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Lymph node size and its association with nodal metastasis in ductal adenocarcinoma of the pancreas
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Original Article
Lymph node size and its association with nodal metastasis in ductal adenocarcinoma of the pancreas
Jaehoon Shin1orcid, Seungbeom Shin2orcid, Jae Hoon Lee3orcid, Ki Byung Song3orcid, Dae Wook Hwang3orcid, Hyoung Jung Kim4orcid, Jae Ho Byun4orcid, HyungJun Cho2orcid, Song Cheol Kim3orcid, Seung-Mo Hong,1orcid
Journal of Pathology and Translational Medicine 2020;54(5):387-395.
DOI: https://doi.org/10.4132/jptm.2020.06.23
Published online: July 21, 2020

1Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea

2Department of Statistics, Korea University, Seoul, Korea

3Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea

4Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea

Corresponding Author: Seung-Mo Hong, MD, PhD, Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Korea Tel: +82-2-3010-4558, Fax: +82-2-472-7898, E-mail: 'smhong28@gmail.com'
• Received: April 28, 2020   • Revised: June 16, 2020   • Accepted: June 22, 2020

© 2020 The Korean Society of Pathologists/The Korean Society for Cytopathology

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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  • Background
    Although lymph node metastasis is a poor prognostic factor in patients with pancreatic ductal adenocarcinoma (PDAC), our understanding of lymph node size in association with PDAC is limited. Increased nodal size in preoperative imaging has been used to detect node metastasis. We evaluated whether lymph node size can be used as a surrogate preoperative marker of lymph node metastasis.
  • Methods
    We assessed nodal size and compared it to the nodal metastatic status of 200 patients with surgically resected PDAC. The size of all lymph nodes and metastatic nodal foci were measured along the long and short axis, and the relationships between nodal size and metastatic status were compared at six cutoff points.
  • Results
    A total of 4,525 lymph nodes were examined, 9.1% of which were metastatic. The mean size of the metastatic nodes (long axis, 6.9±5.0 mm; short axis, 4.3±3.1 mm) was significantly larger than that of the non-metastatic nodes (long axis, 5.0±4.0 mm; short axis, 3.0±2.0 mm; all p<.001). Using a 10 mm cutoff, the sensitivity, specificity, positive predictive value, overall accuracy, and area under curve was 24.8%, 88.0%, 17.1%, 82.3%, and 0.60 for the long axis and 7.0%, 99.0%, 40.3%, 90.6%, and 0.61 for the short axis, respectively.
  • Conclusions
    The metastatic nodes are larger than the non-metastatic nodes in PDAC patients. However, the difference in nodal size was too small to be identified with preoperative imaging. The performance of preoperative radiologic imaging to predict lymph nodal metastasis was not good. Therefore, nodal size cannot be used a surrogate preoperative marker of lymph node metastasis.
Pancreatic cancer, the most common subtype of which is pancreatic ductal adenocarcinoma (PDAC), is the leading cause of cancer-related death in the United States and Korea [1-3]. In 2017, an estimated 448,000 people were diagnosed with PDAC and 441,000 people died from the disease worldwide. Only 10% of patients with PDAC are in an early stage of disease at the time of diagnosis [3]. Most patients with PDAC are diagnosed with advanced stage disease with regional extension and distant metastasis at the time of diagnosis. Therefore, most patients are not eligible for surgical resection [4].
Lymph node metastasis is a poor prognostic factor in patients with PDAC [5-8]. Nodal status and quantity are important, and nodal (N) staging is classified based on the number of metastatic lymph nodes, as N0 (0), N1 (1–3), and N2 (≥4), in the 8th edition of the American Joint Committee on Cancer [9]. Several other aspects of lymph node metastasis, including the lymph node ratio, are strong prognostic indicators [10]. A minimum of 12 lymph nodes should be examined to properly evaluate the N0 category [11,12].
