1Radiology Department of Faculty of Medicine, Herat University, Herat,Afghanistan. 2Department of Orthopedic and Spine Surgery, Jami Hospital, Herat,Afghanistan.
3Department of Pharmacy, Universiti Kebangsaan Malaysia Medical Centre, Kuala Lumpur, Malaysia.
4Department of Radiology, Qaem Hospital, Mashhad University of Medical Sciences, Mashhad, Iran . 5Department of Radiology, Universiti Kebangsaan Malaysia Medical Centre, Kuala Lumpur, Malaysia.
*Correspondi ng Author’s Email: abdulqadirqader@gm ail.com
Aim: This study aims to determine the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of non-enhanced CT (NECT) brain and contrast-enhanc ed computed tomography (CECT) as the ref erence standard in diagnosing brain abnormalities and to assess changes in diagnosis (if any) af ter reviewing the contrast-enhanced study. Methods: This isa descriptive retrospective cross-sectional study done by reviewing CT-scans perf ormed at Universiti Kebangsaan Malaysia Medical Centre f rom January to December 2015. NECT and its corresponding CECT brain scans were evaluated by a radiologist and a radiology resident independently on separate occasions. The f inal diagnosis was categorized as normal and abnormal. The sensitivity, specificity, PPV and NPV of NECT compared to CECT were calculated. Results: NECT and CECT brain scans obtained in 158 patients f o r indications other than trauma were reviewed. 50.63% (n=80) and 49.37% (n=78) of them are male and f emale respectively. Both paediatric and adult patients were included in this study, with a mean age of 49.33 (range=6 months to 92 years old). The sensitivity, specif icity, PPV and NPV of NECT brain were found to be 95%, 100%, 100% and 86.7% respectively. Conclusion: NECT brain demonstrated high sensitivity, specif icity and PPV. 6 out of 158 (3.8% ) NECT brain f ailed to identif y brain abnormality which were then seen on CECT. CECT following normal NECT should be limited to patient who i) has positive neurological sign af ter exclusion of stroke, ii) is a known case of primary tumor, iii) has inf lammatory/ inf ective disease i.e tuberculosis.
Keywords: CT Brain; Normal and Abnormal CT Brain; Non-Enhanc ed CT Brain; Contras ted CT Brain
Computed tomography (CT) is a diagnostic imaging that utilises a combination of x-ray beam and computer technology to generate axial images of the body. CT has been used extensively for imaging of lesions in the brain in paediatric and adult patients. A CT-scan generates accurat e images of many body parts, including the muscles, f at, bones and organs. The two main forms of CT scans are non- enhanced computed tomography (NECT) and contrast-enhanc ed computed tomography (CECT). Contrast, a substance injected intravenously, helps to enhance tissue structures, highlight blood vessels and hence helps to verif y the target area of concern in CECT (Kocak, 2022).
Previous studies demonstrated that contrast enhancem ent is only usef ul when the initial unenhanced scan showed abnormalities and when there is a suspicion of intracranial abnormalit y suggested by persistent focal signs and symptoms (Minné et al., 2014). CT-brain with the administration of intravenous contrast medium has limited benef its compared to NECT brain and incurs
Received: 11th July 2023; Revised version received on: 15th August 2023; Accepted: 1st October 2023
increased cost, causes patient discomfort and also increases the risk of morbidity and mortality when contrast reaction occurs. These are some of the essential f actors to be considered bef ore subjecting patients to undergo CECT. (Huckman, 1975).
A previous study by Ibrahim et al. (2012) conducted at our institution, Universiti Kebangsaan Malaysia Medical Centre (UKMMC), Kuala Lumpur, identif ied CT as one of the radiology investigations that consumed a great amount of resources. The cost of CECT was almost double of that of NECT. In an era that emphasizes on cost-ef f ective and evidence-based medical interventions, studies onthe comparative accuracy of less costly diagnostic and imaging techniques are of paramount importance. To our knowledge, there is no previous study on the diagnostic accuracy of NE CT brain done in the local setting. This retrospective study was done to determine the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of NECT, by employing CECT as the ref erence standard, in diagnosing brain abnormalities and to assess changes in diagnosis (if any) af ter reviewing the CECT. We hypothesized that the sensitivity of NECT brain is relatively high and comparable to CECT brain in ruling out brain abnormalities .
