• Title/Summary/Keyword: Cancer detection

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Simultaneous Determination of the Flavonoids and Limonoids in Citrus junos Seed Shells Using a UPLC-DAD-ESI/MS

  • Jo, Ara;Shin, Ji hun;Song, Hwa young;Lee, Ye Eun;Jeong, Da Eun;Oh, Sung Hwa;Mun, Myung Jae;Lee, Mina
    • Natural Product Sciences
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    • v.26 no.1
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    • pp.64-70
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    • 2020
  • Citrus junos seeds (CS) have been traditionally used for the treatment of cancer and neuralgia. They are also used to manufacture edible oil and cosmetic perfume. A large amount of CS shells without oil (CSS) are discarded after the oil in CS is used as foods or herbal remedy. To efficiently utilize CSS as a by-products, it needs to be studied through chemical analysis. Therefore, we developed an ultra-performance liquid chromatography (UPLC)-diode array detection (DAD) method for simultaneous determination and quantitative analysis of five components (two flavonoids and threes limonoids) in CSS. A Waters Acquity UPLC HSS T3 column C18 (2.1 × 100 mm, 1.8 ㎛) was used for this separation. It was maintained at 40 ℃. The mobile phase used for the analysis was distilled water and acetonitrile with gradient elution. To identify the quantity of the five components, a mass spectrometer (MS) with an electrospray ionization (ESI) source was used. The regression equation showed great linearity, with correlation coefficient ≥ 0.9912. Limits of detection (LOD) and limits of quantification (LOQ) of the five compounds were 0.09 - 0.13 and 0.26 - 0.38 ㎍/mL, respectively. Recoveries of extraction ranged from 97.45% to 101.91%. Relative standard deviation (RSD) values of intra- and inter-day precision were 0.06 - 1.15% and 0.19 - 0.25%, respectively. This UPLC-DAD method can be validated to simultaneously analyze quantities of marker flavonoids and limonoids in CSS.

Automated Detection and Volume Calculation of Nodular Lung Cancer on CT Scans (CT 영상에서 결절성 폐암의 자동추출 및 체적계산)

  • Kim, Do-Yeon;Kim, Jin-Hwan;Noh, Seung-Moo;Park, Jong-Won
    • Journal of KIISE:Computing Practices and Letters
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    • v.7 no.5
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    • pp.451-457
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    • 2001
  • This paper describes automated methods for the detection of lung nodules and their volume calculation on CT scans. Gray-level threshold methods were used to segment the thorax from the background and then the lung parenchymes from the thoracic wall and mediastinum. A scanning-ball algorithm was applied to more accurately delineate the lung boundaries, thereby incorporating peripheral nodules contiguous to pleural surface within the segmented lung parenchymes. The lesions which have the high gray value were extracted from the segmented lung parenchymes. The selected lesions include nodules, blood vessels and partial volume effects. The discriminating features such as size, solid-shape, average, standard deviation and correlation coefficient of selected lesions were used to distinguish true nodules from pseudo-lesions. Volume and circularity calculation were performed for each identified nodules. The identified nodules were sorted in descending order of the volume. These method were applied to 621 image slices of 19 cases. The sensitivity was 95% and there was no false-positive result.

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Helicobacter pylori in the Oral Cavity (구강 내 Helicobacter pylori)

  • Ahn, Jong-Mo
    • Journal of Oral Medicine and Pain
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    • v.37 no.2
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    • pp.75-79
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    • 2012
  • Helicobacter pylori(H. pylori) associated with gastritis and gastric cancer is mainly detected dental plaque and saliva in the oral cavity. Most infection is probably acquired in childhood, but the route of transmission is not clear. The oral cavity has been indicated as secondary reservoir of H. pylori, and may therefore be argued in the route of transmission and reinfection of the stomach which follows treatment of H. pylori infection. So this review aimed to discuss about H. pylori in the oral cavity. H. pylori in stomach can appear in the oral cavity by gastroesophageal reflex or vomiting, but infection of stomach and oral cavity is different. Diagnostic methods are serological method, urea breath test, PCR method, urease test, histologic method and so on. Nested PCR recommend for detection of H. pylori in saliva and dental plaque. H. pylori infection in the oral cavity appear variously and is no relation with dental diseases. The antimicrobial mouthrinse recommend in patients with periodontal diseases because of high detection rate fo H. pylori. Thus H. pylori may be considered as the normal oral microflora.

