  
Keyword(s):  
Volume Rendering ◽  
Laser Scanning ◽  
Three Dimensional ◽  
Building Blocks ◽  
General Purpose ◽  
Data Sets ◽  
Laser Scanning Confocal Microscope ◽  
Use Of Data ◽  
Using Data ◽  
Microscopy Data

We are using Data Explorer (DX), a general-purpose, interactive visualization program developed by IBM, to perform three-dimensional reconstructions of neural structures from microscopic or optical sections. We use the program on a Silicon Graphics workstation; it also can run on Sun, IBM RS/6000, and Hewlett Packard workstations. DX comprises modular building blocks that the user assembles into data-flow networks for specific uses. Many modules come with the program, but others, written by users (including ourselves), are continually being added and are available at the DX ftp site, http://www.tc.cornell.edu/DXhttp://www.nice.org.uk/page.aspx?o=43210.Initally, our efforts were aimed at developing methods for isosurface- and volume-rendering of structures visible in three-dimensional stacks of optical sections of insect brains gathered on our Bio-Rad MRC-600 laser scanning confocal microscope. We also wanted to be able to merge two 3-D data sets (collected on two different photomultiplier channels) and to display them at various angles of view.

Automated Three-dimensional Volume Rendering of Helical Computed Tomographic Angiography for Aneurysms: An Advanced Application of Neuronavigation Technology

2005 ◽  
Vol 57 (suppl_1) ◽  
pp. 69-77 ◽  
Author(s):  
Lucia Benvenuti ◽  
Salvatore Chibbaro ◽  
Stefano Carnesecchi ◽  
Flavio Pulerà ◽  
Rolando Gagliardi
Keyword(s):  
Digital Subtraction Angiography ◽  
Ct Angiography ◽  
Volume Rendering ◽  
Intracranial Aneurysms ◽  
Surgical Navigation ◽  
Three Dimensional ◽  
Helical Ct ◽  
Data Sets ◽  
Digital Subtraction ◽  
Computed Tomographic

Abstract OBJECTIVE: To introduce the possibility of volume-rendered helical computed tomographic (CT) angiographic data sets by use of Medtronic StealthStation Treon surgical navigation technology (Medtronic Surgical Navigation Technologies, Louisville, CO) and to evaluate the clinical usefulness of the method in planning and performing surgical treatment of intracranial aneurysms. METHODS: Between November 2002 and July 2003, we studied 15 patients with suspected intracranial aneurysms. All patients but two received conventional digital subtraction angiography, which failed to provide the requested information. Helical CT angiography was performed in all patients, and data sets were transferred to the StealthStation system across an electronic network to be automatically postprocessed by use of three-dimensional (3-D) volume rendering. The 3-D volume-rendered images were accurately analyzed to obtain more complete information about the aneurysm and to provide accurate treatment planning. In all patients, the 3-D volume-rendered model was displayed on the screen of the StealthStation system for the duration of the surgical procedure and compared with the intraoperative image. RESULTS: Data sets from CT angiography were automatically postprocessed by the StealthStation in seconds with excellent results, providing us, before and during surgery, with additional information not always available on traditional digital subtraction angiographic investigation. Because of the very short time necessary to complete this process (<5 min to obtain 3-D volume-rendered images), it was possible to perform emergency clipping of the aneurysms in two patients who had been admitted in very compromised neurological conditions. In 12 patients, integrated digital subtraction angiography and automated 3-D volume-rendered images allowed an accurate presurgical evaluation. Furthermore, in all patients on whom surgery was performed, aneurysms were found in the exact location and with the same anatomic features as depicted by the 3-D volume-rendered models. CONCLUSION: Reports in the literature indicate that information gathered by CT angiography with volume rendering shows a significant impact on aneurysm management. The StealthStation system upgraded with the adequate algorithm seems to provide a time- and cost-effective method of performing automated 3-D volume rendering of CT angiography and provides an interesting alternative to the available investigation modalities in case of emergency.

scholarly journals Involvement of the M-CSF/IL-34/CSF-1R pathway in malignant pleural mesothelioma

