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The pancreas-to-muscle signal intensity ratio on T1-weighted MRI as a predictive biomarker for postoperative pancreatic fistula after distal pancreatectomy: a single-center retrospective study

Abstract

Background

Postoperative pancreatic fistula (POPF) is one of the serious complications of pancreatic surgery. When POPF occurs and becomes severe, it causes secondary complications and a longer treatment period. We previously reported a correlation between pancreatic fibrosis and magnetic resonance imaging (MRI) findings, and MRI may have the potential to predict POPF. This study aimed to assess the predictive ability of the pancreas-to-muscle signal intensity ratio on T1-weighted MRI (SIR on T1-w MRI) for POPF after distal pancreatectomy (DP).

Methods

This single-institution retrospective study comprised 117 patients who underwent DP. It was conducted between 2010 and 2021 at the Gifu University Hospital. We statistically analyzed pre-, intra-, and postoperative factors to assess the correlation with POPF.

Results

According to the definition and grading of the International Study Group of Pancreatic Fistula (ISGPF), 29 (24.8%) of the 117 patients had POPF grades B and C. In the univariate analysis, POPF was significantly associated with the pancreas-to-muscle SIR on T1-w MRI, the drainage fluid amylase concentration (D-Amy) levels on postoperative day (POD) 1 and 3, white blood cell count on POD 1 and 3, C-reactive protein level on POD 3, and heart rate on POD 3. In multivariate analysis, only the pancreas-to-muscle SIR on T1-w MRI (>1.37; odds ratio [OR] 23.25; 95% confidence interval [CI] 3.93–454.03; p < 0.01) and D-Amy level on POD 3 (>737 U/l; OR 3.91; 95% CI 1.02–16.36; p = 0.046) were identified as independent predictive factors.

Conclusions

The pancreas-to-muscle SIR on T1-w MRI and postoperative D-Amy levels were able to predict the development of POPF after DP. The pancreas-to-muscle SIR on T1-w MRI may be a potential objective biomarker reflecting pancreatic status.

Background

Postoperative pancreatic fistula (POPF) is one of the most serious complications of pancreatic surgery for pancreatic disease. POPF causes secondary complications, such as abdominal abscess, delayed gastric emptying, and postoperative bleeding, and may lead to a prolonged hospital stay duration and surgery-related death [1,2,3]. Although surgical procedures have been standardized and surgical devices developed in pancreatic surgery, the incidence of POPF has been reported to still range from 3 to 50%, even at high-volume centers [4,5,6,7]. Furthermore, POPF still occurs at, as high as, 24 to 39% even after distal pancreatectomy (DP) without pancreaticoenteral anastomosis [8,9,10,11,12,13]. Therefore, POPF is considered to be caused by surgery-related factors and pancreas-related factors.

Pancreatic parenchyma becomes hardened because of fibrosis, and the hardness of the pancreatic parenchyma is known to be associated with POPF [14, 15]. We previously reported a significant correlation between the pathological classification of the pancreatic fibrosis grade and the development of POPF [16, 17]. We also reported using the pancreas-to-muscle signal intensity ratio on T1-weighted MRI (SIR on T1-w MRI) to evaluate pancreatic fibrosis and predict POPF [16, 17].

This study aimed to assess the potential of the pancreas-to-muscle SIR on T1-w MRI as a predictive factor for POPF after DP.

Methods

Patients

In this single-center retrospective study, we included 134 consecutive patients who underwent DP for pancreatic disease at Gifu University Hospital between January 2010 and December 2021. All procedures were conducted by expert surgeons who had qualified through the board certification system of the Japanese Society of Hepato-Biliary-Pancreatic Surgery (JSHBPS). We excluded 17 patients in total (simultaneous resection of other organs), so 117 patients were included in this study (Fig. 1). We conducted our study in accordance with the World Medical Association Declaration of Helsinki, and the Ethics Committee of Gifu University approved the study (approval number: 2021-026).

Fig. 1
figure 1

Exclusion criteria

Patient characteristics were classified into three categories: pre-, intra-, and postoperative factors (Fig. 2). The six preoperative factors were age, sex, body mass index (BMI), pancreatic disease (pancreatic ductal adenocarcinoma (PDAC) or non-PDAC), tumor location, and the pancreas-to-muscle SIR on T1-w MRI. The six intraoperative factors included operative time, blood loss, surgical procedure ((i) open or laparoscopic surgery, (ii) spleen preserving or non-preserving), pancreatic resection procedure (hand-sewn or stapler), pancreas texture (soft or hard), and pancreas thickness measured intraoperatively on resection site. Finally, the five postoperative factors included the amylase concentration levels of drainage fluid (D-Amy), the white blood cell (WBC) count, C-reactive protein (CRP) level, body temperature, and heart rate on postoperative day (POD) 1 and 3. Body temperature was the maximum value and heart rate was the average value on the measurement day.

