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Enregistrement W2328270316 · doi:10.1097/prs.0b013e31824eff93

Laser Angiography as a Predictor of Mastectomy Flap Necrosis after Breast Reconstruction

2012· article· en· W2328270316 sur OpenAlexaboutno aff
John Murray, Glyn Jones, Eric T. Elwood, Lisa A. Whitty, Chris Garcia

Notice bibliographique

RevuePlastic & Reconstructive Surgery · 2012
Typearticle
Langueen
DomaineMedicine
ThématiqueBreast Implant and Reconstruction
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineIndocyanine greenMastectomyVascularityBreast reconstructionAngiographySurgeryBreast cancerCancerInternal medicine

Résumé

récupéré en direct d'OpenAlex

Sir:FigureSkin-sparing mastectomy improves the aesthetic result of the reconstructed breast and broadens the reconstructive options. However, areas of ischemia leading to necrosis can prove difficult to clinically assess. We review our experience with laser angiography as a predictor of mastectomy skin flap necrosis. All women who were to undergo immediate postmastectomy breast reconstruction were candidates for this study. Women with an allergy to iodinated contrast dye were excluded. All mastectomy flaps in patients undergoing immediate breast reconstruction over a 2-year period were studied. The vascularity of each flap was initially assessed clinically, and simultaneous intraoperative images were obtained using infrared fluorescent tissue angiography (SPY SP2001; Novadaq, Mississauga, Ontario, Canada) with indocyanine green (Akorn, Inc., Buffalo Grove, Ill.). For performance of the indocyanine green angiography, 4 ml (2.5 mg/ml) of indocyanine green was infused through a peripheral intravenous catheter by the anesthesia personnel, followed by a 10-ml saline flush. Eight seconds after infusion, real-time fluorescent videoangiography of the mastectomy flaps was captured for 1 minute using the Novadaq SPY SP2001 imaging laser. Any portion of the mastectomy flaps that did not appear viable by clinical examination was excised. No tissue was excised based on indocyanine green fluorescence alone. Postoperatively, the amount of fluorescence (fluorescence level) throughout each saved image was calculated (SPY-Q; Novadaq), with relative percentages of fluorescent brightness noted when compared with the most well-perfused area of each respective flap (or brightest, regarded as 100 percent). The fluorescent images and respective postoperative photographs were then compared and areas of ischemic necrosis were correlated. Two hundred twenty-seven mastectomy flaps in 174 patients were studied. Poorly perfused mastectomy flap skin, as determined clinically, was resected. However, mastectomy flap necrosis occurred in 10 breasts (4.41 percent). Four of the 10 (40 percent) developed full-thickness necrosis requiring débridement, and the remaining six breasts (60 percent) developed partial-thickness necrosis and healed with conservative care. However, all areas of necrosis displayed a fluorescence level of 18 percent or less (positive predictive value, 100 percent) (Figs. 1 and 2). All reconstructions were salvaged using the original procedure.Fig. 1: Intraoperative laser image of left mastectomy flaps showing areas with a fluorescence level less than 18 percent (blue circled islands).Fig. 2: Postoperative necrosis correlating to Figure 1.Because of its reliable intravascular pattern and its ability to be used multiple times in a single operation, indocyanine green with near-infrared fluorescence has gained increased utility in plastic surgery. Many large-volume clinical studies have supported its use in breast surgery, ranging from breast reduction, to mastectomy flap assessment, to breast reconstruction.1–5 In addition, although plastic surgery will likely remain largely objective in technique and outcome, objective determination of meaningful tissue ischemia may help decrease reoperation rates and ultimately improve surgical outcomes and patient safety. In our study, we determined that a relative fluorescence level of 18 percent or less predicted partial- or full-thickness mastectomy flap necrosis. We also found that comorbid medical conditions, such as exposure to radiation and smoking, positively correlated to necrosis depth. John D. Murray, M.D. Glyn E. Jones, M.D. Eric T. Elwood, M.D. Lisa A. Whitty, M.D. Chris Garcia, B.S. University of Illinois College of Medicine at Peoria, Peoria, Ill. DISCLOSURE The authors have no financial interest in any of the products or devices mentioned in this article.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,240
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,001
Communication savante0,0000,001
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,011
Tête enseignante GPT0,215
Écart entre enseignants0,204 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations9
Publié2012
Routes d'admission1
Résumé présentoui

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