LibreOffice/6.1.5.2$Linux_X86_64 LibreOffice_project/10$Build-2
0
0
14099
9999
true
$(brandbaseurl)/share/palette%3B$(user)/config/standard.sob
0
$(brandbaseurl)/share/palette%3B$(user)/config/standard.soc
$(brandbaseurl)/share/palette%3B$(user)/config/standard.sod
1270
false
$(brandbaseurl)/share/palette%3B$(user)/config/standard.sog
$(brandbaseurl)/share/palette%3B$(user)/config/standard.soh
false
false
true
true
false
false
true
false
false
false
$(brandbaseurl)/share/palette%3B$(user)/config/standard.soe
false
7
4
false
0
low-resolution
false
false
1
1
true
Vol.7 No.2 (2023): Journal Scientific
Investigar ISSN: 2588–0659
https://doi.org/10.56048/MQR20225.7.2.2023.
915-926
Vol.7-N° 2, 2023, pp. 915-926
Journal Scientific
MQRInvestigar 915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/9j/7gAOQWRvYmUAZAAAAAAB/9sAQwAGBAUGBQQGBgUGBwcGCAoQCgoJCQoUDg8MEBcUGBgX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 of anterior cranial base with mandibular position and sexual
dimorphism.
Correlación de la base craneal anterior con la posición mandibular y el
dimorfismo sexual.
Autores:
Bastidas Triana, Elkin David
UNIVERSIDAD CATÓLICA DE CUENCA
Especialista Egresado
Cuenca-Ecuador
iVBORw0KGgoAAAANSUhEUgAAACUAAAAlAQMAAAD/ULJAAAAABlBMVEUAAAD///+l2Z/dAAAA
AnRSTlP/AOW3MEoAAACWSURBVHjaNY6xDcIwFEQvQshlRnDPEn+K1KzABmYD1sgONKnyu1DS
uqMzKSkQl//t8IvT0/nkOwAj7I5fV+HVNHE1JT9AR9rDgfwBQUmgf9BCUV2F5AR5Dq4LmJFm
xAmpyM1YJWSwyNt90dX5VX3n5e/nPS8qvf1TTpIRZyRj3r2LtZfeGCq3PW1b24mzTfCQ7+8u
2G8DA8ZjdPvK0XQAAAAASUVORK5CYII=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elkin.bastidas@psg.ucacue.edu.ec
https://orcid.org/0009-0009-7889-663X
Lima Illescas, Miriam Verónica
UNIVERSIDAD CATÓLICA DE CUENCA
Docente
Cuenca -Ecuador
mlimai@ucacue.edu.ec.
https://orcid.org/0000-0001-6844-3826
Citación/como citar este artículo: Bastidas, Elkin. Y Lima, Miriam. (2023). Correlación de la base craneal anterior con la
posición mandibular y el dimorfismo sexual..MQRInvestigar, 7(2)
915-926
.
https://doi.org/10.56048/MQR20225.7.2.2023.
915-926
Fechas de recepción: 16-ABR-2023 aceptación: 16-MAY-2023 publicación: 15-JUN-2023
https://orcid.org/0000-0002-8695-5005
http://mqrinvestigar.com/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iVBORw0KGgoAAAANSUhEUgAAAGsAAABnCAIAAACIHysgAAAYgklEQVR4nO3da59cRdXG4R4M
yDkKRkCOISRGf/j9vwdCIiAJgiAJyknOCPNc7H+6stMzmenpHpjEx3oxdLr3rqp11zrXquLU
7u7u4n9ti3bqpCdw17f/Ibht+x+C27Y7GsGho3d2dk52Jge0OxFBwH3xxRf//ve//f3Pf/7z
i1/84sEHH3z44YcfeuihU6fuuAnfcRMC32efffbBBx+8//77H3744VdfffXLX/7y8ccff+qp
p5588slf/epXdxqId9Zsvv76608//RR2b08Njtjw/vvv/+1vf/vPf/7z888/f/rppx977LEH
HnjgnnvuOenJ3mh3EILY7fr163/729/emto//vGPf/3rXzC97777MKOf/POTTz45e/bs7373
u0ceeeSk53uj3SkIgu/atWuAu3Tp0uXLl//+97/juG+++SY9mFxjQx++/fZbko4Z7xAQTxhB
WICJ0cBluO8vf/kLBK9evYrdyGkm+Pvvv/cM6SbR33333Q8//ABWiBNtapGMg/gESThhBL/8
8kviiePABzi675133vnoo48yFxDModmZGgQ96Rvweeb5559/9tlnMy8nSMKJIZjNZTQA9+ab
b165cuW9997Devgx4Po7D9txJRDfffdduHsyoaYoMy8nxYkngyBhBAGGymgEH7YCxz1TW8Fu
NF/Sjx7z94upfTY1/HjmzBlu489Py8kgCCzAvfbaa2+88QaeivWYiBU+2jcmgS/NSC3ShhD0
7scff0yuPfzMM8/8/N7ituMh45uppeNv91hmAZGeIYOUHYvxyiuvwJGDArswWjPV5uHMC+4b
smwCcDx9+vRYhtsxcvPxGD+JIfL36HTfbFshCD7cxBRwRDAFGsZPK0YgB9g3KMc4fL3kl4/S
r/4Cd30E6x/0weeDhaEKIHjvvff2WAs273N8xqqcod/85jdPPPGEgIeLvjEImyMIL7M3aUCw
pKTJN1mAQeRiKYCDZggi1Ys9L9TFC4MB10/3jlfCKLXgL1UIwRasn0af47O/EIQ1U46RdQVK
seNmOGyIIO6jfcDHkoKvAHYxSUd2YGiuOZS+D+UCNYs/D87WzMTsRbnhYj0TGyPuLtvKi2kA
f5PlJIA1N6sNoNgQQYJDEtkB9hRDPfroo8SBXFhJy2tyKzpxX1DmX85xOSqCt+t5halTF8k+
TUIULCd3yje+Tyce2vPethWCBIcwgu+5554TruZPWFXwAXGznn+6NuTD5Jkv1qzgB6DJBFne
oNsNETQqI2gB+WWiAgrl/PnzELyTU6HzxnmCJhLgiAQinBbaoG2IIBYzZM4tQ1b6826BTyMr
dI6/WAEJaJk7Ekdqm9tiIFLb6bvhu9wtLePTtFGRfdusq80RHJ7EsH13UZtP+4epnQCCi1tN