This is a descriptive retrospective cross-sectional study. Ethical approval was obtained f rom the Research and Ethics Committee Universiti Kebangsaan Malaysia (RECUKM) (Ethical approval code: FF-2016-423). The need f o r written inf ormed consent was waived by RECUKM due to the retrospective nature of the study. All patients irrespective of age with an indication other than trauma who had NECT brain followed by CECT brain done in the same setting or within 48 hours in UKMMC Radiology Department f rom January to December 2015 were included in this study. Cases where only plain or contrasted CT scan was perf ormed were excluded f rom the study.
Sample size required was calculated using Cochran’s equation. Sensitivity and specif icity of NECT were estimated to be 94% and 100% respectively based on a similar study by Demaerel et al (1998). Sensitivity of 94% was utilized f o r sample size calculation as it resulted in larger sample size requirement compared to specificity. This study requires 87 samples at 5% precision and 95% signif icance level.
<The CT scans were evaluated by a radiologist and a radiology resident. Reviewers were asked to review the NECT brain while blinded f rom the f indings of CECT brain. After reviewing all the NECT images, contrasted CT brain scans were reviewed. Reviewers were also blinded to the official report/interpret ation of the scans. Images were viewed at a standard soft-tissue algorithm with a window width of 80 Hounsf ield Unit (HU) and a window level of 40 HU. As per usual clinical practice, images were also viewed at multiple window levels and widths apart f rom the standard setting. When available, bone windows and/or bone algorithms were reviewed. Each NECT and CECT scan was assigned a unique number code. The order of the scans to be reviewed by each reviewer was randomly assigned. Each NECT and CECT scan was categorized by the reviewers as normal or abnormal. Data was collected manually by employing a data collection sheet. The flow of study procedure was summarized in Table 1.
Retrieval of patient case f rom the hospital computer system f o r cases which f ulf ill the criteriabelow:
↓ | |
1st Reader (Radiologist) | 2nd Reader (Radiology Resident) |
Review NECT scans ↓ Review CECT scans at a separate time af ter all patients’ NECT scans have been reviewed . ↓ | Review NECT scans ↓ Review CECT scans at a separate time af ter all patients’ NECT scans have been reviewed . ↓ | ||
Data Collection and Result Interpretation | |||
Abnormalities on both NECT and CECT brain | Normal f indings on both NECT and CECT brain | Abnormal on NE CT but normal on CE CT brain | Normal on NECT but abnormal on CECT brain |
True positive (The diagnosis made at NECT was conf irmed by CECT) | True negative (No f urther inf ormation was obtained) | False positive (The f indings at CECT changed the initial diagnosis) | False negative (The f indings at CECT changed the initial diagnosis) |
The CECT scans were used as the reference standard. With regard to each anatomic compartment evaluated, scans that showed abnormal f indings on both NECT and CECT were classified as true positive. Scans with normal f indings on both NECT and CECT were classified as true negative. Scans that revealed abnormal f indings on NECT and normal f indings on CECT were classified as false positive. Scans that were interpreted as normal on NECT but showed abnormal f indings on CECT were classified as false negative. The rates of true positive, true negative, false positive, and false negative rates were utilized to calculate the sensitivity, specificity, PPV and NPV of NECT, using CECT as the referenc e standard.
A total of 158 patients were included. Baseline characteristics of the patients are summarized in Table 2. The gender distribution was more or less equal, 50.63% (n=80) of the patients are male and 49.37% (n=78) of them are female. Both paediatric and adult patients were recruited to the study (range: 6 months-92 years old) with a mean age of 49.33 years old. They were f rom 6 different races, namely Malay (n=88, 55.7%), Chinese (n=55, 34.8%), Indian (n=10, 6.3%), Myanmar, (n=3, 1.9%), Somalian (n=1, 0.63 %) and
Nigerian (n=1, 0.63%).
Patient Characteristics | Frequency, n | Percentage (%) |
Gender | ||
Male | 80 | 50.6 |
Female | 78 | 49.4 |
Race | ||
Malay | 88 | 55.7 |
Chinese | 55 | 34.8 |
Indian | 10 | 6.3 |
Myanmar | 3 | 1.9 |
Nigerian | 1 | 0.6 |
Somalian | 1 | 0.6 |
Age | median = 54 | range = 0.5-92 |
There was no discrepancy in CT brain result interpretation between the two reviewers.
The number of patients with normal NECT and CECT [true negative] was 39 (24.7%) and the number of patients with abnormal NECT and CECT [true positive] was 113 (71.5%). Figure 1 shows an example of the imaging of true positive results. None of the patient had abnormal NECT but normal CECT [false positive]. Frequency of true negative, true positive, false negative and false positive was summarized in Table 3.
