Thin layer chromatography quantitative analysis on gallic acid in Galla Chinensis based on image analysis technology / 国际中医中药杂志

Objectives:To discuss the feasibility of Image J in quantitative analysis on thin layer chromatography (TLC) using gallic acid in Galla Chinensis as research object.Methods:Silica gel GF 254 thin-layer plate was used with chloroform-ethyl formate-formic acid (5:5:1) as the developing solvent and the images were taken under ultraviolet light (254 nm). Polyamide film was used with 75% ethanol-glacial acetic acid (50:1) as the developing solvent and 1% ferric chloride ethanol solution as the chromogenic reagent, and the images were taken under sunlight. Images obtained from the above conditions were imported into Image J to analyze and calculate the content of gallic acid in Galla Chinensis by using external standard two-point method. High-performance liquid chromatography (HPLC) was used with a mobile phase of methanol-0.1% phosphoric acid solution (15:85) at a wavelength of 273 nm to determine the gallic acid content in Galla Chinensis. Results:The quantitation limit of gallic acid on silica gel GF 254 thin-layer plate was 0.401 6 μg, the linear range was 2.855 - 9.515 μg ( r2 = 0.996 0), and the average recovery was 105.12% ( RSD=3.48%); the quantitation limit of gallic acid on polyamide film was 0.363 4 μg, the linear range was 1.427 - 4.758 μg ( r2 = 0.991 5), and the average recovery was 103.75% ( RSD=4.60%). The HPLC method had a quantitative limit of 4.42 ng, a linear range of 0.122-0.977 μg ( r2 = 0.999 9), and a recovery rate of 98.30% ( RSD = 1.40%). The accuracy, repeatability and stability of RSD were all <5%. The gallic acid content measured using Image J showed a maximum relative error of 9.30% and a minimum of 1.62% compared to the HPLC results. Conclusions:Image J is feasible for quantitative analysis of TLC and can be used as a complementary method for quality control of Chinese materia medica.

Research progress of artificial intelligence imaging analysis technology in pediatric infectious pneumonia / 中华实用儿科临床杂志

Children′s bronchial lumen is relatively narrow, pulmonary interstitial development is superior to elastic tissue, and ciliary clearance is weak, which makes children more prone to pulmonary infection and pneumonia.The development of artificial intelligence (AI) and its application in medicine is changing the traditional disease diagnosis, assessment and treatment.AI with deep learning as the core is increasingly used in the diagnosis and prognosis evaluation of pneumonia in children, which is conducive to the early diagnosis and accurate assessment of the disease.In addition to novel coronavirus pneumonia and acute respiratory distress syndrome, researchers rarely pay attention to other viral pneumonia, bacterial pneumonia, mycoplasmal pneumonia, and fungal pneumonia.Meanwhile, there are still problems, such as small datasets, small sample sizes, incomplete algorithms, and little attention paid to pneumonia types and subtypes.In the future, a large-sample dataset of children′s pulmonary infections should be established, and learning about AI should be promoted among medical students and medical staff, so as to explore the value of AI in children′s pulmonary infection and play its auxiliary role in clinical decision-making related to diagnosis and treatment.

Opinion on the development and research status of intelligent ophthalmology in China / 国际眼科杂志(Guoji Yanke Zazhi)

This paper provides a comprehensive analysis of the current state of intelligent ophthalmology in China, including technological advancements, academic exchange platforms, policy support, future challenges, and potential solutions. Technologically, remarkable progress have been made in various areas of intelligent ophthalmology in China, including diabetic retinopathy, fundus image analysis, and crucial aspects such as quality assessment of medical artificial intelligence products, clinical research methods, technological evaluation, and industrial standards. Researchers are constantly improving the safety and standardization of intelligent ophthalmology technology by formulating clinical application guidelines and standards. Academic exchange platforms have been established to provide extensive collaboration opportunities for professionals across diverse fields, and various academic journals serve as publication platforms for intelligent ophthalmology research. Regarding public policy, the Chinese government has not only established a supportive policy environment for the advancement of intelligent ophthalmology through various documents and regulations, but provided a legal basis and management framework. However, there are still challenges to overcome, such as technological innovation, data privacy and security, outdated regulations, and talent shortages. To tackle these issues, there is a requirement for increased technological research and development, the establishment of regulatory frameworks, talent cultivation, and greater awareness and acceptance of new technologies among patients. By comprehensively addressing these challenges, intelligent ophthalmology in China is expected to continue leading the industry's global development, bringing more innovation and convenience to the field of ophthalmic healthcare.

