Research in medical informatics

Medical informatics is concerned with the application of computers in the medical and biological sciences and has been considered a field of research in its own right for more than twenty years. In Malaysia, however, there are very few published efforts in this area. To keep up with research activities carried out worldwide and to create expertise that will be in great demand once the Malaysian Multimedia Super Corridor (MSC) Telemedicine Flagship project is implemented, it is time that Malaysians involved themselves in medical informatics research activities. For this reason, we are proposing a project that will involve the application of an artificial neural network in the domain of cancer. As a prelude to our own research, we review current research in medical informatics. This paper subsequently proposes the use of an artificial neural networks as an alternative tool for investigating cancer survival

ANN as a tool for medical prognosis

The analysis of cancer survival is used to determine the efficiency of treatment programmes and protocols; it is also used to determine the type of treatment. At the individual level a prediction of cancer survival can help patients make informed decisions with regards to their quality of life and future finances. Currently available prediction methods apply to groups of people, and may not be adequate to predict treatment outcome for individual patients. This paper presents a conceptual model of a cancer knowledge base incorporating a computer-based predictor for survival. It proposes the use of an artificial neural network (ANN) as an alternative tool for investigating cancer survival. The focus of this research will be on nasopharyngeal carcinoma survival data collected in Malaysia

Epidermal growth factor receptor mutations in lung adenocarcinoma in Malaysian patients

Despite available data from other Asian countries, the prevalence of epidermal growth factor receptor (EGFR) mutations among lung adenocarcinoma patients has not been reported in Malaysia. This study sought to determine the frequency of EGFR mutations among multiethnic Malaysian patients diagnosed with lung adenocarcinoma. Demographic and clinical information of patients whose lung adenocarcinoma biopsy specimens were submitted for EGFR mutation testing at Sime Darby Medical Center from 2009 to 2011 were analyzed. EGFR mutations at exons 18, 19, 20, and 21 were detected either through bidirectional sequencing or real-time polymerase chain reaction. Among 812 patients in the study, 49% were female, 63.7% were ethnic Chinese, 29.4% Malay, 4.8% Indian, and 2.1% other ethnic groups. Mutations were present in the tumors of 321 patients (39.5%), with mutations at exons 19 (23.5%) and 21 (14.9%) being the most common. Mutations were significantly more frequent among women than in men (52.5% versus 27.8%, p < 0.001). Although mutations were more common among Chinese (40.8%) compared with Malay (37.2%) or Indian (33.3%) patients, the difference was not statistically significant (p = 0.591). Of 211 patients with smoking history records, never-smokers had a higher mutation rate compared with ever-smokers (54.8% versus 20.7%, p < 0.001). EGFR mutations were present in 39.5% of patients. Mutations were more common in women and never-smokers with no differences in mutation frequency between different ethnicities. Because of the high mutation rates, reflex testing for EGFR mutation should be a routine practice for advanced lung adenocarcinoma patients in Malaysia

Prognostic Systems for NPC: A comparison of the Neural Network Model and The Cox Proportional Hazards Model

Statistical methods such as the life-table, the Kaplan-Meier method and regression models, such as the Cox Proportional Hazard are usually used to model and predict survival data. Neural networks have been used in medicine for more than two decades, first, as an aid to diagnosis and treatment and then, recently, as a tool to study medical prognosis of aids, coronary heart disease, and a variety of cancer types. The use of neural networks to study the prognosis of nasopharyngeal carcinoma is, however, relatively new. In this paper we describe our research in the use of neural network to predict the prognosis of nasopharyngeal carcinoma. Two prognostic models for nasopharyngeal carcinoma were developed, namely the neural network model and the Cox model and their performance compared

Long-term survival of nasopharyngeal carcinoma patients treated with adjuvant chemotherapy subsequent to conventional radical radiotherapy

