With the advent of cross-sectional imaging, incidental pancreatic cystic neoplasms
have become increasingly detectable. Serous cystic neoplasms (SCNs) and mucinous cystic
neoplasms (MCNs) are two common types of pancreatic cystic neoplasms (
1
). SCN is a benign neoplasm that does not require surgical treatment unless symptoms
related to the compression of adjacent organs are present (
2
). MCN is a precancerous lesion; therefore, surgical resection is generally recommended
(
2
,
3
). Using conventional imaging parameters, it is difficult to differentiate SCN from
MCN, especially when both are unilocular (
4
).Key Words
Abbreviations:
ADC (apparent diffusion coefficient), AIC (Akaike information criterion), AUC (area under the curve), BMI (body mass index), CI (confidence interval), CT (computed tomography), DCA (decision curve analysis), DWI (diffusion-weighted imaging), FOV (field of view), ICC (intraclass correlation coefficient), LASSO (least absolute shrinkage and selection operator), MCN (mucinous cystic neoplasms), MPD (main pancreatic duct), MRI (magnetic resonance imaging), NPV (negative predictive value), OR (odds ratio), PPV (positive predictive value), rad-scores (radiomics scores), ROI (regions of interest), SCN (serous cystic neoplasms), TE (time of echo), TR (time of repetition), T1WI (T1 weighted imaging), T2WI (T2 weighted imaging), VOI (volume of interest)To read this article in full you will need to make a payment
Purchase one-time access:
Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online accessOne-time access price info
- For academic or personal research use, select 'Academic and Personal'
- For corporate R&D use, select 'Corporate R&D Professionals'
Subscribe:
Subscribe to Academic RadiologyAlready a print subscriber? Claim online access
Already an online subscriber? Sign in
Register: Create an account
Institutional Access: Sign in to ScienceDirect
References
- Diagnosis and management of pancreatic cystic neoplasms: current evidence and guidelines.Nat Rev Gastroenterol Hepatol. 2019; 16: 676-689
- European study group on cystic tumors of the P. European evidence-based guidelines on pancreatic cystic neoplasms.Gut. 2018; 67: 789-804https://doi.org/10.1136/gutjnl-2018-316027
- Revisions of international consensus Fukuoka guidelines for the management of IPMN of the pancreas.Pancreatology. 2017; 17: 738-753
- MRI of mucinous pancreatic cystic lesions: a new updated morphological approach for the differential diagnosis.Updates Surg. 2020; 72: 617-637
- Pancreatic cystic neoplasm: the role of cyst morphology, cyst fluid analysis, and expectant management.Ann Surg Oncol. 2009; 16: 2818-2824
- Endoscopic ultrasound guided fine needle aspiration for the diagnosis of pancreatic cystic neoplasms: a meta-analysis.Pancreatology. 2013; 13: 48-57
- Pancreatic cystic lesions and malignancy: assessment, guidelines, and the field defect.Radiographics. 2022; 42: 87-105
- PET-MR imaging and MR texture analysis in the diagnosis of pancreatic cysts: aprospective preliminary study.Acad Radiol. 2020; 27: 996-1005
- Value of magnetic resonance imaging texture feature analysis in the differential diagnosis between pancreatic serous cystadenoma and mucinous cystadenoma.Zhongguo Yi Xue Ke Xue Yuan Xue Bao. 2018; 40: 187-193
- Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): explanation and elaboration.Ann Intern Med. 2015; 162: W1-W73
- Intraductal papillary mucinous tumor of the pancreas: differentiation of malignancy and benignancy by CT.Clin Radiol. 2006; 61776783
- Upper abdominal lymph nodes: criteria for normal size determined with CT.Radiology. 1991; 180: 319-322
- Computational radiomics system to decode the radiographic phenotype.Cancer Res. 2017; 77: e104-e107
- False discovery rates in PET and CT studies with texture features: asystematic review.PLoS One. 2015; 10e0124165
- CT texture analysis: definitions, applications, biologic correlates, and challenges.Radiographics. 2017; 37: 1483-4503
- A primer on model selection using the Akaike Information Criterion.Infect Dis Model. 2020; 5: 111-128
- Current concepts in molecular genetics and management guidelines for pancreatic cystic neoplasms: an essential update for radiologists.Abdom Radiol (NY). 2018; 43: 2351-2368
- Role of radiological imaging in the diagnosis and characterization of pancreatic cystic lesions: asystematic review.Pancreas. 2018; 47: 1055-1064
- Discrimination of unilocular macrocystic serous cystadenoma from pancreatic pseudocyst and mucinous cystadenoma with CT: initial observations.Radiology. 2003; 228 (‒33): 7277
- MRI features of serous oligocystic adenoma of the pancreas: differentiation from mucinous cystic neoplasm of the pancreas.Br J Radiol. 2012; 85: 571-576
- Diffusion-weighted magnetic resonance imaging in distinguishing between mucin-producing and serous pancreatic cysts.J Comput Assist Tomogr. 2016; 40: 505-512
- Added value of apparent diffusion coefficient in distinguishing between serous and mucin-producing pancreatic cystic neoplasms.Eur Radiol. 2019; 29: 4660-4669
- Serous cystic neoplasm of the pancreas: a multinational study of 2622 patients under the auspices of the International Association of Pancreatology and European Pancreatic Club (European study group on cystic tumors of the pancreas).Gut. 2016; 65: 305-312
- CT-based radiomics analysis for preoperative diagnosis of pancreatic mucinous cystic neoplasm and atypical serous cystadenomas.Front Oncol. 2021; 11621520
- Preoperative differentiation of pancreatic mucinous cystic neoplasm from macrocystic serous cystic adenoma using radiomics: preliminary findings and comparison with radiological model.Eur J Radiol. 2020; 122108747
- Differential diagnosis of pancreatic serous cystadenoma and mucinous cystadenoma: utility of textural features in combination with morphological characteristics.BMC Cancer. 2019; 19: 1223
- Pancreatic serous cystic neoplasms and mucinous cystic neoplasms: differential diagnosis by combining imaging features and enhanced CT texture analysis.Front Oncol. 2021; 11745001
Article info
Publication history
Published online: November 12, 2022
Accepted:
October 6,
2022
Received in revised form:
September 23,
2022
Received:
August 12,
2022
Publication stage
In Press Corrected ProofIdentification
Copyright
© 2022 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.