Application status of artificial intelligence techniques in retinoblastoma / 国际眼科杂志(Guoji Yanke Zazhi)

Retinoblastoma is a kind of malignant eye tumor commonly seen in children, which is one of the main causes threatening children's vision and life. The diagnosis and evaluation of retinoblastoma has always been a hot topic in clinic. In the past few years, the application of artificial intelligence(AI)technology has made significant progress in the medical field, providing new opportunities and challenges for the diagnosis and treatment of retinoblastoma, for example, the use of AI algorithms to analyze massive clinical data, which can help doctors diagnose the disease more accurately and provide personalized treatment plans. In addition, AI technology also plays an important role in medical image analysis, genomics research and other aspects, which can help the development of new drugs and improve patient prognosis. This article reviews the application progress of AI in retinoblastoma.

Study on generation of high energy images from low energy CBCT images based on U-Net model / 中华放射医学与防护杂志

Objective:To investigate the conversion of low-energy CBCT images into high-energy CBCT images in clinical radiotherapy based on the deep learning method of U-Net network, in order to provide dual-energy CBCT images and reduce radiation dose.Methods:The CBCT image data of CIRS electron density phantom and CIRS head phantom at 80 and 140 kV were collected by the on-board CBCT in radiotherapy equipment. The dataset was divided into training set and test set according to 10∶1. The U-Net network was used to predict CBCT images at high energy (140 kV) from low-energy (80 kV) CBCT images. Four parameters, including mean absolute error (MAE), structural similarity index (SSIM), signal-to-noise ratio (SNR) and peak signal-to-noise ratio (PSNR) were used to quantitatively evaluate predicted high-energy CBCT images.Results:The overall structural difference between the predicted high-energy image and the real high-energy image was smaller (SSIM: 0.993 ±0.003). The noise of predicted high-energy image was lower (SNR: 15.33±4.06), but there was a loss of inter-tissue resolution. Predicted high-energy images had slightly lower average CT values than real high-energy images, with less difference in low-density tissues (<10 HU, P > 0.05) and greater differences in high-density tissues (<21 HU, t = -7.92, P < 0.05). Conclusions:High-energy CBCT images with high structural similarity can be obtained from energy CBCT images by using deep learning method. The predicted high energy CBCT images have the potential to be applied to clinical dual-energy CBCT imaging technology in radiotherapy.

Research progress on the application of artificial intelligence in the screening and treatment of retinopathy of prematurity / 中华眼底病杂志

Retinopathy of prematurity (ROP) is a major cause of vision loss and blindness among premature infants. Timely screening, diagnosis, and intervention can effectively prevent the deterioration of ROP. However, there are several challenges in ROP diagnosis globally, including high subjectivity, low screening efficiency, regional disparities in screening coverage, and severe shortage of pediatric ophthalmologists. The application of artificial intelligence (AI) as an assistive tool for diagnosis or an automated method for ROP diagnosis can improve the efficiency and objectivity of ROP diagnosis, expand screening coverage, and enable automated screening and quantified diagnostic results. In the global environment that emphasizes the development and application of medical imaging AI, developing more accurate diagnostic networks, exploring more effective AI-assisted diagnosis methods, and enhancing the interpretability of AI-assisted diagnosis, can accelerate the improvement of AI policies of ROP and the implementation of AI products, promoting the development of ROP diagnosis and treatment.

