• Asian Pacific Journal of Cancer Prevention
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• 제15권11호
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• pp.4595-4599
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• 2014

Background: Colorectal cancer is a serious health problem. Early detection of colorectal cancer is crucial for treatment and reducing mortality. Beliefs related to colorectal cancer have been found to be a factor in a person's decision about colorectal cancer screening programs. To determine such beliefs, a valid and reliable instrument is necessary. Objective:The aim of this study was to adapt and determine the psychometric properties of the Persian version of Champion's Health Belief Model Scale of breast cancer screening in the measurement of beliefs toward colorectal cancer (CRC) screening. Materials and Methods: The 'forward-backward' procedure was applied to translate the instrument from English into Persian. This study was conducted in Iran from June 2012 to May 2013. A convenience sample of 200 individuals aged 50 years and older was recruited from the population at the outpatient clinics in the three teaching hospitals. Validity was assessed using content, face and construct validity. To test reliability, the internal consistency was assessed by using Cronbach's alpha coefficient and test-retest (intraclass correlation coefficient) analyses. Exploratory factor analysis was used to assess the construct validity and determine the factors of adapted Champion's Health Belief Model Scale. Results: The mean age of the participants were 62.5 years (SD=10.8 years) and the majority of them (75.5 percent) were female. The results of exploratory factor analysis indicated a six-factor solution for the questionnaire (benefits, motivation and confidence, seriousness, susceptibility, emotional barriers and background barriers) that jointly accounted for 55.52% of variance observed. Cronbach's alpha of the subscales ranged from 0.57 to 0.89 and test-retest reliability ranged from 0.81 to 0.93 indicating a good range of reliability. Conclusions: The findings of this study suggest that the Persian version of Champion's Health Belief Model Scale of CRC screening has good psychometric properties and could be an appropriate measure for health beliefs related to CRC screening in national and international studies.

• Asian Pacific Journal of Cancer Prevention
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• 제13권10호
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• pp.5131-5136
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• 2012

Cancer is one of the major health problems worldwide and its current treatments have a number of undesired adverse side effects. Natural compounds may reduce these. Currently, a few plant products are being used to treat cancer. In this study, goniothalamin, a natural occurring styryl-lactone extracted from Goniothalamus macrophyllus, was investigated for cytotoxic properties against cervical cancer (HeLa), breast carcinoma (MCF-7) and colon cancer (HT29) cells as well as normal mouse fibroblast (3T3) using MTT assay. Fluorescence microscopy showed that GTN is able to induce apoptosis in HeLa cells in a time dependent manner. Flow cytometry further revealed HeLa cells treated with GTN to be arrested in the S phase. Phosphatidyl serine properties present during apoptosis enable early detection of the apoptosis in the cells. Using annexin V/PI double staining it could be shown that GTN induces early apoptosis on HeLa cells after 24, 48 and 72 h. It could be concluded that goniothalamin showing a promising cytotoxicity effect against several cancer cell lines including cervical cancer cells (HeLa) with apoptosis as the mode of cell death induced on HeLa cells by Goniothalamin was.

• Korean Journal of Radiology
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• 제23권5호
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• pp.505-516
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• 2022

Objective: To evaluate whether artificial intelligence (AI) for detecting breast cancer on mammography can improve the performance and time efficiency of radiologists reading mammograms. Materials and Methods: A commercial deep learning-based software for mammography was validated using external data collected from 200 patients, 100 each with and without breast cancer (40 with benign lesions and 60 without lesions) from one hospital. Ten readers, including five breast specialist radiologists (BSRs) and five general radiologists (GRs), assessed all mammography images using a seven-point scale to rate the likelihood of malignancy in two sessions, with and without the aid of the AI-based software, and the reading time was automatically recorded using a web-based reporting system. Two reading sessions were conducted with a two-month washout period in between. Differences in the area under the receiver operating characteristic curve (AUROC), sensitivity, specificity, and reading time between reading with and without AI were analyzed, accounting for data clustering by readers when indicated. Results: The AUROC of the AI alone, BSR (average across five readers), and GR (average across five readers) groups was 0.915 (95% confidence interval, 0.876-0.954), 0.813 (0.756-0.870), and 0.684 (0.616-0.752), respectively. With AI assistance, the AUROC significantly increased to 0.884 (0.840-0.928) and 0.833 (0.779-0.887) in the BSR and GR groups, respectively (p = 0.007 and p < 0.001, respectively). Sensitivity was improved by AI assistance in both groups (74.6% vs. 88.6% in BSR, p < 0.001; 52.1% vs. 79.4% in GR, p < 0.001), but the specificity did not differ significantly (66.6% vs. 66.4% in BSR, p = 0.238; 70.8% vs. 70.0% in GR, p = 0.689). The average reading time pooled across readers was significantly decreased by AI assistance for BSRs (82.73 vs. 73.04 seconds, p < 0.001) but increased in GRs (35.44 vs. 42.52 seconds, p < 0.001). Conclusion: AI-based software improved the performance of radiologists regardless of their experience and affected the reading time.

