An existing risk diagnosing methodology (RDM) diagnoses corporate risk for product-innovation projects. However, it cannot evaluate and compare the risk levels of multiple alternatives in the product development stage. This paper proposes a modified risk diagnosis method to fill the gap of risk evaluation in selections of innovative product alternatives and the application of the method will be also illustrated by a case problem on alternative selections in electrical dimmer designs. With RDM as the foundation, a modified RDM (MRDM) is proposed to deal with the problem of selecting innovative project alternatives during the early stages of product development. The Bayesian network; a probabilistic graphical model, is adopted to support the risk pre-assessment stage in the MRDM. The MRDM is proposed by incorporating the risk pre-assessment stage into the foundation. By evaluating the engineering design risks in two electrical dimmer switches, an application of the MRDM in product innovation development is successfully exemplified. This paper strengthens the existing methodology for RDM in innovative product development projects to accommodate innovative alternatives. It is advantageous for companies to identify and measure the risks associated in product development so as to plan for appropriate risk mitigation strategies.
Khokher, Samina;Qureshi, Muhammad Usman;Mahmood, Saqib;Sadiq, Sadia
Asian Pacific Journal of Cancer Prevention
/
v.17
no.2
/
pp.759-765
/
2016
Background: Breast cancer is the most frequent cancer of women in Pakistan with the majority presenting with stage III or IV lesionsat initial diagnosis. Patient and health system related factors are well known determinants of delay in presentation and diagnosis. Additionally, breast cancer being a heterogeneous disease, the various molecular subtypes featuring different aggressiveness also need to be considered. The present study evaluated the association of stage at initial diagnosis of breast cancer with these two factors in local women at a tertiary level health care facility in Lahore, Pakistan. Materials and Methods: Patient and tumor features were recorded separately during diagnostic workup in Breast Clinics at INMOL and at Services Hospital, Lahore. Data were entered in MS Excel and analyzed by descriptive statistics and Chi-Square test. Results: Among the 261 patients, 64% were staged as late breast cancer (LBC), the mean age was 46.8 with standard deviation of 13 years. Some 92% had invasive ductal carcinoma (IDC), 61% had luminal types (LT) of non-aggressive tumor while 39% had the non-luminal types (NLT) of of HER2-enriched or basal aggressive tumors. While 70% of patients presented within one year of symptomatic disease (early report group "ERG"), 30% reported after a mean delay of 4 years with a standard deviation of 3.75 years. The stage distribution among ERG patients was not statistically different from those reporting late (P=0.123). Statistically larger proportion of patients with NLT presented as LBC as compared to the LT (P =0.034). Among the ERG, statistically different stage distribution of disease was observed for the NLT versus LT (P=0.047). Among those presenting late, this difference was insignificant (P=0.416). Conclusions: Breast cancer is a distinct disease in Pakistan with a high frequency of aggressive molecular types affecting younger women, with the majority presenting as LBC. Association of NLT with higher stage at diagnosis is statistically significant whereas time delay in diagnosis is not. Further research is required to define the risk profile and features in local patients. The burden of LBC can be reduced by promoting breast health awareness and by establishing easily accessible dedicated breast care set ups in the hospitals.
Background: Bronchioloalveolar cell carcinoma today needs further studies as an early diagnosis will drastically improve the chances of cure. Methods: Twenty-four cases of bronchioloalveolar cell carcinoma for the period of 5 years were studied in terms of incidence, age, sex, underlying diseases, symptoms, radiographic findings, methods of diagnosis, clinical and pathologic staging, methods of treatment, and survival retrospectively. Results: No correlation was found between patients' age, sex and underlying diseases. Most common symptoms were cough(62.5%), chest pain(29.2%), and sputum(29.2%). Of the 24 cases, 13 patients(54.2%) had solitary nodule, 6 patients(25%) had multiple nodules. At the time of diagnosis, 3 patients(12.5%) had the stage I diseases, 3 patients(12.5%) had the stage II diseases, 4 patients(16.7%) had the stage IIIa diseases, 3 patients(12.5%) had the stage IIIb diseases, and 11 patients(45.8%) had the stage IV diseases. 14 cases(58.3%) were found inoperable at the time of admission; they all died within 17 months. In 7 cases with stage I, II, IIIa diseases curative resection were attempted, in 1 case with stage IV disease wedge resection for palliative management was performed, and in 4 cases patients were still alive at the time of conclusion of this study. Conclusion: We conclude that early diagnosis of disease will increase operability and improve chances of survival and that aggressive diagnostic workup for suspicious pulmonary infiltrate is essential as early operation offers the best chances of cure.
