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15 March 2024: Meta-Analysis

Accuracy of MRI-Based Radiomics in Diagnosis of Placenta Accreta Spectrum: A PRISMA Systematic Review and Meta-Analysis

Liqiong Huang AE , Lin Ma F , Qin Zhou F , Yi Hu B , Lirong Hu B , Yang Luo C , Yan Li AD*

DOI: 10.12659/MSM.943461

Med Sci Monit 2024; 30:e943461

Table 1 The baseline characteristic of included studies.

AuthorCountryStudy periodNo.AgeGestational age (Weeks)TPFPFNTN
Romeo, 2019Italy2013–20186434.4±4.934.6±2.3191143
Sun, 2019China2015–20176230.3 (21–38)32.5(24.1–36.0)323423
Ren, 2021Japan2010–201980Normal: 35±4.95, PAS: 35±4.81Normal: 32±2.84, PAS: 29±3.72273347
Shao, 2021ChinaNR34Normal: 33.26±5.02, PAS: 35.02±4.94NR201112
Xuan, 2021China2017–2020163NR>30549595
Peng, 2022China2014–2021138Normal: 32(22–43), PAS: 34(24–46)Normal: 35(15–39), PAS: 35(12–39)4443159
Wang, 2023China2015–201813133.22±4.6137.62±2.3635101076
Romeo, 2019Philips 1.5TSagittal, coronal T2- weighted TSEManual two-dimensionalK nearest neighbor
Sun, 2019Philips 1.5TSagittal T2- weighted TSE and bTFESemi-automated three-dimensionalA genetic algorithm-based automated machine learning
Ren, 2021Philips 1.5TAxial, coronal, sagittal planes of T2WIsManual two-dimensional, slice by sliceSupport vector machine
Shao, 2021NR, 1.5TSagittal T2- weighted FSEManual two-dimensionalRandom forest
Xuan, 2021Philips 1.5T, GE 1.5TT2 sequences of transverse, coronal, and sagittalAutomatedMachine learning
Peng, 2022Philips, 3.0TSagittal, transverse oblique, and coronal planes, T2WIsManual two-dimensionalMRI–radiomics–clinical–based nomogram
Wang, 2023Siemens,1.5T; Philips, 3.0T; GE, 1.5TSagittal T2WIsManual two-dimensionalDeep learning
NTP – true positive value; FP – false positive value; FN – false negative value; TN – true negative value; NR – no reported; PAS – placenta accreta spectrum.

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Medical Science Monitor eISSN: 1643-3750
Medical Science Monitor eISSN: 1643-3750