Cargando…

Imaging ovarian cancer – from baseline characteristics to high-risk image factors

BACKGROUND: Imaging ovarian cancer (OC) includes evaluating peritoneal carcinomatosis (PC) and enlarged cardio phrenic lymph nodes (CPLN) by computed tomography (CT), and thorough evaluation is tedious work. A “CT short score” with high-risk CT parameters might be a more pragmatic approach, but it i...

Descripción completa

Detalles Bibliográficos
Autores principales: Sartor, Hanna, Bjurberg, Maria, Asp, Mihaela, Kahn, Anna, Brändstedt, Jenny, Kannisto, Päivi, Jirström, Karin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10108495/
https://www.ncbi.nlm.nih.gov/pubmed/37069618
http://dx.doi.org/10.1186/s13048-023-01154-w
_version_ 1785026860302729216
author Sartor, Hanna
Bjurberg, Maria
Asp, Mihaela
Kahn, Anna
Brändstedt, Jenny
Kannisto, Päivi
Jirström, Karin
author_facet Sartor, Hanna
Bjurberg, Maria
Asp, Mihaela
Kahn, Anna
Brändstedt, Jenny
Kannisto, Päivi
Jirström, Karin
author_sort Sartor, Hanna
collection PubMed
description BACKGROUND: Imaging ovarian cancer (OC) includes evaluating peritoneal carcinomatosis (PC) and enlarged cardio phrenic lymph nodes (CPLN) by computed tomography (CT), and thorough evaluation is tedious work. A “CT short score” with high-risk CT parameters might be a more pragmatic approach, but it is not known if such a short score associates with aggressive OC subtypes and impaired OC survival. Further, it is not known if certain established OC risk factors are linked to high-risk CT-findings which would be important in image evaluation. Herein, we investigate a CT short score and its relation to baseline characteristics, OC subtypes, and survival. METHODS: The Malmö Diet and Cancer Study is a prospective cohort that included 17,035 women (1991–1996). Baseline characteristics and tumor information on 159 OC and information on OC specific survival (last follow-up, 2017-12-31) was registered. A CT short score (CPLN and PC-index (PCI) in seven regions) was registered and associations with clinical stage [stage I vs. advanced stage (II-IV), histological type/grade (high grade serous and endometrioid vs. other subtypes], and OC-specific survival were analyzed with logistic and Cox regression, respectively. Parity and menopausal status were analyzed in relation to short score and PCI. RESULTS: There was an association between higher short score and advanced clinical stage (adjusted OR 2.76 (1.42—5.38)), adjusted for age at diagnosis and histological type/grade. Higher short score was associated with impaired OC specific survival (adjusted HR 1.17 (1.01—1.35)), adjusted for age at diagnosis, histological type/grade, and clinical stage. There were no significant associations between parity, menopausal status, and short score/PCI. CONCLUSIONS: CT short score was significantly associated with advanced clinical stages and impaired OC survival. A pragmatic approach (based on CT) to evaluate high risk image findings in OC could help reduce radiologists’ workload and at the same time provide structured reports to surgeons and oncologists involved in OC care.
format Online
Article
Text
id pubmed-10108495
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-101084952023-04-18 Imaging ovarian cancer – from baseline characteristics to high-risk image factors Sartor, Hanna Bjurberg, Maria Asp, Mihaela Kahn, Anna Brändstedt, Jenny Kannisto, Päivi Jirström, Karin J Ovarian Res Research BACKGROUND: Imaging ovarian cancer (OC) includes evaluating peritoneal carcinomatosis (PC) and enlarged cardio phrenic lymph nodes (CPLN) by computed tomography (CT), and thorough evaluation is tedious work. A “CT short score” with high-risk CT parameters might be a more pragmatic approach, but it is not known if such a short score associates with aggressive OC subtypes and impaired OC survival. Further, it is not known if certain established OC risk factors are linked to high-risk CT-findings which would be important in image evaluation. Herein, we investigate a CT short score and its relation to baseline characteristics, OC subtypes, and survival. METHODS: The Malmö Diet and Cancer Study is a prospective cohort that included 17,035 women (1991–1996). Baseline characteristics and tumor information on 159 OC and information on OC specific survival (last follow-up, 2017-12-31) was registered. A CT short score (CPLN and PC-index (PCI) in seven regions) was registered and associations with clinical stage [stage I vs. advanced stage (II-IV), histological type/grade (high grade serous and endometrioid vs. other subtypes], and OC-specific survival were analyzed with logistic and Cox regression, respectively. Parity and menopausal status were analyzed in relation to short score and PCI. RESULTS: There was an association between higher short score and advanced clinical stage (adjusted OR 2.76 (1.42—5.38)), adjusted for age at diagnosis and histological type/grade. Higher short score was associated with impaired OC specific survival (adjusted HR 1.17 (1.01—1.35)), adjusted for age at diagnosis, histological type/grade, and clinical stage. There were no significant associations between parity, menopausal status, and short score/PCI. CONCLUSIONS: CT short score was significantly associated with advanced clinical stages and impaired OC survival. A pragmatic approach (based on CT) to evaluate high risk image findings in OC could help reduce radiologists’ workload and at the same time provide structured reports to surgeons and oncologists involved in OC care. BioMed Central 2023-04-17 /pmc/articles/PMC10108495/ /pubmed/37069618 http://dx.doi.org/10.1186/s13048-023-01154-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Sartor, Hanna
Bjurberg, Maria
Asp, Mihaela
Kahn, Anna
Brändstedt, Jenny
Kannisto, Päivi
Jirström, Karin
Imaging ovarian cancer – from baseline characteristics to high-risk image factors
title Imaging ovarian cancer – from baseline characteristics to high-risk image factors
title_full Imaging ovarian cancer – from baseline characteristics to high-risk image factors
title_fullStr Imaging ovarian cancer – from baseline characteristics to high-risk image factors
title_full_unstemmed Imaging ovarian cancer – from baseline characteristics to high-risk image factors
title_short Imaging ovarian cancer – from baseline characteristics to high-risk image factors
title_sort imaging ovarian cancer – from baseline characteristics to high-risk image factors
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10108495/
https://www.ncbi.nlm.nih.gov/pubmed/37069618
http://dx.doi.org/10.1186/s13048-023-01154-w
work_keys_str_mv AT sartorhanna imagingovariancancerfrombaselinecharacteristicstohighriskimagefactors
AT bjurbergmaria imagingovariancancerfrombaselinecharacteristicstohighriskimagefactors
AT aspmihaela imagingovariancancerfrombaselinecharacteristicstohighriskimagefactors
AT kahnanna imagingovariancancerfrombaselinecharacteristicstohighriskimagefactors
AT brandstedtjenny imagingovariancancerfrombaselinecharacteristicstohighriskimagefactors
AT kannistopaivi imagingovariancancerfrombaselinecharacteristicstohighriskimagefactors
AT jirstromkarin imagingovariancancerfrombaselinecharacteristicstohighriskimagefactors