Objetivo: describir los hallazgos de imagen clave en los estudios de RM estructural de las demen- cias de origen neurodegenerativo más frecuentes: enfermedad de Alzheimer, demencia vascular, demencia de cuerpos de Lewy, variantes de la demencia frontotemporal, parálisis supranu- clear progresiva, variantes de la atrofia multisistémica, parkinson-demencia y degeneración corticobasal.
Conclusión: El papel de la resonancia magnética hoy en día ya no está limitado a excluir causas subyacentes de deterioro cognitivo, sino que puede mostrar patrones de atrofia y otros datos con un alto valor predictivo para determinadas demencias que, aunque no son específicos ni únicos de cada patología, pueden ayudar a confirmar una sospecha diagnóstica o a identificar inicios tempranos de determinados procesos. Por ello es importante que los radiólogos conozcan los hallazgos típicos de las demencias más frecuentes.

Palabras clave: Resonancia magnética; Atrofia; Demencia; Enfermedad de Alzheimer; Parálisis supranuclear progresiva; Demencia vascular; Atrofia multisistémica; Enfermedad de Parkinson; Demencia frontotemporal

Purpose:
To develop, implement, and evaluate feedback for an artificial intelligence (AI) workshop for radiology residents that has been designed as a condensed introduction of AI fundamentals suitable for integration into an existing residency curriculum.

Materials and Methods:
A 3-week AI workshop was designed by radiology faculty, residents, and AI engineers. The workshop was integrated into curricular academic half-days of a competency-based medical education radiology training program. The workshop consisted of live didactic lectures, literature case studies, and programming examples for consolidation. Learning objectives and content were developed for foundational literacy rather than technical proficiency. Identical prospective surveys were conducted before and after the workshop to gauge the participants’ confidence in understanding AI concepts on a five-point Likert scale. Results were analyzed with descriptive statistics and Wilcoxon rank sum tests to evaluate differences.

Results:
Twelve residents participated in the workshop, with 11 completing the survey. An average score of 4.0 ± 0.7 (SD), indicating agreement, was observed when asking residents if the workshop improved AI knowledge. Confidence in understanding AI concepts increased following the workshop for 16 of 18 (89%) comprehension questions (P value range: .001 to .04 for questions with increased confidence).

Results:
A total of 970 isolated lesions in 878 women (mean age, 42 years 6 14 [SD]) were included. The malignancy rate for classic lesions was less than 1%. Of 970 lesions, 53 (6%) were malignant. The malignancy rate for nonclassic lesions was 32% (33 of 103) when blood flow was present and 8% (16 of 194) without blood flow (P , .001). For women older than 60 years, the malignancy rate was 50% (10 of 20 lesions) when blood flow was present and 13% (five of 38) without blood flow (P = .004). The sensitivity, specificity, positive predictive value, and negative predictive value of the classic-versus-nonclassic schema was 93% (49 of 53 lesions), 73% (669 of 917 lesions), 17% (49 of 297 lesions), and 99% (669 of 673 lesions), respectively, for detection of malignancy.

Conclusion:
An introductory AI workshop was developed and delivered to radiology residents. The workshop provided a condensed introduction to foundational AI concepts, developed positive perception, and improved confidence in AI topics.