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F. Picard, F. Leitner, A. Gregori, D. Saragaglia

36

accuracy the desired leg alignment, which was

defined as 180° femoro tibial mechanical angle,

with the femoral and the tibial components

placed respectively to 90° with respect to the

femoral and tibial mechanical axes. This

technology was used at such an early stage, that

users were very anxious, to not say suspicious

of the numbers displayed on the monitor screen,

in spite of extensive laboratory experiments

[35, 36]. However, very limited number of

patients had been done with computer-assisted

navigation at that time and therefore the

outcomes were unknown. This phase was very

stressful and time-consuming because not all

clinical situation had been tested before, so that

conventional instrument was also used to

control any computer recommendations. It took

few years of trial-errors testing before the

system was considered as fully reliable.

Meanwhile, each phase of computer-assisted

navigation technology, i.e. set-up, registration

and planning described above were improved

in the view of facilitating the work of

arthroplasty surgeons. On the other hand, there

was still a great need for improvements for

user-friendliness of the technology compared

to conventional surgery. Most of the studies at

the beginning of 2000 showed that navigation

was clearly time-consuming [about 25% more

than traditional/conventional surgery] and was

also very disruptive, which put off most of the

arthroplasty surgeons from the technique.

Later, a study has confirmed that CT-free

navigation was as good as CT-based navigation

[12], which made the tool more appealing

because there was no need for any pre-operative

medical imaging, which were expensive and

time-consuming. The registration became

slightly easier, slicker and provided reliable

frame of reference on which the surgeon could

navigate the jigs to cut appropriately the distal

femur and the proximal tibia. Numerous

publications including meta-analysis confirmed

statistical improvement of leg alignment,

coronal and sagittal implant positions with the

use of CAS with respect to conventional instru­

mentation [37, 38, 39]. However there was still

controversies regarding CAS usefulness on

functional outcomes and long term implant

survivorships [40]. Obviously no one could

answer these relevant questions because the

technique was still to its infancy stage.

However, users could meanwhile analyse the

benefit of this technique on soft tissue

management, which is a known as a key factor

to TKA success.

Soft tissue

management software

The advance of new software enabled the

surgeons to assess flexion and extension gap of

the knee more accurately than before after the

tibial cut resection [41, 42]. Computer assisted

measurements allowing measuring flexion and

extension gaps between the femur and the

resected tibia very accurately.Most importantly,

with such planning feature the surgeon could

plan the full distal femoral cuts before any

actual cuts were even performed [43]. We used

more and more this software in the more

complex cases, such as fixed flexion contracture

valgus knees. Soft-tissue management in these

knees is very challenging. This technology

does provide a very accurate intra-operative

measuring soft tissue envelope tool to fine tune

and tailor soft tissue release during TKA. Some

of my colleagues continued to use the measured

resection technique, while some others used

uniquely the gap management technique.

Personally, I used one or the other depending

on the patient’s case complexity. Clearly this

type of instrument allowed us to improve the

way we assessed the knee and gave us

immediate feedback on the necessary sequential

release that had to be performed to ideally

align and balance the knee. It is striking to see

how different each knee is to the next one and

to observe, as well, how two similar pre-

operative knees (i.e. examination and x-rays)

would react completely differently to stress

measurements using accurate CAS assessment

and guiding. From there, several teams have

developed algorithms to ideally balance the

knees [43, 44, 45].