Innovations in forensic medicine: reliability, validity, effectiveness
- Authors: Pigolkin Y.I.1, Zolotenkova G.V.1
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Affiliations:
- Sechenov First Moscow State Medical University (Sechenov University)
- Issue: Vol 11, No 1 (2025)
- Pages: 97-107
- Section: Editorials
- Submitted: 23.11.2024
- Accepted: 29.12.2024
- Published: 03.04.2025
- URL: https://for-medex.ru/jour/article/view/16225
- DOI: https://doi.org/10.17816/fm16225
- ID: 16225
Cite item
Abstract
Forensic medicine is a science that combines general biological and medical knowledge. Research in this area aims to develop and refine the skills needed to perform both justice and practical health care tasks. The modernization of our society leads to the development of forensic science, and the priority is given to significant targeted challenges and requests of forensic and investigative practice. Current forensic medicine is a branch of medicine, rapidly developing due to the achievements of related natural science disciplines and information technologies. The article introduces the results of scientific research in forensic medicine, which are socially significant and aimed at solving expert tasks of national importance. The foundation for the regular education and the leading researches in the field of forensic science were laid down at the Department of Forensic Medicine at Sechenov University. On its basis a complex of topical scientific researches was carried out and breakthrough results were obtained on the following problematic issues: identification of personality, age-related morphology, forensic traumatology, morphological diagnosis of chronic drug intoxication, acute and chronic alcohol intoxication, and sudden death. The article describes the most significant achievements and identifies promising areas of research activities of the Y.I. Pigolkin’s scientific school.
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About the authors
Yuri I. Pigolkin
Sechenov First Moscow State Medical University (Sechenov University)
Email: pigolkin@mail.ru
ORCID iD: 0000-0001-5370-4931
SPIN-code: 1426-5903
MD, Dr. Sci. (Medicine), Professor, Corresponding Member of the Russian Academy of Sciences
Россия, 8 Trubetskaya st, bldg 2, Moscow, 119992Galina V. Zolotenkova
Sechenov First Moscow State Medical University (Sechenov University)
Author for correspondence.
Email: zolotenkova_g_v@staff.sechenov.ru
ORCID iD: 0000-0003-1764-2213
SPIN-code: 1685-1802
MD, Dr. Sci. (Medicine), Assistant Professor
Россия, 8 Trubetskaya st, bldg 2, Moscow, 119992References
- Pigolkin YuI, Lomakin YuV, Khodulapov AV. Department of forensic medicine of Sechenov University. 215 years since its foundation. Moscow: GEOTAR-Media; 2020. (In Russ)
- Pigolkin YuI, Zolotenkova GV. Research and development of Sechenov University forensic medicine department within the program «Priority-2030» implementation. Forensic Medical Expertise. 2023;66(4):5–8. doi: 10.17116/sudmed2023660415 EDN: AACGUZ
- Ivanov PL, Shcherbakova EV, Pigolkin YuI. Practical use of molecular-genetic technologies in solving the tasks of forensic medical identification of remains in emergencies with huge human death toll. Forensic Medical Expertise. 2004;47(5):31–40. EDN: YLUCLB
- Pigolkin YuI, Kosukhina OI, Fomina EE, et al. Innovations in forensic medicine: accuracy, evidence and effectiveness of expertises in emergencies in case of mass fatality. Forensic Medical Expertise. 2024;67(4):22–26. doi: 10.17116/sudmed20246704122 EDN: IWRSZB
- Kosukhina OI, Kareva YuP, Leonov SV, et al. Modern opportunities of using computer programs and mobile devices in the frame of personality identification. Forensic Medical Expertise. 2024;67(4):27–30. doi: 10.17116/sudmed20246704127 EDN: GKUKHS
- Pigolkin YuI, Osipenkova TK, Bogomolov DV, Nevolin NI. Detection of traces of old injuries in the skull vault bones of emperor Nicholas II. Forensic Medical Expertise. 1998;41(4):25–29. EDN: YEYGPB
- Angelakopoulos N, Franco A, Sezgin N, et al. Ear identification: a multi-ethnic study sample. Morphologie. 2023;107(359):100602. doi: 10.1016/j.morpho.2023.05.001 EDN: WTSDYE
- Leonov SV, Shakiryanova JuP. Use of computed tomography data for forensic identification of an individual. Russian Journal of Forensic Medicine. 2020;6(4):41–45. doi: 10.19048/fm339 EDN: FSDZCJ
- Zolotenkova GV, Rogachev AI, Pigolkin YI, et al. Age classification in forensic medicine using machine learning techniques. Sovremennye tehnologii v medicine. 2022;14(1):15–24. doi: 10.17691/stm2022.14.1.02 EDN: WRMKYT