Fig. 2
figure 2

Analysis flow chart for identifying predictive factors for postoperative pancreatic fistula (POPF) after distal pancreatectomy (DP)

Perioperative management

In cases of DP for PDAC, regional lymph node dissection with splenectomy following the classification of pancreatic carcinoma of the Japan Pancreas Society [18] and pancreatic resection of the portal vein were performed. In the case of DP for non-PDAC, systematic lymph node dissection was omitted, and pancreatic resection was performed with sufficient margin from the tumor. Pancreatic resection was performed with a hand-sewn closure or using a linear stapler.

In the hand-sewn closure group, the pancreas was resected after identifying the main pancreatic duct, and the main pancreatic duct was ligated with a 3-0 silk suture. The stump of the remnant pancreas was closed with a vertical mattress suture using 5-0 polypropylene. For the group that underwent pancreatic resection using a linear stapler, the pancreas was resected with a purple or black cartridge using Endo GIA™ Tri-Staple or Signia™ stapling system (Medtronic plc., Dublin, Ireland). The closed jaw was clamped carefully and slowly, taking 5 min, at a fixed speed. The firing was performed at 1 cm per minute by firmly fixing the stapler. After firing, the jaws of the stapler were held shut for 1 min. One 19Fr. Blake silicon drain (Johnson and Johnson Inc. New Brunswick, NJ, USA) was then placed near the stump of the remnant pancreas. The drain was removed on POD 4–5, when the drainage fluid was clear, the postoperative course was stable, and the patient was without abdominal pain, fever, or other symptoms. The D-Amy levels were measured on POD 1, 3, and 5. All patients received prophylactic antibiotics (cefmetazole) only intraoperatively or 2 days postoperatively.

The pancreas-to-muscle signal intensity ratio on T1-weighted MRI

Previously, we studied the potential value of preoperative MRI in evaluating pancreatic properties [16, 17] and reported that the pancreas-to-muscle SIR on T1-w MRI significantly correlated with pancreatic fibrosis and that it may be a potential biomarker for predicting POPF for pancreatic surgery. The pancreatic parenchyma’s signal intensity (SI) on the portal vein and the paraspinal muscle was measured using fat-suppressed axial T1-weighted imaging (Fig. 3). The pancreas-to-muscle SIR on T1-w MRI was calculated using the following equation: [SI of the pancreatic parenchyma]/[SI of the paraspinal muscle].

Fig. 3
figure 3

The pancreas-to-muscle signal intensity ratio on fat-suppressed axial T1-weighted MRI was calculated by [signal intensity of the pancreatic parenchyma] (arrow)/[signal intensity of the paraspinal muscle] (arrowhead)

Definition of POPF

In this study, we included only clinically symptomatic POPF. Therefore, only grades B and C pancreatic fistulas were defined as POPF (grade B, symptomatic fistula requiring therapeutic intervention such as antibiotics and percutaneous drainage; grade C, symptomatic fistula associated with a severe general condition of patients, sepsis, and multiorgan failure requiring aggressive treatment in the intensive care unit and surgical intervention), based on the International Study Group of Pancreatic Fistula (ISGPF) definitions [19]. Diagnosis day of POPF was defined as when intra-abdominal fluid collection with positive cultures was identified by ultrasonography (US) or computed tomography (CT).

Statistical analysis

Continuous variables were expressed as median (range) values, and categorical variables were expressed as frequencies (percentages). For comparisons of variables between the POPF and non-POPF groups, Fisher’s exact test was used for categorical variables. A Mann-Whitney U test was used for continuous variables. The predictive ability for POPF after DP was assessed by calculating the area under the receiver operating characteristic (ROC) curve. Youden’s index was used to determine the optimal cutoff value to calculate specificities and sensitivities in the ROC curve analysis. The variables identified as potentially significant by univariate analysis were selected for multivariate analysis with a logistic regression model to identify the independent predictors of POPF after DP. The limit of statistical significance for all analyses was defined as a 2-sided p-value of 0.05. All statistical analyses were performed using JMP software (SAS Institute Inc., Cary, NC, USA).

