MétaCan
Menu
Back to cohort
Record W3027140113 · doi:10.1186/s40658-020-00301-2

Radiation doses from 161Tb and 177Lu in single tumour cells and micrometastases

2020· article· en· W3027140113 on OpenAlex

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

VenueEJNMMI Physics · 2020
Typearticle
Languageen
FieldMedicine
TopicRadiopharmaceutical Chemistry and Applications
Canadian institutionsUniversité LavalInstitut Universitaire en Santé Mentale de Québec
FundersUniversité de Pau et des Pays de l'AdourUniversité de BordeauxConsejo Nacional de Ciencia y TecnologíaAgence Nationale de la Recherche
KeywordsNuclear medicineCellRadionuclideRadionuclide therapyNucleusAbsorbed doseChemistryDosimetryMedicinePhysicsNuclear physics

Abstract

fetched live from OpenAlex

Abstract Background Targeted radionuclide therapy (TRT) is gaining importance. For TRT to be also used as adjuvant therapy or for treating minimal residual disease, there is a need to increase the radiation dose to small tumours. The aim of this in silico study was to compare the performances of 161 Tb (a medium-energy β − emitter with additional Auger and conversion electron emissions) and 177 Lu for irradiating single tumour cells and micrometastases, with various distributions of the radionuclide. Methods We used the Monte Carlo track-structure (MCTS) code CELLDOSE to compute the radiation doses delivered by 161 Tb and 177 Lu to single cells (14 μ m cell diameter with 10 μ m nucleus diameter) and to a tumour cluster consisting of a central cell surrounded by two layers of cells (18 neighbours). We focused the analysis on the absorbed dose to the nucleus of the single tumoral cell and to the nuclei of the cells in the cluster. For both radionuclides, the simulations were run assuming that 1 MeV was released per μ m 3 (1436 MeV/cell). We considered various distributions of the radionuclides: either at the cell surface, intracytoplasmic or intranuclear. Results For the single cell, the dose to the nucleus was substantially higher with 161 Tb compared to 177 Lu, regardless of the radionuclide distribution: 5.0 Gy vs. 1.9 Gy in the case of cell surface distribution; 8.3 Gy vs. 3.0 Gy for intracytoplasmic distribution; and 38.6 Gy vs. 10.7 Gy for intranuclear location. With the addition of the neighbouring cells, the radiation doses increased, but remained consistently higher for 161 Tb compared to 177 Lu. For example, the dose to the nucleus of the central cell of the cluster was 15.1 Gy for 161 Tb and 7.2 Gy for 177 Lu in the case of cell surface distribution of the radionuclide, 17.9 Gy for 161 Tb and 8.3 Gy for 177 Lu for intracytoplasmic distribution and 47.8 Gy for 161 Tb and 15.7 Gy for 177 Lu in the case of intranuclear location. Conclusion 161 Tb should be a better candidate than 177 Lu for irradiating single tumour cells and micrometastases, regardless of the radionuclide distribution.

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 score0.011
Threshold uncertainty score0.303

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)0.0000.000

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 head0.039
GPT teacher head0.279
Teacher spread0.240 · 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