lNTRODUCTlON

Pancreaticoduodenectomy (PD) has been established as the standard surgical treatment for resectable pancreatic head cancer and periampullary tumors. Advances in surgical technology and perioperative care have reduced PD-related mortality from roughly 20% to less than 5%[1]. But the morbidity following a PD continues to remain high[2]. Hence, the focus has shifted to make PD a less morbid procedure. The most feared consequence of PD is postoperative pancreatic fistula (POPF)[1,2]. POPF is frequently linked to a lengthy and challenging hospital stay that imposes a significant social and financial burden. Despite numerous novel perioperative therapies, there has been no substantial reduction in reported POPF rates[2,3].

I began to think I should like very well to stay in this pleasant country, and I said so to the stately lady, but she answered with the greatest disdain: Do you think I would keep you here? _You_! Why what do you suppose would be the good of you in this country, where everybody is wide-awake and busy? No, no, I have shown you all the hospitality you will get from me

The implications of identifying patients at risk of clinically relevant POPF (CR-POPF) are manifold. To begin, we can tailor surgical procedures to high-risk factors by making modifications that have been demonstrated to reduce the occurrence of CR-POPF. Second, high-risk patients can be closely assessed for the need for early intervention to avoid the disastrous consequences of POPF. Finally, it helps identify low-risk patients in whom the enhanced recovery after surgery (ERAS) pathway may be implemented confidently. Commonly used predictive models for POPF, such as the Fistula Risk Score (FRS), modified FRS, and Day 1 Drain Fluid Amylase estimation, can be used only in the postoperative setting[4-6]. Attenuation and enhancement patterns of pancreatic parenchyma on computed tomography (CT) were studied as preoperative predictors of CR-POPF[7-11]. While pancreatic attenuation index (PAI) can quantify pancreatic fat, pancreatic enhancement ratio (PER) has been correlated with pancreatic fibrosis. Therefore, the presence of a higher preoperative mean PER and lower PAI can be considered protective against the development of CR-POPF after PD[7-11]. However, the predictive accuracy of these indices for CR-POPF was not prospectively studied. Also, the distribution of fat and fibrosis within the pancreas varies, with pancreatic neck fat and fibrosis assuming relevance since it is the site of anastomosis, which previous studies have not addressed. Also, no previous research has prospectively correlated preoperative PAI and PER with histological pancreatic fat fraction and fibrosis, particularly in the neck. The present study aims to calculate the accuracy of the pancreatic neck PAI and PER in predicting CR-POPF and its correlation with histological pancreatic neck fat fraction and fibrosis scoring.

Today we buried our 20-year-old son. He was killed instantly in a motorcycle accident on Friday night. How I wish I had known when I talked to him last that it would be the last time. If I had only known I would have said, Jim, I love you and I m so very proud of you.

The high fat fraction in the pancreas makes the pancreas softer, which might increase the risk of POPF following PD. Liver Attenuation Index is the widely used radiological index to measure liver fat fraction[21]. Similarly, Yardimci

[22] proposed PAI as a simple tool to assess pancreatic fat fraction based on the study of 76 patients who underwent PD. The PAI cut-off value of 0.67 was valuable for risk calculation in their research. Other studies also reported the usefulness of PAI in assessing pancreatic fat fraction[7,8]. Although PAI was proposed as a simple tool that can be quickly evaluated, the lack of adequate external validation remains the primary impediment to its widespread adoption. In the present study, PAI was not useful for predicting CR-POPF. Also, PAI did not correlate with histological pancreatic fat fraction. On the other hand, PAI correlated negatively with PER, indicating an inverse relationship between pancreatic fat content with fibrosis and pancreatic texture. According to our analysis, PAI may not accurately reflect pancreas fat fraction and softness. However, the lack of predict-ability and correlation may be due to the small sample size and the underpowered study.

The Board Meeting had come to an end. Bob started to stand up and jostled（，） the table, spilling his coffee over his notes. How embarrassing. I am getting so clumsy in my old age.

MATERlALS AND METHODS

Patient selection

Patients above 18 years of age who underwent elective PD for both benign and malignant pathology involving periampullary and pancreatic head from February 2019 to February 2021 and consented to participate were assessed for inclusion in the prospective observational study. Patients undergoing extended or total pancreatectomy and those with contraindication to undergo preoperative contrastenhanced CT (CECT) or severe atrophy of pancreatic tissue or extensive parenchymal calcifications in the pancreatic head and neck precluding calculation of PAI and PER were excluded from the study. Also, patients who died in the immediate postoperative period (< 48 h) were excluded from the analysis. The study was approved by the Institute's scientific advisory and Ethics Committee (JIP/IEC/2018/500 dated 25-01-2019).

