Background <p>Anastomotic leakage remains a critical complication following esophagectomy, occurring in 8–20% of patients. While indocyanine green fluorescence imaging (ICG-FI) is commonly used to assess perfusion, it requires dye injection and does not directly measure tissue metabolism. This study evaluates a real-time, contrast-free spectral imaging (SI) system for quantifying gastric conduit oxygenation (<InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(\mathrm {StO_{2}}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi mathvariant="normal">StO</mi> <mn>2</mn> </msub> </math></EquationSource> </InlineEquation>) and compares its performance to ICG-FI.</p> Methods <p>Intraoperative SI was successfully performed in 33 patients undergoing laparoscopic Ivor Lewis esophagectomy using a video-rate snapshot spectral camera, acquiring 16 spectral bands in the 460–600 nm range. A deep learning model estimated <InlineEquation ID="IEq2"> <EquationSource Format="TEX">\(\mathrm {StO_{2}}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi mathvariant="normal">StO</mi> <mn>2</mn> </msub> </math></EquationSource> </InlineEquation> of the gastric conduit and quantitative perfusion metrics were derived from ICG-FI time-intensity curves. Local capillary lactate levels were measured as a physiological reference for tissue hypoxia. Statistical analyses compared <InlineEquation ID="IEq3"> <EquationSource Format="TEX">\(\mathrm {StO_{2}}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi mathvariant="normal">StO</mi> <mn>2</mn> </msub> </math></EquationSource> </InlineEquation> and ICG-FI metrics.</p> Results <p>SI successfully differentiated well-perfused from ischemic tissue (median <InlineEquation ID="IEq4"> <EquationSource Format="TEX">\(\mathrm {StO_{2}}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi mathvariant="normal">StO</mi> <mn>2</mn> </msub> </math></EquationSource> </InlineEquation>: <InlineEquation ID="IEq5"> <EquationSource Format="TEX">\(69.16\%\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mn>69.16</mn> <mo>%</mo> </mrow> </math></EquationSource> </InlineEquation> vs. <InlineEquation ID="IEq6"> <EquationSource Format="TEX">\(31.58\%\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mn>31.58</mn> <mo>%</mo> </mrow> </math></EquationSource> </InlineEquation>, p &lt; 0.001). The estimated <InlineEquation ID="IEq7"> <EquationSource Format="TEX">\(\mathrm {StO_{2}}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi mathvariant="normal">StO</mi> <mn>2</mn> </msub> </math></EquationSource> </InlineEquation> showed a strong negative correlation with local capillary lactate (r=-0.72, p &lt; 0.001). While quantitative ICG-FI metrics (<InlineEquation ID="IEq8"> <EquationSource Format="TEX">\(\mathrm {T_{1/2}}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi mathvariant="normal">T</mi> <mrow> <mn>1</mn> <mo stretchy="false">/</mo> <mn>2</mn> </mrow> </msub> </math></EquationSource> </InlineEquation> and <InlineEquation ID="IEq9"> <EquationSource Format="TEX">\(\mathrm {AUC_{50\%}}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi mathvariant="normal">AUC</mi> <mrow> <mn>50</mn> <mo>%</mo> </mrow> </msub> </math></EquationSource> </InlineEquation>) revealed significantly reduced perfusion at the anastomosis site compared to well-perfused tissue (p &lt; 0.001), they showed only a moderate correlation with <InlineEquation ID="IEq10"> <EquationSource Format="TEX">\(\mathrm {StO_{2}}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi mathvariant="normal">StO</mi> <mn>2</mn> </msub> </math></EquationSource> </InlineEquation> (r=0.50, p &lt; 0.001). Notably, in a patient who developed anastomotic leakage, both modalities detected ischemia intraoperatively, but they show different transition borders, with SI indicating a more extensive hypoxic area than ICG-FI.</p> Conclusion <p>Snapshot SI provides a real-time, objective assessment of tissue oxygenation without the need for contrast agents. Its strong correlation with lactate suggests it may offer potential complementary value to dye-based perfusion imaging, potentially improving anastomotic site selection, although outcome-based validation studies in larger cohorts are needed.</p>

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Intraoperative spectral imaging versus ICG fluorescence for gastric conduit viability in esophagectomy

  • Jens De Winne,
  • Hanne Vanommeslaeghe,
  • Danilo Babin,
  • Hiep Luong,
  • Siri Luthman,
  • Elke Van Daele,
  • Wim Ceelen

摘要

Background

Anastomotic leakage remains a critical complication following esophagectomy, occurring in 8–20% of patients. While indocyanine green fluorescence imaging (ICG-FI) is commonly used to assess perfusion, it requires dye injection and does not directly measure tissue metabolism. This study evaluates a real-time, contrast-free spectral imaging (SI) system for quantifying gastric conduit oxygenation ( \(\mathrm {StO_{2}}\) StO 2 ) and compares its performance to ICG-FI.

Methods

Intraoperative SI was successfully performed in 33 patients undergoing laparoscopic Ivor Lewis esophagectomy using a video-rate snapshot spectral camera, acquiring 16 spectral bands in the 460–600 nm range. A deep learning model estimated \(\mathrm {StO_{2}}\) StO 2 of the gastric conduit and quantitative perfusion metrics were derived from ICG-FI time-intensity curves. Local capillary lactate levels were measured as a physiological reference for tissue hypoxia. Statistical analyses compared \(\mathrm {StO_{2}}\) StO 2 and ICG-FI metrics.

Results

SI successfully differentiated well-perfused from ischemic tissue (median \(\mathrm {StO_{2}}\) StO 2 : \(69.16\%\) 69.16 % vs. \(31.58\%\) 31.58 % , p < 0.001). The estimated \(\mathrm {StO_{2}}\) StO 2 showed a strong negative correlation with local capillary lactate (r=-0.72, p < 0.001). While quantitative ICG-FI metrics ( \(\mathrm {T_{1/2}}\) T 1 / 2 and \(\mathrm {AUC_{50\%}}\) AUC 50 % ) revealed significantly reduced perfusion at the anastomosis site compared to well-perfused tissue (p < 0.001), they showed only a moderate correlation with \(\mathrm {StO_{2}}\) StO 2 (r=0.50, p < 0.001). Notably, in a patient who developed anastomotic leakage, both modalities detected ischemia intraoperatively, but they show different transition borders, with SI indicating a more extensive hypoxic area than ICG-FI.

Conclusion

Snapshot SI provides a real-time, objective assessment of tissue oxygenation without the need for contrast agents. Its strong correlation with lactate suggests it may offer potential complementary value to dye-based perfusion imaging, potentially improving anastomotic site selection, although outcome-based validation studies in larger cohorts are needed.