ArticleThe British journal of radiology2015
Radiographers' performance in chest X-ray interpretation: the Nigerian experience.
Article in The British journal of radiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Clinical artificial intelligence applications of vision-language foundation models.PLOS digital health · 2026Review
- Ensemble deep learning architectures for detecting pulmonary tuberculosis in chest X-rays.Scientific reports · 2026Article
- Radiologist workforce challenges and the burden of image interpretation in Ghana: Perspectives of frontline doctors and implications for healthcare delivery.PLOS global public health · 2026Article
- Frequency of Missed Findings on Chest Radiographs (CXRs) in an International, Multicenter Study: Application of AI to Reduce Missed Findings.Diagnostics (Basel, Switzerland) · 2022Article
- Performance of a Chest Radiography AI Algorithm for Detection of Missed or Mislabeled Findings: A Multicenter Study.Diagnostics (Basel, Switzerland) · 2022Article
- A review of teleradiology in Africa - Towards mobile teleradiology in Nigeria.SA journal of radiology · 2022Review
- Survey of practitioners' competency for diagnosis of acute diseases manifest on chest X-ray.BMC medical imaging · 2017Article
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Authors and funding
3 authors.
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Abstract
objectiveTo assess the performance of Nigerian radiographers in interpretation of plain chest radiographs and to assess whether age, years since qualification and sector of practice are associated with performance.
methodsA test set of 50 radiographs containing 23 cases with no pathology (normal) and 27 abnormal cases (cardiopulmonary conditions) independently confirmed by 3 radiologists were presented to 51 radiographers in a random order. Readers independently evaluated radiographs for absence or presence of disease and stated the location, radiographic features and diagnosis. Readers self-reported their age, years since qualification and sector of practice. Receiver operating characteristic was used to assess the performance. Mann-Whitney U test was used to assess whether age, years since qualification and sector of practice were associated with performance.
resultsMean location sensitivity was 88.9 [95% confidence interval (CI), 0.787-0.980]. Mean sensitivity and specificity were 76.9 (95% CI, 0.658-0.864) and 79.8 (95% CI, 0.658-0.864), respectively. Age was not associated with performance (p = 0.07). Number of years qualified as radiographer (p = 0.005) and private practice (p = 0.004) were positively associated with performance.
conclusionNigerian radiographers can correctly report chest radiographs to a reasonable standard, and performance is associated with number of years since qualification and the sector of practice. ADVANCES IN KNOWLEDGE: There are less than 300 radiologists serving a Nigerian population of about 170 million; therefore, X-ray interpretation by radiographers deserves consideration. Nigerian radiographers have potential to interpret chest X-ray in the clinical setting, and this may significantly improve radiology service delivery in this region.
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