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Role of Laparoscopy in Assessing Resectability of Ovarian Cancer

Role of Laparoscopy in Assessing Tumor Resectability in Ovarian Cancer Cases

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05564234
Enrollment
30
Registered
2022-10-03
Start date
2019-12-09
Completion date
2022-04-09
Last updated
2022-10-04

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Ovarian Cancer

Brief summary

Aim of Work is Prevention of unnecessary laparotomies and failed attempts to perform optimal cytoreduction in women with advanced ovarian cancer.

Detailed description

Ovarian cancer is diagnosed at advanced stages in 80% of cases, leading to 5-year survival of approximately 30 %. Tumor reductive surgery and platinum and taxane-based chemotherapy has been the mainstay of treatment for advanced disease . The presence of residual disease after primary debulking surgery is a highly significant prognostic factor in women with advanced ovarian cancer. In up to 60 % of women, residual tumor of \>1 cm is left behind after primary debulking surgery. These women might have benefited from neoadjuvant chemotherapy (NACT) prior to interval debulking surgery instead of primary debulking surgery followed by chemotherapy. Previous studies have demonstrated a clear survival benefit if resection to no gross residual disease (R0 resection) can be achieved, More extensive surgical procedures have been performed to achieve R0 status and have been associated with increased surgical morbidity. Accurate assessment of tumor burden at initial diagnosis using preoperative computed tomography, serum CA 125, and clinical factors has been used in models with variable success and has been difficult to standardize across surgical practices. It is important to determine at the time of diagnosis which patients should undergo primary tumor reductive surgery (TRS), and which should receive neoadjuvant chemotherapy (NACT) in order to minimize surgical morbidity and maximize the extent of cytoreduction. As such, several algorithms to predict the extent of disease encountered at cytoreductive surgery have been developed and evaluated . Fagotti et al. (2008) developed a laparoscopic scoring algorithm comprised of seven parameters: omental caking, peritoneal carcinomatosis, diaphragmatic carcinomatosis, mesenteric retraction, bowel infiltration, stomach infiltration, and liver metastases. . A laparoscopy-based scoring model developed by Fagotti et al.,(2008) demonstrated that a predictive index value score of 8 or greater had a specificity of 100%, positive predictive value of 100%, and negative predictive value of 70% for predicting a suboptimal primary tumor reductive surgery. Optimal tumor reductive surgery was defined as 1 cm or less in this model . Follow-up studies have demonstrated that laparoscopic scoring carries a low risk of complications; helps avoid unnecessary laparotomies in patients in whom cytoreduction to no gross residual disease would not be possible. To provide a more standardized approach to the management of patients with advanced ovarian cancer, this study will be performed to triage appropriate patients to laparoscopic scoring assessment using the previously validated scoring algorithm as reported by Fagotti, We will estimate the effects of the laparoscopic scoring algorithm in patients with advanced ovarian cancer to improve complete gross surgical resection rates and to determine the resulting clinical outcomes.

Interventions

PROCEDURElaparoscopy then primary cytoreductive surgery

Laparoscopy was used to calcautation of fagotti PIV score , if less than 8 primary cytoreductive surgery were done.

PROCEDURElaparoscopy then neoadjuvant chemotherapy followed by interval cytoreductive surgery

Laparoscopy was used to calcautation of fagotti PIV score and provides the histological diagnosis , if score more than 8 the patient were received neoadjuvant chemotherapy followed by interval cytoreductive surgery

Sponsors

Zagazig University
Lead SponsorOTHER_GOV

Study design

Allocation
NON_RANDOMIZED
Intervention model
SINGLE_GROUP
Primary purpose
TREATMENT
Masking
NONE

Eligibility

Sex/Gender
FEMALE
Healthy volunteers
No

Inclusion criteria

* Patients diagnosed with suspicious ovarian cancer by clinical and radiological assessment are included in this study.

Exclusion criteria

* Patients with poor Eastern Cooperative Oncology Group grade more than 2. * Medical comorbidities at the time of diagnosis precluding primary surgery, newly diagnosed deep venous thrombosis or pulmonary embolus within 6 weeks of presentation. * Immobile pelvic tumor reaching to xiphisternum leading to conclusions that complete cytoreductive surgery is not feasible * Intrahepatic metastatic disease of more than one centimetre * Para-aortic lymphadenopathy larger than one centimetre above the level of the renal veins * Any contraindication for laparoscopy as cardiopulmonary compromise, intracranial diseases or large ventral hernia.

Design outcomes

Primary

MeasureTime frameDescription
complete gross resection of tumorbaselineThe primary outcome for our study included improving complete gross resection rates at tumour cytoreductive surgery compared to historical data and avoids futile laparotomy defined as residual tumour with a maximum diameter more than 1 cm after primary cytoreductive surgery.

Secondary

MeasureTime frameDescription
surgical morbidity.1 monthany complication during surgery or postoperative morbidity
Comparison between the accuracy of laparoscopy and CT with contrast on the abdomenbaselineThe secondary outcomes included comparison between laparoscopic assessment and preoperative CT with contrast according to the accuracy of detection of * Omental lesion. * Peritoneal nodules. * Implantations on the surface of diaphragm. * Affection and retraction of the mesentry of bowel. * Intestinal infiltration. * Stomach implants. * Metastasis on hepatic or splenic surfaces.

Countries

Egypt

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026