Representações sócio-históricas de uma doença: um estudo sobre cartazes de campanhas para o combate à hanseníase na segunda metade do século XX / Socio-historical representations of a disease: a study of posters from campaigns against Hansen's disease during the second half of the twentieth century

Resumo Este artigo analisa o uso de fontes iconográficas no contexto das campanhas educativas para o combate à hanseníase numa perspectiva sócio-histórica em quatro momentos: décadas de 1950, 1960, 1980 e 1990. São analisados quatro cartazes para identificar os elementos (textuais, visuais ou gráficos) utilizados para elaborar um discurso sobre a doença e os doentes; suas transformações discursivas e permanências, além de verificar como se tornaram parte de uma narrativa de memória institucional ligada à saúde pública paulista. As fontes estudadas fazem parte da coleção Cartazes de Campanhas de Saúde, cujos itens foram produzidos por diversas instituições ligadas à saúde pública e integram o acervo do Museu de Saúde Pública Emílio Ribas.

Abstract This article analyzes the use of iconographic sources in the context of educational campaigns to combat Hansen's disease from a socio-historical perspective at four points in time: the 1950s, 1960s, 1980s, and 1990s. Four posters are analyzed to identify the elements (textual, visual or graphic) used to develop discourse on this disease and those it affected and transformations and permanences in this discourse, as well as to verify how they became part of a narrative of institutional memory linked to public health in the state of São Paulo. These were produced by various public health institutions and are part of the Health Campaign Poster Collection held by the Emílio Ribas Public Health Museum.

A semi-automated microscopic image analysis method for scoring Ki-67 nuclear immunostaining

Nuclear proliferation marker MIB-1 (Ki-67) immunohistochemistry (IHC) is used to examine tumor cell proliferation. However, the diagnostic or prognostic value of the Ki-67 nuclear staining intensity and location, defined as nuclear gradient (NG), has not been assessed. This study examined the potential association between Ki-67 NG and cell cycle phases and its effect on the prognosis of pulmonary typical carcinoid (PTC) tumors. We propose a method for classifying the NG of Ki-67 during the cell cycle and compare the results between PTC, pulmonary adenocarcinoma (PAD), and breast ductal carcinoma (BDC). A literature review and objective analysis of IHC-stained paraffin sections were used to determine the Ki-67 labeling index and composed a stratification of the NG into NG1, NG2, and NG3/4 categories. A semi-automated image analysis protocol was established to determine the Ki-67 NG in PTC, PAD, and BDC. High intraobserver consistency and moderate interobserver agreement were achieved in the determination of Ki-67 NG in tumor specimens. NG1 and NG2 were lower in PTC than in PAD and BDC. Cox multivariate analysis of PTC after adjusting for age and number of metastatic lymph nodes showed that Ki-67 NG1 and NG2 significantly predicted clinical outcomes. The semi-automated method for quantification of Ki-67 nuclear immunostaining proposed in this study could become a valuable diagnostic and prognostic tool in PTC.

Metodología para la evaluación automatizada de la expresión del receptor de vitamina D mediante técnica inmunocitoquímica / Methodology of automated Vitamin D receptor immunocytochemical expression análisis

Introducción: la citología permite examinar células de un tejido de manera mínimamente invasiva, sin embargo, la capacidad de realizar técnicas complementarias como la inmunocitoquímica (ICQ) no está exenta de dificultades. Es el objetivo de nuestro trabajo presentar una metodología que permita la utilización de ICQ automatizada asociada a un análisis automatizado mediante técnica de patología digital. Métodos: se incluyeron 5 sujetos sanos y se obtuvieron muestras de superficie ocular utilizando un citocepillo. La muestra fue procesada de manera automatizada mediante citología en fase líquida. Posteriormente se realizó ICQ automatizada para detectar la positividad nuclear del receptor de vitamina D. Para la evaluación, se utilizaron dos métodos: cuantificación directa bajo microscopio de luz y análisis automatizado usando analizador de imágenes en las diapositivas digitales obtenidas con un Scanner. El porcentaje de positividad encontrado con ambos métodos fueron comparados utilizando la prueba de Kappa. Resultados: todas las muestras presentaron una celularidad adecuada. En todos los casos fue posible realizar ICQ automatizada, más aún, todas las muestras presentaron una calidad óptima. Al comparar ambos métodos (manual versus automatizado) se observó un nivel de acuerdo sustancial (Kappa=0,69). Conclusiones: la metodología presentada en este manuscrito permite la evaluación automatizada de marcadores inmunohistoquímicos de la superficie ocular de manera mínimamente invasiva, siendo similar al conteo manual, pero más objetivo y reproducible. Esta técnica podría ser útil para el estudio proteómico en patologías como la enfermedad por ojo seco.

