Vollständiger Abstract
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Incidental findings in diagnostic imaging have become increasingly frequent due to the widespread use and growing sensitivity of computed tomography, magnetic resonance imaging, ultrasonography, and other imaging modalities. These findings may range from benign abnormalities without clinical consequences to previously unsuspected diseases capable of modifying diagnostic pathways, therapeutic decisions, and patient prognosis. This study analyzed the clinical impact of incidental imaging findings, emphasizing their relevance for timely diagnosis, risk stratification, follow-up, and treatment. A descriptive and analytical literature-based approach structured according to the Scientific Method was used, integrating evidence from systematic reviews, observational studies, population-based research, clinical guidelines, and consensus recommendations. The analysis considered incidental findings involving the lungs, brain, thyroid gland, liver, kidneys, adrenal glands, pancreas, vascular structures, and adnexa. The results showed substantial variability in the prevalence and clinical relevance of incidental abnormalities according to imaging modality and anatomical region. A structured pathway based on radiological characterization, clinical correlation, and risk stratification allowed findings to be classified into low-, intermediate-, and high-risk categories, each associated with different management strategies. Low-risk findings generally required no further evaluation, intermediate-risk abnormalities benefited from additional characterization or surveillance, and high-risk lesions justified specialist referral, biopsy, or definitive therapeutic intervention. The study also identified potential adverse consequences associated with inappropriate management, including diagnostic cascades, overdiagnosis, unnecessary procedures, increased healthcare utilization, and psychological burden. Overall, the findings support the importance of a risk-based, multidisciplinary, and patient-centered approach. Incidental findings should not automatically trigger extensive investigation; instead, management should be proportional to the probability of clinically significant disease and the expected benefit of intervention. Structured assessment may therefore improve timely diagnosis, reduce unnecessary procedures, and contribute to safer and more efficient therapeutic decision-making.
Bibliografischer Nachweis
Publikationsdaten
- Autor:innen
- Victor Daniel Velandia Ocaña, Juan Pablo Monroy Moreno, Nicolás Camilo Rivera Calvo, Natalia Restrepo Hinestrosa, Luis Roberto Hernández Mercado, Justin Santiago Palacios Moreira, María Fernanda Velásquez Barba, Alexa Fernanda Uriostegui Navarro
- Quelle
- IECCMEXICO
- Publikation
- 2026-01-01
- Band / Ausgabe
- Nicht angegeben
- Seiten
- Nicht angegeben
- ISSN / ISBN
- 3061-8045, 3061-8517
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Zitierfähiger Nachweis
Victor Daniel Velandia Ocaña, Juan Pablo Monroy Moreno, Nicolás Camilo Rivera Calvo, Natalia Restrepo Hinestrosa, Luis Roberto Hernández Mercado, Justin Santiago Palacios Moreira, María Fernanda Velásquez Barba, Alexa Fernanda Uriostegui Navarro (2026). Incidental Imaging Findings: Risk Stratification, Timely Diagnosis, and Clinical Decision-Making. IECCMEXICO. https://doi.org/10.64784/311