ROLE OF APPARENT DIFFUSION COEFFICIENT VALUE IN EVALUATING THE CONSISTENCY OF PITUITARY MACROADENOMA PRIOR TO SURGERY
Main Article Content
Abstract
Objective: To determine the sensitivity and specificity of apparent diffusion coefficient (ADC) in differentiating tumor consistency in pituitary macroadenomas (PMA). Methods: A retrospective descriptive case series was conducted at People's Hospital 115 from September 1st, 2019, to June 30th, 2025. Forty-three patients with pituitary macroadenomas, who underwent magnetic resonance imaging (MRI) and surgical treatment were included, comprising 21 soft consistency and 22 fibrous consistency tumors. ADC values were measured in the tumor area, normal temporal lobe white matter, and normal brainstem. Ratios of tumor ADC to white matter (rADCtr) and to brainstem (rADCtn) were calculated. ROC curve analysis was performed to determine optimal cut-off values for differentiating tumor consistency. Results: The minimum and mean ADC values of the tumor center (ADCumin, ADCutb), as well as rADCtr and rADCtn were significantly higher in soft consistency tumors compared with fibrous consistency tumors (p < 0.01). With cutoff points for ADCumin and ADCutb of 0.622 × 10⁻³ mm²/s (sensitivity 90.48%, specificity 54.55%) and 0.661 × 10⁻³ mm²/s (sensitivity 80.95%, specificity 63.64%) for differentiating the two PMA consistency groups. Similarly, a cutoff of 0.900 for the rADCtr ratio differentiated soft tumor consistency with sensitivity 76.19% and specificity 72.73%, and a cutoff of 0.833 for rADCtn (with sensitivity and specificity of 90.48% and 59.09%, respectively) also differentiated the two tumor consistency groups. Conclusion: ADC values of the tumor and their ratios to normal white matter or brainstem demonstrate relatively high diagnostic accuracy for differentiating tumor consistency in pituitary macroadenomas.
Article Details
Keywords
Diffusion-weighted imaging (DWI), apparent diffusion coefficient (ADC), pituitary macroadenoma (PMA), tumor consistency
References
2. Nguyễn Văn Phúc, Huỳnh Lê Phương, Phạm Ngọc Hoa, Trần Minh Thông, Cao Thiên Tượng. Khảo sát đặc điểm cộng hưởng từ khuếch tán về cấu trúc mô và tính xâm lấn xoang hang của u tuyến yên kích thước lớn. Tạp chí Y học Thành phố Hồ Chí Minh. 2012;16.
3. Buchfelder M, Schlaffer S, Zhao YJBP, Endocrinology RC, Metabolism. The optimal surgical techniques for pituitary tumors. 2019;33(2):101299.
4. Pierallini A, Caramia F, Falcone C, et al. Pituitary macroadenomas: preoperative evaluation of consistency with diffusion-weighted MR imaging—initial experience. 2006;239(1):223-231.
5. Rutland JW, Loewenstern J, Ranti D, et al. Analysis of 7-tesla diffusion-weighted imaging in the prediction of pituitary macroadenoma consistency. 2020;134(3):771-779.
6. Boxerman JL, Rogg JM, Donahue JE, Machan JT, Goldman MA, Doberstein CEJAJoR. Preoperative MRI evaluation of pituitary macroadenoma: imaging features predictive of successful transsphenoidal surgery. 2010;195(3):720-728.
7. Korbecki A, Wagel J, Zacharzewska-Gondek A, et al. Role of diffusion-weighted imaging in the diagnosis of pituitary region tumors. Neuroradiology. 2025;67(2):437-447.
8. Ding W, Huang Z, Zhou G, Li L, Zhang M, Li ZJNR. Diffusion-weighted imaging for predicting tumor consistency and extent of resection in patients with pituitary adenoma. 2021:1-9.
9. Barbosa MA, Pereira EGR, da Mata Pereira PJ, et al. Diffusion-weighted imaging does not seem to be a predictor of consistency in pituitary adenomas. 2024:1-10.
10. Gaia, F., Pokorny, G., Cortez, G. M., Zymberg, S. T., & Cruz, O. L. M. (2023). Prevalence and Imaging-Based Classification of Pituitary Adenomas with Hard Consistency: A Systematic Review and Meta-Analysis.