Imaging is important for the preoperative staging of PDACs. Lymph nodes with a short axis ≥1 cm or an abnormal shape, including a round contour, irregular margin, and hypodense or heterogeneous density, are suspicious for metastasis [9]. However, it is difficult to assess metastatic lymph nodes by imaging such as computed tomography (CT) or magnetic resonance imaging (MRI), as the nodes may be enlarged due to metastasis or reactive hyperplasia from known or unknown stimuli [13]. Enlarged peripancreatic lymph nodes may indicate nodal metastasis during surgical resection of the PDAC. The surgeon may sample the enlarged lymph node for intraoperative pathologic consultation with frozen sectioning.
Previous research compared lymph node size based on metastatic status and concluded that lymph node size was not a good indicator for metastatic involvement [14-21]. However, the number of cases included in these studies was too small to make a solid conclusion. Therefore, a validation study is required. To evaluate whether lymph node size can be used as a surrogate preoperative marker of lymph node metastasis, we systematically assessed lymph node size based on nodal metastasis in 200 surgically resected PDACs.
Case selection
A total of 223 consecutive surgically resected PDAC cases from December of 2013 to December of 2014 were selected from a pathology archive. PDAC was the only pancreatic cancer included because it made up most of the surgically resected pancreatic cancer cases. Other histologic subtypes, such as adenosquamous, colloid, medullary, undifferentiated carcinomas, undifferentiated carcinomas with osteoclast-like giant cells, and squamous cell carcinomas, were not present. Fifteen PDACs arising from intraductal papillary mucinous neoplasm and one double primary cancer with concurrent pancreatic duodenal cancer were excluded. In addition, seven patients who had preoperative chemo-radiation therapy were also excluded. Finally, a total of 200 PDAC cases, including 133 pancreaticoduodenectomy, 58 distal pancreatectomy, and nine total pancreatectomy cases, were selected, and all cases had lymph node dissection. A flow chart illustrating the inclusion and exclusion criteria is depicted in Fig. 1. Clinical characteristics such as age and sex of the patient, tumor location, operation type, follow-up data, survival data, and recurrence and metastasis data were obtained from the electronic medical records. Pathologic data were evaluated, i.e., tumor size, invasion into the extrahepatic bile duct, duodenum, and spleen, histologic tumor grade, lymphovascular and perineural invasion, invasion of the large vessel, including splenic, portal, or superior mesenteric veins, the cancer resection margin, and pT and pN categories. The pT and pN categories were determined based on the 8th edition of the American Joint Committee on Cancer cancer staging system [9].
Radiologic evaluation of suspicious metastatic lymph nodes
Lymph nodes suspicious for metastasis were defined as those having a short axis more than 10 mm or an abnormal shape, including a round contour with an irregular margin or hypodense or heterogeneous density [22].
Histopathological evaluation of lymph nodes
Lymph nodes were meticulously retrieved during gross examination. Small lymph nodes were submitted as a single piece, while large lymph nodes were bisected [23]. Six cases were randomly selected to evaluate the shrinkage effect during the overnight fixation procedure with 10% neutral buffered formalin. The size of 85 lymph nodes was measured at the time of gross examination (before fixation) and on the formalin-fixed paraffin-embedded (FFPE) tissue blocks (after fixation). The size of the lymph nodes both in the long and short axes on hematoxylin and eosin (H&E) slides was measured. Representative gross (before and after fixation) and microscopic images of lymph node are depicted in Fig. 2.
All H&E stained slides were carefully reviewed by two pathologists (J.S. and S.M.H.). The total examined and metastatic lymph nodes were counted. Since most pathologic examinations measure and use the largest dimension, the dimension of the long axis of each lymph node (in mm) was measured with a ruler and recorded, regardless of metastatic status. In addition, the dimension of the short axis of each lymph node was also measured, because measurement of the short axis of lymph nodes has been used in preoperative radiologic evaluation [22]. The largest dimension of each metastatic foci was measured and recorded. The lymph node size distribution and the relationship between lymph node size and metastatic status were evaluated.
Statistical analysis
