Diagnostic Value of Spiral CT and Magnetic Resonance Imaging Scanning in Gastric Cancer and Precancerous Lesions

Yaolan Zhen, Qing Xie, Lei Liu, Yaolan Zhen, Qing Xie, Lei Liu

Abstract

In order to explore the diagnostic value of spiral CT and magnetic resonance imaging scanning in gastric cancer and precancerous lesions, the author selected 56 gastric cancer patients treated in a medical center (group) as the experimental subjects, and all patients underwent MRI, multislice spiral CT scan, and enhanced CT scan two weeks before surgery; at the same time, the gastric cancer staging results of patients were diagnosed according to surgical pathology. All patients were examined under the condition of knowledge and performed breath-holding exercise before examination. The status, location, and extent of tumor lesions were evaluated. In comparison of T staging of gastric cancer patients with magnetic resonance scanning imaging and postoperative pathological examination results, among them, T staging of 3 patients did not match the results of pathological examination, the accuracy rates of T staging on magnetic resonance scanning imaging were T1 = 94.7%, T2 = 87.6%, T3 = 91.2%, and T4 = 94.7%, and the total accuracy was 92.1%. Comparison of helical CT scan imaging and postoperative pathological examination results is as follows. Among them, T staging of 8 patients did not match the results of pathological examination, 3 patients were ulcerative, 5 were protuberance, the accuracy rates of T staging in spiral CT scan imaging were T1 = 90.8%, T2 = 82.2%, T3 = 76.9%, and T4 = 87.6%, and the total accuracy was 84.5%. The total accuracy rate of imaging N staging was 77.5%, and the total accuracy rate of spiral CT scanning imaging N staging was 80.8%. The accuracy rates of M0 and M1 staging in magnetic resonance imaging were 100.0% and 96.5%, respectively, and the accuracy rates of M0 and M1 staging in spiral CT scan imaging were 96.5% and 96.5%, respectively. The accuracy rate of magnetic resonance imaging for the diagnosis of gastric cancer N staging was 77.4%, and the reason for the low accuracy rate was mainly because the enhancement effect was not obvious due to insufficient enhancement. The accuracy rate of spiral CT in diagnosing N staging of gastric cancer was 80.9%, which was mainly due to the small diameter of the middle celiac artery lymph nodes. Magnetic resonance and spiral CT scans have high value in the early diagnosis and staging of gastric cancer.

Conflict of interest statement

The authors declare that they have no conflicts of interest.

Copyright © 2022 Yaolan Zhen et al.

Figures

Figure 1
Figure 1
Principle of MRI instrument.
Figure 2
Figure 2
Comparison of the results of MRI and spiral CT in the diagnosis of gastric cancer M0 staging and pathological detection.
Figure 3
Figure 3
Comparison of the results of MRI and spiral CT in the diagnosis and pathology of gastric cancer M1 stage.

