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Record W3017403219 · doi:10.1097/gox.0000000000002742

Intraoperative Near-infrared Spectroscopy Correlates with Skin Flap Necrosis: A Prospective Cohort Study

2020· article· en· W3017403219 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

VenuePlastic & Reconstructive Surgery Global Open · 2020
Typearticle
Languageen
FieldMedicine
TopicOptical Imaging and Spectroscopy Techniques
Canadian institutionsFoothills Medical CentreUniversity of Calgary
Fundersnot available
KeywordsMedicineSurgeryPerfusionCohortNecrosisOxygenationFree flapProspective cohort studyBreast cancerSarcomaComplicationCancerRadiologyAnesthesiaInternal medicinePathology

Abstract

fetched live from OpenAlex

Background: Skin flap necrosis (SFN) is a morbid complication that is disfiguring, leads to acute and chronic wound issues, often requires further surgery, and can delay adjuvant chemotherapy. Although most surgeons rely on the clinical examination, near-infrared (NIR) spectroscopy can extrapolate tissue oxygenation and may serve as an important tool to assess flap perfusion intraoperatively. This cohort study was undertaken to evaluate the capacity of NIR spectroscopy to detect clinically relevant differences in tissue perfusion intraoperatively. Methods: Patients undergoing oncologic resection of breast cancer, sarcomas, and cutaneous tumors requiring flap reconstruction (local, regional, or free) between January 2018 and January 2019 were analyzed in this study. Clinicians were blinded to device tissue oxygen saturation (S t O 2 ) measurements taken intraoperatively after closure and at follow-up appointments in the first 30 days. Measurements were categorized as (1) control areas not affected by the procedure, (2) areas at risk, and (3) areas of necrosis. These areas were retrospectively demarcated by 2 blinded assessors on follow-up images and transposed onto anatomically correlated intraoperative S t O 2 measurements. Mean S t O 2 values were compared using a single-sample t test and analysis of variance (ANOVA) to determine differences in oxygenation. Results: Forty-two patients were enrolled, and 51 images were included in the analysis. Oncologic procedures were predominantly breast (22), postextirpative melanoma (13), and sarcoma (3) reconstructions. Flap reconstruction involved 30 regional skin flaps, 3 pedicled flaps, and 3 free flaps. Nine patients (20.9%) and 11 surgical sites developed SFN. Mean intraoperative S t O 2 measurements for control areas, areas at risk, and areas of SFN were 74.9%, 71.1%, and 58.3%, respectively. Relative to control areas, mean intraoperative S t O 2 measurements were lower by 17.5% ( P = 0.01) in ultimate areas of SFN and in areas at risk by 5.8% ( P = 0.003). Relative to areas at risk, mean S t O 2 measurements from areas of ultimate SFN were lower by 8.3% ( P = 0.04). Conclusion: These preliminary data suggest that measuring skin flap tissue oxygenation intraoperatively, with NIR spectroscopy, can differentiate objective variations in perfusion that are associated with clinical outcomes.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.014
GPT teacher head0.285
Teacher spread0.272 · 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