• International Journal of Fuzzy Logic and Intelligent Systems
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• v.12 no.2
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• pp.137-142
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• 2012

The temporal subtraction technique as one of computer aided diagnosis has been introduced in medical fields to enhance the interval changes such as formation of new lesions and changes in existing abnormalities on deference image. With the temporal subtraction technique radiologists can easily detect lung nodules on visual screening. Until now, two-dimensional temporal subtraction imaging technique has been introduced for the clinical test. We have developed new temporal subtraction method to remove the subtraction artifacts which is caused by mis-registration on temporal subtraction images of lungs on MDCT images. In this paper, we propose a new computer aided diagnosis scheme for automatic enhancing the lung nodules from the temporal subtraction of thoracic MDCT images. At first, the candidates regions included nodules are detected by the multiple threshold technique in terms of the pixel value on the temporal subtraction images. Then, a rule-base method and artificial neural networks is utilized to remove the false positives of nodule candidates which is obtained temporal subtraction images. We have applied our detection of lung nodules to 30 thoracic MDCT image sets including lung nodules. With the detection method, satisfactory experimental results are obtained. Some experimental results are shown with discussion.

• Nuclear Medicine and Molecular Imaging
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• v.40 no.3
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• pp.163-168
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• 2006

Purpose: Incidence of lung canter in patients with idiopathic pulmonary fibrosis (IPF) is known to be higher than that in general population. However, it is difficult to discriminate pulmonary nodule in patients with IPF, because underlying IPF can be expressed as lung nodules. We evaluated the diagnostic performance of FDG PET in discriminating lung nodule in patients with IPF. Methods: We retrospectively reviewed 28 lung nodules in 16 subjects (age; $67.53{\pm}9.53$, M:F=14:2). Two patients had previous history of malignant cancer (small cell lung cancer and subglottic cancer). The diagnostic criteria on chest CT were size, morphology and serial changes of size. FDG PET was visually interpreted, and maximal SUV was calculated for quantitative analysis. Results: from 28 nodules, 18 nodules were interpreted as benign nodules, 10 nodules as malignant nodules by histopahthology or follow-up chest CT. The sensitivity and specificity of FDG PET were 100% and 94.4%, while those of CT were 70.0% and 44.4%, respectively. Malignant nodule was higher maxSUV than that of benign lung nodules ($7.68{\pm}3.96\;vs.\;1.22{\pm}0.65$, p<0.001). Inflammatory lesion in underlying IPF was significantly lower maxSUV than that of malignant nodules ($1.80{\pm}0.43$, p<0.001). The size of malignant and benign nodule were $23.95{\pm}10.15mm\;and\;10.83{\pm}5.23mm$ (p<0.01). Conclusion: FDG PET showed superior diagnostic performance to chest CT in differentiating lung nodules in patients with underlying IPF. FDG PET could be used to evaluate suspicious malignant lung nodule detected by chest in patients with IPF.

• Nuclear Medicine and Molecular Imaging
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• v.42 no.sup1
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• pp.17-28
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• 2008

This review focuses on the clinical use of $^{18}F-FDG$ PET to evaluate solitary pulmonary nodule (SPN) and non-small cell lung cancer (NSCLC). When SPN or mass without calcification is found on chest X-ray or CT, $^{18}F-FDG$ PET is an effective modality to differentiate benign from malignant lesions. For initial staging of NSCLC, $^{18}F-FDG$ PET is useful, and proved to be cost-effective in several countries. $^{18}F-FDG$ is useful for detecting recurrence, restaging and evaluating residual tumor after curative therapy in NSCLC. For therapy response assessment, $^{18}F-FDG$ PET may be effective after chemotherapy or radiation therapy. $^{18}F-FDG$ PET is useful to predict pathological response after neoadjuvant therapy in NSCLC. For radiation therapy planning, $^{18}F-FDG$ PET may be helpful, but requires further investigations. PET/CT is better for evaluating NSCLC than conventional PET.

• IEMEK Journal of Embedded Systems and Applications
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• v.17 no.5
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• pp.265-272
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• 2022

As the risk of lung cancer has increased, early-stage detection and treatment of cancers have received a lot of attention. Among various medical imaging approaches, computer tomography (CT) has been widely utilized to examine the size and growth rate of lung nodules. However, the process of manual examination is a time-consuming task, and it causes physical and mental fatigue for medical professionals. Recently, many computer-aided diagnostic methods have been proposed to reduce the workload of medical professionals. In recent studies, encoder-decoder architectures have shown reliable performances in medical image segmentation, and it is adopted to predict lesion candidates. However, localizing nodules in lung CT images is a challenging problem due to the extremely small sizes and unstructured shapes of nodules. To solve these problems, we utilize atrous spatial pyramid pooling (ASPP) to minimize the loss of information for a general U-Net baseline model to extract rich representations from various receptive fields. Moreover, we propose mixed-up attention mechanism of reverse, boundary and convolutional block attention module (CBAM) to improve the accuracy of segmentation small scale of various shapes. The performance of the proposed model is compared with several previous attention mechanisms on the LIDC-IDRI dataset, and experimental results demonstrate that reverse, boundary, and CBAM (RB-CBAM) are effective in the segmentation of small nodules.