Finding at unenhanced CT (Initial diagnosis) | Finding at Contrast enhanced CT (final vdiagnosis) | No of scans (n=158) | Diagnostic Status |
Normal | Normal | n=39, 24.7 % | True negative |
Abnormal | Abnormal | n=113, 71.5 % | True positive |
Normal | Abnormal | n=6, 3.8 % | False negative |
Abnormal | Normal | 0 | False positive |
In 6 out of 158 patients (3.8%) the NECT was reported as normal but CECT was reported with brain abnormality [false negative]. Among them, leptomeningeal enhancement on CECT was showed in three cases in keeping with meningitis. Nevertheless, these had no clinical impact as the diagnosis of meningitis and sign of increased intracranial pressure should be based on clinical assessment rather than imaging. An example of false negative result is shown in Figure 2. The remaining three false negative cases showed imaging f indings and/or diagnosis as follow: multiple parenchymal nodules suggestive of neuro tuberculosis (Figure 3), small sphenoid wing meningioma (Figure 4) and multiple metastatic nodule (Figure 5). Abnormalities that were detected by CECT but not by the initial NECT are categorized into infective and neoplastic and are summarised in Table 4. Sensitivity, specificity, PPV and NPV of NECT were calculated as 95%, 100%, 100% and 86.7% respectively (Table 5a and Table 5b).
Classification of findings | Presumed diagnosis based on CECT | Radiological features | Number of Cases |
Inf ective | Meningoencep halitis | Leptomeningeal enhancement | 3 |
Neurotuberculosis | Multiple enhancing parenchymal nodules | 1 | |
Neoplastic | Sphenoid wing Meningioma | Avid enhancement small extra axial mass | 1 |
Metastasis f rom a known primary | Enhancing nodules | 1 | |
Total | 6 |
a True positive = 113 (71.5 %) | b False Positive =0 % |
c False Negative = 6 (3.8 %) | d True Negative= 39 (24.7%) |
Sensitivity = 𝑇𝑇𝑇𝑇 = 𝑎𝑎
𝑇𝑇𝑇𝑇+ 𝐹𝐹𝐹𝐹 𝑎𝑎 + 𝑐𝑐 113 = 95 % 113 + 6 | Specificity = 𝑇𝑇𝐹𝐹 = 𝑑𝑑
𝑇𝑇𝐹𝐹+ 𝐹𝐹𝑇𝑇 𝑑𝑑 + 𝑏𝑏 39 = 100 % 39 + 0 |
Positive predictive value= 𝑇𝑇𝑇𝑇 = 𝑎𝑎 𝑇𝑇𝑇𝑇+ 𝐹𝐹𝑇𝑇 𝑎𝑎 + 𝑏 𝑏 113 = 100 % 113 + 0 | Negative predictive value= 𝑇𝑇𝐹𝐹 = 𝑑𝑑 𝑇𝑇𝐹𝐹+ 𝐹𝐹𝐹𝐹 𝑑𝑑 + 𝑐 𝑐 39 = 86.7 % 39 +6 |
Contrast-Enhanced | Total | ||||
Normal | Abnormal | ||||
Non- Enhanced | Normal | Count | 39 | 6 | 45 |
% within NonEnhanced | NPV 86.7% | 13.30% | 100.00% | ||
% within ContrastEnhanced | Specificity 100.0% | 5.00% | 28.50% | ||
% of Total | 24.70% | 3.80% | 28.50% | ||
Abnormal | Count | 0 | 113 | 113 | |
% within NonEnhanced | 0.00% | PPV 100.0% | 100.00% | ||
% within ContrastEnhanced | 0.00% | Sensitivity 95.0% | 71.50% | ||
% of Total | 0.00% | 71.50% | 71.50% | ||
Total | Count | 39 | 119 | 158 | |
% within NonEnhanced | 24.70% | 75.30% | 100.00% | ||
% within ContrastEnhanced | 100.00% | 100.00% | 100.00% |
NPV=Negative predictive value, PPV=Positive predictive value
In our study, false negative results occurred in 3.8% of the cases. The missed diagnosis on NECT may be attributable to several imaging and reviewer factors. Examples of imaging factors are the quality of the diagnostic images, the presence or absence of secondary signs and the density and size of the abnormal f indings. Pathology is not visible on an NECT when there is an absence of secondary signs like oedema or mass effect and when it is isodense to the surrounding parenchyma (Minné et al., 2014).
