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Automatic detection of subsolid pulmonary nodules in thoracic computed tomography images

Colin Jacobs, Eva M. van Rikxoort, Thorsten Twellmann, Ernst Th. Scholten, Pim A. de Jong, Jan-Martin Kuhnigk, Matthijs Oudkerk, Harry J. de Koning, Mathias Prokop, Cornelia Schaefer-Prokop, Bram van Ginneken
2014 Medical Image Analysis  
This allows for a presumptive diagnosis and an approximate prognosis, on which we can base decisions on therapeutic management and follow-up procedures  ...  In recent years, detection of pulmonary nodules has increased as a result of the use of multislice computed tomography (MSCT) and the implementation of lung cancer screening programs with low-dose computed  ...  In February 2011, a new ACA classification was published using a multidisciplinary approach, based on the joint work of the International Association for the Study of Lung Cancer, the American Thoracic  ... 
doi:10.1016/ pmid:24434166 fatcat:qzftob7qvnho3gxombuwecqt4e

Computer analysis of computed tomography scans of the lung: a survey

I. Sluimer, A. Schilham, M. Prokop, B. van Ginneken
2006 IEEE Transactions on Medical Imaging  
This paper presents a review of the literature on computer analysis of the lungs in CT scans and addresses segmentation of various pulmonary structures, registration of chest scans, and applications aimed  ...  at detection, classification and quantification of chest abnormalities.  ...  on multislice CT data sets.  ... 
doi:10.1109/tmi.2005.862753 pmid:16608056 fatcat:q5ysngkgozbbrfwn7tbb2fvunu

Classification Algorithm-Based CT Imaging in Diagnosis of Acute Respiratory Distress Syndrome and Analysis of Pathogenic Factors

Liang Chen, Qiong Li, Gustavo Ramirez
2021 Scientific Programming  
The study focused on the application value of classification algorithms in processing CT images of acute respiratory distress syndrome (ARDS) and aimed to analyze the pathogenic factors of ARDS.  ...  In conclusion, the FWAC algorithm has a good classification ability of the CT images of ARDS and demonstrates high accuracy.  ...  Accuracy Comparison of Classification Algorithms. Figure 5 shows the CT images of the lung.  ... 
doi:10.1155/2021/4100856 fatcat:wsjueb6chbfyxgdsicltc3oube

Automatic segmentation and recognition of anatomical lung structures from high-resolution chest CT images

Xiangrong Zhou, Tatsuro Hayashi, Takeshi Hara, Hiroshi Fujita, Ryujiro Yokoyama, Takuji Kiryu, Hiroaki Hoshi
2006 Computerized Medical Imaging and Graphics  
A sequential region-splitting process is used to segment lungs, airway of bronchus, lung lobes and fissures based on the anatomical structures and statistical intensity distributions in CT images.  ...  The performance of our scheme is evaluated by segmenting lung structures from high-resolution multi-slice chest CT images from 44 patients; the validity of our method was proved by preliminary experimental  ...  Acknowledgements The authors thank the members of Fujita's Laboratory and the Virtual System Laboratory (VSL) of Gifu University for their collaboration.  ... 
doi:10.1016/j.compmedimag.2006.06.002 pmid:16920331 fatcat:tz3mv7qv5zccnkocchdzab75di

Correlation of radio- and histomorphological pattern of pulmonary adenocarcinoma

Mathieu Lederlin, Michael Puderbach, Thomas Muley, Philipp A. Schnabel, Albrecht Stenzinger, Hans-Ulrich Kauczor, Claus Peter Heussel, Felix J. F. Herth, Hans Hoffmann, Hendrik Dienemann, Wilko Weichert, Arne Warth
2012 European Respiratory Journal  
Recently, a novel classification system based on tumour architecture and with high prognostic impact has been proposed for pulmonary adenocarcinomas (ADCs).  ...  These data may form the basis for the development of future prognostic algorithms in the palliative setting, which include an integrated evaluation of biopsy histomorphology and CT scan morphology of nonresectable  ...  Based on this cohort, our picture archiving and communication system (PACS) was screened for available pre-operative multislice CT scans. This resulted in 174 evaluable cases.  ... 
doi:10.1183/09031936.00056612 pmid:22835610 fatcat:nt7xvsp7dvdjpntndjmhxphyyy

