Incidence and Mortality Life-Attributable Risks for Patients Subjected to Recurrent CT Examinations and Cumulative Effective Dose Exceeding 100 mSv
Abstract
:1. Introduction
2. Materials and Methods
2.1. Short-Listing Individuals with CED ≥ 100 mSv
2.2. Inclusion Criteria
2.3. Organ Dose Estimate
2.4. Assessment of Lifetime Attributable Risk Incidence and Mortality
2.5. Statistical Analysis
3. Results
3.1. Individuals with CED ≥ 100 mSv
3.2. Dose of Targeted Organs
3.3. Short-Listed LAR of Incidence and Mortality
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Hussain, S.; Mubeen, I.; Ullah, N.; Shah, S.S.; Khan, B.A.; Zahoor, M.; Ullah, R.; Khan, F.A.; Sultan, M.A. Modern diagnostic imaging technique applications and risk factors in the medical field: A review. BioMed Res. Int. 2022, 2022, 5164970. [Google Scholar] [CrossRef] [PubMed]
- Power, S.P.; Moloney, F.; Twomey, M.; James, K.; O’Connor, O.J.; Maher, M.M. Computed tomography and patient risk: Facts, perceptions and uncertainties. World J. Radiol. 2016, 8, 902–915. [Google Scholar] [CrossRef] [PubMed]
- Kumar, V.; Baburaj, V.; Patel, S.; Sharma, S.; Vaishya, R. Does the use of intraoperative CT scan improve outcomes in orthopedic surgery? A systematic review and meta-analysis of 871 cases. J. Clin. Orthop. Trauma 2021, 18, 216–223. [Google Scholar] [CrossRef] [PubMed]
- Su, C.; Meyer, M.; Pirker, R.; Voigt, W.; Shi, J.; Pilz, L.; Huber, M.M.; He, Y.; Wang, X.; Zhang, J.; et al. From diagnosis to therapy in lung cancer: Management of CT detected pulmonary nodules, a summary of the 2015 Chinese German lung cancer expert panel. Transl. Lung Cancer Res. 2016, 5, 377–388. [Google Scholar] [CrossRef] [PubMed]
- Barbour, V.; Thakore, S. Improving door to CT scanner times for potential stroke thrombolysis candidates—The emergency department’s role. BMJ Qual. Improv. Rep. 2017, 6, u211470.w4623. [Google Scholar] [CrossRef] [PubMed]
- Channon, K.M.; Newby, D.E.; Nicol, E.D.; Deanfield, J. Cardiovascular computed tomography imaging for coronary artery disease risk: Plaque, flow and fat. Heart 2022, 108, 1510–1515. [Google Scholar] [CrossRef] [PubMed]
- Smith-Bindman, R.; Miglioretti, D.L.; Larson, E.B. Rising use of diagnostic medical imaging in a large integrated health system: The use of imaging has skyrocketed in the past decade, but no one population or medical condition is responsible. Health Aff. 2008, 27, 1491–1502. [Google Scholar] [CrossRef] [PubMed]
- Marant-Micallef, C.; Shield, K.D.; Vignat, J.; Clero, E.; Kesminiene, A.; Hill, C.; Rogel, A.; Vacquier, B.; Bray, F.; Laurier, D.; et al. The risk of cancer attributable to diagnostic medical radiation: Estimation for France in 2015. Int. J. Cancer 2019, 144, 2954–2963. [Google Scholar] [CrossRef]
- de Base, M.B.; Morina, D.; Figuerola, J.; Barber, I.; Muchart, J.; Lee, C.; Cardis, E. Subtle excess in lifetime cancer risk related to CT: Scanning in Spanish young people. Environ. Int. 2018, 120, 1–10. [Google Scholar] [CrossRef]
