Morphometric and densitometric parameters of small cell and non-small cell lung carcinoma
Keywords:
LUNG CARCINOMA, CARCINOMA, SMALL CELL, NON-SMALL-CELL, NON-SMALL CELL CARCINOMA, DENSITOMETRY.Abstract
Introduction: nowadays it is evident the need to use morphometry to measure parameters at cellular level, and to reduce the margin of error of histopathological diagnosis in tumor processes such as lung cancer.
Objective: to determine morphometric and densitometric parameters of small cell and non-small cell lung carcinoma.
Methods: an observational, descriptive and cross-sectional study on the morphometric and densitometric characteristics of small cell and non-small cell lung carcinoma was carried out. We worked with 100 % of the universe; conformed by the totality of diagnosed patients (49), in the General Hospital Juan Bruno Zayas Alfonso of Santiago de Cuba during the year 2022. The digital processing of the images was carried out using the ImageJ program version 1,44. The following nuclear variables were determined: area, perimeter, volume, major and minor diameter, circularity and integrated optical density.
Results: the predominant histological type was non-small cell lung carcinoma (87,8 %). The arithmetic mean values of area, perimeter, nuclear volume, major and minor diameter were lower in microcytic carcinoma and the integrated optical density was higher than in non-small cell lung carcinoma, in correspondence with the qualitative morphological alterations; there were representative discrepancies between both histological varieties, which resulted in a significant difference between the two types of carcinoma.
Conclusions: nuclear morphometric parameters of both histopathological types of lung cancer were determined by an economic and reproducible method, which would complement the cytohistological diagnosis.
Downloads
References
1. Sánchez Anaya RE, Machado Rivas AM. Carcinoma Pulmonar: Estudio clínico patológico. Rev Ven Oncol [Internet]. 2021 [citado 04/05/2024]; 33(1): 11-32. Disponible en: https://www.redalyc.org/articulo.oa?id=375664923012g
2. Cuba. Ministerio de salud Pública. Anuario estadístico de salud [Internet]. La Habana: MINSAP; 2022 [citado 12/08/2024]. Disponible en: http://files.sld.cu/dne/files/2023/04/anuario_2022.pdf
3. Organización Mundial de la Salud. Cáncer de pulmón [Internet]. Washington: OMS; 2023 [citado 06/04/2024]. Disponible en: https://www.who.int/es/news-room/fact-sheets/detail/lung-cancer
4. García de Vinuesa Calvo G. Clasificación anamotomopatológica. Rev Esp Pat Torac [Internet]. 2017 [citado 06/04/2024]; 29(2): 13-24. Disponible en: https://dialnet.unirioja.es/servlet/articulo?codigo=7732027
5. Manzano Núñez F, Peters R, Burks DJ, Noon LA. Un método in situ de alto rendimiento para la estimación de la ploideide nuclear de hepatocitos en ratones. JOVE [Internet]. 2020 [citado 04/05/2024]; 1: 1-132. Disponible en: https://www.jove.com/es/t/60095
6. Toledo Hidalgo D, Díaz Rojas PA. Indicadores morfométricos del carcinoma papilar de tiroides diagnosticado por biopsia escisional. AMC [Internet]. 2020 Ago [citado 12/05/2024]; 24(4). Disponible en: http://scielo.sld.cu/scielo.php?script=sci_arttext&pid=S1025-02552020000400007
7. Ferreira T, Wayne R. ImageJ User Guide IJ 1.46 [Internet]. National Institute of Health USA; 2012 [citado 02/01/2024]. Disponible en: https://imagej.net/ij/docs/guide/
8. Schade JA, Harreval A. Volume distribution of moto and interneurons in the peroneus tibialis neuron pool of e cat. J Comp neurol [Internet]. 1961 [citado 06/05/2024]; 117(3): 387-398. Disponible en: https://pubmed.ncbi.nlm.nih.gov/14497901/
9. Ayala León SJ, Agüero MA, Gauna C, Ayala León M. Factores etiológicos y caracterización de pacientes con cáncer de pulmón en el Instituto Nacional del Cáncer: Paraguay. Rev virtual Soc Parag Med Int [Internet]. 2020 [citado 06/03/2024]; 7(1): 56-65. Disponible en: https://www.revistaspmi.org.py/index.php/rvspmi/a.rticle/download/156/159/
