3D liver model-based surgical education improves preoperative decision-making and patient satisfaction-a randomized pilot trial

Precision surgery for hepatocellular carcinoma

Hepatocellular carcinoma arises in the setting of cirrhosis in most cases, requiring multidisciplinary input to define resectability. In this regard, more precise surgical management considers patient factors and anatomical states, including resection margins, tumour biology, and perioperative therapy. Together with advances in surgical techniques, this integrated approach has resulted in considerable improvements in patient morbidity and oncological outcomes. Despite this, recurrence rates in hepatocellular carcinoma remain high. As the systemic treatment landscape in hepatocellular carcinoma continues to evolve and locoregional options are increasingly used, we review current and future opportunities to individualise the surgical management of patients with hepatocellular carcinoma.

International multidisciplinary consensus recommendations on clinical application of three-dimensional visualization in precision surgery for pediatric liver tumors

BACKGROUND

Pediatric liver tumors are predominantly primary malignant tumors, and complete tumor resection with sufficient preservation of liver tissue is crucial for improving prognosis. However, due to the delicate anatomical structure of the pediatric liver and the relatively large size of the tumors, especially in difficult cases, the surgical challenges are substantial. While precision liver surgery are widely applied in clinical practice, pediatric cases require more customized approaches. The application of three-dimensional (3D) visualization technology is crucial for enhancing surgical accuracy, allowing for precise preoperative planning and intraoperative guidance.

METHODS

This consensus was collaboratively developed by 36 experts from eight countries, using the Glaser's state-of-the-art method to review and refine the draft.

RESULTS

The final consensus resulted in 15 international multidisciplinary consensus recommendations on clinical application of 3D visualization in precision surgery for pediatric liver tumors.

CONCLUSION

This consensus will standardize the application of 3D visualization technology in precision surgery for pediatric liver tumors to improve outcomes and reduce risks.

The Role of 3D Printing and Augmented Reality in the Management of Hepatic Malignancies

Introduction: 3-dimensional (3D) printing and augmented reality (AR) are emerging technologies that are used in a wide variety of scientific fields. Among them, medicine is one of the most promising fields of application since these technologies can benefit not only surgeons, but also medical/surgical trainees, patients and can potentially benefit health care systems with better educated staff working on personalized solutions for the patients. Thus, potentially reducing intra-operative and post operative complications and overall costs for the health care systems. Hepatic malignancy surgeries are some of the most demanding surgeries that could a general surgeon perform. The intra-operative and post-operative risks and complications render them demanding. In literature there are cases of research studies including applications of 3D printing and augmented reality in hepatic malignancies. Methods: For this, a comprehensive literature search was conducted on Scopus and Pubmed databases (latest search September 5, 2024). Research studies that included applications of 3D printing and AR in hepatic malignancies were eligible for the review. Results: Herein, twelve papers have been included and presented, which either include the use of 3D printing or the use of AR. There are some cases where both technologies were used simultaneously. 3D printing technology and AR can be used alone or in combination together to aid in the management of hepatic malignancies. Conclusion: Encouraging results (eg, efforts to reduce cost of 3D printing, proper surgical pre-planning, usefulness in education of medical personnel and patients) from the use of these technologies, not only qualitatively but also quantitatively, show that the medical staff can help patients and improve their part of the health system. Yet much more studies need to validate whether the use of these two technologies provides positive results on the surgeries or not.

Vascular liver segmentation: a narrative review on methods and new insights brought by artificial intelligence

Liver vessel segmentation from routinely performed medical imaging is a useful tool for diagnosis, treatment planning and delivery, and prognosis evaluation for many diseases, particularly liver cancer. A precise representation of liver anatomy is crucial to define the extent of the disease and, when suitable, the consequent resective or ablative procedure, in order to guarantee a radical treatment without sacrificing an excessive volume of healthy liver. Once mainly performed manually, with notable cost in terms of time and human energies, vessel segmentation is currently realized through the application of artificial intelligence (AI), which has gained increased interest and development of the field. Many different AI-driven models adopted for this aim have been described and can be grouped into different categories: thresholding methods, edge- and region-based methods, model-based methods, and machine learning models. The latter includes neural network and deep learning models that now represent the principal algorithms exploited for vessel segmentation. The present narrative review describes how liver vessel segmentation can be realized through AI models, with a summary of model results in terms of accuracy, and an overview on the future progress of this topic.