Results

Comparison of clinical outcomes between patients with and without POPF

In total, 117 patients underwent DP for pancreatic disease. Symptomatic POPF occurred in 29 (24.8 %) patients. Patients’ clinical outcomes after DP are summarized in Table 1. The median time at which POPF was confirmed was POD 7 (3–25 days). In the patients with POPF, the median time until hospital discharge was 35 days postoperatively (range, 12–121 days), and two patients had died within 30 postoperative days. A comparison between patients with and without POPF indicated significant differences in hospital stay duration (p < 0.01).

Table 1 Comparison of clinical outcomes between patients with and without POPF after distal pancreatectomy

Comparison of pre-, intra-, and postoperative status between patients with and without POPF

Table 2 summarizes the 17 factors (classified into three categories) compared between patients with and without POPF.

Table 2 Comparison of pre-, intra-, and postoperative status between patients with and without POPF after distal pancreatectomy

Among preoperative factors, the pancreas-to-muscle SIR on T1-w MRI was significantly higher in the POPF group than in the non-POPF group (p < 0.01). Among intraoperative factors, there was no significant difference between the two groups. Among postoperative factors, the D-Amy level on POD 1 and 3 (p = 0.02 and p < 0.01, respectively), WBC on POD 1 and 3 (p < 0.01 and p = 0.048, respectively), CRP level on POD 3 (p < 0.01), and heart rate on POD 3 (p < 0.01) were significantly higher in the POPF group than in the non-POPF group.

Cutoff values of the pancreas-to-muscle SIR on T1-w MRI and D-Amy levels for predicting POPF

The ROC curves for generating the cutoff values of the pancreas-to-muscle SIR on T1-w MRI and D-Amy level on POD 1 and 3 are shown in Fig. 4. The cutoff value of the pancreas-to-muscle SIR on T1-w MRI was +1.37, with an area under the curve (AUC) of 0.741, a sensitivity of 96.3%, and specificity of 52.0% (Fig. 4a). The cutoff value of the D-Amy level on POD 1 was 7238 U/l, with an AUC of 0.729, a sensitivity of 55.2%, and a specificity of 80.5% (Fig. 4b). The cutoff value of the D-Amy level on POD 3 was 737 U/l, with an AUC of 0.721, a sensitivity of 72.4%, and a specificity of 65.5% (Fig. 4c).

Fig. 4
figure 4

Receiver operating characteristic (ROC) curve analysis of pancreas-to-muscle SIR on T1-weighted MRI and D-Amy level on POD 1 and 3 for discriminating to POPF

Uni- and multivariate analysis of prediction for POPF after DP

In a univariate logistic regression analysis, POPF after DP was significantly associated with the pancreatic-to-muscle SIR on T1-w MRI (p < 0.01), D-Amy level on POD 1 and 3 (both p < 0.01), WBC on POD 1 and 3 (p < 0.01 and p = 0.04, respectively), CRP level on POD 3 (p < 0.01), and heart rate on POD 3 (p = 0.02).

A multivariate logistic regression analysis revealed that the pancreas-to-muscle SIR on T1-w MRI (>1.37; odds ratio [OR] 23.25; 95% confidence interval [CI] 3.93–454.03; p < 0.01) and D-Amy level on POD 3 (>737 U/l; OR 3.91; 95% CI 1.02–16.36; p = 0.046), were independent predictive factors of POPF after DP (Table 3).

Table 3 Uni- and multivariate predictive factors of POPF after DP

Discussion

A high incidence of POPF is still reported in pancreatic surgery despite ongoing attempts to reduce its frequency with the development of surgical techniques and devices [4,5,6,7,8,9,10,11,12,13]. The clinical nuisance of POPF is that delayed therapeutic intervention can lead to secondary complications [1,2,3]. This can lead to severe disease and prolonged treatment. In this study, patients with POPF showed an increase in hospital stay duration and mortality. Furthermore, we have previously studied that in PDAC cases, the onset of POPF leads to a delay in initiating postoperative adjuvant chemotherapy [20]. Thus, POPF may affect not only short-term, but also long-term prognosis. Therefore, early and accurate diagnosis of POPF and the promptest possible interventions possible are required. However, this study’s median time for POPF diagnosis was 7 days (range, 3–25), making early diagnosis difficult with only routine postoperative examination. We identified two predictive factors for POPF: (i) the pancreas-to-muscle SIR on T1-w MRI > 1.37 and (ii) the D-Amy level on POD 3 > 737 U/l.

