Usefulness of computed tomography in predicting cytoreductive surgical outcomes for ovarian cancer. Arch Gynecol Obstet. 2011;284:1501-1507. [PMID: 21347681 DOI: 10.1007/s00404-011-1864-3]

Development and Validation of 18F-FDG PET/CT-Based Models for Predicting Successful Complete Cytoreduction During Primary Cytoreductive Surgery for Advanced Ovarian cancer

PURPOSE

The aim of this study was to develop an 18F-FDG PET/CT-based model to predict complete cytoreduction during primary cytoreductive surgery (CRS) for ovarian cancer (OC).

PATIENTS AND METHODS

We retrospectively identified patients with stage III-IV OC who underwent primary CRS between June 2013 and February 2020 at 2 tertiary centers. Patients from each hospital were assigned to training and test sets. The abdominal cavity was divided into 3 sections, and data for the PET/CT-derived parameters were collected through image analysis. Various prediction models were constructed by combining clinicopathologic characteristics and PET/CT-derived parameters. The performance of the model with the highest area under the receiver operating characteristic curve (AUC) was externally validated.

RESULTS

The training and test sets included 159 and 166 patients, respectively. The median age of patients in the test set was 55 years; 72.3% of them had stage III tumors, and 65.4% underwent complete cytoreduction. Metabolic tumor volume, total lesion glycolysis, and the number of metastatic lesions above the upper margin of the renal vein (area A) were selected among the PET/CT parameters. The best predictive multivariable model consisted of CA-125 (<750 or ≥750 IU/mL), number of metastatic lesions (<2 or ≥2), and metabolic tumor volume of area A, predicting complete cytoreduction with an AUC of 0.768. The model was validated using a test set. Its predictive performance yielded an AUC of 0.771.

CONCLUSIONS

We successfully developed and validated a preoperative model to predict complete cytoreduction in advanced OC. This model can facilitate patient selection for primary CRS in clinical practice.

The BUMPy road of peritoneal metastases in ovarian cancer

Ovarian cancer is the most common cause of death due to gynecologic malignancies, with more than 70% of patients presenting with advanced stage disease at the time of diagnosis. The extent and distribution of tumor guide primary treatment selection and clinical management. While primary cytoreductive surgery with complete tumor resection improves survival, patients with extensive peritoneal disease may benefit from neoadjuvant chemotherapy first to reduce tumor burden followed by interval cytoreductive surgery. Imaging plays an essential role in triaging patients including selecting patients who may benefit from neoadjuvant chemotherapy before cytoreductive surgery. Interestingly, there are no universally established criteria to predict resectability and local practices depend on local guidelines and surgeon preferences. Nevertheless, certain anatomical tumor locations are known to be difficult to resect and are associated with suboptimal cytoreduction or require special surgical considerations. This review discusses the recent advances in the initial management of patients with ovarian cancer, a practical approach to the assessment and communication of peritoneal metastases locations on CT and MRI. It also explores recent advances in genomics profiling and radiomics that may influence the initial management of these patients.

An Orthotopic Murine Model of Peritoneal Carcinomatosis of Ovarian Origin for Intraoperative PDT

Advanced ovarian cancer is the most serious among gynecological malignancies and is associated with 35% five-year overall survival. Surgery is the first therapeutic indication, and the absence of remaining macroscopic lesions is the most important prognostic factor. However, tumor dissemination over the whole abdominal cavity largely contributes to the difficulty of complete surgical resection. Consequently, any therapeutic approach that may complete surgical resection should improve patient survival. Considering that some sites are not suitable for surgery because of their close location to vital organs, intraoperative photodynamic therapy (ioPDT) appears to be a complementary therapeutic approach to surgery to obtain the lowest residual disease.Relevant in vivo cancer models that closely resemble human ovarian cancer are essential for preclinical research of alternative antitumor therapeutic strategies. Thus, we propose a comprehensive protocol to set up an orthotopic ovarian xenograft in mice leading to peritoneal carcinomatosis that could be harnessed for antitumor therapeutic application and evaluation.

