RESUMEN
RATIONALE: Large extremity hematoma can rarely happen after contrast extravasation during a contrast-enhanced computed tomography scan. Some hematomas need prompt surgical managements. PATIENT CONCERNS: A 77-year-old man had acute ischemic stroke and received the thrombolytic and antiplatelet therapies. He had a contrast extravasation during the computed tomography scan and developed a large hematoma in the right forearm, despite without evidence of compartment syndrome. DIAGNOSIS: Right forearm hematoma, status post contrast extravasation. INTERVENTIONS: The patient responded poorly to the routine care with arm elevation, cold pack, and wet dressing, and was finally treated by the surgical debridement, vacuum sealing drainage, fascioplasty, and skin flap repair. OUTCOMES: Right forearm wound healed with a scar. LESSONS: Large extremity hematoma can happen after contrast extravasation during computed tomography scan, which may require surgical treatments. Careful preparation, close monitor, and prompt managements should be applied in high-risk patients.
Asunto(s)
Extravasación de Materiales Terapéuticos y Diagnósticos , Antebrazo , Hematoma , Humanos , Masculino , Anciano , Extravasación de Materiales Terapéuticos y Diagnósticos/cirugía , Hematoma/cirugía , Hematoma/etiología , Antebrazo/cirugía , Tomografía Computarizada por Rayos X , Medios de Contraste/efectos adversosRESUMEN
PURPOSE: To evaluate the performance of a dual-energy (DE) calcium removal software based on a modified three-material decomposition algorithm in assessing the stenosis of the internal carotid artery (ICA) in comparison with mixed images using digital subtraction angiography (DSA) as the reference standard. METHODS: Forty-six patients (38 men; 67±8 years old), including 154 calcified ICA segments C1-C2 (59), C3-C5 (63), C6 (24), and C7 (8), were recruited in this retrospective study. Mixed images and virtual non-calcium (VNCa) images using the modified dual-energy computed tomography (DECT) algorithm were reconstructed. The differences between VNCa and DSA images vs. mixed and DSA images of degree of stenosis were compared. The intraclass correlation coefficient (ICC) was used for assessing the agreement between VNCa, mixed images, and DSA. RESULTS: The degree of stenosis differed significantly between mixed and DSA images in the C3-C5 (30%±17.9% vs. 23.0%±16.9%, p = 0.026) and C6 (38.3%±15.4% vs. 28.5%±13.3%, p = 0.023) segments. The stenosis of VNCa images showed no significant difference with DSA images in all segments (all p > 0.05). The ICCs between VNCa and DSA images (0.86-0.97) were higher than those between the mixed and DSA images (0.68-0.96) in all segments. CONCLUSION: The performance of a modified three-material decomposition DECT algorithm for calcium removal in ICA stenosis evaluation, particularly for the C3-C5 and C6 ICA segments, was promising.