Preoperative CT protocol

To calculate the accuracy of the pancreatic neck pancreatic attenuation index (PAI) and pancreatic enhancement ratio (PER) in predicting clinically relevant postoperative pancreatic fistula and its correlation with histological pancreatic neck fat fraction and fibrosis scoring.

Surgery

All patients underwent pylorus resecting PD at the surgeon's discretion using an open, laparoscopic, or robot-assisted technique. All operations were performed by three qualified surgeons with extensive experience in pancreatobiliary surgery. Pancreaticojejunostomy (PJ) was performed using modified Blumgart or a modified invagination technique depending on the size of the pancreatic duct at the surgeon's discretion. Hepaticojejunostomy (HJ) was done 15 cm distal to PJ by Blumgart Kelly technique. Antecolic Gastrojejunostomy was done about 50 cm distal to the HJ. Two abdominal drains were placed, one in the subhepatic space near HJ and the other one adjacent to the PJ. Feeding jejunostomy was done routinely for early postoperative enteral feeding.

Histopathological evaluation

A pancreatic neck tissue specimen was sent for histopathological evaluation. The pathologist, blinded to CT data and pancreatic texture, performed histological analysis. The existence of Langerhans' islets confirmed the Pancreatic tissue. Only tissue free of inflammatory lesions and calcifications was evaluated. The histologic pancreatic fat fraction was defined as the area ratio of pancreatic intraparenchymal fat to that of the total tissue times 100% (< 5%-mildly fatty; 5-15%-moderately fatty, > 15%-heavily fatty) using hematoxylin and eosin stain[12]. The degree of fibrosis was studied using Masson's trichome stain. The extent of intralobular and interlobular fibrosis was separately measured, and the total score (0-6) was calculated (Figure 2). According to the total score, fibrosis was classified as weak (score 0-3) and heavy (score 4-6)[13].

Outcome measures

The primary objective of this prospective observational study was to determine the predictive accuracy of PAI and PER for CR-POPF following PD. The patients' demographic and clinical data, including age, sex, body mass index, bilirubin level, preoperative biliary drainage, comorbidities (diabetes mellitus and hypertension), weight loss and radiological indices (PAI and PER) were collected to determine the preoperative factors predictive of CR-POPF. Also, the operative outcomes, including operative time, estimated blood loss, need for blood transfusion, pancreatic texture and postoperative complications, were compared between patients with and without CR-POPF. Delayed gastric emptying [DGE], Post pancreatectomy hemorrhage (PPH) and Postoperative pancreatic fistula [POPF] were graded as per the International Study Group for Pancreatic Surgery [ISGPS] definition[14-16]. To correlate preoperative CT indices (PAI and PER) with histopathological features, pancreatic neck fat fraction and fibrosis were measured in the pancreatic neck tissue specimen.

“Oh, the crow is dead,” she replied; “his tame sweetheart is now a widow, and wears a bit of black worsted round her leg. She mourns very pitifully, but it is all stuff. But now tell me how you managed to get him back.”

Statistical analysis

The statistical analysis was done using IBM SPSS Statistics for Windows, Version 28.0. (Armonk, NY, United States). The estimated sample size was calculated, anticipating an AUC of 0.75 for PER in predicting CR-POPF with 90% power and a 5% level of significance. The required sample size was calculated as 60. Both descriptive and inferential statistics were used to analyze the data. Baseline characteristics of the patients are presented by descriptive statistics. Categorical data (sex, clinical factors, presence or absence of DGE, CRPOPF, PPH, Intraabdominal abscess, pancreatic gland texture, pathological diagnosis) was described using percentages and frequencies and compared by using Fischer exact test or Chi-square test. The normality of continuous data was assessed by the Kolmogorov-Smirnov test. The normally distributed data were described by mean ± standard deviation (SD). Median and interquartile range was used for non-Gaussian data. Comparison of the continuous data (age, duct size, serum bilirubin) between the two groups was done by independent Student's

-test for parametric data and Mann-Whitney U-test for nonparametric data. The ability of PAI and PER to predict CR-POPF was assessed using receiver operating characteristic (ROC) analysis. A perfect test will have an AUC equaling 1. A 95% confidence interval was calculated and reported for the outcome measures. Statistical analysis was carried out at a 5% significance level, and

0.05 was considered statistically significant. The Pearson correlation coefficient (r) was used to examine the association of the histologic pancreatic fibrosis score and fat fraction with PAI and PER independently. A perfect positive correlation will show a value of +1, and a value of -1 indicates a perfect negative correlation.

