PMID- 34456651
OWN - NLM
STAT- MEDLINE
DCOM- 20220224
LR  - 20220224
IS  - 1555-4317 (Electronic)
IS  - 1555-4309 (Print)
IS  - 1555-4309 (Linking)
VI  - 2021
DP  - 2021
TI  - Clinical Analysis of Improved Particle Swarm Algorithm-Based Magnetic Resonance 
      Imaging Diagnosis of Placenta Accreta.
PG  - 7373637
LID - 10.1155/2021/7373637 [doi]
LID - 7373637
AB  - The magnetic resonance imaging (MRI) image processing capabilities were 
      investigated based on the improved particle swarm optimization (IPSO) algorithm, 
      and the clinical application analysis of MRI images in the diagnosis of placenta 
      accreta (PA) was evaluated in this study. The MRI uterine images were detected on 
      the basis of IPSO. Besides, the clinical data of 89 patients with PA were 
      selected and collected, who were diagnosed by clinical cesarean section surgery 
      and pathological comprehensive diagnosis in hospital from January 2018 to July 
      2020. Then, all of them underwent the ultrasound (US) and MRI examinations, and 
      the differences of sensitivity, specificity, and accuracy between MRI and US 
      under IPSO in the diagnosis of PA were compared, as well as the differences in 
      the diagnosis of adhesive, implantable, and penetrated PA. The results showed 
      that the difference in detection between IPSO-based MRI images and US images was 
      not statistically substantial (p > 0.05), but the number of initial detections 
      was higher than the number of US examination. MRI examination had higher 
      sensitivity and specificity in the diagnosis of PA during pregnancy, especially 
      for implantable PA, compared with US examination (p < 0.05). In conclusion, MRI 
      images based on the improved particle swarm optimization algorithm showed a good 
      application effect in the diagnosis of placental implantation diseases, which was 
      worthy of further promotion in clinical practice.
CI  - Copyright (c) 2021 Xiaoyan Ding et al.
FAU - Ding, Xiaoyan
AU  - Ding X
AUID- ORCID: 0000-0002-7195-0850
AD  - Department of Obstetrics, Zibo Central Hospital, Zibo 255036, Shandong, China.
FAU - Cao, Yingying
AU  - Cao Y
AUID- ORCID: 0000-0003-4195-409X
AD  - Department of Obstetrics, Zibo Central Hospital, Zibo 255036, Shandong, China.
FAU - Sun, Fengtao
AU  - Sun F
AUID- ORCID: 0000-0002-1102-9058
AD  - Department of Obstetrics, Zibo Central Hospital, Zibo 255036, Shandong, China.
FAU - Ma, Airong
AU  - Ma A
AUID- ORCID: 0000-0001-7617-4953
AD  - Department of Obstetrics, Zibo Central Hospital, Zibo 255036, Shandong, China.
FAU - Zhang, Feiyue
AU  - Zhang F
AUID- ORCID: 0000-0002-1057-9082
AD  - Department of Obstetrics, Zibo Central Hospital, Zibo 255036, Shandong, China.
LA  - eng
PT  - Journal Article
DEP - 20210813
PL  - England
TA  - Contrast Media Mol Imaging
JT  - Contrast media & molecular imaging
JID - 101286760
SB  - IM
MH  - Adult
MH  - Algorithms
MH  - Cesarean Section
MH  - Female
MH  - Humans
MH  - *Image Processing, Computer-Assisted
MH  - *Magnetic Resonance Imaging
MH  - Middle Aged
MH  - Placenta/*diagnostic imaging/pathology
MH  - Placenta Accreta/*diagnosis/diagnostic imaging/pathology
MH  - Pregnancy
MH  - Ultrasonography, Prenatal/methods
MH  - Young Adult
PMC - PMC8378980
COIS- The authors declare that they have no conflicts of interest.
EDAT- 2021/08/31 06:00
MHDA- 2022/02/25 06:00
PMCR- 2021/08/13
CRDT- 2021/08/30 05:48
PHST- 2021/06/27 00:00 [received]
PHST- 2021/07/13 00:00 [revised]
PHST- 2021/08/04 00:00 [accepted]
PHST- 2021/08/30 05:48 [entrez]
PHST- 2021/08/31 06:00 [pubmed]
PHST- 2022/02/25 06:00 [medline]
PHST- 2021/08/13 00:00 [pmc-release]
AID - 10.1155/2021/7373637 [doi]
PST - epublish
SO  - Contrast Media Mol Imaging. 2021 Aug 13;2021:7373637. doi: 10.1155/2021/7373637. 
      eCollection 2021.