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A Calculated Look
at the Donor Area: Assessing the Yield of Donor Harvesting
Technique |

Dr. John
Cole
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Reprinted with permission by Dr.
John Cole
www.forhair.com
John P. Cole, MD
Jean Marc Devroye, MD
"We work,
basically, only with donor hair."1 Surprisingly, it has taken us
considerable time to place emphasis on this portion of the procedure.
Conversely, two decades ago the foundation for soft natural hairlines
began with the employment of single hair grafts for the hairline. This
development was followed by the introduction of large numbers of natural
follicular groups to the single hairs in an irregular manner to fashion
a natural appearance to the recipient area. We have spent considerable
effort assessing and improving the aesthetics of the hair transplant.
More recently factors influencing survival and donor harvesting
techniques have surfaced as areas of significant interest to hair
restoration surgeons.2 Understanding these factors and assessing the
yield of donor harvesting technique requires an appreciation for the
contents of the donor region. The practitioner must also possess an
efficient means of recording the results of his dissection. He may then
compare his results to the known quantities in the donor region to
access the efficiency of his dissection.
There three densities, which should be evaluated with each procedure.
The first is the hair density or the number of hairs per square
centimeter. The second is the follicular density, which is the number of
follicular groups (FG) per square centimeters. The third is the number
of hairs per follicular group, which is a calculated value. Because it
is calculated, I call this the calculated density. The calculated
density determines the percentage of FG containing a specific number of
hairs. Therefore, once we know the calculated density, we can predict
the proportion of FG of any particular size. For instance, for any
particular calculated density you can estimate how many three hair
grafts, how many two hair grafts, and how many natural one hair grafts
should result from the donor dissection. How do we know this?
First, lets discuss the follicular group. What is it? Hairs exit the
skin in clusters. Some of the hairs exit from the same follicular canal,
while others exit from separate but closely neighboring canals. Many in
our field call these clusters follicular units. This is unfortunate
because the term follicular unit is a bastard term born out of wedlock
and has little more than historical significance to the average hair
transplant surgeon. The follicular unit is a histological term first
described by Headington in 19843. In Headington’s paper he stated that
the follicular unit is the pilosebaceous unit as disclosed at the
mid-dermal level. Headington noted that the density of the follicular
unit was about one per square millimeter. He pointed out that he did not
study regional or racial variation in this density. Headington stated
nothing about the surface anatomy of hair. It is the surface anatomy
that we deal with in hair restoration surgery.
There is a wide variation in the follicular density from one region of
the scalp to another and from one individual to another. Furthermore,
there is a wide variation in the calculated density from one patient to
another and from one region of the scalp to another. Individuals with a
high follicular density have a reduction in the distance between the
follicular groups, which results from packing more groups in the same
surface area. As the distance between the groups decreases it becomes
more difficult to assess whether a cluster of hair is composed of one
follicular unit or more than one follicular unit (fig 1a and 1b).
Another problem in assessment arises with the high calculated density.
Here it becomes difficult to determine whether the large follicular
group is composed of one or more than one follicular unit. In the
situation where there is a high follicular density and a high calculated
density, the problem is even more marked. For these reasons, it is
completely inappropriate to call our natural clusters of hair bearing
grafts follicular units. Rather, they should be termed follicular
groups, follicular clusters, or bundle grafts.

Fig 1a. 5 hair follicular
group

Fig 1b. Same 5 hair
follicular group appears to consist
of a two hair and three hair unit
Follicular
groups exist in symmetrical patterns, although there is a somewhat
irregular arrangement of the follicular groups within the pattern.
Jimenez and Ruifernandez first noted the formula L = k / sq rt of n,
where L is the density of hairs in square millimeters, k is a constant
depending on the geometric spacing of the follicular units, and n is the
density of hair in square centimeters. I have evaluated their formula
and found it to be accurate. The geometric arrangement of follicular
units follows a triangular pattern (fig 2). k is 10.7 for a triangular
pattern. In this case the density of follicular units must equal 114.5
per square centimeters for the distance between the follicular units to
equal 1 mm. The distance between the follicular units should be measured
from the center of the follicular unit.

Fig. 2
Jimenez
and Ruifernandez are to be commended for the introduction of this
powerful formula. With this formula we can make many predictions and
question old beliefs. Last year I presented a paper on the regional
variation of hair density and diameter. In this paper I noted that the 4
mm punch graft is elliptical in shape, not circular. For this reason the
surface area is greater than that of the 4 mm circle. The variation in
this surface area is noted in fig. 3.