Statistical analyses were performed with IBM SPSS Statistics for Windows, ver. 20.0 (IBM Corp., Armonk, NY, USA) and R project ver. 3.6.1. Categorical variables were compared by the Pearson chi-square and Fisher exact tests. Continuous variables were compared by the independent Student’s t-test and Wilcoxon signed-rank test. A p-value less than .05 was considered statistically significant. We used a logistic regression model to predict the probability of lymph node metastasis. Receiver operating characteristic (ROC) curves were generated to calculate the area under the curve (AUC), which measures the predictive power of lymph node size for estimating metastasis by preoperative imaging modalities.
Case characteristics
The clinicopathologic characteristics of the patients are summarized in Table 1. The mean patient age was 62.1±10.0 years (range, 35 to 82 years), and 113 were male and 87 were female. The mean tumor size was 33±13 mm (range, 6 to 88 mm). Approximately two-thirds (113) of the cases were classified as T2 (66.5%), 22 cases (11%) were T1, 37 cases (18.5%) were T3, and eight cases (4%) were classified as T4. Lymphovascular and perineural invasion occurred in 149 (74.5%) and 181 (90.5%) cases, respectively. Lymph node metastasis was observed in 124 (62%) cases. Of the cases with nodal metastasis, 85 were N1 cases (42.5%) and 39 were N2 cases (19.5%). The median follow-up period was 20 months (range, 1 to 71 months), and 161 of 200 patients died during this period.
Comparison of lymph node size before and after fixation
The mean long axis nodal sizes of 85 lymph nodes from six randomly selected cases before and after the fixation procedure were 6.9±4.5 mm (range, 2 to 19 mm) and 6.5±3.9 mm (range, 2 to 17 mm), respectively. There was a significant decrease in lymph node size after fixation (Wilcoxon signed-rank test, p<.001). The calculated shrinkage effect (mean, 0.47±0.75; 95% confidence interval [CI], 0.31 to 0.63) after fixation was 6.8%. There were 14 metastatic (16%) and 71 were non-metastatic (84%) lymph nodes. The mean sizes of metastatic nodes along the long axis before and after fixation were 8.7±5.2 mm and 8.1±4.8 mm, respectively. The mean sizes of non-metastatic nodes along the long axis before and after fixation were 6.6±4.3 mm and 6.1±3.7 mm, respectively. No significant differences in the shrinkage effect were observed between the metastatic and non-metastatic lymph node groups (p=.585).
The mean short axis nodal sizes before and after the fixation procedure were 4.2±2.6 mm (range, 1 to 15 mm) and 3.9±2.2 mm (range, 1 to 13.5 mm), respectively. There was a significant decrease in lymph node size after fixation (Wilcoxon signed-rank test, p<.001). The calculated shrinkage effect (mean, 0.33±0.49; 95% CI, 0.22 to 0.44) after fixation was 7.9%. The mean sizes of metastatic nodes along the short axis before and after fixation were 5.4±3.6 mm and 4.9±3.1 mm, respectively. The mean sizes of non-metastatic nodes along the short axis before and after fixation were 4.0±2.4 mm and 3.7±2.0 mm, respectively. No significant differences in the shrinkage effect were observed between the metastatic and non-metastatic lymph node groups (p=.156).
Association of lymph node metastasis and other clinicopathologic factors
The associations between lymph node metastasis and other clinicopathologic factors are summarized in Table 1. Lymph node metastasis was associated with large tumor size (p=.015), invasion into large vessels, including the splenic, portal, and/or superior mesenteric veins (p=.007), involvement of the resection margin (p=.027), high T categories (p=.008), and lymphovascular invasion (p<.001).
Comparison of lymph node size based on metastatic status
A total of 4,525 lymph nodes were evaluated in this study; 412 (9.1%) had metastatic foci, while 4,113 (90.9%) had no metastasis. The mean number of examined lymph nodes was 22.6±11.9 per case (Fig. 3). The mean number of metastatic lymph nodes was 2.1±2.6 per case (Fig. 4). The mean sizes of the long and short axes of all lymph nodes were 5.2±4.1 mm and 3.1±2.2 mm, respectively. The mean size of the long axis of the 412 metastatic lymph nodes (6.9±5.0 mm) was significantly larger than that of the non-metastatic lymph nodes (5.0±4.0 mm, p<.001). Similarly, the mean size of the short axis of the metastatic lymph nodes (4.3±3.1 mm) was significantly larger than that of the non-metastatic lymph nodes (3.0±2.0 mm, p<.001).