On the other hand, accuracy of a radiologist’s report can be inf luenced by interruptions, inaccurate or incomplete clinical history, unavailability of previous investigations f o r comparison, poor quality examination and poor viewing conditions. (European Society of Radiology, 2004; Royal College of Radiologists, 1995 and Talan et al., 1989). We did not
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provide clinical history of each individual case to the reviewers in our study as doing so would have created an interpretive bias. NECT and CECT
were reviewed at separate timing rather than one after another. This was to prevent a potential bias and to prevent the reviewers f rom changing their initial evaluation of the NECT.
Among the six abnormalities that were missed on NECT, three of them (50%) were diagnosed as meningitis on post contrast administration CT scan. There was no significant clinical impact in these 3 casesas the diagnosis of meningitis should not be based on imaging but rather on clinical assessment. A study by Nagra et al. (2011) showed that about 86%- 88% of patients with meningitis showed normal CT f indings and only a small number (2- 4%) of these patients had abnormal CT scan leading to contraindication f o r lumbar puncture. In other words, normal CT results would not exclude meningitis. Instead of depending on radiological findings, the safety of conducting a lumbar puncture should be a clinical decision. As indicators of raised intracranial pressure, clinical predictors such as altered mental status, papilledema or focal neurology and the overall clinical impression are more useful compared to CT brain f indings (Cabral et al., 1987). A comprehensive and detailed clinical assessment done before radiological imaging is of paramount importance as the imaging f inding may not be suggestive of raised intracranial pressure, resulting in false reassurance f o r the clinicians (Cartwright et al., 1992 and Strang & Pugh, 1992).
One of the six patients whom the NECT failed to detect the abnormality was diagnosed as meningioma by CECT. This was because the lesion was isodense to the brain parenchym a and there was lack of calcification on NECT. However, the lesion demonstrated avid enhancement on CECT, hence suggesting the atypical features of meningioma. Subsequent biopsy of the lesion provided a f inal diagnosis of angiomatous meningioma. This patient presented with multiple episodes of fitting and a history of tongue biting and ictal drowsiness as well as a Glasgow Coma Scale (GCS) of 12/15. Majority (60%) of meningiomacases would have hyperdense on plain CT, however about 40% of meningioma will demonstrate isodense to the brain parenchyma. Calcifications are seen in 20-30% of meningioma (Greenberg, Chandler and Sandler, 1999).
The other two missed NECT brain cases were namely brain metastasis and neurotuberculosis. In both cases, CECT showed multiple small intraparenchy mal enhancing nodules with lack of perilesional edema. NECT failed to identify the lesions as they were isodense to the brain parenchyma and there was an absence of perilesion al edema. The patient with cerebral metastasis presented with vomiting and headache and was a known case of lung adenocarcinoma with lung metastasis. The patient with neurotuberculosis presented with ataxic gait and right sided limb weakness and was a known case of miliary tuberculosis.
The results of our study were in congruence with published literature, including both retrospective and prospective studies, conducted among adult and paediatric populations. In a study by Branson et al. (2007),353 CT scans of paediatric patients were reviewed and the sensitivity of NECTbrain in children was reported as 97%, with 2.7% (5 of 183 cases) showed change in diagnosis after performing CECT following normalor equivocally abnormal NECT. They concluded that NECT brain in the paediatric population has high sensitivity and specificity in the diagnosis of pathologic f indings. Performing CECT following NECT brain in this population did not f requently result in a change in the f inal diagnosis. The sensitivity (97%) and false negative rate (2.7%) of the study are comparable to our study with a corresponding value of 95% and 3.8% respectively.
A study by Chishti et al. (2003) demonstrated the role of intravenous iodinated contrast media in CT brain in selected patients. Among 547 cases, an abnormality was observ ed on the CECT exclusively but not on the NECT in 3 cases (0.5%). The initial diagnosis based on NECTwas changed in 15 cases (2.7%) after reviewing the subsequent CECT. A prospective study by Bernard , Hourihan & Adams (1991) reported an important but limited role of CECT in patients with focal lesions. Therefore, in agreement with published literature, it is reasonable not to give contrast when the NECT is normal if there is a low suspicion of the presence of a lesion.