Fig 3

Fig. 4. Four mm plug
biopsies presented by Whiting
at the 1999 New York Hair Meeting
You will
first note that the surface area of the 4 mm circle is 12.57 square
millimeters. You can see from this data that the mean surface area of
the 4mm punch graft is greater than 12.57 mm2 in all four regions. The
reason for this discrepancy results from the angle of hair growth. You
will recall that the length of an incision of a two bladed knife is
equal to the width between the blades divided by the sin of the angle of
insertion. This fact makes the length of the 4mm plug greater than the
width, an occurrence that results in an elliptical surface. Recall that
Headington and Whiting performed their research by evaluating plugs, as
well4. Neither took into account these geometric principals.
Unfortunately, this makes their data inaccurate. Analysis of Whiting’s
data shows that he found an average of 13 follicular units in the 4 mm
plug (fig 4.). This corresponds to a density of 1.03 FU per square
millimeter. Using the Principal of Jimenez and Ruifernandez (PJR)we
calculate the distance between follicular units at 1.05 mm or ½ mm
greater than purported by Headington, Whiting, and Bernstein5. If you
take into account that the average 4mm plug resulted in a surface area
greater than 12.57 mm2, the density of follicular units is actually less
than 1 per mm2. Extrapolating my mean surface area for the crown to
Whiting’s findings would result in an average density of 0.87 FU/ mm2.
Pluging this data into PJR results in a distance of 1.15 mm between
follicular units or 0.15 mm greater than the distance of Headington,
Whiting, and Bernstein. This suggests that the density of follicular
units and hair is less at the mid-dermal level than at the surface of
the skin. It implies that our skin structure is capable of creating more
density on the surface of the skin than actually exists in the human
body.
This also suggests we can define two distances between the follicular
units. LSA stands for the distance between the follicular units on the
surface area and LMD represents the distance between the follicular
units at the mid-dermis. We see that as the density of follicular units
decreases the distance between the follicular units increases and that
as the density of follicular units increases, the distance between the
follicular units decreases. Similary, if the distance between follicular
units increases (LMD), the density of follicular units must decrease if
k remains constant as compared to LSA where the distance between
follicular units decreases as the density of follicular units increases.
In other words, the skin structure appears generate more density from
less. This principal is supported by my findings from the study of
regional variation of density (fig 5.).

Fig 5. Surface Density of Follicular Groups per Square Millimeter
From this
chart we see that the corrected mean surface density of follicular
groups (number of follicular groups / the measured surface area) is 110
FG per cm2 in the crown. This is certainly greater than the extrapolated
value of Whiting’s crown density of follicular units at the mid-dermal
level (87 FU per cm2.). The mean LSA of the crown is calculated at
1.02mm between follicular groups.
Ron Shapiro and Walter Unger among others have stated they are able to
create the illusion of more fullness when they incorporate grafts
containing more than one follicular unit. Grafts containing more than
one follicular unit have a decreased LSA and consequently, a higher
density than the preoperative natural density of the donor region. This
powerful formula of Jiminez and Ruifernandez may shed some mathematical
support to their assertions. Could it be that decreasing L improves the
illusion of coverage? Indeed, there may be greater value to the larger
graft than is possible from the use of pure follicular groups alone. It
may be that as hair transplant surgeons, we are able to create
"more from less" by incorporating a combination of grafts.
The
calculated density may be assessed in different ways. First, you can
preoperatively count the number of follicular groups and hairs in a
specific surface area. You should exercise care to use adequate lighting
and magnification during this process. I have found the Rassman
Densitometer, also known as the 30X illuminated microscope (cat. No
63-851) at Radio Shack to note the follicular and hair densities and
subsequently, calculate the CD. Dr. Devorye pointed out that better
lighting and higher magnification improve the physician’s ability to
record hair counts. Therefore, the second way to obtain the CD is to
count the number of hairs you see in a series of grafts and then divide
the total number of hairs by the number of follicular groups you
assessed. The third way to obtain the CD is to count the total number of
hairs produced by the surgery staff and divide this by the number of
grafts created.
In 1996 I began collecting data from graft dissection. In all 107,000
grafts were evaluated. For the purpose of this evaluation I asked my
surgery staff to maintain the integrity of each follicular group and to
accurately as possible record the total number of hairs in each graft
produced in this manner. The dissection included the use of the Meji EMT
microscope and 5X loops. I first calculated the density for each patient
by dividing the total number of hairs produced by the total number of
grafts. I then quantified the number of 1, 2, 3, 4, 5, and 6 hair grafts
produced for that patient. I then placed all patients with the same
calculated density in a single group. I then determined the mean ratio
of one, two, three, four, five, and six hair follicular groups as a
percentage of 100. I found that the post operative calculated densities
could be applied to the pre-operative calculated density to achieve a
reasonable prediction of the expected number of a particular size graft.
(Fig 6 and Fig 7). The average calculated density is about 2.3 hairs per
mm2.