As imaging modalities can detect lymph nodes with a diameter of more than 10 mm of the short axis, we compared the size of the largest lymph node from each case. The mean size of the largest lymph nodes measured along the long axis from 200 individual cases was 14.7±5.8 mm. The mean size of the largest lymph node from 124 patients with nodal metastasis (15.6±5.7 mm) was significantly larger than that from 76 patients without metastasis (13.3±5.8 mm, p=.009). There were 595 lymph nodes with a diameter greater 10 mm, 102 of which exhibited metastatic foci (17.1%).
Preoperative estimation of lymph node metastasis by imaging modalities based on each case
Preoperative radiologic estimation of lymph node metastasis by preoperative CT or MRI imaging was compared with metastatic status by histopathologic evaluation in 200 cases. The sensitivity and specificity of preoperative radiologic estimation of metastasis was 56.5% (70/124 cases) and 89.5% (68/76 cases), respectively. The positive predictive value (PPV) and negative predictive value (NPV) of the estimation of lymph node metastasis was 89.7% (70/78 cases) and 55.7% (68/122 cases), respectively, based on preoperative radiologic imaging.
Sensitivity, specificity, PPV, NPV, and overall accuracy of nodal metastasis with different cutoffs based on the number of examined lymph nodes
We then compared the metastatic status of lymph nodes at six different cutoff points, including 6, 8, 10, 12, 15, and 20 mm, based on lymph node size measured along the long axis after fixation. The sensitivity, specificity, PPV, and NPV at each cutoff point for all 4,525 evaluated lymph nodes are summarized in Table 2. At the cutoff point of 10 mm, the sensitivity was 24.8% (102/412 lymph nodes), specificity was 88.0% (3,620/4,113), PPV was 17.1% (102/595), NPV was 92.1% (3,620/3,930), and overall accuracy was 82.3% (3,722/4,525).
We also compared the metastatic status of lymph nodes at six different cutoff points, including 4, 6, 8, 10, 12, and 14 mm, based on lymph nodes measured along the short axis after fixation. The sensitivity, specificity, PPV, and NPV at each cutoff point for all 4,525 evaluated lymph nodes are summarized in Table 3. At the cutoff point of 10 mm, the sensitivity was 7.0% (29/412 lymph nodes), specificity was 99.0% (4,070/4,113), PPV was 40.3% (29/72), NPV was 91.4% (4,070/4,453), and overall accuracy was 90.6% (4,099/4,525).
Predicted probability of lymph node metastasis based on logistic regression and analysis of ROC
The predicted probability of node metastasis according to lymph node size was assessed by logistic regression analysis. As lymph node size measured along the long axis increased by 1 mm, the odds of node metastasis increased by 1.09-fold. When the long axis size of lymph nodes was more than 10 mm, the predicted probability of nodal metastasis was 12.5%. Fig. 5 demonstrates the ROC curves of six cutoff points for discriminating metastatic lymph nodes from non-metastatic ones measured along the long axis. The AUC value of the ROC curve at the 10 mm cutoff was the largest (0.603; 95% CI, 0.522 to 0.684).
Similarly, as lymph node size measured along the short axis increased by 1 mm, the odds of node metastasis increased by 1.24-fold. When the short axis size of lymph nodes was more than 10 mm, the predicted probability of nodal metastasis was 32.0%. Fig. 6 demonstrates the ROC curves of six cutoff points for discriminating metastatic lymph nodes from non-metastatic ones measured along the short axis. The AUC value of the ROC curve at the 10 mm cutoff was the largest (0.610; 95% CI, 0.516 to 0.705).
Lymph node metastasis is a poor prognostic factor in patients with PDAC [5-8,12]. To better understand the relationship between lymph node size and metastases, we comprehensively evaluated all harvested lymph nodes by measuring the size along the long and short axes and compared the lymph node size and metastasis. The AUC was 0.61 and 0.60 when nodal size was measured along the short and long axis, respectively, at the cutoff points of 10 mm. These results indicate that the performance of preoperative radiologic imaging to predict lymph nodal metastasis is not good.
