The Value of Postoperative/Preadjuvant Chemotherapy Computed Tomography in the Management of Patients With Ovarian Cancer

A preoperative nomogram incorporating CT to predict the probability of ovarian clear cell carcinoma

OBJECTIVES

To evaluate clinical, laboratory, and radiological variables from preoperative contrast-enhanced computed tomography (CECT) for their ability to distinguish ovarian clear cell carcinoma (OCCC) from non-OCCC and to develop a nomogram to preoperatively predict the probability of OCCC.

METHODS

This IRB-approved, retrospective study included consecutive patients who underwent surgery for an ovarian tumor from 1/1/2000 to 12/31/2016 and CECT of the abdomen and pelvis ≤90 days before primary debulking surgery. Using a standardized form, two experienced oncologic radiologists independently analyzed imaging features and provided a subjective 5-point impression of the probability of the histological diagnosis. Nomogram models incorporating clinical, laboratory, and radiological features were created to predict histological diagnosis of OCCC over non-OCCC.

RESULTS

The final analysis included 533 patients with surgically confirmed OCCC (n = 61) and non-OCCC (n = 472); history of endometriosis was more often found in patients with OCCC (20% versus 3.6%; p < 0.001), while CA-125 was significantly higher in patients with non-OCCC (351 ng/mL versus 70 ng/mL; p < 0.001). A nomogram model incorporating clinical (age, history of endometriosis and adenomyosis), laboratory (CA-125) and imaging findings (peritoneal implant distribution, morphology, laterality, and diameter of ovarian lesion and of the largest solid component) had an AUC of 0.9 (95% CI: 0.847, 0.949), which was comparable to the AUCs of the experienced radiologists' subjective impressions [0.8 (95% CI: 0.822, 0.891) and 0.9 (95% CI: 0.865, 0.936)].

CONCLUSIONS

A presurgical nomogram model incorporating readily accessible clinical, laboratory, and CECT variables was a powerful predictor of OCCC, a subtype often requiring a distinctive treatment approach.

Optimal cytoreduction: is a CT's picture worth a surgeon's word?

INTRODUCTION

The presence of residual disease after cytoreductive surgery is subjectively determined by the surgeon at the end of the operation. Nevertheless, in up to 21-49% of CT scans, residual disease can be found. The aim of this study was to establish the relationship between post-surgical CT findings after optimal cytoreduction in patients with advanced ovarian cancer and oncological outcome.

MATERIAL AND METHODS

Patients with advanced ovarian cancer (FIGO II and IV), diagnosed between 2007 and 2019 in Hospital La Fe Valencia, in whom cytoreductive surgery was performed, achieving R0 or R1, were assessed for eligibility (n = 440). A total of 323 patients were excluded because a post-operative CT scan was not performed between the third and eighth post-surgery week and prior to the start of chemotherapy.

RESULTS

117 patients were finally included. The CT findings were classified into three categories: no evidence, suspicious or conclusive of residual tumour/progressive disease. 29.9% of CT scans were "conclusive of residual tumour/progressive disease". No differences were found when the DFS (p = 0.158) and OS (p = 0.215) of the three groups were compared (p = 0.158).

CONCLUSION

After cytoreduction in ovarian cancer with no macroscopic disease or residual tumour < 1 cm result, up to 29.9% of post-operative CT scans before chemotherapy found measurable residual or progressive disease. Notwithstanding, a worse DFS or OS was not associated with this group of patients.

Impact of no residual disease on postoperative computed tomography on survival in patients with optimally debulked advanced high-grade serous ovarian cancer during upfront surgery

OBJECTIVE

We sought to investigate the impact of size of residual tumors as determined by postoperative computed tomography (CT) on survival of patients with advanced, high-grade serous ovarian carcinoma (HGSC) who achieved residual disease less than 1 cm after primary debulking surgery (PDS).

METHODS

We collected data of patients with stage III HGSC who had residual tumor less than 1 cm after PDS between 2013 and 2018. Surgeon-assessed residual disease during surgery was defined as sR0 (no gross residual) or sR1 (gross residual <1 cm), and radiologist-assessed residual disease on postoperative CT was defined as rR0 (no evidence of disease) or rRany (existing residual disease). All patients were classified into the following groups: sR0/rR0, sR1/rR0, sR0/rRany, and sR1/rRany.

RESULTS

A total of 436 patients was placed into the sR0/rR0 (n = 187, 42.9%), sR1/rR0 (n = 59, 13.5%), sR0/rRany (n = 79, 18.1%), or sR1/rRany group (n = 111, 25.5%). Discrepancies between surgical and radiological assessments were recorded for 176 patients (40.4%) including 38 cases of sR1/rRany group with discordant residual tumor location indicated between two methods. During multivariate analysis, patients with ascites on preoperative CT, sR0/rRany group inclusion, and sR1/rRany group inclusion showed unfavorable progression-free and overall survival.