Fig 6. Comparison of the ratio of different size follicular units as a
function of the calculated density.
Fig 7.
Table of Calculated densities and the corresponding percentage of each
size follicular group.
An advantage of noting the calculated density of a particular technician
is that it allows a rapid assessment of their efficiency. If a
technician’s dissection results in a lower than expected calculated
density, the technician has fractionated the natural follicular groups
or had a higher than expected waste. If the technician produces a higher
than expected calculated density, they have produced grafts larger than
natural follicular groups.
It remains to increase the sample size for the extremes of calculated
densities (very high and very low calculated densities) in this study.
We should also begin to look at the pre-operative calculated density and
determine the ratio of one, two, 3, 4, 5, and 6 hair follicular groups
prior to dissection. This sample should be evaluated carefully with a
microscope. The hairs in each follicular group should be inspected
manually with a pair of fine jewelers forceps to determine the actual
number of hairs in each group. The results of this inspection should be
compared against the aforementioned findings to assess their validity.
Last year I explained to Dr. Devroye an idea for assisting in the
counting of grafts. The idea was to create a computer program that would
record the number of grafts, the rate of production, the total number of
hairs, the calculated density for each technician, and summarize the
data. The results were to be compared to the predicted results based on
a series of calculations I previously devised and the projected ratio of
graft sizes based on the pre-operative calculated density. Using this
data we could measure the output of hair, the efficiency of our staff,
the speed of our individual staff members, and continue in our quest to
maximize donor yield. I also desired to link the program to a voice
recognition software package so that the technicians would have their
hands freed to produce grafts. The act of writing the graft count takes
away from productivity. Accordingly, it is our hope to incorporate a
voice recognition program with this software to speed the graft
production phase, improve the accuracy of the hair count and graft
count. In this scenario a lavaliere microphone will be attached to the
collar of each graft cutter. As they cut the grafts they will record the
hair count of each graft. The Excel program will tabulate the total
number of hairs and total graft count in a worksheet. At the end of the
dissection the results will be printed and compared to the other members
of the dissection team. It will be possible to keep a running record of
the technician’s speed of production and efficiency of dissection
based on comparison with both other technicians and expected results.
Dr. Jean Devroye cleverly introduced the a power point program designed
to monitor the results of the dissection and to assist the tabulation of
the grafts, number of hairs, and the ratio of various size grafts. The
following is his description of this software.
When I discovered the world of the hair transplantation, I was very
interested in searching the accuracy of the counting of grafts and hair.
Dr J.Cole gave me the opportunity to develop this subject and I would
like to thank him.
Beginning with the existing database, I built an excell programming to
be able to calculate the number of grafts and hair before and after
cutting. The programming doesn’t only involve the estimations but
gives the opportunity to compare the results of the cutting obtained
with the theoretical expectations.
This includes the work of all the team or specifically of each
technician.
For the ones who were in Hawaii, you can notice the modifications
because the study is in progress and any comment is welcome.
Counting before cutting.
Compared to the old one, the new version is easier to use. In order to
use the programming, the first step is to measure the strip surface and
the hair density. I took the usual repartition of the different types of
FU according to the hair density. (based on Dr Cole’s chart).

For
example, if you base your FU density on 10 FU per 10 mm square, and you
observe a hair density equal of 16 hair per 10 mm square, you will find
4 singles and 6 doubles.
Mathematics confirm the theory: 4*1 + 6*2 = 16 hair.
Each hair density usually follows the repartition of the graph above.
But we are working on refining the database in function of different
criteria (ethnical origins, etc...).
Example: After measurement, you will obtain this board.
|
1's |
2's |
3's |
4's |
5's |
6's |
FU |
Hair |
mm2 |
| 1
th |
2,2 |
5 |
2,4 |
0,4 |
|
|
10 |
21 |
10 |
| 2
th |
1,9 |
4,6 |
2,7 |
0,6 |
|
|
10 |
22 |
10 |
|
3 th |
1,6 |
4,7 |
2,8 |
0,9 |
|
|
10 |
23 |
10 |
| |
|
|
|
|
|
|
|
|
|
| Aver./10
mm2 |
1,9 |
4,77 |
2,63 |
0,63 |
0 |
0 |
10 |
22 |
10 |
| |
|
|
|
|
|
|
|
|
|
| Number
of FU |
380 |
967 |
527 |
127 |
|
### |
|
4400 |
2000 |
| |
|
|
|
|
|
|
|
Hair |
Grafts |
Counting
after cutting.
The second part of this programming is to study the results after the
cutting.
Again, it’s very interesting to compare the theoretical goals with
the results obtained.
Using another board, we introduce the results of the cutting (either
the ones of each technician, or the ones of all the team together)
We also built a graphic pages which gives us a general view of the
results.
Now, we have the project to use the speech recognition system.
Such a performing system will help hair transplant surgery to work
fast and precise.
John P. Cole,
MD
Jean Marc Devroye, MD
References:
Arnold, James: Cyberspace Chat 7/4/2001
Cey, Victoria: 2001 ISHRS Opinion poll
Headington JT. Transverse microscopic anatomy of the human scalp. Arch
Dermatol 1984;120:449-56.
Whiting D: New York Hair Meeting 1999
Bernstein RM, Rassman WR:Follicular Transplantation Patient Evaluation
and Surgical Planning. Dermatologic Surgery 23:771-784, 1997 and
Bernstein R, Rassman W, Szaniawski W, Halperin A: Follicular
Transplantation. International Journal of Aesthetic and Restorative
Surgery 3:119-132, 1995.
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