Forensic Validity of the Third Molar Maturity Index (I3M) for Age Estimation in a Russian Population
The aim of this cross-sectional study was to test the accuracy of the third molar maturity index (I3M) cut-off value (0.08) to distinguish between individuals above and below the adult age of legal responsibility (18 years) in a Russian population. A sample of 571 digital panoramic radiographs of he...
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Published in | BioMed research international Vol. 2020; no. 2020; pp. 1 - 6 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
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Cairo, Egypt
Hindawi Publishing Corporation
2020
Hindawi John Wiley & Sons, Inc |
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Abstract | The aim of this cross-sectional study was to test the accuracy of the third molar maturity index (I3M) cut-off value (0.08) to distinguish between individuals above and below the adult age of legal responsibility (18 years) in a Russian population. A sample of 571 digital panoramic radiographs of healthy Russian minors and young adults (363 females and 208 males), aged between 14 and 24 years, was evaluated. The lower left third molars were analyzed by applying the cut-off value of 0.08 determined by Cameriere et al. (2008). Lin’s concordance correlation coefficient (ρc) and Cohen’s kappa coefficient (κ) showed that repeatability and reproducibility are high for both intra- and interobserver errors. The I3M value decreased with age in both sexes. Age distribution gradually decreases as I3M increases in both girls and boys. In the male group, molar maturity stages 0-0.04, 0.04-0.08, 0.08-0.3, 0.3-0.5, and 0.9-1.4 were reached slightly earlier than in the female group. The results demonstrated that sensitivity is 0.96 in boys and 0.93 in girls; associated specificity values were both 0.98. The cut-off value of I3M is statistically robust and thus valid for forensic application in a Russian population to determine whether or not a subject has reached 18 years of age. Finally, we compared our results with those of other studies in which the same I3M cut-off value was tested on different populations. The method is novel as it is reliable and easily reproducible, thus ensuring a universal way of comparing the results obtained (based on a cut-off value) among many populations, in order to develop an ever-increasing database. |
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AbstractList | The aim of this cross-sectional study was to test the accuracy of the third molar maturity index (
) cut-off value (0.08) to distinguish between individuals above and below the adult age of legal responsibility (18 years) in a Russian population. A sample of 571 digital panoramic radiographs of healthy Russian minors and young adults (363 females and 208 males), aged between 14 and 24 years, was evaluated. The lower left third molars were analyzed by applying the cut-off value of 0.08 determined by Cameriere et al. (2008). Lin's concordance correlation coefficient (
) and Cohen's kappa coefficient (
) showed that repeatability and reproducibility are high for both intra- and interobserver errors. The
value decreased with age in both sexes. Age distribution gradually decreases as
increases in both girls and boys. In the male group, molar maturity stages 0-0.04, 0.04-0.08, 0.08-0.3, 0.3-0.5, and 0.9-1.4 were reached slightly earlier than in the female group. The results demonstrated that sensitivity is 0.96 in boys and 0.93 in girls; associated specificity values were both 0.98. The cut-off value of
is statistically robust and thus valid for forensic application in a Russian population to determine whether or not a subject has reached 18 years of age. Finally, we compared our results with those of other studies in which the same
cut-off value was tested on different populations. The method is novel as it is reliable and easily reproducible, thus ensuring a universal way of comparing the results obtained (based on a cut-off value) among many populations, in order to develop an ever-increasing database. The aim of this cross‐sectional study was to test the accuracy of the third molar maturity index ( I 3M ) cut‐off value (0.08) to distinguish between individuals above and below the adult age of legal responsibility (18 years) in a Russian population. A sample of 571 digital panoramic radiographs of healthy Russian minors and young adults (363 females and 208 males), aged between 14 and 24 years, was evaluated. The lower left third molars were analyzed by applying the cut‐off value of 0.08 determined by Cameriere et al. (2008). Lin’s concordance correlation coefficient ( ρ c ) and Cohen’s kappa coefficient ( κ ) showed that repeatability and reproducibility are high for both intra‐ and interobserver errors. The I 3M value decreased with age in both sexes. Age distribution gradually decreases as I 3M increases in both girls and boys. In the male group, molar maturity stages 0‐0.04, 0.04‐0.08, 0.08‐0.3, 0.3‐0.5, and 0.9‐1.4 were reached slightly earlier than in the female group. The results demonstrated that sensitivity is 0.96 in boys and 0.93 in girls; associated