RESULTS

Of the 70 patients who underwent PD during the study period, 61 patients fulfilling the inclusion criteria were included in the analysis. Five patients did not achieve the required ROI (0.2-0.3 cm

), three patients who could not undergo histopathological analysis due to insufficient or other pathological changes in the sample and one patient who died during the immediate postoperative period were excluded from the analysis.

Preoperative predictive factors for CR-POPF

The overall incidence of CR-POPF in the study cohort was 29.5% (18/61). The demographic variables, history of weight loss, presence of comorbidities, preoperative hemoglobin, serum bilirubin and preoperative biliary drainage were comparable between groups with and without CR-POPF (Table 1). While PAI was similar between the two groups, the mean (± SD) PER was significantly lower in patients developing CR-POPF (0.58 ± 0.20

0.81 ± 0.44,

= 0.006). The ROC analysis was done to determine the accuracy of PAI and PER in predicting CR-POPF (Figure 3). The area under the curve for the PAI was 0.461 (95%CI: 0.304-0.617), which was not significant (

= 0.630). At the same time, the area under the curve for the PER was 0.661 (95%CI: 0.517-0.804), which was significant (

0.049). We can predict whether a randomly chosen case will develop CR-POPF with a probability of 66.1%. With a cut-off of PER = 0.673, PER can predict those with CR-POPF with 77.8% sensitivity and 55.8% specificity (Figure 3).

Correlation between radiological indices (PAI, PER) and histopathological findings

There was no significant correlation between PAI and fat fraction or fibrosis score (Table 2). Pearson correlation coefficient between PER and fibrosis score was moderately positive and statistically significant with a strength of 0.504 and a

value of < 0.001. The positive correlation between PER and fibrosis score suggests that an increase in the intraparenchymal fibrosis results in the delayed pancreatic enhancement on CT, reflected as an increased PER. The correlation coefficient between PER and PAI was low negative and statistically significant, with a strength of -0.267 and a P-value of 0.037. The negative correlation between PER and PAI signifies that as the fibrosis increases, resulting in an increased delayed pancreatic enhancement, the fat fraction within the pancreas decreases, represented by a lower PAI.

Perioperative outcomes

The operative time, blood loss, intraoperative blood transfusion, surgical approach and pancreatic duct size was comparable between the two groups (Table 3). The proportion of patients with soft pancreas was significantly higher in the CR-POPF group. Postoperatively patients with CR-POPF had a significantly higher incidence of delayed gastric emptying (83.3%

30.2%,

0.001) and intraabdominal abscess (50%

2.3%,

0.001). Also, Patients with CR-POPF had a prolonged postoperative hospital stay. There was no significant difference in the pancreatic fat fraction and fibrosis score between the two groups.

During summer vacations, I would volunteer at the vet1 s, so I d seen a lot of dogs. Minnie was by far the funniest-looking dog I d ever seen. Thin curly hair barely covered her sausage-shaped body. Her bugged-out eyes always seemed surprised. And her tail looked like a rat s tail.

DlSCUSSlON

The present study documents the role of preoperative CT indices, especially PER, in predicting CRPOPF. Despite improved surgical techniques and perioperative management, PD remains a morbid procedure with a 30-50% estimated morbidity rate[1,2]. POPF is the critical cause of post-PD morbidity, and pancreatic texture has been reported as an important predictive parameter for POPF[17,18]. A soft pancreatic texture has been associated with an increased risk, while a firm pancreas protects against POPF. However, intraoperative assessment of gland consistency by the surgeon's digital palpation is highly subjective[18]. In recent years, laparoscopic and robotic approaches for PD have increased globally. Assessment of pancreatic texture during minimally invasive PD, especially the robotic approach, is challenging. Hence, parameters like acinar cell density and fibrosis score on histopathological examination were evaluated as objective criteria for pancreatic texture[19]. However, these parameters are not helpful for the preoperative prediction of POPF. Preoperative CR-POPF prediction using dependable parameters can assist in implementing intraoperative and postoperative measures to reduce CR-POPF-related morbidity. Hence, attempts have been made to correlate preoperative crosssectional imaging (CECT and MRI) with pancreatic texture[7-11,20]. Most studies evaluating PAI and PER on the CECT abdomen were retrospective, which precludes assessment and correlation of pancreatic neck fat fraction and fibrosis[7-11].

