3. Diagnostic accuracy of multispiral computed tomography in detecting and staging of esophageal and gastric cancer

Авторы

DOI:

https://doi.org/10.35805/BSK2024III003

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Аннотация

Background. The sensitivity and specificity of multislice computed tomography is of great importance in the detection of gastric and esophageal cancer, and also expands the possibilities of preoperative staging using computed tomography.

Materials and methods. A retrospective study at the A.N. Syzganov National Scientific Center of Surgery from 2022 to 2024, included 121 patients: 48 females (39.6%), 73 males (60.3%), with an average age of 60 years. Sensitivity, specificity were calculated to assess diagnostic accuracy. Esophageal and gastric cancer staging via computed tomography was done using the TNM classification and compared with esophagogastroduodenoscopy, pathohistological examination results.

Results. The sensitivity of computed tomography was 96.49%, the specificity was 85.71%. Esophagogastroduodenoscopy showed a sensitivity of 79.75%, specificity of 95.24%.

Conclusion. Computed tomography is highly informative, sensitive in detecting esophageal and gastric cancer, with superior diagnostic accuracy compared to esophagogastroduodenoscopy. Given the detection of esophageal and gastric cancer at T2 and T3 stages, along with the presence of distant metastases in some patients, implementing protocols for early diagnosis is advisable.

Ключевые слова

esophageal cancer, gastric cancer, adenocarcinoma, multispiral computed tomography, biopsy, histology