CONCLUSIONS

The incorporation of surgical and radiological evaluations for determining the size of residual tumors was more accurate than surgical evaluation only for predicting survival among patients with advanced ovarian cancer who underwent PDS to residual disease less than 1 cm.

A Molecularly Targeted Intraoperative Near-Infrared Fluorescence Imaging Agent for High-Grade Serous Ovarian Cancer

Ovarian cancer is the fifth leading cause of cancer deaths among women, accounting for more deaths than any other cancer of the female reproductive system. The foundation of its management consists of cytoreductive surgery (CRS) followed by systemic chemotherapy, with the completeness of surgical resection consistently identified as one of the most important prognostic factors for the disease. The goal of our investigation is the development of a near-infrared fluorescence (NIRF) imaging agent for the intraoperative imaging of high-grade serous ovarian cancer (HGSOC). As surgeons are currently limited to the visual and manual assessment of tumor tissue during CRS, this technology could facilitate more complete resections as well as serve important functions at other points in the surgical management of the disease. Elevated levels of cancer antigen 125 (CA125) have proven a useful biomarker of HGSOC, and the CA125-targeting antibody B43.13 has shown potential as a platform for immunoPET imaging in murine models of ovarian cancer. Herein, we report the development of a NIRF imaging agent based on B43.13: ^ssB43.13-IR800. We site-specifically modified the heavy chain glycans of B43.13 with the near-infrared dye IRDye 800CW using a chemoenzymatic approach developed in our laboratories. SDS-PAGE analysis confirmed the specificity of the conjugation reaction, and flow cytometry, immunostaining, and fluorescence microscopy verified the specific binding of ^ssB43.13-IR800 to CA125-expressing OVCAR3 human ovarian cancer cells. NIRF imaging studies demonstrated that ^ssB43.13-IR800 can be used to image CA125-expressing HGSOC tumors in subcutaneous, orthotopic, and patient-derived xenograft mouse models. Finally, ex vivo analyses confirmed that ^ssB43.13-IR800 can bind and identify CA125-expressing cells in primary tumor and metastatic lymph node samples from human patients with HGSOC.

Isolated lymph node recurrence in epithelial ovarian cancer: Recurrence with better prognosis?

INTRODUCTION

The aim of this study was to compare overall survival (OS) between women with isolated lymph node recurrence (ILNR) and those with isolated peritoneal localization of recurrence (ICR), in patients managed for epithelial ovarian cancer.

METHODS

Data from 1508 patients with ovarian cancer were collected retrospectively from1 January 2000 to 31 December 2016, from the FRANCOGYN database, pooling data from 11 centres specialized in ovary treatment. Median overall survival was determined using the Kaplan-Meier method. Univariate and multivariate analyses were performed to define prognostic factors of overall survival. Patients included had a first recurrence defined as ILNR or ICR during their follow up.

RESULTS

79 patients (5.2 %) presented with ILNR, and 247 (16.4 %) patients had isolated carcinomatosis recurrence. Complete lymphadenectomy was performed more frequently in the ILNR group vs. the ICR group (67.1 % vs. 53.4 %, p = 0.004) and the number of pelvic lymph nodes involved was higher (2.4 vs. 1.1, p = 0.008). The number of involved pelvic LN was an independent predictor of ILNR (OR = 1.231, 95 % CI [1.074-1.412], p = 0.0024). The 3-year and 5-year OS rates in the ILNR group were 85.2 % and 53.7 % respectively, compared to 68.1 % and 46.8 % in patients with ICR. There was no significant difference in terms of OS after initial diagnosis (p = 0.18). 3- year and 5-year OS rates after diagnosis of recurrence were 62.6 % and 15.6 % in the ILNR group, and 44 % and 15.7 % in patients with ICR (p = 0.21).

CONCLUSION

ILNR does not seem to be associated with a better prognosis in terms of OS.

Outcome according to residual disease (surgeon's report vs pre-chemotherapy imaging) in patients with bevacizumab-treated ovarian cancer: Analysis of the ROSiA study

BACKGROUND AND OBJECTIVES

The single-arm ROSiA study evaluated frontline bevacizumab for advanced ovarian cancer. We explored how discordant surgically and radiologically assessed postoperative residual disease affects outcomes.