We observed that when cancer cells metastasized to lymph nodes, the nodal size was significantly larger than that of nonmetastatic lymph nodes. However, the mean size difference measured along the long axis between metastatic (6.9 mm) and nonmetastatic (5.0 mm) lymph nodes was only 1.9 mm. Similarly, the mean size difference measured along the short axis between metastatic (4.3 mm) and non-metastatic (3.0 mm) lymph nodes was only 1.3 mm. Traditionally, lymph nodes with a diameter of more than 10 mm measured along the short axis have been radiologically considered as metastatic lymph nodes. When we compared the largest lymph nodes from each case, the mean difference in size measured along the long axis between metastatic (15.6 mm) and non-metastatic (13.3 mm) nodes was only 2.3 mm. When largest lymph nodes from each case were compared, the mean difference in size measured along the short axis between metastatic (8.8 mm) and non-metastatic (7.6 mm) nodes was only 1.2 mm. This difference may not be enough to discriminate metastatic lymph nodes from non-metastatic ones on preoperative imaging modalities or during surgery.
We evaluated 4,525 lymph nodes and compared node size and metastatic status to determine how to best discriminate between metastatic and non-metastatic lymph nodes. The sensitivity, specificity, PPV, and NPV in the present study was 25%, 88%, 17%, and 92%, respectively, at the 10 mm cutoff point measured along the long axis. The sensitivity, specificity, PPV, and NPV was 7%, 99%, 40%, and 91%, respectively, at the 10 mm cutoff point measured along the short axis. Previous studies compared lymph node size and metastatic status using a small number of lymph nodes. The results of our study and previous reports are summarized in Table 4. The sensitivity and specificity in our study were comparable with those of previous research (sensitivity, 14%–37%; specificity, 60%–92%) [15-21]. Megibow et al. [16] included large number of examined cases (n=95), and the sensitivity, specificity, PPV, and NPV of their study was 37%, 60%, 47%, and 56%, respectively. The PPV was slightly lower but the NPV was higher in our study, possibly because we included a large number of lymph nodes. Our study had 91% accuracy rate measured along the short axis in estimating nodal metastasis at a 10 mm cutoff point.
In contrast to previous work, we compared the sensitivity, specificity, accuracy, PPV, and NPV of lymph node size to estimate metastasis at several different cutoff points measured along both the long and short axis. Recent technical advances in multi-detector CT scanning allows for reconstructed images at a resolution of 2–5 mm thickness [22]. We were able to best discriminate between metastatic and non-metastatic lymph nodes from ROC analyses with a 10 mm cutoff for the short axis diameter. The PPV of estimating metastatic lymph nodes was 40% based on the ROC analyses.
In our study, the shrinkage effect after FFPE fixation was 6.8%. This suggests that if the long axis of a lymph node is 10 mm after FFPE tissue, this is equivalent to it being 10.7 mm on imaging modalities. The shrinkage effect of lymph nodes (6.8% and 7.9% along the long and short axis, respectively) in the present study was larger than that of kidney and uterine cervix tissues, but smaller than that of other organs in previous studies [24]. The shrinkage effect after FFPE varied between 2.7% to 20%, depending on the organ [24]. One previous study reported that the shrinkage effect of lymph node was 10% when tested with 5% formaldehyde [14].
We measured lymph nodes along the long and short axis regardless of other aspects of metastatic lymph nodes. Some studies measured the short-axis diameter only and used 10 mm as the benchmark to diagnose metastasis [16-21], while other studies used specifically selected cutoff points, including 5 mm, 15 mm, or 20 mm, for diagnosis. We measured lymph node size the same way as the previous studies by measuring the short-axis diameter and compared size and metastasis at selected cutoff points. In addition, we also measured lymph node size along the long axis, since all pathologic fields use the largest dimension of tumor size. The metastatic lymph nodes were best distinguished from nonmetastatic nodes at the cutoff point 10 mm regardless of measuring either long or short axis. However, the performance was not good enough. Therefore, preoperative radiologic evaluation of metastatic lymph nodes may not be dependable.
In summary, metastatic PDAC lymph nodes are larger than non-metastatic ones. Although the metastatic lymph nodes were best distinguished from non-metastatic nodes at the cutoff point 10 mm regardless of measuring either long or short axis, the performance was not good enough. Therefore, nodal size cannot be used a surrogate preoperative marker of lymph node metastasis.