Introduction: Cytology tests use small amounts of tissue samples for diagnosis as a minimally invasive technique; however, the ability to perform complementary methods such as immunocytochemistry (ICC) is not without difficulties. The aim of our work is to present a method that allows the use of automated ICC associated with an automated image analysis using digital pathology. Methods: Five healthy subjects were included, and ocular surface samples were obtained using a cytobrush. The sample was processed as liquid-based cytology. Automated ICC was subsequently performed to detect vitamin D receptor nuclear positivity. Two methods were used for evaluation: manual counting under a light microscope and automated analysis using an image analyzer on digitized slides. The percentage of positivity found in both methods was compared using the Kappa test. Results: All samples presented adequate cellularity. In all cases, it was possible to perform automated ICC; moreover, all samples presented optimal quality. When comparing both methods (manual versus automated), a substantial level of agreement was seen (Kappa=0.69). Conclusions. The method presented in this manuscript allows the minimally invasive automated evaluation of ocular surface ICC markers, being like manual counting but more objective and reproducible. This technique could be useful for proteomic study in pathologies such as dry eye disease.

Evaluation of the physiological potential of Panicum maximum seeds by multivariate analysis

The aim of this work was to identify efficient vigor tests for differentiating the seed lots, forecasting seedling emergence in the field and assessing the physiological quality of Panicum maximum seeds. 12 seed lots from the cultivar Tanzania and 11 seed lots from the cultivar Massai were evaluated for water content, germination, first count and germination speed index, emergence and first emergence count of seedlings in sand, root length and shoot length, analysis of SVIS® images (seedling length, vigor and uniformity index) and seedling emergence in the field. The work was conducted in a completely randomized design for tests performed in the laboratory and in randomized blocks for tests in the field. The data were subjected to analysis of variance and the means compared by Scott Knott's test at 5% probability and statistical multivariate clustering analysis and principal components analysis. The shoot and root length tests are efficient for the evaluation of the physiological potential of P. maximum cv. Massai, while the seedling length, vigor index and growth uniformity index tests using image analysis, seedling emergence in sand and first seedling emergence count in sand are efficient in assessing the physiological potential of seeds of P. maximum cv. Tanzania, and providing information similar to that of seedling emergence in the field.

Expanding the analysis of optical coherence tomography images / 中华眼底病杂志

Optical coherence tomography (OCT), as a high-resolution, non-invasive, in-vivo image method has been widely used in retinal field, especially in the examination of fundus diseases. Nowadays, the modality has been gradually popularized in most of the national basic-level hospitals. However, OCT is only employed as a diagnostic tool in most cases, ophthalmologists lack of awareness of further exploring the information behind the raw data. In the era of fast-developing artificial intelligence, on the basis of standardized information management, a more comprehensive OCT database should be established. Further original image processing, lesion analysis, and artificial intelligence development of OCT images will help improve the understanding level of vitreoretinal diseases among clinicians and assist ophthalmologists to make more appropriate clinical decisions.

Research Progress and Application of Digital Pathology Technology in Bone Marrow Morphology / 中国医疗器械杂志

Advances in digital pathology technology have enabled pathologists and laboratory physicians to perform quick, easy, accurate and reproducible analysis of digital images of tissues and cells with the aid of electronic screens and software tools, rather than relying solely on traditional optical microscopy observations. The conventional clinical cytology testing practice is to be replaced by a digital workflow, which includes both digital imaging and image analysis. This article provides an overview of the basic principles of digital pathology techniques, the advances of development of device in cytology digital pathology, and their clinical applications in bone marrow morphology, and existing problems and prospects of digital pathology application in hematology.