METHODS

After debulking surgery, 1021 patients received 4 to 8 cycles of carboplatin-paclitaxel plus bevacizumab until progression or up to 24 months. The primary endpoint was safety; progression-free survival (PFS) was a secondary endpoint. We performed post hoc exploratory PFS analyses in four subgroups: surgeon-reported no visible residuum (NVR) without target lesions; surgeon-reported NVR with target lesions; macroscopic (≤1 cm) residuum; and >1 cm residuum.

RESULTS

Surgical and radiological assessments were concordant in 94% of patients; 61 patients (6%; 21% of those with surgeon-reported NVR) had NVR with target lesions. Median PFS was numerically longest in patients with concordant surgically/radiologically assessed NVR (35.5 months), intermediate for surgeon-reported NVR with target lesions (31.8 months), and shortest for visible residuum (27.9 and 20.2 months for visible residuum ≤1 and >1 cm, respectively). One-year and 2-year PFS rates showed the same pattern.

CONCLUSIONS

These analyses suggest that prognosis is potentially worse in patients with radiologically detected target lesions despite surgeon-reported NVR compared with concordant NVR by both assessment methods. Postsurgical imaging may add valuable prognostic information.

ACR Appropriateness Criteria® Staging and Follow-Up of Ovarian Cancer

In the management of epithelial ovarian cancers, imaging is used for cancer detection and staging, both before and after initial treatment. The decision of whether to pursue initial cytoreductive surgery for ovarian cancer depends in part on accurate staging. Contrast-enhanced CT of the abdomen and pelvis (and chest where indicated) is the current imaging modality of choice for the initial staging evaluation of ovarian cancer. Fluorine-18-2-fluoro-2-deoxy-d-glucose PET/CT and MRI may be appropriate for problem-solving purposes, particularly when lesions are present on CT but considered indeterminate. In patients who achieve remission, clinical suspicion for relapse after treatment prompts imaging evaluation for recurrence. Contrast-enhanced CT is the modality of choice to assess the extent of recurrent disease, and fluorine-18-2-fluoro-2-deoxy-d-glucose PET/CT is also usually appropriate, as small metastatic foci may be identified. If imaging or clinical examination confirms a recurrence, the extent of disease and timing of disease recurrence then determines the choice of treatments, including surgery, chemotherapy, and radiation therapy. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision include an extensive analysis of current medical literature from peer reviewed journals and the application of well-established methodologies (RAND/UCLA Appropriateness Method and Grading of Recommendations Assessment, Development, and Evaluation or GRADE) to rate the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where evidence is lacking or equivocal, expert opinion may supplement the available evidence to recommend imaging or treatment.

Negative peritoneal washing cytology during interval debulking surgery predicts overall survival after neoadjuvant chemotherapy for ovarian cancer

Objective

Optimal debulking in interval debulking surgery (IDS) after neoadjuvant chemotherapy (NAC) has been reported as a prognostic factor for patients with ovarian cancer. However, the identification of microscopic residual disease (MRD) using visualization and palpation is subjective. Peritoneal washing cytology (PWC) during IDS is an easy-to-implement, objective approach for assessing disease status, although its clinical relevance and association with MRD is not known. The aim of this study was to evaluate the efficacy of PWC during IDS.

Methods

In total, 164 patients diagnosed with ovarian cancer at our institution were retrospectively evaluated, including 64 who had received NAC. Seventeen patients had undergone an exploratory laparotomy followed by NAC, while the remaining patients were diagnosed based on imaging, peritoneal cytology, and tumor markers. The PWC was performed before intraperitoneal observation at laparotomy during IDS.

Results

NAC-treated patients had stage III–IV disease. IDS was performed in 78.1% of NAC-treated patients. Seventeen patients (26.6%) were PWC-negative and 33 patients (51.6%) were PWC-positive. Fourteen patients (21.9%) had progressive disease and were ineligible for IDS. The median overall survival of the PWC-negative, PWC-positive, and non-IDS groups was 47, 18, and 5 months, respectively. The differences were significant (p<0.01). PWC was an independent prognostic factor in the multivariate Cox regression analysis (p<0.001).

Conclusion

PWC during IDS may be a prognostic factor for NAC-treated patients with ovarian cancer. PWC may be more useful than visualization and palpation in IDS for determining the presence of MRD.