Ethics Statement

Institutional Review Board approval with patient consent waiver was obtained (approval number: 2020-0440).

Author contributions

Conceptualization: JS, SMH. Data curation: JS. Formal analysis: JS, SS, HC. Funding acquisition: SMH. Investigation: JS, JHL, KBS, DWH. Methodology: HJK, JHB, SCK, SMH. Supervision: SMH. Validation: JS, SS. Writing—original draft: JS, SS, SMH. Writing—review & editing: JS, SS, HC, SMH. Approval of final manuscript: all authors.

Conflicts of Interest

The authors declare that they have no potential conflicts of interest.

Funding Statement

This work was supported by the National Research Foundation of Korea (NRF) and funded by the Ministry of Science, ICT, and Future Planning (SMH, NRF-2019R1H1A2102016).

Fig. 1.
Flow chart for patient selection. PDAC, pancreatic ductal adenocarcinoma; IPMN, intraductal papillary mucinous neoplasm.
jptm-2020-06-23f1.jpg
Fig. 2.
Representative gross (before and after fixation) and microscopic images of evaluated lymph nodes. Gross images of lymph node before (A) and after (B) fixation. (C) Image of lymph node in formalin fixed paraffin embedded tissue block. (D) Microscopic image on H&E stained slides of lymph node.
jptm-2020-06-23f2.jpg
Fig. 3.
Examined lymph node distribution, per case.
jptm-2020-06-23f3.jpg
Fig. 4.
Metastatic lymph node distribution, per case.
jptm-2020-06-23f4.jpg
Fig. 5.
Receiver operating characteristics (ROC) curves of the estimated lymph node metastasis at six different cutoff points (6, 8, 10, 12, 15, and 20 mm) by measurement along the long axis diameter. (A) ROC curves of estimated lymph node metastasis at cutoff points of 6, 8, and 10 mm. (B) ROC curves of estimated lymph node metastasis at cutoff points of 12, 15, and 20 mm. The largest area under the curve (AUC) value of the ROC curve was 0.603 at the 10 mm cutoff point.
jptm-2020-06-23f5.jpg
Fig. 6.
Receiver operating characteristics (ROC) curves of the estimated lymph node metastasis at 6 different cutoff points of (4, 6, 8, 10, 12, and 14 mm) by measurement along the short axis diameter. (A) ROC curves of estimated lymph node metastasis at cutoff points of 4, 6, and 8 mm. (B) ROC curves of estimated lymph node metastasis at cutoff points of 10, 12, and 14 mm. The largest area under the curve (AUC) value of the ROC curve was 0.610 at the 10 mm cutoff point.
jptm-2020-06-23f6.jpg
Table 1.
The clinicopathologic characteristics of 200 patients with surgically resected PDAC based on nodal metastasis status
Characteristic Without lymph node metastasis With lymph node metastasis p-value
No. of patients 76 124
Age (yr) 62.7 ± 1.1 (43–81) 61.8 ± 0.9 (35–82) .544
Sex .986
 Male 43 (56.6) 70 (56.5)
 Female 33 (43.4) 54 (43.5)
Peripancreatic soft tissue invasion 71 (93.4) 122 (98.4) .107
Common bile duct invasion 32 (42.1) 67 (54.0) .102
Duodenum invasion 27 (35.5) 57 (46.0) .146
Large vessel invasion .007
 Absent 65 (85.5) 85 (68.5)
 Present 11 (14.5) 39 (31.5)
Surgical margin status .027
 Free 57 (75.0) 74 (59.7)
 Involved 19 (25.0) 50 (40.3)
Tumor size (cm) 3.0 ± 0.1 (0.6–7.0) 3.4 ± 0.1 (1.3–8.8) .015
Tumor location .338
 Head/uncinate/neck 49 (64.5) 81 (65.3)
 Body/tail 23 (30.3) 30 (24.2)
 Diffuse or multifocal 4 (5.3) 13 (10.5)
T category .008
 pT1 13 (17.1) 9 (7.3)
 pT2 53 (69.7) 80 (64.5)
 pT3 10 (13.2) 27 (21.8)
 pT4 0 8 (6.5)
Histologic grade .188
 Well differentiated 5 (6.6) 2 (1.6)
 Moderately differentiated 60 (78.9) 102 (82.3)
 Poorly differentiated 11 (14.5) 20 (16.1)
Lymphovascular invasion < .001
 Absent 34 (44.7) 17 (13.7)
 Present 42 (55.3) 107 (86.3)
Perineural invasion .167
 Absent 10 (13.2) 9 (7.3)
 Present 66 (86.8) 115 (92.7)

Values are presented as number (%) or mean ± SD (range).

PDAC, pancreatic ductal adenocarcinoma; SD, standard deviation.

Table 2.
The sensitivity, specificity, PPV, NPV, and accuracy of six different cutoff points for detecting metastasis by the long axis size of lymph nodes from 200 PDAC cases based on the number of examined lymph nodes
Cutoff point (mm) Sensitivity Specificity PPV NPV Accuracy
6 200/412 (48.5) 2,780/4,113 (67.6) 200/1,533 (13.0) 2,780/2,992 (92.9) 2,980/4,525 (65.9)
8 140/412 (34.0) 3,332/4,113 (81.0) 140/921 (15.2) 3,332/3,604 (92.5) 3,472/4,525 (76.7)
10 102/412 (24.8) 3,620/4,113 (88.0) 102/595 (17.1) 3,620/3,930 (92.1) 3,722/4,525 (82.3)
12 62/412 (15.0) 3,809/4,113 (92.6) 62/366 (16.9) 3,809/4,159 (91.6) 3,871/4,525 (85.5)
15 27/412 (6.6) 3,952/4,113 (96.1) 27/188 (14.4) 3,952/4,337 (91.1) 3,979/4,525 (87.9)
20 13/412 (3.2) 4,075/4,113 (99.1) 13/51 (25.5) 4,075/4,474 (91.1) 4,088/4,525 (90.3)

Values are presented as number (%).

