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A novel color-aided system for diagnosis of early gastric cancer using magnifying endoscopy with narrow-band imaging.

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Surgical endoscopy 📖 저널 OA 28.1% 2021: 2/5 OA 2022: 3/10 OA 2023: 6/18 OA 2024: 4/18 OA 2025: 19/65 OA 2026: 26/81 OA 2021~2026 2024 Vol.38(11) p. 6541-6550
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출처

Zhang H, Ruan R, Fang J, Yu J, Chen S, Tao Y

📝 환자 설명용 한 줄

[BACKGROUND] The Pink Zone Pattern (PP) sign is a typical color alteration of early gastric cancer (EGC) under magnifying endoscopic narrow-band imaging (ME-NBI).

🔬 핵심 임상 통계 (초록에서 자동 추출 — 원문 검증 권장)
  • 연구 설계 cross-sectional

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↓ .bib ↓ .ris
APA Zhang H, Ruan R, et al. (2024). A novel color-aided system for diagnosis of early gastric cancer using magnifying endoscopy with narrow-band imaging.. Surgical endoscopy, 38(11), 6541-6550. https://doi.org/10.1007/s00464-024-11235-6
MLA Zhang H, et al.. "A novel color-aided system for diagnosis of early gastric cancer using magnifying endoscopy with narrow-band imaging.." Surgical endoscopy, vol. 38, no. 11, 2024, pp. 6541-6550.
PMID 39269480 ↗

Abstract

[BACKGROUND] The Pink Zone Pattern (PP) sign is a typical color alteration of early gastric cancer (EGC) under magnifying endoscopic narrow-band imaging (ME-NBI). By integrating the color changes (PP sign) with the "vessel plus surface (VS)" classification system, we developed an innovative diagnostic system for EGC and named it "Pink Microsurface Microvascular (PSV)" system. Here, we aimed to elucidate the diagnostic performance of the PSV system for EGC.

[METHODS] We conducted a single-center prospective clinical study (before-after design) consisting of 2 cross-sectional studies at 2 separate periods. In the before phase, 184 suspected lesions were evaluated using the VS system under ME-NBI; in the after phase, 183 suspected lesions were evaluated using the PSV system. We compared the diagnostic accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) between the VS group and the PSV group.

[RESULTS] The accuracy, sensitivity, specificity, PPV, and NPV of the VS system for EGC were 84.6%, 87.0%, 83.6%, 67.8%, and 94.2%, respectively, and those for the PSV system were 93.0%, 92.0%, 93.4%, 85.2%, and 96.6%, respectively. The accuracy, specificity, and PPV of the PSV system were superior to those of the VS system. However, the sensitivity and NPV did not significantly differ between the VS system and the PSV system. The VS system was inconclusive for 22 lesions (12.0%) and the PSV system was inconclusive for 11 lesions (6.0%). The PSV system could identify more suspicious lesions than the VS system.

[CONCLUSIONS] We propose a new PSV diagnostic system by combining the VS system and the PP sign. Compared with the VS system, the PSV system could identify more suspected lesions and improve the diagnostic performance of EGC.

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