Comparison results of image analysis software for quality control of SPECT equipment / 中国辐射卫生

@#<b>Objective</b> To investigate the differences in output results between difference analysis software, and to provide a reference for the improvement of quality control and the standard revision of SPECT equipment. <b>Methods</b> The image analysis software for quality control held by 14 radiological health technical service institutions was selected as the research subjects using the cluster sampling method. The results of the comparison were analyzed and evaluated according to the Z-score method with certified reference values. <b>Results</b> In the comparison items of “intrinsic uniformity” and “intrinsic spatial linearity”, the number of software with suspicious, deviated and incorrect results accounted for a relatively high proportion, while the results of other comparison items were satisfactory. <b>Conclusion</b> The applicability of SPECT image analysis software lacks effective supervision measures. Relevant departments should introduce feasible measures to standardize the software production and update process, accelerate the construction of radiological health information reporting platform, and promote the healthy development of the radiation health testing industry.

Research Progress of DNA-Based Technologies for Postmortem Interval Estimation / 法医学杂志

In criminal investigations, postmortem interval (PMI) is important information to be inferred in homicide investigations, as well as the focus and the difficulty in forensic pathology research. Because the DNA content in different tissues is relatively constant and shows changes regularly with the extension of PMI, it has become a research hotspot of PMI estimation. This paper reviews the recent progress of PMI estimation technologies including DNA-based single cell gel electrophoresis, image analysis, flow cytometry, real-time fluorescence quantitative PCR and high-throughput sequencing, hoping to provide references for forensic medicine practice and scientific research.

Yttrium-90 radiosynovectomy in knees and ankles (25 joints in 22 hemophilic patients). Short-term results

ABSTRACT Introduction: The radiosynovectomy (RS) is one treatment option for recurrent hemarthrosis in patients with hemophilia (PWH). A prospective cohort study was designed to evaluate the effects of the RS on the synovial membrane volume in the ankles and knees of PWH and patient characteristics related to the RS outcome. Methods: In a one-year follow-up, 25 joints of 22 PWH who presented 3 bleeds or more in the same joint over the last 6 months (target joints) were subjected to the RS. Two groups were compared: those who retained target joints following the RS and those who did not (less than 3 bleeds/6 months after the RS). The groups were analyzed according to age, hemophilia type/severity, joint, body mass index (BMI), inhibitor and Hemophilia Joint Health Score 2.1 (HJHS). The magnetic resonance images (MRI) of six ankles and six knees were acquired prior to, and 6 months after, the RS. The synovial membrane volume and arthropathy MRI scale were accessed and volumes were compared and correlated with the Yttrium-90 dose injected. Results: Patients with a mean age of 12 years and a mean HJHS of 6.7 (p < 0.05) retained target joints after the RS. The inhibitor, joint, type/severity of disease and BMI showed no significant differences between groups. The synovial membrane volume had a significant reduction after the RS (p = 0.03), but no correlation with the Yttrium-90 dose. In proportion to the synovial membrane volume, doses injected to the ankles were larger than those injected to the knees. Conclusion: The synovial membrane volume is reduced after the RS, regardless of the effective 90Y dose.

Classification of the sperm chromatin compaction alterations in bulls (Bos taurus) and its correlation with the efficiency of the in vitro production of embryos

This paper proposes to classify the sperm chromatin compaction alterations in bulls, according to the affected area location and its objective is evaluating the correlation of the intensity, the heterogeneity and these kinds of chromatin decompaction with the rates of cleavage and the formation of blastocysts of in vitro production of embryos (IVPE). It was used several subfertile animals sperm samples, which were evaluated using the toluidine blue staining and computer image analysis, making possible the categorization of the chromatin decompaction according to their location. The percentages of chromatin decompaction and heterogeneity were also evaluated. IVPEs were done and the rates of cleavage and of blastocysts were correlated with the chromatin characteristics. It made possible the classification of the chromatin decompaction according to the head affected part in at least four types: base decompaction, basal half decompaction, central axis decompaction, total decompaction. Based on the correlation, it can be implicated that each type of classification has different influences on the bull fertility. It made possible understanding that sperms amount with 5% or more of chromatin decompaction intensity interferes in the bull fertility and this condition can be featured as an uncompensable defect, while the heterogeneity of chromatin is not an important factor in the IVPE results.