PPV, positive predictive value; NPV, negative predictive value; PDAC, pancreatic ductal adenocarcinoma.

Table 3.
The sensitivity, specificity, PPV, NPV, and accuracy of six different cutoff points for detecting metastasis by the short axis size of lymph nodes from 200 PDAC cases based on the number of examined lymph nodes
Cutoff point (mm) Sensitivity Specificity PPV NPV Accuracy
4 187/412 (45.4) 2,980/4,113 (72.5) 187/1,320 (14.2) 2,980/3,205 (93.0) 3,167/4,525 (70.0)
6 101/412 (24.5) 3,643/4,113 (88.6) 101/571 (17.7) 3,643/3,954 (92.1) 3,744/4,525 (82.7)
8 52/412 (12.6) 3,929/4,113 (95.5) 52/236 (22.0) 3,929/4,289 (91.6) 3,981/4,525 (88.0)
10 29/412 (7.0) 4,070/4,113 (99.0) 29/72 (40.3) 4,070/4,453 (91.4) 4,099/4,525 (90.6)
12 14/412 (3.4) 4,097/4,113 (99.6) 14/30 (46.7) 4,097/4,495 (91.1) 4,111/4,525 (90.9)
14 8/412 (1.9) 4,112/4,113 (99.9) 8/9 (88.9) 4,112/4,516 (91.1) 4,120/4,525 (91.0)

Values are presented as number (%).

PPV, positive predictive value; NPV, negative predictive value; PDAC, pancreatic ductal adenocarcinoma.

Table 4.
Sensitivity, specificity, PPV, NPV, and accuracy of previous studies and the present study
Study No. of patients No. of lymph nodes Measured axis Cut off point (mm) Sensitivity (%) Specificity (%) PPV (%) NPV (%) Accuracy (%)
Rosch et al. [21] 40 NA Short 10 36 80 7 42 NA
Palazzo et al. [19] 38 NA Short 10 19 92 83 34 42
Muller et al. [17] 22 NA Short 10 20 75 NA NA 50
Megibow et al. [16] 95 NA Short 10–15 37 60 47 56 53
Zeman et al. [20] 26 NA Short 10 NA NA NA NA 58
Midwinter et al. [18] 23 NA Short 10 33 86 60 67 NA
Roche et al. [15] 9 40 Short 10 14 85 17 8 72.5
Our study 200 4,525 Short and long 10 7 99 40 91 91

PPV, positive predictive value; NPV, negative predictive value; NA, not applicable.