Ascites volume at the time of primary debulking and overall survival of patients with advanced epithelial ovarian cancer

OBJECTIVES

To investigate the impact of malignant ascites volume on the outcomes of patients with advanced epithelial ovarian carcinoma who undergo primary debulking surgery.

METHODS

Patients diagnosed with stage III-IV epithelial ovarian carcinoma and bulky intra-abdominal (TIIIC) disease between 2010 and 2015, who underwent primary debulking surgery followed by multi-agent chemotherapy and known status of residual disease, were drawn from the National Cancer Database. Based on available information, the presence and volume of malignant ascites was categorized as absent, low (<980 mL), and high (>980 mL) volume. Median overall survival was determined from Kaplan-Meier curves and compared with the log rank test. A multivariate Cox model was constructed to control for confounders.

RESULTS

2493 patients were identified; 31.9% (n=795) had no ascites, 40.2% (n=1001) had low, and 28% (n=697) had high volume malignant ascites. Rate of complete gross resection was higher for patients with no ascites (65.9%) compared with those with low (35.6%) and high (23%) volume ascites (p<0.001). After controlling for stage, histology, grade, age, and comorbidities, compared with those with no ascites, patients with low (odds ratio (OR) 3.49, 95% confidence intervals (CI) 2.89 to 4.26) and high (OR 6.40, 95% CI 5.07 to 8.06) volume ascites were more likely to have gross residual disease. For patients who achieved complete gross resection after controlling for confounders compared with patients with no ascites, those with low (hazard ratio (HR) 1.37, 95% CI 1.09 to 1.72) and high volume ascites (HR 1.94, 95% CI 1.47 to 2.55) had worse overall survival. Similarly, patients with low volume ascites had better survival compared with those with high volume ascites (HR 0.71 95% CI 0.54 to 0.93).

CONCLUSIONS

The presence and volume of malignant ascites at the time of primary debulking surgery was associated with the likelihood of achieving a complete gross resection and worse overall survival.

Preoperative CT or PET/CT to Assess Pelvic and Para-Aortic Lymph Node Status in Epithelial Ovarian Cancer? A Systematic Review and Meta-Analysis

Background: In advanced epithelial ovarian cancer (EOC), the LION trial restricted lymphadenectomy indication to patients with suspect lymph nodes before and during surgery. Preoperative imaging is used to assess lymph node status, and particularly CT and PET/CT. The aim of this systematic review and meta-analysis was to evaluate the diagnostic accuracy of preoperative CT and PET/CT to detect lymph node metastasis (LNM) in patients with EOC; Methods: Databases were searched from January 1990 to May 2019 for studies that evaluated the diagnostic accuracy of preoperative CT and PET/CT to detect LNM in patients with EOC with histology as the gold standard. Pooled diagnostic accuracy was calculated using bivariate random-effects models and hierarchical summary receiver operating curve (HSROC). This study is registered with PROSPERO number CRD42020179214; Results: A total of five studies were included in the meta-analysis: four articles concerned preoperative CT and four articles concerned preoperative PET/CT, involving 106 and 138 patients, respectively. For preoperative CT, pooled sensitivity was 0.47 95% CI [0.20–0.76], pooled specificity was 0.99 95% CI [0.75–1.00] and area under the curve (AUC) of the HSROC was 0.91 95% CI [0.88–0.93]. For preoperative PET/CT, pooled sensitivity was 0.81 95% CI [0.61–0.92], pooled specificity was 0.96 95% CI [0.91–0.99] and AUC of the HSROC was 0.97 95% CI [0.95–0.98]; Conclusions: PET/CT has a very high diagnostic accuracy, especially for specificity, to detect LNM in EOC and should be realized systematically, additionally to CT recommended to evaluate peritoneal spread, in the preoperative staging of patients with an advanced disease.

A Prediction Model for Optimal Primary Debulking Surgery Based on Preoperative Computed Tomography Scans and Clinical Factors in Patients With Advanced Ovarian Cancer: A Multicenter Retrospective Cohort Study

Objective

This study assessed the predictive value of preoperative computed tomography (CT) scans and clinical factors for optimal debulking surgery (ODS) in patients with advanced ovarian cancer (AOC).

