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NR 505 Week 3 Collaboration Cafe
Student Name
Chamberlain University
NR-505: Advanced Research Methods: Evidence-Based Practice
Prof. Name
Date
Week 3: Collaboration Café
Article Title
Are the studies on cancer risk from CT scans biased by indication? Elements of answer from a large-scale cohort study in France
British Journal of Cancer
Purpose
For this week’s assignment, the selected article closely aligns with the PICOT question regarding radiation exposure from CT scans in children and young adults. The purpose of this task is to critically appraise the research, assess its strengths and weaknesses, and discuss its relevance to clinical practice.
The PICOT question guiding this appraisal is: In children and young adults, does using a reduced radiation dose in computed tomography (CT) scans lower the lifetime risk of cancer compared to higher-dose exposure?
This French cohort study used a quantitative design to explore how CT radiation exposure during childhood and adolescence affects the likelihood of developing cancer. The researchers examined the connection between cumulative radiation exposure and cancer diagnoses while accounting for predisposing factors.
Research Design
The study employed a quantitative cohort design, emphasizing the collection and statistical analysis of numerical data. Quantitative research is effective for identifying relationships between variables in defined populations. In this study, the researchers analyzed whether CT scan exposure was correlated with increased cancer incidence among children. The use of a large sample size improved statistical reliability and enhanced the credibility of the findings.
Discussion of Sample
A non-probability sampling method was used to select participants. This allowed the researchers to include children who met specific inclusion criteria, such as age, timing of the first CT scan, and the absence of a prior cancer diagnosis.
Sample Characteristics
| Sample Characteristic | Description |
|---|---|
| Population Size | 67,274 children |
| Inclusion Criteria | Born after January 1, 1995; first CT scan before age 10 between 2000–2010; no cancer diagnosis at first scan |
| Sampling Method | Non-probability sampling |
| Rationale for Sampling | Quick, inexpensive, and suitable for targeted populations (Elfil & Negida, 2017) |
| Limitation of Method | Potential bias due to lack of representativeness of the general population (Elfil & Negida, 2017) |
While the sampling approach was efficient and cost-effective, it introduced limitations in generalizability because the sample may not represent the entire pediatric population.
Description of Data Collection Methods
Data were collected across 21 French university hospitals and 23 pediatric radiology departments using multiple data sources to ensure accuracy and completeness.
Data Sources
| Data Source | Purpose |
|---|---|
| Radiation Information Systems (RIS) | Provided technical data on CT radiation exposure |
| Hospital Discharge Databases | Supplied diagnostic and procedural information |
| Picture Archiving and Communication Systems (PACS) | Provided imaging records |
| Cancer Registries | Verified cancer diagnoses |
The data included cumulative radiation doses, patient demographics, and the anatomical areas scanned. Follow-up continued from the first CT scan until December 2011, cancer diagnosis, death, or the 15th birthday—whichever occurred first.
Summary of Findings
The study evaluated whether childhood CT scan exposure increased cancer risk. During a four-year follow-up period, the following cancer cases were reported:
| Cancer Type | Number of Cases |
|---|---|
| Central Nervous System Tumors | 27 |
| Leukemia | 25 |
| Lymphoma | 21 |
Approximately 32% of the children had cancer-predisposing factors. While potential links between CT exposure and cancer were observed, the authors cautioned that the short follow-up period limited definitive conclusions. They emphasized the need for longer follow-up studies to assess long-term cancer risks.
Strengths of the Study
Although not explicitly stated by the authors, several strengths were evident:
-
Large sample size of more than 67,000 children, enhancing statistical power.
-
Comprehensive data collection using hospital databases, imaging archives, and cancer registries ensured high data reliability.
-
Focus on a high-risk population, as children are more sensitive to radiation effects, increasing the clinical importance of the results.
These strengths reinforced the validity and reliability of the study’s conclusions.
Limitations of the Study
The research had notable limitations, primarily the risk of indication bias. CT scans may have been performed on children already at higher risk of cancer, either for diagnostic purposes or to monitor known conditions. This made it difficult to distinguish between cancer caused by radiation exposure and that resulting from pre-existing health factors.
Additionally, the limited follow-up period restricted the ability to evaluate long-term cancer outcomes. The authors recommended future studies include longer observation periods and more detailed data on predisposing conditions (Journy et al., 2015).
Recommendations for Future Practice
The findings and related literature support several practice recommendations:
| Recommendation | Description |
|---|---|
| Optimize CT Scan Usage | Perform CT scans only when absolutely necessary. |
| Radiation Dose Reduction | Tailor CT protocols to minimize radiation exposure in children. |
| Alternative Imaging Modalities | Utilize MRI and ultrasound, which do not involve ionizing radiation. |
| Extended Follow-Up Studies | Conduct long-term studies to assess lifetime cancer risks from CT exposure. |
Implementing these recommendations can help ensure safer diagnostic practices for pediatric and adolescent patients.
References
Elfil, M., & Negida, A. (2017). Sampling methods in clinical research: An educational review. Journal of Advanced Practice Oncology, 5(1), 2107. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5325924/
NR 505 Week 3 Collaboration Cafe
Journy, N., Rehel, J. L., Pointe, D. L., Lee, C., Brisse, H., Chateil, J. F., Caer-Lorho, S., Laurier, D., & Bernier, M. O. (2015). Are the studies on cancer risk from CT scans biased by indication? Elements of answer from a large-scale cohort study in France. British Journal of Cancer, 112(1), 185–193. https://www.nature.com/articles/bjc2014526
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