A. Panina, Zhamilya Zholdybay, E. Turkinbaev, T. Seisenbaev, A. Tusupova, A. Mukhamedzhan
{"title":"CHARACTERISTICS OF LUNG-RADS 4A AND 4B CATEGORY NODULES DETECTED DURING \nLUNG CANCER SCREENING USING LOW-DOSE COMPUTED TOMOGRAPHY","authors":"A. Panina, Zhamilya Zholdybay, E. Turkinbaev, T. Seisenbaev, A. Tusupova, A. Mukhamedzhan","doi":"10.52532/2521-6414-2022-2-64-19-23","DOIUrl":null,"url":null,"abstract":"Relevance: With the introduction of low-dose lung cancer screening, it became necessary to study the radiological characteristics of detected \nnodules in order to determine the optimal tactics for managing patients, reduce mortality by detecting early stages, and also to reduce the number \nof false-positive results. \nThe study aimed to investigate the radiological semiotics of lung lesions detected by low-dose lung cancer screening and classified as categories 4A and 4B according to the Lung-RADS 1.1 and establish the relationship between their characteristics and possible malignancy. \nMethods: We studied the results of 167 LDCT images of the chest. All LDCT examinations were performed on CT scanners with a low dose \nprotocol that did not exceed 1 mSv. \nResults: Of the 167 identified lesions in the lungs, 89 (53.3%) were pathologically verified: 6 (7.1%) cases from the Lung-RADS 4A category \nand 83 (100%) from the Lung-RADS 4B category. According to pathomorphological examination, 74 (83.1%) out of 89 participants had malignant \ntumors. In the studied categories, the association between the development of lung cancer and gender Odds Ratio was statistically significant – \n2.320 (95% CI 1.230-4.376). Most lung cancer cases had solid nodules (83.8%) with tuberous contours (43.2%), a density of 20-35 HU, and the \nreaction of the adjacent pleura (58.1%). \nConclusion: The study of pathognomonic radiological characteristics of lung lesions will improve the early diagnosis of lung cancer and \nreduce the number of false-positive results.","PeriodicalId":19480,"journal":{"name":"Oncologia i radiologia Kazakhstana","volume":"9 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Oncologia i radiologia Kazakhstana","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.52532/2521-6414-2022-2-64-19-23","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Relevance: With the introduction of low-dose lung cancer screening, it became necessary to study the radiological characteristics of detected
nodules in order to determine the optimal tactics for managing patients, reduce mortality by detecting early stages, and also to reduce the number
of false-positive results.
The study aimed to investigate the radiological semiotics of lung lesions detected by low-dose lung cancer screening and classified as categories 4A and 4B according to the Lung-RADS 1.1 and establish the relationship between their characteristics and possible malignancy.
Methods: We studied the results of 167 LDCT images of the chest. All LDCT examinations were performed on CT scanners with a low dose
protocol that did not exceed 1 mSv.
Results: Of the 167 identified lesions in the lungs, 89 (53.3%) were pathologically verified: 6 (7.1%) cases from the Lung-RADS 4A category
and 83 (100%) from the Lung-RADS 4B category. According to pathomorphological examination, 74 (83.1%) out of 89 participants had malignant
tumors. In the studied categories, the association between the development of lung cancer and gender Odds Ratio was statistically significant –
2.320 (95% CI 1.230-4.376). Most lung cancer cases had solid nodules (83.8%) with tuberous contours (43.2%), a density of 20-35 HU, and the
reaction of the adjacent pleura (58.1%).
Conclusion: The study of pathognomonic radiological characteristics of lung lesions will improve the early diagnosis of lung cancer and
reduce the number of false-positive results.