Kim, Ji Young;Woo, Jungmin;Lee, Sang Shin;Kim, Hea Won;Khang, Dongwoo;Rim, Hyo-Deog
Korean Journal of Psychosomatic Medicine
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v.22
no.1
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pp.13-22
/
2014
Objectives : Breast cancer has been the most prevalent female cancer in South Korea since 2001. Early detection of this disease is the most effective strategy for reducing mortality. The objective of this study was to identify factors which could predict advanced stage at diagnosis of breast cancer. Methods : Participants who were initially diagnosed with breast cancer and referred to the Stress Clinic of the Breast Cancer Center at Kyungpook National University Hospital were included. Through a semi-structured interview, the authors investigated psychosocial variables such as the extent of marital and family functioning and emotional-economic family burden as well as sociodemographic and health behavior-, health characteristic- and cancer-related variables. Results : Data were collected from 219 participants. One hundred and twenty(54.8%) subjects were diagnosed with advanced-stage breast cancer. Variables that were significantly different between the advanced-stage and early-stage groups included : monthly breast self examination(p<0.000), annual mammographic screening(p<0.000), mode of tumor detection(p<0.000), nature of the first symptoms(p<0.000), time to treatment after diagnosis(p<0.000), overloaded economic and family burden(p=0.018), marital functioning(p<0.000) and family functioning(p<0.00). Logistic regression analysis indicated that irregular annual mammography screening(OR=7.431 ; 95% CI 2.407-22.944) or a lack of screening(OR=25.299 ; 95% CI 7.855-81.482) and a dysfunctional marital relationship(OR=4.772 ; 95% CI 2.244-10.145) were significantly associated with advanced stage at diagnosis of breast cancer. Conclusions : We reconfirmed screening behavior to be a risk factor for delayed diagnosis of breast cancer. Our findings also emphasized the importance of psychosocial factors such as marital functioning in early detection of breast cancer. Psychiatric consultation in the area of martial functioning could be beneficial for increasing early detection in breast cancer.
Objectives: To describe the survival experience of cervix cancer patients in a screened rural population in India. Methods: Included 558 cervical cancer patients diagnosed in 2000-2013 in a cohort of 100,258 women invited for screening during 2000-2003. The primary end point was death from cervical cancer. We used the Kaplan-Meier method to estimate cumulative observed survival and Cox proportional hazards regression to assess the effect of patient characteristics on survival after diagnosis. Results: Of the 558 cases included, 143 (26%) and 114 (20%) were diagnosed in stages IA and IB respectively; 252 (45.2%) were dead, and 306 (54.8%) were alive at the last follow-up. The overall 5-year observed survival was 60.5%. The 5-year survival of stage IA patients was 95.1% and 5.3% for stage IV patients. All surgically treated stage IA patients, 94.1% of stage IB patients receiving intracavitary radiotherapy, 62% of stage IIB, 49% of stage III and 25% of stage IV patients receiving radiotherapy survived for 5 years. Conclusion: Higher 5-year survival in our study than elsewhere in India is due to the high proportion of early stage cancers detected by screening combined with adequate treatment, resulting into a favourable prognosis.
Background: Hepatocellular carcinoma (HCC), the main malignant tumor of the liver, is very common and highly lethal. The aim of this study was to determine its clinicopathologic characteristics and risk factors in Turkey. Materials and methods: In this study, patients who were diagnosed as suffering from HCC in the period between August 2004 and December 2011 were evaluated retrospectively. Results: A total of 98 patients were included, with a median age 61 (range: 16 to 82). Seventy nine (80.6%) were male 59 (60.2%) were infected with hepatitis B virus (HBV) and 15 (15.3%) with HCV, another 15 (15.3%) being alcohol abusers. Seventy two (73.5%) were at advanced stage and 54 (55.1%) had elevated serum alpha-fetoprotein (AFP). Surgery, chemoembolization, systemic chemotherapy and application of the tyrosine kinase inhibitor sorafenib were the major treatment options. Conclusions: According to our findings HCC is mostly diagnosed in advanced stage and age, being five times more common in males than females. Main risk factors of HCC are HBV infection, HCV infection and alcohol abuse. Elevation in AFP may facilitate early diagnosis of HCC in high risk groups.
