Computed tomography colonography and radiation risk: How low can we go?
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Popic, Jelena
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Univ Zagreb, Sch Med, Dept Radiol, Univ Hosp Merkur, Zajceva 19, Zagreb 10000, CroatiaUniv Zagreb, Sch Med, Dept Radiol, Univ Hosp Merkur, Zajceva 19, Zagreb 10000, Croatia
Popic, Jelena
[1
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Tipuric, Sandra
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Hlth Ctr Zagreb East, Dept Family Med, Zagreb 10000, CroatiaUniv Zagreb, Sch Med, Dept Radiol, Univ Hosp Merkur, Zajceva 19, Zagreb 10000, Croatia
Tipuric, Sandra
[2
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Balen, Ivan
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Gen Hosp Slavonskibrod Dr Josip Bencevic, Dept Gastroenterol & Endocrinol, Slavonski Brod 35000, CroatiaUniv Zagreb, Sch Med, Dept Radiol, Univ Hosp Merkur, Zajceva 19, Zagreb 10000, Croatia
Balen, Ivan
[3
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Mrzljak, Anna
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Univ Zagreb, Sch Med, Dept Radiol, Univ Hosp Merkur, Zajceva 19, Zagreb 10000, CroatiaUniv Zagreb, Sch Med, Dept Radiol, Univ Hosp Merkur, Zajceva 19, Zagreb 10000, Croatia
Mrzljak, Anna
[1
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机构:
[1] Univ Zagreb, Sch Med, Dept Radiol, Univ Hosp Merkur, Zajceva 19, Zagreb 10000, Croatia
[2] Hlth Ctr Zagreb East, Dept Family Med, Zagreb 10000, Croatia
[3] Gen Hosp Slavonskibrod Dr Josip Bencevic, Dept Gastroenterol & Endocrinol, Slavonski Brod 35000, Croatia
Computed tomography colonography (CTC) has become a key examination in detecting colonic polyps and colorectal carcinoma (CRC). It is particularly useful after incomplete optical colonoscopy (OC) for patients with sedation risks and patients anxious about the risks or potential discomfort associated with OC. CTC's main advantages compared with OC are its non-invasive nature, better patient compliance, and the ability to assess the extracolonic disease. Despite these advantages, ionizing radiation remains the most significant burden of CTC. This opinion review comprehensively addresses the radiation risk of CTC, incorporating imaging technology refinements such as automatic tube current modulation, filtered back projections, lowering the tube voltage, and iterative reconstructions as tools for optimizing low and ultra-low dose protocols of CTC. Future perspectives arise from integrating artificial intelligence in computed tomography machines for the screening of CRC.