• Title/Summary/Keyword: Early Diagnosis Stage

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CLINICAL STUDY OF POSITRON EMISSION TOMOGRAPHY WITH $[^{18}F]$-FLUORODEOXYGLUCOSE IN MAXILLOFACIAL TUMOR DIAGNOSIS (구강 악안면 영역의 암종 진단에 있어서 $[^{18}F]$-Fluorodeoxyglucose를 이용한 양전자방출 단층촬영의 임상적 연구)

  • Kim, Jae-Hwan;Kim, Kyung-Wook;Kim, Yong-Kack
    • Journal of the Korean Association of Oral and Maxillofacial Surgeons
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    • v.26 no.5
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    • pp.462-469
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    • 2000
  • Positron Emission Tomography(PET) is a new diagnostic method that can create functional images of the distribution of positron emitting radionuclides, which when administered intravenously in the body, makes possible anatomical and functional analysis by quantity of biochemical and physiological process. After genetic and biochemical changes in initial stage, malignant tumor undergoes functional changes before undergoing anatomical changes. So, early diagnosis of malignant tumors by functional analysis with PET can be achieved, replacing traditional anatomical analysis, such as computed tomography(CT) and magnetic resonance image(MRI), etc. Similarly, PET can identify malignant tumor without confusion with scar and fibrosis in follow up check. In the Korea Cancer Center Hospital(KCCH) from October 1997 to September 1999, clinical study was performed in 79 cases that underwent 89 times PET evaluation with [18F]-Fluorodeoxyglucose for diagnosis of oral and maxillofacial tumors, and the data was analysed by Bayesian $2{\times}2$ Classification Table. The results were as follows : Evaluation for initial diagnosis with FDG-PET (P<0.005) 1. Agreement rate or accuracy rate is 88.9%. 2. Sensitivity is 95.2%, and specificity 66.7%. 3. Positive predictive rate is 90.9%, and negative predictive rate 80.0%. 4. In consideration of tumor stage, diagnostic rate in less than stage II was 90% and in greater than stage III 100%. 5. In consideration of tumor size, diagnostic rate in less than T2 was 92.3% and in greater than T3 100%. After primary treatment, evaluation for follow up check with FDG-PET (P < 0.001) 1. Agreement rate or accuracy rate is 85.4%. 2. Sensitivity is 87.5%, and specificity 82.4%. 3. Positive predictive rate is 87.5%, and negative predictive rate 82.4%. 4. In 24 recurred cases, 6 had distant metastasis, and 5 of them were diagnosed with FDG-PET, resulting in diagnostic rate of FDG-PET of 83.3%. From the above results, Positron Emission Tomography with [18F]- Fluorodeoxyglucose appears to be more sensitive and accurate for detecting the presence of oral and maxillofacial tumors, and has various clinical applications such as early diagnosis of tumor in initial and follow up check and detection of distant metastasis.

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A New Shock Index for Predicting Survival of Rats with Hemorrhagic Shock Using Perfusion and Lactate Concentration Ratio (흰쥐의 출혈성 쇼크에서 관류와 젖산 농도 비를 이용한 새로운 생존 예측 지표 개발)

  • Choi, Jae-Lim;Nam, Ki-Chang;Kwon, Min-Kyung;Jang, Kyung-Hwan;Kim, Deok-Won
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.48 no.4
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    • pp.1-9
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    • 2011
  • Hemorrhagic shock is a clinically widespread syndrome characterized by inadequate oxygenation and supply. It is important to diagnose hemorrhagic shock in its early stage for improving treatment effects and survival rate. However, an accurate diagnosis and treatment could be delayed in the early stage of hemorrhagic shock by evaluating only vital signs such as heart rate and blood pressure. There have been many studies for the early diagnosis of hemorrhagic shock, reporting that lactate concentration and perfusion were useful variables for tissue hypoxia and metabolic acidosis. In this study, we measured both perfusion using a laser Doppler flowmeter and lactate concentration from the volume controlled hemorrhagic shock using rats. We also proposed a new shock index which was calculated by dividing lactate concentration by perfusion for early diagnosis. As a result of the survival prediction by the proposed index with the receiver operating characteristic curve method, the sensitivity, specificity, and accuracy of survival were 90.0, 96.7 and 94.0%, respectively. The proposed index showed the fastest significant difference among the other parameters such as blood pressure and heart rate. It could offer early diagnosis and effective treatment for human hemorrhagic shock if it is applicable to humans.

