Evidence map›Paper›PMID 40330172›Full record

ArticlePlastic and reconstructive surgery. Global open2025

A Prospective Study to Evaluate the SPY-QP Software for Intraoperative Perfusion Assessment in Breast Reconstruction.

Hani I Naga, Jennifer Gallagher, Joshua K Kim, Jenny Foster, Yisong Geng, Nicholas C Oleck, Brett T Phillips

Abstract read
In one paragraph

Article in Plastic and reconstructive surgery. Global open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Hani I NagaFrom the Division of Plastic Surgery, Department of Surgery, Duke University Hospital Durham, NC.
Jennifer GallagherFrom the Division of Plastic Surgery, Department of Surgery, Duke University Hospital Durham, NC.
Joshua K KimFrom the Division of Plastic Surgery, Department of Surgery, Duke University Hospital Durham, NC.
Jenny FosterFrom the Division of Plastic Surgery, Department of Surgery, Duke University Hospital Durham, NC.
Yisong GengCalc LLC, Wilton, CT.
Nicholas C OleckFrom the Division of Plastic Surgery, Department of Surgery, Duke University Hospital Durham, NC.
Brett T PhillipsFrom the Division of Plastic Surgery, Department of Surgery, Duke University Hospital Durham, NC.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Laser-assisted indocyanine green angiography image quantification programs have been developed to guide the resection of ischemic tissue, but prior iterations have proved difficult to interpret. This study assesses outcomes using SPY-QP, a novel quantification algorithm of the SPY Portable Handheld Imaging system (Stryker Corporation). Methods: A prospective study was designed to enroll patients who underwent breast reconstruction with implant-based or autologous techniques. A prospective database of patient demographics, operative details, and outcomes at 2-week, 1-month, and 3-month follow-ups were maintained. Postoperative skin necrosis, fat necrosis, and infection, among other metrics, were correlated with indocyanine green angiography relative values (%). Logistic regressions were conducted using R-Studio. Results: Overall, 39 patients and 59 breasts were included in this study. Forty-nine (83.5%) breasts underwent implant-based reconstruction, whereas 10 (17.0%) were reconstructed with autologous tissue. Five (12.8%) patients had evidence of skin necrosis, 6 (15.4%) of fat necrosis, and 9 (23.1%) of postoperative infection. Of the patients with skin necrosis, 2 (40%) patients underwent local wound care, 2 (40%) patients required bedside debridement, and 1 (20%) patient required an operative debridement. Mean relative values were significantly lower in patients with skin necrosis in comparison to patients without skin necrosis (14.6%±12.4% versus 24.4%±13.4%, Conclusions: The SPY-QP technology is highly specific at low values and can effectively guide surgeons in the resection of ischemic tissue. Conversely, it remains challenging to predict necrosis in gray zones.

Identifiers

PMID40330172
PMCPMC12052233

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.