Methods

Patients with AOC in International Federation of Gynecology and Obstetrics (FIGO) stage III-IV who underwent primary debulking surgery (PDS) between 2016 and 2019 from nine tertiary Chinese hospitals were included. Large-volume ascites, diffuse peritoneal thickening, omental cake, retroperitoneal lymph node enlargement (RLNE) below and above the inferior mesenteric artery (IMA), and suspected pelvic bowel, abdominal bowel, liver surface, liver parenchyma and portal, spleen, diaphragm and pleural lesions were evaluated on CT. Preoperative factors included age, platelet count, and albumin and CA125 levels.

Results

Overall, 296 patients were included, and 250 (84.5%) underwent ODS. The prediction model included age >60 years (P=0.016; prediction index value, PIV=1), a CA125 level >800 U/ml (P=0.033, PIV=1), abdominal bowel metastasis (P=0.034, PIV=1), spleen metastasis (P<0.001, PIV=2), diaphragmatic metastasis (P=0.014, PIV=2), and an RLNE above the IMA (P<0.001, PIV=2). This model had superior discrimination (AUC=0.788>0.750), and the Hosmer-Lemeshow test indicated its stable calibration (P=0.600>0.050). With the aim of maximizing the accuracy of prediction and minimizing the rate of inappropriate explorations, a total PIV ≥5 achieved the highest accuracy of 85.47% and identified patients who underwent suboptimal PDS with a specificity of 100%.

Conclusions

We developed a prediction model based on two preoperative clinical factors and four radiological criteria to predict unsatisfactory debulking surgery in patients with AOC. The accuracy of this prediction model needs to be validated and adjusted in further multicenter prospective studies.

Verteporfin-Loaded Lipid Nanoparticles Improve Ovarian Cancer Photodynamic Therapy In Vitro and In Vivo

Advanced ovarian cancer is the most lethal gynecological cancer, with a high rate of chemoresistance and relapse. Photodynamic therapy offers new prospects for ovarian cancer treatment, but current photosensitizers lack tumor specificity, resulting in low efficacy and significant side-effects. In the present work, the clinically approved photosensitizer verteporfin was encapsulated within nanostructured lipid carriers (NLC) for targeted photodynamic therapy of ovarian cancer. Cellular uptake and phototoxicity of free verteporfin and NLC-verteporfin were studied in vitro in human ovarian cancer cell lines cultured in 2D and 3D-spheroids, and biodistribution and photodynamic therapy were evaluated in vivo in mice. Both molecules were internalized in ovarian cancer cells and strongly inhibited tumor cells viability when exposed to laser light only. In vivo biodistribution and pharmacokinetic studies evidenced a long circulation time of NLC associated with efficient tumor uptake. Administration of 2 mg.kg^-1 free verteporfin induced severe phototoxic adverse effects leading to the death of 5 out of 8 mice. In contrast, laser light exposure of tumors after intravenous administration of NLC-verteporfin (8 mg.kg^-1) significantly inhibited tumor growth without visible toxicity. NLC-verteporfin thus led to efficient verteporfin vectorization to the tumor site and protection from side-effects, providing promising therapeutic prospects for photodynamic therapy of cancer.

Serum HE4, CA125, YKL-40, bcl-2, cathepsin-L and prediction optimal debulking surgery, response to chemotherapy in ovarian cancer

Background

The most important prognostic factor in the ovarian cancer is optimal cytoreduction. The neoadjuvant chemotherapy, an only optional method of treatment in this case and is still the subject of debate. The object of this study was to evaluate the usefulness of markers: CA 125, HE4, YKL-40 and bcl-2 as well as cathepsin L in predicting optimal cytoreduction and response to chemotherapy.

Methods

Sera were secured preoperatively. The division into groups was performed retrospectively depending on the method of treatment (surgery vs neoadjuvant chemotherapy) as well as on response to chemotherapy (sensitive vs resistant vs refractory). Comparisons were made between groups, and the diagnostic usefulness of tested proteins was examined.