Causes of Transfer of Neonates (Born after ≥34 Weeks of Gestation) to the Neonatal Intensive Care Unit Owing to Respiratory Distress and their Clinical Features

  • Jung, Yu Jin
    • Neonatal Medicine
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    • v.25 no.2
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    • pp.66-71
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    • 2018
  • Purpose: Respiratory morbidity is the most common problem among neonates admitted to neonatal intensive care units. Therefore, the aim of this study was to make a differential diagnosis between transient tachypnea of the newborn (TTN), respiratory distress syndrome (RDS), and pneumonia through comparison of clinical features and test results. Methods: This retrospective study was conducted in 86 infants with TTN, RDS, or pneumonia. These were infants who had respiratory distress, were born after ${\geq}34$ weeks of gestation, and transferred to the neonatal intensive care unit of Kosin University Gospel Hospital between June 1, 2011 and June 30, 2016. Results: The numbers (percentage) of infants with TTN, RDS, and pneumonia were 51 (59.3%), 20 (23.3%), and 15 (17.4%), respectively. Late-preterm and early-term newborns accounted for 65.1% of the infants. Tachypnea was observed in 74.4% of the neonates. The median age at admission was 4 hours (0 to 116) after birth. The infants with RDS had significantly lower birth weights, pH levels, base excess and oxygen saturation levels at admission, longer duration of total ventilator therapy, and hospital stay than those in the other two groups. The infants with pneumonia showed significantly high initial high-sensitivity C-reactive protein levels and significant chest radiographic findings. Conclusion: Early differential diagnosis for TTN, RDS, and pneumonia is challenging because they show similar respiratory symptoms at an early stage. Clinical features and test results can be used to determine the etiology of respiratory distress and early antibiotic treatment.

Advanced Diagnostic Aids in Oral Cancer

  • Masthan, K.M.K.;Babu, N. Aravindha;Dash, Kailash Chandra;Elumalai, M.
    • Asian Pacific Journal of Cancer Prevention
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    • v.13 no.8
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    • pp.3573-3576
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    • 2012
  • Oral cancers are one of the most common cancers worldwide today. They are usually neglected by the common population when compared to systemic cancers such as the lung cancer, colon cancer etc. However, they also may be extremely fatal if left untreated even at a very initial stage of the lesion. Early detection and treatment gives the best chance for its cure. The five-year survival rate of oral cancer still remains low and delayed diagnosis is suggested to be one of the major reasons. The detection and diagnosis are currently based on clinical examination, histopathological evaluation of the biopsy material and molecular methods. Several diagnostic aids have been developed over the years for early detection of oral cancer. The purpose of this article is to review the advanced available diagnostic adjuncts for the detection of oral cancer.

Automatic COVID-19 Prediction with Optimized Machine Learning Classifiers Using Clinical Inpatient Data

  • Abbas Jafar;Myungho Lee
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.05a
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    • pp.539-541
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    • 2023
  • COVID-19 is a viral pandemic disease that spreads widely all around the world. The only way to identify COVID-19 patients at an early stage is to stop the spread of the virus. Different approaches are used to diagnose, such as RT-PCR, Chest X-rays, and CT images. However, these are time-consuming and require a specialized lab. Therefore, there is a need to develop a time-efficient diagnosis method to detect COVID-19 patients. The proposed machine learning (ML) approach predicts the presence of coronavirus based on clinical symptoms. The clinical dataset is collected from the Israeli Ministry of Health. We used different ML classifiers (i.e., XGB, DT, RF, and NB) to diagnose COVID-19. Later, classifiers are optimized with the Bayesian hyperparameter optimization approach to improve the performance. The optimized RF outperformed the others and achieved an accuracy of 97.62% on the testing data that help the early diagnosis of COVID-19 patients.

Novel Potential Therapeutic Targets in Autosomal Dominant Polycystic Kidney Disease from the Perspective of Cell Polarity and Fibrosis

  • Yejin Ahn;Jong Hoon Park
    • Biomolecules & Therapeutics
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    • v.32 no.3
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    • pp.291-300
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    • 2024
  • Autosomal dominant polycystic kidney disease (ADPKD), a congenital genetic disorder, is a notable contributor to the prevalence of chronic kidney disease worldwide. Despite the absence of a complete cure, ongoing research aims for early diagnosis and treatment. Although agents such as tolvaptan and mTOR inhibitors have been utilized, their effectiveness in managing the disease during its initial phase has certain limitations. This review aimed to explore new targets for the early diagnosis and treatment of ADPKD, considering ongoing developments. We particularly focus on cell polarity, which is a key factor that influences the process and pace of cyst formation. In addition, we aimed to identify agents or treatments that can prevent or impede the progression of renal fibrosis, ultimately slowing its trajectory toward end-stage renal disease. Recent advances in slowing ADPKD progression have been examined, and potential therapeutic approaches targeting multiple pathways have been introduced. This comprehensive review discusses innovative strategies to address the challenges of ADPKD and provides valuable insights into potential avenues for its prevention and treatment.

Difference in the Incidence Rate of Kidney Cancer in Korea by Relative Level of Household Income and SEER Stage at Diagnosis (우리나라 신장암의 소득 수준별 발생률과 진단시 병기의 차이)

