• Asian Pacific Journal of Cancer Prevention
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• v.14 no.12
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• pp.7409-7414
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• 2013

Background: Delay in diagnosis of breast cancer is associated with a poorer survival and a pivotal contribution to this delayed diagnosis comes from patient delay in presenting at a clinic. Reasons involved must be evaluated in order to decrease this reducible delay. Objectives: i) To evaluate the reasons for patient delay in diagnosis of breast cancer; ii) to investigate any association with other variables. Materials and Methods: A 6 month cross sectional study (from July 2012 to Dec 2012), was carried out in Surgical and Oncology Units of Civil Hospital, Karachi. A total of 100 females diagnosed with breast cancer of any histological type were interviewed after informed consent and relevant data were collected. Due ethical clearance was obtained. Results: Mean age was $47.5{\pm}12.1$ years with a range from 25-77 years. Mean duration of delay was $5.13{\pm}4.8$ months, from shortest 1 month to longest 36 months. Duration of delay was observed to be no delay (<1 month) in 28%, short delay (1-3 months) in 30% and long delay (>3 months) in 42% of patients. Considering the symptoms as "harmless" (39%) was the most frequent reason of delay followed by "temporary" (20%) and the "use of traditional methods" (12%). Most common reason for later approaches was an increase in the size of the lump (41%). Statistically significant association (p-value <0.05) of longer patient delay was obtained with being single, being illiterate, painless breast lump as the first symptom, negative family history of breast cancer and vague attribution of the symptoms. Conclusions: Significant delay in approach to health care facility was observed in our study due to variable reasons given by women. Sufficient awareness regarding breast cancer, its symptoms and favorable effects of a timely diagnosis on prognosis must be imparted to our general population.

• 제어로봇시스템학회:학술대회논문집
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• 1992.10a
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• pp.1109-1114
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• 1992

Modern chemical processes are becoming more complicated. The sophisticated chemical processes have needed the fault diagnosis pxpert systems that can detect and diagnose the fault diagnosis expert systems that can detect and diagnose the faults of some processes and give and advice to the operator in the event of process faults. We present the Time-Delay Neural Network(TDNN) approach for on-line fautl diagnosis. The on-line fault diagnosis system finds the exact origin of the fault of which the symptom is propagated continuously with time. The proposed method has been applied to a pilot distillation column to show the merits and applicability of the TDNN.

• Transactions of The Korea Fluid Power Systems Society
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• v.3 no.1
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• pp.7-14
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• 2006

In this paper, an in-process diagnosis method for performance of position control servo system was studied, which was based upon null bias, slew-rate ratio and delay time measurement. Slew-rate ratio and delay time were analyzed by theoretical analysis, computer simulation and experiment. As a result of these analysis, when spool of servovalve was weared, slew-rate ratio was decreased and delay time was increased.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.11
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• pp.5037-5040
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• 2016

Objectives: To determine the frequency of delayed diagnosis of oral squamous cell carcinoma in our setup; highlighting factors responsible for any delay and their possible relevance to demographic and diagnostic features. Methods: This cross sectional study of six months duration was conducted in the Oral and Maxillofacial Surgery Department of the Armed Forces Institute of Dentistry, Rawalpindi, Pakistan. A total of 246 patients, both male and female, having a biopsy proven definitive diagnosis of OSCC were included using a consecutive sampling technique. Delay in diagnosis was assessed from the stated period of time from when the patient first noticed symptoms of disease until a definitive diagnosis was made. We concluded delayed diagnosis if this was more than 40 days. Results: The ages of patients ranged from 27 to 60 years with a mean of $46.7{\pm}10.2$ years and a marked male predominance (3.7:1). Delayed diagnosis was observed in 91.5% of cases. However, statistically no significant differences were found with age, gender, marital, education status, household income and time of biopsy. Conclusion: Our primary finding of delayed diagnosis with no prior contact with any health care professional clearly reflects a need of taking urgent measures to avoid serious impacts on morbidity and mortality associated with OSCC.

