Texture analysis of placental MRI: can it aid in the prenatal diagnosis of placenta accreta spectrum?
Purpose: To determine if texture analysis can differentiate placenta accreta spectrum (PAS) from normal placenta on MRI. Methods: We performed retrospective image analysis of 80 patients, comprised of 46 patients with PAS and 34 patients without PAS. Histopathology was used as the reference standard...
| Publicado en: | Abdominal Radiology Vol. 44; no. 9; pp. 3175 - 3185 |
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| Autores principales: | , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Sep2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=138030436&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 138030436 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 2366004X JT14 jtl: Abdominal Radiology issn: 2366004X maglogo: N pubinfo: dt: Sep2019 vid: 44 iid: 9 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 138030436 144029035 10.1007/s00261-019-02104-1 138030436 ppf: 3175 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Texture analysis of placental MRI: can it aid in the prenatal diagnosis of placenta accreta spectrum? aug: au: Chen, Eric Mar, Winnie A. Horowitz, Jeanne M. Allen, Amanda Jha, Priyanka Cantrell, Donald R. Cai, Kejia affil: College of Medicine, University of Illinois at Chicago, 1835 W Polk St, 60612, Chicago, IL, USA sug: ab: Purpose: To determine if texture analysis can differentiate placenta accreta spectrum (PAS) from normal placenta on MRI. Methods: We performed retrospective image analysis of 80 patients, comprised of 46 patients with PAS and 34 patients without PAS. Histopathology was used as the reference standard. Sagittal single shot fast spin echo T2-weighted MRI sequences acquired from a single institution were analyzed. Placental heterogeneity was quantified using in-house software on a Matlab platform, including the standard deviation of pixel intensity, coefficient of variation, gray-level co-occurrence matrices (GLCM), histogram-oriented gradients (HOG), and fractal analysis with box sizes from 2 to 512. Two-tailed unpaired Student's t test was used with statistical significance of p < 0.05. Results: PAS was associated with higher values for standard deviation of pixel intensity and fractal analysis at every box size. Fractal analysis at box sizes 256 (p = 0.011) and 32 (p = 0.021), and standard deviation of pixel intensity (p = 0.023) were the most statistically significant. Fractal values at box size 256 for PAS was 0.13 versus 0.090 for patients without PAS, while standard deviation of pixel intensity was 3.7 for PAS versus 2.5 for patients without PAS. No statistically significant association between PAS and GLCM, coefficient of variation, and HOG was found. Conclusion: Statistically significant differences were found between normal and abnormal groups using standard deviation of pixel intensity and fractal analysis. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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