conventional instruments. For these reasons it
is useful to guide the surgeon during the
implant [9, 10]. Literature demonstrated that
CAS surgery could improve coronal plane ali-
gnment accuracy, rotational positioning in
axial plane of femoral component and balan-
ced-gap kinematics during TKA, as regards to
traditional techniques [11, 12].
A navigation system should assure not only
good alignment but also joint kinematics,
since it supplies a quantitative feedback, and
should increase reliability, repeatability and
accuracy of a surgical procedure. Many stu-
dies,
in vitro
and
in vivo
, used CAS to evalua-
te and improve the kinematic path of a specific
prosthesis design, comparing it with those of
intact knee [13].
Only few studies dealt with the effect that
pathologies like osteoarthritis could have on
knee kinematics and how kinematic changes
after TKA implant [14, 2].
In this paper we describe our experience with
the navigated TKA, in particular we focused our
attention on the analysis of in vivo knee kine-
matics with the purpose to obtain a customized
surgery, according not only to patients morpho-
logic features, but also to his kinematic patterns.
OUR EXPERIENCE
Our experience with surgical navigation star-
ted in 2001. The early researches was conduc-
ted
in vitro
to define and optimize the surgical
protocol [15] and subsequently we started in
vivo studies, on various surgical procedures as
TKA, UKA and ACL reconstruction [16, 17].
We used a navigation system equipped with a
software focused on knee kinematics acquisi-
tions; the set of data collected intraoperative-
ly are elaborated off-line with a specific tool-
box dedicated to diarthrodial joint kinematic
analysis [18].
As regards TKA, we focused our attention on
intraoperative passive kinematics analysis.
We evaluated knee stability before and after
TKA, computing knee laxities and 3D
motions, to study, with a customised acquisi-
tion protocol, the effect of prosthesis implant
on knee kinematics.
Besides controlling measurements like the
coronal plane alignment in the positioning of
total knee component, that is the original appli-
cation of a navigated TKA, our research activi-
ty was centred on some kinematic aspects like
the analysis of the passive range of motion
(PROM), the balanced-gap kinematics, the
evaluation of the knee laxities as varus/valgus,
at 0 deg and 30 deg of flexion, and ante-
rior/posterior, at 90 deg of flexion, laxities, and
the amount of internal/external tibial axial rota-
tion around the proximo-distal axis [1].
Recently the kinematic technique was also
used to study the functional flexion axis (FFA)
method to describe knee kinematics. The FFA
is a reference axis that doesn’t depend on sub-
jectively assessed anatomical landmarks but
that results directly from the biomechanical
behaviour of the single subject. In particular
starting from the hypothesis that in healthy
subjects there is a correspondence between the
transepicondylar axis (TEA) and FFA [19, 20,
21] we analysed whether there is the same cor-
respondence also for osteoarthritic knees and
we used this kinematic method to study the
effect of degenerative pathologies like osteoar-
thritis on the kinematic behaviour of the limb.
It is indeed common knowledge that this kind
of disease could affect knee motion and have a
deep influence on mobility and physical func-
tioning of the subject. They can cause joint
deformities, most commonly sagittal plane
deformities, and consequently alterations in
knee mobility and function. Therefore we
thought it would be important to understand
the role of the pathology on joint kinematics,
most of all to determine correctly the
limb alignment and the rotational positioning
of femoral component in TKA.
The main results of our studies demonstrated our
preliminary hypotheses that navigation system
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