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Análise dinâmica de elementos finitos de impacto de projétil calibre .40 S&W em osso temporal na presença de tecidos nervosos   : Finite element analysis dynamic simulation of projectile impact caliber .40 S&W in temporal bone with neural tissue  

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UNIVERSIDADE ESTADUAL DE CAMPINAS

FACULDADE DE ODONTOLOGIA DE PIRACICABA

SÁRAH TEIXEIRA COSTA

PIRACICABA

2019

ANÁLISE DINÂMICA DE ELEMENTOS FINITOS DE

IMPACTO DE PROJÉTIL CALIBRE .40 S&W EM OSSO

TEMPORAL NA PRESENÇA DE TECIDOS NERVOSOS.

FINITE ELEMENT ANALYSIS DYNAMIC SIMULATION OF

PROJECTILE IMPACT CALIBER .40 S&W IN TEMPORAL

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SÁRAH TEIXEIRA COSTA

ANÁLISE DINÂMICA DE ELEMENTOS FINITOS DE

IMPACTO DE PROJÉTIL CALIBRE .40 S&W EM OSSO

TEMPORAL NA PRESENÇA DE TECIDOS NERVOSOS.

FINITE ELEMENT ANALYSIS DYNAMIC SIMULATION OF

PROJECTILE IMPACT CALIBER

.40 S&W

IN TEMPORAL

BONE WITH NEURAL TISSUE.

Tese apresentada à Faculdade de Odontologia de Piracicaba da Universidade Estadual de Campinas como parte dos requisitos exigidos para obtenção do título de Doutora em Biologia Buco-Dental, na Área de Anatomia.

Thesis presented to the Piracicaba Dental School of the University of Campinas in partial fulfillment of the requirements for the degree of Doctor in Anatomy area.

Orientadora: Profa. Dra. Ana Cláudia Rossi

ESTE EXEMPLAR CORRESPONDE À VERSÃO

FINAL DA TESE DEFENDIDA PELA ALUNA

SÁRAH TEIXEIRA COSTA E ORIENTADA PELA

PROFA. DRA. ANA CLÁUDIA ROSSI.

PIRACICABA

2019

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DEDICATÓRIA

Dedico este trabalho à minha mãe, Lígia, que nunca mediu esforços para

que eu alcançasse meus sonhos.

Dedico também este trabalho a minha tia, Rachel, e minhas avós, Petúnia

e Aparecida, que me apoiaram em absolutamente tudo.

Dedico também ao Rafael, mais que especial, um companheiro, amigo e

amor.

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AGRADECIMENTOS

O presente trabalho foi realizado com apoio da Conselho Nacional de

Desenvolvimento Científico e Tecnológico (CNPq), processo nº 140976/2016-7.

À Universidade Estadual de Campinas, na pessoa do Magnifico Reitor Prof.

Dr. Marcelo Knobel.

À Faculdade de Odontologia de Piracicaba, na pessoa do Senhor Diretor,

Prof. Dr. Francisco Haiter Neto.

A Coordenadoria de Pós Graduação, na figura da Senhora Coordenadora

Prof. Dr.ª Karina Gonzalez Silvério Ruiz.

À Equipe Técnica da Coordenadoria de Pós-graduação nas pessoas de

Érica A. Pinho Sinhoreti, Raquel Q. Marcondes Cesar, Claudinéia Prata Pradella,

Leandro Viganó e Ana Paula Carone, agradeço pela paciência, atenção e

disponibilidade em sempre me ajudar.

Aos servidores da biblioteca da FOP-UNICAMP pela valiosa disponibilidade

e atenção.

Ao programa de pós graduação em Biologia Buco-Dental, na figura da

coordenadora Prof. Dr.ª Ana Paula de Souza.

A minha orientadora, Profa. Dra. Ana Cláudia Rossi, grande anatomista,

pelos seus conhecimentos a mim transmitidos, dedicação, paciência e amizade. Ela

não só apostou em um sonho como foi fundamental para sua concretização, abrindo

portas e dando grandes oportunidades. Serei eternamente grata pela confiança e

incentivo.

Ao Prof. Dr. Alexandre Rodrigues Freire, pela participação indispensável no

meu trabalho! Obrigada por ser um exemplo de seriedade e competência.

Aos professores Eduardo Daruge Junior, Felippe Bevilacqua Prado,

Roberta Okamoto e Marília de Oliveira Coelho Dutra Leal, por gentilmente aceitarem

o convite de participar da minha banca.

À minha mãe pelo apoio incondicional em todas as horas. Nada aconteceria

sem você!!

Ao meu irmão, Rafael, pelo apoio e união!

Ao meu noivo, confidente e amigo, pelo incentivo constante e compreensão

da minha ausência. Pelo alento no desespero e amor irrestrito.

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Aos queridos Prof. Dr. Casimiro Almeida e Profa. Dra. Andreia Breda pelo

exemplo, carinho e valiosos ensinamentos.

Aos amigos de turma Marília Leal, Rafael Araújo, Marcos Paulo Salles

Machado, Larissa Lopes, Daniel Pignatari, Renato Takeo, Talita Máximo, Yuli

Quintero, Denise Rabelo, Tânia Santos, Rodrigo Ivo Matoso, Gilberto Carvalho, Talita

Lima e Thais Dezem, Viviane Ulbritch, Cristhiane Schimdt, Juliana Haddad, Maria

Cláudia Cuzzullin e Ana Paula Guidi, pois sem vocês tudo seria mais difícil.