CT Image Features of the FBP Reconstruction Algorithm in the Evaluation of Fasting Blood Sugar Level of Diabetic Pulmonary Tuberculosis Patients and Early Diet Nursing

Lili Hong, Liling Lin, Jingping Chen, Biyu Wu, Osamah Ibrahim Khalaf
2021 Computational and Mathematical Methods in Medicine  
It suggested that the changes of CT images based on the FBP reconstruction algorithm were correlated with fasting blood glucose level.  ...  The study was aimed at exploring the application value of the CT image based on a filtered back projection (FBP) algorithm in the diagnosis of patients with diabetes complicated with tuberculosis and at  ...  CT Imaging. X-ray is a way for CT to obtain information on the internal structure of the human body.  ... 
doi:10.1155/2021/1101930 pmid:34840593 pmcid:PMC8616654 fatcat:ozcuortxjbgjzeepnw7gt6zdx4

Utility of 18F-FDG PET/CT in the assessment of lymphoepithelioma-like carcinoma

Hiu Yan Chan, Adelina Tsoi, Maria Pik Wong, James C.M. Ho, Elaine Yuen Phin Lee
2016 Nuclear medicine communications  
Although the features on 18 F-FDG PET/CT are not specific, 18 FDG PET/CT offers valuable information on disease management of LELC.  ...  Methods: We reviewed 7 patients with histologically proven LELC who underwent 18 F-FDG PET/CT for disease evaluation.  ...  All examinations were performed using dedicated PET/CT scanner (Discovery VCT, 64-multislice CT, GE Healthcare Bio-Sciences Corp.), covering from the skull base to the upper thighs.  ... 
doi:10.1097/mnm.0000000000000475 pmid:26741291 fatcat:sdvq7u7ppbcazeu335sxhopcw4

Pulmonary Emphysema Regional Distribution and Extent Assessed by Chest Computed Tomography Is Associated With Pulmonary Function Impairment in Patients With COPD

Plácido Gomes, Hélder Novais e Bastos, André Carvalho, André Lobo, Alan Guimarães, Rosana Souza Rodrigues, Walter Araujo Zin, Alysson Roncally S. Carvalho
2021 Frontiers in Medicine  
and assessed its regional distribution based on an artificial neural network (ANN) trained for this purpose.  ...  , who presented radiological evidence of emphysema on visual CT inspection were retrospectively enrolled.  ...  One-way ANOVA was used to compare the variables among the Global Initiative for Chronic Obstructive Lung Disease (GOLD) severity subgroups.  ... 
doi:10.3389/fmed.2021.705184 pmid:34631729 pmcid:PMC8494782 fatcat:xlg5dhyvfvg3bdrd4ue3g5ytce

Computed tomography and pathology evaluation of lung ground‑glass opacity

Hualong Yu, Shihe Liu, Chuanyu Zhang, Shaoke Li, Jianan Ren, Jingli Zhang, Wenjian Xu
2018 Experimental and Therapeutic Medicine  
Computed tomography (CT) images of 106 lung GGO cases were analyzed retrospectively, and the type, location, size, structure, boundaries and surrounding lung fields were evaluated.  ...  The aim of this study was to investigate the pathogenesis of lung ground-glass opacity (GGO) and the diagnostic value of computed tomography scan for lung GGO.  ...  Acknowledgements The authors would like to thank Professor Jizheng Lin from the Department of Radiology, Affiliated Hospital of  ... 
doi:10.3892/etm.2018.6886 pmid:30542487 pmcid:PMC6257275 fatcat:mhlfmi3xujdcnm42qlv2qpqs7i

