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Record W3031665284 · doi:10.1177/0846537120928864

COVID-19: Safe Guidelines for Breast Imaging During the Pandemic

2020· review· en· W3031665284 on OpenAlexaffabout
Jean M. Seely, Anabel M. Scaranelo, Charlotte J. Yong‐Hing, Shusheila Appavoo, Carolyn Flegg, Supriya Kulkarni, Anat Kornecki, Nancy Wadden, Yves Loisel, Stephanie C. Schofield, Sandra Leslie, Paula B. Gordon

Bibliographic record

VenueCanadian Association of Radiologists Journal · 2020
Typereview
Languageen
FieldMedicine
TopicCOVID-19 and healthcare impacts
Canadian institutionsUniversity of British ColumbiaCanadian Nutrition SocietyMemorial University of NewfoundlandUniversity of TorontoWestern UniversityNova Scotia Health AuthorityWomen's College HospitalSt Joseph's Health CarePrincess Margaret Cancer CentreMount Sinai HospitalUniversity of SaskatchewanUniversity of AlbertaHôpital du Saint-SacrementUniversity Health NetworkOttawa HospitalBC Cancer AgencyUniversity of Ottawa
Fundersnot available
KeywordsMedicineBreast cancerCoronavirus disease 2019 (COVID-19)Breast imagingPandemicGuidelinePersonal protective equipmentCollateral damageMedical physicsMammographySevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)2019-20 coronavirus outbreakMedical imagingIntensive care medicineMedical emergencyRadiologyCancerPathologyInternal medicineOutbreakInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

During the COVID-19 pandemic, breast imaging must be performed using safe practices. Balancing the need to avoid delays in the diagnosis of breast cancer while avoiding infection requires careful attention to personal protective equipment and physical distancing and vigilance to maintain these practices. The Canadian Society of Breast Imaging/Canadian Association of Radiologists guideline for breast imaging during COVID-19 is provided based on priority according to risk of breast cancer and impact of delaying treatment. A review of the best practices is presented that allow breast imaging during COVID-19 to maximize protection of patients, technologists, residents, fellows, and radiologists and minimize spread of the infection. The collateral damage of delaying diagnosis of breast cancer due to COVID-19 should be avoided when possible.

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)0.003
metaresearch head score (Gemma)0.036
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.804
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.036
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.179
GPT teacher head0.465
Teacher spread0.286 · 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

Citations33
Published2020
Admission routes2
Has abstractyes

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