It’s Not Just What Surgeons See, But How They Interpret It

Author:

Bhatt AditiORCID,Sammartino Paolo,Baratti Dario,Sardi Armando,Moran Brendan J.,Glehen Olivier

Publisher

Springer Science and Business Media LLC

Reference5 articles.

1. Nasser S, Babayeva A, Braicu I, Richter R, Bilir E, Chekerov R, Muallem MZ, Pietzner K, Inci MG, Sehouli J. Can a morphological description of the peritoneal carcinomatosis in advanced ovarian cancer add prognostic information? Analysis of 1686 patients of the tumour bank ovarian cancer. Front Oncol. 2022;21(12):1014073. https://doi.org/10.3389/fonc.2022.1014073.

2. Bhatt A, Villeneuve L, Sardi A, et al. Correlation of morphological appearance of peritoneal lesions at laparotomy and disease at pathological assessment in patients undergoing cytoreductive surgery for peritoneal malignancy: results of phase 1 of the PRECINCT study in 707 patients. Ann Surg Oncol. 2024. https://doi.org/10.1245/s10434-024-16035-9.

3. Wang C, Zhao J, Sun J, Tian C, Dai Z, Liu J, Ji C, Liu D, Wang X, Li H, Sun Y. Intraoperative pathological evaluation of suspicious peritoneal nodules for surgical decision-making in gastric cancer. J Gastrointest Surg. 2023;27(8):1545–59. https://doi.org/10.1007/s11605-023-05671-3.

4. Boerman OC, Aarntzen EHJG, de Reuver PR, Nagtegaal ID, Rijpkema M, de Wilt JHW. Multimodal CEA-targeted fluorescence and radio-guided cytoreductive surgery for peritoneal metastases of colorectal origin. Nat Commun. 2022;13(1):2621. https://doi.org/10.1038/s41467-022-29630-9.

5. Wei GX, Zhou YW, Li ZP, Qiu M. Application of artificial intelligence in the diagnosis, treatment, and recurrence prediction of peritoneal carcinomatosis. Heliyon. 2024;10(7):e29249. https://doi.org/10.1016/j.heliyon.2024.e29249.

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