Results

We found that statistically significant differences between primary operated patients and patients undergoing neoadjuvant chemotherapy were applicable only to the tumour markers (CA125 1206.79 vs 2432.38, p = 0.000191; HE4 78.87 vs 602.45, p = 0.000004; YKL-40 108.13 vs 203.96, p = 0.003991). Cathepsin-L and Bcl-2 were statistically insignificant. The cut-off point values were determined for the CA 125 (345 mIU/ml), HE4 (218.43 pmol/L) and YKL-40 (140.9 ng/ml). The sensitivity, specificity, PPV and NPV were as follows: CA125 (83.3%; 75%; 80.6%; 78.3%), HE4 (86.6%; 91.3%; 92.9%; 84%) and YKL-40 (75%; 83.3%; 84%; 74.1%).

Conclusion

Among the tested proteins the HE4 marker appears to be helpful in forecasting of optimal cytoreduction and possibly also of the prediction of response to platinum analogues used in first-line treatment of ovarian cancer.

Neoadjuvant chemotherapy and cytoreductive surgery in epithelial ovarian cancer

Ovarian cancer is one of the leading causes of death among gynecological cancers. This is because the majority of patients present with advanced stage disease. Primary debulking surgery (PDS) followed by adjuvant chemotherapy is still a mainstay of treatment. An optimal surgery, which is currently defined by leaving no gross residual tumor, is the goal of PDS. The extent of disease as well as the operative setting, including the surgeon’s skill, influences the likelihood of successful debulking. With extensive disease and a poor chance of optimal surgery or high morbidity anticipated, neoadjuvant chemotherapy (NACT) prior to primary surgery is an option. Secondary surgery after induction chemotherapy is termed interval debulking surgery (IDS). Delayed PDS or IDS is offered to patients who show some clinical response and are without progressive disease. NACT or IDS has become more established in clinical practice and there are numerous publications regarding its advantages and disadvantages. However, data on survival are limited and inconsistent. Only one large randomized trial could demonstrate that NACT was not inferior to PDS while the few randomized trials on IDS had inconsistent results. Without a definite benefit of NACT prior to surgery over PDS, one must carefully weigh the chances of safe and successful PDS against the morbidity and risks of suboptimal surgery. Appropriate selection of a patient to undergo PDS followed by chemotherapy or, preferably, to have NACT prior to surgery is very important. Some clinical characteristics from physical examination, serum tumor markers and/or findings from imaging studies may be predictive of resectability. However, no specific features have been consistently identified in the literature. This article will address the clinical data on prediction of surgical outcomes, the role of NACT, and the role of IDS.

The use of CT findings to predict extent of tumor at primary surgery for ovarian cancer

BACKGROUND

High tumor dissemination (HTD) is a major risk factor for serious morbidity after primary ovarian cancer (OC) surgery, particularly in medically compromised patients. We performed a pilot study of whether CT findings could predict extent of disease and surgical complexity necessary in advanced OC.

METHODS

Preoperative CT images for patients with advanced OC from 1997-2003 were evaluated for rigorously defined disease-related findings and compared to both the findings at exploration and the required surgical procedures. Associations were assessed by the chi-square test.

RESULTS

Forty-six cases met inclusion criteria. Mean age was 66.4y, and 76% had residual disease (RD) 1cm or less. CT and surgical findings correlated (sensitivity/specificity) as follows: diaphragm disease (48%/100%); surface liver (100%/93%); omental cake (72%/65%); any sigmoid involvement (54%/100%); ascites (44%/100%); extra-pelvic large bowel involvement (29%/91%). When diaphragm disease and omental cake were present, HTD was found in all cases (positive predictive value and specificity=100%, sensitivity 48%). For CT findings of liver, large bowel and spleen involvement there was a strong trend toward resection (P=0.001, P=0.06 and P=0.06, respectively).

CONCLUSIONS

The findings of diaphragm disease and omental cake on CT scan are highly predictive for high tumor dissemination (HTD) and thus likelihood of extensive surgery required to achieve low residual disease. In addition, multiple CT findings correlate strongly with the need for higher surgical complexity which should facilitate preoperative planning and/or triage to specialized centers. These preliminary data suggest specific CT findings can be used to optimize treatment planning.