Purpose: To assess the long-term survival of patients with nasopharyngeal carcinoma (NPC) who were treated with conventional radical radiotherapy (RT) followed by adjuvant chemotherapy. Methods and Materials: Ninety-one newly diagnosed patients with Stage III and IV (American Joint Committee on Cancer, 1988) NPC, seen at the University of Malaya Medical Center, Kuala Lumpur, Malaysia between January 1992 and May 1997, were treated with RT followed by adjuvant chemotherapy. The tumor dose was 70 Gy delivered in 35 fractions, 5 fractions weekly. Three cycles of chemotherapy, each consisting of 5-fluorouracil, 1 g/m(2)/d on Days 1-4 and cisplatin 100 mg/m(2) on Day 1, were administered 3 weeks after RT completion. Thirty-six patients had Stage 11, 10 had Stage III, and 45 had Stage IV disease (AJCC 1997 staging system). Results: After a median follow-up of 61 months, the 5-year overall survival rate for all 91 patients was 80.1, the disease-free survival rate was 76, and the locoregional control rate was 85. The 3-year overall survival rate for Stage II was 94.3; it was 80 for Stage III and 79.8 for Stage IV (p = 0.0108). The 3-year DFS rate for Stage II was 90; it was 80 for Stage H and 65 for Stage IV. The rate of distant failure for Stage IV was 8.9. Conclusion: Radical RT followed by adjuvant chemotherapy was effective in our patients with locoregionally advanced NPC. The long-term results appear encouraging, even for patients with Stage IV disease. This single institution experience deserves further investigation in prospective trials

Supplementary Material for: A Phase 3 Study of Pembrolizumab Versus Placebo for Previously Treated Patients From Asia With Hepatocellular Carcinoma: Health-Related Quality of Life Analysis From KEYNOTE-394

Introduction KEYNOTE-394 showed pembrolizumab significantly improved overall survival, progression-free survival, and objective response rate with manageable safety versus placebo for patients from Asia with previously treated advanced hepatocellular carcinoma. We present results on health-related quality of life (HRQoL). Methods HRQoL was evaluated using the EORTC Quality of Life Questionnaire-Core 30 (EORTC QLQ-C30) and EuroQol-5D-3L (EQ-5D-3L) questionnaires. Key HRQoL endpoints were least squares mean (LSM) score changes from baseline to week 12 and time to deterioration (TTD) for EORTC QLQ-C30 global health status (GHS)/QoL. p values were one-sided and nominal without adjustment for multiplicity. Results The HRQoL population included patients randomly assigned to pembrolizumab (n = 298) and placebo (n = 152). From baseline to week 12, a greater decline in EORTC QLQ-C30 GHS/QoL score was observed with placebo (LSM, −8.4; 95% CI: −11.7 to −5.1) versus pembrolizumab (−4.0; 95% CI: −6.4 to −1.6; difference vs placebo: 4.4; 95% CI: 0.5–8.4; nominal p = 0.0142). Similarly, a greater decline in EQ-5D-3L visual analog scale score was observed with placebo (−6.9; 95% CI: −9.4 to −4.5) versus pembrolizumab (−2.7; 95% CI: −4.5 to −1.0; difference vs placebo: 4.2; 95% CI: 1.2–7.2; nominal p = 0.0030). TTD in EORTC QLQ-C30 GHS/QoL score was similar between arms (hazard ratio, 0.85; 95% CI: 0.58–1.25; nominal p = 0.1993). Conclusion Patients receiving placebo showed greater decline in HRQoL than those receiving pembrolizumab. Combined with efficacy and safety data from KEYNOTE-394 and the global KEYNOTE-240 and KEYNOTE-224 trials, our data support the clinically meaningful benefit and manageable tolerability of pembrolizumab as second-line therapy for patients with advanced hepatocellular carcinoma

Supplementary Material for: A Phase 3 Study of Pembrolizumab Versus Placebo for Previously Treated Patients From Asia With Hepatocellular Carcinoma: Health-Related Quality of Life Analysis From KEYNOTE-394