3l3Hg8M33Fm2zbraEEEuS57wyKDcjQgGH0JOTW2zrjZ8Lc/grlN/ow2+u2fWNutqc2+GAp7H
HndjGwE7q4iizTrZBEGWix/DAwDiyMX/FG3ENsnasQ9Uh+0Z5JltEJYcGUFUceg/+OADf0Ep
jBsgHhdLGkLPmMJfn3Wbqrp32bYfZeSNTF6MLMa/du3a9evXRSZHBfEICJZW+eijj9577703
33xTVGfROKXHghoyvlq2r6cWgun7UgCwE71y4B+cmg+t38aDNnNjffjhh1euXBGemsbjjz/O
2R4pskPbugiCD3ZQEwa9/fbbb7zxBhxLym+PILDqHGsjZqiIxSzLQJyNBbKR1yuSRfYGI87z
QFDDgJcvXzYEZhTjP/PMM+vnu9ZC0Hgi8IDDfe+++66IWFCJ4beHDwFQszBvvfVWdQoQLEmF
EQgv4Pwz24UTRZCwe/rpp1944YX2joG4wTQGiLqlkUwDQyDKWlo/aFqkddLXhyBYUt4Abea+
/vrrV69epS8+/fRTs1+f1fdtpi7Cx3o6J0QWBgFffPFFuaYHphYNxNk0EFZiyitQNofPPvvM
91jm9OnTntxsOdGY3jBK5U4+tHthqaiLg13FQxCsWACDxH1Ijch00wbTnc/bdHV46dIlC4Op
0UBwnnzySRJEGeGsEs6Frn71/CdTI2vY9uOpVd9F9B577LENdjzmAYmu2s5vy8UiVWFy8Fbq
/gjqqH0cq407YPfXv/6V4jNjXAC7bQLJxRI+HeLrP//5z3A03K9//evnpzbKi4p8MsSVxGF/
y2kyVTq0AZ8/DGu4bzylxRQm6LbthxDU8Pizzz5rbrcrd9ofQZMzVxRemZpJ4xHwjTTvYruq
SOusfwuD+ywSQMnLiy++ePHiRdNlKypMQIDhKD6AYklk4LLyo0hFUpjCNwvjmY0Vy2BGNrO0
qyH0T1cg3LpWHLGXGfdB0LzhhTySa7VJcTUri9vn5Y/aoIN9DGGRYMQmnDt37vz587iP5Mae
HoCUEc+cOUNIn3rqKfD5KezAjVRzoz39hTIKPQnlLY1bXAIE64pqWovGgEB7Unv7v4kg1vWQ
N00IcKx72+EmPVzlkc/YeH5tAJiWnsFkRIrm5Zdfxn1snxU2V8aKdBPtEKQWPe+xmI6tRCGs
cQR62uTkjuBlKGPGbVzUOWnVRBiONisFq5mGca3l2BE8NQjzXJLLpeBYICOTN8R23nb2tDWn
OGosrRPi8Q4BwX1mZhRfGtf6wTdzr2cyReqBaNJZzES+TYXKRSqeM+GHHnoox3szBFcIXEzO
ltkWOIOIbaFnDE3nNsoNBNPTCMjmAtGEcpgXt6agtzcgxFP/+Is7iWvMCSJ+ghq7bPGAZcb4
q50DNMDar4UruMzU4Qgpz4CelGWgkeqbeGRLBBdLlZV5sTaFzxlSMx8FY6fG0xm+hN+ETPrY
q6GKqd+ZmtlQ/NYz0YOaxXv11VetnJm0exWXYUYSDXRIWQCuHxxLarAeZN9j7eJ7F6Ab73is
tKG7DFTUBLXEYojwIgR71GzMux04bOKFxe05brOUKrITYerCUpkQ7iPISQqjb6k9BpTf//73
bEvbj2kS0AOoUO/UsuEFgFoJn4GbxVt/o/UAKuaZ456J76y3RTLocLN//I8lzavyg5+pmDYD
8/5MaBQd7DuD9dHUGyASutNTQ3whY5EiKK0i+P70pz/hQQ8sJk2Exfya5Xl4aqxKMd99UzO3
ooiDC6DWb/Mktv6xl/lARvwDR0OjpWqbHxFETxtvZuAdLPCHP/zBc9YctZgRF+zOCmI2zmIV
V1gYiKTmLKxBMX4+U77L2alR1Y1iopgRDWVlHp1awdbcjm2zYXQ75jCiVSyRgbc4ALCjLsBF
xfGxbiBYybwfqr+ilfzmnSrrNYvv18XMQu076sGtcosvp5Y+Tt/7J0yrB4QL4CqQXvE9kxKI
g8+vnc6pAqYimKrZgnUDEFemajHgADtQcFcJryX05bWp+QzZmwgWpdN9GAEZCPAbacImHjVX
fVUfkxrauH27bKWq0Izyol2GBfHQEX7MtcxiclSL/L0FQbNCWAb306k1Mfzi9YrBtoRvWIVc
/cIkEwACZWI+Jhl8NxAsDMSJTGQ+pC/Nz3MmZK5JjV8JdZZuA0uyO5W+lfaARa6/D4YuHQI1
Cq5SgvmLRVc9AyazIh/lEZo2FtYz3GmAef3g+hObRwomhmQCe35qefIEhZXj5wExnWshbyJo
0XanurQyMcHkm0phrEAVWWbmyfzEku8rbZ3pzvVAwmI281T+SsrWTAAEphzs08tWgDwUqLcw
JllD2GYItsDetTaVAV24cCHa9c+Xeu2110TxPuMnYjpev4FggYfpemIoHeQVAFgTzJwWx4kd
L0qhthm0JnwlWsY2aW8FXAtb5DTcET0TCCOWVUtRmgOq8v+535gCg3TwLkO5/s5vS1igqU/Y
4Zhyt4TUkpiVcUdu1Fjpx7m5v3FsozZIophEV2WQsipmllWiHURdvN8cnSOV7hZvabnuadUi
WT+1BWhEiPQKmMpxcBVRAhpPet7EEGMOCMsDRzwEzZMeWFMPtoQhqAfMy1nBeqVhjFKkyM0C
hb9Ec3d5RmMuSTeXK9XeZ9C0X0GCTP3c1CyO9YcjvdDwxVhr7kPmWHXOVc+GSBtQtVkPI6ZG
rHlWtXNiWmV2XkxKyJSJVf+Jfq/TVmSFDl2fAXeW1QrtWAHu5Zdf5oqCz5d43yhXp0YDWsuR
GB1idBPBEC1PmU4sTYYdCkWt+WKKBM5MrS6MWqBT1eU6ky6LB6x8l4rICSDewUHtoJqxx6Bp
uDyEEhyZO8/gO4B6kjLxJbHAOwSlKv7hBh+8qD1gnbwFOyC+9NJLFy9eNA2kBZ+B8H7nS+eQ
jdrhmwjOOx2f+4tOKi+JI1zm2pFA3I5OPEL6cixWyqf3bc0Ys4Sgv4DAQSRIt5BqN5XOJjV6
LlWuWyPm85tMjm6RknfpLPreHEpbtKF8qFdYHgBTR07eicWwJIgqP+Qv+ZvnBwYs885P7f1q
ZSQ0WIdcbgSbpRkbm9o2MOBKIK+zEZ6lM9d2izrWhACYYm1coAfimVfg4Vy8rIShO9iZ6MXL
Xiyr6C0TIw2PTe1QWe7cvHeNWKmCf47cqGZiZdVWMvt7abyZm9k309c3lrfdg1wz0wWiFUMA
CgtU19kqS+VjZPKIYNMlJuU5MBEE/doiGQiRVGSu6O50GKydOZ/7HoilnoRMZrUz5WLp6wpq
D0Ww1z2s2w6XthtOC6clUnmLPfWlK0DdslbDy10xryndvMq2UIx3YWombbpJ8cGTrp/yKAiu
yiIL63Ww6gonloazWkakKFLzWS3fp5Ez377UST6NRfWkmbMDueuHTsbK6cTDlIl+2KWOhbdO
RU09uReN2yJ4MPGDEaxPe4ylFH1PoNa5RiLlrdE+uLiNN4uRyqPaSKt+8EV7b7Vcn++WrZAm
QxTXAJF0g+P+qa1j1toj7lBZRuPy5cu4D5qmEUOsGV+vheDQoDBqz9uiVUpgEnQ5ncifYBDW
3ET2pLfyya9PrW6xEkGGYHCMOqMChmJqnOjFTqORXxCADPS5XBTLOtUaWMHr706N1sthKrGy
pjyNdrTarRIqu9PB9LQP/Wgqna7MtqxT++SZksmIJ335nnl5KTicWAZwjmCKuBoKCLZ/Zj4M
