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Emerging Role of 177Lu in Nuclear Oncology: A Brief Review

2018· review· en· W2777033451 on OpenAlexvenueno aff
Khan Anna, Chadha D. Vijayta

Bibliographic record

VenueJournal of Analytical Oncology · 2018
Typereview
Languageen
FieldMedicine
TopicRadiopharmaceutical Chemistry and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsRadionuclide therapyNeuroendocrine tumorsMedicineSomatostatinPeptide receptorSomatostatin receptorOncologyInternal medicineCancer researchReceptor

Abstract

fetched live from OpenAlex

With the innovations in nuclear medicine techniques, Lutetium 177 (177Lu) has epitomized as a revolutionary theranostic agent- with both scintigraphic and therapeutic properties. The present review focusses on the introduction of 177Lu as a promising modality for tumor diagnosis and therapy in widespread metastases . Being a shorter β-range emitter providing better irradiation of smaller tumor volumes, 177Lu- based PRRT is being increasingly used in patients with somatostatin receptor positive neuroendocrine tumors. Clinical trials with 177Lu–DOTATATE and 177Lu–DOTATOC have gained considerable interest in recent years with successful tumor regression in patients with malignant metastatic neuroendocrine tumors. Especially, therapy with 177Lu-DOTATATE PRRT has reported to significantly improve the quality of life of Gastroenteropancreatic NET patients because of higher affinity of DOTATATE for the somatostatin type 2 receptors. In addition, this review also sheds light on the diagnostic and palliative aspects of 177Lu which also serves to be an attractive candidate for the preparation of radiopharmaceuticals for radiation synovectomy of small to medium sized joints. Enlisting all the said features, 177Lu is strongly emerging as a promising theranostic agent that could possibly endow Nuclear Medicine an edge over other conventional therapies in near future.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.946
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
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 head0.082
GPT teacher head0.483
Teacher spread0.401 · 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.

Study designNot applicable
Domainnot available
GenreReview

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
Published2018
Admission routes1
Has abstractyes

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