Integrated Prediction Model Machine Learning Algorithm

This web app has not yet been fully tested and is currently under review in Piedimonte et al. 2021. It is not for clinical use and we are not responsible for any decisions made as a result of this application.

After a patient has been deemed a candidate for primary cytoreductive surgery (excluding patients selected for neoadjuvant chemotherapy and patients with stage IVb unresectable disease), impute the following variables below.

After pressing the submit button, the algorithm will determine the probability of optimal cytoreduction and a probability of no gross residual disease.

Patient Factors

Age (years)

ECOG

Albumin

CA-125

BRCA1/2 Mutation (Germline or Somatic) UnknownBRCA1BRCA2

Surgical Resectability

Splenic Hilum or Splenic Ligaments Lesion

Gastrohepatic Ligament or Porta Hepatis Lesion

Retroperitoneal Lymph Nodes above the Renal Hilum

Diffuse Small Bowel Adhesions or Thickening

Moderate-Severe Abdominal Ascites or CA-125 >600

Gallbladder Fossa or Liver Intersegmental Fissure Lesion

Lesser Sac Lesion >1cm

Root of Superior Mesenteric Artery Lesion

Surgical Complexity

TAH-BSO + Omentectomy

Pelvic Lymphadenectomy

Para-Aortic Lymphadenectomy

Pelvic Peritoneum Stripping

Abdominal Peritoneum Stripping

Bowel Resection, excluding LAR Small BowelLarge BowelBoth

Diaphragm Stripping or Resection

Splenectomy

Liver Resection

Rectosigmoidectomy with Reanstomosis

VATS/Intrathoracic Resection

Predicted Probabilities