Automatically optimized radiomics modeling system for small gastric submucosal tumor (<2 cm) discrimination based on EUS images - 18/03/24
, Jinhua Yu, PhD 4, ⁎ , Pinghong Zhou, MD, PhD, FASGE 1, 2, ⁎ Abstract |
Background and Aims |
The clinical management of small gastric submucosal tumors (SMTs) (<2 cm) faces a non-negligible challenge because of the lack of guideline consensus and effective diagnostic tools. This article develops an automatically optimized radiomics modeling system (AORMS) based on EUS images to diagnose and evaluate SMTs.
Methods |
A total of 205 patients with EUS images of small gastric SMTs (<2 cm) were retrospectively enrolled in the development phase of AORMS for the diagnosis and the risk stratification of GI stromal tumor (GIST). A total of 178 patients with images from different centers were prospectively enrolled in the independent testing phase. The performance of AORMS was compared to that of endoscopists in the development set and evaluated in the independent testing set.
Results |
AORMS demonstrated an area under the curve (AUC) of 0.762 for the diagnosis of GIST and 0.734 for the risk stratification of GIST, respectively. In the independent testing set, AORMS achieved an AUC of 0.770 and 0.750 for the diagnosis and risk stratification of small GISTs, respectively. In comparison, the AUCs of 5 experienced endoscopists ranged from 0.501 to 0.608 for diagnosing GIST and from 0.562 to 0.748 for risk stratification. AORMS outperformed experienced endoscopists by more than 20% in diagnosing GIST.
Conclusions |
AORMS implements automatic parameter selection, which enhances its robustness and clinical applicability. It has demonstrated good performance in the diagnosis and risk stratification of GISTs, which could aid endoscopists in the diagnosis of small gastric SMTs (<2 cm).
Le texte complet de cet article est disponible en PDF.Abbreviations : AI, ACC, AORMS, AUC, CI, DCA, GIST, HPF, IQR, LR–, LR+, NPV, PPV, ROC, ROI, SMT, WHO
Plan
| Drs Cai, Song, and Deng are co-first authors of this work. Drs Zhong, Yu, and Zhou are co-corresponding authors of this work. |
Vol 99 - N° 4
P. 537 - avril 2024 Retour au numéro
Article précédent
- Association between time from esophageal food impaction to endoscopy and adverse events
- Walker D. Redd, Justin D. McCallen, Zeyun Xue, Akshatha Kiran, Trevor S. Barlowe, Craig C. Reed, Swathi Eluri, Evan S. Dellon
- Impact of EUS in liver transplantation workup for patients with unresectable perihilar cholangiocarcinoma
- David M. de Jong, Caroline M. den Hoed, Francois E.J.A. Willemssen, Maarten G.J. Thomeer, Marco J. Bruno, Bas Groot Koerkamp, Jeroen de Jonge, Ian P.J. Alwayn, Jeanin E. van Hooft, Frederik Hoogwater, Frans van der Heide, Akin Inderson, Frederike G.I. van Vilsteren, Lydi M.J.W. van Driel
Bienvenue sur EM-consulte, la référence des professionnels de santé.
L’accès au texte intégral de cet article nécessite un abonnement.
Déjà abonné à cette revue ?