Wood et al. (1990) retrospectively reviewed 322 cases and evaluated the role of CECT in patients in the emergency room f o r non-trauma indications. Abnormalities, which were not
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evident on the initial NECT, were observed on the CECT 3 cases (1.25%). Similar to the f indings in our study, additional information obtained from CECTdid notresult in a change in patient management. As such, it was concluded that if an NECT is normal in an acute setting, subsequent CECT is not necessary in most circumstances. To the best of authors’ knowledge, no false positive in NECT has been reported in the literature. This is in congruence with our study result where NECT demonstrated a specificity of 100%.
In selected situations where CECT brain is recommended, several factors need to be considered. Radiation exposure is one of the most decisive factors to be taken into account as ionising radiation can lead to many adverse effects, including the induction of cancer. The cancer-inducing potential of radiation is not confined to a threshold dose. In other words, even a small dose of ionising radiation carries such a risk. The dose of contrast agent is also cumulative from each CT done. A retrospective cohort study by Pearce et al. (2012) demonstrated a positive correlation between the CT radiation dose received in childhood and the occurrence of brain tumours and leukemia later in lif e. A radiation dose of around 4
mSv (equivalent to 200 chest radiographs) is deemed necessary. Consequential NECT and CECT results in double the radiation dose and hence carry twice as much risk f o r cancer development. In line with the ALARA (As Low As Reasonably Achievable) principle, radiologists should limit radiation exposure to a lowest possible amount (Shah & Platt, 2008).
The types of contrast agents, their respective risks and contraindications as well as common clinical scenarios in which CECT is indicated are some of the important factors when deciding on the type CT scan to be utilized. A history of reactions to specific contrast agents, chronic or acutely worsening renal diseases, pregnancy, radioactive iodine treatment f o r thyroid disease and concomitant metformin use are contraindications f o r using contrast agents. Timely and effective communication in the multidisciplinary team, especially between physicians and radiologists is of paramount importance in performing the most suitable radiological investigation at the lowest cost and risk to the patient (Rawson & Pelletier, 2013). The use of contrast agents is also associated with a risk of adverse reactions, which can be further classified into general and organ-specific reactions resulting in nephro-, pulmonary , cardiovascular and neurotoxicity. (Namasivayam et al., 2006). Another important consideration is the cost of the procedure, which includes the cost of contrast media and the operational expenses of radiological imaging facilities. When only one type of investigation, either NECT or CECT, was selected and performed based on clinical indications, throughput of patients can be increased while the cost incurred to both patients and healthcare institutions can be reduced.
To sum up, owing to the risk of radiation dose and contrast reactions as well as the overall cost (including contract media and other operational cost), we would suggest limiting the utilization of CECTbrain in patients with the following history: (a) positive neurological sign and symptoms in a non-obvious cerebral infarct, (b) a known case of primary tumour to look for metastasis and (c) inflammatory or infection e.g. tuberculosis.
The main limitation of our study was small numbers of patients who had both NECT and CECT brain at the same setting or within 48 hours. Some of our patients who had suspic ious abnormality on NECT had subsequent MRI brain f o r further assessment of the suspected abnormality without proceeding to CECT. Some of the patients performed both NECT and CECT but beyond the timeframe of 48 hours due to logistic reasons and institutional reasons like lack of resources. Multi-centre study with larger sample size could be carried out in the future to study the need of CECT in specific clinical conditions.NECT brain demonstrated very high sensitivity, specificity and PPV. NECT failed to detect abnormality in 6 out of 158 cases (3.8 %), with an impact on clinical treatment decision in 3 cases. Supplementary CECT following a normal NECTresult should be limited to patients with:
positive neurological sign and symptoms after exclusion of cerebral infarction or ischaemia,
a background history or known case of primary tumor, (iii) inf lammation or infective disease
i.e tuberculosis especially those with neurological signs.
Conflict of interest
The authors declare no conflict of interests.
We would like to thank all the staff in the Department of Radiology, UKMMC in facilitating the data retrieval process.
Bernard, M. S., Hourihan, M. D., & Adams, H. (1991). Computed tomography of the brain: Does contrast enhancement really help? Clinical Radiology, 44(3), 161-164. https://doi.org/10.1016/S0009- 9260(05)80860-8
Branson, H. M., Doria, A. S., Moineddin, R., & Shroff, M. M. (2007). The brain in children: is contrast enhancement really needed after obtaining normal unenhanced CT results? Radiology, 244(3), 838- 844. https://doi.org/10.1148/radiol.2443051785
Cabral, D. A., Flodmark, O., Farrell, K., & Speert, D. P. (1987). Prospective study of computed tomography in acute bacterial meningitis. The Journal of Pediatrics, 111(2), 201-205. https://doi.org/10.1016/S0022-3476(87)80067-7
Cartwright, K., Reilly, S., White, D., & Stuart, J. (1992). Early treatment with parenteral penicillin in meningococcal disease. BritishMedical Journal, 305(6846), 143-147.https://doi.org/10.1136/bmj.305.6846.143
Chishti, F. A., Al Saeed, O. M., Al-Khawari, H., & Shaikh, M. (2003). Contrast-enhanc ed cranial computed tomography in magnetic resonance imaging era. Medical Principles and Practice, 12(4), 248- 251.https://doi.org/10.1159/000072292
Demaerel, P., Buelens, C., Wilms, G., & Baert, A. L. (1998). Cranial CT revisited: do we really need contrast enhancement? European Radiology, 8, 1447-1451.
