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Diagnostic Value of Sound Speed Correction Endoscopic Ultrasound Compared With Other Endoscopic Ultrasound-Assisted Imaging Techniques in Solid Pancreatic Lesions.

기술보고 1/5 보강
Clinical and translational gastroenterology 📖 저널 OA 89.1% 2024: 5/5 OA 2025: 24/24 OA 2026: 20/26 OA 2024~2026 2026 Vol.17(1) p. e00947
Retraction 확인
출처

PICO 자동 추출 (휴리스틱, conf 4/4)

유사 논문
P · Population 대상 환자/모집단
240 patients with computed tomography/magnetic resonance imaging-confirmed SPL (solid portion >80% of lesion volume).
I · Intervention 중재 / 시술
nostic Value of Sound Speed Correction Endoscopic Ultrasound
C · Comparison 대조 / 비교
Other Endoscopic Ultrasound
O · Outcome 결과 / 결론
EG-EUS strain ratio lacks clinical robustness, whereas elastic strain value A warrants further validation. Tailoring imaging method selection to lesion characteristics (location, size, and stage) may optimize diagnostic outcomes.

Yao DW, Lu YH, Jiang HX, Qin MZ, Qin SY

📝 환자 설명용 한 줄

[INTRODUCTION] Sound speed correction endoscopic ultrasound (SSC-EUS) is a novel imaging technique with limited previous validation.

🔬 핵심 임상 통계 (초록에서 자동 추출 — 원문 검증 권장)
  • Sensitivity 82.8%
  • Specificity 78.9%

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↓ .bib ↓ .ris
APA Yao DW, Lu YH, et al. (2026). Diagnostic Value of Sound Speed Correction Endoscopic Ultrasound Compared With Other Endoscopic Ultrasound-Assisted Imaging Techniques in Solid Pancreatic Lesions.. Clinical and translational gastroenterology, 17(1), e00947. https://doi.org/10.14309/ctg.0000000000000947
MLA Yao DW, et al.. "Diagnostic Value of Sound Speed Correction Endoscopic Ultrasound Compared With Other Endoscopic Ultrasound-Assisted Imaging Techniques in Solid Pancreatic Lesions.." Clinical and translational gastroenterology, vol. 17, no. 1, 2026, pp. e00947.
PMID 41211815 ↗

Abstract

[INTRODUCTION] Sound speed correction endoscopic ultrasound (SSC-EUS) is a novel imaging technique with limited previous validation. The aim of this study was to evaluate the diagnostic efficacy of SSC-EUS for solid pancreatic lesions (SPL) and compare it with B-mode endoscopic ultrasound (B-EUS), elastography endoscopic ultrasound (EG-EUS), and contrast-enhanced endoscopic ultrasound (CE-EUS).

[METHODS] A prospective, single-blind, randomized trial included 240 patients with computed tomography/magnetic resonance imaging-confirmed SPL (solid portion >80% of lesion volume). Participants were equally divided into 4 groups (B-EUS, EG-EUS, CE-EUS, and SSC-EUS). Diagnostic thresholds were determined through receiver operating characteristic curves. Subgroup analyses assessed the impact of lesion location (head/body/tail), tumor size (≤3 vs >3 cm), and cancer stage (I/II vs III/IV). Statistical analysis used SPSS 23.0 and GraphPad Prism 8.

[RESULTS] Among 240 patients, 138 (57.5%) had malignant lesions. SSC-EUS achieved optimal diagnostic performance at a cutoff sound speed of 1,563 m/s (area under the receiver operating characteristic curve = 0.822, sensitivity = 82.8%, specificity = 78.9%, accuracy = 81.7%). CE-EUS demonstrated the highest overall efficacy (sensitivity = 90.3%, specificity = 82.8%, accuracy = 86.7%), followed by SSC-EUS and EG-EUS, both outperforming B-EUS (accuracy = 70.0%). Subgroup analysis revealed superior sensitivity for pancreatic body lesions (SSC-EUS: 87.5%; CE-EUS: 90.0%), tumors >3 cm (SSC-EUS: 84.2%; CE-EUS: 90.0%), and stage III/IV cancers (SSC-EUS: 81.8%; CE-EUS: 90.9%). EG-EUS strain ratio (cutoff = 4.44) showed limited accuracy (61.7%), whereas elastic strain value A (cutoff = 0.065%) exhibited moderate utility (accuracy = 75.0%).

[DISCUSSION] CE-EUS remains the most effective imaging modality for SPL diagnosis. SSC-EUS demonstrates comparable accuracy with EG-EUS and is particularly advantageous for larger tumors (>3 cm) and advanced-stage malignancies. EG-EUS strain ratio lacks clinical robustness, whereas elastic strain value A warrants further validation. Tailoring imaging method selection to lesion characteristics (location, size, and stage) may optimize diagnostic outcomes.

🏷️ 키워드 / MeSH 📖 같은 키워드 OA만

🏷️ 같은 키워드 · 무료전문 — 이 논문 MeSH/keyword 기반

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