Single Ring-Enhancing Lesion with the Lipid Peak on MR Spectroscopy
Bibliographic record
Abstract
CLINICAL DESCRIPTION A 12-year-old boy presented in our emergency department with chief complaints of two episodes of seizures, headache, vomiting, and bilateral ptosis for the past 7 days. On neurological examination, bilateral third cranial nerve palsies were seen. Contrast-enhanced MRI of the brain revealed a conglomerate peripherally enhancing cystic lesion of size 9 mm in the tegmentum of the midbrain with perilesional edema [Figure 1]. The core of the cystic lesion was hyperintense on T2-WI and hypointense on FLAIR images suggesting signal suppression and CSF-like fluid contents. Eccentric scolex was seen on T2 W and FLAIR images. MR spectroscopy [Figure 1d] performed at short TE of 35 ms shows a lipid peak within the core of the lesion. A contrast-enhanced CT scan [Figure 2a] showed a peripherally enhancing lesion with eccentric scolex in the right tegmentum of the midbrain, suggesting the possibility of neurocysticercosis (NCC). A provisional diagnosis of NCC was made, and the patient was put on a tapering dose of steroids. Follow-up NCCT done after one month showed a decrease in the size of the lesion and perilesional edema [Figure 2b]. His ptosis improved after three months of clinical follow-up.Figure 1: MRI brain. Axial T2 WI (a) shows a single conglomerate lesion of 2 cysts (thick arrow and hairpin-arrow) with extensive perilesional edema on the right side of the tegmentum of the midbrain. The core of the larger cyst is hyperintense on T2 WI (a) and hypointense on FLAIR (b) images suggesting signal suppression. Scolex is seen as eccentric dot-like hypointensity (thin arrow in a) on T2 WI (a) and as hyperintensity (thin arrow in b) on FLAIR (b) images. Axial post gadolinium T1 WI (c) shows peripheral enhancement of the lesion, MR spectroscopy (d) shows lipid peak at short TE (arrowhead)Figure 2: Contrast-enhanced CT scan of the brain at the level of the third ventricle shows a well-defined peripherally enhancing lesion with eccentric scolex (a) in the right side of the tegmentum of the midbrain. A follow-up non-contrast CT scan done after one month (b) shows a significant reduction in the lesion size (arrow)DISCUSSION The presence of scolex within a cystic lesion on CT/MRI is one of the definitive criteria of the diagnosis of NCC[1]; however, sometimes neurotuberculoma has been reported to have central calcification, which may be mistaken for scolex. MR spectroscopy (MRS) has been used to characterize various neurological lesions like brain abscess, tumors, cystic lesions, and granulomatous lesions like tuberculoma in the last few years. A classification of the various pathologic metabolic spectra has been developed by Chernov et al.[2] classifying MRS spectra into types I, II, and III according to the predominant metabolite peak (NAA, choline, lipid) with further subtypes A, B, and C depending upon the presence of lactate and lipid peaks. The lipid peak is seen as a singlet at 1.33 ppm, is broad, and has a shoulder on the left. The lipid peak does not invert at intermediate echo time; this feature helps differentiate lipid from lactate. The lipid peak is usually best seen at short TE due to short T2 of lipids and is not detectable in normal brain tissue.[3] Sometimes adjacent subcutaneous fat or fatty calvarial bone marrow may contaminate the voxel and erroneously show an abnormal lipid peak; thus, one should be careful in voxel placement. Tuberculoma shows a prominent lipid peak due to the presence of lipid in the cell wall of mycobacteria.[4] Solid tumors like lymphoma[5] and papillary craniopharyngioma[2] may show lipid peak on MRS. Cystic lesions like adamantinomatous craniopharyngioma can also show lipid peak.[2] Proton spectroscopy of cysticercal fluid may show increased choline, lipid, succinate, alanine, and acetate and reduced levels of NAA and creatine; best seen at intermediate TE.[6] As the scolex degenerates, there is a proliferation of membranes resulting in increased lipids.[7] The presence of lipid peak in a ring-enhancing lesion is not pathognomonic of neurotuberculoma, and lipid peak alone on MRS should not be used to differentiate between tuberculoma and neurocysticercosis. Other morphological characteristics of NCC like size, presence of scolex, suppression of core signal on FLAIR images, and different stages of evolution should be used in diagnosing NCC. Declaration of patient consent The authors certify that they have obtained all appropriate patient consent forms. In the form, the patient(s) has/have given his/her/their consent for his/her/their images and other clinical information to be reported in the journal. The patients understand that their names and initials will not be published and due efforts will be made to conceal their identity, but anonymity cannot be guaranteed. Financial support and sponsorship Nil. Conflicts of interest There are no conflicts of interest.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".