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Record W4410447692 · doi:10.1186/s13014-025-02657-0

Iodine-125 plesiotherapy for murine tumor treatment

2025· article· en· W4410447692 on OpenAlexafffund
Audrey Glory, Rodin Chermat, Julie Lafontaine, Danh Tran‐Thanh, Philip Wong

Bibliographic record

VenueRadiation Oncology · 2025
Typearticle
Languageen
FieldMedicine
TopicEffects of Radiation Exposure
Canadian institutionsPrincess Margaret Cancer CentreUniversity of TorontoUniversité de MontréalPolytechnique MontréalCentre Hospitalier de l’Université de Montréal
FundersFonds de Recherche du Québec - Santé
KeywordsMedicineIodineRadiation therapyOncologyMedical physicsInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Radiotherapy (RT) is one of the four pillars of cancer treatment. Plesiotherapy, or contact brachytherapy, involves irradiating a tumor by placing small radioactive sources directly on the skin's surface above the tumor. In this study, we evaluated the efficacy of a novel local external radiation technique using iodine-125 seeds enclosed within a 3D-printed case, positioned externally on the tumor surface. METHODS: First, the protocol was tested on the skin of NodRag1 mice with doses up to 10 Gy (at the skin), and the results demonstrated no signs of skin toxicity. Subsequently, this protocol was used to locally irradiate subcutaneous MDA-MB-231 triple-negative breast cancer and MCA-205 fibrosarcoma tumors via a single 10 Gy dose at the tumor center. RESULTS: RT significantly hindered tumor growth, with irradiated tumors being approximately half the size of nonirradiated tumors on the same day. Importantly, the irradiated mice exhibited no apparent systemic side effects, as evidenced by stable body weight and unaffected behavior, including alertness, appearance, and activity levels. Moreover, no instances of skin toxicity were observed. CONCLUSIONS: This in vivo plesiotherapy protocol offers a straightforward and cost-effective means of advancing research on RT in a variety of laboratory settings.

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 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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.775
Threshold uncertainty score0.486

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 head0.014
GPT teacher head0.388
Teacher spread0.374 · 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 teacher head, not a consensus.

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

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

Citations2
Published2025
Admission routes2
Has abstractyes

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