Библиографические ссылки

  1. Stanley AJ, Laine L. Management of 1. Smyth EC, Nilsson M, Grabsch HI, van Grieken NC, Lor-dick F. Gastric cancer. Lancet. Aug 29 2020;396(10251):635-648. doi:10.1016/S0140-6736(20)31288-5
  2. Ma S, Zhou M, Xu Y, et al. Clinical ap-plication and detection techniques of liquid biopsy in gastric cancer. Mol Cancer. Jan 11 2023;22(1):7. doi:10.1186/s12943-023-01715-z
  3. Zhang Z, Wu H, Chong W, Shang L, Jing C, Li L. Liquid biopsy in gas-tric cancer: predictive and prognos-tic biomarkers. Cell Death Dis. Oct 27 2022;13(10):903. doi:10.1038/s41419-022-05350-2
  4. Rakhimova S, Akilzhanova A, Zhu-kov Y, Omarov M, Zhumadilov Z. Esophageal Cancer in Kazakh-stan: Multi-omic Research Chal-lenges. Cent Asian J Glob Health. 2014;3(Suppl):170. doi:10.5195/ca-jgh.2014.170
  5. Lopez MJ, Carbajal J, Alfaro AL, et al. Characteristics of gastric can-cer around the world. Crit Rev On-col Hematol. Jan 2023;181:103841. doi:10.1016/j.critrevonc.2022.103841
  6. Yao K, Uedo N, Kamada T, et al. Guidelines for endoscopic diagnosis of early gastric cancer. Dig Endosc. Jul 2020;32(5):663-698. doi:10.1111/den.13684
  7. Zhu Y, Wang P, Wang B, et al. Du-al-layer spectral-detector CT for predicting microsatellite instabil-ity status and prognosis in locally advanced gastric cancer. Insights Imaging. Sep 19 2023;14(1):151. doi:10.1186/s13244-023-01490-x
  8. Nishimuta Y, Tsurumaru D, Kai S, et al. Extracellular volume fraction determined by equilibrium con-trast-enhanced computed tomogra-phy: correlation with histopatholog-ical findings in gastric cancer. Jpn J Radiol. Jul 2023;41(7):752-759. doi:10.1007/s11604-023-01393-3
  9. Nie T, Liu D, Ai S, et al. A radiom-ics nomogram analysis based on CT images and clinical features for preoperative Lauren classification in gastric cancer. Jpn J Radiol. Apr 2023;41(4):401-408. doi:10.1007/s11604-022-01360-4
  10. Lopez Sala P, Leturia Etxeberria M, Inchausti Iguiniz E, Astiazaran Rodriguez A, Aguirre Oteiza MI, Zubizarreta Etxaniz M. Gastric ad-enocarcinoma: A review of the TNM classification system and ways of spreading. Radiologia (Engl Ed). Jan-Feb 2023;65(1):66-80. doi:10.1016/j.rxeng.2022.10.011
  11. Simon TG, Travis AC, Saltzman JR. Initial Assessment and Resuscitation in Nonvariceal Upper Gastrointes-tinal Bleeding. Gastrointest Endosc Clin N Am. Jul 2015;25(3):429-42. doi:10.1016/j.giec.2015.02.006
  12. Shi C, Yu Y, Yan J, Hu C. The added value of radiomics from dual-ener-gy spectral CT derived iodine-based material decomposition images in predicting histological grade of gas-
  13. You MW, Park S, Kang HJ, Lee DH. Radiologic serosal invasion sign as a new criterion of T4a gastric cancer on computed tomography: diagnostic performance and prognostic signifi-cance in patients with advanced gas-tric cancer. Abdom Radiol (NY). Oct 2020;45(10):2950-2959. doi:10.1007/s00261-019-02156-3
  14. Han W, Bu X, Liu Y, et al. Clinical value of miR-135 and miR-20a com-bined with multi-detector comput-ed tomography in the diagnosis of gastric cancer. World J Surg Oncol. Sep 18 2021;19(1):283. doi:10.1186/s12957-021-02395-z
  15. He P, Miao LY, Ge HY, et al. Pre-operative Tumor Staging of Gas-tric Cancer: Comparison of Dou-ble Contrast-Enhanced Ultrasound and Multidetector Computed To-mography. J Ultrasound Med. Dec 2019;38(12):3203-3209. doi:10.1002/jum.15028
  16. Xu SH, Feng LL, Chen YM, Zhang R. [Study on the sensitivity of multi-slice spiral CT in diagnosis of lymph node metastasis in different lymph node stations of gastric cancer]. Zhong-hua Wei Chang Wai Ke Za Zhi. Oct 25 2019;22(10):984-989. doi:10.3760/cma.j.issn.1671-0274.2019.10.015
  17. Tanaka H, Yoshii M, Imai T, et al. Clinical significance of coexisting histological diffuse type in stage II/ III gastric cancer. Mol Clin Oncol. Nov 2021;15(5):234. doi:10.3892/mco.2021.2397
  18. Xu M, Liu S, Li L, et al. Development and validation of multivariate models integrating preoperative clinicopath-ological and radiographic findings to predict HER2 status in gastric cancer. Sci Rep. Aug 19 2022;12(1):14177. doi:10.1038/s41598-022-18433-z
  19. Xu M, Liu S, Qiao X, Li L, Ji C, Zhou Z. Clinicopathological features and CT findings of papillary gastric adeno-carcinoma. Abdom Radiol (NY). Nov 2022;47(11):3698-3711. doi:10.1007/s00261-022-03635-w
  20. Li L, Huang W, Hou P, et al. A comput-ed tomography-based preoperative risk scoring system to distinguish lymphoepithelioma-like gastric car-cinoma from non-lymphoepitheli-oma-like gastric carcinoma. Front Oncol. 2022;12:872814. doi:10.3389/fonc.2022.872814
  21. Wu J, Wang H, Yin X, et al. Normal-ization weighted combination scores re-evaluate TNM staging of gastric cancer: a retrospective cohort study based on a multicenter database. Int J Surg. Jan 1 2024;110(1):11-22. doi:10.1097/JS9.0000000000000726
  22. Chen D, Fu M, Chi L, et al. Prognos-tic and predictive value of a pathom-ics signature in gastric cancer. Nat Commun. Nov 12 2022;13(1):6903. doi:10.1038/s41467-022-34703-w
  23. Necula L, Matei L, Dragu D, et al. Recent advances in gastric cancer early diagnosis. World J Gastroen-terol. May 7 2019;25(17):2029-2044. doi:10.3748/wjg.v25.i17.2029
  24. Leja M, Line A. Early detection of gas-tric cancer beyond endoscopy - new methods. Best Pract Res Clin Gastro-enterol. Mar-Apr 2021;50-51:101731. doi:10.1016/j.bpg.2021.101731
  25. Xiu J, Ma L, Ding Y, et al. The Diagnosis of Early Gastric Cancer Based on Med-ical Imaging Technology and Math-ematical Modeling. Comput Math Methods Med. 2022;2022:8721654. doi:10.1155/2022/8721654

Опубликован

2024-09-30

Выпуск

№ 3 (2024)

Раздел

Статьи