• Asian Pacific Journal of Cancer Prevention
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• 제17권7호
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• pp.3377-3380
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• 2016

The proportion of lung cancer patients under 50 years old is small at approximately 5-10%, but as with patients older than 50, the number is on the rise. Although lung cancer treatment strategies have undergone extensive transformation in recent years based on the presence or absence of oncogenic driver mutations, there are few reports regarding these mutations in the young or the relationship between clinical setting and prognosis. Therefore, we conducted a study of clinical features in 36 patients under the age of 50 who were diagnosed with primary lung cancer from October 2008 to November 2015. The 22 patients in stages I through III A underwent operations, and all 17 whose lung cancer were detected through screening were candidates for surgery. Gene analysis was conducted for 26 (72.2%); 10 (38.5%) were positive for EGFR gene mutations, and ALK gene translocation was present in 4 (15.4%). In stage IV patients, the median progression free survival (PFS) in the ALK translocation positive and negative patients was 518 days and 130 days, respectively, and the median overall survival (OS) was not reached and 280 days, respectively. A trend toward extended PFS (p=0.203) and OS (p=0.056) was observed in patients positive for ALK translocation. We must strive for early detection by increasing screening rates and evaluate oncogenic driver mutations important for prognosis of lung cancer in the young.

• Korean Journal of Radiology
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• 제23권12호
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• pp.1241-1250
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• 2022

Objective: To conduct a simulation study to determine whether artificial intelligence (AI)-aided mammography reading can reduce unnecessary recalls while maintaining cancer detection ability in women recalled after mammography screening. Materials and Methods: A retrospective reader study was performed by screening mammographies of 793 women (mean age ± standard deviation, 50 ± 9 years) recalled to obtain supplemental mammographic views regarding screening mammography-detected abnormalities between January 2016 and December 2019 at two screening centers. Initial screening mammography examinations were interpreted by three dedicated breast radiologists sequentially, case by case, with and without AI aid, in a single session. The area under the receiver operating characteristic curve (AUC), sensitivity, specificity, and recall rate for breast cancer diagnosis were obtained and compared between the two reading modes. Results: Fifty-four mammograms with cancer (35 invasive cancers and 19 ductal carcinomas in situ) and 739 mammograms with benign or negative findings were included. The reader-averaged AUC improved after AI aid, from 0.79 (95% confidence interval [CI], 0.74-0.85) to 0.89 (95% CI, 0.85-0.94) (p < 0.001). The reader-averaged specificities before and after AI aid were 41.9% (95% CI, 39.3%-44.5%) and 53.9% (95% CI, 50.9%-56.9%), respectively (p < 0.001). The reader-averaged sensitivity was not statistically different between AI-unaided and AI-aided readings: 89.5% (95% CI, 83.1%-95.9%) vs. 92.6% (95% CI, 86.2%-99.0%) (p = 0.053), although the sensitivities of the least experienced radiologists before and after AI aid were 79.6% (43 of 54 [95% CI, 66.5%-89.4%]) and 90.7% (49 of 54 [95% CI, 79.7%-96.9%]), respectively (p = 0.031). With AI aid, the reader-averaged recall rate decreased by from 60.4% (95% CI, 57.8%-62.9%) to 49.5% (95% CI, 46.5%-52.4%) (p < 0.001). Conclusion: AI-aided reading reduced the number of recalls and improved the diagnostic performance in our simulation using women initially recalled for supplemental mammographic views after mammography screening.

• Maxillofacial Plastic and Reconstructive Surgery
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• 제32권1호
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• pp.86-88
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• 2010

Oral metastatic tumors are uncommon and account for about 1% of malignant oral neoplasm. The metastatic lesions are common in breast, lung, kidney and thyroid cancer. About 20% of oral mucosal metastasis is founded before detection of primary lesions. Usually, the metastatic lesions of the oral cavity are involved in the jaw bone, especially mandible more than the oral soft tissues. We report a case diagnosed as the stomach cancer with mandible metastatic lesion looking like TMJ abscess.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1997년도 추계학술대회
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• pp.365-368
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• 1997

We are developing a small gamma camera or imaging malignant breast tumors. The small scintillation camera system consists of NaI(Tl) crystal ($60\;{\times}\;60\;{\times}\;6\;mm^3$) coupled to position sensitive photomultiplier tube (PSPMT), nuclear instrument module (NIM), analog to digital converter (ADC), and personal computer. High quality flood source image and hole mask image were obtained using the gamma camera developed in this study. Breast phantom containing $2{\sim}7\;mm$ diameter spheres was successfully imaged with parallel hole collimator. The obtained image displayed accurate activity distribution over the imaging field of view. Linearity and uniformity correction algorithms are being developed. It is believed that the developed small gamma camera could be useful or detection of malignant breast cancer.

