Relationship between computed tomography and histological features of gastrointestinal stromal tumors

Main Article Content

Nesrin Gunduz
Mahmut Bilal Dogan
Hatice Seneldir
Ozgur Ekinci
Ihsan Metin Leblebici
Orhan Alimoglu

Abstract

Background and Aim: Histomorphological and immunohistochemical (IHC) properties of gastrointestinal stromal tumors (GISTs) allow for accurate diagnosis and determine the prognosis. We aimed to evaluate the relationship between the computed tomography (CT) features, histomorphological properties, and IHC markers.


Materials and Methods: This retrospective study comprised patients with pathologically confirmed GISTs between 2016 and 2021. The predefined CT characteristics comprised tumor size, hemorrhage and calcification, CT-growth pattern (exophytic/endophytic), and contrast enhancement pattern of the solid component (homogeneous/heterogeneous). The GISTs were divided into groups according to the National Institutes of Health risk category, cell type, presence of necrosis, CD117 and α-SMA positivity, and Ki-67 index. The frequencies of CT phenotypes were compared between groups.


Results: Overall 24 (14 [58.3%] males) patients with a median age of 64 (59.5–75.5) having 25 GISTs were included. Of 25 GISTs, 16 (64%) were gastric and 9 (36%) were intestinal in origin. Among CT features, the maximum diameter was higher in epithelioid, infiltrative, a mitotic count ≥5/50, necrotic, high-risk GISTs (P < 0.05 for all). The median tumor size was higher in Ki-67 >8 than Ki-67 <6 subjects (112.5 [39.25–153.75] vs. 22.5 [16.75–57.5] mm, P = 0.014). A heterogeneous enhancement was also more frequent in Ki-67 >8 tumors (P = 0.04). The enhancement pattern did not differ according to CD-117 or SMA positivity. Logistic regression analysis revealed that the only independent predictor of a Ki-67 >8 status was the tumor size (odds ratio: 1.02, 95% confidence interval: 1.001–1.046, P = 0.04).


Conclusions: Heterogeneously enhanced large GISTs at CT imaging strongly suggest the presence of poor prognostic factors including a high Ki-67 index and/or high-risk category.

Downloads

Download data is not yet available.

Article Details

Section

Original Article

How to Cite

Gunduz, N., Dogan, M. B., Seneldir, H., Ekinci, O., Leblebici, I. M., & Alimoglu, O. (2025). Relationship between computed tomography and histological features of gastrointestinal stromal tumors. West African Journal of Radiology, 30(1), 1-7. https://doi.org/10.4103/wajr.wajr_19_23

References

1. Joensuu H, Hohenberger P, Corless CL. Gastrointestinal stromal tumour. Lancet 2013;382:973‑83.

2. Baheti AD, Shinagare AB, O’Neill AC, Krajewski KM, Hornick JL, George S, et al. MDCT and clinicopathological features of small bowel

gastrointestinal stromal tumours in 102 patients: A single institute experience. Br J Radiol 2015;88:20150085.

3. Schaefer IM, Mariño Enríquez A, Fletcher JA. What is new in gastrointestinal stromal tumor? Adv Anat Pathol 2017;24:259‑67.

4. Hirota S. Differential diagnosis of gastrointestinal stromal tumor by histopathology and immunohistochemistry. Transl Gastroenterol

Hepatol 2018;3:27.

5. Lanke G, Lee JH. How best to manage gastrointestinal stromal tumor. World J Clin Oncol 2017;8:135‑44.

6. Zhang H, Liu Q. Prognostic indicators for gastrointestinal stromal tumors: A review. Transl Oncol 2020;13:100812.

7. Li H, Ren G, Cai R, Chen J, Wu X, Zhao J. A correlation research of Ki67 index, CT features, and risk stratification in gastrointestinal stromal tumor. Cancer Med 2018;7:4467‑74.

