MétaCan
Menu
← Back to cohort
Record W4282002300 · doi:10.1093/neuonc/noac079.284

IMG-08. Response assessment for pediatric craniopharyngioma: recommendations from the Response Assessment in Pediatric Neuro-Oncology (RAPNO) working group

2022· article· en· W4282002300 on OpenAlexaff
Lindsey M. Hoffman, Camilo Jaimes, Kshitij Mankad, David M. Mirsky, Benita Tamrazi, Christopher L. Tinkle, Cassie Kline, Aparna Ramasubramanian, Fatema Malbari, Ross Mangum, Holly Lindsay, Vincent E. Horne, David J. Daniels, Sameer R. Keole, David R. Grosshans, Tina Young Poussaint, Roger J. Packer, Sérgio Cavalheiro, Brigitte Bison, Todd C. Hankinson, Hermann L. Müller, Ute Bartels, Katherine E. Warren, Murali Chintagumpala

Bibliographic record

VenueNeuro-Oncology · 2022
Typearticle
Languageen
FieldMedicine
TopicPituitary Gland Disorders and Treatments
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsCraniopharyngiomaMedicineClinical trialRadiation therapyRadiological weaponMagnetic resonance imagingProspective cohort studyNatural history studyRadiologyInternal medicineOncologyDisease

Abstract

fetched live from OpenAlex

Abstract INTRODUCTION: Craniopharyngioma (CP) is a histologically benign tumor of the pituitary stalk that accounts for 4% of pediatric central nervous system (CNS) tumors. Given its location, CP often causes neuro-endocrine, hypothalamic, and vision dysfunction. Standard therapy consists of maximally safe resection +/- radiation therapy (RT). Medical management, including intra-cystic therapy, may have utility in certain contexts. Survival after CP is excellent, but quality of life is often poor secondary to functional deficits from the tumor and/or treatment. Few prospective CP trials have been performed, and response assessment has not been standardized. METHODS: The Response Assessment in Pediatric Neuro-Oncology (RAPNO) committee, formed of international experts in relevant subspecialties, devised consensus guidelines from published literature and/or expert opinion to assess CP response in prospective clinical trials. RESULTS: Magnetic resonance imaging (MRI) is the recommended radiological modality for baseline and follow-up CP assessment. Computed tomography can be useful for identification of calcification in the initial diagnostic work-up. The committee defined specific standard MRI-based sequences focused on comprehensive evaluation of the suprasellar space. Radiologic CP response is defined by two-dimensional measurements of both solid and cystic tumor components. Three-dimensional measurements are also encouraged in prospective trials. In certain clinical contexts, response of solid and cystic disease may be differentially considered based on their unique natural histories and responses to treatment (including transient cyst growth during or after RT). Importantly, the committee incorporated functional endpoints related to neuro-endocrine and visual assessments into CP response definitions. In most circumstances, cystic disease should be considered progressive only if growth is associated with acute, new-onset or progressive functional impairment. CONCLUSION: CP is a common pediatric CNS tumor for which standardized response parameters have not been defined. A RAPNO committee devised guidelines for baseline and longitudinal assessments of CP to uniformly define response in future prospective trials.

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 imitation

Not 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.

metaresearch head score (Codex)0.103
metaresearch head score (Gemma)0.094
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.103
Threshold uncertainty score0.545

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1030.094
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0050.007
Bibliometrics0.0070.005
Science and technology studies0.0010.002
Scholarly communication0.0040.004
Open science0.0100.006
Research integrity0.0110.009
Insufficient payload (model declined to judge)0.0040.009

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.

Opus teacher head0.032
GPT teacher head0.345
Teacher spread0.313 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueNeuro-Oncology→Same topicPituitary Gland Disorders and Treatments→French-language works237,207→