- Cao, C.; Ma, K.; Liu, T.; Zhao, S.; Wan, Y.; Zhang, J.; Wang, H. CT scans and cancer risks: A systematic review and dose-response meta-analysis. BMC Cancer 2022, 22, 1238. [Google Scholar] [CrossRef]
- Monson, R.R.; Cleaver, J.E.; Abrams, H.L.; Buffler, P.A.; Cadis, E.; Cox, R.; Davis, S.; Dewey, W.C.; Gilbert, E.S.; Kellerer, A.M.; et al. Health Risks from Exposure to Low Levels of Ionizing Radiation: BEIR VII Phase 2; The National Academy of Science Engineering Medicine: Washington, DC, USA, 2006. [Google Scholar]
- Lumbreras, B.; Salinas, J.M.; Gonzalez-Alvarez, I. cumulative exposure to ionizing radiation from diagnostic imaging tests: A 12-year follow-up population-based analysis in Spain. BMJ Open 2019, 9, e030905. [Google Scholar] [CrossRef] [PubMed]
- Hauptmann, M.; Daniels, R.D.; Cardis, E.; Cullings, H.M.; Kendall, G.; Laurier, D.; Linet, M.S.; Little, M.P.; Lubin, J.H.; Preston, D.L.; et al. Epidemiological studies of low-dose ionizing radiation and cancer: Summary bias assessment and meta-analysis. J. Natl. Cancer Inst. Monogr. 2020, 56, lgaa010. [Google Scholar] [CrossRef] [PubMed]
- Popp, H.D.; Meyer, M.; Brendel, S.; Prinzhorn, W.; Naumann, N.; Weiss, C.; Seifarth, W.; Schoenberg, S.O.; Hofmann, W.; Henzler, T.; et al. Leukocyte DNA damage after reduced and conventional absorbed radiation doses using 3rd generation dual-source CT technology. Eur. J. Radiol. Open 2016, 3, 134–137. [Google Scholar] [CrossRef] [PubMed]
- Smith-Bindman, R.; Lipson, J.; Marcus r Kim, K.P.; Mahesh, M.; Gould, R.; Gonzalez, A.B.; Miglioretti, D. Radiation dose associated with common computed tomography examinations and the associated lifetime attributable risks of cancer. Arch. Intern. Med. 2009, 169, 2078–2086. [Google Scholar] [CrossRef] [PubMed]
- Rehani, M.M.; Yang, K.; Melick, E.R.; Heil, J.; Salat, D.; Sensakovic, W.; Liu, B. Patients undergoing recurrent CT scans: Assessing the magnitude. Eur. Radiol. 2019, 30, 1828–1836. [Google Scholar] [CrossRef] [PubMed]
- Rehani, M.M.; Hauptman, M. Estimates of the number of patients with high cumulative doses through recurrent CT exams in 35 OECD countries. Phys. Med. 2020, 76, 173–176. [Google Scholar] [CrossRef] [PubMed]
- Qaelum, N.V. Dose Patient Radiation Dose Monitoring System User Manual; Qaelum: Leuven, Belgium, 2019; pp. 1–135. [Google Scholar]
- Ding, A.; Gao, Y.; Liu, H.; Caracappa, P.F.; Long, D.J.; Bolch, W.E.; Liu, B.; Xu, X.G. VirtualDose: A software for reporting organ doses from CT for adult and pediatric patients. Phys. Med. Biol. 2015, 60, 5601–5625. [Google Scholar] [CrossRef] [PubMed]
- ICRP. 1990 Recommendations of the International Commission on Radiological Protection; ICRP Publication 60; ICRP: Ottawa, ON, Canada, 1990. [Google Scholar]
- ICRP. The 2007 Recommendation of the International Commission on Radiological Protection; ICRP Publication 103; ICRP: Ottawa, ON, Canada, 2007. [Google Scholar]