Aos amigos Lívia Assis Lima, Enói Maria Miranda Mendes, Joana Panzera

de Souza Mello, Ana Guimarães de Brito Lira, Brunna Karla Lopes, Olívia Mara

Rodrigues, Cláudia D’Angelo, Débora Coelho, Marcela Romualdo, Andreia Queiroz,

Andrezza Albanese e Weslei Cavallaro, que mesmo depois da do colégio e graduação

sempre acompanharam minha trajetória.

A aqueles que mesmo de forma direta e indireta colaboraram com este

estudo.

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RESUMO

Objetivo: O osso temporal é frequentemente atingido por projéteis. As feridas por

projétil de arma de fogo em osso temporal devem ser exaustivamente estudadas para

estabelecer a morfologia da ferida e a distribuição de tensões. A análise de elementos

finitos é uma ferramenta promissora que pode suportar aspectos forense. Já foram

realizados estudos balísticos pela análise de elementos finitos. Entretanto, todos

envolviam somente a simulação de tecidos ósseos. Até o presente estudo, restava

desconhecido se a presença de tecidos mole neural alteraria o resultado da análise.

Material e Métodos: A segmentação de estruturas anatômicas ósseas foi realizada

através do software Materialize MIMICS Research v. 18 (Materialize - Belgium) a partir

de dados de tomografia computadorizada de feixe cônico de um crânio seco. O

modelo tridimensional de elementos finitos do crânio seco preenchido com tecido mole

neural e projétil calibre .40 S&W de ponta plana foram obtidos pelo Ansys v17.2 e

Rhinoceros. Duas situações foram simuladas no Ansys v17.2. Tiros encostados

disparados a 90 ° com e sem tecido mole neural. Resultados: Os resultados mostram

diferentes morfologias nas lesões ósseas de entrada, bem como uma forte influência

dos tecidos moles. A distribuição de tensões e a perda de energia mostraram valores

mais altos na presença de tecido neural. Houve desvio no trajeto do projétil para baixo

com tecidos neurais. Houve boa reprodutibilidade entre o comportamento real do osso

e do tecido neural e o modelo de elementos finitos construído. Conclusão: A presença

de tecido mole neural não pode ser negligenciada, pois altera os resultados.

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ABSTRACT

Aim: Temporal bone is often hit by projectiles. Temporal gunshot wounds must be

deeply evaluated in order to establish wound morphology and stress distribution. Finite

element analysis is a promising tool that can support forensic aspects. Ballistic studies

have already been performed by finite element analysis. However, all involved only the

simulation of bone tissues. Until the present study, it remained unknown whether the

presence of soft neural tissues would alter the outcome of the analysis. Material and

Methods: Segmentation of bone anatomical structures was performed in Materialize

MIMICS Research v. 18 (Materialize - Belgium) from cone beam tomography data of

a dry skull. Three-dimensional finite element model of the dry skull fulfilled with neural

soft tissue and projectile .40 S&W -caliber flat point were obtained in Ansys v17.2 and

Rhinoceros. Two situations were simulated in Ansys v17.2. Leaning shots fired at 90°

with and without neural soft tissue. Results: Results exhibit different morphologies in

entrance bony wounds as well as a strong influence of soft tissue. Von mises stress

distribution and energy loss showed higher values at the presence of neural tissue.

There was projectile deviation downwards with neural tissues. There was a good

reproducibility between bone and neural tissue real behavior and the finite element

model built. Conclusion: The presence of neural soft tissue cannot be neglected, since

it does alter results.

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LISTA DE ILUSTAÇÕES

Figure 1. STL format (a) and meshes formed by tetrahedral elements (b).

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Figure 2. Ammunition 3D geometry.

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Figure 3. 3D model of impact scenario.

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Figure 4. Sagittal view of von Mises stress distribution with neural soft tissue.

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Figure 5. Sagittal view of von Mises stress distribution without soft tissue.

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Figure 6. External bony wound morphology with (a) and without neural tissue (b).

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Figure 7. Comparison between secondary lesions with neural tissue (a) and

without (b), in a sagittal view.

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Figure 8. Comparison between projectile deviation, with (a) and without (b) neural

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LISTA DE TABELAS

Table 1. Properties of the materials used in the finite element models.

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Table 2. Results summrized comparing FEA with and without neural tissue.

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LISTA DE ABREVIATURAS E SIGLAS

CAD

-

Computer Aided Design

CBC

-

Companhia Brasileira de Cartuchos

Cu

-

Cobre

FEA

-

Finite Element Analysis

GPa

-

Gigapascal

MPa

-

Megapascal

NURBS

-

Non Uniform Rational B-Splines

Pb

-

Lead

q

-

Element quality

S&W

-

Smith and Wesson

STL

-

Stereolithographic

SD

-

Standard Deviation

Sb

-

Antimony

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SUMÁRIO

1 INTRODUÇÃO

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2 ARTIGO

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2.1 Artigo: Finite element analysis dynamic simulation of projectile impact caliber

.40 S&W in skull with neural tissue*

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3 CONCLUSÃO

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REFERÊNCIAS *

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ANEXOS

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ANEXO 1: Verificação de originalidade e prevenção de plágio

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ANEXO 2: Certificação do Comitê de Ética

33

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1 INTRODUÇÃO

A análise dinâmica de elementos finitos evoluiu, ao longo dos anos, para

modelos tridimensionais a fim de serem empregados na avaliação de acontecimentos

forenses, envolvendo, em especial disparos de arma de fogo (Huempfner-Hierl et al.,

2015; Costa et al., 2017). Diversos estudos foram realizados, tendo diferentes ossos

do crânio e região da face como alvos (Mota et al. 2003; Raul et al., 2007; Zhen et al.,

2012; Matoso et al., 2014; Pekedis e Yildiz, 2014; Costa et al., 2017; Rodrigues et al.,

2017), sendo que alguns destes estudos foram provenientes de nosso grupo de

pesquisa. Entretanto, a grande maioria dessas pesquisas trata dos efeitos da balística

interna e externa em tecidos ósseos.

