Developing and validating a computed tomography radiomics strategy to predict lymph node metastasis in pancreatic cancer

doi:10.4329/wjr.v17.i8.109373

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World Journal of Radiology

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World J Radiol. Aug 28, 2025; 17(8): 109373
Published online Aug 28, 2025. doi: 10.4329/wjr.v17.i8.109373

Table 1 Demographic characteristics of pancreatic cancer patients with or without lymph node metastasis, n (%)/mean ± SD/median (25^th-75^th percentiles)

Variables	PC with LNM (n = 61)	PC without LNM (n = 107)	P value
Age (years)	63.65 ± 10.95	61.72 ± 10.66	0.214¹
Gender			0.501²
Male	43 (70.5)	70 (65.4)
Female	18 (29.5)	37 (34.6)
Clinical symptoms
Abdominal pain	45 (73.8)	69 (64.5)	0.215²
Abdominal bloating or diarrhea	12 (19.7)	19 (17.8)	0.758²
Yellow urine or icterus	18 (29.5)	30(28.0)	0.839²
Marasmus	9 (14.8)	14 (13.1)	0.762²
Asymptomatic	22 (36.1)	31 (29.0)	0.341²
Tumor markers
CA125	22.80 (15.60-39.40)	20.50 (3.20-34.70)	0.325³
CA199	205.75 (43.90-954.8)	178.96 (39.98-832.67)	0.105³
CEA	4.59 (2.68-6.02)	3.99 (2.44-5.80)	0.432³
AFP	2.95 (2.11-4.54)	2.65 (1.85-4.04)	0.665³

¹Calculated with a t-test.

²Calculated with a Fisher’s exact test or an χ² test.

³Calculated with Mann-Whitney U test.

LNM: Lymph node metastasis; PC: Pancreatic cancer; CEA: Carcinoembryonic antigen; AFP: Alpha-fetoprotein.

Citation: Ren S, Qin B, Daniels MJ, Zeng L, Tian Y, Wang ZQ. Developing and validating a computed tomography radiomics strategy to predict lymph node metastasis in pancreatic cancer. World J Radiol 2025; 17(8): 109373
URL: https://www.wjgnet.com/1949-8470/full/v17/i8/109373.htm
DOI: https://dx.doi.org/10.4329/wjr.v17.i8.109373