• Tuberculosis and Respiratory Diseases
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• v.56 no.2
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• pp.151-158
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• 2004

Background : When a non small cell lung caner patient at the $_cT_{1-2}N_0M_0$ stage is diagnosed with intrapulmonary nodule(s), the treatment plan and prognosis of the patient largely depend on whether the nodule is benign or malignant. In most cases, however, it is hard to conduct a biopsy on such a nodule, due to its small size. Furthermore, the predictive factors that may imply benignancy or malignancy of the nodules remain unknown. As such, the purpose of our study was to validate the incidence of malignant nodules in such cases, and find if there are any predictive factors. Methods : Chest computed tomography(CT) scans and the medical records of 444 patients, who had undergone non small cell lung cancer surgery, between July, 2001 and September, 2003, at Seoul National University Hospital, were retrospectively reviewed. Among $_cT_{1-2}N_0M_0$ non small cell lung cancer patients, with intrapulmonary nodule(s), only those cases where a CT scan or a biopsy of the nodules had been conducted, and had been followed up at intervals of more than 6 months were included. However, patients who had received chemotherapy or radiation therapy, pre- or post-operatively, or with calcified nodules, were excluded. Results : Our study group consisted of 39 patients, divided into two groups. The first group, 33 patients, had benign nodules, and the second group, 6 patients, had malignant nodules. The two groups were compared with regard to gender, age, cell type, pathologic stage, shape, size, location and number of nodules and presence of calcification around the nodules. There was no statistically significant difference between the two groups. Conclusion : The intrapulmonary nodules in non small cell lung cancer patients at the $_cT_{1-2}N_0M_0$ stage were mostly benign. Therefore, surgical treatment for such patients can be considered. Moreover, without predictive factors, pathological confirmation of the diagnosed nodules should be sought in all patients.

• Parasites, Hosts and Diseases
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• v.51 no.5
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• pp.569-572
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• 2013

Dirofilariasis is a rare disease in humans. We report here a case of a 48-year-old male who was diagnosed with pulmonary dirofilariasis in Korea. On chest radiographs, a coin lesion of 1 cm in diameter was shown. Although it looked like a benign inflammatory nodule, malignancy could not be excluded. So, the nodule was resected by video-assisted thoracic surgery. Pathologically, chronic granulomatous inflammation composed of coagulation necrosis with rim of fibrous tissues and granulations was seen. In the center of the necrotic nodules, a degenerating parasitic organism was found. The parasite had prominent internal cuticular ridges and thick cuticle, a well-developed muscle layer, an intestinal tube, and uterine tubules. The parasite was diagnosed as an immature female worm of Dirofilaria immitis. This is the second reported case of human pulmonary dirofilariasis in Korea.

• Tuberculosis and Respiratory Diseases
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• v.64 no.2
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• pp.133-137
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• 2008

Pulmonary paragonimiasis continues to be a diagnostically challenging parasitic disease, despite a drastically decreased prevalence in South Korea during the past decade. Pulmonary paragonimiasis is characterized by fever, chest pain, and chronic cough with hemoptysis. Numerous radiographic and computed tomographic findings including the presence of pneumothorax, pleural effusion, and parenchymal lesions such as nodular or infiltrative opacities have been reported. The clinical and radiological manifestations of paragonimiasis can resemble those of lung cancer, tuberculosis or a metastatic malignancy. Furthermore, this disease can mimic lung cancer as seen on $^{18}F$-fluorodeoxyglucose positron emission tomography (FDG-PET). We report a case of pulmonary paragonimiasis in a 48-year old man that presented with a solitary pulmonary nodule and was suspected as a lung cancer based on FDG-PET imaging.

• Tuberculosis and Respiratory Diseases
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• v.58 no.2
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• pp.111-119
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• 2005

The introduction of high-resolution CT (HRCT) in recent years has improved the ability of radiologists to detect and characterize the diffuse infiltrative lung disease (DILD). The detection and diagnosis of diffuse lung disease using HRCT are based on the recognition of specific abnormal findings. In this article, pattern recognition of HRCT findings is reviewed in the differential diagnosis of diffuse infiltrative lung disease. In general, HRCT findings of lung disease can be classified into four categories based on their appearances. These categories consist of (1) nodules and nodular opacities, (2) linear and reticular opacities, (3) increased lung opacity, and (4) decreased lung opacity, including cystic lesions.

• Journal of Biomedical Engineering Research
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• v.11 no.2
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• pp.209-216
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• 1990

Pulmonary nodules in chest X-Ray images were detected using the symmetric property of human lung and its performance was evaluated. Thls algorithm reduced the effect of background components and enhanced the nodule signals relatively. The image was divided and processed separately, the half with matched filter only, and the other half with warping and matched filter. This algorithm increased the entire detection rate by reducing False-Positive error and improving True-Positive detectability. Result shows 10-25 % improvement in detection rate compared with the conventional alsorithm for nodules size of 10mm.

• Journal of Chest Surgery
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• v.46 no.4
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• pp.295-298
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• 2013

Solitary fibrous tumor is a rare spindle cell mesenchymal tumor entity, with either benign or malignant behavior that cannot be accurately predicted by histological findings. An intrapulmonary site of origin is even rarer. We report a case of a 51-year-old woman in whom an abnormal nodule in the lower right lung was detected during staging for sigmoid adenocarcinoma. The nodule was excised and pathological examination revealed an intrapulmonary solitary fibrous tumor.