Role of apparent diffusion coefficient (ADC) and MRI-derived parameters in identifying p53-abnormal subtypes of endometrial cancer.
Assessing tumor ADC values on MRI can help predict p53-abnormal subtypes in endometrial cancer with high sensitivity and reasonable specificity.
Where it sits
this study against the rest of the epitalon (epithalon) corpusSummary and findings
This study measured the predictive value of MRI-derived apparent diffusion coefficients (ADC) in differentiating p53-abnormal (P53abn) and non-P53abn subtypes in 115 patients with endometrial cancer (EC). The analysis found lower ADC values in the P53abn group compared to the non-P53abn group. The best cutoff point of ADC for discrimination was 695, with a sensitivity of 100% and specificity of 83%.
Abstract
<h4>Background</h4>Non-invasive imaging techniques such as magnetic resonance imaging (MRI) offer advantages over repeated biopsies for assessing tumor characteristics, though histological and molecular analysis remain the diagnostic gold standard. Since P53 expression is an important prognostic factor linked to the histopathological patterns of endometrial cancer (EC), using MRI-derived indices to distinguish between TP53-mutated (P53abn) and non-P53abn subtypes is clinically practical. This study aimed to determine the predictive value of MRI-based markers, especially apparent diffusion coefficients (ADC), for differentiating P53abn and non-P53abn subtypes in patients with EC.<h4>Methods</h4>This retrospective study was performed on 115 patients with known EC. All MR imaging studies were performed on 1.5 T MR imaging units. The presence of p53abn subtype was determined by immunohistochemical staining (IHC). Data were analyzed using R version 4.4.1.<h4>Results</h4>A statistically significant difference was observed in mean ADC values between patients with and without p53abn by IHC, with notably lower ADC values in the P53abn group. However, no significant association was identified between P53abn status and other imaging parameters, such as mass T2, outer myometrium T2, or the mass-to-psoas intensity ratio. Multivariable logistic regression analysis identified ADC value and tumor's histological subtype as the primary determinants of p53abn EC. ROC curve analysis further demonstrated that ADC measurement could effectively predict p53abn. The best cutoff point of ADC to discrimination was 695, yielding a sensitivity of 100% and specificity of 83%.<h4>Conclusion</h4>In patients with EC, assessing tumor ADC values on MRI can serve as a valuable tool for predicting p53abn subtype.
Background
This paper addresses the clinical question of how non-invasive imaging techniques, particularly MRI, can be utilized to assess tumor characteristics in endometrial cancer (EC). Prior research has established the importance of P53 expression as a prognostic factor in EC, but the utility of MRI-derived indices for distinguishing between P53-abnormal and non-P53-abnormal subtypes has not been fully explored. This study is significant as it aims to enhance diagnostic accuracy and reduce the need for invasive procedures.
Methods
This retrospective study included 115 patients diagnosed with endometrial cancer. All MR imaging studies were conducted on 1.5 T MR imaging units. The presence of the p53-abnormal subtype was determined through immunohistochemical staining. Data analysis was performed using R version 4.4.1, focusing on the predictive value of ADC and other imaging parameters.
Results
A statistically significant difference was observed in mean ADC values between patients with p53-abnormal and non-p53-abnormal subtypes. The best cutoff point of ADC for discrimination was 695, with a sensitivity of 100% and specificity of 83%. No significant association was found between P53abn status and other imaging parameters.
Interpretation
The findings suggest that ADC values can effectively differentiate between p53-abnormal and non-p53-abnormal subtypes of endometrial cancer. While the sensitivity and specificity are promising, the clinical significance of these findings should be interpreted with caution due to the retrospective nature of the study and potential confounding factors. Further prospective studies are needed to validate these results and assess their applicability in clinical practice.
Key findings
- Mean ADC values were lower in the P53abn group compared to the non-P53abn group.
- Best cutoff point of ADC for discrimination was 695.
- Sensitivity of ADC measurement was 100%.
- Specificity of ADC measurement was 83%.
- Statistically significant difference in mean ADC values between P53abn and non-P53abn subtypes.
- No significant association between P53abn status and other imaging parameters.
Limitations
- Retrospective study design.
- Potential biases inherent in retrospective analyses.
- Not reported in abstract.