D-Amy levels are among the most established predictive factors for POPF. Therefore, the definition of POPF according to the ISGPF offers the definitive diagnosis according to the D-Amy level on POD 3. In this study, D-Amy levels were also significantly correlated with POPF. There is no doubt that amylase in the drainage fluid is useful in predicting POPF, as has been reported many times [21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42]. However, the following remain somewhat unclear: (1) the optimal timing of measurement, (2) the optimal cutoff value, (3) the optimal drain placement site, and (4) whether drainage fluid concentration or the total amount of amylase is more reliable. In addition, postoperative drain obstruction due to fibrin or clots, and drain misalignment often occurs, interfering with accurate D-Amy level measurements.

The nature of the pancreas itself is thought to play a profound role in the development of POPF. In particular, the texture of pancreatic parenchyma (soft pancreas) has been an important risk factor for POPF. However, the problem is that the pancreatic texture is very subjective and cannot be quantified. To solve this problem, we previously investigated the correlation between preoperative pancreatic MRI features and the histopathological pancreatic fibrosis grade of surgical specimens (fibrosis was graded as follows: F0 = normal pancreatic parenchyma, no fibrotic changes; F1 = mild fibrosis with thickening of periductal fibrosis tissue; F2 = moderate fibrosis with marked sclerosis of interlobular septa and no evidence of architectural changes; and F3 = severe fibrosis with detection of architectural destruction) [16, 17]. We found that the pancreas-to-muscle SIR on T1-w MRI significantly correlated with the pancreatic fibrosis grade. This is because normal pancreatic parenchyma exhibits hyperintensity on T1-w MRI, as pancreatic juice is rich in glycoproteins, and the endoplasmic reticulum within the pancreatic cells contributes to the T1 shortening effect. However, the signal intensity gradually decreases with the progression of pancreatic atrophy, fibrosis, interstitial edema, or fat deposition [43, 44]. In our previous study, the mean pancreas-to-muscle SIR on T1-w MRI values for F0 and F1, which correspond to the soft pancreas, were 1.51 and 1.48, respectively. Furthermore, the pancreas-to-muscle SIR on T1-w MRI in patients with POPF was significantly higher than that in patients without POPF. Based on these findings, we hypothesized that the pancreas-to-muscle SIR on T1-w MRI might be a potential biomarker for predicting POPF and calculated the cutoff value of 1.41 [16]. Yoon et al. conducted a similar study and reported the mean pancreas-to-muscle SIR on T1-w MRI values for F0 and F1 and the cutoff value for predicting POPF was 1.51, 1.48, and 1.40, respectively [45]. Interestingly, the calculated cutoff value for predicting POPF (1.37) in this study is very close to previous studies.

This study had some limitations. First, it was retrospective in design, was undertaken at a single institution, and involved a small number of study patients. The relatively small sample size may have caused a selection bias and multiplicity issues in statistical analysis. This limitation should be considered when evaluating our study results. A prospective, multi-centered study is needed involving a larger number of patients in the future. Second, there were the technical variations in the surgical procedure of DP, such as open or laparoscopic, spleen preserving or non-preserving, hand-sewn or stapler, and lymph node dissection or not. This study found no significant correlation between surgical-related factors and POPF. It is necessary to unify surgical techniques in order to calculate more appropriate cutoff values of the pancreas-to-muscle SIR on T1-weighted MRI and D-Amy levels.

Conclusions

We found that the pancreas-to-muscle SIR on T1-weighted MRI and D-Amy levels may have predictive value for POPF. The pancreas-to-muscle SIR is an objective and quantitative biomarker reflecting pancreatic characteristics. Postoperative management based on the pancreas-to-muscle SIR on T1-weighted MRI may contribute to a shortened hospital stay.

Availability of data and materials

The datasets used during this study are available from the corresponding author upon reasonable request.

Abbreviations

BMI:

Body mass index

CI:

Confidence interval

CT:

Computed tomography

D-Amy:

Drainage fluid amylase

DP:

Distal pancreatectomy

MRI:

Magnetic resonance imaging

OR:

Odds ratio

ISGPF:

International Study Group of Pancreatic Fistula

PD:

Pancreaticoduodenectomy

PDAC:

Pancreatic ductal adenocarcinoma

POD:

Postoperative day

POPF:

Postoperative pancreatic fistula

ROC:

Receiver operating characteristic

SIR on T1-w MRI:

Signal intensity ratio on T1-weighted MRI

US:

Ultrasonography

References

  1. Fujino Y. Perioperative management of distal pancreatectomy. World J Gastroenterol. 2015;21:3166–9. https://doi.org/10.3748/wjg.v21.i11.3166 PMID: 25805921.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Sell NM, Pucci MJ, Gabale S, Leiby BE, Rosato EL, Winter JM, et al. The influence of transection site on the development of pancreatic fistula in patients undergoing distal pancreatectomy: a review of 294 consecutive cases. Surgery. 2015;157:1080–7. https://doi.org/10.1016/j.surg.2015.01.014 Epub 2015 Mar 16. PMID: 25791028.

