Title:Using Apparent Diffusion Coefficient (ADC) of Endometrial Cancer MRI to
Determine P53 Molecular Subtypes
Volume: 20
Author(s): Feiran Zhang, Tianping Wang, Yan Ning, Shengyong Li, Xiaojun Chen, Guofu Zhang and He Zhang*
Affiliation:
- Department of Radiology, Obstetrics and Gynecology Hospital, Fudan University, P.R. China
Keywords:
Endometrial neoplasms, Diffusion magnetic resonance imaging, Nomograms, Gene, p53, P53abn cancer.
Abstract:
Background:
Endometrial Cancer (EC) is a highly heterogeneous cancer comprising both histological and molecular subtypes. Using a non-invasive modality
method to trigger these subtypes as early as possible can aid clinicians in establishing individualized treatment.
Purpose:
The study aimed to clarify the value of the Apparent Diffusion Coefficient (ADC) of EC MRI in determining molecular subtypes.
Material and Methods:
We retrospectively recruited 109 patients with pathologically proven EC (78 endometrioid cancers and 31 non-endometrioid cancers) with
available molecular classification from a tertiary centre. MRI was prospectively performed a month prior to surgery; images were blindly
interpreted by two experienced radiologists with consensus reading. The ADC value was measured by an experienced radiologist on the
commercially available processing workstation. Interoperator measurement consistency was calculated.
Results:
Our sample comprised 17 PLOE, 32 MSI-H, 31 NSMP, and 29 P53abn ECs. Clinical information did not differ significantly among the groups.
The maximum diameter and volume of the lesions differed among the groups. The ADC value in the maximal area (ADCarea) or region of interest
(ROI, ADCroi) in the P53abn group was higher than that in the other groups (894.0 ±12.6 and 817.5 ± 83.3 x10-6 mm2/s). The ADC mean values
were significantly different between the P53abn group and the other groups (P = 0.000). The nomogram showed the highest discriminative ability
to distinguish P53abn EC from other types (AUC: 0.859).
Conclusion:
Our results have suggested the quantitative MR characteristics (ADC values) derived from preoperative EC MRI to provide useful information in
preoperatively determining P53abn cancer.