Verification of Estrogenic Activity in Ethanol Extracts of Marine Organisms Using in vitro Test System. (In vitro 검출시스템을 이용한 해양생물 추출물로부터 에스트로겐 활성 검증)

  • 하종명;이상현
    • Journal of Life Science
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    • v.13 no.6
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    • pp.799-804
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    • 2003
  • In order to verify the occurrence of an estrogenic compound in natural products, the estrogenic activity was measured using an in vitro detection system. For this system, human breast cancer cell line MCF7 was transfected using an estrogen responsive CAT reporter plasmid. Estrogenic activities of photosynthetic algae spirulina and sea lettuce were evaluated using this system. Estrogenic activities of a $500\mug/ml\; and\; 50 \mug/ml$ ethanol extracts of spirulina were as much as that of $10^{-8}$M standard solution (17$\beta$-estradiol) and activity of $5\mug/ml$ ethanol extract of spirulina was as much as that of $10^{-10}$ M standard solution. However, no significant estrogenic activity was observed using sea lettuce extract. Estrogenic activities of marine animals, such as star fish and shrimp, were also evaluated using this system, however, no significant estrogenic activity was observed in these extracts. In this result, it is confirmed that spirulina extract possesses estrogenic compound.

Reference based simulation study of detector comparison for BNCT-SPECT imaging

  • Kim, Moo-Sub;Shin, Han-Back;Choi, Min-Geon;Monzen, Hajime;Shim, Jae Goo;Suh, Tae Suk;Yoon, Do-Kun
    • Nuclear Engineering and Technology
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    • v.52 no.1
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    • pp.155-163
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    • 2020
  • To investigate the optimal detector material for prompt gamma imaging during boron neutron capture therapy, in this study, we evaluated the characteristic regarding radiation reaction of available detector materials using a Monte Carlo simulation. Sixteen detector materials used for radiation detection were investigated to assess their advantages and drawbacks. The estimations used previous experimental data to build the simulation codes. The energy resolution and detection efficiency of each material was investigated, and prompt gamma images during BNCT simulation were acquired using only the detectors that showed good performance in our preliminary data. From the simulation, we could evaluate the majority of detector materials in BNCT and also could acquire a prompt gamma image using the six high ranked-detector materials and lutetium yttrium oxyorthosilicate. We provide a strategy to select an optimal detector material for the prompt gamma imaging during BNCT with three conclusions.

Follow-up of Soluble Mesothelin-Related Protein Levels in Participants With Asbestos-Related Disorders

  • Park, Eun-Kee;Johnson, Anthony R.;Wilson, Donald;Thomas, Paul S.;Yates, Deborah H.
    • Safety and Health at Work
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    • v.11 no.4
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    • pp.425-430
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    • 2020
  • Background: Asbestos exposure is associated with the development of the cancer malignant mesothelioma (MM). Measurement of soluble mesothelin-related protein (SMRP) has been suggested as a method for detection of MM in its early stages. We prospectively examined SMRP levels in participants with asbestos exposure who are a group at a high risk of development of MM. Methods: This study was a follow-up of our cohort of 322 asbestos-exposed participants. No further participants developed MM or malignancy over the study period. Mean follow-up time was 22.9 months. Results: Mean (standard deviation) SMRP levels at baseline and follow-up were 0.94 (0.79) and 0.91 (0.86) nmol/L (p = 0.1033), respectively. Mean SMRP levels of the healthy individuals exposed to asbestos at baseline was significantly lower than those of participants with asbestosis and pleural plaques alone; similar patterns were found on follow-up measurements. There was a statistically significant effect of age on serial SMRP measurements. Our study confirms higher levels in participants with nonmalignant asbestos-related disorders. Levels decreased in asbestos-related disorders other than asbestosis, where a small increase was observed. We did not detect any further cases of malignancy. Conclusion: Monitoring programs for early detection of MM need to take into account increased SMRP levels found in benign asbestos-related diseases.

Non-Invasive Colorimetric Magneto Loop-Mediated Isothermal Amplification (CM-LAMP) Method for Helicobacter pylori Detection

  • Bangpanwimon, Khotchawan;Mittraparp-arthorn, Pimonsri;Srinitiwarawong, Kanchana;Tansila, Natta
    • Journal of Microbiology and Biotechnology
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    • v.31 no.4
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    • pp.501-509
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    • 2021
  • More than half the world's population is thought to be infected with Helicobacter pylori. Although the majority of infected people are asymptomatic, H. pylori infection may cause gastric ulcers and deadly gastric cancer. Owing to the difficulty and invasiveness of current routine culture and diagnostic methods, a highly sensitive and specific noninvasive assay for H. pylori is of interest. This study highlighted the design and performance of a colorimetric magneto loop-mediated isothermal amplification (CM-LAMP) assay to detect H. pylori in spiked saliva samples. LF primers were coated on magnetic nanoparticles by carbodiimide-induced immobilization and functionally used for solid-phase amplification. During the LAMP reaction at 66℃, biotin-tagged FIPs were incorporated into LAMP amplicons. The colorimetric signal developed after the addition of NeutrAvidin horseradish peroxidase conjugate (NA-HRP) and ABTS. None of the tested microorganisms, including closely related bacteria, was shown positive by the CM-LAMP assay except H. pylori isolates. This novel platform was highly specific and 100-fold more sensitive (40 CFU/ml or 0.2 CFU per reaction) than the PCR and conventional LAMP assays for the detection of H. pylori in spiked saliva. Our results demonstrated the feasibility of using this noninvasive molecular diagnostic test to detect H. pylori in saliva samples.