Os tecidos moles possuem uma representação mais complicada que

tecidos duros, pois podem apresentar-se como não homogêneos e com propriedades

materiais plásticas e viscoelásticas não lineares (Guan et al., 2014). Há uma lacuna

do saber no que concerne à influência direta da presença de tecidos moles humanos,

como as condições clínicas e morfologia da ferida, bem como nos elementos balísticos

como a trajetória do projétil, perda de energia e velocidade.

O osso temporal é comumente alvo de projéteis de arma de fogo (Souza et

al. 2013). Feridas de arma de fogo no osso temporal apresentam um desafio referente

a motivação: homicídio ou suicídio. Parâmetros técnico científicos são essenciais para

definir a situação que levou à morte de um indivíduo. Raul et al. (2007) utilizaram a

análise de elementos finitos para auxiliar em investigações de um suicídio, com fortes

suspeitas de homicídio. Havia três ferimentos de entrada, causadas por um projétil

calibre .22, sendo um no peito (região do esterno), outro entre os olhos, no osso

frontal, e um orifício no osso temporal direito. A análise de elementos finitos foi

imprescindível para determinar a causa mortis como sendo suicídio, uma vez que o

único ferimento incompatível com a vida fora representado por aquele em que o alvo

fora o osso temporal. Os outros não lesaram estruturas vitais tampouco geraram

comorbidades cerebrais significativas.

Por conseguinte, devido à falta de dados concretos e confiáveis no que

concerne à presença de tecidos neurais, o presente estudo teve por objetivo comparar

simulações de análise dinâmica de elementos finitos, com e sem tecidos nervosos,

em que o osso temporal é alvo de projéteis de arma de fogo de calibre .40. A análise

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dos resultados das feridas de entrada e saída, com a presença de tecido mole neural

interposto levanta a hipótese nula de que os tecidos moles interferem em parâmetros

como o diâmetro da ferida, velocidade e perda de energia.

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2 ARTIGO

2.1 Artigo: Finite element analysis dynamic simulation of projectile impact

caliber .40 S&W in skull with neural tissue*

*O artigo foi submetido para apreciação no periódico internacional: International

Journal of Legal Medicine (ANEXO 3)

ABSTRACT

Aim: Temporal bone is often hit by projectiles. Temporal gunshot wounds must be deeply evaluated in order to establish wound morphology and stress distribution. Finite element analysis is a promising tool that can support forensic aspects. Ballistic studies have already been performed by finite element analysis. However, all involved only the simulation of bone tissues. Until the present study, it remained unknown whether the presence of soft neural tissues would alter the outcome of the analysis

.

Material and Methods: Three-dimensional finite element model of a dry skull fulfilled with neural soft tissue and projectile .40 S&W -caliber were obtained. Two situations were simulated. Leaning shots fired at 90° with and without neural soft tissue. Results: Results exhibit different morphologies in entrance bony wounds as well as a strong influence of soft tissue. There was a good reproducibility between bone and neural tissue real behavior and the finite element model built. Conclusion: The presence of neural soft tissue cannot be neglected, since it does alter results.

Keywords: Finite element analysis; Neural soft tissue; Projectile; Morphology; Skull Biomechanics; Temporal bom; Gunshot wounds.

INTRODUCTION

Firearm projectile target can reveal important forensic aspects. Brazilian reality evidence that the temporal bone is the second bone most affected by firearm projectiles, reaching the target in a penetrating way or inclined [1]. The angle that gun is held to the head influences crime scene reconstruction, especially when concerns differentiation between homicide and suicide [2]. Usually, slanted wounds are related to homicides. Technical scientific parameters are essential to define the situation that led to the death of an individual.

Finite element analysis has become an effective analytical tool for skull biomechanics research [3]. Finite elements analysis is favorable for mechanical parsing, due to the production of reliable results in reduced time, excellent reproducibility and low experimental costs, allowing a control of the experimental conditions [4].

The finite element analysis was used to support suicide investigations with strong suspicions of homicide [5]. There were three entry wounds, caused by a .22 caliber projectile, one in the chest (sternum region), the other between the eyes in the frontal bone, and a hole in the right temporal bone. The finite element tool was essential to determine the cause of death as suicide, since the only injury incompatible with life was represented by the one in which the target was the temporal bone. The others did not damage vital structures, nor did they generate significant cerebral comorbidities [5].

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Although finite element analysis is a promising tool, there are still some limitations to overcome. The use of soft tissues in the simulation is an obstacle, since their absence may change the results and consequently alter reproducibility [6–9]. Some discrepancies between the results and the actual conditions may be due to the methodologies frequently used in previous analyzes containing only bony tissues [10]. The interaction of the projectiles probably promotes a dissipation and absorb energy from the impact, reducing the diameter of the wound [8].

Several studies regarding bony tissues and finite element analysis were developed [3–6, 11– 18]. Nevertheless, the behavior of the neural tissue model has been controversial, with the investigation of mechanical properties of soft tissues as the brain, the focus of recent efforts [19].

It is explicit the need for a dynamic study of the injuries produced by firearm projectiles, including the presence of soft tissues, through the analysis of finite elements. The possibility to predict or simulate firearm projectiles effect on the bone structure and nervous tissues at the most diverse circumstances allows a good forensic context comprehension.