    Article  PubMed  Google Scholar 

  3. Glowka TR, von Websky M, Pantelis D, Manekeller S, Standop J, Kalff JC, et al. Risk factors for delayed gastric emptying following distal pancreatectomy. Langenbecks Arch Surg. 2016;401:161–7. https://doi.org/10.1007/s00423-016-1374-7 Epub 2016 Jan 27. PMID: 26814716.

    Article  PubMed  Google Scholar 

  4. Andrianello S, Marchegiani G, Malleo G, Masini G, Balduzzi A, Paiella S, et al. Pancreaticojejunostomy with externalized stent vs pancreaticogastrostomy with externalized stent for patients with high-risk pancreatic anastomosis: a single-center, phase 3, randomized clinical trial. JAMA Surg. 2020;155:313–21. https://doi.org/10.1001/jamasurg.2019.6035.

    Article  PubMed  Google Scholar 

  5. Zhang H, Zhu F, Shen M, Tian R, Shi CJ, Wang X, et al. Systematic review and meta-analysis comparing three techniques for pancreatic remnant closure following distal pancreatectomy. Br J Surg. 2015;102:4–15. https://doi.org/10.1002/bjs.9653.

    Article  CAS  PubMed  Google Scholar 

  6. Kawai M, Tani M, Terasawa H, Ina S, Hirono S, Nishioka R, et al. Early removal of prophylactic drains reduces the risk of intra-abdominal infections in patients with pancreatic head resection: prospective study for 104 consecutive patients. Ann Surg. 2006;244:1–7. https://doi.org/10.1097/01.sla.0000218077.14035.a6.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Xiong JJ, Tan CL, Szatmary P, Huang W, Ke NW, Hu WM, et al. Meta-analysis of pancreaticogastrostomy versus pancreaticojejunostomy after pancreaticoduodenectomy. Br J Surg. 2014;101:1196–208. https://doi.org/10.1002/bjs.9553.

    Article  CAS  PubMed  Google Scholar 

  8. Hirano S, Kondo S, Hara T, Ambo Y, Tanaka E, Shichinohe T, et al. Distal pancreatectomy with en bloc celiac axis resection for locally advanced pancreatic body cancer: long-term results. Ann Surg. 2007;246:46–51. https://doi.org/10.1097/01.sla.0000258608.52615.5a PMID: 17592290.

    Article  PubMed  PubMed Central  Google Scholar 

  9. McPhee JT, Hill JS, Whalen GF, Zayaruzny M, Litwin DE, Sullivan ME, et al. Perioperative mortality for pancreatectomy: a national perspective. Ann Surg. 2007;246:246–53. https://doi.org/10.1097/01.sla.0000259993.17350.3a PMID: 17667503.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Sledzianowski JF, Duffas JP, Muscari F, Suc B, Fourtanier F. Risk factors for mortality and intra-abdominal morbidity after distal pancreatectomy. Surgery. 2005;137:180–5. https://doi.org/10.1016/j.surg.2004.06.063 PMID: 15674199.

    Article  CAS  PubMed  Google Scholar 

  11. Goh BK, Tan YM, Chung YF, Cheow PC, Ong HS, Chan WH, et al. Critical appraisal of 232 consecutive distal pancreatectomies with emphasis on risk factors, outcome, and management of the postoperative pancreatic fistula: a 21-year experience at a single institution. Arch Surg. 2008;143:956–65. https://doi.org/10.1001/archsurg.143.10.956 PMID: 18936374.

    Article  PubMed  Google Scholar 

  12. Shimada K, Sakamoto Y, Sano T, Kosuge T. Prognostic factors after distal pancreatectomy with extended lymphadenectomy for invasive pancreatic adenocarcinoma of the body and tail. Surgery. 2006;139:288–95. https://doi.org/10.1016/j.surg.2005.08.004 PMID: 16546491.

