Association between CT-texture-derived tumor heterogeneity, outcomes, and BRCA mutation status in patients with high-grade serous ovarian cancer Journal Article

   

Authors:	Meier, A.; Veeraraghavan, H.; Nougaret, S.; Lakhman, Y.; Sosa, R.; Soslow, R. A.; Sutton, E. J.; Hricak, H.; Sala, E.; Vargas, H. A.
Article Title:	Association between CT-texture-derived tumor heterogeneity, outcomes, and BRCA mutation status in patients with high-grade serous ovarian cancer
Abstract:	Purpose: To assess the associations between inter-site texture heterogeneity parameters derived from computed tomography (CT), survival, and BRCA mutation status in women with high-grade serous ovarian cancer (HGSOC). Materials and methods: Retrospective study of 88 HGSOC patients undergoing CT and BRCA mutation status testing prior to primary cytoreductive surgery. Associations between texture metrics—namely inter-site cluster variance (SCV), inter-site cluster prominence (SCP), inter-site cluster entropy (SE)—and overall survival (OS), progression-free survival (PFS) as well as BRCA mutation status were assessed. Results: Higher inter-site cluster variance (SCV) was associated with lower PFS (p = 0.006) and OS (p = 0.003). Higher inter-site cluster prominence (SCP) was associated with lower PFS (p = 0.02) and higher inter-site cluster entropy (SE) correlated with lower OS (p = 0.01). Higher values of all three metrics were significantly associated with lower complete surgical resection status in BRCA-negative patients (SE p = 0.039, SCV p = 0.006, SCP p = 0.02), but not in BRCA-positive patients (SE p = 0.7, SCV p = 0.91, SCP p = 0.67). None of the metrics were able to distinguish between BRCA mutation carrier and non-mutation carrier. Conclusion: The assessment of tumoral heterogeneity in the era of personalized medicine is important, as increased heterogeneity has been associated with distinct genomic abnormalities and worse patient outcomes. A radiomics approach using standard-of-care CT scans might have a clinical impact by offering a non-invasive tool to predict outcome and therefore improving treatment effectiveness. However, it was not able to assess BRCA mutation status in women with HGSOC. © 2018, Springer Science+Business Media, LLC, part of Springer Nature.
Keywords:	adult; human tissue; treatment outcome; aged; gene mutation; overall survival; histopathology; pelvis; cancer grading; preoperative evaluation; cytoreductive surgery; progression free survival; computer assisted tomography; ovary cancer; brca1 protein; brca2 protein; retrospective study; abdomen; quantitative analysis; contrast enhancement; ovary carcinoma; genomics; iohexol; radiodiagnosis; pathologist; personalized medicine; tumor heterogeneity; texture analysis; brca mutation status; survival prediction; very elderly; human; female; priority journal; article; radiomics; omics; high-grade serous ovarian cancer
Journal Title:	Abdominal Radiology
Volume:	44
Issue:	6
ISSN:	2366-004X
Publisher:	Springer
Date Published:	2019-06-01
Start Page:	2040
End Page:	2047
Language:	English
DOI:	10.1007/s00261-018-1840-5
PUBMED:	30474722
PROVIDER:	scopus
PMCID:	PMC8009104
DOI/URL:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057346265&doi=10.1007%2fs00261-018-1840-5&partnerID=40&md5=7f54c0503be6561cf97e692011a03b0c
Notes:	Article -- Source: Scopus

https://synapse.mskcc.org/synapse/works/has_related_data_chk/150257