wtmzZ7kHbFQ7ogcMXY0H5mVqk9wOl7YVt0Ep09EQTCHuLg8YEgR/25kuRZxDf2g1UDFAH3Bc
rASasoeNklMyNEOSWyuOLg6jPSmEfJpDhcAyWy2QtQ9eUNjh0lHXfCRAFptVYA4PPK+7kgzw
lYstVXeoNYz+dosQjzCaoT28UrDF5vNws79YzCvEtj2WMl0lkA6GL1+vWBB2lo30mH8H7FZC
2wPaSir3aAiO19L08QXUrGGcWDGV70l0R3cPWFW/8vWKyTAC+MhvaqjNnZXnCwZyRcmsCCx/
+FD/OfGvSuLVV18dm9Gd686d2jnKAed5u+FRzzE6Up6quCX/o4xFx51IN3EG0KHMqAdY02Ul
0DzPGlTXseJXjQf0TF0UyR06z0pU24l+/fXXgch8UxpFO+NEwjok79tu7NXNExXrr0MKa/RQ
pBE/MpfYhHoCDZoPVc87U16z6qE0bGmukUcaypH46xDrYcZDZ1gOEWQVsTBWOHFsdOxsUZ69
oRSvtGZQRFyukDaskpciA0SJCSCWEz24t05Nx1ajw/lyjvTiOnPrFoausanEKfhKCOWZbcl9
N6a9WKrGLTe6wrEsaQ5wshxDFfyvf448Cjc+JTNqOxncJJf9ZehGsDGPYjfYrpjruuO5GWNn
WRVXEE2QeVhxYmzom6oC15Hobdru8vhw0R6j0eYGyW2HZ2T3NjYdK+3Y7haZr2cxU8X4+cB5
i9RiG/7HNejeZtw2aUukVwfRZt7I6x3vEh7/7SzDW9ydqijxQodDUt7VDW1zt8YBLf807quI
qQqxFN+c9Y6xHTOCK/pld3mpQRXeXVEExLJhbZhsP2ijVK1e6Ux2rK39xWSjFss7b+50BBe3
Hpkt0qyMt2tdSJlgAHBCiMKJ7UnqGq5cyMUyC3nmzBnfFHeOoymbmY6D209yx9LYL33wwQfB
VI0lSwJBVFWljMizZ8/SmNsUP1erJ1bjqVSP3aYVn7zKCHgJddKDI6jfkroN84Prt7wifIe/
KgMUhOEIgUdJEY4FspGKd6oCrlL+qMwIo5KjZVkgVZrLiG0MtIfjc3WuHXYYmbrj4sRjRrDA
BhwFXufOnQOf+KH7pWDHSqIZMSBOVWnd3HZo/DdvtF4dMhfZ3MqELVLnQLChtXl8alYIk3aa
Y3Hct0IcD4IjdzIC2xdffLGaHUKKWeIUrhnj2DZIKcV8xuqv1tzwLXwMPthxmNuTrHapPFvX
j1q8uNuU6JNsF7alHAe/H09Msk2b2w1yipXM+4WpQcSM213pkkE0d6a2uo6y9oGIbK/QlWg+
IHTx4kju8/g6ZlWo28ZQ2ykjOsLd1RqnVXRuDu32LI4DvsX2CI6UREYD3124cIEQ+VzhA1Jh
R4i6ZDCzOG5vKkcSgtUFeIvc7Zvo9lOXfeUtj/wo1BZLZ6UjvHRifbYwle4+MrUUbm72iPC2
QWBDBHdmpUMkN/OH+wivZWclgq+MSFeb5ZrNM3G53B2q7EOnjKtBxzVDoj2Zy9JdaYW67UmW
Hx271S0ndLoks7DSN7ibLD/33HNtVICS4FMF5dDuWV7utyGCczd4HezG5wqZnnjiCetcOQPW
Q0wnB0umd2JzfrBiOGVZ7c5plNpAbaewMkHjIqyOWZWXtx6dUqsebtwzsTNLZe9OdWgVQrbB
ghmrn6qc0udqYvJ15uQfFcdDahbmbaVrM8MjGY0//vGPaMaJHZgbJ4WH5I403BirMGvsl1Yo
5W8nQ0rZGgLNPmM9vHz58mU9e6zt1pFeXqnKSEX01+g5T97CgC+99FLl0JXnWv5SIVZofnPm
4kAVuW1upjdLc1JYbZL5S3LRXCYdqdikvbQYZN+SmlJYi+Uu0riiNvj8xbwQ9GU1cBVjAKUC
0ZUsy+hz/LMko2lUhNZa+hKUzAu5GReJpjc7O3jUdjNHnRwdANwAvgJhK5nHV51sxwkr2LHs
ZjxYb1/4BsGD7NJi/mLeKMdxDBS8OkzSCcGSVPMc3+3mPDqvMKHP7TgDEQ9WtUXhAvT9qcF6
LiVHQ/CAh4Z+qWCnUnXCm8pP8XWKG83onFdNrKNWYsZWcTHFuWwlLTYKFsZZkRXWW5PIVrHY
zkqPC5ifmBqGqBDHB+vkp0RnsR6It5XilZfztqiPDG6Hv6GJWQpLcR8d3wUg8wul1qRwsGrl
H6Vzxus7s8uJNtgbGiYiZ7vDASXPMy8I6UAeQnIwS1LMR7kdLYfrwXHBW4VrFy9erNCTKiRc
BLZaz4zaWL0N2lyiVyzjzp52pJ4H8eaWja7imGhjBcxYONSmc2mObpZdGWvFhtQOD6E6B1Ow
gfsyZxWY5pqVB+42+NvVO63ZdpZ50L1JlBVTftQ2Z+c8+fztUd5bDWObWZgDJ5ad7dcDej4I
wfAuxQI4RqPjBrRJKRaS2wZYhwfnXLNx6D6X6H1/3azb+bt9KFpPyfrMNFevQsK4ZdyMrpYo
ajoAxJsIhtc4h6jrSk6xXi6LD1W4w45vUYn2OEe94o5uQ+r2r6/ZYQe/K1khtriEkOEYcl0m
ouqnHNX5oq6ehljMDscMXxSv0bL6Kq7sfgHDdH1FQVVHQI9kNO6ENveZ21bMcLWtiN6uayHO
VTaRs24ooj13ptB7vpF9w6Gd68jyxrATaVy4cIHW6/qDrh/u+vNunfkp7mP7mVvimWYc9awj
psRD3F4q8tKlS34lc9X4zn3nG/5gfbWnARSOHnUAwXzOzv++8sor7Ab9GuI/6bbvz9x2lrdv
wZFarygJ+binixsWE8q5WV2EcwsPjrNF7fuw6zRCh+qqMa1Otp3/vUdSFsexb31SbYUKckpN
7S5vF/Wh25dwZdXB0Eg/3nKepIRPBxqpPO9Ujdr9EHrsmgMvj5BgMbuG4O6Fb28LODLnQ9Ek
cSTLDAsjg8kqrWIVRgbzRwS7oKWjAf3TzzRCpxXa2dDXYrnxOtp/AXZ7SdiZ6vk6lN7/eLD4
lWhiLxB1QHJUXvyICJXpW6w3qnqpg1gv+KzGXGyPy2W5o9qcqDjx82Xr+AIQmZROGxDZsRVx
A8GMQ1cBCnpKZxaoLZYZt8VUtvPfhNq8zfnjh+XlrwgvzZH7Qv09NTU8eIseHFUsjE7XRbSv
2v0Ai+Xdyf9Nxndv28sZneRbLE9AB2IndOf/s8Gbeq1jgN1lUE1u+YmRDjl2BNfP3JzIKFXQ
jgPILG3AgaX6qR67edYAu1ZKjiVzIxezUP+nEN6fE8GVTvY1IItbZXm0VFwnkedbAqv3bpXF
7K4BHlBFyyNHvw0NB9N2aDspBBfL1Oz3yxY/Qqn/KUxP3kAQXp3K2Gau/z/b/wHW/1EAH3k7
AQAAAABJRU5ErkJggg==
iVBORw0KGgoAAAANSUhEUgAAAFYAAABWCAIAAADaNPagAAAayUlEQVR4nOVc+X8bN3YfAHPz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iVBORw0KGgoAAAANSUhEUgAAAGsAAABpCAIAAACyFUpQAAAhW0lEQVR4nO19d4xc13nvKbdM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Vol.7 No.2 (2023): Journal Scientific
Investigar ISSN: 2588–0659
https://doi.org/10.56048/MQR20225.7.2.2023.
