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Record W4394761084 · doi:10.1186/s41747-024-00445-1

Hyperpolarized [1-13C]-pyruvate MRS evaluates immune potential and predicts response to radiotherapy in cervical cancer

2024· article· en· W4394761084 on OpenAlex
Gigin Lin, Ching‐Yi Hsieh, Ying‐Chieh Lai, Chun‐Chieh Wang, Yenpo Lin, Kuan‐Ying Lu, Wen‐Yen Chai, Albert P. Chen, Tzu‐Chen Yen, Shu‐Hang Ng, Chyong‐Huey Lai

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEuropean Radiology Experimental · 2024
Typearticle
Languageen
FieldChemistry
TopicAdvanced NMR Techniques and Applications
Canadian institutionsGeneral Electric (Canada)
FundersNational Institute of Biomedical Imaging and BioengineeringCenter for Big Data Analytics, University of Texas at AustinCenter for Big Data Analytics and Statistics, Chang Gung Memorial HospitalNational Institutes of HealthUniversity of California, San FranciscoChang Gung Medical FoundationClinical Trial Center, China Medical University HospitalNational Science and Technology Council
KeywordsMedicineRadiation therapyCervical cancerNuclear medicineSpleenImmune systemInternal medicineMagnetic resonance imagingGastroenterologyCancerOncologyPathologyRadiologyImmunology

Abstract

fetched live from OpenAlex

Abstract Background Monitoring pyruvate metabolism in the spleen is important for assessing immune activity and achieving successful radiotherapy for cervical cancer due to the significance of the abscopal effect. We aimed to explore the feasibility of utilizing hyperpolarized (HP) [1- 13 C]-pyruvate magnetic resonance imaging (MRI) and magnetic resonance spectroscopy (MRS) to evaluate pyruvate metabolism in the human spleen, with the aim of identifying potential candidates for radiotherapy in cervical cancer. Methods This prospective study recruited six female patients with cervical cancer (median age 55 years; range 39–60) evaluated using HP [1- 13 C]-pyruvate MRI/MRS at baseline and 2 weeks after radiotherapy. Proton ( 1 H) diffusion-weighted MRI was performed in parallel to estimate splenic cellularity. The primary outcome was defined as tumor response to radiotherapy. The Student t -test was used for comparing 13 C data between the groups. Results The splenic HP [1- 13 C]-lactate-to-total carbon (tC) ratio was 5.6-fold lower in the responders than in the non-responders at baseline ( p = 0.009). The splenic [1- 13 C]-lactate-to-tC ratio revealed a 1.7-fold increase ( p = 0.415) and the splenic [1- 13 C]-alanine-to-tC ratio revealed a 1.8-fold increase after radiotherapy ( p = 0.482). The blood leukocyte differential count revealed an increased proportion of neutrophils two weeks following treatment, indicating enhanced immune activity ( p = 0.013). The splenic apparent diffusion coefficient values between the groups were not significantly different. Conclusions This exploratory study revealed the feasibility of HP [1- 13 C]-pyruvate MRS of the spleen for evaluating baseline immune potential, which was associated with clinical outcomes of cervical cancer after radiotherapy. Trial registration ClinicalTrials.gov NCT04951921 , registered 7 July 2021. Relevance statement This prospective study revealed the feasibility of using HP 13 C MRI/MRS for assessing pyruvate metabolism of the spleen to evaluate the patients’ immune potential that is associated with radiotherapeutic clinical outcomes in cervical cancer. Key points • Effective radiotherapy induces abscopal effect via altering immune metabolism. • Hyperpolarized 13 C MRS evaluates patients’ immune potential non-invasively. • Pyruvate-to-lactate conversion in the spleen is elevated following radiotherapy. Graphical Abstract

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.091
Threshold uncertainty score0.852

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.012
GPT teacher head0.316
Teacher spread0.304 · 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