Research progress on artificial intelligence in precise pathological diagnosis of lung cancer / 中国胸心血管外科临床杂志

@#The incidence of lung cancer has increased significantly during the past decades. Pathology is the gold standard for diagnosis and the corresponding treatment measures selection of lung cancer. In recent years, with the development of artificial intelligence and digital pathology, the researches of pathological image analysis have achieved remarkable progresses in lung cancer. In this review, we will introduce the research progress on artificial intelligence in pathological classification, mutation genes and prognosis of lung cancer. Artificial intelligence is expected to further accelerate the pace of precision pathology.

Esthetic evaluation of resin infiltration for the treatment of molar-incisor hypomineralization / 口腔疾病防治

Objective @#To evaluate the clinical effects of resin infiltration in treating molar-incisor hypomineralization. @*Methods @#Twelve patients (36 teeth) with mild molar-incisor mineralization imperfecta who met the inclusion criteria were selected and treated with penetrating resin. Before treatment (T0), at the one-week follow-up (T1) and at the six-month follow-up (T2), a Crystaleye spectrophotometer was used to take photos, and the color differences (ΔE) between the lesion area and the surrounding normal enamel area at different times were calculated and analyzed. The area of the lesion and the total area of the labial surface of affected teeth were calculated using Adobe Photoshop CS3 software. The corresponding area ratio (R) and treatment efficiency (SR) were obtained. The R value was used to judge the effectiveness of resin penetration in the treatment of molar and incisor mineralization imperfecta and to evaluate its aesthetic effect. The results were analyzed by repeated measures one-way ANOVA. @*Results@#The color difference of the lesion area vs sound adjacent enamel (ΔE) decreased significantly, and that of the lesion area decreased significantly after resin infiltration (P < 0.001). The success rate was approximately 86.02%, which means that the esthetic effect of resin infiltration in treating molar-incisor hypomineralization was remarkable. No important adverse events or side effects were observed. @*Conclusion@# The aesthetic effect of resin infiltration in the treatment of mild molar and incisor hypomineralization is good. This method is recommended for clinical use.

Sex and stature estimation from adult lumbar vertebrae in a Thai population based on image analysis / Estimación de sexo y estatura de vértebras lumbares adultas en una población Tailandesa basada en análisis de imagen

SUMMARY: Although molecular techniques evolved considerably in last years, anthropological methods of assessing skeletal remains, continues to be an important tool in the identification process in medico legal investigations. The objective of this study was to develop a discriminant function equation for estimating sex and stature using several measurements of lumbar vertebrae in a Thai population. We studied 150 lumbar columns (75 male and 75 female) age range of 22 to 89 years from the Forensic Osteology Research Center, Chiang Mai University, Thailand. The quantitative variables with sex were analyzed by the discriminant function analysis and that with stature were calculated using linear regression. The pixel density of the major axis of the trabecular surface of superior endplate of the first lumbar vertebra had the most accuracy in sex determination. The regression equation with quantitative variables in stature estimation described 32.3 % of the total variance with standard error of estimate of 7.736 cm. Lumbar vertebrae can be used as part of the stature and sex quantitatively and qualitatively estimating in Thais incomplete skeletal remains.