• 대한핵의학회지
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• 제33권5호
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• pp.452-460
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• 1999

목적: Tc-99m tetrofosmin을 이용한 유방 신티그라피의 진단적 유용성을 알아보고자 하였다. 대상 및 방법: 유방종괴를 주소로 내원하여 단순 유방조영술, 초음파 및 Tc-99m tetrofosmin 유방 신티그라피를 시행한 61명의 환자를 대상으로 하였다. Tc-99m tetrofosmin 주사 5분 후에 측면상 및 전면상을 얻었고 1시간 후에 측면상을 다시 얻었다. 영상판독은 양성, 양성가능, 음성가능, 음성으로 나누었다. 종양/배후방사능비를 조기 및 지연 측면영상에서 각각 측정하여 비교하였다. 단순 유방조청상의 판독은 5 category로 나누었다. 확진은 수술(58/61) 또는 세침흡인(3/61)으로 이루어졌다. 61명 중 44명이 유방암, 17명이 양성 유방 질환으로 확진되었다. 유방암 종괴 44예의 크기는 $1{\sim}8cm$(평균 $2.51{\pm}1.30cm$)였고 양성 종괴 17예 중 16예의 크기는 $0.96{\sim}6 cm$(평균 $2.50{\pm}1.35 cm$)으로서 차이가 없었다. 결과: 단순 유방조영술의 민감도는 88.6%, 특이도는 58.8%, 양성 예측률은 84.7%, 음성 예측률은 66.7%였다. Tc-99m tetrofosmin 유방 신티그라피의 민감도는 90.9%, 특이도는 88.2%, 양성 예측률은 94.9%, 음성 예측률은 78.9%였다. 단순 유방조영상에서 악성도 미정으로 판독된 25명의 환자 중 23명은 유방 신티그라피에 의해 정확하게 진단할 수 있었다. 종양/배후방사능비는 5분 및 1시간 영상에서 각각 $3.78{\pm}2.21$, $3.25{\pm}1.80$이었고 통계적으로 유의하게 감소하였다(p<0.001). 결론: Tc-99m tetrofosmin 유방신티그라피는 유방암 진단에 유용한 검사이고 특히 단순 유방조영상에서 악성도 미정으로 판독된 환자에서 특히 유용할 것으로 사료된다.

• 동의생리병리학회지
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• 제17권4호
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• pp.1054-1058
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• 2003

In order to evaluate the direct effect of estrogenic compounds in oriental herbal medicines, 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 Platycodi radix, Astragali radix and Glycyrrhizae radix were evaluated using this system. Estrogenic activity of a 500 ㎍/ml ethanol extract of Platycodi radix was as same as that of a 10/sup -8/ M standard solution (17β-estradiol) and activity of a 50 ㎍/ml ethanol extract was between those of a 10/sup -8/ M and a 10/sup -9/ M standard solutions. In addition, estrogenic activity of a 50 ㎍/ml ethanol extract of Platycodi radix was as same as that of a 10/sup -10/ M standard solution. The same activity patterns were observed in the system which was treated by Astragali radix or Glycyrrhizae radix extracts. The most effective activity was observed in a system which was treated by Platycodi radix extract, but the least activity was observed by Glycyrrhizae radix extract. In this result, it was confirmed that Platycodi radix, Astragali radix and Glycyrrhizae radix extracts possess estrogenic compounds.

• 대한의용생체공학회:의공학회지
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• 제37권1호
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• pp.46-52
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• 2016

나노 입자는 암의 조기 진단과 효과적인 치유를 위한 약물 전달체 또는 영상 조영제로 연구개발 되어왔다. 이러한 나노 입자는 주로 EPR effect로 인해 효과적으로 암 세포를 표적하는 것이 가능하다고 보고되었고, 주로 구형의 나노 입자들이 이러한 실험에 적용되었다. 그러나 최근 EPR effect가 사람의 암 치료에 있어서는 큰 효과를 나타내지 않는다는 한계점이 여러 연구를 통해 제시되고 있다. 따라서 본 연구에서는 이러한 구형 나노 입자의 한계점을 극복하기 위한 새로운 형태의 디스크 나노 입자를 제안하고, 디스크 나노 입자의 생산 과정과 입자의 질을 향상시키기 위한 입자 생산방법에 관한 연구 내용을 보고하였다. 본 연구를 통해 생산된 디스크 나노 입자는 인간 유방암인 MCF7 세포에 적용하여 항암제 전달체로써의 가능성을 평가하였다.