Background: Urothelial carcinoma (UC) is a malignant neoplasm that most commonly occurs in the urinary bladder. The primary aim of this study was to evaluate the clinicopathologic features, recurrence and progression in patients with bladder urothelial cancer. Materials and Methods: The medical records of patients diagnosed with UC in the state pathology laboratory between January 2006 and July 2014 were retrospectively included. Carcinomas were categorized according to age, gender, histologic grade, tumor configuration, pathologic staging, recurrence status, and progression. Results: A total of 125 (113 men, 12 women) patients were examined. The mean age was 65.9 years and the male-to-female urothelial cancer incidence ratio was 9.4:1. Low-grade UCs were observed in 85 (68%) and high-grade in 40 (32%). A papillary tumor pattern was observed in 67.2% of the UCs. Cases were classified with the following pathological grades: 34 (27.2%) cases of pTa, 70 (56%) of pT1, and 21 (16.8%) of pT2. Recurrence occurred in 27 (21.6%) patients. Ten progressed to a higher stage (pT1 to pT2), and three cases to higher grade (low to high). We also analyzed the results separately for 70 (56%) patients 65 years of age and older. Conclusions: With early detection and diagnosis of precursor lesions in older patients, by methods such as standard urologic evaluation, urinary cytology, ultrasound scanning and contrast urography, and cystoscopy, in addition to coordinated efforts between pathologists and urologists, early diagnosis may reduce the morbidity and mortality of patients with urothelial carcinoma.
Early-stage diagnosis of Alzheimer's Disease (AD) from Cognitively Normal (CN) patients is crucial because treatment at an early stage of AD can prevent further progress in the AD's severity in the future. Recently, computer-aided diagnosis using magnetic resonance image (MRI) has shown better performance in the classification of AD. However, these methods use a traditional machine learning algorithm that requires supervision and uses a combination of many complicated processes. In recent research, the performance of deep neural networks has outperformed the traditional machine learning algorithms. The ability to learn from the data and extract features on its own makes the neural networks less prone to errors. In this paper, a dense neural network is designed for binary classification of Alzheimer's disease. To create a classifier with better results, we studied result of different activation functions in the prediction. We obtained results from 5-folds validations with combinations of different activation functions and compared with each other, and the one with the best validation score is used to classify the test data. In this experiment, features used to train the model are obtained from the ADNI database after processing them using FreeSurfer software. For 5-folds validation, two groups: AD and CN are classified. The proposed DNN obtained better accuracy than the traditional machine learning algorithms and the compared previous studies for AD vs. CN, AD vs. Mild Cognitive Impairment (MCI), and MCI vs. CN classifications, respectively. This neural network is robust and better.
Sjögren syndrome is a chronic autoimmune inflammatory disease characterized by lymphocytic infiltration of exocrine glands, predominantly the parotid and lacrimal glands, thereby resulting in oral and ocular dryness. It has been reported to occur most frequently in women between 40 and 50 years of age. Sjögren syndrome has an insidious onset, is slowly progressive, and presents a wide range of clinical manifestations, leading to delays or challenges in the diagnosis. Early diagnosis of this condition is essential to prevent the associated complications that affect patients' quality of life. This report presents 3 cases of Sjögren syndrome in female patients aged between 40 and 75 years who presented with complaints of persistent dry mouth and burning sensation. The cases highlight the diagnostic value of 3-dimensional cone-beam computed tomographic sialography in the detection of salivary gland pathologies at an early stage.
Background: Hepatocellular carcinoma (HCC) is one of the most common cancers in men and the third most common cancer in woman in Thailand. This retrospective study was designed to assess the prevalence, clinical manifestations, treatment outcomes and prognosis of HCC in the central region of Thailand. Materials and Methods: The authors retrospectively reviewed all HCC patients aged more than 15 years old in Thammasat university hospital (TUH) during the period from January 2007 to December 2012. Clinical information, biochemical tests and radiologic findings were collected from review of medical records. Results: There were 308 patients with HCC, which accounted for the prevalence of 5.19% of all cancers diagnosed in TUH during the study period. Of these, 125 (40.5%) had complete information retrievable from their medical records and met the inclusion criteria, 99 (79.2%) were males. The mean age was 57.4 years. A quarter of HCC patients in this study presented without any symptom before diagnosis. The common clinical presentations in the remaining patients were hepatomegaly 64/125 (51.2%), abdominal pain 56/125 (44.8%) and ascites 16/125 (20.8%). Cirrhosis was seen in almost all patients (92.8%). The most common causes of HCC in this study were chronic hepatitis B (49.6%) and C (19.2%). Based on Barcelona Clinic Liver Cancer staging, 75.4% presented at intermediate or late stage. Patients receiving curative therapy with either surgical treatment or radiofrequency ablation had significantly longer survival time after the HCC diagnosis than the palliative therapy group (11.0 months vs 4.0 months, p value= 0.004). The mean survival time after the HCC diagnosis was 10.5 months. Conclusions: The common causes of HCC in central region of Thailand were chronic hepatitis B and C. Surgical therapy or RFA seemed to provide better outcomes than other treatments but only in patients with early stage lesions. Most of the patients in this study presented with advanced diseases and had grave prognosis. Appropriate screening patients at risk for HCC might be an appropriate way to achieve early diagnosis and improve the treatment outcome.
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