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Eficacia de la colonoscopia mejorada por IA: un estudio de casos y controles utilizando evidencia del mundo real en

Maryam A Alahmad¹, Youstina A Ghoris¹, Colleen S Thomas²

¹Division of Gastroenterology and Hepatology, Sheikh Shakhbout Medical City, Abu Dhabi, United Arab Emirates.

Saudi journal of gastroenterology : official journal of the Saudi Gastroenterology Association

|February 4, 2026

Resumen

La detección asistida por ordenador (CADe) mejoró significativamente las tasas de detección de adenomas durante la colonoscopia en un entorno clínico del mundo real. Esta tecnología mejora la identificación de pólipos, especialmente en poblaciones más jóvenes sometidas a cribado.

Área de la Ciencia:

Gastroenterología
Tecnología Médica
Salud Pública

Sus antecedentes:

La colonoscopia con detección asistida por ordenador (CADe) muestra resultados prometedores en ensayos aleatorios para mejorar la detección de adenomas.
La eficacia de la colonoscopia CADe en el mundo real sigue siendo menos clara, especialmente en entornos clínicos diversos.
Este estudio evalúa la colonoscopia CADe en la región árabe con una edad de cribado temprana de 40 años.

Objetivo del estudio:

Evaluar la eficacia de la colonoscopia CADe en comparación con la colonoscopia rutinaria en un entorno de práctica clínica.
Determinar el impacto de CADe en el número de adenomas por colonoscopia (APC) y la tasa de detección de adenomas (ADR).
Evaluar el rendimiento de CADe en una población con una edad de cribado más temprana.

Principales métodos:

Se utilizó un diseño de estudio pragmático para comparar la colonoscopia CADe (GI Genius, Medtronic) con la colonoscopia rutinaria.
Se recopilaron datos de septiembre de 2021 a julio de 2023, emparejando 161 casos de CADe con 607 casos de rutina (relación 1:4).
Los criterios de valoración principales incluyeron el número de adenomas por colonoscopia (APC) y la tasa de detección de adenomas (ADR), con la puntuación de preparación intestinal de Boston como criterio de exclusión.

Principales resultados:

CADe aumentó significativamente la APC media (0,602 frente a 0,293; ratio de tasas 1,80) y la ADR (30,4 % frente a 16,8 %).
El ratio de riesgo ajustado para la ADR con CADe fue de 1,68 (P < 0,001).
No se observó ninguna diferencia significativa en el tiempo de retirada del colonoscopio entre los grupos.

Conclusiones:

La colonoscopia CADe mejora significativamente la detección de pólipos adenomatosos en un entorno clínico del mundo real.
Los hallazgos respaldan los ensayos controlados aleatorios, demostrando los beneficios de CADe en una población más joven sometida a cribado.
Este estudio contrasta con investigaciones recientes que sugieren beneficios limitados de CADe en el mundo real.

Palabras clave:

Detección de adenomas, adenomas avanzados y no avanzados, inteligencia artificial, colonoscopia, cáncer colorrectal, neoplasia colorrectal, aprendizaje profundo, ensayos controlados aleatorios, CADe en tiempo real

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