RESUMEN: Los métodos antropológicos de evaluación del esqueleto siguen siendo una herramienta importante en el proceso de identificación en las investigaciones médico-legales. El objetivo de este estudio fue desarrollar una ecuación de función discriminante para estimar el sexo y la estatura utilizando varias medidas de las vértebras lumbares en una población tailandesa. Se estudiaron 150 columnas lumbares (75 hombres y 75 mujeres) con un rango etario de 22 a 89 años del Centro de Investigación de Osteología Forense, Universidad de Chiang Mai, Tailandia. Las variables cuantitativas de sexo se analizaron mediante el análisis de función discriminante y la estatura fue calculada mediante regresión lineal. En cuanto a la determinación de sexo, la densidad de píxeles del eje mayor de superficie trabecular de la placa terminal superior de la primera vértebra lumbar fue de mayor precisión. La ecuación de regresión con variables cuantitativas en la estimación de la estatura describió el 32,3 % de la varianza total con el error estándar de estimación de 7,736 cm. Las vértebras lumbares se pueden utilizar como parte de la estatura y el sexo, estimando cuantitativa y cualitativamente los restos esqueléticos incompletos en sujetos tailandeses.

Image analysis of morphometric evaluation from the heart valves for age estimation in Thai population / Análisis de la evaluación morfométrica de las valvas cardíacas para la estimación de la edad en la población tailandesa

Determination of age represents one of the most important aspects in forensic identification. Through aging, changes can occur in morphological structures of the heart valves. The objective is to examine the relationship between the dimensions of the rigth atrioventricular (tricuspid), pulmonary, left atrioventricular (mitral), and aortic valves and age at death. Sixty fresh human hearts were obtained from Department of Anatomy and Department of Forensic Medicine, Faculty of medicine, Chiang Mai University, Thailand. The age of individuals was between 20-90 years. We investigated the morphometric parameters of the valves were taken including: valve circumference, length, the height and area of each leaflet. All parameters were measured by using specific image analysis software. The correlation test and predictive equation were established. The positive correlation between the circumference, area of posterior leaflet, height of anterior leaflet, and area of anterior leaflet of the rigth atrioventricular valve were found. The left atrioventricular valve showed correlation with age in circumference, length and area of posterior leaflet. For the pulmonary and aortic valves, there were correlated between circumference at sinotubular junction and leaflet sizes in almost leaflets. The circumference at sinotubular junction of the pulmonary valve was highest significantly correlation with age (r=0.693). The predictive equation was age = -3.659+0.652(Circumference at sinotubular junction of the pulmonary valve) with standard error of ± 14.7 years. Additional knowledge of morphometric features in human heart valves and its relationship with age could be used as age indicator in forensic field.

La determinación de la edad representa uno de los aspectos más importantes en la identificación forense. Pueden ocurrir cambios a través del envejecimiento, en las estructuras morfológicas de las válvulas cardíacas. El objetivo de este estudio fue examinar la relación entre las dimensiones de las valvas atrioventricular derecha (tricúspide), pulmonar, atrioventricular izquierda (mitral) y aórtica, y la edad en relación a la muerte. Se obtuvieron sesenta corazones humanos frescos del Departamento de Anatomía y el Departamento de Medicina Forense de la Facultad de Medicina de la Universidad de Chiang Mai, Tailandia. La edad de las personas fluctuaba entre los 20 y 90 años. Investigamos los parámetros morfométricos de las valvas analizadas, incluyendo: circunferencia de la valva, longitud, altura y área de cada valva. Todos los parámetros se midieron utilizando un software de análisis de imagen específico. Se estableció la prueba de correlación y la ecuación predictiva. Se encontró la correlación positiva entre la circunferencia, el área de la valvula posterior, la altura de la valvula anterior y el área de la valvula anterior de la valva atrioventricular derecha. La valva atrioventricular izquierda mostró correlación con la edad en la circunferencia, longitud y área de la valvula posterior. Para las valvas pulmonar y aórtica, se correlacionó entre la circunferencia en la unión sinotubular y el tamaño de las válvulas. La circunferencia en la unión sinotubular de la valva pulmonar fue la mayor correlación significativa con la edad (r = 0,693). La ecuación predictiva fue edad = -3,659 + 0,652 (circunferencia en la unión sinotubular de la valva pulmonar) con error estándar de ± 14,7 años. El conocimiento adicional de las características morfométricas en las valvas cardíacas humanas y su relación con la edad podría usarse como indicador de edad en el campo forense.