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Hepatectomy remains a cornerstone treatment for liver tumors. Over recent decades, surgical approaches have evolved from irregular resections to precise anatomical resections, driven by advancements in assistive technologies such as intraoperative ultrasound (IOUS) and indocyanine green (ICG) fluorescence imaging1,2. Despite these innovations, achieving optimal resection margins while preserving sufficient functional liver volume remains a critical challenge. The overall goal of our proposed 3D-LAST (three-dimensional location approach with silk thread) technique is to provide a precise, cost-effective, and universally accessible intraoperative navigation method for liver tumor resection, minimizing reliance on specialized equipment while improving spatial accuracy.
The rationale for developing 3D-LAST stems from the limitations of current techniques. IOUS, while valuable for real-time tumor localization, requires skilled sonographers for image interpretation and struggles with two-dimensional (2D) spatial visualization, often prolonging operative time3,4. ICG fluorescence navigation, though effective for superficial tumors, is constrained by its limited tissue penetration depth (5-10 mm), rendering it unreliable for deeper lesions5,6. Both methods depend on costly, specialized hardware, limiting their adoption in resource-constrained settings.
The advantages of 3D-LAST over existing techniques are multifaceted. Three-dimensional visualization, derived from preoperative computed tomography (CT) reconstructions, overcomes the spatial ambiguity of 2D imaging by providing stereoscopic anatomical guidance. Unlike ICG, which lacks depth resolution, 3D-LAST enables precise volumetric resection planning, reducing the risk of positive margins or excessive parenchymal loss. Furthermore, the use of silk thread for intraoperative marking eliminates the need for real-time imaging devices, streamlining workflow and reducing costs.
3D-LAST is particularly suited for centers lacking advanced imaging infrastructure or expertise in complex intraoperative navigation. It is ideal for single-tumor resections where anatomical landmarks are identifiable on preoperative CT and where minimizing procedural complexity is prioritized. By addressing the limitations of current methods and leveraging validated 3D technologies, 3D-LAST represents a pragmatic advancement in achieving precision liver surgery with broad clinical adaptability.
Case Presentation:
A 59-year-old man with upper abdominal discomfort was diagnosed with a 2.7 cm x 1.6 cm liver tumor in the right liver. The patient was previously diagnosed with gastric adenocarcinoma and underwent radical gastrectomy for gastric cancer, followed by routine chemotherapy. No extrahepatic metastasis was found on the preoperative contrast-enhanced CT scan. CA19-9, CA15-3, CA72-4, AFP, and CEA were normal.