Ovarian cancer during pregnancy

Andrieu, P; Wahab, Shaun A; Nougaret, Stéphanie; Petkovska, Iva

doi:10.1007/s00261-022-03768-y

Cited by 4 publications

(1 citation statement)

References 32 publications

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“…Both these scoring systems require the administration of intravenous gadolinium-based contrast agents (GBCAs) [12,13]. Some clinical studies have shown that, despite gadolinium-based contrast media during pregnancy being relatively safe, with a low incidence of adverse effects, its use should be limited in clinical practice when strictly necessary [14][15][16][17]. Recently, the non-Contrast MRI score (NCMS) was proposed [18].…”

Section: Introductionmentioning

confidence: 99%

Prediction of the Risk of Malignancy of Adnexal Masses during Pregnancy Comparing Subjective Assessment and Non-Contrast MRI Score (NCMS) in Radiologists with Different Expertise

Panico,

Bottazzi,

Russo

et al. 2023

Cancers

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Ovarian cancer represents 7% of all cancers in pregnant women. Characterising an ovarian mass during pregnancy is essential to avoid unnecessary treatment and, if treatment is required, to plan it accordingly. Although ultrasonography (US) is the first-line modality to characterise adnexal masses, MRI is indicated when adnexal masses are indeterminate at the US examination. An MRI risk stratification system has been proposed to assign a malignancy probability based on the adnexal lesion’s MRI, but features of the scoring system require the administration of intravenous gadolinium-based contrast agents, a method that might have a limited use in pregnant women. The non-contrast MRI score (NCMS) has been used and evaluated in non-pregnant women to characterise adnexal masses indeterminate at the US examination. Therefore, we evaluated the diagnostic accuracy of the NCMS in pregnant women, analysing 20 cases referred to our specialised institution. We also evaluated the diagnostic agreement between two radiologists with different expertise. The two readers classified ovarian masses as benign or malignant using both subjective assessment (SA), based on the interpretive evaluation of imaging findings derived from personal experience, and the NCMS, which includes five categories where 4 and 5 indicate a high probability of a malignant mass. The expert radiologist correctly classified 90% of the diagnoses, using both SA and the NCMS, relying on a sensitivity of 85.7% and a specificity of 92.3%, with a false positive rate of 7.7% and a false negative rate of 14.3%. The non-expert radiologist correctly identified patients at a lower rate, especially using the SA. The analysis of the inter-observer agreement showed a K = 0.47 (95% CI: 0.48–0.94) for the SA (agreement in 71.4% of cases) and a K = 0.8 (95% CI: 0.77–1.00) for the NCMS (agreement in 90% of cases). Although in pregnant patients, non-contrast MRI is used, our results support the use of a quantitative score, i.e., the NCMS, as an accurate tool. This procedure may help less experienced radiologists to reduce the rate of false negatives or positives, especially in centres not specialised in gynaecological imaging, making the MRI interpretation easier and more accurate for radiologists who are not experts in the field, either.

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Section: Introductionmentioning

confidence: 99%

Prediction of the Risk of Malignancy of Adnexal Masses during Pregnancy Comparing Subjective Assessment and Non-Contrast MRI Score (NCMS) in Radiologists with Different Expertise

Panico,

Bottazzi,

Russo

et al. 2023

Cancers

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Pregnancy and ovarian cancer—What are the special features of the diagnostics and treatment?

Zaby,

Wimberger

2023

Gynäkologie

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Gene Expression Profiles Infer — The Landscape of Tumor-Infiltrating Immune Cells in Ovarian Cancer and their Clinical Significance

Ding,

Wang,

et al. 2024

Clin. Exp. Obstet. Gynecol.

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Background: Infiltration of immune cells associated with tumor clinical results affects different cancers. However, the composition and the clinical significance of tumor-infiltrated immune cells in epithelial ovarian cancer has not been completely investigated. Methods: The metagene deconvolution algorithm (Cell type Identification by Estimating Relative Subsets of known RNA Transcripts (CIBERSORT)) was used to analyze gene expression profiles in public databases (GEO and TCGA) to infer the composition of 22 immune cell subgroups in ovarian tumors. The proportions obtained in this study were used to investigate the association between each cell type and the clinical outcomes for ovarian cancer diagnosis and prognosis. Quantitative real-time polymerase chain reaction (qRT-PCR) was used for detecting the expression levels of related genes. Results: The profiles of immune cells infiltration were altered in malignant ovarian neoplastic tissue. Ovarian cancer tissues contained higher proportion of T follicular helper cells (Tfh) and macrophages (M0 and M1) rather than the normal ovarian tissue. Meanwhile, lower proportion of monocytes and neutrophils was also observed in ovarian cancer tissues compared with normal tissues. The qRT-PCR test confirmed the conclusion that the contents of CD80 (M1 cells) and CD4+ (Tfh cells) were high in the interstitium of ovarian cancer tissue, while the contents of CD21 (B cells) and CD66b (neutrophil) were low. Interestingly, immune cell infiltration was observed to be correlated with the change in clinical outcome. The activated mast cell subpopulation was associated with poor prognosis, while the subpopulation of resting dendritic cells was correlated with pathological grade of the ovarian cancer. Conclusions: Our bioanalysis revealed that the composition of tumor-infiltrating immune cells was closely related to the clinical outcome of ovarian cancer, which was also validated in clinical samples. These results provide a new strategic basis for the prognosis and treatment of ovarian cancer.

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Ovarian cancer during pregnancy

Cited by 4 publications

References 32 publications

Prediction of the Risk of Malignancy of Adnexal Masses during Pregnancy Comparing Subjective Assessment and Non-Contrast MRI Score (NCMS) in Radiologists with Different Expertise

Prediction of the Risk of Malignancy of Adnexal Masses during Pregnancy Comparing Subjective Assessment and Non-Contrast MRI Score (NCMS) in Radiologists with Different Expertise

Pregnancy and ovarian cancer—What are the special features of the diagnostics and treatment?

Gene Expression Profiles Infer — The Landscape of Tumor-Infiltrating Immune Cells in Ovarian Cancer and their Clinical Significance

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