- Zolotenkova GV, Gridina NV, Solodovnikov VI, et al. Calculation of an individual's biological age with the use of the latest information technologies and construction of a promising intellectual hardware and software complex. Forensic Medical Expertise. 2019;62(3):42–47. doi: 10.17116/sudmed20196203142 EDN: UQEWYK
- Glybochko P.V., Pigolkin YuI, Nikolenko VN, et al. Forensic diagnosis of age. Moscow: Sechenov First Moscow State Medical University (Sechenov University); 2016. (In Russ) EDN: VNOIML
- Pigolkin YuI, Zolotenkova GV, Poletaeva MP. Comprehensive assessment of age-related changes in forensic medical identification of a person. Pigolkina YuI, editor. Moscow: GEOTAR-Media; 2023. (In Russ)
- Scendoni R, Zolotenkova GV, Vanin S, et al. Forensic validity of the third molar maturity index (I3M) for age estimation in a Russian population. BioMed Research International. 2020;2020(1):6670590. doi: 10.1155/2020/6670590 EDN: PABEZP
- Angelakopoulos N, Galić I, Balla SB, et al. Comparison of the third molar maturity index (I3M) between left and right lower third molars to assess the age of majority: a multi-ethnic study sample. International Journal of Legal Medicine. 2021;135(6):2423–2436. doi: 10.1007/s00414-021-02656-2 EDN: WOKKPG
- Angelakopoulos N, De Luca S, Oliveira-Santos I, et al. Third molar maturity index (I3M) assessment according to different geographical zones: a large multi-ethnic study sample. International Journal of Legal Medicine. 2023;137(2):403–425. doi: 10.1007/s00414-022-02930-x EDN: AIKIRQ
- Velenko PS, Poletaeva MP, Bychkov AA, et al. Chromatographic analysis of hard tooth tissue to determine the age of personality. Forensic Medical Expertise. 2023;66(4):58–61. doi: 10.17116/sudmed20236604158 EDN: QXBXYU
- Kravchik MV, Zolotenkova GV, Grusha YO, et al. Age-related changes in cationic compositions of human cranial base bone apatite measured by X-ray energy dispersive spectroscopy (EDS) coupled with scanning electron microscope (SEM). BioMetals. 2022;35(5):1077–1094. doi: 10.1007/s10534-022-00425-1 EDN: SKBQCP
- Zolotenkov DD, Trufanov MI, Solodovnikov VI. Individual age determination based on computed tomography knee analysis using artificial neural networks and computer vision: preliminary results. Russian Journal of Forensic Medicine. 2024;9(4):403–412. doi: 10.17816/fm11915 EDN: RZEEGC
- Zolotenkov DD, Ogarev EV, Valetov DK, et al. Age assessment using CT of knee joint and neural network technologies. Forensic Medical Expertise. 2023;66(4):34–40. doi: 10.17116/sudmed20236604134 EDN: BNYVFZ
- Zolotenkova GV, Valetov DK, Poletaeva MP, Vassilevski YuV. Experience of using neural networks to assess age-related changes in some structures of the skull and cervical vertebrae based on СТ scans (pilot project). Sovremennye tehnologii v medicine. 2024;16(2):29–39. doi: 10.17691/stm2024.16.2.03 EDN: ALYIIM
- Kislov MA, Chauhan M, Stepanov SA, et al. Forensic diagnostics of the range of rifled firearm calculated by back spatter over clothing. Legal Medicine. 2022;57:102051. doi: 10.1016/j.legalmed.2022.102051 EDN: AIKSHO
- Kislov MA, Chauhan M, Leonov SV, Pigolkin YI. Forensic medical characteristics of firearm exit wounds in cases with armour protection. Legal Medicine. 2022;54:102002. doi: 10.1016/j.legalmed.2021.102002 EDN: LDFIGR
- Kuzmina VA, Leonov SV, Pinchuk PV, et al. Forensic characteristic of damages caused by offensive grenades detonation. Forensic Medical Expertise. 2024;67(4):31–36. doi: 10.17116/sudmed20246704131 EDN: BVJXDU
- Kislov MA, Makarov IY, Leonov SV, et al. The current state of the issue on explosive injury. Forensic Medical Expertise. 2021;64(4):68–72. doi: 10.17116/sudmed20216404168 EDN: KKOANH
- Kislov MA, Krupin KN, Pigolkin YuI. Mathematical modeling of the fracture along the length of the femur diaphysis. Forensic Medical Expertise. 2023;66(4):19–24. doi: 10.17116/sudmed20236604119 EDN: ATYBAT
- Pigolkin YuI, Dubrovin IA, Mosoyan AS, Bychkov AA. The forensic medical evaluation of the injuries inflicted inside the passenger compartment of a moving car equipped with the modern personal safety systems. Forensic Medical Expertise. 2018;61(1):16–20. doi: 10.17116/sudmed20186116-20 EDN: YNXLZL
- Pigolkin YuI, Leonov SV, Dubrovin IA, Gornostaev DV. Traumatic brain injury. Mechanogenesis, morphology and forensic medical assessment. Moscow: Jurayt; 2021. (In Russ.)
