Evaluation of tumor viability in Post radiation therapy pediatric brain tumors with 99mTc- glucoheptonate single photon emission computed tomography (SPECT)
Bibliographic record
Abstract
Brain single photon emission computed tomography (SPECT) with 99mTc- glucoheptonate, a blood brain barrier imaging agent, is rapidly regaining interest after it has been shown that the uptake of tumor seeking agents like thallium, tetrofosmin, sestamibi and pertechnate by brain tumors is solely dependent on disruption of the blood brain barrier. Therefore, the use of 99mTc glucoheptonate may yield the same diagnostic information as other agents such as the much more expensive 99mTc-sestamibi. The purpose of the study was to evaluate 99mTc-glucoheptonate as an imaging agent for recurrent primary brain tumors in children. Methods: Fifty-one patients aged 5-18 years were evaluated for tumor recurrence following radiotherapy for primary malignant brain tumors, using brain single photon emission computed tomographies (SPECT) with 99mTc-Glucoheptonate. Contrast enhanced computerized tomography (CT) of brain was performed in all patients within + 1 week of brain SPECT as a diagnostic standard and compared. Results: Recurrent tumors showed avid 99mTc- glucoheptonate concentration and a high 99mTc-glucoheptonate retention index (6.06 + 1.41) compared with post radiation gliosis, which showed no 99mTc-glucoheptonate concentration over the affected site and had a 99mTc-glucoheptonate retention index of 1.10 + 0.18 (p=0.001). 99mTc- glucoheptonate SPECT had a sensitivity of 79.48% and a specificity of 91.66% when compared with contrast-enhanced computed tomography as a gold standard. However, this technique did not show good performance in the differential diagnosis of lesions in posterior fossa. Conclusion: This study suggests that 99mTc-glucoheptonate brain SPECT can be used as a sensitive and specific diagnostic test to differentiate recurrent tumor from post radiation gliosis, with the exception of tumors located in posterior fossa. Further studies should address this limitation before definite protocols are established.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".