915-926
Vol.7-N° 2, 2023, pp. 915-926
Journal Scientific
MQRInvestigar 916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/9j/7gAOQWRvYmUAZAAAAAAB/9sAQwAGBAUGBQQGBgUGBwcGCAoQCgoJCQoUDg8MEBcUGBgX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Con el dimorfismo sexual se ha evidenciado, variaciones en la fisionomía entre hombres y
mujeres, una constante es mayor la longitud de la base de cráneo en hombres. Este estudio
determinó la correlación entre la base craneal anterior con la posición mandibular y el
dimorfismo sexual, en una muestra de 276 radiografías laterales de cráneo digitales, 138
mujeres e igual número en hombres de 18 a 50 años de edad. La media de la longitud craneal
anterior en el hombre fue 71,16 mm, ± 4,5 mientras que en el grupo de las mujeres fue 69,62
mm. La media de la longitud craneal anterior en individuos retrognatas fue de 70,6 mm, en
los ortognatas fue 70,1 mm y en los prognatos fue 70,8 mm. Longitud craneal anterior en
hombres fue mayor que las mujeres en este grupo de individuos. La longitud craneal anterior
no tiene relación significativa con la posición anteroposterior de la mandíbula.
Palabras claves: Base craneal anterior; Posición mandibular; Mediciones; Dimorfismo
sexual; Cefalometría.
Vol.7 No.2 (2023): Journal Scientific
Investigar ISSN: 2588–0659
https://doi.org/10.56048/MQR20225.7.2.2023.
915-926
Vol.7-N° 2, 2023, pp. 915-926
Journal Scientific
MQRInvestigar 917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/9j/7gAOQWRvYmUAZAAAAAAB/9sAQwAGBAUGBQQGBgUGBwcGCAoQCgoJCQoUDg8MEBcUGBgX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With sexual dimorphism, variations in physiognomy between men and women have been
evidenced, a constant is the greater length of the skull base in men. This study determined
the correlation between the anterior cranial base with mandibular position and sexual
dimorphism in a sample of 276 lateral digital skull radiographs, 138 women and an equal
number in men aged 18 to 50 years. The mean anterior cranial length in the male was 71.16
mm, ± 4.5 while in the female group it was 69.62 mm. The mean anterior cranial length in
retrognathic individuals was 70.6 mm, in orthognaths it was 70.1 mm and in prognaths it was
70.8 mm. Anterior cranial length in males was greater than females in this group of
individuals.
The
anterior
cranial
length
has
no
significant
relationship
with
the
anteroposterior position of the mandible.
Keywords: Anterior cranial base; Mandibular position; Measurements; Sexual dimorphism;
Cephalometry.
Vol.7 No.2 (2023): Journal Scientific
Investigar ISSN: 2588–0659
https://doi.org/10.56048/MQR20225.7.2.2023.
915-926
Vol.7-N° 2, 2023, pp. 915-926
Journal Scientific
MQRInvestigar 918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/9j/7gAOQWRvYmUAZAAAAAAB/9sAQwAGBAUGBQQGBgUGBwcGCAoQCgoJCQoUDg8MEBcUGBgX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ón
En la antigua Grecia, la simetría era un símbolo de perfección, donde la belleza se basaba en
matemáticas y la armonía. Encontramos términos como proporciones divinas que describen
estructuras como: nariz con característica afilada, mejillas, boca y mentón ovalados en las
mujeres; mientras que, en hombres nariz y mandíbula más prominente (Konstan, 1970).
El concepto actual de belleza de occidente presenta varias similitudes con el perfil griego
como: la nariz pequeña, los labios gruesos en mujeres y en hombres se prefiere mandíbulas
poderosas teniendo el objetivo de aparentar una figura firme y juventud (Konstan, 1970).
Actualmente, podemos determinar el dimorfismo sexual por medio de varios análisis,
algunos
de
ellos
dirigidos
a
determinar
condiciones
muy
específicas
como
en
las
proyecciones quirúrgicas, evaluación de los tejidos blandos o el estudio de las dimensiones
verticales. Sin embargo, todos ellos se pueden categorizar dentro de tres grandes grupos:
análisis angulares, lineales, proporcionales, en los tejidos duros y blandos (Bucchi et al.,
2016; Zamora, 2004)
Algunos de los elementos anatómicos, como la base del cráneo, que es una estructura
importante, puede tener influencia directa en el crecimiento sagital y vertical de la cara,
debido a su relación con el componente nasomaxilar y la sincondrosis esfenooccipital puede
intervenir directamente en la flexión o extensión de la base del cráneo teniendo repercusión
en el perfil (Flores et al., 2020; Cerda et al., 2019).
La estimación del sexo se basa en el dimorfismo sexual que existe entre hombres y mujeres,
el cual está marcado en la cara humana y en la mandíbula, tanto en tamaño como en
forma (Bulygina et al., 2006). El patrón de dimorfismo sexual en la mandíbula (distribución
de las mediciones sexualmente dimórficas) se reconocen con frecuencia altamente específico
en los hombres (Čutović et al., 2014). Sin embargo, ya se ha detectado cambios en el patrón
de las diferentes formas faciales que existen entre los sexos a lo largo de la ontogenia, algo
que ya se apreciaba en las mandíbulas a lo largo de la vida adulta (Bulygina et al., 2006).
