» Articles » PMID: 37921924

Diagnostic Performance of Node Reporting and Data System (Node-RADS) for Regional Lymph Node Staging of Gastric Cancer by CT

Overview
Journal Eur Radiol
Specialty Radiology
Date 2023 Nov 3
PMID 37921924
Authors
Affiliations
Soon will be listed here.
Abstract

Objectives: Diagnostic performance of imaging for regional lymph node assessment in gastric cancer is still limited, and there is a lack of consensus on radiological evaluation. At the same time, there is an increasing demand for structured reporting using Reporting and Data Systems (RADS) to standardize oncological imaging. We aimed at investigating the diagnostic performance of Node-RADS compared to the use of various individual criteria for assessing regional lymph nodes in gastric cancer using histopathology as reference.

Methods: In this retrospective single-center study, consecutive 91 patients (median age, 66 years, range 33-91 years, 54 men) with CT scans and histologically proven gastric adenocarcinoma were assessed using Node-RADS assigning scores from 1 to 5 for the likelihood of regional lymph node metastases. Additionally, different Node-RADS criteria as well as subcategories of altered border contour (lobulated, spiculated, indistinct) were assessed individually. Sensitivity, specificity, and Youden's index were calculated for Node-RADS scores, and all criteria investigated. Interreader agreement was calculated using Cohen's kappa.

Results: Among all criteria, best performance was found for Node-RADS scores ≥ 3 and ≥ 4 with a sensitivity/specificity/Youden's index of 56.8%/90.7%/0.48 and 48.6%/98.1%/0.47, respectively, both with substantial interreader agreement (κ = 0.73 and 0.67, p < 0.01). Among individual criteria, the best performance was found for short-axis diameter of 10 mm with sensitivity/specificity/Youden's index of 56.8%/87.0%/0.44 (κ = 0.65, p < 0.01).

Conclusion: This study shows that structured reporting of combined size and configuration criteria of regional lymph nodes in gastric cancer slightly improves overall diagnostic performance compared to individual criteria including short-axis diameter alone. The results show an increase in specificity and unchanged sensitivity.

Clinical Relevance Statement: The results of this study suggest that Node-RADS may be a suitable tool for structured reporting of regional lymph nodes in gastric cancer.

Key Points: • Assessment of lymph nodes in gastric cancer is still limited, and there is a lack of consensus on radiological evaluation. • Node-RADS in gastric cancer improves overall diagnostic performance compared to individual criteria including short-axis diameter. • Node-RADS may be a suitable tool for structured reporting of regional lymph nodes in gastric cancer.

Citing Articles

Node-RADS category on preoperative CT predicts prognosis in patients with papillary renal cell carcinoma.

Li X, Lin D, Xiong Y, Lin W, Zhang S, Huang S Eur Radiol. 2025; .

PMID: 39979621 DOI: 10.1007/s00330-025-11446-y.


Value of Post-NAC CT-based Node-RADS score for Predicting residual lymph node metastasis and survival outcome of locally advanced gastric cancer.

Sun Y, Xiao H, Wen L, Xiang W, Luo X, Yang X Abdom Radiol (NY). 2025; .

PMID: 39948223 DOI: 10.1007/s00261-025-04843-w.


Diagnostic accuracy of node-RADS for the detection of lymph node invasion: a systematic review and meta-analysis.

Lu F, Zhao Y, Wang Z, Feng N Eur Radiol. 2025; .

PMID: 39878903 DOI: 10.1007/s00330-025-11387-6.


Node Reporting and Data System 1.0 (Node-RADS) for the Assessment of Oncological Patients' Lymph Nodes in Clinical Imaging.

Parillo M, Cosimo Quattrocchi C J Clin Med. 2025; 14(1.

PMID: 39797344 PMC: 11722337. DOI: 10.3390/jcm14010263.


Diagnostic Accuracy and Reliability of CT-based Node-RADS for Esophageal Cancer.

Leonhardi J, Schnarkowski B, Mehdorn M, Hohn A, Niebisch S, Plum P In Vivo. 2024; 39(1):353-359.

PMID: 39740864 PMC: 11705101. DOI: 10.21873/invivo.13835.


References
1.
Rawla P, Barsouk A . Epidemiology of gastric cancer: global trends, risk factors and prevention. Prz Gastroenterol. 2019; 14(1):26-38. PMC: 6444111. DOI: 10.5114/pg.2018.80001. View

2.
Bian L, Wu D, Chen Y, Ni J, Qu H, Li Z . Associations of radiological features of adipose tissues with postoperative complications and overall survival of gastric cancer patients. Eur Radiol. 2022; 32(12):8569-8578. DOI: 10.1007/s00330-022-08918-w. View

3.
Zhu J, Xue Z, Zhang S, Guo X, Zhai L, Shang S . Integrated analysis of the prognostic role of the lymph node ratio in node-positive gastric cancer: A meta-analysis. Int J Surg. 2018; 57:76-83. DOI: 10.1016/j.ijsu.2018.08.002. View

4.
Smyth E, Verheij M, Allum W, Cunningham D, Cervantes A, Arnold D . Gastric cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Ann Oncol. 2016; 27(suppl 5):v38-v49. DOI: 10.1093/annonc/mdw350. View

5.
Mazzei M, Bagnacci G, Gentili F, Capitoni I, Mura G, Marrelli D . Structured and shared CT radiological report of gastric cancer: a consensus proposal by the Italian Research Group for Gastric Cancer (GIRCG) and the Italian Society of Medical and Interventional Radiology (SIRM). Eur Radiol. 2021; 32(2):938-949. PMC: 8359760. DOI: 10.1007/s00330-021-08205-0. View