The children danced round the grave, and the eldest8 of the boys among them, a practical youngster of seven years, made the proposition that there should be an exhibition of Puggie s burial-place for all who lived in the lane; the price of admission was to be a trouser button, for every boy would be sure to have one, and each might also give one for a little girl

PAI

She cooked dinner for him once in June. He expected her to be proud of her ability to do everything from her seat in the wheelchair ?nbsp;and was faintly disappointed to see that she would not feel pride at what was, for her, simply a matter of course.13 He watched his own hand pick up the salt shaker14 and place it on one of the higher, unused cabinet shelves, then awaited her plea for assistance. He didn t know why he d done it, but the look in her eyes a moment later gave him a shock in his easy joy. He felt as though he were playing poker7 and he had just accidentally revealed his hand to the opponent.15 To make her forget what he d done, he told her about the little white bird in the park.

The PER showed good accuracy in predicting the development of CR-POPF and a PER ratio of 0.673 or below increased the likelihood of CR-POPF. The positive correlation of PER with fibrosis and negative correlation with PAI suggest that PER may be an objective surrogate for assessing pancreatic texture, especially in minimally invasive surgery, where pancreatic texture assessment could be challenging. ROI-based PAI has a poor prediction for CR-POPF and does not correlate with a pancreatic fat fraction or fibrosis scores. Preoperative quantification of PER can improve the risk stratification and management of patients at high risk of CR-POPF. A multi-center trial with a larger sample size is necessary to validate PAI and PER reliably.

PER

An increase in the fibrosis of the pancreas makes the gland firmer, decreasing the incidence of POPF. It is technically straightforward to perform a pancreatoenteric anastomosis on a firmer gland. Maehira

[9], in a retrospective analysis of 115 patients, reported that the pattern of pancreatic enhancement could be a reliable predictor for the development of CR-POPF. Also, Kang

[11] documented that PER cutoff of 1.100 might be a valuable predictor for the risk of developing a CR-POPF following PD. In the present study, the PER cut-off value of 0.661 had a sensitivity of 78% and a specificity of 55% in predicting CR-POPF. Also, PER had a positive correlation with pancreatic fibrosis. The main drawback of using PER as a predictor for CR-POPF is that the perfusion of organs with injected contrast depends upon the patient's hemodynamic status, influencing the final indices values, unlike PAI, which is independent of contrast.

Correlation between the CT indices and Histopathological analysis

With pancreatic fibrosis known for the protection of CR-POPF and pancreatic fatty infiltration being a concern, it is prudent that radiological indices be correlated with histopathological findings to determine their predictive accuracy. While multiple studies have evaluated different CT parameters, a few have tried to link with histology. However, no previous studies have looked at both contrast and non-contrast indices and their relationship with pancreatic neck fat fraction and fibrosis. The present study results are similar to the study by Hashimoto

[10], which reported a correlation between PER and pancreatic fibrosis. However, in contrast to the current study, bolus tracking was not used in their imaging protocol. Hence, the timing differences between the scan performance and arrival of injected contrast in the structures were not considered. Further, the iodine concentration of the contrast used could affect the magnitude of enhancement. Kang

[11] reported that the CT enhancement ratio was a more powerful predictor of pancreatic fistula than fecal elastase-1 Levels. However, in contrast to the current study, their study was a retrospective analysis, with no reference standards of the pathological fibrosis data to correlate with the CT enhancement ratios.

Our study did not show any correlation of PAI with pancreatic fat fraction. Kim

[12] reported a significant correlation between the PAI and histopathological fat fraction. However, the clinical parameter that was assessed was post PD glycemic control, unlike CR-POPF in our study. Though the study was able to show a positive correlation, it was a retrospective study, with a small sample size and lack of clarity on whether the histological fat fraction corresponded with the area of ROI. Hori

[23] have recently shown that area-based assessment on unenhanced CT showed higher correlation and concordance with histopathology-based fat fraction in the pancreas than the ROI-based CT attenuation assessment. A few studies have reported the usefulness of MRI for analyzing pancreatic fat content[20]. As MRI is not widely available and routinely used for preoperative workup of patients undergoing PD, its use as a predictor tool for CR-POPF has a limited application. The different CT attenuation and enhancement values reported in the present study could be due to the calculation of CT indices precisely at the pancreatic neck. In contrast, previous studies measured randomly across the pancreas.

