The SAlzburg PEritoneal SUrface CAlculator (SAPESUCA): The First Web-Based Application for Peritoneal Surface Area Quantification.
Tarkan JägerPhilipp SchredlDaniel NeureiterJaroslav PreslPeter TschannIngmar KönigsrainerAndreas PascherKlaus EmmanuelStephan RegenbogenJan Philipp RamspottPublished in: Cancers (2023)
(1) Background: Peritoneal metastasized colorectal cancer is associated with a worse prognosis. The combination of cytoreductive surgery (CRS) and hyperthermic intraperitoneal chemotherapy (HIPEC) showed promising results in selected patients, but standardization is lacking so far. We present the first tool enabling standardized peritoneal surface area (PSA) quantification in patients undergoing CRS and HIPEC: The SAlzburg PEritoneal SUrface CAlculator (SAPESUCA). (2) Methods: SAPESUCA was programmed using the R-Shiny framework. The application was validated in 23 consecutive colon cancer patients who received 27 closed oxaliplatin-based HIPECs between 2016 and 2020. The programming algorithm incorporates the patient's body surface area and its correlated peritoneal surface area (PSA) based on the 13 Peritoneal Cancer Index (PCI) regions. (3) Results: Patients' median age was 56 years. Median PCI was 9. SAPESUCA revealed a mean PSA of 18,613 cm 2 ± 1951 of all patients before compared to 13,681 cm 2 ± 2866 after CRS. The Central PCI region revealed the highest mean peritonectomy extent (1517 cm 2 ± 737). The peritonectomy extent correlated significantly with PCI score and postoperative morbidity. The simulated mean oxaliplatin dose differed significantly before and after CRS (558 mg/m 2 ± 58.4 vs. 409 mg/m 2 ± 86.1; p < 0.0001). (4) Conclusion: SAPESUCA is the first free web-based app for standardized determination of the resected and remaining PSA after CRS. The tool enables chemotherapeutic dose adjustment to the remaining PSA.
Keyphrases
- prostate cancer
- end stage renal disease
- patients undergoing
- chronic kidney disease
- newly diagnosed
- coronary artery disease
- ejection fraction
- radical prostatectomy
- atrial fibrillation
- peritoneal dialysis
- squamous cell carcinoma
- antiplatelet therapy
- machine learning
- radiation therapy
- patient reported outcomes
- single cell
- mass spectrometry
- coronary artery bypass
- molecularly imprinted
- surgical site infection