Consequences of anastomotic leaks after minimally invasive esophagectomy: A single-center experience

Simitian, Grigor; Hall, D.; Leverson, Glen; Lushaj, Entela B.; Lewis, Eric; Musgrove, Kelsey A.; McCarthy, Daniel; Maloney, James D.

doi:10.1016/j.sopen.2022.11.002

Cited by 5 publications

(1 citation statement)

References 51 publications

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“…[ 1 , 2 ] Leak incidence rates vary significantly, as they depend on multiple factors, including surgeon experience and skills, anatomic location, as well as overall patient condition. [ 3 ] In the case of gastric surgery, anastomotic leak rates can reach up to 20% for esophagectomies [ 2 , 4 , 5 ] and up to 5% for gastrectomies and bariatric surgeries. [ 6 , 7 , 8 ] Although the chance of developing an anastomotic leak after a gastrectomy or a bariatric surgery is relatively low for an individual patient, the rising numbers of gastric cancer and obesity‐affected patients will likely result in a surge of patients suffering from gastric leaks.…”

Section: Introductionmentioning

confidence: 99%

Surgical Sealant with Integrated Shape‐Morphing Dual Modality Ultrasound and Computed Tomography Sensors for Gastric Leak Detection

et al. 2023

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Postoperative anastomotic leaks are the most feared complications after gastric surgery. For diagnostics clinicians mostly rely on clinical symptoms such as fever and tachycardia, often developing as a result of an already fully developed, i.e., symptomatic, surgical leak. A gastric fluid responsive, dual modality, electronic‐free, leak sensor system integrable into surgical adhesive suture support materials is introduced. Leak sensors contain high atomic number carbonates embedded in a polyacrylamide matrix, that upon exposure to gastric fluid convert into gaseous carbon dioxide (CO2). CO2 bubbles remain entrapped in the hydrogel matrix, leading to a distinctly increased echogenic contrast detectable by a low‐cost and portable ultrasound transducer, while the dissolution of the carbonate species and the resulting diffusion of the cation produces a markedly reduced contrast in computed tomography imaging. The sensing elements can be patterned into a variety of characteristic shapes and can be combined with nonreactive tantalum oxide reference elements, allowing the design of shape‐morphing sensing elements visible to the naked eye as well as artificial intelligence‐assisted automated detection. In summary, shape‐morphing dual modality sensors for the early and robust detection of postoperative complications at deep tissue sites, opening new routes for postoperative patient surveillance using existing hospital infrastructure is reported.

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