Biomarkers for site-specific response to neoadjuvant chemotherapy in epithelial ovarian cancer: relating MRI changes to tumour cell load and necrosis

BACKGROUND

Diffusion-weighted magnetic resonance imaging (DW-MRI) potentially interrogates site-specific response to neoadjuvant chemotherapy (NAC) in epithelial ovarian cancer (EOC).

METHODS

Participants with newly diagnosed EOC due for platinum-based chemotherapy and interval debulking surgery were recruited prospectively in a multicentre study (n = 47 participants). Apparent diffusion coefficient (ADC) and solid tumour volume (up to 10 lesions per participant) were obtained from DW-MRI before and after NAC (including double-baseline for repeatability assessment in n = 19). Anatomically matched lesions were analysed after surgical excision (65 lesions obtained from 25 participants). A trained algorithm determined tumour cell fraction, percentage tumour and percentage necrosis on histology. Whole-lesion post-NAC ADC and pre/post-NAC ADC changes were compared with histological metrics (residual tumour/necrosis) for each tumour site (ovarian, omental, peritoneal, lymph node).

RESULTS

Tumour volume reduced at all sites after NAC. ADC increased between pre- and post-NAC measurements. Post-NAC ADC correlated negatively with tumour cell fraction. Pre/post-NAC changes in ADC correlated positively with percentage necrosis. Significant correlations were driven by peritoneal lesions.

CONCLUSIONS

Following NAC in EOC, the ADC (measured using DW-MRI) increases differentially at disease sites despite similar tumour shrinkage, making its utility site-specific. After NAC, ADC correlates negatively with tumour cell fraction; change in ADC correlates positively with percentage necrosis.

CLINICAL TRIAL REGISTRATION

ClinicalTrials.gov NCT01505829.

Salvage radiation therapy for localized recurrent ovarian cancer

INTRODUCTION

To evaluate clinical outcomes for patients with localized recurrent ovarian cancer treated with salvage radiotherapy.

METHODS

In a retrospective single institutional analysis, we identified 40 patients who received salvage radiotherapy for localized ovarian cancer recurrence from January 1995 to June 2011. Recurrent disease was categorized as: pelvic peritoneal (45%, 18), extraperitoneal/nodal (35%, 14), or vaginal (20%, eight). Actuarial disease-free and overall survival estimates were calculated by Kaplan-Meier and prognostic factors evaluated by the Cox proportional hazards model.

RESULTS

Median follow-up was 42 months. Median patient age was 54 years (range, 27-78). Histologic subtypes were: serous (58%, 23), endometrioid (15%, six), clear cell (13%, five), mucinous (8%, three), and other (8%, three). At the time of salvage radiotherapy, surgical cytoreduction was performed in 60% (24) and 68% (27) had platinum-sensitive disease. Most patients (63%, 25) received salvage radiotherapy at the time of first recurrence. Relapse after salvage radiotherapy occurred in 29 patients at a median time of 16 months and was outside the radiotherapy field in 62%. 18 At 3 years, disease-free and overall survival rates were 18% and 80%, respectively. On multivariate analysis, non-serous histology (hazards ratio 0.3, 95% CI 0.1-0.7) and platinum-sensitivity (hazards ratio 0.2, 95% CI 0.1-0.5) were associated with lower relapse risk. Platinum-sensitivity was also associated with overall survival (hazards ratio 0.4, 95% CI 0.1-1.0). Four patients (10%) were long-term survivors without recurrence 5 years after salvage radiotherapy. Of the five patients with clear cell histology, none experienced relapse at the time of last follow-up.

DISCUSSION

Patients with non-serous and/or platinum-sensitive ovarian cancer had the greatest benefit from salvage radiotherapy for localized recurrent disease. Although relapse was common, radiotherapy prolonged recurrence for > 1 year in most patients and four were long-term survivors.

Ovarian Cancer: An Integrated Review

OBJECTIVE

To provide an overview of the risk factors, modifiable and non-modifiable, for ovarian cancer as well as prevention, diagnostic, treatment, and long-term survivorship concerns. This article will also examine current and future clinical trials surrounding ovarian cancer.

DATA SOURCES

A review of articles dated 2006-2018 from CINAHL, UpToDate, and National Comprehensive Cancer Network guidelines.

CONCLUSION

There is no screening test for ovarian cancer and with diagnosis often in the late stages, recurrence is high in this population. Early identification can range from knowing the vague symptoms associated with the cancer to prophylactic surgical removal of at-risk tissue. Standard treatment for ovarian cancer is surgery followed by combination chemotherapy. Although advances are being made, ovarian cancer remains the most fatal female gynecologic cancer.