- Krupin KN. Mathematical modelling of craniocereberal trauma. Russian Journal of Forensic Medicine. 2018;4(1):13–16. doi: 10.19048/2411-8729-2018-4-1-13-16 EDN: VTJDUM
- Pigolkin YuI, Zolotenkova GV. The implementation of modern achievements of neurohistology in forensic practice. Pacific Medical Journal. 2016;2(64):49–54. doi: 10.17238/PmJ1609-1175.2016.2.49-54 EDN: VUYOJV
- Pigolkin IuI. Forensic medical characteristic of the neurovascular apparatus in the case of spinal cord injury. Forensic Medical Expertise. 2012;55(1):22–29. (In Russ.) EDN: PEUKJV
- Pigolkin IuI, Dolzhanskii OV. Forensic medical estimation of acute blood loss based on morpho-functional changes in the internal organs. Forensic Medical Expertise. 2011;54(5):4–7. EDN: PHOLGB
- Dubrovin IA, Chauhan M, Dubrovina IA, Kislov MA. Patho-mechanical comparative morpho-characterization of contre-coup injuries of liver by cadaveric experimental simulation for medico-legal and forensic implications. Journal of Forensic and Legal Medicine. 2022;91:102422. doi: 10.1016/j.jflm.2022.102422 EDN: DYUCCG
- Khushkadamov ZK, Pigolkin UI, Kurbonov SS, Mirzoev XM. Patomorfological chenging of a tissue and internal organs in a termical deasies. News of the National Academy of Sciences of Tajikistan. Department of Biological Sciences. 2008;4:78–83. EDN: OZQUKJ
- Pigolkin YuI, Nikityuk DB, Kuznetsov II, et al. Morphometric parameters of the lung tissue in isolated musculoskeletal injuries under conditions of moderate hyperhomocysteinemia. Bulletin of Experimental Biology and Medicine. 2020;169(5):721–723. doi: 10.1007/s10517-020-04964-w EDN: VQXMCG
- Kislov MA, Chauhan M, Khanna SK, et al. Mapping homicide by 3-D modelling of bloodstain patterns at crime scene. Medico-Legal Journal. 2023;91(2):109–112. doi: 10.1177/00258172221145782 EDN: FNQBNQ
- Alpuche R, Pigolkin YuI, Zakharov SN, Lednev IK. Vibrational spectroscopy use for forensic purposes combined with machine learning. Forensic Medical Expertise. 2024;67(4):69–72. doi: 10.17116/sudmed20246704169 EDN: ATTKEN
- Pigolkin YuI, Morozov YuE, Mamedov VK. Acute and chronic alcohol intoxication: morphological, histochemical and chemical-toxicological criteria for forensic diagnostics. Guide for physicians. Moscow: MIA; 2003. (In Russ)
- Pigolkin YuI, editor. Morphological diagnostics of drug intoxication in forensic medicine. Moscow: Medicine; 2004. (In Russ)
- Berezovskiy DP, Fedulova MV, Gornostaev DV, et al. Morphofunctional characteristics of the heart in sudden death of children under 1 year of age in the forensic medical aspect. Forensic Medical Expertise. 2022;65(2):5–8. doi: 10.17116/sudmed2022650215 EDN: AHQMJY
- Pigolkin YuI, Todorov SS, Berezovsky DP, et al. Forensic diagnosis of sudden death of young people based on morphological analysis of the cardiac conduction system. Forensic Medical Expertise. 2020;63(5):39–42. doi: 10.17116/sudmed20206305139 EDN: IBHUWO
- Pigolkin YuI, Shilova MA, Berezovskiy DP, et al. Molecular genetic basis of sudden cardiac death in the young with cardiomyopathy of various origins. Forensic Medical Expertise. 2019;62(3):48–53. doi: 10.17116/sudmed20196203148 EDN: HSDZOZ
- Munblit D, Nekliudov NA, Bugaeva P, et al; Sechenov StopCOVID Research Team. Stop COVID cohort: an observational study of 3480 patients admitted to the Sechenov University Hospital network in Moscow City for suspected coronavirus disease 2019 (COVID-19) infection. Clinical Infectious Diseases. 2020;73(1):1–11. doi: 10.1093/cid/ciaa1535 EDN: VNLAVY
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