Literature DB >> 31397528

MRI of the Placenta Accreta Spectrum (PAS) Disorder: Radiomics Analysis Correlates With Surgical and Pathological Outcome.

Quyen N Do1, Matthew A Lewis1, Yin Xi1,2, Ananth J Madhuranthakam1,3, Sarah K Happe4, Jodi S Dashe4, Robert E Lenkinski1,3, Ambereen Khan1, Diane M Twickler1,4.   

Abstract

BACKGROUND: Placenta accreta spectrum (PAS) in women with previous cesarean delivery has become increasingly prevalent. Depending on the severity, patient management may involve cesarean hysterectomy.
PURPOSE: To investigate textural analyses as the radiomics in MRI of the placenta in predicting the PAS requiring cesarean hysterectomy in a high-risk population. STUDY TYPE: Retrospective. POPULATION: Sixty-two women with prior cesarean delivery referred for MRI because of sonographic suspicion for PAS. FIELD STRENGTH/SEQUENCE: 1.5T with T1 W, T2 W, and diffusion-weighted imaging (DWI). ASSESSMENT: Two reviewers independently evaluated MR images based on five established PAS variables. Placental regions of interest (ROIs) were generated on T2 W, DWI, and an apparent diffusion coefficient (ADC) map, based on definitions of areas of placenta in proximity to and remote from previous surgical incision sites. STATISTICAL TESTS: Reader agreement was assessed by simple kappa and prevalence adjusted bias adjusted kappa (PABAK). T-tests and chi-square analyses between the primary outcome (hysterectomy vs. no hysterectomy) were performed. Thirteen Haralick texture features calculated from gray-level co-occurrence matrixes were extracted from manually drawn placental ROIs within each of three MR acquisitions. Univariate and multivariable logistic regression were used to assess the association with cesarean hysterectomy.
RESULTS: Of 62 pregnancies at risk for PAS, 40 required cesarean hysterectomy (65%), with excellent correlation between need for hysterectomy and pathology confirmation of PAS in the hysterectomy specimen [κ = 0.82 (0.62, 1)]. Reader agreement was fair to moderate. Of the 13 Haralick variables within each of three acquisition groups, significant differences (P < 0.05) were seen in 22 of 39 parameters comparing placental ROIs in proximity to incision scar(s) to those ROIs remote from scar. A stepwise selection algorithm indicated that the combination of T2 W Fcm.sum.var , ADC Fcm.diff.entr , and DWI Fcm.energy gave the highest leave-one-out-AUC of 0.80 (0.68, 0.91). DATA
CONCLUSION: Assessment of PAS severity is subjective and dependent on radiologist expertise. We identified textural features on placental MR images in the region of the prior uterine scar that differentiated pregnancies requiring cesarean hysterectomy based on clinical suspicion of PAS from those that did not, suggesting predictive capabilities of these objective radiomics features. LEVEL OF EVIDENCE: 3 Technical Efficacy Stage: 1 J. Magn. Reson. Imaging 2020;51:936-946.
© 2019 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  MRI; morbidly adherent placenta; placenta; placenta accreta spectrum disorder; radiomics; texture analysis

Mesh:

Year:  2019        PMID: 31397528     DOI: 10.1002/jmri.26883

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  5 in total

1.  Assessing reproducibility in Magnetic Resonance (MR) Radiomics features between Deep-Learning segmented and Expert Manual segmented data and evaluating their diagnostic performance in Pregnant Women with suspected Placenta Accreta Spectrum (PAS).

Authors:  Yin Xi; Maysam Shahedi; Quyen N Do; James Dormer; Matthew A Lewis; Baowei Fei; Catherine Y Spong; Ananth J Madhuranthakam; Diane M Twickler
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2021-02-15

2.  Deep learning-based segmentation of the placenta and uterus on MR images.

Authors:  Maysam Shahedi; Catherine Y Spong; James D Dormer; Quyen N Do; Yin Xi; Matthew A Lewis; Christina Herrera; Ananth J Madhuranthakam; Diane M Twickler; Baowei Fei
Journal:  J Med Imaging (Bellingham)       Date:  2021-09-25

3.  Prediction of placenta accreta spectrum using texture analysis on coronal and sagittal T2-weighted imaging.

Authors:  Hainan Ren; Naoko Mori; Shunji Mugikura; Hiroaki Shimizu; Sakiko Kageyama; Masatoshi Saito; Kei Takase
Journal:  Abdom Radiol (NY)       Date:  2021-07-30

4.  MRI-Based Radiomics Analysis for Intraoperative Risk Assessment in Gravid Patients at High Risk with Placenta Accreta Spectrum.

Authors:  Caiting Chu; Ming Liu; Yuzhen Zhang; Shuhui Zhao; Yaqiong Ge; Wenhua Li; Chengjin Gao
Journal:  Diagnostics (Basel)       Date:  2022-02-14

5.  Normative placental structure in pregnancy using quantitative Magnetic Resonance Imaging.

Authors:  Nickie Andescavage; Kushal Kapse; Yuan-Chiao Lu; Scott D Barnett; Marni Jacobs; Alexis C Gimovsky; Homa Ahmadzia; Jessica Quistorff; Catherine Lopez; Nicole Reinholdt Andersen; Dorothy Bulas; Catherine Limperopoulos
Journal:  Placenta       Date:  2021-07-31       Impact factor: 3.287

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.