IMPLICATIONS FOR NURSING PRACTICE

Becoming familiar with and educating women about risk factors and the elusive symptoms of ovarian cancer can increase patient autonomy and advocacy, as well as potentially improve patient outcomes for those affected by ovarian cancer.

Comparison between types I and II epithelial ovarian cancer using histogram analysis of monoexponential, biexponential, and stretched-exponential diffusion models

PURPOSE

To evaluate the utility of histogram analysis of monoexponential, biexponential, and stretched-exponential models to a dualistic model of epithelial ovarian cancer (EOC).

MATERIALS AND METHODS

Fifty-two patients with histopathologically proven EOC underwent preoperative magnetic resonance imaging (MRI) (including diffusion-weighted imaging [DWI] with 11 b-values) using a 3.0T system and were divided into two groups: types I and II. Apparent diffusion coefficient (ADC), true diffusion coefficient (D), pseudodiffusion coefficient (D*), perfusion fraction (f), distributed diffusion coefficient (DDC), and intravoxel water diffusion heterogeneity (α) histograms were obtained based on solid components of the entire tumor. The following metrics of each histogram were compared between two types: 1) mean; 2) median; 3) 10th percentile and 90th percentile. Conventional MRI morphological features were also recorded.

RESULTS

Significant morphological features for predicting EOC type were maximum diameter (P = 0.007), texture of lesion (P = 0.001), and peritoneal implants (P = 0.001). For ADC, D, f, DDC, and α, all metrics were significantly lower in type II than type I (P < 0.05). Mean, median, 10th, and 90th percentile of D* were not significantly different (P = 0.336, 0.154, 0.779, and 0.203, respectively). Most histogram metrics of ADC, D, and DDC had significantly higher area under the receiver operating characteristic curve values than those of f and α (P < 0.05) CONCLUSION: It is feasible to grade EOC by morphological features and three models with histogram analysis. ADC, D, and DDC have better performance than f and α; f and α may provide additional information.

LEVEL OF EVIDENCE

4 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2017;46:1797-1809.

Patterns and Prognostic Importance of Hepatic Involvement in Patients with Serous Ovarian Cancer: A Single-Institution Experience with 244 Patients

Purpose To evaluate the frequency, patterns, and prognostic importance of metastatic hepatic involvement in serous ovarian cancer. Materials and Methods This institutional review board-approved retrospective study, with waived informed consent, included 244 patients with pathologically proven serous ovarian cancer (mean age ± standard deviation, 59 years ± 10.7; range 19-93 years). Electronic medical records and all available imaging studies over a median follow-up of 44 months (interquartile range [IQR], 27-70) were reviewed to identify the frequency of liver parenchymal invasion (LPI) from perihepatic peritoneal metastasis and hematogenous liver metastases. The associations and prognostic importance of LPI and hematogenous metastases were studied by using univariate and multivariate Cox proportional analysis. Results Eighty-four of 244 patients (34%) developed perihepatic metastases, of whom 55 (23%) developed LPI after median of 43 months (IQR, 25-63). Hematogenous hepatic metastases developed in 38 of 244 patients (16%) after median of 42 months (IQR, 26-64). At multivariate analysis, age (P = .008; hazard ratio [HR]: 1.03; 95% confidence interval [CI]: 1.009, 1.07) and suboptimal cytoreduction (P = .03; HR, 2.13; 95% CI: 1.12, 4.07) were associated with LPI. Increasing age (P = .01; HR, 1.04; 95% CI: 1.008, 1.08), high-grade tumor (P = .01; HR, 6.75; 95% CI: 1.44, 120.5), and advanced stage (P = .03; HR, 3.16; 95% CI: 1.94, 4.56) were associated with hematogenous metastases. Overall survival with and without LPI was similar (median, 80 months; IQR, 50-not reached vs 123 months; IQR, 49-279; P = .6). Hematogenous metastases were associated with significantly shorter survival at univariate (median 63 months, IQR 43-139 vs 145 months, IQR 50-not reached; P = .006) and multivariate analyses (P = .03; HR, 1.88; 95% CI: 1.14, 3.28). Conclusion Differentiating hematogenous metastases and LPI is important for radiologists; hematogenous metastases are associated with shorter survival, while LPI does not adversely affect survival and prognostically behaves like peritoneal disease. ^© RSNA, 2016.