  • Hwang, Jeong-In;Ki, Myung;Son, Mia
    • The Journal of the Korea Contents Association
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    • v.22 no.9
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    • pp.561-569
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    • 2022
  • A study was conducted to determine whether there is a difference in the incidence of kidney cancer according to income level and the difference in delayed diagnosis. To this end, the incidence of kidney cancer in Korea was analyzed by income level and by stage. From 2015 to 2017, a national kidney cancer cohort was established by linking the KCCR(Korea Central Cancer Registry), NHISS(National health insurance sharing service), and the HIRA(Health insirance review and assessment service) database to calculate the kidney cancer incidence by stage and income level. During the study period, the incidence of kidney cancer in Korea increased in all income deciles, but decreased only in the medical aid population. The incidence of kidney cancer in Korea was 7.35 per 100,000 people, and 83.54% of them were locoregional kidney cancer. In the top 20% of the income decile, there was a high incidence of 21.46 cases per 100,000 people, among which 18.37 cases were locoregional kidney cancer. On the other hand, even after adjusting for risk factors related to kidney cancer, it was confirmed that the lower the income level, the higher the risk of being diagnosed with kidney cancer with distant metastasis (lowest income 20% adj.OR 1.807, 95% CI 1.411-2.222). In the insured population, the risk ratio of being diagnosed with unknown stage was 1.926 (95% CI 1.317, 2.816). The higher the income level, the higher the frequency of early cancer diagnosis, but the lower the income level, the higher the risk of being diagnosed with metastatic kidney cancer or an unknown stage, so health inequality according to income level was observed.

Descriptive Epidemiology of Common Female Cancers in the North East India - a Hospital Based Study

  • Krishnatreya, Manigreeva;Kataki, Aamal Chandra;Sharma, Jagannath Dev;Nandy, Pintu;Talukdar, Abhijit;Gogoi, Gayatri;Hoque, Nazmul
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.24
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    • pp.10735-10738
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    • 2015
  • Background: Cancers of the breast, uterine cervix and ovary are common cancers amongst females of North East India. Not much is known about the descriptive epidemiology of these cancers in our population. The present retrospective analysis was therefore performed. Materials and Methods: The data set available at the hospital based cancer registry of a regional cancer center of North-East India, containing information on patients registered during the period of January 2010 to December 2012, was applied. A total of 2,925 cases of breast, uterine cervix and ovarian cancer were identified. Results: Of the total, 1,295 (44.3%) were breast cancers, 1,214 (41.5%) were uterine cervix and 416 (14.2%) ovarian cancer, median age (range) for breast, uterine cervix and ovary were 45 (17-85), 48 (20-91) and 45 years (7-80), respectively. Some 43.5% of cases with uterine cervix patients were illiterate, 5.4% and 5.7% stage I in breast and cervix respectively and 96.4% of ovarian cancers in advanced stage. Conclusions: Improvement of female education can contribute to increase the proportion of early stage diagnosis of breast and uterine cervix in our population. Any population-based intervention for the detection of cancers of breast, uterine cervix and ovarian cancer should be started early in our population.

Strategies for Management of the Early Chronic Obstructive Lung Disease

  • Lee, Jung Yeon;Rhee, Chin Kook;Jung, Ki Suck;Yoo, Kwang Ha
    • Tuberculosis and Respiratory Diseases
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    • v.79 no.3
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    • pp.121-126
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    • 2016
  • Lung function reportedly declines with age and that this decline is accelerated during disease progression. However, a recent study showed that the decline might peak in the mild and moderate stage. The prognosis of chronic obstructive pulmonary disease (COPD) can be improved if the disease is diagnosed in its early stages, prior to the peak of decline in lung function. This article reviews recent studies on early COPD and the possibility of applying the U.S. Preventive Services Task Force recommendation 2008 and 2015 for early detection of COPD in Korea.

Survival of Patients with Stomach Cancer and its Determinants in Kurdistan

  • Moradi, Ghobad;Karimi, Kohsar;Esmailnasab, Nader;Roshani, Daem
    • Asian Pacific Journal of Cancer Prevention
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    • v.17 no.7
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    • pp.3243-3248
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    • 2016
  • Background: Stomach cancer is the fourth most common cancer and the second leading cause of death from cancer in the world. In Iran, this type of cancer has high rates of incidence and mortality. This study aimed to assess the survival rate of patients with stomach cancer and its determinants in Kurdistan, a province with one of the highest incidence rates of stomach cancer in the country. Materials and Methods: We studied a total of 202 patients with stomach cancer who were admitted to Tohid Hospital in Sanandaj from 2009 to 2013. Using Kaplan-Meier nonparametric methods the survival rate of patients was calculated in terms of different levels of age at diagnosis, gender, education, residential area, occupation, underweight, and clinical variables including tumor histology, site of tumor, disease stage, and type of treatment. In addition, we compared the survival rates using the log-rank test. Finally, Cox proportional hazards regression was applied using Stata 12 and R 3.1.0 software. The significance level was set at 0.05. Results: The mean age at diagnosis was $64.7{\pm}12.0$ years. The survival rate of patients with stomach cancer was 43.9% and 7% at the first and the fifth year after diagnosis, respectively. The results of log-rank test showed significant relationships between survival and age at diagnosis, education, disease stage, type of treatment, and degree of being underweight (P<0.05). Moreover, according to the results of Cox proportional hazards regression model, the variables of education, disease stage, and type of treatment were associated with patient survival (P<0.05). Conclusions: The survival rate of patients with stomach cancer is low and the prognosis is very poor. Given the poor prognosis of the patients, it is critical to find ways for early diagnosis and facilitating timely access to effective treatment methods.