Abstract
Introduction
Cholangiocarcinoma (CCA) is the primary tumor found in the bile duct and is associated with a high incidence of lymph node (LN) metastases and poor outcomes. The presence of metastatic lymph nodes, when shown by imaging, can influence patient treatment and prognosis. DWI is a promising, non-invasive imaging technique for differentiating between benign and malignant LNs. Many studies have shown that LN metastases have a lower apparent diffusion coefficient (ADC) value when compared to benign nodes.
Objective
To evaluate the performance of ADC values as a basis for diagnosis of LN metastasis in cholangiocarcinoma patients.
Materials and methods
This was a retrospective imaging study that evaluated histopathologically proven intraabdominal LNs in cholangiocarcinoma patients who underwent a 1.5T abdomen MRI with DWI between January 2012 and July 2016. The ADC values and short-axis diameters of the LNs were measured and compared using student’s t test. Receiver operating characteristic (ROC) curves were used to determine the threshold.
Results
A total of 120 lymph nodes—85 benign and 35 metastatic—were included. The mean short-axis diameter of the benign LNs (8.34 mm) was significantly lesser than that of the malignant LNs (9.56 mm). Receiver operating characteristic curve analysis using a size criterion of 1 cm yielded a value of 0.63. A diagnostic size criterion of 1 cm for the short axis was applied and yielded an accuracy of 66%, sensitivity/specificity of 41%/75%, and positive/negative predictive value of 34%/80%. The mean ADC values of metastatic (1.31 × 10−3 mm2/s) LNs were not significantly different from those of non-metastatic LNs (1.29 × 10−3 mm2/s).
Conclusion
There was no difference in terms of ADC value between benign lymph nodes and those with metastatic cholangiocarcinoma. Isolated measurement of the ADC value does not contribute to a diagnosis of lymph node metastasis.
Similar content being viewed by others
References
Chamadol N, Pairojkul C, Khuntikeo N, et al. (2014) Histological confirmation of periductal fibrosis from ultrasound diagnosis in cholangiocarcinoma patients. J Hepatobiliary Pancreat Sci 21(5):316–322
Chamadol N (2014) Imaging of Cholangiocarcinoma Khon Kaen, 1st edn. Khon Kaen: Radiology Department, Faculty of Medicine, KKU
Kaewpitoon N, Kaewpitoon SJ, Pengsaa P, Sripa B (2008) Orpisthorchis viverrini: the carcinogenic human liver fluke. World J Gastroenterol 14(5):666–674
Murakami Y, Uemura K, Hayashidani Y, et al. (2007) Pancreatoduodenectomy for distal cholangiocarcinoma: prognostic impact of lymph node metastasis. World J Surg 31(2):337–344
Unno M, Katayose Y, Rikiyama T, et al. (2010) Major hepatectomy for perihilar cholangiocarcinoma. J Hepatobiliary Pancreat Sci 17(4):463–469
Young AL, Prasad KR, Toogood GJ, Lodge JP (2010) Surgical treatment of hilar cholangiocarcinoma in a new era: comparison among leading Eastern and Western centers. Leeds J Hepatobiliary Pancreat Sci 17(4):497–504
Lau SH, Lau WY (2012) Current therapy of hilar cholangiocarcinoma. Hepatobiliary Pancreat Dis Int 11(1):12–17
Edge SB, Byrd DR, Compton CC, et al. (2010) Perihilar bile ducts. In: Amin MB, et al. (eds) AJCC cancer staging handbook, 7th edn. Chicago, IL: Springer, p 718
Lee HY, Kim SH, Lee JM, et al. (2006) Preoperative assessment of resectability of hepatic hilar cholangiocarcinoma: combined CT and cholangiography with revised criteria. Radiology 239(1):113–121
Roche CJ, Hughes ML, Garvey CJ, et al. (2003) CT and pathologic assessment of prospective nodal staging in patients with ductal adenocarcinoma of the head of the pancreas. AJR Am J Roentgenol 180(2):475–480
Kluge R, Schmidt F, Caca K, et al. (2001) Positron emission tomography with [(18)F]fluoro-2-deoxy-d-glucose for diagnosis and staging of bile duct cancer. Hepatology 33(5):1029–1035