specificity values were both 0.98. The cut‐off value of I 3M is statistically robust and thus valid for forensic application in a Russian population to determine whether or not a subject has reached 18 years of age. Finally, we compared our results with those of other studies in which the same I 3M cut‐off value was tested on different populations. The method is novel as it is reliable and easily reproducible, thus ensuring a universal way of comparing the results obtained (based on a cut‐off value) among many populations, in order to develop an ever‐increasing database. The aim of this cross-sectional study was to test the accuracy of the third molar maturity index (I3M) cut-off value (0.08) to distinguish between individuals above and below the adult age of legal responsibility (18 years) in a Russian population. A sample of 571 digital panoramic radiographs of healthy Russian minors and young adults (363 females and 208 males), aged between 14 and 24 years, was evaluated. The lower left third molars were analyzed by applying the cut-off value of 0.08 determined by Cameriere et al. (2008). Lin’s concordance correlation coefficient (ρc) and Cohen’s kappa coefficient (κ) showed that repeatability and reproducibility are high for both intra- and interobserver errors. The I3M value decreased with age in both sexes. Age distribution gradually decreases as I3M increases in both girls and boys. In the male group, molar maturity stages 0-0.04, 0.04-0.08, 0.08-0.3, 0.3-0.5, and 0.9-1.4 were reached slightly earlier than in the female group. The results demonstrated that sensitivity is 0.96 in boys and 0.93 in girls; associated specificity values were both 0.98. The cut-off value of I3M is statistically robust and thus valid for forensic application in a Russian population to determine whether or not a subject has reached 18 years of age. Finally, we compared our results with those of other studies in which the same I3M cut-off value was tested on different populations. The method is novel as it is reliable and easily reproducible, thus ensuring a universal way of comparing the results obtained (based on a cut-off value) among many populations, in order to develop an ever-increasing database. The aim of this cross-sectional study was to test the accuracy of the third molar maturity index (I 3M) cut-off value (0.08) to distinguish between individuals above and below the adult age of legal responsibility (18 years) in a Russian population. A sample of 571 digital panoramic radiographs of healthy Russian minors and young adults (363 females and 208 males), aged between 14 and 24 years, was evaluated. The lower left third molars were analyzed by applying the cut-off value of 0.08 determined by Cameriere et al. (2008). Lin's concordance correlation coefficient (ρ c) and Cohen's kappa coefficient (κ) showed that repeatability and reproducibility are high for both intra- and interobserver errors. The I 3M value decreased with age in both sexes. Age distribution gradually decreases as I 3M increases in both girls and boys. In the male group, molar maturity stages 0-0.04, 0.04-0.08, 0.08-0.3, 0.3-0.5, and 0.9-1.4 were reached slightly earlier than in the female group. The results demonstrated that sensitivity is 0.96 in boys and 0.93 in girls; associated specificity values were both 0.98. The cut-off value of I 3M is statistically robust and thus valid for forensic application in a Russian population to determine whether or not a subject has reached 18 years of age. Finally, we compared our results with those of other studies in which the same I 3M cut-off value was tested on different populations. The method is novel as it is reliable and easily reproducible, thus ensuring a universal way of comparing the results obtained (based on a cut-off value) among many populations, in order to develop an ever-increasing database.The aim of this cross-sectional study was to test the accuracy of the third molar maturity index (I 3M) cut-off value (0.08) to distinguish between individuals above and below the adult age of legal responsibility (18 years) in a Russian population. A sample of 571 digital panoramic radiographs of healthy Russian minors and young adults (363 females and 208 males), aged between 14 and 24 years, was evaluated. The lower left third molars were analyzed by applying the cut-off value of 0.08 determined by Cameriere et al. (2008). Lin's concordance correlation coefficient (ρ c) and Cohen's kappa coefficient (κ) showed that repeatability and reproducibility are high for both intra- and interobserver errors. The I 3M value decreased with age in both sexes. Age distribution gradually decreases as I 3M increases in both girls and boys. In the male group, molar maturity stages 0-0.04, 0.04-0.08, 0.08-0.3, 0.3-0.5, and 0.9-1.4 were reached slightly earlier than in the female group. The results demonstrated that sensitivity is 0.96 in boys and 0.93 in girls; associated specificity values were both 0.98. The cut-off value of I 3M is statistically robust and thus valid for forensic application in a Russian population to determine whether or not a subject has reached 18 years of age. Finally, we compared our results with those of other studies in which the same I 3M cut-off value was tested on different populations. The method is novel as it is reliable and easily reproducible, thus ensuring a universal way of comparing the results obtained (based on a cut-off value) among many populations, in order to develop an ever-increasing database. |