Introduction KEYNOTE-394 showed pembrolizumab significantly improved overall survival, progression-free survival, and objective response rate with manageable safety versus placebo for patients from Asia with previously treated advanced hepatocellular carcinoma. We present results on health-related quality of life (HRQoL). Methods HRQoL was evaluated using the EORTC Quality of Life Questionnaire-Core 30 (EORTC QLQ-C30) and EuroQol-5D-3L (EQ-5D-3L) questionnaires. Key HRQoL endpoints were least squares mean (LSM) score changes from baseline to week 12 and time to deterioration (TTD) for EORTC QLQ-C30 global health status (GHS)/QoL. p values were one-sided and nominal without adjustment for multiplicity. Results The HRQoL population included patients randomly assigned to pembrolizumab (n = 298) and placebo (n = 152). From baseline to week 12, a greater decline in EORTC QLQ-C30 GHS/QoL score was observed with placebo (LSM, −8.4; 95% CI: −11.7 to −5.1) versus pembrolizumab (−4.0; 95% CI: −6.4 to −1.6; difference vs placebo: 4.4; 95% CI: 0.5–8.4; nominal p = 0.0142). Similarly, a greater decline in EQ-5D-3L visual analog scale score was observed with placebo (−6.9; 95% CI: −9.4 to −4.5) versus pembrolizumab (−2.7; 95% CI: −4.5 to −1.0; difference vs placebo: 4.2; 95% CI: 1.2–7.2; nominal p = 0.0030). TTD in EORTC QLQ-C30 GHS/QoL score was similar between arms (hazard ratio, 0.85; 95% CI: 0.58–1.25; nominal p = 0.1993). Conclusion Patients receiving placebo showed greater decline in HRQoL than those receiving pembrolizumab. Combined with efficacy and safety data from KEYNOTE-394 and the global KEYNOTE-240 and KEYNOTE-224 trials, our data support the clinically meaningful benefit and manageable tolerability of pembrolizumab as second-line therapy for patients with advanced hepatocellular carcinoma

Supplementary Material for: A Phase 3 Study of Pembrolizumab Versus Placebo for Previously Treated Patients From Asia With Hepatocellular Carcinoma: Health-Related Quality of Life Analysis From KEYNOTE-394

Introduction KEYNOTE-394 showed pembrolizumab significantly improved overall survival, progression-free survival, and objective response rate with manageable safety versus placebo for patients from Asia with previously treated advanced hepatocellular carcinoma. We present results on health-related quality of life (HRQoL). Methods HRQoL was evaluated using the EORTC Quality of Life Questionnaire-Core 30 (EORTC QLQ-C30) and EuroQol-5D-3L (EQ-5D-3L) questionnaires. Key HRQoL endpoints were least squares mean (LSM) score changes from baseline to week 12 and time to deterioration (TTD) for EORTC QLQ-C30 global health status (GHS)/QoL. p values were one-sided and nominal without adjustment for multiplicity. Results The HRQoL population included patients randomly assigned to pembrolizumab (n = 298) and placebo (n = 152). From baseline to week 12, a greater decline in EORTC QLQ-C30 GHS/QoL score was observed with placebo (LSM, −8.4; 95% CI: −11.7 to −5.1) versus pembrolizumab (−4.0; 95% CI: −6.4 to −1.6; difference vs placebo: 4.4; 95% CI: 0.5–8.4; nominal p = 0.0142). Similarly, a greater decline in EQ-5D-3L visual analog scale score was observed with placebo (−6.9; 95% CI: −9.4 to −4.5) versus pembrolizumab (−2.7; 95% CI: −4.5 to −1.0; difference vs placebo: 4.2; 95% CI: 1.2–7.2; nominal p = 0.0030). TTD in EORTC QLQ-C30 GHS/QoL score was similar between arms (hazard ratio, 0.85; 95% CI: 0.58–1.25; nominal p = 0.1993). Conclusion Patients receiving placebo showed greater decline in HRQoL than those receiving pembrolizumab. Combined with efficacy and safety data from KEYNOTE-394 and the global KEYNOTE-240 and KEYNOTE-224 trials, our data support the clinically meaningful benefit and manageable tolerability of pembrolizumab as second-line therapy for patients with advanced hepatocellular carcinoma