본문으로 건너뛰기
← 뒤로

Score based on contrast-enhanced ultrasound predict central lymph node metastasis in papillary thyroid cancer.

1/5 보강
Frontiers in endocrinology 📖 저널 OA 100% 2021: 2/2 OA 2022: 120/120 OA 2023: 125/125 OA 2024: 102/102 OA 2025: 137/137 OA 2026: 48/48 OA 2021~2026 2024 Vol.15() p. 1336787
Retraction 확인
출처

PICO 자동 추출 (휴리스틱, conf 2/4)

유사 논문
P · Population 대상 환자/모집단
684 patients were enrolled.
I · Intervention 중재 / 시술
추출되지 않음
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
[CONCLUSION] The score based on preoperative CEUS features of PTC may help to identify CLNM. The nomogram developed in this study provides a convenient and effective tool for clinicians to determine an optimal treatment regimen for patients with PTC.

He L, Chen X, Hu J, Meng Y, Zhang Y, Chen W

📝 환자 설명용 한 줄

[OBJECTIVES] To investigate the association between contrast-enhanced ultrasound (CEUS) features of PTC and central lymph node metastasis (CLNM) and to develop a predictive model for the preoperative

🔬 핵심 임상 통계 (초록에서 자동 추출 — 원문 검증 권장)
  • 표본수 (n) 191

이 논문을 인용하기

↓ .bib ↓ .ris
APA He L, Chen X, et al. (2024). Score based on contrast-enhanced ultrasound predict central lymph node metastasis in papillary thyroid cancer.. Frontiers in endocrinology, 15, 1336787. https://doi.org/10.3389/fendo.2024.1336787
MLA He L, et al.. "Score based on contrast-enhanced ultrasound predict central lymph node metastasis in papillary thyroid cancer.." Frontiers in endocrinology, vol. 15, 2024, pp. 1336787.
PMID 38699389 ↗

Abstract

[OBJECTIVES] To investigate the association between contrast-enhanced ultrasound (CEUS) features of PTC and central lymph node metastasis (CLNM) and to develop a predictive model for the preoperative identification of CLNM.

[METHODS] This retrospective study evaluated 750 consecutive patients with PTC from August 2020 to April 2023. Conventional ultrasound and qualitative CEUS features were analyzed for the PTC with or without CLNM using univariate and multivariate logistic regression analysis. A nomogram integrating the predictors was constructed to identify CLNM in PTC. The predictive nomogram was validated using a validation cohort.

[RESULTS] A total of 684 patients were enrolled. The 495 patients in training cohort were divided into two groups according to whether they had CLNM (pCLNM, n= 191) or not (nCLNM, n= 304). There were significant differences in terms of tumor size, shape, echogenic foci, enhancement direction, peak intensity, and score based on CEUS TI-RADS between the two groups. Independent predictive US features included irregular shape, larger tumor size (≥ 1.0cm), and score. Nomogram integrating these predictive features showed good discrimination and calibration in both training and validation cohort with an AUC of 0.72 (95% CI: 0.68, 0.77) and 0.79 (95% CI: 0.72, 0.85), respectively. In the subgroup with larger tumor size, age ≤ 35 years, irregular shape, and score > 6 were independent risk factors for CLNM.

[CONCLUSION] The score based on preoperative CEUS features of PTC may help to identify CLNM. The nomogram developed in this study provides a convenient and effective tool for clinicians to determine an optimal treatment regimen for patients with PTC.

🏷️ 키워드 / MeSH 📖 같은 키워드 OA만

같은 제1저자의 인용 많은 논문 (5)

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

🟢 PMC 전문 열기