Robotic-Assisted Inferior Vena Cava Filter Retrieval

Owji, Shahin; Lu, Tony; Loh, Thomas M.; Schwein, Adeline; Lumsden, Alan B.; Bismuth, Jean

doi:10.14797/mdcj-13-1-34

Cited by 8 publications

(3 citation statements)

References 18 publications

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“…Additionally, robotics can also find its use in the retrieval of inferior vena cava (IVC) filters. 38 IVC filters can be used as alternative therapy for VTE in those individuals who fails anticoagulation therapy. However, filters can only be used for short term, as their extended use may be associated with several complications, thus calling for timely retrieval.…”

Section: Clinical Applications Of Ai-assisted Robotics In Thrombosismentioning

confidence: 99%

Using Artificial Intelligence to Manage Thrombosis Research, Diagnosis, and Clinical Management

Mishra

Ashraf

2019

Semin Thromb Hemost

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Thrombosis development in either arterial or venous system remains a major cause of death and disability worldwide. This poorly controlled in vivo clotting could result in many severe complications including myocardial infarction, venous thromboembolism, stroke, and cerebral venous thrombosis, to name a few. These conditions are collectively known as thromboembolic disorders (TEDs). Appropriate understanding of TEDs is challenging, as they are multifactorial and involve several and often different risk factors. Hence, it requires a collective effort and data from numerous research studies to fully comprehend molecular mechanisms for prediction, prevention, treatment, and overall management of these conditions. To accomplish this arduous feat, a comprehensive approach is required that can compile thousands of available experimental data and transform these into more applicable and purposeful findings. Thus, large datasets could be utilized to generate models that could be predictive of how an individual would respond when subjected to any kind of additional risk factors or surgery, hospitalization, etc., or in the presence of some susceptible genetic variations. Artificial intelligence-based methods harness the capabilities of computer software to imitate human behaviors such as language translation, visual perception, and, most importantly, decision making. These emerging tools, if appropriately explored, might assist in processing of large data and tackle the complexities of identifying novel or interesting pathways that could otherwise be hidden due to their enormity. This narrative review attempts to compile the applications of various subfields of artificial intelligence and machine learning in the context of thrombosis research to date. It further reflects on the potential of artificial intelligence in transforming enormous research data into translational application in the form of predictive computational models.

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Section: Clinical Applications Of Ai-assisted Robotics In Thrombosismentioning

confidence: 99%

Using Artificial Intelligence to Manage Thrombosis Research, Diagnosis, and Clinical Management

Mishra

Ashraf

2019

Semin Thromb Hemost

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“…13 This would have been hard to achieve with a conventional catheter owing to limited stability and trackability. Other reports describe the use of the system in vena cava filter retrieval, 14 stenting of a tight pulmonary artery stenosis, 15 retrieval of a foreign body within the pulmonary arterial tree, 16 and coil embolisation of an ascending aortic pseudoaneurysm. 17 Although these clinical reports certainly illustrate the feasibility and potential advantages of robotic navigation platforms across a range of clinical scenarios, clinical trial data is lacking and this may be in part because of the recognition by clinicians that the routine use of the robotic platform in straightforward index cases may not be cost-effective.…”

Section: The Current State and The Future Directionmentioning

confidence: 99%

Endovascular robotics

Rolls

Riga

2018

annals

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“…Inferior vena cava (IVC) filter placement is indicated for any contraindication to anticoagulation in the presence of deep vein thrombosis (DVT). Placement is recommended to be less than 3 to 4 months, and the mainstay of standard removal has been via the endovascular approach, mainly snare techniques (1,2). However, complications can occur after IVC filter placement, including malposition, caval penetration, and filter fracture.…”

Section: Introductionmentioning

confidence: 99%

Successful experiences and feasible techniques of robotic-assisted inferior vena cava filter retrieval after failure of endovascular attempts: a case report

Gong¹,

Ni²,

Liang³

et al. 2023

Transl Androl Urol

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Background: The mainstay of inferior vena cava (IVC) filter retrieval has been snare techniques. However, caval penetration or filter fracture makes endovascular approaches challenging, which in turn leads to more aggressive attempts, including open surgical procedures. The fact that laparoscopic approaches (especially the da Vinci robotic system) with minimal invasion allow for equivalent long-term outcomes as compared with open procedures is encouraging. To date, few centers have attempted secondary minimal invasive operation after filter retrieval failure. In this study, we presented a case of robot-assisted filter retrieval after failure of snare techniques. The operative time was 55 minutes, which was the shortest time reported in the collected studies thus far.Case Description: A 27-year-old female was diagnosed with deep vein thrombosis after delivery and placement of an IVC filter. Local surgeons tried endovascular approaches to retrieve the filter, but failed twice. She was then transferred to our hospital and computed tomography venography revealed that the filter struts had protruded outside the cava wall. Based on our previous experiences of robotic surgery with vena cava graft replacement, we decided to perform robotic-assisted filter retrieval. The operation was successful, and the estimated blood loss was less than 50 mL. The patient was discharged 5 days after the operation and presented for reexamination 6 months later. Ultrasound showed that the IVC blood flow was smooth. No complications occurred, and the renal function was nearly normal.Conclusions: Filter retrieval failure through the endovascular approach is challenging, and occasionally, open surgery is needed as a second attempt. With the advancement of laparoscopic approaches, especially the enhanced ergonomics of the robotic system, aggressive operation can be avoided, and robotic-assisted filter retrieval can offer an alternative for surgeons to manage these issues.

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Robotic-Assisted Inferior Vena Cava Filter Retrieval

Cited by 8 publications

References 18 publications

Using Artificial Intelligence to Manage Thrombosis Research, Diagnosis, and Clinical Management

Using Artificial Intelligence to Manage Thrombosis Research, Diagnosis, and Clinical Management

Endovascular robotics

Successful experiences and feasible techniques of robotic-assisted inferior vena cava filter retrieval after failure of endovascular attempts: a case report

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