- Lawson, M.; Berk, K.; Badawy, M.; Qi, Y.; Kuganesan, A.; Metcalfe, P. Comparison of organ and effective dose estimations from different Monte Carlo simulation-based software methods in infant CT and comparison with direct phantom measurements. J. Appl. Med. Phys. 2022, 3, e13625. [Google Scholar] [CrossRef]
- DeMauri, A.; Brambilla, M.; Chiarinotti, D.; Matheoud, R.; Carriero, A.; De Leo, M. Estimated radiation exposure from medical imaging in hemodialysis patients. J. Am. Soc. Nephrol. 2011, 22, 571–578. [Google Scholar] [CrossRef]
- Coyle, J.; Kinsella, S.; McCarthy, S.; MacWilliams, S.; McLaughlin, P.; Eustace, J.; Maher, M.M. Cumulative ionizing radiation exposure in patients with end stage kidney disease: A 6-year retrospective analysis. Abdom. Imaging 2012, 37, 632–638. [Google Scholar] [CrossRef]
- Brambilla, M.; Cerini, P.; Lizio, D.; Vigna, L.; Carriero, A.; Fossaceca, R. Cumulative radiation dose and radiation risk from medical imaging in patients subjected to endovascular aortic aneurysm repair. Radiol. Med. 2015, 120, 563–570. [Google Scholar] [CrossRef] [PubMed]
- Kalender, G.; Milan, L.; Stock, U.A.; Endisch, A.; Kornberger, A. Long-term radiation exposure in patients undergoing EVAR: Reflecting clinical day-to-day practice to assess realistic radiation burden. Clin. Hemorheol. Microcirc. 2018, 71, 451–461. [Google Scholar] [CrossRef] [PubMed]
- Zewde, N.; Ria, F.; Rehani, M.M. Organ doses and cancer risk assessment in patients exposed to high doses from recurrent CT exams. Eur. J. Radiol. 2022, 149, 110224. [Google Scholar] [CrossRef] [PubMed]
- Dalah, E.Z.; Alsuwaidi, J.S.; Hamed, M.S.; Abdul Gani, A.; Beevi, H.A.; Panangatil, A.G.; Funtelar, C.O.; Ferrer, A.Y.; Al Hussein, S.G.; Albedwawi, S.A. Challenges experienced in establishing clinical indication based diagnostic reference levels: Pilot study. Eur. J. Radiol. 2022, 148, 110046. [Google Scholar] [CrossRef]
- Dalah, E.Z.; Obaideen, A.; Anam, S.; Khalid, M.; Nadishani, T.; Hashim, S.; Ghoshal, S.K. Cumulative lifetime attributablerisks for patients subjected to contrast enhance chest CT examinations. Radiat. Phys. Chem. 2021, 189, 109710. [Google Scholar] [CrossRef]
- Dalah, E.Z.; Obaideen, A.; Anam, S.; Alzimami, K.; Jambi, L.K.; Bradley, D.A. Gender based lung cancer risks for symptomatic coronary artery disease patients undergoing cardiac CT. PLoS ONE 2022, 17, e0265609. [Google Scholar] [CrossRef]
- Dalah, E.Z.; Bradley, D.A. Clinical and technical challenges associated with CT optimization. Radiat. Phys. Chem. 2024, 223, 111903. [Google Scholar] [CrossRef]
- Mattia, C.D.; Campanaro, F.; Rottoli, F.; Colombo, P.E.; Pola, A.; Vanzulli, A.; Torresin, A. Patient organ and effective dose estimation in CT: Comparison of four software applications. Eur. Radiol. Exp. 2020, 4, 14. [Google Scholar] [CrossRef]
CT Study/Number of CT Studies = 4406 | Gender | Age (Years) | Number of Recurrent CT |
---|---|---|---|
(No. Male and No. Female) | Median ± SD (Range) | ||
Abdomen/Pelvis with contrast, 1438 | 771 M, 667 F | 48.2 ± 18.3 (22–80) | 104 |
Polytrauma, 1038 | 932 M, 106 F | 28 ± 8.5 (22–34) | 34 |