Hänninen EL, Pech M, Jonas S, et al. (2005) Magnetic resonance imaging including magnetic resonance cholangiopancreatography for tumor localization and therapy planning in malignant hilar obstructions. Acta Radiol 46(5):462–470
Wang J, Liao Q, Zhang Y, et al. (2012) Differential diagnosis of axillary inflammatory and metastatic lymph nodes in rabbit models by using diffusion-weighted imaging: compared with conventional magnetic resonance imaging. Korean J Radiol 13(4):458–466
Qayyum A (2009) Diffusion-weighted imaging in the abdomen and pelvis: concepts and applications. Radiographics 29(6):1797–1810
Shinya S, Sasaki T, Nakagawa Y, et al. (2007) The usefulness of diffusion-weighted imaging (DWI) for the detection of gastric cancer. Hepatogastroenterology 54(77):1378–1381
Xue HD, Li S, Sun HY, Jin ZY, Sun F (2008) Experimental study of inflammatory and metastatic lymph nodes with diffusion weighted imaging on animal model: comparison with conventional methods. Chin Med Sci J 23(3):166–171
Mir N, Sohaib SA, Collins D, Koh DM (2010) Fusion of high b-value diffusion-weighted and T2-weighted MR images improves identification of lymph nodes in the pelvis. J Med Imaging Radiat Oncol 54(4):358–364
Lin C, Luciani A, Itti E, et al. (2010) Whole-body diffusion-weighted magnetic resonance imaging with apparent diffusion coefficient mapping for staging patients with diffuse large B-cell lymphoma. Eur Radiol 20(8):2027–2038
Eiber M, Beer AJ, Holzapfel K, et al. (2010) Preliminary results for characterization of pelvic lymph nodes in patients with prostate cancer by diffusion-weighted MR-imaging. Invest Radiol 45(1):15–23
Chen YB, Liao J, Xie R, Chen GL, Chen G (2011) Discrimination of metastatic from hyperplastic pelvic lymph nodes in patients with cervical cancer by diffusion-weighted magnetic resonance imaging. Abdom Imaging 36(1):102–109
Klerkx WM, Mali WM, Peter Heintz A, et al. (2011) Observer variation of magnetic resonance imaging and diffusion weighted imaging in pelvic lymph node detection. Eur J Radiol 78(1):71–74
Vallini V, Ortori S, Boraschi P, et al. (2015) Staging of pelvic lymph nodes in patients with prostate cancer: usefulness of multiple b value SE-EPI diffusion-weighted imaging on a 3.0T MR system. Eur J Radiol Open 3:16–21
Wang J, Takashima S, Takayama F, et al. (2001) Head and neck lesions: characterization with diffusion-weighted echo-planar MR imaging. Radiology 220(3):621–630
Le Bihan D, Breton E, Lallemand D, et al. (1986) MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders. Radiology 161(2):401–407
Holzapfel K, Gaa J, Schubert EC, et al. (2016) Value of diffusion-weighted MR imaging in the diagnosis of lymph node metastases in patients with cholangiocarcinoma. Abdom Radiol (NY) 41(10):1937–1941
Kim HJ, Karpeh MS, Brennan MF (2001) Standardization of the extent of lymphadenectomy for gastric cancer: impact on survival. Adv Surg 35:203–223
Roy C, Bierry G, Matau A, Bazille G, Pasquali R (2010) Value of diffusion-weighted imaging to detect small malignant pelvic lymph nodes at 3 T. Eur Radiol 20(8):1803–1811
Li H, Liu X-W, Geng Z-J, Wang D-L, Xie C-M (2015) Diffusion-weighted imaging to differentiate metastatic from non-metastatic retropharyngeal lymph nodes in nasopharyngeal carcinoma. Dentomaxillofac Radiol 44(3):20140126
Ruys AT, Ten Kate FJ, Busch OR, et al. (2011) Metastatic lymph nodes in hilar cholangiocarcinoma: does size matter? HPB (Oxford) 13(12):881–886
Padhani AR, Liu G, Koh DM, et al. (2009) Diffusion-weighted magnetic resonance imaging as a cancer biomarker: consensus and recommendations. Neoplasia 11(2):102–125
Nakai G, Matsuki M, Inada Y, et al. (2008) Detection and evaluation of pelvic lymph nodes in patients with gynecologic malignancies using body diffusion-weighted magnetic resonance imaging. J Comput Assist Tomogr 32(5):764–768
Yasui O, Sato M, Kamada A (2009) Diffusion-weighted imaging in the detection of lymph node metastasis in colorectal cancer. Tohoku J Exp Med 218(3):177–183