• Journal of the Korean Society of Radiology
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• v.13 no.2
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• pp.305-311
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• 2019

In this study, present the most useful delay scan time by statistical analysis of SUVm data for 30 suspected pancreatic cancer patients. Two statistical analysis and a mathematical model was applied to the theoretical formula by glucose and insulin mechanics, and a mathematical model was created. Statistical analysis was performed via Metlab p/g. Optimal delay scan time was suggested by Metlab p/g for the change of SUV value over time.In this study, for diagnosis pancreatic cancer by dual time point PET/CT, propose optimal delay scan time 131.5 minuts. The proposed delay scan time showed statistical reliability applicable to the diagnosis of pancreatic cancer (p<0.05). Delayed scanning with the suggested delay scan time of 131.5 minutes is considered to be useful for the diagnosis of pancreatic cancer compared to general PET / CT scan.hen the delayed test is performed with the proposed delay scan time 131.5 minuts, Compared with general PET/CT scans.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.2
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• pp.759-765
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• 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.

• International Journal of Control, Automation, and Systems
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• v.1 no.3
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• pp.308-314
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• 2003

This paper presents a serial communication based fault diagnosis scheme for a brushless DC (BLDC) motor using parameter estimation and Bayes classifier. The presented scheme consists of a smart network board, and a fault detection and isolation (FDI) master. The smart network board is installed near the BLDC motor drive system to acquire motor data and transmit motor data to the FDI-master via serial communication channel. The FDI-master estimates BLDC motor resistance to detect symptom of faults, and assign symptom to fault type using Bayes classifier. In this scheme, since communication time delay has a serious effect on performance, periodic and fixed communication protocol is designed. Hence, the delay time is priory known. By experiment result, presented scheme was verified.

• Journal of the Korean Institute of Telematics and Electronics
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• v.26 no.8
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• pp.1217-1226
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• 1989

This paper describes a design of hardware system for real time automatic diagnosis of ECG arrhythmia based on pipeline processor consisting of three microcomputer. ECG data is acquisited by 12 bit A/D converter with hardware QRS triggered detector. Four diagnostic parameters-heart rate, morpholigy, axis, and ST segment-are used for the classification and the diagnosis of arrhythmia. The functions of the main CPU were distributed and processed with three microcomputers. Therefore the effective data process and the real time process using microcomputer can be obtained. The interconnection structure consisting of two common memory unit is designed to decrease the delay time caused by data transfer between processors and be which the delay time can be taken 1% of one clock period.

• Korean Journal of Radiology
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• v.24 no.10
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• pp.941-943
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• 2023

• The Journal of the Korean bone and joint tumor society
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• v.9 no.1
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• pp.18-23
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• 2003

Purpose: Delay in the diagnosis of the primary malignant bone tumors may critically influence the chance of the patients' survival and the limb sparing, but the primary malignant bone tumors are so rare that most doctors have little experience in these challenging diseases. The purpose of the current study is to examine the initial symptoms of osteosarcoma and chondrosarcoma, and to shorten the delay of diagnosis. Materials and Methods: The data was based on the questionnaires and the medical records from 139 patients whose histological diagnoses were confirmed in the authors' institution. There were 108 patients of osteosarcoma and 31 patients of chondrosarcoma. Eighty-six were male and fifty-three were female. The mean age of the patients was 20.2 years in osteosarcoma, and 42.4 years in chondrosarcoma. Results: The most common symptom that the patient consult the doctor was pain (93.5% of osteosarcoma patients and 61.3% of chondrosarcoma patients). Among them, 76.2% of osteosarcoma and 57.8% of chondrosarcoma patients complained the night pain. The history of trauma was evident in 48.5% of osteosarcoma patients and one patient of chondrosarcoma. At the first medical visit, the malignant bone tumor was suspected in 61.1% of osteosarcoma and 64.5% of chondrosarcoma patients. Fracture was the most common misdiagnosis in osteosarcoma (16.7%), and the osteomyelitis in chondrosarcoma (19.4%). Initial radiographic examination and the adult age were shown to increase the rate of correct diagnosis of both diseases (p<0.05). Patient's delay and doctor's delay were significantly longer in chondrosarcoma patients than in osteosarcoma. Initial radiography led to shorten the doctor's delay, and the axial location of the tumor lengthened the doctor's delay. Trauma and the young age were believed to shorten the patient's delay. Conclusion: Careful history taking, including the night pain and trauma, would be mandatory for the early diagnosis of the primary malignant bone tumors, and the initial radiographic examination and periodic follow-up can increase the rate of correct diagnosis.