KUB, 723 | 490 M, 233 F | 59 ± 18.7 (39–76) | 3 |
Brain Stroke with CTA, 663 | 486 M, 177 F | 63.8 ± 13.9 (40–80) | 18 |
Chest/Abdomen/Pelvis with contrast, 357 | 203 M, 154 F | 68.5 ± 7.9 (55–80) | 40 |
Triphasic Liver, 99 | 54 M, 45 F | 56.2 ± 13.4 (34–70) | 29 |
Abdominal Angiogram, 88 | 55 M, 33 F | 44.3 ± 22.7 (22–75) | 20 |
# | Gender/Age Range (Years) | History | Total Cumulative Effective Dose (mSv) | Average Study Interval (Days) | Radiological Exams | ||
---|---|---|---|---|---|---|---|
Total | CTs | General X-ray | |||||
1 | M/46 | Post right hemicolectomy and ileocolic anastomosis for perforated colon complicated with duodenal injury | 231.7 | 3.0 | 32 | 11 | 21 |
2 | M/57 | Liver tumor (cholangiocarcinoma | 223.0 | 46.3 | 7 | 4 | 3 |
3 | M/71–73 | Metastatic colon cancer with liver metastases post multiple surgeries | 220.9 | 16.2 | 36 | 9 | 27 |
4 | M/25–26 | Necrotizing pancreatitis | 214.8 | 1.7 | 61 | 7 | 53 |
5 | F/69–70 | Admitted with perianal abscess. Hospital course was complicated post-surgical by sepsis, intraabdominal collections | 190.1 | 8.4 | 35 | 12 | 23 |
6 | M/56–57 | Embolic superior mesenteric artery with bowel ischemia, Complicated exploratory laparotomy followed by multiple abdominal surgeries | 164.9 | 1.7 | 22 | 6 | 16 |
7 | M/22 | Necrotizing pancreatitis | 156.7 | 1.2 | 33 | 5 | 28 |
8 | M/33–34 | Necrotizing pancreatitis | 149.9 | 4.2 | 19 | 8 | 11 |
9 | M/62–63 | Decompensated liver cirrhosis complicated by metastatic HCC and Upper GI bleeding | 142.9 | 11.6 | 21 | 6 | 15 |
10 | M/62–63 | Pancreas cancer | 132 | 36.9 | 10 | 7 | 3 |
11 | M/43–46 | Bariatric surgery/sleeve gastrectomy, complicated by leakage and abscess formation | 129.4 | 38 | 17 | 3 | 14 |
12 | F/22–23 | Polytrauma with pelvic and femur fractures | 122.5 | 3.0 | 16 | 3 | 13 |
13 | M/79–81 | Cholangiocarcinoma, right lung adenocarcinoma post lobectomy and renal leiomyosarcoma | 121.9 | 41.3 | 23 | 7 | 16 |
14 | M/34 | Polytrauma with pelvic bone fractures and active pelvic bleeding | 121.1 | 2.9 | 8 | 3 | 5 |
15 | M/38–40 | Decompensated liver cirrhosis complicated by bacterial peritonitis | 117.3 | 19.9 | 28 | 8 | 20 |
16 | M/61 | Decompensated liver cirrhosis with HCC | 112.3 | 25 | 4 | 2 | 2 |
17 | F/70–72 | Breast cancer | 112.3 | 107.2 | 9 | 3 | 6 |
18 | F/33–34 | Class 3 severe obesity + DM + HTN and infertility | 108.1 | 195.3 | 4 | 2 | 2 |
19 | M/54–55 | Lumbar Spondylodiskitis + mediastinal lymphadenopathy | 103.3 | 12.9 | 20 | 5 | 15 |
20 | F/58–59 | DM + HTN + NAFLD/NASH + small colonic polyp and internal hemorrhoids (by colonoscopy) + adrenal adenoma | 103.3 | 200 | 3 | 2 | 1 |
21 | M/37–39 | Abdominal wall hernia, surgery complicated by abdominal wall collection | 102.9 | 120.8 | 9 | 4 | 5 |
22 | M/73–76 | Operated colon cancer + pulmonary embolism + retroperitoneal hematoma + DM and HTN | 101.9 | 25.2 | 35 | 12 | 23 |
No. | Organs | Age Groups (Years), Number of Cases Out of 100% | ||||||
