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ORIGINAL RESEARCH article

Front. Radiol.

Sec. Artificial Intelligence in Radiology

Volume 5 - 2025 | doi: 10.3389/fradi.2025.1635425

This article is part of the Research TopicEmerging Fast Medical Imaging Techniques in RadiologyView all 4 articles

The value of CT texture analysis in predicting mitotic activity and morphological variants of adrenocortical carcinoma

Provisionally accepted
Natalya  TarbaevaNatalya Tarbaeva1Almaz  ManaevAlmaz Manaev1,2Kseniya  IvashchenkoKseniya Ivashchenko1*Nadegda  PlatonovaNadegda Platonova1Dmitry  BeltsevichDmitry Beltsevich1Nano  PachuashviliNano Pachuashvili1Liliya  UrusovaLiliya Urusova1Natalya  MokryshevaNatalya Mokrysheva1
  • 1Endocrinology Research Center, Moscow, Russia
  • 2Nacional'nyj issledovatel'skij adernyj universitet Moskovskij inzenerno-fiziceskij institut, Moscow, Russia

The final, formatted version of the article will be published soon.

Adrenocortical carcinoma presents significant diagnostic challenges due to its histological heterogeneity and variable clinical behavior. This study aimed to evaluate the diagnostic value of radiomic features in predicting mitotic activity (low/high-grade) and morphological variants (conventional, oncocytic, myxoid) of adrenocortical carcinoma. A retrospective analysis of 32 patients with histologically confirmed ACC (18 conventional, 9 oncocytic and 5 myxoid cases) was performed, with mitotic data available for 25 cases (13 low-grade and 12 high-grade cases). Radiomic features including Gray-Level Co-occurrence Matrix (GLCM), Run-Length (GLRLM), Size-Zone (GLSZM), Dependence (GLDM), Neighboring-Tone (NGTDM) and first order features were extracted from fourphase CT using PyRadiomics after manual 3D segmentation. Statistical analysis (Mann-Whitney U, Kruskal-Wallis tests) and ROC curve (AUC, sensitivity, specificity) and PPV, NPV assessment revealed significant differences between tumor grades with firstorder_Skewness (AUC = 0.924, 95% CI: 0.819-0.986; p = 0.005) showing high predictive performance in the venous phase. Radiomic features did not show statistically significant differences between morphological variants of ACC after adjustment for multiple comparisons. Our results confirm the value of CT radiomics for preoperative stratification of ACC grade, but the question of differentiation of morphological variants remains unresolved and requires further validation in larger cohorts.

Keywords: сomputed tomography1, adrenocortical carcinoma2, radiomics3, low-grade4, high-grade5, conventional variant6, oncocytic variant7, myxoid variant8

Received: 26 May 2025; Accepted: 17 Jul 2025.

Copyright: © 2025 Tarbaeva, Manaev, Ivashchenko, Platonova, Beltsevich, Pachuashvili, Urusova and Mokrysheva. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Kseniya Ivashchenko, Endocrinology Research Center, Moscow, Russia

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