Multimodal radiomics and cyst fluid inflammatory markers model to predict preoperative risk in intraductal papillary mucinous neoplasms
JOURNAL OF MEDICAL IMAGING, cilt.7, sa.3, 2020 (ESCI, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 7 Sayı: 3
- Basım Tarihi: 2020
- Doi Numarası: 10.1117/1.jmi.7.3.031507
- Dergi Adı: JOURNAL OF MEDICAL IMAGING
- Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Scopus, Compendex, EMBASE, INSPEC
- Anahtar Kelimeler: radiomics, cyst fluid, quantitative image analysis, intraductal papillary mucinous neoplasms, pancreas, INTERNATIONAL CONSENSUS GUIDELINES, PANCREATIC CYSTS, FOLLOW-UP, MANAGEMENT, IPMN, VALIDATION, DYSPLASIA, NEUTROPHILS, CARCINOMA, UTILITY
- İstanbul Üniversitesi-Cerrahpaşa Adresli: Hayır
Özet
Purpose: Our paper contributes to the burgeoning field of surgical data science. Specifically, multimodal integration of relevant patient data is used to determine who should undergo a complex pancreatic resection. Intraductal papillary mucinous neoplasms (IPMNs) represent cystic precursor lesions of pancreatic cancer with varying risk for malignancy. We combine previously defined individual models of radiomic analysis of diagnostic computed tomography (CT) with protein markers extracted from the cyst fluid to create a unified prediction model to identify high-risk IPMNs. Patients with high-risk IPMN would be sent for resection, whereas patients with low-risk cystic lesions would be spared an invasive procedure.