Anzai Y, Piccoli CW, Outwater EK, et al. (2003) Evaluation of neck and body metastases to nodes with ferumoxtran 10-enhanced MR imaging: phase III safety and efficacy study. Radiology 228(3):777–788
Anzai Y, Blackwell KE, Hirschowitz SL, et al. (1994) Initial clinical experience with dextran-coated superparamagnetic iron oxide for detection of lymph node metastases in patients with head and neck cancer. Radiology 192(3):709–715
Hoffman HT, Quets J, Toshiaki T, et al. (2000) Functional magnetic resonance imaging using iron oxide particles in characterizing head and neck adenopathy. Laryngoscope 110(9):1425–1430
Sigal R, Vogl T, Casselman J, et al. (2001) Lymph node metastases from head and neck squamous cell carcinoma: MR imaging with ultrasmall superparamagnetic iron oxide particles (Sinerem MR)—results of a phase-III multicenter clinical trial. Eur Radiol 12(5):1104–1113
Mack MG, Balzer JO, Straub R, Eichler K, Vogl TJ (2002) Superparamagnetic iron oxide—enhanced MR imaging of head and neck lymph nodes. Radiology 222(1):239–244
Harisinghani MG, Barentsz J, Hahn PF, et al. (2003) Noninvasive detection of clinically occult lymph–node metastases in prostate cancer. N Engl J Med 348:2491–2499
Deserno WM, Harisinghani MG, Taupitz M (2004) Urinary bladder cancer: preoperative nodal staging with ferumoxtran-10—enhanced MR imaging. Radiology 233(2):449–456
Stets C, Brandt S, Wallis F, et al. (2002) Axillary lymph node metastases: a statistical analysis of various parameters in MRI with USPIO. J Magn Reson Imaging 16(1):60–68
Michel SC, Keller TM, Frohlich JM, et al. (2002) Preoperative breast cancer staging: MR imaging of the axilla with ultrasmall superparamagnetic iron oxide enhancement. Radiology 225(2):527–536
Pannu HK, Wang KP, Borman TL, Bluemke DA (2000) MR imaging of mediastinal lymph nodes: evaluation using a superparamagnetic contrast agent. J Magn Reson Imaging 12(6):899–904
Nguyen BC, Stanford W, Thompson BH, et al. (1999) Multicenter clinical trial of ultrasmall superparamagnetic iron oxide in the evaluation of mediastinal lymph nodes in patients with primary lung carcinoma. J Magn Reson Imaging 10(3):468–473
Keller TM, Michel SC, Frohlich J, et al. (2004) USPIO-enhanced MRI for preoperative staging of gynecological pelvic tumors: preliminary results. Eur Radiol 14(6):937–944
Harisinghani MG, Ross RW, Guimaraes AR, Weissleder R (2007) Utility of a new bolus-injectable nanoparticle for clinical cancer staging. Neoplasia 9(12):1160–1165
McDermott S, Thayer SP, Castillo CF, et al. (2013) Accurate prediction of nodal status in preoperative patients with pancreatic ductal adenocarcinoma using next-gen nanoparticle. Transl Oncol 6(6):670–675
Acknowledgements
We would like to acknowledge Dylan Southard (Research Affairs, Faculty of Medicine, Khon Kaen University, Thailand) for editing the manuscript.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Funding
This study was funded by Faculty of Medicine Khon Kaen University, Thailand (Grant Number IN60110).
Conflict of interest
The authors declare that they have no conflict of interest.
Ethics approval
All procedures performed in studies involving human participants were performed in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
Informed consent
For this type of retrospective study, formal consent is not required.
Rights and permissions
About this article
Cite this article
Promsorn, J., Soontrapa, W., Somsap, K. et al. Evaluation of the diagnostic performance of apparent diffusion coefficient (ADC) values on diffusion-weighted magnetic resonance imaging (DWI) in differentiating between benign and metastatic lymph nodes in cases of cholangiocarcinoma. Abdom Radiol 44, 473–481 (2019). https://doi.org/10.1007/s00261-018-1742-6
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00261-018-1742-6