Los hombres se caracterizan por un continuo cambio de forma alométrica desde la pubertad
hasta la edad adulta. Por el contrario, la forma de la mandíbula femenina sigue cambiando
incluso después de que el crecimiento haya cesado. Como consecuencia, el dimorfismo
adulto se concentra en la rama mandibular y en la región mentoniana, durante las primeras
etapas ontogenéticas y nuevamente en la edad adulta. A los 20 años en los hombres, el
proceso coronoideo se coloca más hacia atrás y hacia arriba; el gonion apunta más hacia
abajo y la sínfisis basal se orienta más hacia abajo que en las mujeres (Coquerelle et al.,
2011).
Vol.7 No.2 (2023): Journal Scientific
Investigar ISSN: 2588–0659
https://doi.org/10.56048/MQR20225.7.2.2023.
915-926
Vol.7-N° 2, 2023, pp. 915-926
Journal Scientific
MQRInvestigar 919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/9j/7gAOQWRvYmUAZAAAAAAB/9sAQwAGBAUGBQQGBgUGBwcGCAoQCgoJCQoUDg8MEBcUGBgX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 el dimorfismo sexual se ha evidenciado que existen variaciones en la fisionomía como
forma, tamaño entre los hombres y las mujeres, y una constante de ello es la inclinación de
la base del cráneo, que describe una mayor inclinación en el sexo femenino y en referencia a
la longitud de la base del cráneo manifiesta una mayor longitud en el sexo masculino (Larico,
2018)
Actualmente, una
de
las principales pruebas diagnósticas
auxiliares
es la
radiografía
cefalométrica del perfil del cráneo, que es una representación de la estructura 2D que nos
arroja datos importantes para evaluar el crecimiento en niños y el complejo craneofacial y el
éxito del tratamiento en ortodoncia depende de un correcto diagnóstico e interpretación de
medidas precisas (Flores y Soldevilla, 2017).
El objetivo de este estudio fue relacionar la base craneal anterior según la posición, el tamaño
mandibular y el dimorfismo sexual en radiografías laterales de cráneo, en individuos
seleccionados de la ciudad de Quito.
Material y métodos
Se realizó un estudio observacional, documental, relacional y de cohorte transversal en
radiografías
laterales
del
cráneo
en
formato
digital.
La
muestra
fue
seleccionada
por conveniencia y pertenecen al
primer periodo
del
año
2019
con un total
de
276
radiografías laterales de cráneo divididas en la misma cantidad tanto para hombres como para
mujeres (n=138 respectivamente). La base de datos fue adquirida del Centro Radiológico
Global imagen en la ciudad de Quito-Ecuador, de forma anonimizada. El equipo utilizado
para la toma de radiografías fue Kavo OP3D, siguiendo los criterios de inclusión. Se
consideraron a pacientes de ambos sexos, pacientes adultos, radiografías realizadas en el
centro radiológico Global imagen, radiografías con amplia visibilidad de cráneo, visibilidad
de las estructuras de tejidos blandos y la presencia de todas las piezas dentales a excepción
de los terceros molares. Cumpliendo con los criterios de exclusión fueron radiografías de
individuos con material de osteosíntesis, síndromes, restauraciones extensas o implantes
dentales y pacientes con retenedores de tratamiento de ortodoncia.
En el programa WebCeph fueron realizados los análisis cefalométricos y las variables a
evaluar fueron clasificadas como: esqueletales determinado por el plano Nasion-Punto A (N-
A) y el plano Nasion- Punto B (N-B) que forman el ángulo ANB para poder definir la Clase
I que va de 0 a 4˚, Clase II >4˚ y Clase III <0 ˚ (Zamora, 2004). Para determinar la longitud
de la base craneal anterior fue tomada de la cefalometría de Joseph Jarabak que va desde el
punto Silla (S) hasta el punto (N) con un valor normal que va desde 68 mm hasta 74 mm,
teniendo en cuenta que valores menor de 68 mm se denominó base craneal anterior corta y
mayores a 74 mm base craneal larga; mientras que la longitud del cuerpo mandibular, va
desde el punto Gonión (Go) hasta el punto Mentón (Me) presentando un valor normal de 66
Vol.7 No.2 (2023): Journal Scientific
Investigar ISSN: 2588–0659
https://doi.org/10.56048/MQR20225.7.2.2023.
915-926
Vol.7-N° 2, 2023, pp. 915-926
Journal Scientific
MQRInvestigar 920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/9j/7gAOQWRvYmUAZAAAAAAB/9sAQwAGBAUGBQQGBgUGBwcGCAoQCgoJCQoUDg8MEBcUGBgX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 hasta 76 mm, teniendo en cuenta que valores menores tienen una mandíbula corta y
mayores a la norma mandibular larga (Figura 1).
Figura 1.
Análisis cefalométrico en WebCeph, trazado digital de la longitud craneal anterior, longitud
y posición mandibular correspondiente al grupo de hombres.
Fuente: Elaboración propia
Esta investigación no presentó ningún tipo de conflicto de interés, gracias a que se realizó
sobre información anonimizada, con su debida aprobación por el comité de bioética de la
Universidad de Católica de Cuenca, y la confidencialidad de los datos.
Análisis estadístico
Después de 30 días de haber realizado las primeras mediciones se confirmó la fiabilidad de
las
mediciones; por consiguiente, se
eligieron
de
forma
aleatoria el
10% (n=28)
de
radiografías laterales de cráneo, que fueron distribuidas equitativamente entre la longitud de
la base craneal anterior y la posición anteroposterior de la mandíbula. El investigador realizó
las mediciones, donde el coeficiente de correlación intraclase (ICC) se utilizó para deducir la
reproducibilidad de los valores.
En el análisis de los datos se utilizó estadística descriptiva, donde se calculó el porcentaje del
sexo, la frecuencia absoluta y la posición anterior de la mandíbula. Con la finalidad de
determinar la normalidad de los datos, (longitud de la base craneal anterior y la posición
anteroposterior de la mandíbula) se utilizó la prueba de Kolmogorov Smirnov. Para la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==
relación de la posición anterior de la mandíbula y la longitud de la base craneal anterior se
Vol.7 No.2 (2023): Journal Scientific
Investigar ISSN: 2588–0659
https://doi.org/10.56048/MQR20225.7.2.2023.
915-926
Vol.7-N° 2, 2023, pp. 915-926
Journal Scientific
MQRInvestigar 921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/9j/7gAOQWRvYmUAZAAAAAAB/9sAQwAGBAUGBQQGBgUGBwcGCAoQCgoJCQoUDg8MEBcUGBgX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ó la prueba de Kruskal-Wallis, mientras que el sexo con la longitud de la base craneal
anterior se utilizó la prueba de U de Mann-Whitney. La decisión fue significativa con una
consideración del 5%(p<0,05). Se utilizó el software SPSS (Statistical Package for the Social
Sciences) la versión 25.0, para el procesamiento de la información, y se utilizó Microsoft
Excel, 2013 para la edición de las tablas.
Resultados
El presente estudio evaluó 276 radiografías laterales de cráneo de individuos mayores de
18- 50 años, fueron 138 para el sexo femenino y 138 para el sexo masculino (tabla 1).
