PMID- 35748200
OWN - NLM
STAT- MEDLINE
DCOM- 20220627
LR  - 20221108
IS  - 1305-3612 (Electronic)
IS  - 1305-3825 (Print)
IS  - 1305-3825 (Linking)
VI  - 28
IP  - 3
DP  - 2022 May
TI  - MR quantitative 3D shape analysis helps to distinguish mucinous cystic neoplasm 
      from serous oligocystic adenoma.
PG  - 193-199
LID - 10.5152/dir.2022.20738 [doi]
AB  - PURPOSE We aimed to assess the performance of quantitative 3D shape analysis in 
      the differential diagno- sis of pancreatic serous oligocystic adenoma (SOA) and 
      mucinous cystic neoplasm (MCN). METHODS Four hundred thirty-two patients 
      diagnosed with serous cystic neoplasms (SCNs) or MCNs were retrospectively 
      reviewed from August 2014 to July 2019 and finally 87 patients with MCNs (n = 45) 
      and SOAs (n = 42) were included. Clinical data and magnetic resonance morphologic 
      fea- tures with 3D shape analysis of lesions (shape sphericity, compacity, and 
      volume) were recorded and compared between MCNs and SOAs according to the 
      pathology. Univariable and multivari- able regression analyses were used to 
      identify independent impact factors for differentiating MCN from SOA. RESULTS The 
      age of MCN patients was younger than SOAs (43.02 +/- 10.83 years vs. 52.78 +/- 12.31 
      years; OR = 0.275; 95% CI: 0.098-0.768; P = .014). MCN has a higher female/male 
      ratio than SOA (43/2 vs. 27/15; OR = 40.418; 95% CI: 2.704-604.171; P = .007) and 
      was more often located in the distal of pancreas (OR = 31.403; 95% CI: 
      2.985-330.342; P = .004). Shape_Sphericity derived from 3D shape analysis was a 
      significant independent factor in the multivariable analysis and the value of MCN 
      was closer to 1 than SOA (OR = 35.153; 95% CI: 5.301-237.585; P < .001). Area 
      under the receiver operating characteristic curve (AUC) of Shape_Sphericity was 
      0.923 (optimal cutoff value was 0.964876). CONCLUSION Shape_Sphericity in 
      combination with age, sex, and location could help to distinguish MCN from SOA.
FAU - Zhu, Shuo
AU  - Zhu S
AD  - Department of Radiology, Zhongshan Hospital, Fudan University, and Shanghai 
      Institute of Medical Imaging, Shanghai, China.
FAU - Wang, Wen-Tao
AU  - Wang WT
AD  - Department of Radiology, Zhongshan Hospital, Fudan University, and Shanghai 
      Institute of Medical Imaging, Shanghai, China.
FAU - Wu, Wen-Chuan
AU  - Wu WC
AD  - Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, 
      China.
FAU - Lou, Wen-Hui
AU  - Lou WH
AD  - Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, 
      China.
FAU - Zeng, Meng-Su
AU  - Zeng MS
AD  - Department of Radiology, Zhongshan Hospital, Fudan University, and Shanghai 
      Institute of Medical Imaging, Shanghai, China.
FAU - Rao, Sheng-Xiang
AU  - Rao SX
AD  - Department of Radiology, Zhongshan Hospital, Fudan University, and Shanghai 
      Institute of Medical Imaging, Shanghai, China.
LA  - eng
PT  - Journal Article
PL  - Turkey
TA  - Diagn Interv Radiol
JT  - Diagnostic and interventional radiology (Ankara, Turkey)
JID - 101241152
SB  - IM
MH  - *Adenoma/diagnostic imaging
MH  - Adult
MH  - Female
MH  - Humans
MH  - Magnetic Resonance Imaging
MH  - Male
MH  - Middle Aged
MH  - Pancreas/pathology
MH  - *Pancreatic Neoplasms/diagnostic imaging/pathology
MH  - Retrospective Studies
PMC - PMC9634914
COIS- Conflict of interest disclosure The authors declared no conflicts of interest.
EDAT- 2022/06/25 06:00
MHDA- 2022/06/28 06:00
PMCR- 2022/05/01
CRDT- 2022/06/24 04:42
PHST- 2022/06/24 04:42 [entrez]
PHST- 2022/06/25 06:00 [pubmed]
PHST- 2022/06/28 06:00 [medline]
PHST- 2022/05/01 00:00 [pmc-release]
AID - dir-28-3-193 [pii]
AID - 10.5152/dir.2022.20738 [doi]
PST - ppublish
SO  - Diagn Interv Radiol. 2022 May;28(3):193-199. doi: 10.5152/dir.2022.20738.