    Article  PubMed  Google Scholar 

  13. Lillemoe KD, Kaushal S, Cameron JL, Sohn TA, Pitt HA, Yeo CJ. Distal pancreatectomy: indications and outcomes in 235 patients. Ann Surg. 1999;229:693–8. https://doi.org/10.1097/00000658-199905000-00012 discussion 698–700. PMID: 10235528.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Hashimoto Y, Sclabas GM, Takahashi N, Kirihara Y, Smyrk TC, Huebner M, et al. Dual-phase computed tomography for assessment of pancreatic fibrosis and anastomotic failure risk following pancreatoduodenectomy. J Gastrointest Surg. 2011;15:2193–204. https://doi.org/10.1007/s11605-011-1687-3.

    Article  PubMed  Google Scholar 

  15. Kim Z, Kim MJ, Kim JH, Jin SY, Kim YB, Seo D, et al. Prediction of postoperative pancreatic fistula in pancreaticoduodenectomy patients using preoperative MRI: a pilot study. HPB (Oxford). 2009;11:215–21. https://doi.org/10.1111/j.1477-2574.2009.00011.x.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Watanabe H, Kanematsu M, Tanaka K, Osada S, Tomita H, Hara A, et al. Fibrosis and postoperative fistula of the pancreas: correlation with MR imaging findings--preliminary results. Radiology. 2014;270:791–9. https://doi.org/10.1148/radiol.13131194 Epub 2013 Nov 8. PMID: 24475834.

    Article  PubMed  Google Scholar 

  17. Noda Y, Goshima S, Suzui N, Miyazaki T, Kajita K, Kawada H, et al. Pancreatic MRI associated with pancreatic fibrosis and postoperative fistula: comparison between pancreatic cancer and non-pancreatic cancer tissue. Clin Radiol. 2019;74:490.e1–6. https://doi.org/10.1016/j.crad.2019.02.013 Epub 2019 Mar 23. PMID: 30914207.

    Article  CAS  Google Scholar 

  18. Japan Pancreas Society. Classification of pancreatic carcinoma. 4th ed. Tokyo: Kanehara & Co., Ltd.; 2017.

    Google Scholar 

  19. Bassi C, Dervenis C, Butturini G, Fingerhut A, Yeo C, Izbicki J, et al. Postoperative pancreatic fistula: an international study group (ISGPF) definition. Surgery. 2005;138:8–13. https://doi.org/10.1016/j.surg.2005.05.001 PMID: 16003309.

    Article  PubMed  Google Scholar 

  20. Fukada M, Murase K, Higashi T, Yokoi R, Tanaka Y, Okumura N, et al. Early predictive factors for postoperative pancreatic fistula after distal pancreatectomy for pancreatic cancer. Cancer Diagn Progn. 2022;2:452–61. https://doi.org/10.21873/cdp.10128 PMID: 35813012.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Ridolfini MP, Alfieri S, Gourgiotis S, Di Miceli D, Rotondi F, Quero G, et al. Risk factors associated with pancreatic fistula after distal pancreatectomy, which technique of pancreatic stump closure is more beneficial? World J Gastroenterol. 2007;13:5096–100. https://doi.org/10.3748/wjg.v13.i38.5096 PMID: 17876875.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Pannegeon V, Pessaux P, Sauvanet A, Vullierme MP, Kianmanesh R, Belghiti J. Pancreatic fistula after distal pancreatectomy: predictive risk factors and value of conservative treatment. Arch Surg. 2006;141:1071–6. https://doi.org/10.1001/archsurg.141.11.1071 Discussion 1076. PMID: 17116799.

    Article  PubMed  Google Scholar 

  23. Yoshioka R, Saiura A, Koga R, Seki M, Kishi Y, Morimura R, et al. Risk factors for clinical pancreatic fistula after distal pancreatectomy: analysis of consecutive 100 patients. World J Surg. 2010;34:121–5. https://doi.org/10.1007/s00268-009-0300-3 PMID: 20020297.

    Article  PubMed  Google Scholar 

  24. Distler M, Kersting S, Rückert F, Kross P, Saeger HD, Weitz J, et al. Chronic pancreatitis of the pancreatic remnant is an independent risk factor for pancreatic fistula after distal pancreatectomy. BMC Surg. 2014;14:54. https://doi.org/10.1186/1471-2482-14-54 PMID: 25127883.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Gomes RM, Doctor N. Three level risk assessment for pancreatic fistula formation after distal pancreatectomy with a strategy for prevention. Trop Gastroenterol. 2012;33:207–13. https://doi.org/10.7869/tg.2012.50 PMID: 23600052.

    Article  PubMed  Google Scholar 

  26. Soga K, Ochiai T, Sonoyama T, Inoue K, Ikoma H, Kikuchi S, et al. Risk factors for postoperative pancreatic fistula in distal pancreatectomy. Hepato-Gastroenterology. 2011;58:1372–6. https://doi.org/10.5754/hge09255 PMID: 21937410.