La media de la longitud craneal anterior en los hombres fue 72,16 mm, y la DE 4,54; mientras
que en las mujeres fue 69,62 mm y la DE 1,25 se mostró diferencias estadísticamente
significativas (p=0,000) entre hombres y mujeres (tabla 1).
Tabla 1.
Relación del sexo de acuerdo a la longitud de la base craneal anterior
Sexo
n
Media
DE
Mediana
p
Hombre
138
72,16
4,54
71,68
0,000*
Mujer
138
69,62
1,25
69,35
U de Mann-Whitney * p˂ 0,05
Fuente: Elaboración propia
Se evaluó la longitud craneal anterior y la posición de la mandíbula, la media de la longitud
craneal anterior en los individuos con mandíbula retrognática fue de 70,60 mm con una DE
de 1,69 mm. Los individuos ortognáticos presentaron una media de 71,12 mm, una DE de
5,39 mm y finalmente los individuos prognáticos con una media 70,88 mm, una DE 1,62 mm
(Tabla 2).
Vol.7 No.2 (2023): Journal Scientific
Investigar ISSN: 2588–0659
https://doi.org/10.56048/MQR20225.7.2.2023.
915-926
Vol.7-N° 2, 2023, pp. 915-926
Journal Scientific
MQRInvestigar 922
/9j/7gAOQWRvYmUAZAAAAAAB/9sAQwAGBAUGBQQGBgUGBwcGCAoQCgoJCQoUDg8MEBcUGBgX
FBYWGh0lHxobIxwWFiAsICMmJykqKRkfLTAtKDAlKCko/9sAQwEHBwcKCAoTCgoTKBoWGigo
KCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgo/8AAEQgA
VwBYAwERAAIRAQMRAf/EAB8AAAEFAQEBAQEBAAAAAAAAAAABAgMEBQYHCAkKC//EALUQAAIB
AwMCBAMFBQQEAAABfQECAwAEEQUSITFBBhNRYQcicRQygZGhCCNCscEVUtHwJDNicoIJChYX
GBkaJSYnKCkqNDU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6g4SFhoeI
iYqSk5SVlpeYmZqio6Slpqeoqaqys7S1tre4ubrCw8TFxsfIycrS09TV1tfY2drh4uPk5ebn
6Onq8fLz9PX29/j5+v/EAB8BAAMBAQEBAQEBAQEAAAAAAAABAgMEBQYHCAkKC//EALURAAIB
AgQEAwQHBQQEAAECdwABAgMRBAUhMQYSQVEHYXETIjKBCBRCkaGxwQkjM1LwFWJy0QoWJDTh
JfEXGBkaJicoKSo1Njc4OTpDREVGR0hJSlNUVVZXWFlaY2RlZmdoaWpzdHV2d3h5eoKDhIWG
h4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uLj5OXm
5+jp6vLz9PX29/j5+v/aAAwDAQACEQMRAD8A779oD4rat8O7vT4tLs0nS4Us7OuQOtAGZ8Fv
j1H4u1FtN19I7e+lYC3WMfeoA9+oA8/+L3xIsfAGjNJMynUJUJt426MaAPF/h7+0R4h8SeLt
O0ufTYfIuZAjtGuSo9aAPqigAoAKACgAoAKAPNP2gtPtbn4aatPLZrPcRx/u225ZT7UAfCfh
PWbvwn4jstXigPnWzb0WQEZNAH6L+BtdPiDwnp2qzmNZLiISOqn7p9KAPi39pDxveeLPGMmm
ywr5emyGOJk53D/JoA9F/Yz0uCV9ZlvbHM8RUxySJ06dM0AfVvOfalqAUwCgApNsApgFAGH4
2a6Tw3dmwtorq4C/LFJ91vrQB8f/ABk8NeK9bsF1S80WysreyUlltyMt+AoAqfDH4jRaJ8Of
EemalqUyX8q7bNS3KcdqAOW+F/h7xFr+vf2xptsl49q4eT7SeJPz60AfZHwjm1h0vTrek2em
4xt8jHzfWgDF+I3xmtPD+piw0ny7meMkTZ6LXLWxChoj3ctyaWKXNPRHNaR8f5G1GBdTt4kt
WbDsvUCsoYy71PQxXDipwbg7s960bVLTWNPhvbCVZIJV3KQa7k01dHytSnKnJxluXaZAUAFA
HN/EX7N/wiN/9tupLSDb800f3l+lAHhXgG18K3fii0hHiXUdR3ZH2abOx/rQB5l8YvDnhO0+
J6W9i1xHZyy/6WI0OIvpQB7H400XwfpPhfQ1tdTutJt2T5ZLcEGXjvigCx4LmsbfwP4gk8P6
1e6lKqE7ps5U47VnVdoto68DGM68YyPF/COknxB4vS1vUlxcP88jA5+teSoupKzP0OrWhg6D
lDodj8Zfh7Z+DbW2Nh5k/ndeM4rSth1S2OPLM4ePuqitY7j9l+5upbS+hmM3kRgCNXzhenSu
nCSbTueFxDShGScT3qu0+aCgAoAwvHH2j/hGbz7HaR3k+35YZPut9aAPI/Ao8Rf8JNa/bfCW
nWUGTumjA3LQBF4vfxQviG+Wz8G2N1AX+SV1G6QetAG944Guf8I/o32Tw1Z3c+395DKBiLjo
KAJ/h8dZXQ9VN/4fs7CXHyRxYxJx3pS2NKWk0UfC02uv4giW68P2VvBu5kTGRWEVrsepWmuT
42zqfig2oxwQf2bpsF8e4lxxV1Ec2DlZ72PN9W8X+NPCWjSahYeHbVbZBun8sAgCimrDxklL
rc4Jf2qNa/i0uD8MVozzzU8PftQ3FzrNpDqunpBZO+JZAR8oqOR9xn1BomrWWt6bBfabMs1v
Mu5WB7VoI5P433txYfDXWLixuPs9ykeUcHBH0oA+Ofhh8S9YsfG+mXGva5dPpqSZmV3yCKAP
s680r/hLNQ0TxBpmrTQ2cI3rGnSUZzzQB8/ftS/El/7WsbHwxq00E9qStysRxzzQBofsy69q
OueHfEf9v6vK8SD5XdvmXjtSlsaUr86sdR4HXST4nhFt4jvbmUNkRPnBrnha+56tfm9nrE7L
xm2n+L1uIbLWZbSTTsmfyzitJ2aOTCuVOVrXucgxtIfhT4lj03VptTPlNuD8kcUqTT2ZePjN
Nc0bHg3wF+FNr8RW1IajcTWotcEEAjOcf41secb/AMX/ANn6fwrpMeo+H5ZL23jBa4LfwD1o
A6z9i/U726k1i1ubmSS3hjURRseE6dKAOm/ad8K+L/E02nw+GFlks9hE8anAJ560AfPf/CjP
Hf8A0CG/P/61AH278MdMudH8C6RYXybLiCEK6+hoA+R/iT8G/GeqeONXvrHTDLbTzF0bOMig
BfAfw0+I3hrWYZ0sHS03ZmiLfK49CMVMtjWjZT1Pe/CI1b/hIozceGbS1i6GVAMiso3vsd1b
k5NJXOUs7jUPBHxZvLTULRJdO1yTAJ54NQ5OMrPqdKpQrUOeDs4nYaF4XvfD0/iWe1sopIZg
TBAT8rexrSnDlbOXGYlVqcV1R5x4o8ReOdM8K6kLHw7aaVFJH+9mhIBA/CtjzTK8T/G21t/h
JY6Lp8xvdSuYPKu2kbJXPU0AWv2JlP23XmPA2L179KAPrGgAoAKACgDE8aR383hm+j0lit60
ZEZHXNRO/LobUHFVE57HzF8PvEviC2+JUOmazqNwMSFWjkPFclOcua0j6PFYejKhz00X9V1C
fUPjpbxanOTBDN+5DH5fwrNzbq2OyGHhHL7panqpttVt18Sya3fPBpjpmKZGzsHtXfG9z5Gq
48qS3PA/GX9hr4avTa+N727n2fLbuT+89qswOcufhPbwad4SuWvcHWnCupOPLzQB9lfD7wVp
fgrRILHTIk3qu15sfM/1oA6mgAoAKACgAoA4Hxt8NNN8R38N/Awsr2MkmWMct9ayqUlLU78L
j5UFZ6o534h/CWPVdFtp9NmZNXs1yso4MhFZzo+7pudWFzNqpap8LPOvhx4t1/T/ABL/AMIx
4nhkvrS5fyZBIM7azoSknaR3ZpRoVKaqUjL+Jui2sfxe8PafJoMFnpfnhUZP+Woz3rtPmDY/
bCVNH07w4umD7MYnPliPjbjPSgD2b4IXlzf/AAz0a4vpWmuHjyzt1NAHd0AFABQAUAFABQAU
AYWsWehaYs2s6hbQRmH53nK8j3pcq3NPazty30Pl3xhqmlax8YvD1/outtqUUtyG8ktkRc9K
Zmes/tM+BYvFXhFtSknMcmlxmRV/vf5zQBc/Zv8AE2l6t4AsdNspw93Zx4mT+7QB61QAUAFA