The purpose of the present study was to evaluate the hypothesis that soft tissues would change morphology, energy loss, stress distribution of the bony wound and projectile deformation, fragmentation and deviation.

MATERIALS AND METHODS

The Committee for Ethics of Research of the University of Campinas (CAAE number: 66180717.5.0000.5418) approved this study.

Samples and images acquisition

A dry skull, in good state of preservation, with morphology of the anatomical structures preserved, qualitative morphological characteristics typical of a young adult male, without macroscopic visible bone pathologies was randomly chosen, according to previously studies from our research laboratory group [12, 18]. Bone surface images of the human skull were acquired using computed tomography scans (GE HiSpeed NX/i CT scanner, General Electric, Denver, CO) at a 0.25-mm slice thickness.

The chosen ammunition was .40-caliber S&W, full metal jacket with flat point, because it is employed by state military police officers and civil police officers in Brazil. Projectile specification was acquired according to data provided by a Brazilian manufacturer of weapons and ammunition (Companhia Brasileira de Cartuchos, CBC, Ribeirão Pires, Brazil) [11]. Projectile .40-caliber has a muzzle velocity of 300 m/s, mass of 11,66 g and 524 J of kinetic energy.

Bone and neural soft tissue tridimensional model construction

Segmentation of bone anatomical structures was performed in Materialise MIMICS Research v. 18 (Materialise - Belgium) from cone beam computed tomography data. The anatomical structures of interest were segmented, forming a three-dimensional polygonal surface of the bone structure.

The space present in the intracranial cavity was filled in the segmentation to form a three-dimensional surface corresponding to the tissues of the central nervous system in this region. Neural

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soft tissue was simplified. Internal cranium anatomical structures were not distinguished. Grey and white matter, cerebellum, ventricles, corpus callosum, thalamus were considered as one homogeneous material. Neural soft tissue was considered as linear and elastic.

The surfaces (bone and neural soft tissue) were exported in stereolithographic format (STL) (Figure 1) and converted into volumetric meshes formed by tetrahedral elements using the software 3-MATIC v.10 (Materialise - Belgium).

The cranium final model with neural soft tissue presented 3,334,185 elements and 608.111 nodes, while without any soft tissue there was 638,830 and 136.514 elements and modes, respectively. Element quality (q) has the highest score at q=1. Our study revealed an excellent score set at q=0.83 (SD = + 0.1).

Figure 1. STL format (a) and meshes formed by tetrahedral elements (b).

Ammunition Model Construction

The ammunition model (.40-caliber S&W) (Figure 2) were constructed with free-form non-uniform rational B-spline (NURBS) surfaces using a reverse engineering method [4] in the 3D software Rhinoceros 5.0 (McNeel & Associates, Seattle, WA).

Figure 2. Ammunition 3D geometry.

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Simulations of projectile impact on the temporal bone were made by an explicit dynamics’ analysis through the solver AUTODYN, using the Ansys v17.2 software (ANSYS, Cannonsburg, PA, USA). All data were processed by the solver using an Intel Xeon E5-2630v3 2.40 GHz processor, 24 GB random-access memory and video card NVIDIA Quadro K2200 (2 GB memory) to perform the analysis. Materials properties used in this research were collected in Matweb and previous studies [13, 19, 20]. Data is in Table 1.

Table 1. Properties of the materials used in the finite element models. Properties Human Bone

a Neural soft tissue .40 S&W-caliber Jacket Cu b Core Pb (99%) / Sb (1%) c Young’s modulus (GPa) 14 10 115 14 Poisson’s ratio 0,3 0.45 0.3 0.38 Shear modulus (GPa) 5.3846 3.4 46 8,6

Bulk modulus (GPa) 11,667 3.3 129 - Density (Kg/m3) 1850 1041 8960 11340 Specific heat (J/Kg.uC) 440 - 383 124

Tensile Stress failure (GPa)** 0.133 - - - Shear Stress failure(GPa) ** 0.067 - - - a Wroe et al [20].

b Copper (Cu) alloy UNSC23000 [11]

c 99%Lead (Pb)/1%Antimony (Sb) alloy UNSL52605 [11]. d Copper (Cu) alloy UNSC22000 [11]

**MatWebDatabase.

Two simulations for .40-caliber S&W ammunition was performed (Figure 3): (i) Shot was fired with gun barrel leaning on temporal bone area at 90°; (ii) Shot was fired with gun barrel backboard on temporal bone area at 90° and cranium filled with neural soft tissue. In order to get precision, tetrahedral elements of the target area were reduced, refining mesh at this zone. Only gravity was specified. Effects caused by air resistance, yaw, precession, and nutation were not considered because of the backboard shooting [11, 12]. In one of the simulations, skull cavity was filled with tissue with brain properties.

Boundary conditions were settled along three axes (x,y,z) in the occipital condyles area, at the joint of the first cervical vertebra and at regions of insertion of the cervical muscles, in occipital bone and mastoid process [18, 21]. These conditions provide skull stability under in vivo conditions; hence it was simulated in the present study.

Analysis of Results

Results were analyzed according to von Mises stress distribution, kinetic energy dissipated, bony wound morphology and projectile deformation, fragmentation and deviation.

Von Mises stress distribution was evaluated in MegaPascal (MPa), whose values will be distributed in color intervals in a scale configured by Ansys v17.2 (CA, Pennsylvania, USA).

