Development and Evaluation of a Rib Statistical Shape Model for Thoracic Surgery

Pontiki, Antonia; Angelis, Sara De; Dibblin, Connor; Trujillo-Cortes, Isabella; Lamata, Pablo; Housden, James; Benedetti, Giulia; Billè, Andrea; Rhode, Kawal

doi:10.1109/embc48229.2022.9870985

Cited by 2 publications

(3 citation statements)

References 17 publications

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“…The most significant limitation is that the new statistical shape model method does not provide the patient with an identical replication of their original anatomy. The prosthesis is anatomically accurate for any patient with the characteristics used as input for the software, with average error of less than 2 mm ( 8 ). However, this patient's postoperative cosmetic result was satisfactory, with restoration of the natural chest contour.…”

Section: Discussionmentioning

confidence: 99%

“…In this case report, the optimised 3D modelling method described by Pontiki et al ( 8 ) was used to create 3D models of the 3rd, 4th, and 5th right ribs prior to the surgery. The software MATLAB was used, where a program was created to generate rib digital models within a few seconds, using a rib statistical shape model.…”

Section: Case Descriptionmentioning

confidence: 99%

“…The optimised, less labour-intensive method to produce a patient-specific, 3D digital rib model, described by Pontiki et al ( 8 ), was used to create the prosthesis of a patient undergoing chest wall resection and reconstruction for non-small cell lung cancer. A custom software developed using MATLAB (MathWorks, Natick, MA, USA) and a statistical shape model were used to generate three rib models based on the patient's age, height, weight, and gender.…”

Section: Introductionmentioning

confidence: 99%

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Creation of personalised rib prostheses using a statistical shape model and 3D printing: Case report

et al. 2022

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Management of chest wall defects after oncologic resection can be challenging, depending on the size and location of the defect, as well as the method of reconstruction. This report presents the first clinical case where patient-specific rib prostheses were created using a computer program and statistical shape model of human ribs. A 64-year-old male was diagnosed with non-small-cell lung cancer originating in the right upper lobe and invading the lateral aspect of the 3rd, 4th, and 5th ribs. Prior to surgical resection, a statistical shape model of human ribs was created and used to synthesise rib models in the software MATLAB (MathWorks, Natick, MA, USA). The patient's age, weight, height, and sex, as well as the number and side of the ribs of interest, were the inputs to the program. Based on these data, the program generated digital models of the right 3rd, 4th, and 5th ribs. These models were 3D printed, and a silicone mould was created from them. The patient subsequently underwent right upper lobectomy with en bloc resection of the involved chest wall. During the operation, the silicone mould was used to produce rigid prostheses consisting of methyl methacrylate and two layers of polypropylene mesh in a “sandwich” fashion. The prosthetic patch was then implanted to cover the chest wall defect. Thirty days after the surgery, the patient has returned to his pre-disease performance and physical activities. The statistical shape model and 3D printing is an optimised 3D modelling method that can provide clinicians with a time-efficient technique to create personalised rib prostheses, without any expertise or prior software knowledge.

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Section: Discussionmentioning

confidence: 99%

Section: Case Descriptionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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