BQAUAFABQBi+MtBj8TeGr7SJnMcd0hQsO1AHivhP9myw8P8AiGx1RdWkla1kEgQjqaAPbfFu
ip4i8O3ulSuY0uYyhYdqAOG+Dnwmt/hrNfyW189z9qABDDpj/wDVQB//2Q==
/9j/7gAOQWRvYmUAZAAAAAAB/9sAQwAGBAUGBQQGBgUGBwcGCAoQCgoJCQoUDg8MEBcUGBgX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 2.
Relación de la posición anteroposterior de la mandíbula y la longitud craneal anterior
Kruskal-Wallis *p<0,05
Fuente: Elaboración propia
En la figura 2 se observa un gráfico de cajas y bigotes donde hay una relación del sexo con
la longitud de la base craneal anterior, se muestra que la mediana en las mujeres tiene una
longitud de 69,35 mm y en los hombres es de 71,68mm con algunos valores atípicos tanto
para hombres para como para mujeres.
Figura 2.
Relación de la base craneal anterior y el dimorfismo sexual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Fuente: Elaboración propia
Longitud craneal anterior
Posición
anteroposterior
mandíbula
n
%
Media
DE
Mediana
p
Retrognático
85
30,8
70,60
1,69
70,45
0,475
Ortognático
104
37,7
71,12
5,39
70,80
Prognático
87
31,5
70,88
1,62
70,83
Vol.7 No.2 (2023): Journal Scientific
Investigar ISSN: 2588–0659
https://doi.org/10.56048/MQR20225.7.2.2023.
915-926
Vol.7-N° 2, 2023, pp. 915-926
Journal Scientific
MQRInvestigar 923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/9j/7gAOQWRvYmUAZAAAAAAB/9sAQwAGBAUGBQQGBgUGBwcGCAoQCgoJCQoUDg8MEBcUGBgX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ón
En el estudio se evaluó 276 radiografías laterales de cráneo en individuos mayores de 18 a
50 años, (n=138 hombres y mujeres), la media de la longitud craneal anterior en los hombres
fue de 72,16 mm y ± 4,54 mm, mientras que en las mujeres fue de 69,62 mm ± 1,25 mm.
Los resultados coinciden con estudios de la población venezolana, el promedio de la longitud
de la base craneal anterior fue de 70,02 mm ±1,37 para el sexo masculino y de 67,84 mm ±
1,96 para el sexo femenino (Quijada et al, 2009).
Un estudio en la población mexicana, reportó el promedio de la longitud de la base craneal
anterior para el sexo masculino y femenino fue 71 mm ± 3 (Zamora et al, 2011). Sin embargo,
en
una
población
colombiana
de
204
pacientes,
127 mujeres y 77 hombres,
se
obtuvo un promedio de 71 mm ±5 en mujeres y de 76,36 ± 5 en hombres (Méndez et al.,
2015).
Se registró en una población tacneña (peruana) el promedio de la longitud de la base craneal
anterior de 69,9 mm ± 5,84 para el sexo masculino y 68,3 mm ± 4,88 para el sexo
femenino (Tenorio et al., 2014).
Los estudios mostraron una base anterior de mayor longitud para el sexo masculino, los
autores afirman que el hombre presenta medidas antropométricas mayores en sentido
anteroposterior mayor a partir de los 4 años a diferencias de las mujeres. (Botero et al., 1999;
Zamora et al, 2011; Quijada et al, 2009; Tenorio et al., 2014)
En lo referente a la longitud craneal anterior y la posición de la mandíbula, la media de la
longitud craneal anterior en los individuos con mandíbula retrognática fue de 70,60 mm ±
1,69 mm, mientras que los individuos ortognáticos presentó una media de 71,12 mm, ± 5,39
mm y finalmente los individuos prognáticos con una media 70,88 mm, ± 1,62 mm. Los
resultados obtenidos revelaron que la longitud craneal anterior no tiene relación significativa
con la posición anteroposterior de la mandíbula.
Chin et al., (2014) en una población china, encontraron una longitud craneal anterior con una
media de 70,10 mm ± 4,4 para los individuos con mandíbula ortognática, mientra que
individuos retrognáticos un valor de 70,4 mm ± 2,8 y para los individuos prognáticos un valor
de 68,70 mm ±3,3, estos valores son similares a este estudio.
Polat y Kaya (2007) realizó un estudio relacionando la base craneal anterior de acuerdo a la
Clase esqueletal y reportaron que no existe diferencia significativa entre los grupos.
encontraron en los individuos Clase I un valor de 65,52 mm ± 3,37, para la Clase II 67,80 mm
± 3,03 y para la Clase III una media de 67,92 mm ± 5,4; sin embargo, en estudio no
Vol.7 No.2 (2023): Journal Scientific
Investigar ISSN: 2588–0659
https://doi.org/10.56048/MQR20225.7.2.2023.
915-926
Vol.7-N° 2, 2023, pp. 915-926
Journal Scientific
MQRInvestigar 924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/9j/7gAOQWRvYmUAZAAAAAAB/9sAQwAGBAUGBQQGBgUGBwcGCAoQCgoJCQoUDg8MEBcUGBgX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ó la base craneal con la clase esqueletal, se puede determinar que la longitud de la
base craneal no presenta diferencia significativa en el plano anteroposterior.
