Magnetic resonance imaging relevance in diagnosis and prognosis of early postoperative period following pancreatic cancer surgical treatment
https://doi.org/10.37748/2686-9039-2023-4-4-4
EDN: HETXQY
Abstract
Purpose of the study. Improvement of the prognostic outcomes for the pancreatic fistula development in surgical treatment for pancreatic cancer by implementation of new diagnostic algorithms for magnetic resonance imaging (MRI) assessment of supposed pancreatic stump.
Materials and methods. We performed a retrospective analysis of MRI results of 1136 patients from the medical data base of National Medical Research Centre for Oncology for 2009–2020. An original scanning technique, trans- and cross-pancreatic imaging and MR spectroscopy of the pancreas in patients with pancreatic cancer, was developed and applied. Preoperative examinations were compared retrospectively: a standard MRI protocol without anatomical orientation of the series; MRI protocol using the developed technology.
Results. 717 patients were diagnosed with advanced pancreatic cancer. Lymph nodes were affected in 302 patients among 419 patients with radical surgeries. All cases were confirmed morphologically. In the group of 419 patients with pancreatic resections, based on the analysis of morphological and clinical data and preoperative MRI data, we developed an original preoperative scale for assessing the risk of pancreatic fistula development and compared its accuracy with other intraoperative scales, FRS and modified FRS. Lactate and lipid complex were selected from a wide range of metabolites. The surgical protocols and results of histological examination of the surgical material were used to prove the accuracy of the study. The overall accuracy of the technique in predicting fistula development was 97.5 %. New visual predictors («domino» and «white on white» symptoms) based on MRI data were used to improve the scale accuracy.
Conclusion. The developed method of using a modified scale for risk assessment of pancreatic fistula development allows predicting the onset of early postoperative complications already at the preoperative stage. When comparing the calculated risks of pancreatic fistula according to the developed scale with the results by the known scales (FRS and modified FRS), statistical analysis showed a significant difference for the better when compared with FRS (p = 0.0477), and a tendency when compared with modified FRS (p = 0.0544).
About the Authors
E. N. KolesnikovRussian Federation
Evgenii N. Kolesnikov – Dr. Sci. (Med.), senior researcher, head of the department of abdominal oncology No. 1, National Medical Research Centre for Oncology, Rostov-on-Don, Russian Federation.
ORCID: https://orcid.org/0000-0001-9749-709X, SPIN: 8434-6494, AuthorID: 347457, Scopus Author ID: 57190297598
Competing Interests:
the authors state that there are no conflicts of interest to disclose.
D. Ya. Iozefi
Russian Federation
Dmitriy Ya. Iozefi – head of department of magnetic resonance imaging, National Medical Research Centre for Oncology, Rostov-on-Don, Russian Federation.
ORCID: https://orcid.org/0000-0001-5519-1113, SPIN: 9650-8237, AuthorID: 799176
Competing Interests:
the authors state that there are no conflicts of interest to disclose.
O. I. Kit
Russian Federation
Oleg I. Kit – Academician at the Russian Academy of Sciences, Dr. Sci. (Med.), professor, general director, National Medical Research Centre for Oncology, Rostov-on-Don, Russian Federation.
ORCID: https://orcid.org/0000-0003-3061-6108, SPIN: 1728-0329, AuthorID: 343182, ResearcherID: U-2241-2017, Scopus Author ID: 55994103100
Competing Interests:
the authors state that there are no conflicts of interest to disclose.
A. Yu. Maksimov
Russian Federation
Aleksei Yu. Maksimov – Dr. Sci. (Med.), professor, deputy director general for advanced scientific research, National Medical Research Centre for Oncology, Rostov-on-Don, Russian Federation.
ORCID: https://orcid.org/0000-0002-1397-837X, SPIN: 7322-5589, AuthorID: 710705, Scopus Author ID: 56579049500
Competing Interests:
the authors state that there are no conflicts of interest to disclose.
References
1. The state of oncological care to the population of Russia in 2021. Edited by A.D. Kaprin, V. V. Starinsky, A. O. Shakhzadova. Moscow: P. A. Herzen MNIOI – Branch of the National Medical Research Radiological Center, 2022, 239 p. (In Russ.).