The Ansys v17.2 software was also used for the simulation that provided impact velocity and residual velocity, meaning that pre- and post-collision kinetic energy were calculated to investigate the degree of damage, in both simulations. The difference between post kinetic energy and pre kinetic energy provides estimation on wounding capacity and damage efficiency [12, 18].

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Finite element tridimensional model of temporal bony wound morphology, with neural tissue, was evaluated through Image J software (National Institute of Health – NIH, USA). Measurements consisted of maximum diameter as well as total area [18]. Measurements accuracy were calculated using the intra-class coefficient (ICC) on Bioestat 5.3 software (Instituto Mamirauá, Brazil) [18].

Figure 3. 3D model of impact scenario.

RESULTS

Results comparing FEA with and without neural tissue are summarized in table 2, and then explained according to each parameter analyzed.

Table 2. Results summrized comparing FEA with and without neural tissue.

Parameter FEA without neural tissue FEA without neural tissue Von Mises stress

distribution

Higher stress distribution at the left orbit, some regions of zygomatic arch, maxilla, front-zygomatic suture, sphenoid lesser wing and Sella turcica

Smaller values of stress distribution at the left orbit, some regions of zygomatic arch, maxilla, front-zygomatic suture, sphenoid lesser wing and Sella turcica

Energy loss 194,465.5 J: Higher values 50,955.46 J: smaller values Bony wound

morphology

Larger wounds and the presence of secondary wounds at the superior wall of the orbit at the left side

Smaller wounds and no secondary wounds

Projectile deformation Larger deformations Smaller deformations Projectile

fragmentation

No projectile fragmentation No projectile fragmentation

Projectile track deviation

Projectile track deviation downwards

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Von Mises stress distribution

Around the ballistic impact area on temporal bone, higher stress distribution was observed. High values were also found in the left orbit and some regions of zygomatic arch, maxilla and front-zygomatic suture. In addition, sphenoid lesser wing and Sella turcica region also exhibited higher values of von Mises stress.

Von Mises stress distribution was higher at the presence of neural soft tissue around the ballistic impact area (Figure 4). Without soft tissue von Mises stress distribution was more scattered (Figure 5).

Figure 4. Sagittal view of von Mises stress distribution with neural soft tissue.

Figure 5. Sagittal view of von Mises stress distribution without soft tissue.

Energy loss

Energy loss of projectile, calculated through the difference between pre and post collision, using impact and residual velocity, with and without neural soft tissue was, respectively, 194,465.5 J and 50,955.46 J. In other words, the projectile had lost 37.06% of total kinetic energy in the presence of neural soft tissue, whilst without soft tissue, the lost was only 9,9%.

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Bony wound morphology produced by a .40-caliber S&W fired perpendicular on temporal bone with neural soft tissue presented a round aspect with a maximum diameter of 22.38 mm and total area of 250.49 mm2. The same situation but simulated without neural soft tissue presented a more regular round shape with a maximum diameter of 19.48 mm and total area of 227.92 mm2 (Figure 6). Maximum diameter and total area got excellent intraclass correlation (ICC=0.9, p˂0.0001)

Figure 6. External bony wound morphology with (a) and without neural tissue (b).

Secondary wounds could be observed at the superior wall of the orbit at the left side (entrance wound) when neural soft tissue is present (Figure 7).

The external surface of the temporal bone presented a surface area that was larger than the internal one, creating an internal beveling, in both simulations. Therefore, there was greater internal diploe bone destruction.

Figure 7. Comparison between secondary lesions with neural tissue (a) and without (b), in a sagittal view.

Deformation, fragmentation and deviation

The presence of neural soft tissue led to an extensive deformation of the projectile tip. But at any circumstances there was not a projectile fragmentation nor metal jacket detachment.

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After entrance wound generation, .40 S&W–caliber described a different trajectory in both situations. At the absence of neural soft tissue, projectile trajectory was linear. On the other hand, projectile trajectory bent over towards the cranial cavity floor, when neural tissue was present (Figure 8).

Figure 8. Comparison between projectile deviation, with (a) and without (b) neural tissue, in a coronal view.

DISCUSSION

Gunshot wounds can reveal much about crime scene circumstances. Since finite element analysis is biomechanical tool, computed simulation may rebuild some shooting aspects [14], as distance, angulation and direction [11].

Our group research [11, 12, 18], used the finite element analysis for simulation to study the bony morphology and stress distribution in gunshot wounds for forensic purposes. There are some issues that must be overcome in order to approach simulation to reality. Nowadays, the presence of soft tissues is an obstacle. Besides, there is no pattern regarding on which soft tissue must be represented on simulation. Studies have been made using finite element models with different types of soft tissue, such as cerebrum with grey matter, white matter and ventricles [14]; ballistic gelatin [22]; brain tissue [19]; skin, cerebrum, cerebellum, lateral ventricles, corpus callosum, thalamus and brainstem [23]; layer of skin and muscle [21] and scalp [24]. The present study considered all neural soft tissue as a homogeneous material.

Neural soft tissue role in gunshot wound is unsettled. The presence of soft tissues might play a dissipative role and absorb some of the energy from the impact. Energy absorption can lead to a wound dimeter reduction [10]. On the contrary of what was presumed by Stefanopoulos (2013) [10], in our research, the presence of neural soft tissue led to entrance wounds with greater diameter. But this difference was not significant visually. Parallelly, a head to head accidental with a skin and muscle layer impact was simulated [21]. Data disclose that the presence of soft tissue (skin and muscle) did not play a decisive role, suggesting that soft tissue can be neglected on simulation, since does not differ on

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results [21]. Our results demonstrated that the presence of neural soft tissue does matters, not at entrance gunshot wound diameter, but at other issues, such as von Mises stress distribution, energy loss and projectile deformation, deviation and fragmentation. Simultaneously, larger secondary lesions appeared at the superior wall of the orbit. In addition, von Mises stress distribution also presented higher values at left sphenoid lesser wing and Sella turcica region.