Then she rushed off to the nearest spring, and swallowed that, and when she had finished all the springs and wells about she drank up first the river and then a lake

Limitations

Most of the available models to predict postoperative pancreatic fistula can be used only in the postoperative setting.

Nevertheless, identifying potential preoperative predictors for CR-POPF is a vital step in our journey to decrease the morbidity associated with PD. Our study failed to demonstrate any association of PAI with CR-POPF and postoperative fat fraction, which may be explained apart from the small sample size to the restrictive ROI. Area-based assessment for the pancreatic fat fraction in future studies may better correlate with histopathological fat fraction.

When he failed to find her he flew into a terrible rage, and hastened home to consult his books, by which means he discovered that it was his son who had deprived him of this precious treasure

CONCLUSlON

By one in the morning they were finished. Clark, who had bent20 his long torso forward to work, moved back over to the glider and looked out sleepily at nothing. All the lights were out across the ravine.

ARTlCLE HlGHLlGHTS

Research background

Postoperative pancreatic fistula is the critical cause of morbidity after pancreaticoduodenectomy.Identifying patients at risk of clinically relevant postoperative pancreatic fistula can potentially improve clinical outcomes after pancreaticoduodenectomy.

Research motivation

Our study is limited by a few factors that require attention. Firstly, the small sample size may not represent the entire patient cohort. A future study with a larger sample size is needed to determine PAI's predictability accurately. The reliable prediction of CR-POPF preoperatively is challenging in patients undergoing PD as it is a mix of a heterogeneous population of patients subjected to different heterogeneous surgical approaches. In PD, with various reconstructive options available and each Institute and each surgeon adopting a technique of their own choice, creating a standardized operative technique is nearly impossible. A homogenous population of patients and standardized uniform surgical techniques are prerequisites for any preoperative prediction models to show good predictive ability, both of which are difficult to achieve in the case of PD. The patient characteristics, the surgeon's expertise and surgical techniques are vital in deciding the risk of a patient developing CR-POPF. With all these factors coming into play, it is expected that accurate preoperative prediction of CR-POPF is not always possible. Even if some studies show a single or group of parameters as predictors for CR-POPF, external validation might not offer the same result because of the factors mentioned above.

Research objectives

As part of the routine evaluation, all patients underwent a pancreatic protocol CECT. Non-contrast and CECT of the abdomen and pelvis were performed using a 128 slice CT scanner (Somatom

Definition Edge, M/s Siemens, Erlangen, Germany). Intravenous iodinated contrast media Iohexol with 300mg Iodine concentration (Contrapaque

300, JB chemicals and pharmaceuticals limited, India) was administered at a dose of 1.5 mL/ kg body weight at the rate of 3-4 mL/s followed by 20 mL of the saline chase at 3 mL/s. A dual head pressure injector (Medrad

Stellant D pedestal-mount with Certegra

Workstation) was used for contrast injection. Scans were triggered using the Bolus tracking technique when the threshold of 150HU was reached in the upper abdominal aorta. Contrast-enhanced scans included late arterial phase at 30-40 sec from the start of contrast injection (12-15 sec after bolus tracking), portal venous phase at 60-70 sec (25-30 secs delay after the arterial phase) and equilibrium phase at 3 min from contrast injection. The plain and contrast-enhanced images were reconstructed at 3 mm thickness and viewed in a picture archiving and communication system workstation using Centricity

Universal Viewer Zero Footprint (GE, United States). On non-enhanced CT images, Hounsfield Units (HU) represents tissue density, while on contrast-enhanced CT images, it represents a measure of combination involving density and vascularity (18). Attenuation (HU) was measured in the neck of the pancreas and spleen, and attenuation values were calculated with regions of interest (ROI) of 0.2-0.3 cm

. The mean of 3 ROI values obtained in the neck region divided by splenic attenuation gave the PAI of the pancreatic neck (Figure 1). PER was calculated in the neck of the pancreas as (EP-Pre)/ (AP-Pre) (AP-arterial phase, pre-nonenhanced phase, EP-equilibrium phase)[11].