---|---|---|---|---|---|---|---|---|
21–30, 14% | 31–40, 23% | 41–50, 9% | 51–60, 18% | 61–70, 18% | 71–80, 14% | 81–90, 5% | ||
Chest, Abdomen, Pelvis | Chest, Abdomen, Pelvis, Brain, Whole-Body | Chest, Abdomen, Pelvis, Brain | Chest, Abdomen, Pelvis, Brain | Chest, Abdomen, Pelvis, Brain | Chest, Abdomen, Pelvis, Brain | Chest, Abdomen, Pelvis, Brain | ||
Organ Dose in Median (mGy) IQR (25th–75th percentile) | ||||||||
1 | Bladder | 31.38 (21.74–31.45) | 19.31 (5.16–55.84) | 68.43 (51.12–85.74) | 15.13 (5.21–147.32) | 20.83 (21.73–40.01) | 1.25 (18.2–31.7) | 5.60 (0.05–11.74) |
2 | Bone-marrow (red) | 9.38 (8.44–15.48) | 7.53 (2.97–35.07) | 27.46 (21.24–33.67) | 10.48 (5.34–56.45) | 8.49 (10.68–43.11) | 2.34 (21.01–28.86) | 2.59 (0.22–5.14) |
3 | Brain | 0.22 (0.15–0.51) | 0.23 (0.15–95.06) | 5.07 (3.06–7.07) | 7.20 (1.01–15.62) | 0.23 (0.85–21.89) | 0.99 (1.75–132.47) | 0.12 (0.01–1.91) |
4 | Breast (female) | 1.61 (0.81–5.51) | 1.54 (1.14–6.61) | 6.19 (5.42–6.95) | 9.46 (2.48–21.70) | 1.77 (6.16–92.64) | 0.34 (2.14–57.58) | 0.49 (0.05–1.08) |
5 | Colon | 23.59 (16.91–52.98) | 21.09 (6.53–75.50) | 75.37 (56.33–94.42) | 19.62 (8.55–172.12) | 25.32 (28.31–81.47) | 2.53 (19.93–56.23) | 6.25 (0.01–15.92) |
6 | Gonads | 29.65 (21.93–37.43) | 17.75 (6.03–49.10) | 55.71 (46.86–64.55) | 13.00 (1.19–141.99) | 15.81 (12.24–21.84) | 1.44 (21.59–33.9) | 4.72 (0.01–10.80) |
7 | Liver | 24.03 (5.59–66.18) | 21.54 (8.02–79.18) | 77.01 (57.71–96.33) | 28.26 (10.64–183.10) | 27.30 (32.42–125.77) | 3.38 (21.09–72.92) | 6.35 (0.06–16.74) |
8 | Lung | 2.96 (1.02–9.13) | 3.21 (2.03–11.75) | 10.51 (8.65–12.36) | 15.52 (3.50–28.11) | 3.32 (8.14–95.60) | 0.58 (3.65–62.61) | 0.82 (0.10–2.03) |
9 | Esophagus | 0.59 (0.3–1.97) | 0.84 (0.41–23.95) | 3.82 (3.32–4.32) | 6.09 (2.93–8.58) | 0.66 (3.94–32.94) | 0.94 (12.01–26.31) | 0.32 (0.05–0.93) |
10 | Salivary glands | 0.39 (0.25–0.92) | 0.36 (0.26–83.70) | 6.64 (4.23–9.06) | 5.05 (1.81–17.10) | 0.41 (1.67–20.75) | 2.20 (3.44–104.26) | 0.20 (0.01–2.51) |
11 | Skin | 9.35 (8.88–16.36) | 7.29 (2.88–33.34) | 27.50 (38.35–63.48) | 9.87 (4.69–54.26) | 8.52 (10.21–38.42) | 2.49 (18.13–26.39) | 2.49 (0.24–5.30) |
12 | Stomach | 15.77 (3.87–43.05) | 14.19 (5.83–52.29) | 50.91 (38.35–63.48) | 21.86 (7.88–126.32) | 17.92 (22.55–103.25) | 2.84 (13.77–63.88) | 4.18 (0.07–11.00) |
13 | Thyroid | 0.46 (0.28–1.28) | 0.53 (0.32–43.95) | 3.64 (2.91–4.36) | 3.88 (1.82–4.49) | 0.5 (2.98–13.22) | 0.46 (9.87–11.69) | 0.24 (0.02–0.75) |
14 | Kidneys | 24.76 (5.46–68.45) | 22.22 (8.11–81.22) | 79.40 (59.44–99.35) | 29.20 (10.77–181.72) | 28.23 (32.69–126.20) | 3.37 (21.76–74.40) | 6.55 (0.05–17.28) |
15 | Lenses of the eye | 0.73 (0.48–0.99) | 0.85 (0.59–64.79) | 4.89 (3.71–6.06) | 8.44 (2.38–11.57) | 0.78 (1.10–15.49) | 0.69 (1.35–87.93) | 0.37 (0.02–1.65) |
16 | Uterus/Cervix (female) or Prostate (male) | 34.85 (24.26–35.83) | 18.75 (5.73–53.16) | 75.66 (56.30–95.01) | 15.16 (4.33–128.93) | 24.08 (21.46–32.28) | 1.76 (20.95–41.73) | 5.23 (0.09–12.70) |