The greater entrance wound diameter at the presence of neural soft tissue could be explained by forces that came from projectile impact at the bony tissue absorbed by neural tissue. The presence of neural tissue filling cranial cavity might exhibited reverse force vectors that react with the inner diploe against the forces originated from the projectile, therefore increasing the external beveling surface of the entrance wound. The same explanation can be applied to the secondary wounds at the superior wall of the orbit, since the absorbed forces was dissipated to closer structures. Hence, the amount of neural soft tissue that was presented below the projectile trajectory was thinner than the superior one, the resulted force distribution was stronger downwards.

Higher values of von Mises stress distribution in the presence of neural soft tissue at anterior cranial fossa and middle cranial fossa could be used to explain causa mortis and wound damage degree. Sphenoid lesser wing and Sella turcica regions are the bony floor of noble and vital structures. Concerning blood supply, there are cavernous sinus and the circle of Willis. The first, second and third cranial nerves, known respectively as olfactory, optic and oculomotor nerves could also be seriously damaged.

Inner beveling is a typical sign of gunshot entrance wounds [7]. Our results recreated the typical beveling morphology, establishing a good parameter between bone real behavior and the virtual one, represented by finite element analysis.

Full metal jacket projectiles are less susceptible to fragmentation. Thereafter, we considered that changes in the mass of the projectile were negligible when calculating energy loss. Although there was no fragmentation, there was a big projectile deformation. Ammunition .40 - caliber S&W flat point has a larger bone surface contact, leading to a greater energy loss. The presence of neural soft tissue increased the final amount of energy loss, therefore, more deformation occurred.

Neural soft tissue also influenced projectile trajectory. Entrance wound at temporal bone is closer to cranial cavity floor than to inner cranial roof, formed by parietal and frontal bones. Therefore, there was a greater amount of neural soft tissue above, deflecting projectile downwards. This phenomenon could also explain the extensive secondary lesions at superior wall of the orbit and higher von Mises stress at left sphenoid lesser wing and Sella turcica region. Besides, this trajectory deflection could also modify the position of the exit wound.

CONCLUSION

The presence of neural soft tissue in the cranium displayed a difference in gunshot simulation regarding energy loss, stress distribution, projectile deformation, fragmentation and deviation. Thus, for forensic purposes, the presence of neural soft tissue cannot be neglected. Clinical implications must be studied separately.

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COMPLIANCE WITH ETHICAL STANDARDS

Disclosure of potential conflicts of interest

Funding: The first author (Costa, ST) was funded by National Council for Scientific and Technological Development -CNPq (grant number 140976/2016-2017)

Conflicts of interests: The authors declare that they have no conflict of interest

Research involving human participants

Ethical approval: All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee (The Committee for Ethics of Research of the University of Campinas - CAAE number: 66180717.5.0000.5418) and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.”

Informed consent

Informed consent was not obtained, since the images from skull included in the study is in Anatomy Laboratory for decades. It was not possible to reach relatives as well.

REFERENCES

1. Souza RB de, Todeschini AB, Veiga JCE, et al (2013) Traumatismo cranioencefálico por projétil de arma de fogo: experiência de 16 anos do serviço de neurocirurgia da Santa Casa de São Paulo. Rev Col Bras Cir 40:300–304. https://doi.org/10.1590/s0100-69912013000400008 2. Hejna P, Šafr M, Zátopková L, Straka L (2012) Complex suicide with black powder muzzle

loading derringer. Forensic Sci Med Pathol 19:296–300. https://doi.org/10.1007/s12024-011-9304-z

3. Tang Z, Tu W, Zhang G, et al (2012) Dynamic simulation and preliminary finite element analysis of gunshot wounds to the human mandible. Injury 43:660–665. https://doi.org/10.1016/j.injury.2011.03.012

4. Lei T, Xie L, Tu W, et al (2012) Blast injuries to the human mandible: Development of a finite element model and a preliminary finite element analysis. Injury 43:1850–1855. https://doi.org/10.1016/j.injury.2012.07.187

5. Raul JS, Deck C, Meyer F, et al (2007) A finite element model investigation of gunshot injury. Int J Legal Med 121:143–146. https://doi.org/10.1007/s00414-005-0070-x

6. Zhen T, Zhonghua Z, Gang Z, et al (2012) Establishment of a three-dimensional finite element model for gunshot wounds to the human mandible. J Med Coll PLA 27:87–100. https://doi.org/10.1016/S1000-1948(12)60010-0

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8. Mota A, Klug WS, Ortiz M, Pandolfi A (2003) Finite-element simulation of firearm injury to the human cranium. Comput Mech 31:115–121. https://doi.org/10.1007/s00466-002-0398-8

9. Pintar FA, Kumaresan S, Stemper B, et al (2000) Finite element modeling of penetrating traumatic brain injuries

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10. Stefanopoulos PK (2013) Comment on “Dynamic simulation and preliminary finite element analysis of gunshot wounds to the human mandible”. Injury 44:1658. https://doi.org/10.1016/j.injury.2013.02.005