The rise of multidisciplinary clinics in hepatology: A practical, how-to-guide, and review of the literature

Multidisciplinary clinics (MDCs) are gaining momentum throughout the medical field, having initially been pioneered in oncology clinics due to their inherent ability to streamline complex care and improve both patient outcomes and the patient care experience. Liver transplant and hepatobiliary tumor clinics are examples of established MDCs in hepatology. With the changing landscape of liver disease in regard to etiology and patient complexity and acuity, there is a clear need for efficient, highly coordinated care. These changes highlight opportunities for hepatology MDCs in alcohol-associated liver disease, metabolic dysfunction-associated steatotic liver disease, and palliative care. This review provides practical advice in navigating the complex logistics of establishing and maintaining a hepatology MDC while also reviewing the emerging evidence on clinical outcomes for patients seen in these MDCs. As hepatology looks to the future, establishment of MDCs in key clinical areas will be the cornerstone of patient care.

Use of modern three-dimensional imaging models to guide surgical planning for local control of pediatric extracranial solid tumors

INTRODUCTION

In complex pediatric surgical oncology, surgical planning is contingent upon data gathered from preoperative imaging. Three-dimensional (3D) modeling and printing has been shown to be beneficial for adult presurgical planning, though pediatric literature is less robust. The study reviews our institutional experience with the use of 3D image segmentation and printed models in approaching resection of extracranial solid tumors in children.

METHODS

This is a single institutional series from 2021 to 2023. Models were based on computed tomography and magnetic resonance imaging studies, optimized for 3D imaging. The feasibility and creation of the models is reviewed, including specific techniques, software, and printing materials from our institution. Clinical implications for surgical planning are also described, along with detailed preoperative and intraoperative images.

RESULTS

3D modeling and printing was performed for four pediatric patients diagnosed with extracranial solid tumors. Diagnoses included Ewing sarcoma, hepatoblastoma, synovial sarcoma, and osteosarcoma. No intraoperative complications or discrepancies with the preoperative 3D-printed model were noted. No evidence of local recurrence was identified in any patient thus far.

CONCLUSION

Our institutional series demonstrates a wide spectrum of clinical application for 3D modeling and printing technology within pediatric surgical oncology. This technology may aid in surgical planning for both resection and reconstruction, can be applied to a diverse breadth of diagnoses, and may potentially augment patient and/or family education about their condition.

Parathyroidectomy for solitary parathyroid adenoma via trans-areola single site endoscopic approach: Results of a case-match study

BACKGROUND

This study aimed to establish the standardized procedure of trans-areola single site endoscopic parathyroidectomy (TASSEP), and to compare the performance of TASSEP with that of conventional open parathyroidectomy (COP).

METHODS

This study enrolled 40 patients with primary hyperparathyroidism (PHPT) who underwent TASSEP, and included 40 of 176 PHPT patients who underwent COP based on propensity score matching. The retrospective analysis was conducted based on prospectively collected data. Perioperative outcomes, including surgical profile, surgical burden and cosmetic results and follow-up were reported. The learning curve was described using a cumulative sum (CUSUM) analysis.

RESULTS

40 TASSEPs were completed successfully without conversions or severe complications. There was no statistically significant difference in operation time between TASSEP and COP groups (80.83 ± 11.95 vs. 76.95 ± 7.30 min, p = 0.084). Experience of 17 cases was necessitated to reach the learning curve of TASSEP. Postoperative pain score and traumatic index (C-reactive protein and erythrocyte sedimentation rate) in TASSEP were apparently lower than those in COP group (p < 0.05). During the proliferation and stabilization phases, TASSEP was associated with significantly better incision recovery and cosmetic scores. Postoperative serum calcium and PTH levels throughout the follow-up period indicated satisfactory surgical qualities in both groups.

CONCLUSION

Based on precise preoperative localization and intraoperative planning facilitated by three-dimensional (3D) virtual modeling, TASSEP can be feasibly performed on selected patients with satisfactory success rates and low complication rates, providing preferable cosmetic results and alleviating the surgical burden to a certain extent.