2. Tamburrino D, Partelli S, Crippa S, Manzoni A, Maurizi A, Falconi M. Selection criteria in resectable pancreatic cancer: a biological and morphological approach. World J Gastroenterol. 2014 Aug 28;20(32):11210–11215. https://doi.org/10.3748/wjg.v20.i32.11210
3. Schima W, Böhm G, Rösch CS, Klaus A, Függer R, Kopf H. Mass-forming pancreatitis versus pancreatic ductal adenocarcinoma: CT and MR imaging for differentiation. Cancer Imaging. 2020 Jul 23;20(1):52. https://doi.org/10.1186/s40644-020-00324-z
4. Zhu X, Lu N, Zhou Y, Xuan S, Zhang J, Giampieri F, et al. Targeting Pancreatic Cancer Cells with Peptide-Functionalized Polymeric Magnetic Nanoparticles. Int J Mol Sci. 2019 Jun 19;20(12):2988. https://doi.org/10.3390/ijms20122988
5. Hijioka S, Hara K, Mizuno N, Imaoka H, Bhatia V, Mekky MA, et al. Diagnostic performance and factors influencing the accuracy of EUS-FNA of pancreatic neuroendocrine neoplasms. J Gastroenterol. 2016 Sep;51(9):923–930. https://doi.org/10.1007/s00535-016-1164-6
6. Wilson JM, Mukherjee S, Brunner TB, Partridge M, Hawkins MA. Correlation of 18F-Fluorodeoxyglucose Positron Emission Tomography Parameters with Patterns of Disease Progression in Locally Advanced Pancreatic Cancer after Definitive Chemoradiotherapy. Clin Oncol (R Coll Radiol). 2017 Jun;29(6):370–377. https://doi.org/10.1016/j.clon.2017.01.038
7. Bieliuniene E, Frøkjær JB, Pockevicius A, Kemesiene J, Lukosevicius S, Basevicius A, et al. Magnetic Resonance Imaging as a Valid Noninvasive Tool for the Assessment of Pancreatic Fibrosis. Pancreas. 2019 Jan;48(1):85–93. https://doi.org/10.1097/MPA.0000000000001206
8. Baichorov ME. Prevention of complications after laparoscopic pancreatoduodenal resection. Dissertation. Moscow, 2021. (In Russ.).
9. Gorin DS, Kriger AG, Galkin GV, Kalinin DV, Glotov AV, Kaldarov AR, et al. Predicting of pancreatic fistula after pancreatoduodenectomy. Pirogov Russian Journal of Surgery. 2020;(7):61–67. (In Russ.). https://doi.org/10.17116/hirurgia202007161, EDN: OURZWR
10. Kovalenko ZA, Efanov MG. Scoring systems to predict pancreatic fistula after Whipple procedure. Pirogov Russian Journal of Surgery. 2021;(7):71–76. (In Russ.). https://doi.org/10.17116/hirurgia202107171, EDN: ZRAZZQ
11. Callery MP, Pratt WB, Kent TS, Chaikof EL, Vollmer CM. A prospectively validated clinical risk score accurately predicts pancreatic fistula after pancreatoduodenectomy. J Am Coll Surg. 2013 Jan;216(1):1–14. https://doi.org/10.1016/j.jamcollsurg.2012.09.002
12. Miller BC, Christein JD, Behrman SW, Drebin JA, Pratt WB, Callery MP, et al. A multi-institutional external validation of the fistula risk score for pancreatoduodenectomy. J Gastrointest Surg. 2014 Jan;18(1):172–179. https://doi.org/10.1007/s11605-013-2337-8
13. Bassi C, Marchegiani G, Dervenis C, Sarr M, Abu Hilal M, Adham M, et al. The 2016 update of the International Study Group (ISGPS) definition and grading of postoperative pancreatic fistula: 11 Years After. Surgery. 2017 Mar;161(3):584–591. https://doi.org/10.1016/j.surg.2016.11.014
14. Mungroop TH, van Rijssen LB, van Klaveren D, Smits FJ, van Woerden V, Linnemann RJ, et al. Alternative Fistula Risk Score for Pancreatoduodenectomy (a-FRS): Design and International External Validation. Ann Surg. 2019 May;269(5):937–943. https://doi.org/10.1097/SLA.0000000000002620
15. Gorin DS. Specific complications in surgery of pancreatic tumors. Dissertation. Moscow. Moscow, 2022. (In Russ.).
16. Sawlani V, Patel MD, Davies N, Flintham R, Wesolowski R, Ughratdar I, et al. Multiparametric MRI: practical approach and pictorial review of a useful tool in the evaluation of brain tumours and tumour-like lesions. Insights Imaging. 2020 Jul 17;11(1):84. https://doi.org/10.1186/s13244-020-00888-1
17. Kantor O, Talamonti MS, Pitt HA, Vollmer CM, Riall TS, Hall BL, et al. Using the NSQIP Pancreatic Demonstration Project to Derive a Modified Fistula Risk Score for Preoperative Risk Stratification in Patients Undergoing Pancreaticoduodenectomy. J Am Coll Surg. 2017 May;224(5):816–825. https://doi.org/10.1016/j.jamcollsurg.2017.01.054
Review
For citations:
Kolesnikov E.N., Iozefi D.Ya., Kit O.I., Maksimov A.Yu. Magnetic resonance imaging relevance in diagnosis and prognosis of early postoperative period following pancreatic cancer surgical treatment. South Russian Journal of Cancer. 2023;4(4):32-43. https://doi.org/10.37748/2686-9039-2023-4-4-4. EDN: HETXQY