11. Costa ST, Freire AR, Matoso RI, et al (2017) Computational Approach to Identify Different Injuries by Firearms. J Forensic Sci 62:361–368. https://doi.org/10.1111/1556-4029.13387 12. Matoso RI, Freire AR, De Mello Santos LS, et al (2014) Comparison of gunshot entrance

morphologies caused by.40-caliber Smith & Wesson,.380-caliber, and 9-mm Luger bullets: A finite element analysis study. PLoS One 9:. https://doi.org/10.1371/journal.pone.0111192 13. Li ZD, Zou D-H, Liu N-G, et al (2010) The finite element modeling of human pelvis and its

application in medicolegal expertise. Fa Yi Xue Za Zhi 26:406–412

14. Tse KM, Long Bin T, Jin Lee S, et al (2014) Development and validation of two subject-specific finite element models of human head against three cadaveric experiments

15. Raul JS, Deck C, Willinger R, Ludes B (2008) Finite-element models of the human head and their applications in forensic practice. Int. J. Legal Med. 122:359–366

16. Roth S, Raul JS, Ludes B, Willinger R (2007) Finite element analysis of impact and shaking inflicted to a child. Int J Legal Med 121:223–228. https://doi.org/10.1007/s00414-006-0129-3 17. Raul JS, Baumgartner D, Willinger R, Ludes B (2006) Finite element modelling of human head

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18. Rodrigues LL, Costa ST, Rossi AC, et al (2017) Computational simulation of projectile injuries to human parietal bone using finite element analysis. Aust J Forensic Sci 1–9. https://doi.org/10.1080/00450618.2017.1416173

19. Saberi H, Seddighi AS, Farmanzad F (2007) Finite element analysis of an elastic model of the brain: Distortion due to acute epidural hematoma - The role of the intra-ventricular pressure gradient. Comput Aided Surg 12:131–136. https://doi.org/10.1080/10929080701294828

20. Wroe S, Ferrara TL, McHenry CR, et al (2010) The craniomandibular mechanics of being human. Proc R Soc B Biol Sci 277:3579–3586. https://doi.org/10.1098/rspb.2010.0509

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22. Wang Y, Shi X, Chen A, Xu C (2015) The experimental and numerical investigation of pistol bullet penetrating soft tissue simulant. Forensic Sci Int 249:271–279. https://doi.org/10.1016/j.forsciint.2015.02.013

23. Mao H, Zhang L, Jiang B, et al (2013) Development of a Finite Element Human Head Model Partially Validated With Thirty Five Experimental Cases. J Biomech Eng 135:111002. https://doi.org/10.1115/1.4025101

24. Guan Q, Du X, Shao Y, et al (2014) Three-Dimensional Simulation of Scalp Soft Tissue Expansion Using Finite Element Method. Comput Math Methods Med 2014:1–9. https://doi.org/10.1155/2014/360981

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FIGURE CAPTIONS

Fig 1 STL format (a) and meshes formed by tetrahedral elements (b) Fig 2 Ammunition 3D geometry

Fig 3 3D model of impact scenario

Fig 4 Sagittal view of von Mises stress distribution with neural soft tissue Fig 5 Sagittal view of von Mises stress distribution without soft tissue

Fig 6 External bony wound morphology with (a) and without neural tissue (b)

Fig 7 Comparison between secondary lesions with neural tissue (a) and without (b), in a sagittal view Fig 8 Comparison between projectile deviation, with (a) and without (b) neural tissue, in a coronal view

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3 CONCLUSÃO

Os estudos realizados permitem concluir que:

• A presença de tecidos nervosos altera a distribuição das tensões de von

Mises no osso, bem como a perda de energia, deformação, fragmentação e desvio do

trajeto do projétil;

• Houve uma boa reprodutibilidade entre o comportamento real do tecido

nervoso, tecido ósseo e o modelo de elementos finitos construído, no que diz respeito

aos aspectos morfológicos;

• Para estudos de finalidade forense, a presença do tecido nervoso não

pode ser negligenciada, embora as implicações clínicas devam ser estudadas

separadamente.

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29

* De acordo com as normas da UNICAMP/FOP, baseadas na padronização do

International Committee of Medical Journal Editors

– Vancouver Group. Abreviatura

dos periódicos em conformidade com o Pubmed.

REFERÊNCIAS *

[1]

R. B. de Souza, A. B. Todeschini, J. C. E. Veiga, N. Saade, and G. B. de Aguiar,

“Traumatismo cranioencefálico por projétil de arma de fogo: experiência de 16

anos do serviço de neurocirurgia da Santa Casa de São Paulo,” Rev. Col. Bras.

Cir., vol. 40, no. 4, pp. 300

–304, 2013.

[2]

P. Hejna, M. Šafr, L. Zátopková, and L. Straka, “Complex suicide with black

powder muzzle loading derringer,” Forensic Sci. Med. Pathol., vol. 19, no. 1, pp.

296–300, 2012.

[3]

Z. Tang, W. Tu, G. Zhang, Y. Chen, T. Lei, and Y. Tan, “Dynamic simulation and

preliminary finite element analysis of gunshot wounds to the human mandible,”

Injury, vol. 43, no. 5, pp. 660

–665, May 2012.

[4]

T. Lei, L. Xie, W. Tu, Y. Chen, Z. Tang, and Y. Tan, “Blast injuries to the human

mandible: Development of a finite element model and a preliminary finite element

analysis,” Injury, vol. 43, no. 11, pp. 1850–1855, Nov. 2012.

[5]

J. S. Raul, C. Deck, F. Meyer, A. Geraut, R. Willinger, and B. Ludes, “A finite

element model investigation of gunshot injury,” Int. J. Legal Med., vol. 121, no.

2, pp. 143–146, Mar. 2007.