10. Espinosa Velázquez M, Ramírez Ojeda J, Góngora Parra K, Sánchez Lorenzo I. Caracterización de pacientes con cáncer de pulmón atendidos en el hospital provincial de Las Tunas. EsTuSalud [Internet]. 2019 [citado 06/03/2024]; 1. Disponible en: https://revestusalud.sld.cu/index.php/estusalud/article/view/11
11. Naranjo D, Rodriguez ND, Simonds MI. Análisis morfométrico de células malignas y benignas en extendidos citológicos de lavado bronquio alveolar en pacientes con carcinoma de pulmón de células no pequeñas del Hospital Dr. Rafael González Plaza, periodo 2010–2011. [Tesis]. Venezuela: Universidad de Carabobo, Facultad de Ciencias de la Salud; 2011. Disponible en: http://hdl.handle.net/123456789/6648
12. Oro Pozo Y, Leyva Sanchez E, Diaz Rojas PE. Indicadores morfométricos del melanoma maligno de piel. AMC [Internet]. 2020 [citado 22/05/2024]; 24(6). Disponible en: http://scielo.sld.cu/scielo.php?script=sci_arttext&pid=S1025-02552020000600007
13. Joel de L, Pareja A. Inmunología del cáncer II: bases moleculares y celulares de la carcinogénesis. Horiz Med [Internet]. 2019 [citado 24/07/2024]; 19(2): 84-92. Disponible en: http://www.scielo.org.pe/scielo.php?script=sci_arttext&pid=S1727-558X2019000200011&lng=es
14. De Sousa A, Zamora M, Álvarez M. Polimorfismo vacuolar y nuclear en el tejido epitelial rinosinusal con diagnóstico de papiloma invertido. Un análisis morfométrico. Rev Fac Med [Internet]. 2021 [citado 24/07/2024]; 44(3): 22-32. Disponible en: http://saber.ucv.ve/ojs/index.php/rev_fmed/article/view/22848
15. Barrionuevo Cornejo C. Clasificación actual del carcinoma de pulmón. Consideraciones histológicas, inmunofenotípicas, moleculares y clínicas. Horiz Med [Internet]. 2019 [citado 06/05/2024]; 19(4): 74-83. Disponible en: http://dx.doi.org/10.24265/horizmed.2019.v19n4.11
16. Toledo Hidalgo D, Díaz Rojas PA, Torres Batista M, Santa Ana A. La densidad óptica nuclear como indicador diagnóstico en el carcinoma papilar de tiroides. Rev Cubana Invest Bioméd [Internet]. jul.-set. 2020 [citado 22/05/2024]; 39(3). Disponible en: http://scielo.sld.cu/scielo.php?script=sci_arttext&pid=S0864-03002020000300013
17. Sabo E. Morfometría computarizada como ayuda para determinar el grado de displasia y progresión a adenocarcinoma en el esófago de Barret. Inv Lab [Internet]. 2006 Dic [citado 22/05/2024]; 86(12): 1261-71. Disponible en: http://pubmed.ncbi.nlm.nih.gov
Downloads
Published
How to Cite
Issue
Section
License
Authors who have publications with this journal agree to the following terms: Authors will retain their copyrights and grant the journal the right of first publication of their work, which will be publication of their work, which will be simultaneously subject to the Creative Commons Attribution License (CC-BY-NC 4.0) that allows third parties to share the work as long as its author and first publication in this journal are indicated.
Authors may adopt other non-exclusive license agreements for distribution of the published version of the work (e.g.: deposit it in an institutional telematic archive or publish it in a volume). Likewise, and according to the recommendations of the Medical Sciences Editorial (ECIMED), authors must declare in each article their contribution according to the CRediT taxonomy (contributor roles). This taxonomy includes 14 roles, which can be used to represent the tasks typically performed by contributors in scientific academic production. It should be consulted in monograph) whenever initial publication in this journal is indicated. Authors are allowed and encouraged to disseminate their work through the Internet (e.g., in institutional telematic archives or on their web page) before and during the submission process, which may produce interesting exchanges and increase citations of the published work. (See The effect of open access). https://casrai.org/credit/
