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Record W4221114808 · doi:10.1186/s43055-022-00750-y

Pulmonary Tc99m-PSMA uptake in asymptomatic COVID-19 patient: incidental finding in SPECT/CT study

2022· article· en· W4221114808 on OpenAlexaff
Forough Kalantari, Reza Vali, Elham Kalantari, Ghasemali Divband

Bibliographic record

VenueThe Egyptian Journal of Radiology and Nuclear Medicine · 2022
Typearticle
Languageen
FieldMedicine
TopicRadiopharmaceutical Chemistry and Applications
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsAsymptomaticMedicineCoronavirus disease 2019 (COVID-19)Prostate cancerLungRadiologyPneumoniaNuclear medicinePathologyDiseaseInfectious disease (medical specialty)Internal medicineCancer

Abstract

fetched live from OpenAlex

Abstract Background As there are comparative studies between 68Ga-PSMA and 99mTc-PSMA and spectrum of PSMA expression, this is the first case report that notifies distribution of 99mTc-PSMA on COVID-19 pneumonia era on the literature. Case presentation An asymptomatic 70-Y-old male who is known case of prostate adenocarcinoma underwent initial staging. SPECT/CT of the chest region reveals bilateral peripheral multifocal ground glass opacities which shows 99mTc-PSMA uptake. Diagnosis of corona virus was confirmed by positive RT-PCR. Discussion Unexclusive role of radiotracers in nuclear medicine has an importance for wide range of applications. Comparison between 68Ga-PSMA and 99mTc-PSMA in detection of metastatic disease in prostate cancer is also under evaluation. Conclusions This case implicates possible role of PSMA imaging in inflammation/infection process as well as necessity for lung review in hybrid imaging especially during this recent pandemic.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.034
GPT teacher head0.330
Teacher spread0.296 · 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 designCase report
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

Citations0
Published2022
Admission routes1
Has abstractyes

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Same venueThe Egyptian Journal of Radiology and Nuclear MedicineSame topicRadiopharmaceutical Chemistry and ApplicationsFrench-language works237,207