The Value of I-Scan Image-Enhanced Endoscopy in the Diagnosis of Vocal Cord Leukoplakia

  • Lee, Young Chan;Eun, Young-Gyu;Park, Il-Seok
    • Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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    • v.29 no.2
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    • pp.98-102
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    • 2018
  • Background and Objectives : Detection of vascular abnormalities in vocal cord (VC) leukoplakia is important for the diagnosis of neoplastic change of the mucosa. The aim of this study was to investigate the value of i-scan in the differential diagnosis of VC leukoplakia based on visualization of abnormal vascular features. Material and Methods : Fifty-two patients with leukoplakia were enrolled in the study. Images of their larynx obtained using conventional white light endoscopy and an i-scan-enhanced endoscopy (Pentax DEFINA EPK-3000 Video Processors, with Pentax VNLJ10) were reviewed. The microvascular features of the lesions and vascular changes were analyzed and the results were compared with the histopathologic diagnosis. Results : Among the 52 leukoplakia patients, 7 (13.5%) patients had squamous hyperplasia, 10 (19.3%) mild dysplasia, 2 (3.8%) moderate dysplasia, 14 (26.9%) severe dysplasia, 4 (7.7%) carcinoma in situ, and 15 (28.8%) invasive squamous cell carcinoma on histopathologic examination. Using i-scan-enhanced endoscopy, abnormal vascular change with neoplastic neoangiogenesis was detected in most cases of malignant VC lesion [severe dysplasia : 9/14 (64.3%), carcinoma in situ: 2/4 (50.0%), and invasive squamous cell carcinoma : 11/15 (73.4%)]. Conclusion : i-scan-enhanced endoscopy is a useful optical technique for the diagnosis of VC leukoplakia. Our results suggest that i-scan may be a promising diagnostic tool in the early detection of laryngeal cancer.

Daily adaptive proton therapy: Feasibility study of detection of tumor variations based on tomographic imaging of prompt gamma emission from proton-boron fusion reaction

  • Choi, Min-Geon;Law, Martin;Djeng, Shin-Kien;Kim, Moo-Sub;Shin, Han-Back;Choe, Bo-Young;Yoon, Do-Kun;Suh, Tae Suk
    • Nuclear Engineering and Technology
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    • v.54 no.8
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    • pp.3006-3016
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    • 2022
  • In this study, the images of specific prompt gamma (PG)-rays of 719 keV emitted from proton-boron reactions were analyzed using single-photon emission computed tomography (SPECT). Quantitative evaluation of the images verified the detection of anatomical changes in tumors, one of the important factors in daily adaptive proton therapy (DAPT) and verified the possibility of application of the PG-ray images to DAPT. Six scenarios were considered based on various sizes and locations compared to the reference virtual tumor to observe the anatomical alterations in the virtual tumor. Subsequently, PG-rays SPECT images were acquired using the modified ordered subset expectation-maximization algorithm, and these were evaluated using quantitative analysis methods. The results confirmed that the pixel range and location of the highest value of the normalized pixel in the PG-rays SPECT image profile changed according to the size and location of the virtual tumor. Moreover, the alterations in the virtual tumor size and location in the PG-rays SPECT images were similar to the true size and location alterations set in the phantom. Based on the above results, the tumor anatomical alterations in DAPT could be adequately detected and verified through SPECT imaging using the 719 keV PG-rays acquired during treatment.

Detecting Foreign Objects in Chest X-Ray Images using Artificial Intelligence (인공 지능을 이용한 흉부 엑스레이 이미지에서의 이물질 검출)

  • Chang-Hwa Han
    • Journal of the Korean Society of Radiology
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    • v.17 no.6
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    • pp.873-879
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    • 2023
  • This study explored the use of artificial intelligence(AI) to detect foreign bodies in chest X-ray images. Medical imaging, especially chest X-rays, plays a crucial role in diagnosing diseases such as pneumonia and lung cancer. With the increase in imaging tests, AI has become an important tool for efficient and fast diagnosis. However, images can contain foreign objects, including everyday jewelry like buttons and bra wires, which can interfere with accurate readings. In this study, we developed an AI algorithm that accurately identifies these foreign objects and processed the National Institutes of Health chest X-ray dataset based on the YOLOv8 model. The results showed high detection performance with accuracy, precision, recall, and F1-score all close to 0.91. Despite the excellent performance of AI, the study solved the problem that foreign objects in the image can distort the reading results, emphasizing the innovative role of AI in radiology and its reliability based on accuracy, which is essential for clinical implementation.