2020 ◽  
Vol 8 (1) ◽  
pp. e000182 ◽  
Author(s):  
Thibaut Blondy ◽  
Sènan Mickael d'Almeida ◽  
Tina Briolay ◽  
Julie Tabiasco ◽  
Clément Meiller ◽  
...  
Keyword(s):  
Malignant Pleural Mesothelioma ◽  
Tumor Antigen ◽  
Cell Clone ◽  
Asbestos Exposure ◽  
Three Dimensional ◽  
The Cancer Genome Atlas ◽  
Pleural Mesothelioma ◽  
Clinical Databases ◽  
T Cell Clone ◽  
Coculture Model

BackgroundMalignant pleural mesothelioma (MPM) is a rare and aggressive cancer related to asbestos exposure. The tumor microenvironment content, particularly the presence of macrophages, was described as crucial for the development of the disease. This work aimed at studying the involvement of the M-CSF (CSF-1)/IL-34/CSF-1R pathway in the formation of macrophages in MPM, using samples from patients.MethodsPleural effusions (PEs), frozen tumors, primary MPM cells and MPM cell lines used in this study belong to biocollections associated with clinical databases. Cytokine expressions were studied using real-time PCR and ELISA. The Cancer Genome Atlas database was used to confirm our results on an independent cohort. An original three-dimensional (3D) coculture model including MPM cells, monocytes from healthy donors and a tumor antigen-specific cytotoxic CD8 T cell clone was used.ResultsWe observed that high interleukin (IL)-34 levels in PE were significantly associated with a shorter survival of patients. In tumors, expression of CSF1 was correlated with ‘M2-like macrophages’ markers, whereas this was not the case with IL34 expression, suggesting two distinct modes of action of these cytokines. Expression of IL34 was higher in MPM cells compared with primary mesothelial cells. Particularly, high expression of IL34 was observed in MPM cells with an alteration of CDKN2A. Finally, using 3D coculture model, we demonstrated the direct involvement of MPM cells in the formation of immunosuppressive macrophages, through activation of the colony stimulating factor-1 receptor (CSF1-R) pathway, causing the inhibition of cytotoxicity of tumor antigen-specific CD8+ T cells.ConclusionsThe M-CSF/IL-34/CSF-1R pathway seems strongly implicated in MPM and could constitute a therapeutic target to act on immunosuppression and to support immunotherapeutic strategies.

Atlas-based Recognition of Anatomical Structures and Landmarks and the Automatic Computation of Orthopedic Parameters

2004 ◽  
Vol 43 (04) ◽  
pp. 391-397 ◽  
Author(s):  
H. Handels ◽  
W. Plötz ◽  
S. J. Pöppl ◽  
J. Ehrhardt
Keyword(s):  
Three Dimensional ◽  
Data Sets ◽  
Anatomical Landmarks ◽  
Landmark Detection ◽  
Virtual Planning ◽  
Automatic Computation ◽  
Registration Algorithm ◽  
Anatomical Point ◽  
Ct Data ◽  
Bone Structures

Summary Objective: This paper describes methods for the automatic atlas-based segmentation of bone structures of the hip, the automatic detection of anatomical point landmarks and the computation of orthopedic parameters to avoid the interactive, time-consuming preprocessing steps for the virtual planning of hip operations. Methods: Based on the CT data of the Visible Human Data Sets, two three-dimensional atlases of the human pelvis have been built. The atlases consist of labeled CT data sets, 3D surface models of the separated structures and associated anatomical point landmarks. The atlas information is transferred to the patient data by a non-linear gray value-based registration algorithm. A surface-based registration algorithm was developed to detect the anatomical landmarks on the patient’s bone structures. Furthermore, a software tool for the automatic computation of orthopedic parameters is presented. Finally, methods for an evaluation of the atlas-based segmentation and the atlas-based landmark detection are explained. Results: A first evaluation of the presented atlas-based segmentation method shows the correct labeling of 98.5% of the bony voxels. The presented landmark detection algorithm enables the precise and reliable localization of orthopedic landmarks. The accuracy of the landmark detection is below 2.5 mm. Conclusion: The atlas-based segmentation of bone structures, the atlas-based landmark detection and the automatic computation of orthopedic measures are suitable to essentially reduce the time-consuming user interaction during the pre-processing of the CT data for the virtual three-dimensional planning of hip operations.

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