Age Group (Year) Total Cases = 22 | Cumulative Effective Dose (mSv) | Organ Dose (mGy) Median (25th–75th percentile) | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Median | (Min–Max) | Bladder | Breast | Colon | Liver | Lung | Stomach | Thyroid | Uterus | Prostate | |
Male (17 cases, 77%) | |||||||||||
21–30, 12% | 185.75 | 156.70–214.80 | 26.60, (24.17–29.02) | - | 38.29 (30.94–45.63) | 45.11(34.57–55.64) | 6.05(4.50–7.59) | 29.41(22.59–36.23) | 0.8 (0.67–1.08) | - | 29.56 (26.91–32.20) |
31–40, 24% | 119.20 | 102.90–149.90 | 30.05 (7.57–37.13) | - | 15.93 (8.64–47.35) | 16.24 (9.48–49.36) | 3.37 (2.37–7.89) | 10.69 (6.51–32.40) | 1.14 (0.37–22.90) | - | 16.34 (8.45–37.34) |
41–50, 12% | 180.55 | 129.40–231.70 | 68.43 (51.12–85.74) | - | 75.38 (56.33–94.42) | 77.02 (57.71–96.33) | 10.51 (8.65–12.36) | 50.91 (38.35–63.48) | 3.64 (2.91–4.36) | - | 75.66 (56.30–95.01) |
51–60, 18% | 164.90 | 103.30–223.00 | 10.74 (3.36–19.51) | - | 18.19 (5.33–21.05) | 21.45 (7.03–35.06) | 5.37 (2.87–25.67) | 14.12 (5.80–29.60) | 3.48 (1.26–4.28) | - | 8.45 (2.96–21.87) |
61–70, 18% | 132.00 | 112.30–142.90 | 36.87 (20.83–41.06) | - | 68.80 (25.32–85.69) | 98.88 (27.30–134.73) | 73.55 (3.32–102.95) | 81.39 (17.92–110.54) | 11.46 (0.50–13.80) | - | 22.21 (21.21–34.39) |
71–80, 12% | 161.40 | 101.90–220.90 | 24.95 (21.58–28.33) | - | 33.83 (26.88–40.77) | 47.01 (34.05–59.96) | 24.36 (14.00–37.41) | 35.48 (24.63–46.34) | 11.44 (11.32–11.57) | - | 25.10 (23.02–27.17) |
81–90, 6% | 121.90 f | - | 36.43 f | - | 49.99 f | 52.73 f | 6.65 f | 34.69 f | 2.57 f | - | 36.94 f |
Female (5 Cases, 23%) | |||||||||||
21–30, 20% | 122.50 | - | 31.38 a | 0.81 a | 16.91 a | 5.59 a | 1.02 a | 3.87 a | 0.28 a | 35.83 a | - |
31–40, 20% | 108.10 b | - | 21.1 b | 1.54 b | 24.87 b | 25.54 b | 3.21 b | 17.57 b | 0.53 b | 18.75 b | - |
41–50, 0% | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | - |
51–60, 20% | 103.30 c | - | 189.2 c | 13.72 c | 222.48 c | 232.44 c | 28.92 c | 158.56 c | 4.56 c | 164.62 c | - |
61–70, 20% | 190.10 d | - | 24.44 d | 19.31 d | 37.26 d | 47.78 d | 22.61 d | 36.41 d | 10.42 d | 25.95 d | - |
71–80, 20% | 112.30 e | - | 26.39 e | 57.58 e | 56.23 e | 72.89 e | 62.61 e | 63.88 e | 9.87 e | 41.73 e | - |
81–90, 0% | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | - |
Age Group (Year) Total Cases = 22 | %LAR of Incidence per 100 Patients Median (IQR, 25th–75th Percentile) | ||||||||
---|---|---|---|---|---|---|---|---|---|
Bladder | Breast | Colon | Liver | Lung | Stomach | Thyroid | Uterus | Prostate | |
Male (17 Cases, 77%) | |||||||||
21–30, 12% | 0.26 (0.23–0.29) | - | 0.60 (0.47–0.74) | 0.12 (0.09–0.16) | 0.08 (0.06–0.11) | 0.11 (0.08–0.13) | 0.00 (0.00–0.00) | - | 0.13~(0.11–0.140) |
31–40, 24% | 0.12 (0.06–0.29) | - | 0.20 (0.11–0.58) | 0.03 (0.02–0.04) | 0.04 (0.02–0.08) | 0.03 (0.02–0.09) | 0.01 (0.00–0.01) | - | 0.10~(0.03–0.13) |
41–50, 12% | 0.53 (0.40–0.66) | - | 0.88 (0.66–1.11) | 0.15 (0.11–0.19) | 0.11 (0.09–0.13) | 0.13 (0.10–0.16) | 0.00 (0.00–0.00) | - | 0.26~(0.20–0.33) |