8. Sandrasegaran K, Rajesh A, Rushing DA, Rydberg J, Akisik FM, Henley JD. Gastrointestinal stromal tumors: CT and MRI findings. Eur Radiol 2005;15:1407‑14.

9. Iannicelli E, Carbonetti F, Federici GF, Martini I, Caterino S, Pilozzi E, et al. Evaluation of the relationships between computed tomography features, pathological findings, and prognostic risk assessment in gastrointestinal stromal tumors. J Comput Assist Tomogr 2017;41:271‑8.

10. Levy AD, Remotti HE, Thompson WM, Sobin LH, Miettinen M. Gastrointestinal stromal tumors: Radiologic features with pathologic correlation. Radiographics 2003;23:283‑304, 456.

11. Ulusan S, Koc Z, Kayaselcuk F. Gastrointestinal stromal tumours: CT findings. Br J Radiol 2008;81:618‑23.

12. Ghanem N, Altehoefer C, Furtwängler A, Winterer J, Schäfer O, Springer O, et al. Computed tomography in gastrointestinal stromal

tumors. Eur Radiol 2003;13:1669‑78.

13. Yu MH, Lee JM, Baek JH, Han JK, Choi BI. MRI features of gastrointestinal stromal tumors. AJR Am J Roentgenol 2014;203:980‑91.

14. Maldonado FJ, Sheedy SP, Iyer VR, Hansel SL, Bruining DH, McCollough CH, et al. Reproducible imaging features of biologically aggressive gastrointestinal stromal tumors of the small bowel. Abdom Radiol (NY) 2018;43:1567‑74.

15. Joensuu H, Vehtari A, Riihimäki J, Nishida T, Steigen SE, Brabec P, et al. Risk of recurrence of gastrointestinal stromal tumour after surgery: An analysis of pooled population‑based cohorts. Lancet Oncol 2012;13:265‑74.

16. Ekinci O, Leblebici M, Acar M, Erol CI, Alimoglu O. Risk Factors of Gastrointestinal Stromal Tumor Recurrence. Anatolian Clin 2021;26:3‑10.

17. Burkill GJ, Badran M, Al Muderis O, Meirion Thomas J, Judson IR, Fisher C, et al. Malignant gastrointestinal stromal tumor: Distribution,

imaging features, and pattern of metastatic spread. Radiology 2003;226:527‑32.

18. Demetri GD, von Mehren M, Antonescu CR, DeMatteo RP, Ganjoo KN, Maki RG, et al. NCCN task force report: Update on the management of patients with gastrointestinal stromal tumors. J Natl Compr Canc Netw 2010;8 Suppl 2:S1‑41.

19. Yang CW, Liu XJ, Wei Y, Wan S, Ye Z, Yao S, et al. Use of computed tomography for distinguishing heterotopic pancreas from gastrointestinal stromal tumor and leiomyoma. Abdom Radiol (NY) 2021;46:168‑78.

20. Pinaikul S, Woodtichartpreecha P, Kanngurn S, Leelakiatpaiboon S. 1189 Gastrointestinal Stromal Tumor (GIST): Computed tomographic features and correlation of CT findings with histologic grade. J Med Assoc Thai 2014;97:1189‑98.

21. Vernuccio F, Taibbi A, Picone D, LA Grutta L, Midiri M, Lagalla R, et al. Imaging of gastrointestinal stromal tumors: From diagnosis to evaluation of therapeutic response. Anticancer Res 2016;36:2639‑48.

22. Xu J, Zhou J, Wang X, Fan S, Huang X, Xie X, et al. A multi‑class scoring system based on CT features for preoperative prediction in gastric gastrointestinal stromal tumors. Am J Cancer Res 2020;10:3867‑81.

23. Cai PQ, Lv XF, Tian L, Luo ZP, Mitteer RA Jr., Fan Y, et al. CT characterization of duodenal gastrointestinal stromal tumors. AJR Am J Roentgenol 2015;204:988‑93.

Similar Articles

You may also start an advanced similarity search for this article.