cells
Review
Computer Navigation and 3D Printing in the Surgical
Management of Bone Sarcoma
Robert Allan McCulloch
1,
*, Tommaso Frisoni
2,3
, Vineet Kurunskal
4
, Davide Maria Donati
2,3
and Lee Jeys
4
Citation: McCulloch, R.A.; Frisoni,
T.; Kurunskal, V.; Maria Donati, D.;
Jeys, L. Computer Navigation and 3D
Printing in the Surgical Management
of Bone Sarcoma. Cells 2021, 10, 195.
https://doi.org/10.3390/cells10020195
Academic Editor: Annalisa Santucci
Received: 19 December 2020
Accepted: 18 January 2021
Published: 20 January 2021
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1
Oncology Arthroplasty Fellow, Royal Orthopaedic Hospital, Birmingham B15 2TT, UK
2
3rd Orthopaedic and Traumatologic Clinic prevalently, Oncologic—IRCCS Rizzoli Orthopaedic Institute,
40126 Bologna,Italy; tommaso.frisoni@ior.it (T.F.); Davide.mariadonati@ior.it (D.M.D.)
3
Biomedical and Neuromotor Sciences Department, University of Bologna, 40126 Bologna, Italy
4
Orthopaedic Oncology Surgeon, Royal Orthopaedic Hospital, Birmingham B15 2TT, UK;
vineet.kurunskal@nhs.net (V.K.); lee.jeys@nhs.net (L.J.)
* Correspondence: Robert.mcculloch@nhs.net; Tel.: +44-078-2899-4206
Abstract: The long-term outcomes of osteosarcoma have improved; however, patients with metas-
tases, recurrence or axial disease continue to have a poor prognosis. Computer navigation in surgery
is becoming ever more commonplace, and the proposed advantages, including precision during
surgery, is particularly applicable to the field of orthopaedic oncology and challenging areas such as
the axial skeleton. Within this article, we provide an overview of the field of computer navigation and
computer-assisted tumour surgery (CATS), in particular its relevance to the surgical management
of osteosarcoma.
Keywords: osteosarcoma; computer-assisted surgery; patient-specific instrumentation; computer
navigation
1. Introduction
Osteosarcoma (OS) is defined by neoplasms that have the histological characteristics
of producing an osteoid and being associated with malignant mesenchymal cells [1]. There
are varying histological subtypes, but the vast majority (80–90%) are high-grade OS [2].
In the majority of cases the aetiology is unknown; however, two genetic mutations are
associated with OS: a mutation of the retinoblastoma gene, and an autosomic recessive
mutation of p53 in Li–Fraumeni syndrome [3].
The overall incidence of OS is 0.2–3/100,000 per year in Europe and its most common
anatomical sites are the distal femur, proximal tibia and proximal humerus [4–6]. Ten
percent of cases present in the axial skeleton, with the majority originating in the pelvis.
This patient subgroup has a higher proportion of patients ages 60 and above [7,8].
Survivorship of OS in extremity localised, non-metastatic disease is 60–70%. However,
in metastatic disease, the 5-year overall survival drops to 28–33% [9]. Complete surgical
resection remains essential for cure [10], yet there remains some controversy as to the
definition of an adequate margin of resection, with evidence that close margins (<5 mm)
versus wide margins (>10 mm) did not have an effect on rates of local recurrence [11,12].
Due to the challenges of the surrounding anatomy and the complex three-dimensional
structure of the pelvis, a complete resection in the pelvis can be more challenging than
in the appendicular skeleton. It has been reported that the probability of an experienced
surgeon achieving a 1 cm surgical margin in all three planes on a simulated tumour model
of the pelvis was only 52% [13]. The sequelae of inadequate resection are significant, with
recurrence rates of 70% and 92% for marginal and intralesional resections, respectively, for
OS [14,15].
The uptake in the use of computer navigation in the surgical management of OS is in
response to these factors, in a bid to minimise the incidence of inadequate resection margins.
Cells 2021, 10, 195. https://doi.org/10.3390/cells10020195 https://www.mdpi.com/journal/cells