• Asian Pacific Journal of Cancer Prevention
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• v.15 no.9
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• pp.4085-4089
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• 2014

Background: Atelectasis is an important prognostic factor that can cause pleuritic chest pain, coughing or dyspnea, and even may be a cause of death. In this study, we aimed to investigate the potential impact of atelectasis and PET parameters on survival and the relation between atelectasis and PET parameters. Materials and Methods: The study consisted of patients with lung cancer with or without atelectasis who underwent $^{18}F$-FDG PET/CT examination before receiving any treatment. $^{18}F$-FDG PET/CT derived parameters including tumor size, SUVmax, SUVmean, MTV, total lesion glycosis (TLG), SUV mean of atelectasis area, atelectasis volume, and histological and TNM stage were considered as potential prognostic factors for overall survival. Results: Fifty consecutive lung cancer patients (22 patients with atelectasis and 28 patients without atelectasis, median age of 65 years) were evaluated in the present study. There was no relationship between tumor size and presence or absence of atelectasis, nor between presence/absence of atelectasis and TLG of primary tumors. The overall one-year survival rate was 83% and median survival was 20 months (n=22) in the presence of atelectasis; the overall one-year survival rate was 65.7% (n=28) and median survival was 16 months (p=0.138) in the absence of atelectasis. With respect to PFS; the one-year survival rate of AT+ patients was 81.8% and median survival was 19 months; the one-year survival rate of AT-patients was 64.3% and median survival was 16 months (p=0.159). According to univariate analysis, MTV, TLG and tumor size were significant risk factors for PFS and OS (p<0.05). However, SUVmax was not a significant factor for PFS and OS (p>0.05). Conclusions: The present study suggested that total lesion glycolysis and metabolic tumor volume were important predictors of survival in lung cancer patients, in contrast to SUVmax. In addition, having a segmental lung atelectasis seems not to be a significant factor on survival.

• Journal of the Korea Computer Graphics Society
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• v.28 no.1
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• pp.1-9
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• 2022

Non-small cell lung cancer (NSCLC) accounts for a high proportion of 85% among all lung cancer and has a significantly higher mortality rate (22.7%) compared to other cancers. Therefore, it is very important to predict the prognosis after surgery in patients with non-small cell lung cancer. In this study, the types of preoperative chest CT image patches for non-small cell lung cancer patients with tumor as a region of interest are diversified into five types according to tumor-related information, and performance of single classifier model, ensemble classifier model with soft-voting method, and ensemble classifier model using 3 input channels for combination of three different patches using pre-trained ResNet and EfficientNet CNN networks are analyzed through misclassification cases and Grad-CAM visualization. As a result of the experiment, the ResNet152 single model and the EfficientNet-b7 single model trained on the peritumoral patch showed accuracy of 87.93% and 81.03%, respectively. In addition, ResNet152 ensemble model using the image, peritumoral, and shape-focused intratumoral patches which were placed in each input channels showed stable performance with an accuracy of 87.93%. Also, EfficientNet-b7 ensemble classifier model with soft-voting method using the image and peritumoral patches showed accuracy of 84.48%.

• Tuberculosis and Respiratory Diseases
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• v.44 no.4
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• pp.742-755
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• 1997