References

    1. Sun J., Yue Y., Li R., Sun Q., Guan Q. Detection of hpv e6/e7 mrna in the diagnosis of cervical cancer and precancerous lesions after kidney transplantation. American Journal of Translational Research . 2021;13(6):7312–7317.
    1. Zhang C. X., Wu C. T., Xiao L., Tang S. H. The diagnostic and clinicopathological value of trefoil factor 3 in patients with gastric cancer: a systematic review and meta-analysis. Biomarkers . 2021;26(2):95–102. doi: 10.1080/1354750X.2020.1871411.
    1. Rothman R. K., Weinreb J., Zucconi W., Malhotra A. Diagnostic value of ct of chest, abdomen, and pelvis in patients with solitary and multiple brain lesions. American Journal of Roentgenology . 2020;214(3):636–640. doi: 10.2214/AJR.19.22051.
    1. Zan X., Guo Q., Ji R., Chen Z., Zhou Y. Mo1068 screening biomarkers associated with gastric cancer and precancerous lesions in high-risk area: cross-sectional study based on population-cohort. Gastroenterology . 2020;158(6):S-775–S-776. doi: 10.1016/S0016-5085(20)32614-7.
    1. Gustinucci D., Ciccocioppo L., Coppola L., Negri G., Giorgi-Rossi P. Multicentre evaluation of hepika test clinical accuracy in diagnosing hpv-induced cancer and precancerous lesions of the uterine cervix. Diagnostics . 2021;11(4):p. 619. doi: 10.3390/diagnostics11040619.
    1. Bartpho T. S., Wattanawongdon W., Tongtawee T., Paoin C., Dechsukhum C. Precancerous gastric lesions with Helicobacter pylori vacA+/babA2+/oipA+ genotype increase the risk of gastric cancer. BioMed Research International . 2020;2020(suppl 1):8. doi: 10.1155/2020/7243029.
    1. Zullo A., Rago A., Felici S., Licci S., Toritto T. Onset and progression of precancerous lesions on gastric mucosa of patients treated for gastric lymphoma. Journal of gastrointestinal and liver diseases: JGLD . 2020;29(1):27–31. doi: 10.15403/jgld-516.
    1. Yi Y., Hu Z., Li R., Chen L., Liu W. Effectiveness of banxia xiexin decoction in the treatment of precancerous lesions: a protocol for systematic review and meta-analysis. Medicine . 2021;100(16, article e25607) doi: 10.1097/MD.0000000000025607.
    1. He X., Wang Y. Progress in research on relationship between gastric non-hp bacteria and gastric cancer and precancerous conditions. Chinese Journal of Gastroenterology . 2020;25(9):568–571.
    1. Gopi I., Maragathavalli G. Complete blood count as a pathological diagnostic marker in oral precancerous lesions and conditions. Journal of Research in Medical and Dental Science . 2021;9(2):269–272.
    1. Aló P. L., Cicciarelli M., De Felice F., Quintiliani C., Corsi A., Polimeni A. Immunohistochemical differences in squamous precancerous and cancerous lesions of the oral cavity and the larynx: preliminary data. Applied Sciences . 2021;11(5):p. 2048. doi: 10.3390/app11052048.
    1. Di Cesare T., D’Alatri L., Marchese M. R. The prevalence of signs and symptoms of laryngopharyngeal reflux and laryngeal precancerous lesions in urban taxi drivers. European Archives of Oto-Rhino-Laryngology . 2020;277(8):2285–2291. doi: 10.1007/s00405-020-05983-z.
    1. Simo R. T., Tchakounte C. K., Kamdje A., Sidje L., Telefo P. B. Cervical cancer awareness and detection of precancerous lesions at two district health centres in the west region of Cameroon. Asian Pacific Journal of Cancer Care . 2021;6(3):263–269. doi: 10.31557/apjcc.2021.6.3.263-269.
    1. Gullo I., Grillo F., Mastracci L., et al. Precancerous lesions of the stomach, gastric cancer and hereditary gastric cancer syndromes. Pathologica . 2020;112(3):166–185. doi: 10.32074/1591-951X-166.
    1. Lu C. N., Wu J., She Q., Deng B., Ding Y. B. Application value of serum pepsinogen and gastrin-17 in screening gastric precancerous lesions. World Chinese Journal of Digestology . 2021;29(4):204–209. doi: 10.11569/wcjd.v29.i4.204.
    1. Titov S. E., Anishchenko V. V., Poloz T. L., Veryaskina Y. A., Ustinov S. N. Differential diagnostics of gastric cancer and precancerous changes of the gastric mucosa using analysis of expression of six micrornas. Klinicheskaia Laboratornaia Diagnostika . 2020;65(2):131–136. doi: 10.18821/0869-2084-2020-65-2-131-136.
    1. Wang X. T., Ji Z. Z., Han F., Lyu B. A comparative study of new gastric cancer screening scoring system and new abc method for screening gastric cancer and precancerous lesions. Zhonghua nei ke za zhi . 2021;60(3):227–232. doi: 10.3760/cma.j.cn112138-20200512-00476.
    1. Xu X., Li L., Sharma A. Controlling messy errors in virtual reconstruction of random sports image capture points for complex systems. International journal of system assurance engineering and management . 2021 doi: 10.1007/s13198-021-01094-y.
    1. Shriram S., Jaya J., Shankar S., Ajay P. Deep learning-based real-time AI virtual mouse system using computer vision to avoid COVID-19 spread. Journal of Healthcare Engineering . 2021;2021:8.8133076
    1. Xin L., Jianqi L., Jiayao C., Fangchuan Z., Chengyu M. Study on treatment of printing and dyeing waste gas in the atmosphere with Ce-Mn/GF catalyst. Arabian Journal of sciences . 2021;14(8):1–6.
    1. Huang R. Framework for a smart adult education environment. 2015. World Transactions on Engineering and Technology Education . 2015;13(4):637–641.
    1. Mosiychuk L. M., Kushnirenko I. V., Tatarchuk O. M., Konenko I. S., Petishko O. P. Особенности цитокинового баланса у пациентов с предраковыми состояниями желудка в зависимости от изменений в структуре щитовидной железы. Gastroenterology . 2020;54(3):127–134. doi: 10.22141/2308-2097.54.3.2020.211732.

Source: PubMed

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