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Method Article
The utilization of 3D reconstruction and virtual simulations in preoperative planning for liver resections represents a significant advancement in surgical oncology. Our team's 3D-LAST (three-dimensional location approach with the silk thread) technique enables safe, efficient, precise tumor removal with practical intraoperative navigation, promising broad medical adoption.
When performing hepatectomy to treat liver tumors, accurately determining the resection margin and ensuring the adequacy of residual liver parenchyma are of utmost importance. At present, intraoperative ultrasound and indocyanine green fluorescence navigation are frequently utilized methods. However, certain technical constraints prevent their extensive application. We have developed the 3D-LAST technique for precise liver tumor resection. This technique makes use of computer post-processing to extract features from computed tomography (CT) scans and generate volumetric images, creating three-dimensional (3D) visualizations. This provides a valuable resource for clinical decision-making, as it can vividly display complex internal anatomical structures in an intuitive and stereoscopic manner. In this study, preoperative 3D positioning was carried out on patients with a single liver tumor to identify anatomical landmarks and calculate the resection range. During the surgical procedure, margin lines of lengths calculated by preoperative 3D software were set up, and silk thread was used to mark the edges. This approach offers a time-saving and accurate way to determine the optimal cutting plane. The objective of this article is to demonstrate the viability of applying 3D-LAST in laparoscopic segmentectomy for liver tumors. The results of the research indicate that 3D-LAST is a safe, effective, and practical new method for intraoperative liver navigation, and it has great potential for widescale promotion.
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.
The study was approved by the review committee of West China Hospital of Sichuan University. Informed consent was obtained from the patient before the surgery.
1. Preoperative preparation
2. Operative procedure
3. Post-hepatectomy management
The total operation time was 150 min, with 50 mL of blood loss that did not require a blood transfusion. Intraoperative urine volume was 500 mL, and intraoperative infusion volume was 800 mL. On the 1st day after surgery, the blood test results showed a mild increase in transaminase levels. CT scan of the abdomen showed complete resection of the liver tumor and no significant ascites 3 days after surgery. The drain was removed on postoperative day 4. The patient had an uneventful postoperative course and was d...
With the development of technology and the accumulation of experience, laparoscopic liver resection has become more and more common, and its indications are almost as extensive as those of open surgery. Compared with laparotomy, laparoscopic liver resection has many advantages, such as less pain, fewer perioperative complications, and faster recovery7,8,9. However, laparoscopic liver resection also faces some inherent difficulti...
The authors report no conflict of interest.
This work was supported by the Guizhou Provincial Health Commission Science and Technology Fund Project(gzwkj2025-300), the Project of Guizhou Provincial Department of Science and Technology (Qian Ke He Cheng Guo, LC[2024]109 ).
Name | Company | Catalog Number | Comments |
BiClamp LAP | ERBE Company | No.20195-132 | |
Laparoscopic system | Olympus | VISERA OTV-S400 | |
Ultrasonic knife | Johnson and Johnson MedTech | ETHICON HARMONIC |
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