Am. Kielbassa et al., Correlation of transversal microradiography and microhardness on in situ-induced demineralization in irradiated and nonirradiated human dental enamel, ARCH ORAL B, 44(3), 1999, pp. 243-251
The objective was to evaluate whether a correlation exists between microhar
dness (MH) and transversal microradiographical (TMR) data for in situ-induc
ed caries lesions in irradiated and nonirradiated human enamel. Enamel spec
imens were prepared from the lingual and buccal surfaces of 20 freshly extr
acted, caries-free third molars. The surfaces were polished (4000 grit). Ei
ther the lingual or the buccal specimen of each tooth was irradiated with 6
0 Gy; the other sample was not irradiated. Two irradiated and two nonirradi
ated specimens were inserted into both buccal aspects of each of five intra
oral mandibular appliances. The appliances were worn by five persons for 6
weeks day and night. One side was brushed daily with a fluoride-free toothp
aste; on the other side, dental plaque was allowed to grow. Individual oral
hygiene was performed without any fluorides. During meals, the appliance w
as stored in 10% sucrose solution. Then the enamel specimens were cut perpe
ndicular to their oral surface. The cut surface was polished (4000 grit) an
d the Knoop hardness number (KHN) was measured across the lesions, at 25, 5
0 and 75 mu m from the oral surface. After MH testing the samples were poli
shed again, thereby reducing the surface by about 10 mu m. Subsequently, th
e slabs were ground to a thickness of 90 mu m, and studied by means of TMR.
Mineral loss was calculated with dedicated software at the locations corre
sponding to the MH testing. A total of 120 paired data was submitted to lin
ear-regression analysis. Neither MH nor TMR showed significant differences
between irradiated and nonirradiated enamel lesions. A linear relation was
found between root KHN and the mineral volume percent. In naturally induced
caries lesions, MH values can be converted to mineral volume percent using
the equation [21.19 + 3.66.root KHN]. This equation fits the data with a r
eliable correlation coefficient (r(2) = 0.915). (C) 1999 Elsevier Science L
td. All rights reserved.