Cytoreductive surgery for ovarian cancer: quality assessment

Surgery is the cornerstone of treatment of ovarian cancer. Given the importance of achieving no or minimal macroscopic residual disease at primary surgery, performing an assessment of the quality of ovarian cancer surgery is crucial. Assessing the quality of care and surgical outcome allows us to establish baseline information, set standards of care and clear priorities, enable benchmarking against peers, and sustain quality improvement. We know that suboptimal care exists and variation in outcomes results. One way to monitor variation in outcomes is through a clinical quality registry (CQR). A CQR collects a defined minimum dataset to measure performance of an individual or center against a range of clinical quality indicators and provides risk-adjusted, benchmarked data to participating institutions. CQR's are an excellent quality assurance measure as they capture all cases (an opt out system). They permit detection and analysis of unwarranted variations in care. This can provide indications of a systems or process problem, thereby motivating health care providers to improve services and care. Several groups have either developed quality indicators for advanced ovarian cancer surgery (The Scottish Cancer Taskforce and the European Society of Gynecological Oncology) or are in the process of doing so (Australian Society of Gynaecological Oncologists). Indicators should be evidence-based and determined by extensive discussion with experts and stakeholders to ensure appropriateness and buy-in. The Scottish Cancer Taskforce and European Society of Gynecological Oncology have set targets for their quality performance measures, which should provide a quantitative framework for improving care in the surgical management of ovarian cancer.

Correlation between Surgeon's assessment and radiographic evaluation of residual disease in women with advanced stage ovarian cancer reported to have undergone optimal surgical cytoreduction: An NRG Oncology/Gynecologic Oncology Group study

PURPOSE

We sought to determine the level of concordance among surgeons' assessment of residual disease (RD) and pre-treatment computed tomography (CT) findings among women who underwent optimal surgical cytoreduction for advanced stage ovarian cancer.

METHODS

This is a post-trial ad hoc analysis of a phase 3 randomized clinical trial evaluating the impact of bevacizumab in primary and maintenance therapy for patients with advanced stage ovarian cancer following surgical cytoreduction. All subjects underwent imaging of the chest/abdomen/pelvis to establish a post-surgical baseline prior to the initiation of chemotherapy. Information collected on trial was utilized to compare surgeon's operative assessment of RD, to pre-treatment imaging.

RESULTS

Of 1873 enrolled patients, surgical outcome was described as optimal (RD≤1cm) in 639 subjects. Twelve patients were excluded as they did not have a baseline, pretreatment imaging, leaving 627 participants for analysis. The average interval from surgery to baseline scan was 26days (range: 1-109). In 251 cases (40%), the post-operative scan was discordant with surgeon assessment, demonstrating RD>1cm in size. RD>1cm was most commonly identified in the right upper quadrant (28.4%), retroperitoneal para-aortic lymph nodes (RD>1.5cm; 28.2%) and the left upper quadrant (10.7%). Patients with RD>1cm on pre-treatment CT (discordant) exhibited a significantly greater risk of disease progression (HR 1.30; 95% CI 1.08-1.56; p=0.0059).

CONCLUSIONS

Among patients reported to have undergone optimal cytoreduction, 40% were found to have lesions >1cm on postoperative, pretreatment imaging. Although inflammatory changes and/or rapid tumor regrowth could account for the discordance, the impact on PFS and distribution of RD may suggest underestimation by the operating surgeon.

Incorporation of postoperative CT data into clinical models to predict 5-year overall and recurrence free survival after primary cytoreductive surgery for advanced ovarian cancer

PURPOSE

The use of multivariable clinical models to assess postoperative prognosis in ovarian cancer increased. All published models incorporate surgical debulking. However, postoperative CT can detect residual disease (CT-RD) in 40% of optimally resected patients. The aim of our study was to investigate the added value of incorporating CT-RD evaluation into clinical models for assessment of overall survival (OS) and progression free survival (PFS) in patients after primary cytoreductive surgery (PCS).

METHODS

212 women with PCS for advanced ovarian cancer between 01/1997 and 12/2011, and a contrast enhanced abdominal CT 1-7 weeks after surgery were included in this IRB approved retrospective study. Two radiologists blinded to clinical data, evaluated all CT for the presence of CT-RD, and Cohen's kappa assessed agreement. Cox proportional hazards regression with stepwise selection was used to develop OS and PFS models, with CT-RD incorporated afterwards. Model fit was assessed with bootstrapped Concordance Probability Estimates (CPE), accounting for over-fitting bias by correcting the initial estimate after repeated subsampling.

RESULTS

Readers agreed on the majority of cases (179/212, k=0.68). For OS and PFS, CT-RD was significant after adjusting for clinical factors with a CPE 0.663 (p=0.0264) and 0.649 (p=0.0008). CT-RD was detected in 37% of patients assessed as optimally debulked (RD<1cm) and increased the risk of death (HR: 1.58, 95% CI: 1.06-2.37%).

CONCLUSION

CT-RD is a significant predictor after adjusting for clinical factors for both OS and PFS. Incorporating CT-RD into the clinical model improved the prediction of OS and PFS in patients after PCS for advanced ovarian cancer.