Journal of Peking University(Health Sciences) ›› 2019, Vol. 51 ›› Issue (1): 59-64. doi: 10.19723/j.issn.1671-167X.2019.01.011

Previous Articles     Next Articles

Near-infrared light transillumination for detection of incipient proximal caries in primary molars

Qiong ZHOU,Chu-fang PENG,Man QIN()   

  1. Department of Pediatric Dentistry, Peking University School and Hospital of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Laboratory for Digital and Material Technology of Stomatology & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China
  • Received:2017-10-11 Online:2019-02-18 Published:2019-02-26
  • Contact: Man QIN E-mail:qin-man@foxmail.com
  • Supported by:
    Supported by the Program for New Clinical Techniques and Therapies of Peking University School and Hospital of Stomatology(PKUSSNCT-16B10)

Abstract:

Objective: To evaluate the practical value of near-infrared light transillumination (NILT, DIAGNOcam) on detection of incipient proximal caries in primary molars. Methods: In this study, 4-9-year-old children with suspicious proximal lesions in primary molars were recruited. The target teeth were examined with clinical examination, bitewing radiograph and DIAGNOcam. And the caries indexes were rated as 0 (no caries), 1 (caries reaching outer 1/2 enamel), 2 (caries reaching inner 1/2 ena-mel), and 3 (dentine caries). Those primary molars with at least one of the adjacent molars according with the criteria of invasive treatment, i.e. the teeth were diagnosed as caries reaching inner 1/2 enamel or dentine with at least two detection methods, were included. The target teeth with caries index ≥2 accepted the invasive treatment. And the caries status of the adjacent teeth was observed under direct vision and those teeth of caries index ≥2 would also accept the invasive treatment. The relationship of lesions to enamel-dentine junction (EDJ) were recorded and used as reference standard to compare the sensitivity, specificity and accuracy of those three methods in detecting the incipient proximal caries in primary molars. Results: In this study, 36 children with 104 suspicious proximal lesions in primary molars were recruited, of which 5 were diagnosed as no caries, 20 were diagnosed as superficial enamel caries, and 79 accepted invasive treatment, of which 22 were diagnosed as EDJ caries, and 57 as dentine caries. The sensitivity of clinical examination, bitewing radiograph, and DIAGNOcam were 68.69%, 81.82%, 78.79%, respectively. The specificity were 100.00%, 100.00%, 80.00%, and the accuracy were 75.96%, 85.65%, 78.85%, respectively. As for superficial enamel caries, the sensitivity of cli-nical examination was lowest, only 10%, while DIAGNOcam was 60%, higher than 40% of bitewing radiograph. As for EDJ caries, the sensitivity of bitewing radiograph was highest as 86.36%, followed by DIAGNOcam 72.73% and clinical examination 68.18%. As for dentine caries, the sensitivity of the three detection methods were higher than 85%, of which bitewing radiograph was the highest as 94.74%. Conclusion: The accuracy of DIAGNOcam in detecting incipient proximal caries in primary molars was comparable to that of bitewing radiograph. It was safe, and convenient with no exposure to radiation, which was applicable to be used in pediatric dentistry.

Key words: Deciduous tooth, Dental caries, Transillumination, Diagnosis

CLC Number: 

  • R781.1

Figure 1

Experiment process illustrated in a simplified sequence flow diagram EDJ, enamel-dentine junction; OHI, oral hygiene introduction."

Figure 2

DIAGNOcam was taking photos on the occlusal surfaces in vitro"

Figure 3

Decay in distal of lower left first primary molar and mesial of lower left second primary molar A, bitewing; B, DIAGNOcam; C, visual detection before removal of decay; D, after removal of decay."

Table 1

The final diagnosis of teeth included in this study"

Tooth Intact Outer
enamel
Inner
enamel
Dentine Total
Upper first primary molar 0 6 4 15 25
Upper second primary molar 0 5 8 12 25
Lower first primary molar 1 1 8 18 28
Lower second primary molar 4 8 2 12 26
Total 5 20 22 57 104

Table 2

Comparison of sensitivity, specificity and accuracy among visual, bitewing and DIAGNOcam detection"

Items Visual Bitewing DIAGNOcam
Sensitivity 68.69% 81.82% 78.79%
Specificity 100.00% 100.00% 80.00%
Accuracy 75.96% 85.65% 78.85%

Table 3

Comparison of sensitivity among visual, bitewing and DIAGNOcam detection to different caries status"

Items Visual Bitewing DIAGNOcam
Outer enamel 10.00% 40.00% 60.00%
Inner enamel 68.18% 86.36% 72.73%
Dentine 89.47% 94.74% 87.72%

Table 4

Comparison of sensitivity among parallel joint detection of visual, bitewing and DIAGNOcam detection to different caries status"

Items V or B V or D D or B V or D or B
Outer enamel 40.00% 60.00% 70.00% 70.00%
Inner enamel 95.45% 86.36% 100.00% 100.00%
Dentine 98.25% 98.25% 100.00% 100.00%

Table 5

Comparison of sensitivity among serial joint detection of visual, bitewing and DIAGNOcam detection to different caries status"