    Article  PubMed  Google Scholar 

  27. Kawabata Y, Nishi T, Tanaka T, Yano S, Tajima Y. Distal pancreatectomy utilizing a flexible stapler closure eliminates the risk of pancreas-related factors for postoperative pancreatic fistula. Eur Surg Res. 2013;50:71–9. https://doi.org/10.1159/000349977 Epub 2013 Apr 23. PMID: 23614941.

    Article  CAS  PubMed  Google Scholar 

  28. Eguchi H, Nagano H, Tanemura M, Takeda Y, Marubashi S, Kobayashi S, et al. A thick pancreas is a risk factor for pancreatic fistula after a distal pancreatectomy: selection of the closure technique according to the thickness. Dig Surg. 2011;28:50–6. https://doi.org/10.1159/000322406 Epub 2011 Feb 4. PMID: 21293132.

    Article  PubMed  Google Scholar 

  29. Sugimoto M, Gotohda N, Kato Y, Takahashi S, Kinoshita T, Shibasaki H, et al. Risk factor analysis and prevention of postoperative pancreatic fistula after distal pancreatectomy with stapler use. J Hepato-Bil Pancreat Sci. 2013;20:538–44. https://doi.org/10.1007/s00534-013-0596-0 PMID: 23430057.

    Article  Google Scholar 

  30. Kah Heng CA, Salleh I, San TS, Ying F, Su-Ming T. Pancreatic fistula after distal pancreatectomy: incidence, risk factors and management. ANZ J Surg. 2010;80:619–23. https://doi.org/10.1111/j.1445-2197.2010.05337.x PMID: 20840405.

    Article  PubMed  Google Scholar 

  31. Makni A, Rebai W, Daghfouss A, Ayadi S, Fterich F, Chebbi F, et al. Risk factors associated with pancreatic fistula after distal pancreatectomy. Tunis Med. 2012;90:148–53 PMID: 22407627.

    PubMed  Google Scholar 

  32. Sierzega M, Niekowal B, Kulig J, Popiela T. Nutritional status affects the rate of pancreatic fistula after distal pancreatectomy: a multivariate analysis of 132 patients. J Am Coll Surg. 2007;205:52–9. https://doi.org/10.1016/j.jamcollsurg.2007.02.077 PMID: 17617332.

    Article  PubMed  Google Scholar 

  33. Kawai M, Tani M, Yamaue H. Transection using bipolar scissors reduces pancreatic fistula after distal pancreatectomy. J Hepato-Bil Pancreat Surg. 2008;15:366–72. https://doi.org/10.1007/s00534-008-1330-1 Epub 2008 Aug 1. PMID: 18670836.

    Article  Google Scholar 

  34. Sato N, Mori Y, Minagawa N, Tamura T, Shibao K, Higure A, et al. Rapid postoperative reduction in prognostic nutrition index is associated with the development of pancreatic fistula following distal pancreatectomy. Pancreatology. 2014;14:216–20. https://doi.org/10.1016/j.pan.2014.02.006 Epub 2014 Mar 18. PMID: 24854618.

    Article  PubMed  Google Scholar 

  35. Subhedar PD, Patel SH, Kneuertz PJ, Maithel SK, Staley CA, Sarmiento JM, et al. Risk factors for pancreatic fistula after stapled gland transection. Am Surg. 2011;77:965–70. https://doi.org/10.1177/000313481107700811 PMID: 21944507.

    Article  PubMed  Google Scholar 

  36. Mendoza AS 3rd, Han HS, Ahn S, Yoon YS, Cho JY, Choi Y. Predictive factors associated with postoperative pancreatic fistula after laparoscopic distal pancreatectomy: a 10-year single-institution experience. Surg Endosc. 2016;30:649–56. https://doi.org/10.1007/s00464-015-4255-1 Epub 2015 Jun 20. PMID: 26091993.

    Article  PubMed  Google Scholar 

  37. Okano K, Oshima M, Kakinoki K, Yamamoto N, Akamoto S, Yachida S, et al. Pancreatic thickness as a predictive factor for postoperative pancreatic fistula after distal pancreatectomy using an endopath stapler. Surg Today. 2013;43:141–7. https://doi.org/10.1007/s00595-012-0235-4 Epub 2012 Jul 11. PMID: 22782593.