Research methods

Patients who underwent pancreaticoduodenectomy for benign and malignant pathology of the periampullary region or pancreatic head between February 2019 and February 2021 were included in the prospective observational study. The PAI was measured in the neck of the pancreas by marking regions of interest in the preoperative non-contrast computed tomography (CT), and the PER was measured during the contrast phase of the CT abdomen. Preoperative pancreatic neck CT indices were correlated with histopathological evaluation of Fibrosis score and the fat fraction of the pancreatic neck and clinically relevant postoperative pancreatic fistula.

Research results

The PAI had no significant association with the development of clinically relevant postoperative pancreatic fistula (CR-POPF). However, PER was significantly lower in patients developing CR-POPF (0.58 ± 0.20

0.81 ± 0.44,

= 0.006). Also, PER cut-off of 0.673 predicts CR-POPF with 77.8% sensitivity and 55.8% specificity. The PER showed a moderately positive correlation with fibrosis (Strength 0.50,

0.001).

Research conclusions

The study was reviewed and approved by the institutional ethics committee (Human studies) of Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India (JIP/IEC/2018/500 dated 25-01-2019). The study protocol can be fully accessed at https://jipmer.edu.in/.

Research perspectives

Quantifying PER on preoperative computed tomography can improve the risk stratification and management of patients at high risk of clinically relevant postoperative pancreatic fistula. Failure to demonstrate an association of PAI with clinically relevant postoperative pancreatic fistula and postoperative fat fraction suggests that area-based assessment for the pancreatic fat fraction may be better than the region of interest-based estimation.

FOOTNOTES

Gnanasekaran S and Kalayarasan R conceptualized the study; Durgesh S and Gurram R performed the research work; Rajeswari M performed the data analysis; Srinivas BH reviewed the histopathological slides for postoperative analysis; Ramesh A performed a preoperative radiological assessment of study participants; Durgesh S and Gurram R wrote the first draft of the manuscript; Gnanasekaran S, Kalayarasan R, Pottakkat B and Sahoo J gave intellectual input and critically revised the manuscript.

PER showed good accuracy in predicting CR-POPF. Also, PER showed a good correlation with fibrosis scores and may be used as an objective preoperative surrogate for assessing pancreatic texture.

All study participants, or their legal guardian, provided written consent prior to study enrolment.

But, it s sporting goods , I wheedled1（）. Could be some good deals for the grandkids. And, you like boats and fishing stuff. I ve put up with that photo of your dream-canoe stuck on the bathroom mirror for years now. Maybe you d enjoy just looking around?

All authors of this manuscript have no financial relationships to disclose.

No additional data are available.

The authors have read the CONSORT 2010 Statement, and the manuscript was prepared and revised according to the CONSORT 2010 Statement.

This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BYNC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is noncommercial. See: https://creativecommons.org/Licenses/by-nc/4.0/

India

Senthil Gnanasekaran 0000-0002-8639-5423; Satish Durgesh 0000-0001-8601-1576; Ramprakash Gurram 0000-0001-7106-2178; Raja Kalayarasan 0000-0003-4056-8672; Biju Pottakkat 0000-0002-8474-0270; M Rajeswari 0000-0003-1620-7359; BH Srinivas 0000-0002-9619-6719; A Ramesh 0000-0002-1404-6400; Jayaprakash Sahoo 0000-0002-8805-143X.

Indian chapter of International Hepatopancreatobiliary Association, 563; Indian Association of Surgical Gastroenterology, K-65; International Hepatopancreatobiliary association, M02056.

Wang LL

Filipodia

Wang LL

1 Greenblatt DY, Kelly KJ, Rajama nickam V, Wan Y, Hanson T, Rettammel R, Winslow ER, Cho CS, Weber SM. Preoperative factors predict perioperative morbidity and mortality after pancreaticoduodenectomy.

2011; 18: 2126-2135 [PMID: 21336514 DOI: 10.1245/s10434-011-1594-6]

2 Tzeng CW, Katz MH, Fleming JB, Lee JE, Pisters PW, Holmes HM, Varadhachary GR, Wolff RA, Abbruzzese JL, Vauthey JN, Aloia TA. Morbidity and mortality after pancreaticoduodenectomy in patients with borderline resectable type C clinical classification.