Items V & B V & D D & B V & D & B
Outer enamel 10.00% 10.00% 30.00% 10.00%
Inner enamel 59.09% 54.55% 59.09% 45.45%
Dentine 87.72% 85.96% 87.72% 82.46%

Table 6

Comparison of the sensitivity among visual,bitewing and DIAGNOcam detection to different location of teeth"

Tooth Visual Bitewing DIAGNOcam
Upper first primary molar 68.00% 84.00% 40.00%
Upper second primary molar 68.00% 80.00% 96.00%
Lower first primary molar 85.19% 92.59% 92.59%
Lower second primary molar 50.00% 68.18% 86.36%

Figure 4

Comparison of DIAGNOcam and bitewing detection of proximal caries in upper right first and second primary molars A, DIAGNOcam detection showed no decay in upper right first primary molar and cavity reaching enamel-dentinal junction in upper right second primary molar; B, bitewing showed cavity in upper right first primary molar reaching enamel-dentinal junction while only decay in outer enamel of upper right second primary molar."

[1] 葛立宏 . 儿童口腔医学 [M]. 北京: 人民卫生出版社, 2012: 113.
[2] Verdonschot EH, Angmar-Månsson B, ten Bosch JJ , et al. Deve-lopments in caries diagnosis and their relationship to treatment decisions and quality of care. ORCA Saturday Afternoon Symposium 1997[J]. Caries Res, 1999,33(1):32-40.
doi: 10.1159/000016493
[3] Wenzel A . Bitewing and digital bitewing radiography for detection of caries lesions[J]. J Dent Res, 2004,83:C72-C75.
doi: 10.1177/154405910408301S14 pmid: 15286126
[4] Friedman J, Marcus MI . Transillumination of theoral cavity with use of fiber optics[J]. J Am Dent Assoc, 1970,80(4):801-809.
doi: 10.14219/jada.archive.1970.0117 pmid: 5264574
[5] 陈君, 岳林 . 对光纤透照法诊断后牙邻面龋的评价[J]. 现代口腔医学杂志, 1998,12(3):178-180.
[6] Ye SY, Kim JY, Ro JH , et al. Detecting incipient caries using front-illuminated infrared light scattering imaging[J]. Trans Electr Electron Mater, 2012,13(6):310-316.
doi: 10.4313/TEEM.2012.13.6.310
[7] Astvaldsdóttir A, Ahlund K, Holbrook WP , et al. Approximal caries detection by DIFOTI: in vitro comparison of diagnostic accuracy/efficacy with film and digital radiography[J]. Int J Dent, 2012,326401. doi: 10.1155/2012/326401.
doi: 10.1155/2012/326401 pmid: 23213335
[8] Abdelaziz M, Krejci I . DIAGNOcam—a near infrared digital imaging transillumination (NIDIT) technology[J]. Int J Esthet Dent, 2015,10(1):158-165.
pmid: 25625132
[9] 高洁, 李波, 刘月华 . 乳切牙牙体硬组织的扫描电镜观察及临床分析[J]. 实用口腔医学杂志, 2008,24(2):274-276.
doi: 10.3969/j.issn.1001-3733.2008.02.029
[10] 于世凤 . 口腔组织病理学 [M]. 北京: 人民卫生出版社, 2006: 141-147.
[11] Abogazalah N, Eckert GJ, Ando M . In vitro performance of near infrared light transillumination at 780-nm and digital radiography for detection of non-cavitated approximal caries[J]. J Dent, 2017,63:44-50.
doi: 10.1016/j.jdent.2017.05.018 pmid: 28559050
[12] Kühnisch J, Söchtig F, Pitchika V , et. al. In vivo validation of near-infrared light transillumination for interproximal dentin caries detection[J]. Clin Oral Investig, 2016,20(4):821-829.
doi: 10.1007/s00784-015-1559-4 pmid: 26374746
[13] Mejàre I, Gröndahl HG, Carlstedt K , et al. Accuracy at radiography and probing for the diagnosis of proximal caries[J]. Scand J Dent Res, 1985,93(2):178-184.
doi: 10.1111/j.1600-0722.1985.tb01328.x pmid: 3858967
[14] 于江利, 唐仁韬, 冯琳 , 等. 数字化光纤透照法判断龋洞深度[J]. 北京大学学报(医学版), 2017,49(1):81-85.
doi: 10.3969/j.issn.1671-167X.2017.01.014
[1] Guang-yan MENG,Yun-xiao ZHANG,Yu-xin ZHANG,Yan-ying LIU. Clinical characteristics of central nervous system involvement in IgG4 related diseases [J]. Journal of Peking University (Health Sciences), 2021, 53(6): 1043-1048.
[2] Li ZHAI,Nan QIU,Hui SONG. Multicentric reticulohistiocytosis: A case report [J]. Journal of Peking University (Health Sciences), 2021, 53(6): 1183-1187.
[3] ZHAO Si-ming,ZHAO Xiao-han,ZHANG Jie,WANG Dang-xiao,WANG Xiao-yan. Preliminary evaluation of a virtual reality dental simulation system on training of caries identification ability [J]. Journal of Peking University (Health Sciences), 2021, 53(1): 139-142.