Background : Endobronchial tuberculosis(ET) is still relatively common disease in Korea. We intended to evaluate the length of endobronchial lesion, peribronchial thickness, luminal irregularity and associated mediastinal lymph node enlargement with Chest CT to get information for such aggressive treatment as electrocautery, laser therapy and so on of bronchial stricture in ET, and also to compare the change of Chest CT finding with that of bronchoscopic finding after one month of anti-tuberculosis treatment. Method : We performed CT in 26 patients who were diagnosed as ET by bronchoscopy at Boramae Hospital from November 1991 to March 1996. After classifying ET into seven subtypes according to bronchoscopic finding, we analyzed the CT finding of each subtype. And we followed up the bronchoscopy, CT, and PIT after one month of anti-tuberculosis treatment, and compared the change of CT findings with those of bronchoscopic findings in nine patients. Results : Age of the patients was from 17 to 73 years old, and the ratio of male to female was 1 : 25 with absolute female predominance. The site(s) of bronchial involvement by tuberculosis is one in 14 cases, two in nine cases and three in one case, respectively, and the left main bronchus was the most frequently involved site (13 cases for multiple involvements and 7 cases for single involvement among 26 cases). The length of bronchial involvement by tuberculosis which was measured by CT was from 10 to 55 mm, and there was a tendency that the length of involved lesion in fibrostenotic type was shorter than that of actively caseating type. Bronchial stricture on CT was noticed in 25 (96%) cases and the range of severity was from total occlusion to near-normal and also showed wide variation even though the subtype of ET was same. The increase of peribronchial thickness which was measured by CT, was noticed in 21 cases (91%) among 23 cases (in which the measurement was possible), and there was no improvement of peribronchial thickness in those cases which showed little improvement in bronchial stricture despite anti-tuberculosis treatment. There was no difference in the luminal irregularity of involved bronchi on CT in relation to bronchoscopic subtypes. The mediastinal lymph node enlargement, defined as the diameter of lymph node was larger than 1cm on CT, was detected in 20 cases (77%), and right side was more frequently involved (L : R = 1 : 5.2). The CT finding usually showed extrinsic bronchial compression but showed direct invasion in two cases which were bronchoscopically classified as tumorous type. When follow-up bronchoscopy and CT was performed after one month of anti-tuberculosis treatment in nine patients, CT showed significant improvement in peribronchial thickness and mediastinal lymph node enlargement. Bronchial stricture was also improved in 6 cases but aggravated in 3 cases despite anti-tuberculosis therapy. In two cases which were classified as fibrostenotic type by bronchoscopy, CT showed significant improvement in bronchial stricture, interestingly. Conclusion : We concluded that the role of Chest CT was complimentary to bronchoscopy in ET, since CT was useful in evaluating the length of bronchial involvement, peribronchial thickness, and mediastinal lymph node enlargement.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.10 no.4
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• pp.259-265
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• 2016

In this paper, new method was proposed to classify lung tissues such as Broncho vascular, Emphysema, Ground Glass Reticular, Ground Glass, Honeycomb, Normal for early lung disease detection. 459 Statistical features was extraced from joint histogram matrix based on multi resolution analysis, volumetric LBP, and CT intensity, then dominant features was selected by using adaboost learning. Accuracy of proposed features and 3D AMFM was 90.1% and 85.3%, respectively. Proposed joint histogram based features shows better classification result than 3D AMFM in terms of accuracy, sensitivity, and specificity.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.1
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• pp.347-370
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• 2019

In the computer-aided detection (CAD) system of pulmonary nodules, a high false positive rate is common because the density and the computed tomography (CT) values of the vessel and the nodule in the CT images are similar, which affects the detection accuracy of pulmonary nodules. In this paper, a method of automatic detection of pulmonary nodules based on multi-scale enhancement filters and 3D shape features is proposed. The method uses an iterative threshold and a region growing algorithm to segment lung parenchyma. Two types of multi-scale enhancement filters are constructed to enhance the images of nodules and blood vessels in 3D lung images, and most of the blood vessel images in the nodular images are removed to obtain a suspected nodule image. An 18 neighborhood region growing algorithm is then used to extract the lung nodules. A new pulmonary nodules feature descriptor is proposed, and the features of the suspected nodules are extracted. A support vector machine (SVM) classifier is used to classify the pulmonary nodules. The experimental results show that our method can effectively detect pulmonary nodules and reduce false positive rates, and the feature descriptor proposed in this paper is valid which can be used to distinguish between nodules and blood vessels.

• The Journal of Internal Korean Medicine
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• v.44 no.4
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• pp.765-773
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• 2023

Objective: This long-term case report details a case of pancreatic cancer with lung metastasis suppressed by integrative cancer medicine (IMT). Methods: A 64-year-old woman diagnosed with pancreatic cancer visited a Korean medicine hospital complaining about the side effects of chemotherapy for lung metastasis. She received IMT involving Korean traditional medicine and Western immunotherapy from May 2017 to June 2023. Tumor dimensions were assessed through computed tomography (CT) and positron-emission tomography/CT scans, while tumor markers and safety were monitored by laboratory tests. Results: IMT suppressed the progression of cancer, as observed by imaging and laboratory tests. The patient achieved 5-year survival, even after discontinuing chemotherapy. Conclusion: This case presents a potential therapeutic alternative for patients who are ineligible for chemotherapy or surgical interventions.

• Journal of the Korean Society of Radiology
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• v.83 no.5
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• pp.1175-1181
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• 2022

Progressive massive fibrosis (PMF) with atypical findings is often misdiagnosed as lung cancer. Atypical features of PMF have been described in some reports; however, these reports only introduced their cases with a short literature review. We report two cases of solitary PMFs with no underlying simple pneumoconiosis or rapid growth at atypical location that were mistaken for lung cancer. We also suggest the useful CT findings to aid in the differential diagnosis.