    Article  PubMed  Google Scholar 

  38. Frozanpor F, Albiin N, Linder S, Segersvärd R, Lundell L, Arnelo U. Impact of pancreatic gland volume on fistula formation after pancreatic tail resection. JOP. 2010;11:439–43 PMID: 20818111.

    PubMed  Google Scholar 

  39. Noji T, Nakamura T, Ambo Y, Suzuki O, Nakamura F, Kishida A, et al. Clinically relevant pancreas-related infectious complication after pancreaticoenteral anastomosis could be predicted by the parameters obtained on postoperative day 3. Pancreas. 2012;41:916–21. https://doi.org/10.1097/MPA.0b013e31823e7705 PMID: 22481291.

    Article  PubMed  Google Scholar 

  40. Kanda M, Fujii T, Takami H, Suenaga M, Inokawa Y, Yamada S, et al. Novel diagnostics for aggravating pancreatic fistulas at the acute phase after pancreatectomy. World J Gastroenterol. 2014;20:8535–44. https://doi.org/10.3748/wjg.v20.i26.8535 PMID: 25024608.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Fukami Y, Saito T, Osawa T, Hanazawa T, Kurahashi T, Kurahashi S, et al. Which is the best predictor of clinically relevant pancreatic fistula after pancreatectomy: drain fluid concentration or total amount of amylase? Ann Gastroenterol Surg. 2021;5:844–52. https://doi.org/10.1002/ags3.12471 PMID: 34755016.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Matar A, Meares T, Fisher OM, Gauci C, Rao A, Alshahrani M, et al. Postoperative pancreatic fistula after cytoreductive surgery and hyperthermic intraperitoneal chemotherapy: an update on incidence, risk factors, management, and clinical sequelae in 1,141 patients. Anticancer Res. 2021;41:5577–84. https://doi.org/10.21873/anticanres.15371 PMID: 34732428.

    Article  PubMed  Google Scholar 

  43. Mitchell DG, Vinitski S, Saponaro S, Tasciyan T, Burk DL Jr, Rifkin MD. Liver and pancreas: improved spin-echo T1 contrast by shorter echo time and fat suppression at 1.5 T. Radiology. 1991;178:67–71. https://doi.org/10.1148/radiology.178.1.1984328 PMID: 1984328.

    Article  CAS  PubMed  Google Scholar 

  44. Winston CB, Mitchell DG, Outwater EK, Ehrlich SM. Pancreatic signal intensity on T1-weighted fat saturation MR images: clinical correlation. J Magn Reson Imaging. 1995;5:267–71. https://doi.org/10.1002/jmri.1880050307 PMID: 7633102.

    Article  CAS  PubMed  Google Scholar 

  45. Yoon JH, Lee JM, Lee KB, Kim SW, Kang MJ, Jang JY, et al. Pancreatic steatosis and fibrosis: quantitative assessment with preoperative multiparametric MR imaging. Radiology. 2016;279:140–50. https://doi.org/10.1148/radiol.2015142254.

    Article  PubMed  Google Scholar 

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Acknowledgements

The authors thank the medical staff of the Department of Gastroenterological Surgery at Gifu University Hospital for their participation in this study. We could not have completed this study without their diligence and support. We would also like to thank Editage (www.editage.jp) for the English language editing.

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Authors and Affiliations

Authors

Contributions

MF conceived the study concept and planned the design as the principal investigator. MF interpreted the results and wrote the manuscript draft. KM and TH revised the manuscript draft through adding intellectual content and providing critical advice. MF, KM, TH, SF, MK, IY, YS, SK, YT, NO, NM, and TT obtained the data and provided critical comments to improve the manuscript and gave final approval for submission. The author(s) read and approved the final manuscript.

Corresponding author

Correspondence to Masahiro Fukada.

Ethics declarations

Ethics approval and consent to participate

The present study was conducted in accordance with the World Medical Association Declaration of Helsinki and was approved by the Ethics Committee of Gifu University (approval number “2021-26”). As this study was a retrospective study and did not include any potentially identifiable patient data, informed consent was not obtained from the enrolled patients. Our Institutional Review Board approved this retrospective study.

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Not applicable.

Competing interests

T. Takahashi received honoraria for lectures from Takeda Pharmaceutical Co., Ltd. The remaining authors declare that they have no competing interests.

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Fukada, M., Murase, K., Higashi, T. et al. The pancreas-to-muscle signal intensity ratio on T1-weighted MRI as a predictive biomarker for postoperative pancreatic fistula after distal pancreatectomy: a single-center retrospective study. World J Surg Onc 20, 250 (2022). https://doi.org/10.1186/s12957-022-02718-8

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