[4] YUAN Yuan,LANG Ning,YUAN Hui-shu. CT spectral curve in differentiating spinal tumor metastasis and infections [J]. Journal of Peking University (Health Sciences), 2021, 53(1): 183-187.
[5] Qi KANG,Ji-xin ZHANG,Ying GAO,Jun-qing ZHANG,Xiao-hui GUO. Analysis of diagnosis and treatment of 100 patients with Hürthle cell adenoma [J]. Journal of Peking University (Health Sciences), 2020, 52(6): 1098-1101.
[6] Gong CHENG,Xia ZHANG,Fei YANG,Jia-yu CHENG,Yan-ying LIU. Angioimmunoblastic T-cell lymphoma with fever, arthritis and skin pigmentation: A case report [J]. Journal of Peking University (Health Sciences), 2020, 52(6): 1150-1152.
[7] Cai-nan LUO,Zheng-fang LI,Li-jun WU,Hai-juan CHEN,Chun-mei YANG,Wen-hui XU,Xiao-ling LIU,Wei TANG,Ping QIAO,Baihetiya Rena. Multicenter performance of the different classification criteria for rheumatoid arthritis [J]. Journal of Peking University (Health Sciences), 2020, 52(5): 897-901.
[8] Xiao-xian CHEN,Jie ZHONG,Wen-juan YAN,Hong-mei ZHANG,Xia JIANG,Qian HUANG,Shi-hua XUE,Xing-gang LIU. Clinical performance of rensin-bonded composite strip crowns in primary incisors [J]. Journal of Peking University (Health Sciences), 2020, 52(5): 907-912.
[9] Lu LIU,Jie TIAN,Kai WU,Ying GAO,Zheng ZHANG,Jun-qing ZHANG,Xiao-hui GUO. Clinical profile of pheochromocytoma and paraganglioma with normal plasma free metanephrines [J]. Journal of Peking University (Health Sciences), 2020, 52(4): 614-620.
[10] Xiao LI,Jia-zeng SU,Yan-yan ZHANG,Li-qi ZHANG,Ya-qiong ZHANG,Deng-gao LIU,Guang-yan YU. Inflammation grading and sialoendoscopic treatment of131I radioiodine-induced sialadenitis [J]. Journal of Peking University (Health Sciences), 2020, 52(3): 586-590.
[11] Xiao WANG,Zhao-xing LI,Huan-fang FAN,Li-ying WEI,Xu-jin GUO,Na GUO,Tong WANG. A rare case of cystadenoma in the small intestine [J]. Journal of Peking University (Health Sciences), 2020, 52(2): 382-384.
[12] Yu-bing LI,Li-sha SUN,Zhi-peng SUN,Xiao-yan XIE,Jian-yun ZHANG,Zu-yan ZHANG,Yan-ping ZHAO,Xu-chen MA. Parotid CT imaging reporting and data system: A preliminary study [J]. Journal of Peking University(Health Sciences), 2020, 52(1): 83-89.
[13] Xiao-ran NING,Zi-qiao WANG,Shan-shan ZHANG,Xia ZHANG,Su-mei TANG,Yan-ying LIU. Application of ultrasonography scoring system in the assessment of IgG4-related sialadenitis [J]. Journal of Peking University(Health Sciences), 2019, 51(6): 1032-1035.
[14] Peng FU,Wen CHEN,Li-gang CUI,Hui-yu GE,Shu-min WANG. Applicational value of 2017 ACR TI-RADS stratification in diagnosing thyroid nodules [J]. Journal of Peking University(Health Sciences), 2019, 51(6): 1067-1070.
[15] Chong-ke SUN,Jian-yun ZHANG,Zhi-peng SUN,Kai-yuan FU,Yan-ping ZHAO,Zu-yan ZHANG,Xu-chen MA. Computed tomographic features of desmoplastic ameloblastoma of the jaw [J]. Journal of Peking University(Health Sciences), 2019, 51(6): 1138-1143.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] . [J]. Journal of Peking University(Health Sciences), 2009, 41(4): 456 -458 .
[2] . [J]. Journal of Peking University(Health Sciences), 2009, 41(2): 125 -128 .
[3] . [J]. Journal of Peking University(Health Sciences), 2009, 41(2): 135 -140 .
[4] . [J]. Journal of Peking University(Health Sciences), 2009, 41(2): 158 -161 .
[5] . [J]. Journal of Peking University(Health Sciences), 2009, 41(2): 217 -220 .
[6] . [J]. Journal of Peking University(Health Sciences), 2009, 41(1): 52 -55 .
[7] . [J]. Journal of Peking University(Health Sciences), 2009, 41(1): 109 -111 .
[8] . [J]. Journal of Peking University(Health Sciences), 2009, 41(3): 297 -301 .
[9] . [J]. Journal of Peking University(Health Sciences), 2009, 41(5): 599 -601 .
[10] . [J]. Journal of Peking University(Health Sciences), 2009, 41(5): 516 -520 .