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Improved Image Quality of Virtual Monochromatic Images with Deep Learning Image Reconstruction Algorithm on Dual-Energy CT in Patients with Pancreatic Ductal Adenocarcinoma.

1/5 보강
Journal of imaging informatics in medicine 📖 저널 OA 40.6% 2024: 3/3 OA 2025: 9/27 OA 2026: 16/39 OA 2024~2026 2026 Vol.39(1) p. 815-826 OA
Retraction 확인
출처

PICO 자동 추출 (휴리스틱, conf 3/4)

유사 논문
P · Population 대상 환자/모집단
환자: histologically confirmed PDAC who underwent multiphasic contrast-enhanced DECT between 2019 and 2022 were retrospectively analyzed
I · Intervention 중재 / 시술
multiphasic contrast-enhanced DECT between 2019 and 2022 were retrospectively analyzed
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
DLIR significantly improved the image quality of VMIs on DECT by reducing image noise and increasing CNR, particularly at lower keV levels. These improvements may improve PDAC detection and assessment, making it a valuable tool for pancreatic cancer imaging.

Sofue K, Ueshima E, Ueno Y, Yamaguchi T, Hori M, Murakami T


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