2014; 18: 146-55; discussion 155 [PMID: 24129825 DOI: 10.1007/s11605-013-2371-6]

3 Berger AC, Howard TJ, Kennedy EP, Sauter PK, Bower-Cherry M, Dutkevitch S, Hyslop T, Schmidt CM, Rosato EL, Lavu H, Nakeeb A, Pitt HA, Lillemoe KD, Yeo CJ. Does type of pancreaticojejunostomy after pancreaticoduodenectomy decrease rate of pancreatic fistula?

2009; 208: 738-47; discussion 747 [PMID: 19476827 DOI: 10.1016/j.jamcollsurg.2008.12.031]

4 Callery MP, Pratt WB, Kent TS, Chaikof EL, Vollmer CM Jr. A prospectively validated clinical risk score accurately predicts pancreatic fistula after pancreatoduodenectomy.

2013; 216: 1-14 [PMID: 23122535 DOI: 10.1016/j.jamcollsurg.2012.09.002]

5 Kantor O, Talamonti MS, Pitt HA, Vollmer CM, Riall TS, Hall BL, Wang CH, Baker MS. Using the NSQIP Pancreatic Demonstration Project to Derive a Modified Fistula Risk Score for Preoperative Risk Stratification in Patients Undergoing Pancreaticoduodenectomy.

2017; 224: 816-825 [PMID: 28408176 DOI: 10.1016/j.jamcollsurg.2017.01.054]

6 Liu Y, Li Y, Wang L, Peng CJ. Predictive value of drain pancreatic amylase concentration for postoperative pancreatic fistula on postoperative day 1 after pancreatic resection: An updated meta-analysis.

2018; 97: e12487 [PMID: 30235751 DOI: 10.1097/MD.0000000000012487]

7 Tranchart H, Gaujoux S, Rebours V, Vullierme MP, Dokmak S, Levy P, Couvelard A, Belghiti J, Sauvanet A. Preoperative CT scan helps to predict the occurrence of severe pancreatic fistula after pancreaticoduodenectomy.

2012; 256: 139-145 [PMID: 22609844 DOI: 10.1097/SLA.0b013e318256c32c]

8 Lim S, Bae JH, Chun EJ, Kim H, Kim SY, Kim KM, Choi SH, Park KS, Florez JC, Jang HC. Differences in pancreatic volume, fat content, and fat density measured by multidetector-row computed tomography according to the duration of diabetes.

2014; 51: 739-748 [PMID: 24671510 DOI: 10.1007/s00592-014-0581-3]

9 Maehira H, Iida H, Mori H, Kitamura N, Miyake T, Shimizu T, Tani M. Computed Tomography Enhancement Pattern of the Pancreatic Parenchyma Predicts Postoperative Pancreatic Fistula After Pancreaticoduodenectomy.

2019; 48: 209-215 [PMID: 30589830 DOI: 10.1097/MPA.0000000000001229]

10 Hashimoto Y, Sclabas GM, Takahashi N, Kirihara Y, Smyrk TC, Huebner M, Farnell MB. Dual-phase computed tomography for assessment of pancreatic fibrosis and anastomotic failure risk following pancreatoduodenectomy.

2011; 15: 2193-2204 [PMID: 21948179 DOI: 10.1007/s11605-011-1687-3]

11 Kang JH, Park JS, Yu JS, Chung JJ, Kim JH, Cho ES, Yoon DS. Prediction of pancreatic fistula after pancreatoduodenectomy by preoperative dynamic CT and fecal elastase-1 Levels.

2017; 12: e0177052 [PMID: 28493949 DOI: 10.1371/journal.pone.0177052]

12 Kim SY, Kim H, Cho JY, Lim S, Cha K, Lee KH, Kim YH, Kim JH, Yoon YS, Han HS, Kang HS. Quantitative assessment of pancreatic fat by using unenhanced CT: pathologic correlation and clinical implications.

2014; 271: 104-112 [PMID: 24475851 DOI: 10.1148/radiol.13122883]

13 Kl?ppel G, Maillet B. Pseudocysts in chronic pancreatitis: a morphological analysis of 57 resection specimens and 9 autopsy pancreata.