  • 1. Roth MT, Berlin JD. Current concepts in the treatment of resectable pancreatic cancer. Curr Oncol Rep 2018; 20: 39.ArticlePubMedPDF
  • 2. Jung KW, Won YJ, Kong HJ, Lee ES. Prediction of cancer incidence and mortality in Korea, 2018. Cancer Res Treat 2018; 50: 317–23. ArticlePubMedPMCPDF
  • 3. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2019. CA Cancer J Clin 2019; 69: 7–34. ArticlePubMed
  • 4. Hernandez JM, Morton CA, Al-Saadi S, et al. The natural history of resected pancreatic cancer without adjuvant chemotherapy. Am Surg 2010; 76: 480–5. ArticlePubMed
  • 5. Lowder CY, Metkus J, Epstein J, et al. Clinical implications of extensive lymph node metastases for resected pancreatic cancer. Ann Surg Oncol 2018; 25: 4004–11. ArticlePubMedPDF
  • 6. Allen PJ, Kuk D, Castillo CF, et al. Multi-institutional validation study of the American Joint Commission on Cancer (8th Edition) changes for T and N staging in patients with pancreatic adenocarcinoma. Ann Surg 2017; 265: 185–91. ArticlePubMedPMC
  • 7. Konstantinidis IT, Deshpande V, Zheng H, et al. Does the mechanism of lymph node invasion affect survival in patients with pancreatic ductal adenocarcinoma? J Gastrointest Surg 2010; 14: 261–7. ArticlePubMedPDF
  • 8. Murakami Y, Uemura K, Sudo T, et al. Number of metastatic lymph nodes, but not lymph node ratio, is an independent prognostic factor after resection of pancreatic carcinoma. J Am Coll Surg 2010; 211: 196–204. ArticlePubMed
  • 9. Amin MB, Edge SB, Greene FL, et al. AJCC cancer staging manual. 8th ed. New York: Springer, 2017.
  • 10. Li HJ, Chen YT, Yuan SQ. Proposal of a modified American Joint Committee on Cancer staging scheme for resectable pancreatic ductal adenocarcinoma with a lymph node ratio-based N classification: a retrospective cohort study. Medicine (Baltimore) 2018; 97: e12094.ArticlePubMedPMC
  • 11. Schwarz RE, Smith DD. Extent of lymph node retrieval and pancreatic cancer survival: information from a large US population database. Ann Surg Oncol 2006; 13: 1189–200. ArticlePubMedPDF
  • 12. Tomlinson JS, Jain S, Bentrem DJ, et al. Accuracy of staging nodenegative pancreas cancer: a potential quality measure. Arch Surg 2007; 142: 767–23. ArticlePubMed
  • 13. van der Valk P, Meijer CJ. The lymph nodes. In: Mills SE, ed. Histology for pathologists. 4th ed. Philadelphia: Lippincott Williams & Wilkins, 2012; 820–8.
  • 14. Prenzel KL, Holscher AH, Vallbohmer D, et al. Lymph node size and metastatic infiltration in adenocarcinoma of the pancreatic head. Eur J Surg Oncol 2010; 36: 993–6. ArticlePubMed
  • 15. Roche CJ, Hughes ML, Garvey CJ, et al. CT and pathologic assessment of prospective nodal staging in patients with ductal adenocarcinoma of the head of the pancreas. AJR Am J Roentgenol 2003; 180: 475–80. ArticlePubMed
  • 16. Megibow AJ, Zhou XH, Rotterdam H, et al. Pancreatic adenocarcinoma: CT versus MR imaging in the evaluation of resectability: report of the Radiology Diagnostic Oncology Group. Radiology 1995; 195: 327–32. ArticlePubMed
  • 17. Muller MF, Meyenberger C, Bertschinger P, Schaer R, Marincek B. Pancreatic tumors: evaluation with endoscopic US, CT, and MR imaging. Radiology 1994; 190: 745–51. ArticlePubMed
  • 18. Midwinter MJ, Beveridge CJ, Wilsdon JB, Bennett MK, Baudouin CJ, Charnley RM. Correlation between spiral computed tomography, endoscopic ultrasonography and findings at operation in pancreatic and ampullary tumours. Br J Surg 1999; 86: 189–93. ArticlePubMed
  • 19. Palazzo L, Roseau G, Gayet B, et al. Endoscopic ultrasonography in the diagnosis and staging of pancreatic adenocarcinoma: results of a prospective study with comparison to ultrasonography and CT scan. Endoscopy 1993; 25: 143–50. ArticlePubMedPDF
  • 20. Zeman RK, Cooper C, Zeiberg AS, et al. TNM staging of pancreatic carcinoma using helical CT. AJR Am J Roentgenol 1997; 169: 459–64. ArticlePubMed
  • 21. Rosch T, Braig C, Gain T, et al. Staging of pancreatic and ampullary carcinoma by endoscopic ultrasonography. Comparison with conventional sonography, computed tomography, and angiography. Gastroenterology 1992; 102: 188–99. ArticlePubMed
  • 22. Al-Hawary MM, Francis IR, Chari ST, et al. Pancreatic ductal adenocarcinoma radiology reporting template: consensus statement of the Society of Abdominal Radiology and the American Pancreatic Association. Radiology 2014; 270: 248–60. ArticlePubMed
  • 23. Rosai J. Rosai and Ackerman’s surgical pathology. 10th ed. New York: Mosby Elsevier, 2011.
  • 24. Tran T, Sundaram CP, Bahler CD, et al. Correcting the shrinkage effects of formalin fixation and tissue processing for renal tumors: toward standardization of pathological reporting of tumor size. J Cancer 2015; 6: 759–66. ArticlePubMedPMC

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      Lymph node size and its association with nodal metastasis in ductal adenocarcinoma of the pancreas
      J Pathol Transl Med. 2020;54(5):387-395.   Published online July 21, 2020
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