Narrative Review · BRAIN

NeuroCysticercosis AI Atlas

Neurocysticercosis is the most common parasitic infection of the central nervous system and a leading cause of acquired epilepsy. This console walks through its cyst stages, brain localization, imaging, and the artificial intelligence methods that may sharpen diagnosis and prognosis.

31Peer reviewed studies synthesised, 2000 to 2025

4Stages of cyst evolution

2Core imaging modalities, CT and MRI

8AI methods mapped to clinical tasks

About this companion

Computational neurology

Neurocysticercosis is caused by the larval stage of Taenia solium, which lodges in the central nervous system. Its clinical picture is highly variable, driven by parasite burden, lesion location, the developmental stage of the cyst, and the host immune response.

This atlas turns the review into an interactive tool. Explore how the cyst evolves, how location shapes symptoms, how CT and MRI complement one another, and where machine learning, radiomics, connectomics and generative AI could help. Everything you enter stays in this browser only.

Open the Cyst Lifecycle to see how imaging and inflammation change from a viable cyst to a calcified nodule.

Pathogenesis chain

Tap a step

From ingestion to seizures, follow how the parasite reaches the brain and produces disease. Select any step to expand it.

Where to next

Modules

Cyst evolution

Four stages

The cysticercus passes through four stages, each with distinct imaging, immune activity and symptoms. Select a stage to inspect it.

Vesicular

Stage 1

Inflammatory activityLow

Stage snapshot

MRI

Brain localization

Where it lands

Lesion location is one of the strongest determinants of presentation. Pick a site to read its manifestations.

Temporal lobe

Selected site

Case risk profiler

Illustrative

Combine a location, a cyst stage and a lesion burden to see an illustrative risk profile. These weights follow the qualitative patterns described in the review and are a teaching aid, not a diagnostic score.

Cyst stage Lesion burden

CT compared with MRI

Modality

The two modalities are complementary. CT is best for calcified chronic disease, MRI for viable cysts and complex sites.

Signature finding

Hole with dot

The hole with dot sign is the scolex seen inside a cyst, and it strongly suggests neurocysticercosis. Even so, atypical lesions can mimic tumours, tuberculomas, abscesses, toxoplasmosis and demyelination, which is where structured reading and AI help.

Reading tip. A visible scolex plus a well defined cyst points strongly to neurocysticercosis. Calcification favours computed tomography for confirmation.

Differential diagnosis matcher

Toggle findings

Select the imaging findings you see. The matcher ranks likely diagnoses and suggests a modality, using the differentiators described in the review. Illustrative only.

Select one or more findings to rank the differentials.

AI methods and their tasks

Toolkit

Eight computational methods discussed in the review, each mapped to the neurocysticercosis task it could support. Select a card to read more.

AI readiness scorer

Self assessment

Direct AI evidence in neurocysticercosis is still limited. Tick the enablers that are in place for your setting to see how ready the field is to translate computation into practice.

No enablers selected yet.

Tick the enablers that are in place to estimate readiness.

Build a brief

Takeaways

Select the conclusions you want to keep. They assemble into a short brief on the right, addressed to the reviewer named in the sidebar.