Computed Tomography Studies of Lung Mechanics

B. A. Simon
2005 Proceedings of the American Thoracic Society online  
This review presents an overview of CT measurement principles and limitations for the study of regional mechanics, reviews some of the early work that set the stage for modern imaging approaches and impacted  ...  the understanding and management of patients with acute lung injury, and presents evolving novel approaches for the analysis and application of dynamic volumetric lung image data.  ...  CT-based measures of lung mechanical function rely on one of two principles, both of which are discussed in detail below.  ... 
doi:10.1513/pats.200507-076ds pmid:16352757 pmcid:PMC2713339 fatcat:b6pc6smdwbe7tkk6w52madglay

Computed Tomography Images under Deep Learning Algorithm in the Diagnosis of Perioperative Rehabilitation Nursing for Patients with Lung Cancer

Sha Yan, Qin Huang, Siying Yu, Zhenxing Liu, Gustavo Ramirez
2022 Scientific Programming  
This study aim was to explore the application effect of computed tomography (CT) image segmentation based on deep learning algorithm in the diagnosis of lung cancer.  ...  In summary, the HFFM constructed in this study can be used for segmentation and classification of CT images of lung cancer patients, which can improve the accuracy of diagnosis and help improve the lung  ...  Methods CT Segmentation of Lung Cancer Based on Deep Learning. e current methods used for medical image segmentation processing are mainly divided into techniques based on manual features and depth features  ... 
doi:10.1155/2022/8685604 fatcat:uqkvocj7mjfalh2hlurcsny2ma

Pulmonary Airways: 3-D Reconstruction From Multislice CT and Clinical Investigation

C.I. Fetita, F. Preteux, C. Beigelman-Aubry, P. Grenier
2004 IEEE Transactions on Medical Imaging  
It relies on an energy-based three-dimensional (3-D) reconstruction of the bronchial tree from multislice CT acquisitions, up to the sixthto seventh-order subdivisions.  ...  In the framework of computer-aided diagnosis, this paper proposes a novel functionality for the computerized tomography (CT)-based investigation of the pulmonary airways.  ...  Perchet for her help in selecting the endoluminal views illustrating this paper.  ... 
doi:10.1109/tmi.2004.826945 pmid:15554124 fatcat:yxw2fgm35bh6difnr5qhfoc7ta

High-Resolution CT of the Lung: Patterns of Disease and Differential Diagnoses

Michael B. Gotway, Gautham P. Reddy, W. Richard Webb, Brett M. Elicker, Jessica W.T. Leung
2005 The Radiologic clinics of North America  
Classification of emphysema: approach using high-resolution CT.  ...  (B) Axial HRCT image through the lung bases shows subpleural reticulation (arrow), suggestive of fibrotic lung disease.  ... 
doi:10.1016/j.rcl.2005.01.010 pmid:15847814 fatcat:qdefcjnbnbeddjgfjs3jion2oq

Modern Diagnosis in the Evaluation of Pulmonary Vascular Disease [chapter]

Alexander A. Bankier, Carole Dennie
2019 Communications in Computer and Information Science  
Optimized Evaluation of Pulmonary Vessels on Chest CT Examinations Temporal Resolution of Pulmonary CT Angiograms Given the anatomical complexity of the lungs, the most crucial prerequisite for optimal  ...  In general clinical routine, however, CT remains the imaging modality of choice for evaluation of patients with suspected pulmonary vascular disease.  ...  This is based on the following: Among the various imaging modalities available in recent decades, com-puted tomography (CT) has remained the core technique for evaluating respiratory disorders.  ... 
doi:10.1007/978-3-030-11149-6_17 fatcat:elubym7czfelneo25vubkzgg4u

Computed Tomography Screening for Lung Cancer: Principles and Results

C. I. Henschke
2005 Clinical Cancer Research  
Although it is generally accepted that low-dose computed tomography (CT) screening leads to early diagnosis of lung cancer in a high percentage of the cases, the logical consequence of the current knowledge  ...  In modern healthcare, one of the most public, most important, and at the same time complicated and scientifically demanding topics is screening for a cancer.  ...  Based on this evidence, annual CT screening provides for detecting the disease at earlier and presumably more commonly curable stages in a cost-effective manner (10).  ... 
doi:10.1158/1078-0432.ccr-05-9014 pmid:16000600 fatcat:kqjw2dn7mjfzbptlprroo6le54
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