En cuanto a las limitaciones del estudio se puede establecer que no se pudo estimar un
muestreo probabilístico y se recomienda una mayor cantidad de participantes para futuros
estudios.
Conclusiones
Se concluye que la longitud craneal anterior en hombres es mayor que la longitud craneal
anterior de las mujeres de esta población.
La longitud craneal anterior no tiene relación
significativa con la posición anteroposterior de la mandíbula.
Referencias bibliográficas
Botero, L., Ruiz, M., Salazar, M., Santa, D., Vélez, P., Villegas, N., y Jiménez, I. (2009).
Estudio cefalométrico longitudinal de la variabilidad en el crecimiento craneofacial en
55 pacientes de la comunidad de Damasco Antioquia. Revista CES OdontologÍa,
12(2), 23–27. https://revistas.ces.edu.co/index.php/odontologia/article/view/811
Bucchi, A., Bucchi, C., y Fuentes, R. (2016). El dimorfismo sexual en distintas relaciones
cráneo-mandibulares.
International
Journal
of
Morphology,
34(1),
365–370.
https://doi.org/10.4067/S0717-95022016000100052
Bulygina, E., Mitteroecker, P., y Aiello, L. (2006). Ontogeny of facial dimorphism and
patterns of individual development within one human population. American Journal of
Physical Anthropology, 131(3), 432–443. https://doi.org/10.1002/ajpa.20317
Cerda, B., Schulz, R., López, J., y Romo, F. (2019). Parámetros cefalométricos para
determinar
biotipo
facial
en
adultos
chilenos.
Revista
clínica
de
periodoncia,
implantología
y
rehabilitación
oral,
12(1),
8–11.
https://doi.org/10.4067/S0719-
01072019000100008
Chin, A., Perry, S., Liao, C., y Yang, Y. (2014). The relationship between the cranial base
and
jaw
base
in
a
Chinese
population.
Head
and
Face
Medicine,
16(10).
https://doi.org/10.1186/1746-160X-10-31
Coquerelle, M., Bookstein, L., Braga, J., Halazonetis, J., Weber, G., y Mitteroecker, P.
(2011). Sexual dimorphism of the human mandible and its association with dental
development.
American
Journal
of
Physical
Anthropology,
145(2),
192–202.
https://doi.org/10.1002/ajpa.21485
Čutović, T., Jović, N., Stojanović, L., Radojičić, J., Mladenović, I., Matijević, S., y
Vol.7 No.2 (2023): Journal Scientific
Investigar ISSN: 2588–0659
https://doi.org/10.56048/MQR20225.7.2.2023.
915-926
Vol.7-N° 2, 2023, pp. 915-926
Journal Scientific
MQRInvestigar 925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/9j/7gAOQWRvYmUAZAAAAAAB/9sAQwAGBAUGBQQGBgUGBwcGCAoQCgoJCQoUDg8MEBcUGBgX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, R. (2014). A cephalometric analysis of the cranial base and frontal part of
the face in patients mandibular prognatihism. Vojnosanitetski Pregled, 71(6), 534–541.
https://doi.org/10.2298/VSP121212011C
Flores, A., Arriola, L., Rodríguez, Y., y Ruíz, G. (2020). Skeletal open bite cranial base
characteristics
in
young
Latin-American
individuals
with
class
I
,
II
and
III
malocclusions : An observational study. International Orthodontics, 18(2), 237–245.
https://doi.org/10.1016/j.ortho.2020.01.002
Flores, A., y Soldevilla, L. (2017). Evaluación cefalométrica de la longitud y deflexión de la
base craneal anterior en pacientes con diferente patrón esquelético. Odontología
Sanmarquina,
20(2),
47–52.
https://revistasinvestigacion.unmsm.edu.pe/index.php/odont/article/view/13932
Konstan, D. (2012). El concepto de belleza en el mundo antiguo y su recepción en Occidente.
Nova Tellus, 30(1), 133-147. https://doi.org/10.19130/iifl.nt.2012.30.1.407
Larico, A. (2018). Estimación de la inclinación y longitud de la base de cráneo anterior en
pacientes de 19 a 25 años atendidos en consulta privada-Puno.[Universidad Alas
Peruanas]. https://repositorio.uap.edu.pe/handle/20.500.12990/9589
Méndez, O., Echeverría, J., Ceballos, D., y Múnera, L. (2015). Estudio comparativo de
medidas cefalométricas entre pacientes con maloclusión clase I de la Universidad de
Antioquia, Colombia, y pacientes reportados en el estudio de la Universidad de
Michigan
en
1974.
Revista
Nacional
de
Odontología,
11(21).
https://doi.org/10.16925/od.v11i21.945
Polat, Ö., y Kaya, B. (2007). Changes in cranial base morphology in different malocclusions.
Orthodontics & Craniofacial Research, 10(4), 216–221. https://doi.org/10.1111/j.1601-
6343.2007.00403.x
Quijada, V., Lovera, E., Márquez, A., Ugas J., Maza P., Quirós, O., Jurisic, A., Alcedo, C.,
Fuenmayor, D., y Ortiz, M. (2009). Influencia de la inclinación de la base anterior del
cráneo, en el diagnóstico de las maloclusiones de carácter esqueletal en pacientes del
Diplomado
de
Ortodoncia
Interceptiva.
Universidad
Gran
Mariscal
de
Ayacuho,
periodo
julio
2007-enero
2008.
Revista
Latinoamericana
de
Ortodoncia
y
Odontopediatria. https://www.ortodoncia.ws/publicaciones/2009/art-28/
Tenorio, Y., Pacheco, J., y Martinez, N. (2014). Relaciones de la base craneal anterior en su
longitud
e
inclinación
Tacna
2013.
Revista
Medica
Basadrina,
8(1),
21-23.
https://revistas.unjbg.edu.pe/index.php/rmb/article/download/539/782/1424
Zamora, C. E. (2004). Compendio de Cefalometría. Colombia: Amolca.
Zamora, A., Medellín, R., Elorza , H. (2011). Relación de la deflexión craneal y longitud de
la base craneal anterior en pacientes del DEPel de la UNAM. Ortodoncia Actual,
8(29),10–18. https://www.imbiomed.com.mx/articulo.php?id=81651
Vol.7 No.2 (2023): Journal Scientific
Investigar ISSN: 2588–0659
https://doi.org/10.56048/MQR20225.7.2.2023.
915-926
Vol.7-N° 2, 2023, pp. 915-926
Journal Scientific
MQRInvestigar 926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/9j/7gAOQWRvYmUAZAAAAAAB/9sAQwAGBAUGBQQGBgUGBwcGCAoQCgoJCQoUDg8MEBcUGBgX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 de intereses:
Los autores declaran que no existe conflicto de interés.
Financiamiento:
No existió asistencia financiera de partes externas al presente artículo.
Agradecimiento:
Un agradecimiento a la Dra. Miriam Verónica, Lima Illescas PhD, especialista en
Ortodoncia, sede Azogues de la Universidad Católica de Cuenca por promover el desarrollo
del presente trabajo y de la formación de los futuros especialistas.
Nota:
El artículo no es producto de una publicación anterior, tesis, proyecto.