ライフサイエンスコーパス: furcation involvement

1 (attachment loss), bleeding on probing, and furcation involvement.

2 sseous walls, and not primarily related to a furcation involvement.

3 the extent and severity of probing depth and furcation involvement.

4 all intraosseous periodontal lesions with no furcation involvement.

5 severe clinical attachment loss and lingual furcation involvement.

6 th OFD+ABG treatment in mandibular degree II furcation involvements.

7 Furcation involvement, a condition where the bone betwee

8 in VPD, HPD, CAL, and clinically detectable furcation involvement after the treatment of Class II fu

9 can be a useful tool to assess the degree of furcation involvement and optimize treatment decisions.

10 ooth-specific periodontal conditions such as furcation involvement and overall tooth prognosis may di

11 statistically significantly greater Class I furcation involvement and recession on facial and lingua

12 l access surgical needs when Class II or III furcation involvements and/or Grade II or III tooth mobi

13 pt loss of attachment of up to 1 mm, grade 2 furcation involvement, and degree II mobility following

14 depths, worsening of prognosis, worsening of furcation involvement, and increases in mobility when co

15 ue levels, degree of inflammation, function, furcation involvement, and patient satisfaction were con

16 nical attachment level loss of 5.6+/-2.1 mm, furcation involvement, and severe alveolar bone loss wer

17 istic regression revealed that DLRs, lingual furcation involvement, and severe CAL (>=5 mm) were sign

18 ificantly higher in PMFMs with DLRs, lingual furcation involvement, and severe CAL, suggesting a nota

19 The horizontal and vertical extent of furcation involvement, baseline probing depth, mucoperio

20 x, probing depth, clinical attachment level, furcation involvement, bleeding on probing (BOP), and su

21 cial in GTR treatment of Class II mandibular furcation involvements, both in terms of soft and hard t

22 the treatment of mandibular molar degree II furcation involvement, comparing the clinical outcomes w

23 Furcation involvement complicates the management of peri

24 and change in class of clinically detectable furcation involvement (FC).

25 In the PR group, a one-wall defect and >=1 furcation involvement (FI) increased the risk of tooth l

26 s, namely tooth type, arch, number of roots, furcation involvement (FI), pulp vitality, mobility, typ

27 sentially based on accurate diagnosis of the furcation involvement (FI).

28 and tooth-related factors (abutment status, furcation involvement [FI], tooth mobility, mean periodo

29 Increased probing depth, more severe furcation involvement, greater mobility, unsatisfactory

30 verestimate the true anatomical component of furcation involvement in mandibular molars.

31 Fourteen percent of these persons had furcation involvement in one or more teeth.

32 s performed on mandibular molars, chances of furcation involvement in the future were very high.

33 ndicated that initial probing depth, initial furcation involvement, initial mobility, initial crown-t

34 l showed that initial probing depth, initial furcation involvement, initial mobility, initial percent

35 sociated with initial probing depth, initial furcation involvement, initial tooth malposition, and sm

36 The degree of success in the management of furcation involvement is highly variable and related to

37 The degree of success in managing furcation involvement is inversely related to the horizo

38 The treatment of molar furcation involvement is unpredictable due to the comple

39 actors facilitates predictable management of furcation involvement lesions.

40 ng sites, lower gingival index values, fewer furcation involvements, less attachment loss, and less a

41 portance of attachment level, probing depth, furcation involvement, mobility, plaque, inflammation, e

42 at these AI tools could help dentists detect furcation involvement more reliably.

43 recall visit; initial periodontal prognosis; furcation involvement; non-surgical and surgical periodo

44 ession, clinical attachment level, mobility, furcation involvement, number of missing teeth, and Mach

45 ession, clinical attachment level, mobility, furcation involvement, number of missing teeth, and peri

46 e is not carefully planned, it may result in furcation involvement of multirooted teeth.

47 The degree of furcation involvement on clinical findings was confirmed

48 e of artificial intelligence (AI), to detect furcation involvement on dental X-rays.

49 eep learning has shown a potential to detect furcation involvement on radiographic images.

50 entials of deep learning models in detecting furcation involvement on radiographic images.

51 ertain conditions, like molars with advanced furcation involvement or higher periodontal risk scores,

52 The panel found that Glickman grade 2 furcation involvement or Miller degree II mobility would

53 models show promising accuracy in detecting furcation involvement, particularly in mandibular molars

54 ors evaluated (age, probing depth, mobility, furcation involvement, smoking, and molar type) were ass

55 CT scans offer more detailed information on furcation involvement than clinical probing.

56 elated factors; tooth type, number of roots, furcation involvement, vitality, mobility, and type of r

57 elated factors: tooth type, number of roots, furcation involvement, vitality, mobility, and type of r

58 Tooth type, number of roots, furcation involvement, vitality, mobility, and type of r

59 iodontal attachment loss, probing depth, and furcation involvement were assessed in 2 randomly select

60 ss, bleeding on probing, calculus index, and furcation involvement were evaluated.

61 pocket probing depths (PPD), recession, and furcation involvements were also measured.

62 were found to have radiographic evidence of furcation involvement, whereas none of the control teeth