51–60, 18% | 0.07 (0.02–0.14) | - | 0.04 (0.01–0.05) | 0.03 (0.01–0.05) | 0.05 (0.03–0.24) | 0.03 (0.01–0.07) | 0.00 (0.00–0.00) | - | 0.02~(0.01–0.06) |
61–70, 18% | 0.20 (0.13–0.25) | - | 0.41 (0.23–0.61) | 0.13 (0.04–0.16) | 0.62 (0.03–0.83) | 0.15 (0.03–0.20) | 0.00 (0.00–0.00) | - | 0.05~(0.05–0.08) |
71–80, 12% | 0.10 (0.08–0.12) | - | 0.19 (0.14–0.23) | 0.03 (0.02–0.04) | 0.11 (0.07–0.16) | 0.04 (0.03–0.06) | 0.00 (0.00–0.00) | - | 0.03 (0.02–0.03) |
81–90, 6% | 0.08 f | - | 0.15 f | 0.02 f | 0.02 f | 0.00 f | 0.00 f | - | 0.02 f |
Female (5 Cases, 23%) | |||||||||
21–30, 20% | 0.32 a | 0.03 a | 0.18 a | 0.01 a | 0.03 a | 0.02 a | 0.00 a | 0.09 a | - |
31–40, 20% | 0.17 b | 0.03 b | 0.20 b | 0.03 b | 0.08 b | 0.06 b | 0.00 b | 0.03 b | - |
41–50, 0% | NA | NA | NA | NA | NA | NA | NA | NA | NA |
51–60, 20% | 1.24 c | 0.05 c | 1.41 c | 0.17 c | 0.59 c | 0.44 c | 0.00 c | 0.16 c | - |
61–70, 20% | 0.11 d | 0.02 d | 0.17 d | 0.02 d | 0.33 d | 0.07 d | 0.00 d | 0.01 d | - |
71–80, 20% | 0.11 e | 0.09 e | 0.22 e | 0.03 e | 0.79 e | 0.11 e | 0.00 e | 0.02 e | - |
81–90, 0% | NA | NA | NA | NA | NA | NA | NA | NA | NA |
Age Group (Year) Total Cases = 22 | %LAR of Incidence per 100 Patients | %LAR of Mortality per 100 Patients | ||
---|---|---|---|---|
Range (Min–Max) | Median | Range (Min–Max) | Median | |
Male (17 Cases, 77%) | ||||
21–30, 12% | 0.79–1.83 | 1.31 | 0.33–0.88 | 0.61 |
31–40, 24% | 0.10–3.05 | 0.46 | 0.07–1.52 | 0.20 |
41–50, 12% | 1.04–3.09 | 2.07 | 0.46–1.34 | 0.90 |
51–60, 18% | 0.12–0.50 | 0.34 | 0.10–0.44 | 0.23 |
61–70, 18% | 0.52–1.92 | 1.79 | 0.25–1.60 | 1.24 |
71–80, 12% | 0.22–0.78 | 0.50 | 0.13–0.59 | 0.36 |
81–90, 6% | - | 0.30 f | - | 0.30 f |
Female (5 Cases, 23%) | ||||
21–30, 20% | - | 0.69 a | - | 0.24 a |
31–40, 20% | - | 0.60 b | - | 0.28 b |
41–50, 0% | NA | NA | NA | NA |
51–60, 20% | - | 4.04 c | - | 2.14 c |
61–70, 20% | - | 0.74 d | - | 0.54 d |
71–80, 20% | - | 1.36 e | - | 1.12 e |
81–90, 0% | NA | NA | NA | NA |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Z. Dalah, E.; B. Mohamed, A.; M. Al Bastaki, U.; A. Khan, S. Incidence and Mortality Life-Attributable Risks for Patients Subjected to Recurrent CT Examinations and Cumulative Effective Dose Exceeding 100 mSv. Clin. Pract. 2024, 14, 1550-1561. https://doi.org/10.3390/clinpract14040125
Z. Dalah E, B. Mohamed A, M. Al Bastaki U, A. Khan S. Incidence and Mortality Life-Attributable Risks for Patients Subjected to Recurrent CT Examinations and Cumulative Effective Dose Exceeding 100 mSv. Clinics and Practice. 2024; 14(4):1550-1561. https://doi.org/10.3390/clinpract14040125
Chicago/Turabian StyleZ. Dalah, Entesar, Ahmed B. Mohamed, Usama M. Al Bastaki, and Sabaa A. Khan. 2024. "Incidence and Mortality Life-Attributable Risks for Patients Subjected to Recurrent CT Examinations and Cumulative Effective Dose Exceeding 100 mSv" Clinics and Practice 14, no. 4: 1550-1561. https://doi.org/10.3390/clinpract14040125