1991; 6: 266-274 [PMID: 1862065]

14 Bassi C, Marchegiani G, Dervenis C, Sarr M, Abu Hilal M, Adham M, Allen P, Andersson R, Asbun HJ, Besselink MG, Conlon K, Del Chiaro M, Falconi M, Fernandez-Cruz L, Fernandez-Del Castillo C, Fingerhut A, Friess H, Gouma DJ, Hackert T, Izbicki J, Lillemoe KD, Neoptolemos JP, Olah A, Schulick R, Shrikhande SV, Takada T, Takaori K, Traverso W, Vollmer CR, Wolfgang CL, Yeo CJ, Salvia R, Buchler M; International Study Group on Pancreatic Surgery (ISGPS). The 2016 update of the International Study Group (ISGPS) definition and grading of postoperative pancreatic fistula: 11 Years After.

2017; 161: 584-591 [PMID: 28040257 DOI: 10.1016/j.surg.2016.11.014]

15 Wente MN, Bassi C, Dervenis C, Fingerhut A, Gouma DJ, Izbicki JR, Neoptolemos JP, Padbury RT, Sarr MG, Traverso LW, Yeo CJ, Büchler MW. Delayed gastric emptying (DGE) after pancreatic surgery: a suggested definition by the International Study Group of Pancreatic Surgery (ISGPS).

2007; 142: 761-768 [PMID: 17981197 DOI: 10.1016/j.surg.2007.05.005]

16 Wente MN, Veit JA, Bassi C, Dervenis C, Fingerhut A, Gouma DJ, Izbicki JR, Neoptolemos JP, Padbury RT, Sarr MG, Yeo CJ, Büchler MW. Postpancreatectomy hemorrhage (PPH): an International Study Group of Pancreatic Surgery (ISGPS) definition.

2007; 142: 20-25 [PMID: 17629996 DOI: 10.1016/j.surg.2007.02.001]

17 Lin JW, Cameron JL, Yeo CJ, Riall TS, Lillemoe KD. Risk factors and outcomes in postpancreaticoduodenectomy pancreaticocutaneous fistula.

2004; 8: 951-959 [PMID: 15585382 DOI: 10.1016/j.gassur.2004.09.044]

18 Hu BY, Wan T, Zhang WZ, Dong JH. Risk factors for postoperative pancreatic fistula: Analysis of 539 successive cases of pancreaticoduodenectomy.

2016; 22: 7797-7805 [PMID: 27678363 DOI: 10.3748/wjg.v22.i34.7797]

19 Laaninen M, Bl?uer M, Vasama K, Jin H, R?ty S, Sand J, Nordback I, Laukkarinen J. The risk for immediate postoperative complications after pancreaticoduodenectomy is increased by high frequency of acinar cells and decreased by prevalent fibrosis of the cut edge of pancreas.

2012; 41: 957-961 [PMID: 22699198 DOI: 10.1097/MPA.0b013e3182480b81]

20 Kim Z, Kim MJ, Kim JH, Jin SY, Kim YB, Seo D, Choi D, Hur KY, Kim JJ, Lee MH, Moon C. Prediction of postoperative pancreatic fistula in pancreaticoduodenectomy patients using pre-operative MRI: a pilot study.

2009; 11: 215-221 [PMID: 19590650 DOI: 10.1111/j.1477-2574.2009.00011.x]

21 Adal? G, Bozkurt B, Ceyhan ?, Server S, Do?usoy GB, Yüzer Y, Tokat Y. Body Mass Index and Unenhanced CT as a Predictor of Hepatic Steatosis in Potential Liver Donors.

2019; 51: 2373-2378 [PMID: 31402250 DOI: 10.1016/j.transproceed.2019.02.047]

22 Yardimci S, Kara YB, Tuney D, Attaallah W, Ugurlu MU, Dulundu E, Yegen ?C. A Simple Method to Evaluate Whether Pancreas Texture Can Be Used to Predict Pancreatic Fistula Risk After Pancreatoduodenectomy.

2015; 19: 1625-1631 [PMID: 25982120 DOI: 10.1007/s11605-015-2855-7]

23 Hori M, Onaya H, Hiraoka N, Yamaji T, Kobayashi H, Takahashi M, Mutoh M, Shimada K, Nakagama H. Evaluation of the degree of pancreatic fatty infiltration by area-based assessment of CT images: comparison with histopathology-based and CT attenuation index-based assessments.

2016; 34: 667-676 [PMID: 27581428 DOI: 10.1007/s11604-016-0572-0]