1.Cancers of the lung, head and neck on the rise: perspectives on the genotoxicity of air pollution.
Ian Chi Kei WONG ; Yuen-Keng NG ; Vivian Wai Yan LUI
Chinese Journal of Cancer 2014;33(10):476-480
Outdoor air pollution has been recently classified as a class I human carcinogen by the World Health Organization (WHO). Cumulative evidence from across the globe shows that polluted air is associated with increased risk of lung, head and neck, and nasopharyngeal cancers--all of which affect the upper aerodigestive tract. Importantly, these cancers have been previously linked to smoking. In this article, we review epidemiologic and experimental evidence of the genotoxic and mutagenic effects of air pollution on DNA, purportedly a key mechanism for cancer development. The alarming increase in cancers of the upper aerodigestive tract in Asia suggests a need to focus government efforts and research on reducing air pollution, promoting clean energy, and investigating the carcinogenic effects of air pollution on humans.
Air Pollution
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adverse effects
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Asia
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Carcinogens
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DNA Damage
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Head and Neck Neoplasms
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Humans
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Lung Neoplasms
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Mutagenesis
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Nasopharyngeal Neoplasms
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Smoking
2.The association between new generation oral contraceptive pill and the development of inflammatory bowel diseases.
Santosh SANAGAPALLI ; Yanna KO ; Viraj KARIYAWASAM ; Siew C NG ; Whitney TANG ; Hithanadura Janaka DE SILVA ; Minhu CHEN ; Kaichun WU ; Satimai ANIWAN ; Ka Kei NG ; David ONG ; Qin OUYANG ; Ida HILMI ; Marcellus SIMADIBRATA ; Pises PISESPONGSA ; Saranya GOPIKRISHNA ; Rupert W LEONG
Intestinal Research 2018;16(3):409-415
BACKGROUND/AIMS: To examine the association between use of oral contraceptive pills (OCPs) and the risk of developing inflammatory bowel diseases (IBD), in a modern cohort. METHODS: A prospective nested case-control study across sites in the Asia-Pacific region was conducted; involving female IBD cases and asymptomatic controls. Subjects completed a questionnaire addressing questions related to OCP use. Primary outcome was the risk of development of IBD of those exposed to OCP versus non-exposure. Secondary outcomes were development of Crohn's disease (CD) versus ulcerative colitis (UC), and whether age of first use of OCP use may be associated with risk of IBD. RESULTS: Three hundred and forty-eight female IBD cases (41% CD, median age: 43 years) and 590 female age-matched controls were recruited. No significant association was found between OCP use and the risk of IBD (odds ratio [OR], 1.65; 95% confidence interval, 0.77–3.13; P=0.22), CD (OR, 1.55) or UC (OR, 1.01). The lack of association persisted when results were adjusted for age and smoking. IBD cases commenced OCP use at a younger age than controls (18 years vs. 20 years, P=0.049). CONCLUSIONS: In this large cohort of subjects from the Asia-Pacific region, we found a modest but not significantly increased risk of developing IBD amongst OCP users.
Case-Control Studies
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Cohort Studies
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Colitis, Ulcerative
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Contraceptives, Oral
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Crohn Disease
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Female
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Humans
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Inflammatory Bowel Diseases*
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Prospective Studies
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Smoke
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Smoking
3.Machine Learning-Based Computed Tomography-Derived Fractional Flow Reserve Predicts Need for Coronary Revascularisation Prior to Transcatheter Aortic Valve Implantation
Kai Dick David LEUNG ; Pan Pan NG ; Boris Chun Kei CHOW ; Keith Wan Hang CHIU ; Neeraj Ramesh MAHBOOBANI ; Yuet-Wong CHENG ; Eric Chi Yuen WONG ; Alan Ka Chun CHAN ; Augus Shing Fung CHUI ; Michael Kang-Yin LEE ; Jonan Chun Yin LEE
Cardiovascular Imaging Asia 2025;9(1):2-8
Objective:
Patients with severe symptomatic aortic stenosis are assessed for coronary artery disease (CAD) prior to transcatheter aortic valve implantation (TAVI) with treatment implications. Invasive coronary angiography (ICA) is the recommended modality but is associated with peri-procedural complications. Integrating machine learning (ML)-based computed tomography-derived fractional flow reserve (CT-FFR) into existing TAVI-planning CT protocol may aid exclusion of significant CAD and thus avoiding ICA in selected patients.
Materials and Methods:
A single-center, retrospective study was conducted, 41 TAVI candidates with both TAVI-planning CT and ICA performed were analyzed. CT datasets were evaluated by a ML-based CT-FFR software. Beta-blocker and nitroglycerin were not administered in these patients. The primary outcome was to identify significant CAD. The diagnostic performance of CT-FFR was compared against ICA.
Results:
On per-patient level, the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and diagnostic accuracy were 89%, 94%, 80%, 97% and 93%, respectively. On per-vessel level, the sensitivity, specificity, PPV, NPV and diagnostic accuracy were 75%, 94%, 67%, 96% and 92%, respectively. The area under the receiver operative characteristics curve per individual coronary vessels yielded overall 0.90 (95% confidence interval 85%–95%). ICA may be avoided in up to 80% of patients if CT-FFR results were negative.
Conclusion
ML-based CT-FFR can provide accurate screening capabilities for significant CAD thus avoiding ICA. Its integration to existing TAVI-planning CT is feasible with the potential of improving the safety and efficiency of pre-TAVI CAD assessment.