Transcript: Robotic right complete mesocolectomy with patient‐specific 3D‐modelling for planning and intra‐operative navigation

In the last years, cardiovascular diagnosis, surgical planning and intervention have taken advantages from 3D modelling and rapid prototyping techniques. The starting data for the whole process is represented by medical imagery, in particular, but not exclusively, computed tomography (CT) or multi-slice CT (MCT) and magnetic resonance imaging (MRI). On the medical imagery, regions of interest, i.e. heart chambers, valves, aorta, coronary vessels, etc., are segmented and converted into 3D models, which can be finally converted in physical replicas through 3D printing procedure. In this work, an overview on modern approaches for automatic and semiautomatic segmentation of medical imagery for 3D surface model generation is provided. The issue of accuracy check of surface models is also addressed, together with the critical aspects of converting digital models into physical replicas through 3D printing techniques. A patient-specific 3D modelling and printing procedure (Figure 1), for surgical planning in case of complex heart diseases was developed. The procedure was applied to two case studies, for which MCT scans of the chest are available. In the article, a detailed description on the implemented patient-specific modelling procedure is provided, along with a general discussion on the potentiality and future developments of personalized 3D modelling and printing for surgical planning and surgeons practice.

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3D MODELLING AND RAPID PROTOTYPING FOR CARDIOVASCULAR SURGICAL PLANNING – TWO CASE STUDIES

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xli-b5-887-2016 ◽

2016 ◽

Vol XLI-B5 ◽

pp. 887-893 ◽

Cited By ~ 2

Author(s):

E. Nocerino ◽

F. Remondino ◽

F. Uccheddu ◽

M. Gallo ◽

G. Gerosa

Keyword(s):

3D Printing ◽

Rapid Prototyping ◽

Case Studies ◽

Surgical Planning ◽

Heart Diseases ◽

Coronary Vessels ◽

3D Modelling ◽

Patient Specific ◽

Surface Model ◽

Medical Imagery

In the last years, cardiovascular diagnosis, surgical planning and intervention have taken advantages from 3D modelling and rapid prototyping techniques. The starting data for the whole process is represented by medical imagery, in particular, but not exclusively, computed tomography (CT) or multi-slice CT (MCT) and magnetic resonance imaging (MRI). On the medical imagery, regions of interest, i.e. heart chambers, valves, aorta, coronary vessels, etc., are segmented and converted into 3D models, which can be finally converted in physical replicas through 3D printing procedure. In this work, an overview on modern approaches for automatic and semiautomatic segmentation of medical imagery for 3D surface model generation is provided. The issue of accuracy check of surface models is also addressed, together with the critical aspects of converting digital models into physical replicas through 3D printing techniques. A patient-specific 3D modelling and printing procedure (Figure 1), for surgical planning in case of complex heart diseases was developed. The procedure was applied to two case studies, for which MCT scans of the chest are available. In the article, a detailed description on the implemented patient-specific modelling procedure is provided, along with a general discussion on the potentiality and future developments of personalized 3D modelling and printing for surgical planning and surgeons practice.

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Patient-Specific Anatomy: The New Area of Anatomy Based on 3D Modelling

Human–Computer Interaction Series - Digital Anatomy ◽

10.1007/978-3-030-61905-3_15 ◽

2021 ◽

pp. 285-297

Author(s):

Luc Soler ◽

Didier Mutter ◽

Jacques Marescaux

Keyword(s):

3D Modelling ◽

Patient Specific

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3D modelling and printing of craniofacial implant template

Rapid Prototyping Journal ◽

10.1108/rpj-12-2017-0257 ◽

2019 ◽

Vol 25 (2) ◽

pp. 397-403 ◽

Cited By ~ 2

Author(s):

Deepkamal Kaur Gill ◽

Kartikeya Walia ◽

Aditi Rawat ◽

Divya Bajaj ◽

Vipin Kumar Gupta ◽

...

Keyword(s):

Bone Cement ◽

Computer Aided Design ◽

3D Modelling ◽

Patient Specific ◽

3D Design ◽

Time Saving ◽

Content Type ◽

Cranial Defect ◽

Computer Aided ◽

Cad Cam

Purpose To relieve intracranial pressure and save patient inflicted with severe head injury, neurosurgeons restore cranial defects. These defects can be caused because of trauma or diseases (Osteomyelitis of bone) which are treated by cranioplasty, using the preserved bone of patient. In case of non-availability of bone, a cranial implant is generated using a biocompatible synthetic material, but this process is less accurate and time-consuming. Hence, this paper aims to present the use of rapid prototyping technology that allows the development of a more accurate patient-specific template and saves the surgery time. Design/methodology/approach A five-year-old girl patient having cranial defect was taken up for cranioplasty. CT (computed tomography) scans of the patient were used to generate 3D design of the implant suitable to conceal the defect on the left frontal portion using CAD/CAM (computer-aided design/ computer-aided manufacturing) software. The design was used for 3D printing to manufacture a base template, which was finally used to fabricate the actual implant using Simplex® P bone cement material to conceal the defect. Findings Surgery using Simplex® P implant was performed successfully on the patient, giving precise natural curvature to left frontal portion of the patient, decreasing surgery time by about 30 per cent. Originality/value The case demonstrates the development of a convenient, time-saving and aesthetically superior digital procedure to treat cranial defect in the absence of preserved bone flap using CT scan as input. 3D modelling and printing were deployed to produce an accurate template which was used to generate an implant using bone cement biocompatible material.

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Enhanced 3D visualization for planning biventricular repair of double outlet right ventricle: a pilot study on the advantages of virtual reality

European Heart Journal - Digital Health ◽

10.1093/ehjdh/ztab087 ◽

2021 ◽

Author(s):

Elena Giulia Milano ◽

Martin Kostolny ◽

Endrit Pajaziti ◽

Jan Marek ◽

William Regan ◽

...

Keyword(s):

Virtual Reality ◽

Right Ventricle ◽

3D Visualization ◽

Double Outlet Right Ventricle ◽

3D Modelling ◽

Surgical Strategy ◽

Patient Specific ◽

Biventricular Repair ◽

Cross Sectional ◽

3D Printed

Abstract Aims We aim to determine any additional benefit of virtual reality (VR) experience if compared to conventional cross-sectional imaging and standard 3D modelling when deciding on surgical strategy in patients with complex double outlet right ventricle (DORV). Methods and results We retrospectively selected ten consecutive patients with DORV and complex interventricular communications, who underwent biventricular repair. An arterial switch operation (ASO) was part of the repair in three of those. CT or cardiac MRI images were used to reconstruct patient-specific 3D anatomies, which were then presented using different visualisation modalities: 3D pdf, 3D printed models, and VR models. Two experienced paediatric cardiac surgeons, blinded to repair performed, reviewed each case evaluating the suitability of repair following assessment of each visualization modalities. In addition, they had to identify those who had ASO as part of the procedure. Answers of the two surgeons were compared to the actual operations performed. There was no mortality during the follow-up (mean = 2.5 years). Two patients required reoperations. After review of CT/CMR images, the evaluators identified the surgical strategy in accordance with the actual surgical plan in 75% of the cases. When using 3D pdf this reached only 70%. Accordance improved to 85% after revision of 3D printed models and to 95% after VR. Use of 3D printed models and VR facilitated the identification of patients who required ASO. Conclusion VR can enhance understanding of suitability for biventricular repair in patients with complex DORV if compared to cross-sectional images and other 3D modelling techniques.

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