Placenta Accreta Spectrum Disorders and Radiomics: Systematic review and quality appraisal
Abstract
Purpose Ultrasound and magnetic resonance imaging are the imaging modalities of choice for placenta accrete spectrum (PAS) disorders assessment. Radiomics could further increase the value of medical images and allow to overcome the limitations linked to their visual assessment. Aim of this systematic review was to identify and appraise the methodological quality of radiomics studies focused PAS disorders applications.Method Three online databases (PubMed, Scopus and Web of Science) were searched to identify original research articles on human subjects published in English. For the qualitative synthesis of results, data regarding study design (e.g., retrospective or prospective), purpose, patient population (e.g., sample size), imaging modalities and radiomics pipelines (e.g., segmentation and feature extraction strategy) were collected. The appraisal of methodological quality was performed using the Radiomics Quality Score (RQS).Results 10 articles were finally included and analyzed. All were retrospective and MRI-powered. The majority included more than 100 patients (6/10). Four were prognostic (focused on either the prediction of bleeding volume or the prediction of needed management) while six diagnostic (PAS vs not PAS classification) studies. The median RQS was 8, with maximum and minimum respectively equal to 17/36 and - 6/36. Major methodological concerns were the lack of feature stability to multiple segmentation testing and poor data openness.Conclusions Radiomics studies focused on PAS disorders showed a heterogeneous methodological quality, overall lower than desirable. Furthermore, many relevant research questions remain unexplored. More robust investigations are needed to foster advancements in the field and possibly clinical translation.
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A recent systematic review included 10 studies on radiomics in PAS.
“These were summarised in a recent systematic review, which included 10 studies [14].”
From Radiomics-based prediction of FIGO grade for placenta accreta spectrum (2023) · cites this paper as [14]
Many radiomics PAS studies were limited by significant heterogeneity in how PAS was defined, with only two studies reporting histological data, the reference standard.
“Many were limited by the significant heterogeneity in how PAS was defined, with only two studies reporting on histological data, which is considered the reference standard in diagnosing PAS [14, 15].”
From Radiomics-based prediction of FIGO grade for placenta accreta spectrum (2023) · cites this paper as [14]
The systematic review highlighted varying methodological quality of radiomics PAS studies to date.
“The review highlighted the varying methodological quality of the radiomics PAS studies to date [14].”
From Radiomics-based prediction of FIGO grade for placenta accreta spectrum (2023) · cites this paper as [14]
It is unclear what clinical or histopathological criteria were used to define PAS in many of these studies.
“Hence it is unclear what clinical or histopathological criteria were used to define PAS in many of these studies [14].”
From Radiomics-based prediction of FIGO grade for placenta accreta spectrum (2023) · cites this paper as [14]
Studies in the systematic review on PAS radiomics had a median RQS score of 23%.
“the studies in the systematic review on PAS radiomics having a median RQS score of 23% [14]”
From Radiomics-based prediction of FIGO grade for placenta accreta spectrum (2023) · cites this paper as [14]
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References 38 · Cited by 22
- Authors
- Stanzione, A., Verde, F., Cuocolo, R., Romeo, V., Paolo Mainenti, P., Brunetti, A., & Maurea, S.
- Affiliations
- University of Naples Federico II (IT)
- University of Salerno (IT)
- Corresponding author
- Verde, Francesco
- Venue
- European Journal of Radiology
- Publisher
- Elsevier BV
- Published
- 2022-10
- Volume
- 155
- Pages
- 110497
- ISSN
- 0720-048X (ISSN-L)
- OpenAlex
- W4292622287
- Cited by
- 22
- References
- 38
- Citations by year
- 2026: 5 · 2025: 3 · 2024: 7 · 2023: 5 · 2022: 2
- FWCI
- 0.72
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- European Journal of Radiology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiomics and Machine Learning in Medical Imaging
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Maternal and fetal healthcare
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiology practices and education
- Keywords
- placenta accreta spectrum, radiomics, methodological quality, radiomics quality score, magnetic resonance imaging, ultrasound, feature extraction, diagnostic classification, feature stability
- MeSH terms
- Female, Humans, Magnetic Resonance Imaging, Placenta Accreta, Pregnancy, Prognosis, Prospective Studies, Retrospective Studies
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