• Korean Journal of Radiology
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• v.21 no.9
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• pp.1095-1103
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• 2020

Objective: The present study aimed to investigate whether quantitative dual-energy computed tomography (DECT) parameters offer an incremental risk stratification benefit over the CT ventricular diameter ratio in patients with acute pulmonary embolism (PE) by using propensity score analysis. Materials and Methods: This study was conducted on 480 patients with acute PE who underwent CT pulmonary angiography (CTPA) or DECT pulmonary angiography (DE CT-PA). This propensity-matched study population included 240 patients with acute PE each in the CTPA and DECT groups. Altogether, 260 (54.1%) patients were men, and the mean age was 64.9 years (64.9 ± 13.5 years). The primary endpoint was all-cause death within 30 days. The Cox proportional hazards regression model was used to identify associations between CT parameters and outcomes and to identify potential predictors. Concordance (C) statistics were used to compare the prognoses between the two groups. Results: In both CTPA and DECT groups, right to left ventricle diameter ratio ≥ 1 was associated with an increased risk of all-cause death within 30 days (hazard ratio: 3.707, p < 0.001 and 5.573, p < 0.001, respectively). However, C-statistics showed no statistically significant difference between the CTPA and DECT groups for predicting death within 30 days (C-statistics: 0.759 vs. 0.819, p = 0.117). Conclusion: Quantitative measurement of lung perfusion defect volume by DECT had no added benefit over CT ventricular diameter ratio for predicting all-cause death within 30 days.

• Progress in Medical Physics
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• v.22 no.1
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• pp.28-34
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• 2011

To perform the Adaptive Radiation Therapy (ART), a high degree of deformable registration accuracy is essential. The purpose of this study is to identify whether the change of MV CBCT intensity can improve registration accuracy using predefined modification level and filtering process. To obtain modification level, the cheese phantom images was acquired from both kilovoltage CT (kV CT), megavoltage cone-beam CT (MV CBCT). From the cheese phantom images, the modification level of MV CBCT was defined from the relationship between Hounsfield Units (HUs) of kV CT and MV CBCT images. 'Gaussian smoothing filter' was added to reduce the noise of the MV CBCT images. The intensity of MV CBCT image was changed to the intensity of the kV CT image to make the two images have the same intensity range as if they were obtained from the same modality. The demon deformable registration which was efficient and easy to perform the deformable registration was applied. The deformable lung phantom which was intentionally created in the laboratory to imitate the changes of the breathing period was acquired from kV CT and MV CBCT. And then the deformable lung phantom images were applied to the proposed method. As a result of deformable image registration, the similarity of the correlation coefficient was used for a quantitative evaluation of the result was increased by 6.07% in the cheese phantom, and 18% in the deformable lung phantom. For the additional evaluation of the registration of the deformable lung phantom, the centric coordinates of the mark which was inserted into the inner part of the phantom were measured to calculate the vector difference. The vector differences from the result were 2.23, 1.39 mm with/without modification of intensity of MV CBCT images, respectively. In summary, our method has quantitatively improved the accuracy of deformable registration and could be a useful solution to improve the image registration accuracy. A further study was also suggested in this paper.

• Proceedings of the Korean Society of Medical Physics Conference
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• 2002.09a
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• pp.90-93
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• 2002

In particle radiotherapy, a shape of the beam to conform the irradiation field is statically defined by the compensator, collimator and potal devices at the outside of the patient body. However the target such as lung or liver cancer moves along with respiration. This increases the irradiated volume of normal tissue. Prior discussions about organ motions along with respiration have been mainly focused on inferior-superior movement that was usually perpendicular to beam axis. On the other hand, the change of the target depth along the beam axis is very important especially in particle radiotherapy, because the range end of beam (Bragg peak) is so sharp as to be matched to distal edge of the target. In treatment planning, the range of the particle beam inside the body is calculated using a calibration curve relating CT number and water equivalent path length (WEL) to correct the inhomogeneities of tissues. The variation in CT number along the beam path would cause the uncertainties of range calculation at treatment planning for particle radiotherapy. To estimate the uncertainties of the range calculation associated with patient breathing, we proposed the method using sequential CT images with respiration waveform, and analyzed organ motions and WELs at patients that had lung or liver cancer. The variation of the depth along the beam path was presented in WEL rather than geometrical length. In analyzed cases, WELs around the diaphragm were remarkably changed depending on the respiration, and the magnitude of these WEL variations was almost comparable to inferior-superior movement of diaphragm. The variation of WEL around the lung was influenced by heartbeat.