https://doi.org/10.1007/s003300050572
European Society of Radiology (2004) Risk management in radiology in Europe IV. Available from:https://www.myesr.org/sites/def ault/files/ESR_brochure_04_2.pdf [Accessed 20 March 2023].
Greenberg, H., Chandler, W.F., Sandler, H.M. (1999) Brain tumors. Oxford University Press, USA.ISBN:019512958X.
Huckman, M. S. (1975). Clinical experience with the intravenous infusion of iodinated contrast material as an adjunct to computed tomography. Surgical Neurology, 4(3), 297-318. PMID: 170696
Ibrahim, R., Samian, S. D., Mazli, M. Z., Amrizal, M. N., & Aljunid, S. M. (2012). Cost of magnetic resonance imaging (MRI) and computed tomography (CT) scan in UKMMC. BMC Health Services Research, 12(1), 1-2. https://doi.org/10.1186/1472-6963-12 -S1- P11
Kocak, M. (2022) Computed Tomography (CT). MSD Manual Professional Edition. Available f rom: https://www.msdmanuals.com/professional/special-subjects/principles-of - radiologic- imaging/computed-tom ography [Accessed 20 Feb 2023]
Minné, C., Kisansa, M. E., Ebrahim, N., Suleman, F. E., & Makhanya, N. Z. (2014). The prevalence of undiagnosed abnormalities on non-contrast-enhanc ed computed tomography compared to contrast- enhanced computed tomography of the brain. SA Journal of Radiology, 18(1), 1-7.
http://dx.doi.org/10.4102/sajr.v18i1.598
Nagra, I., Wee, B., Short, J., & Banerjee, A. K. (2011). The role of cranial CT in the investigation of meningitis. JRSM Short Reports, 2(3), 1-9.
https://doi.org/10.1258/shorts.2011.010113
Namasivayam, S., Kalra, M. K., Torres, W. E., & Small, W. C. (2006). Adverse reactions to intravenous iodinated contrast media: an update. Current Problems in Diagnostic Radiology , 35(4), 164-169. https://doi.org/10.1067/j.c pradiol.2006.04.001
Pearce, M. S., Salotti, J. A., Little, M. P., McHugh, K., Lee, C., Kim, K. P., & de González, A.B. (2012). CT scans in childhood and risk of leukaemia and brain tumours–Authors' reply. The Lancet, 380(9855), 1736-1737. https://doi.org/10.1016/S0140-6736(12)60815-0
Rawson, J. V., & Pelletier, A. L. (2013). When to order contrast-enhanced CT. Americ an family physician, 88(5), 312-316.
Royal College of Radiologists (1995). Risk Management in Clinical Radiology . London: Royal College of Radiologists.
Shah, N. B., & Platt, S. L. (2008). ALARA: is there a cause f o r alarm? Reducing radiation risks from computed tomography scanning in children. Current Opinion in Pediatrics , 20(3), 243-247. https://doi.org/10.1097/MOP.0b013e3282ffafd2
Strang, J. R., & Pugh, E. J. (1992). Meningococcal infections: reducing the case fatality rate by giving penicillin before admission to hospital. British Medical Journal, 305(6846), 141-143. https://doi.org/10.1136/bmj.305.6846.141
Talan, D. A., Guterman, J. J., Overturf, G. D., Singer, C., Hoffman, J. R., & Lambert, B. (1989). Analysis of emergency department management of suspected bacterial meningitis. Annals of Emergency Medicine, 18(8), 856-862.
https://doi.org/10.1016/S0196-0644(89)80213-6
Wood, L. P., Parisi, M., & Finch, I. J. (1990). Value of contrast enhanced CT scanning in the non-trauma emergency room patient. Neuroradiology, 32(4), 261-264.