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EM VivasCT interpretation and usage

EM Vivas · CT interpretation and usage

Choosing and interpreting emergency CT — a clinical imaging viva

A clinical data-viva on choosing and interpreting emergency CT — the early ischaemic stroke signs and ASPECTS, the thunderclap-headache CT sensitivity window and the lumbar-puncture decision, the CT pulmonary angiogram filling defect in pulmonary embolism, and the radiation and contrast considerations that govern requesting.

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Prompt
You are shown three imaging vignettes and asked to choose the modality and interpret the result. Vignette 1: a 68-year-old man, acute right-sided weakness and aphasia, last known well 70 minutes ago — the non-contrast head CT is shown. Vignette 2: a 55-year-old woman with a sudden thunderclap headache nine hours ago, now pain-free, normal examination, normal non-contrast head CT. Vignette 3: a 62-year-old man with pleuritic chest pain and a Wells score of 5 — the CT pulmonary angiogram is shown. Discuss the interpretation, the next investigation where indicated, and how the imaging drives your management and disposition.

Interpretation

Reveal interpretationShowHide

Vignette 1 — acute stroke. The non-contrast head CT is the correct first scan: its purpose is to exclude haemorrhage, a contraindication to thrombolysis. Read it for the early ischaemic signs — the hyperdense MCA sign (a bright middle cerebral artery from acute thrombus), loss of the insular ribbon, obscuration of the lentiform nucleus, and cortical sulcal effacement with subtle hypodensity. Quantify the burden with ASPECTS: ten regions of the MCA territory (M1 to M6 cortex, caudate, lentiform, internal capsule, insula), scored ten for normal down to zero for a fully infarcted territory.[3] Within the first 90 minutes the scan may be normal, and that is expected. The non-contrast CT does not exclude ischaemia — it excludes haemorrhage. Proceed to CT angiography to find a large-vessel occlusion eligible for thrombectomy, and CT perfusion to define the core and the penumbra if the window is extended.

Vignette 2 — thunderclap headache. The CT is normal, but the onset was nine hours ago. CT sensitivity for subarachnoid haemorrhage is 100 percent within six hours (121 of 121, 95 per cent CI 97 to 100) and falls with time (92.9 per cent overall).[4] At nine hours a normal CT does not reliably exclude it — the next investigation is a lumbar puncture to detect xanthochromia. The scan is read for blood in the basal cisterns, the Sylvian and the interhemispheric fissures. Within six hours, in the right patient, a normal CT may exclude the diagnosis without a lumbar puncture; after six hours it may not.

Vignette 3 — CT pulmonary angiogram. The finding is a filling defect within an opacified pulmonary artery — a pulmonary embolism. PIOPED II found multidetector CTA 83 percent sensitive and 96 percent specific (90 percent sensitive combined with venous-phase imaging), with high predictive value when concordant with clinical probability — and a need for further testing when discordant.[6] Read the scan additionally for right ventricular strain — RV dilatation, septal bowing, reflux of contrast into the inferior vena cava — which predicts 30-day mortality and drives disposition toward a higher level of monitoring.

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References4ShowHide
  1. [3]Barber PA, Demchuk AM, Zhang J, Buchan AM. Validity and reliability of a quantitative computed tomography score in predicting outcome of hyperacute middle cerebral artery infarction. Lancet, 2000.PMID 10905241
  2. [4]Perry JJ, Stiell IG, Sivilotti MLA, et al. Sensitivity of computed tomography performed within six hours of onset of headache for diagnosis of subarachnoid haemorrhage: prospective cohort study. BMJ, 2011.PMID 21768192
  3. [6]Stein PD, Fowler SE, Goodman LR, et al. Multidetector computed tomography for acute pulmonary embolism (PIOPED II). New England Journal of Medicine, 2006.PMID 16738268
  4. [7]Albers GW, Marks MP, Kemp S, et al. Thrombectomy for stroke at 6 to 16 hours with selection by perfusion imaging. New England Journal of Medicine, 2018.PMID 29364767
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