Audience | Academic |
Author | Cameriere, Roberto Zolotenkova, Galina V. Vanin, Stefano Scendoni, Roberto Pigolkin, Yuri I. |
AuthorAffiliation | 3 Federal State Budgetary Scientific Institution, Developmental Information Technologies Center, The Russian Academy of Sciences (DITS), Odintsovo, 143003 Moscow Region, Russia 1 Department of Law, Institute of Legal Medicine (AgEstimation Project), University of Macerata, Macerata, Italy 2 Department of Forensic Medicine, Federal State Autonomous Educational Institution of Higher Education I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University), 119991 Moscow, Russia 4 Department for the Earth, Environment and Life Sciences, University of Genova, Genova, Italy |
AuthorAffiliation_xml | – name: 3 Federal State Budgetary Scientific Institution, Developmental Information Technologies Center, The Russian Academy of Sciences (DITS), Odintsovo, 143003 Moscow Region, Russia – name: 1 Department of Law, Institute of Legal Medicine (AgEstimation Project), University of Macerata, Macerata, Italy – name: 4 Department for the Earth, Environment and Life Sciences, University of Genova, Genova, Italy – name: 2 Department of Forensic Medicine, Federal State Autonomous Educational Institution of Higher Education I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University), 119991 Moscow, Russia |
Author_xml | – sequence: 1 fullname: Pigolkin, Yuri I. – sequence: 2 fullname: Vanin, Stefano – sequence: 3 fullname: Zolotenkova, Galina V. – sequence: 4 fullname: Scendoni, Roberto – sequence: 5 fullname: Cameriere, Roberto |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/33381573$$D View this record in MEDLINE/PubMed |
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CitedBy_id | crossref_primary_10_17116_sudmed20246702147 crossref_primary_10_3390_healthcare11142052 crossref_primary_10_1016_j_legalmed_2021_102010 crossref_primary_10_3390_diagnostics14141559 crossref_primary_10_17816_fm16174 crossref_primary_10_3390_healthcare11020224 crossref_primary_10_1371_journal_pone_0284219 crossref_primary_10_17116_sudmed20236605111 crossref_primary_10_1007_s00414_021_02656_2 crossref_primary_10_17116_sudmed20236604141 crossref_primary_10_1016_j_legalmed_2023_102318 crossref_primary_10_31857_S0869803124010022 crossref_primary_10_1186_s41935_023_00324_7 crossref_primary_10_17116_sudmed2023660415 crossref_primary_10_1007_s00414_023_02960_z crossref_primary_10_1007_s00414_022_02930_x crossref_primary_10_3390_healthcare11233047 crossref_primary_10_17116_sudmed20246704142 |
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ContentType | Journal Article |
Copyright | Copyright © 2020 Roberto Scendoni et al. COPYRIGHT 2020 John Wiley & Sons, Inc. Copyright © 2020 Roberto Scendoni et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 Copyright © 2020 Roberto Scendoni et al. 2020 |
Copyright_xml | – notice: Copyright © 2020 Roberto Scendoni et al. – notice: COPYRIGHT 2020 John Wiley & Sons, Inc. – notice: Copyright © 2020 Roberto Scendoni et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 – notice: Copyright © 2020 Roberto Scendoni et al. 2020 |
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Snippet | The aim of this cross-sectional study was to test the accuracy of the third molar maturity index (I3M) cut-off value (0.08) to distinguish between individuals... The aim of this cross‐sectional study was to test the accuracy of the third molar maturity index ( I 3M ) cut‐off value (0.08) to distinguish between... The aim of this cross-sectional study was to test the accuracy of the third molar maturity index ( ) cut-off value (0.08) to distinguish between individuals... The aim of this cross-sectional study was to test the accuracy of the third molar maturity index (I 3M) cut-off value (0.08) to distinguish between individuals... The aim of this cross-sectional study was to test the accuracy of the third molar maturity index ( I 3M ) cut-off value (0.08) to distinguish between... |
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SubjectTerms | Age Age composition Age determination Analysis Chronology Correlation coefficient Correlation coefficients Dental jurisprudence Dentistry Forensic science Girls Health aspects Maturity Methods Morphology Patients Physiological aspects Populations Radiographs Radiography Reproducibility Third molars Validity Values Violence Young adults |
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Title | Forensic Validity of the Third Molar Maturity Index (I3M) for Age Estimation in a Russian Population |
URI | https://search.emarefa.net/detail/BIM-1136096 https://dx.doi.org/10.1155/2020/6670590 https://www.ncbi.nlm.nih.gov/pubmed/33381573 https://www.proquest.com/docview/2474859949 https://www.proquest.com/docview/2474466108 https://pubmed.ncbi.nlm.nih.gov/PMC7749768 |
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