[6]

T. Zhen, Z. Zhonghua, Z. Gang, C. Yubin, L. Tao, and T. Yinghui, “Establishment

of a three-dimensional finite element model for gunshot wounds to the human

mandible,” J. Med. Coll. PLA, vol. 27, no. 2, pp. 87–100, Apr. 2012.

[7]

Y. Chen, Y. Miao, C. Xu, G. Zhang, T. Lei, and Y. Tan, “Wound ballistics of the

pig mandibular angle: A preliminary finite element analysis and experimental

study,” J. Biomech., vol. 43, no. 6, pp. 1131–1137, Apr. 2010.

[8]

A. Mota, W. S. Klug, M. Ortiz, and A. Pandolfi, “Finite-element simulation of

firearm injury to the human cranium,” Comput. Mech., vol. 31, no. 1-2 SPEC.,

pp. 115–121, 2003.

[9]

F. A. Pintar, S. Kumaresan, B. Stemper, N. Yoganandan, and T. Gennarelli,

Finite element modeling of penetrating traumatic brain injuries, vol. 48. 2000.

[10]

P. K. Stefanopoulos, “Comment on ‘Dynamic simulation and preliminary finite

element analysis of gunshot wounds to the human mandible’.,” Injury, vol. 44,

(30)

30

* De acordo com as normas da UNICAMP/FOP, baseadas na padronização do

International Committee of Medical Journal Editors

– Vancouver Group. Abreviatura

dos periódicos em conformidade com o Pubmed.

no. 11, p. 1658, Nov. 2013.

[11] Z. D. Li, D.-H. Zou, N.-G. Liu, P. Huang, and Y. J. Chen, “The finite element

modeling of human pelvis and its application in medicolegal expertise,” Fa Yi

Xue Za Zhi, vol. 26, no. 6, pp. 406

–412, 2010.

[12] K. M. Tse, T. Long Bin, S. Jin Lee, S. Piang Lim, and H. Lee, Development and

validation of two subject-specific finite element models of human head against

three cadaveric experiments, vol. 30. 2014.

[13] J. S. Raul, C. Deck, R. Willinger, and B. Ludes, “Finite-element models of the

human head and their applications in forensic practice,” International Journal of

Legal Medicine, vol. 122, no. 5. pp. 359

–366, Sep-2008.

[14]

S. Roth, J. S. Raul, B. Ludes, and R. Willinger, “Finite element analysis of impact

and shaking inflicted to a child,” Int. J. Legal Med., vol. 121, no. 3, pp. 223–228,

May 2007.

[15]

J. S. Raul, D. Baumgartner, R. Willinger, and B. Ludes, “Finite element modelling

of human head injuries caused by a fall,” Int. J. Legal Med., vol. 120, no. 4, pp.

212–218, Jul. 2006.

[16] L. L. Rodrigues, S. T. Costa, A. C. Rossi, E. Daruge Júnior, F. B. Prado, and A.

R. Freire, “Computational simulation of projectile injuries to human parietal bone

using finite element analysis,” Aust. J. Forensic Sci., pp. 1–9, Jul. 2017.

[17] S. T. Costa, A. R. Freire, R. I. Matoso, E. Daruge Júnior, A. C. Rossi, and F. B.

Prado, “Computational Approach to Identify Different Injuries by Firearms,” J.

Forensic Sci., vol. 62, no. 2, pp. 361

–368, Mar. 2017.

[18] R. I. Matoso, A. R. Freire, L. S. De Mello Santos, E. D. Junior, A. C. Rossi, and

F. B. Prado, “Comparison of gunshot entrance morphologies caused

by.40-caliber Smith & Wesson,.380-by.40-caliber, and 9-mm Luger bullets: A finite element

analysis study,” PLoS One, vol. 9, no. 10, Oct. 2014.

[19]

H. Saberi, A. S. Seddighi, and F. Farmanzad, “Finite element analysis of an

elastic model of the brain: Distortion due to acute epidural hematoma - The role

of the intra-ventricular pressure gradient,” Comput. Aided Surg., vol. 12, no. 2,

pp. 131–136, 2007.

[20]

S. Wroe, T. L. Ferrara, C. R. McHenry, D. Curnoe, and U. Chamoli, “The

craniomandibular mechanics of being human,” Proc. R. Soc. B Biol. Sci., vol.

(31)

31

* De acordo com as normas da UNICAMP/FOP, baseadas na padronização do

International Committee of Medical Journal Editors

– Vancouver Group. Abreviatura

dos periódicos em conformidade com o Pubmed.

277, no. 1700, pp. 3579–3586, Dec. 2010.

[21] H. Huempfner-Hierl, A. Bohne, A. Schaller, G. Wollny, and T. Hierl, “Does facial

soft tissue protect against zygomatic fractures? Results of a finite element

analysis,” Head Face Med., vol. 11, no. 1, pp. 1–8, 2015.

[22]

Y. Wang, X. Shi, A. Chen, and C. Xu, “The experimental and numerical

investigation of pistol bullet penetrating soft tissue simulant,” Forensic Sci. Int.,

vol. 249, pp. 271–279, 2015.

[23] H. Mao et al., “Development of a Finite Element Human Head Model Partially

Validated With Thirty Five Experimental Cases,” J. Biomech. Eng., vol. 135, no.

11, p. 111002, 2013.

[24]

Q. Guan, X. Du, Y. Shao, L. Lin, and S. Chen, “Three-Dimensional Simulation of

Scalp Soft Tissue Expansion Using Finite Element Method,” Comput. Math.

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32

ANEXOS

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