CC BY 4.0 · World J Nucl Med
DOI: 10.1055/s-0044-1788794
Original Article

Quantitative Dynamic Contrast-Enhanced Magnetic Resonance Imaging and Positron Emission Tomography (PET) for Distinguishing Metastatic Lymph Nodes from Nonmetastatic Among Patients with Rectal Cancer: A Systematic Review and Meta-Analysis

Seyedeh Nooshin Miratashi Yazdi
1   Department of Radiology, Tehran University of Medical Sciences, Tehran, Iran
,
Sahand Adib Moradi
2   Iranian Center of Neurological Research, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
3   Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran
,
Seyedeh Sahel Rasoulighasemlouei
3   Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran
,
Fatemeh Parouei
4   Department of Gastroenterology and Hepatology, Erasmus University Medical Center, Rotterdam, The Netherlands
,
Mohamad Ghazanfari Hashemi
5   Cancer Institute, Tehran University of Medical Sciences, Tehran, Iran
› Author Affiliations

Abstract

Objective The objective of this research was to assess the proficiency of quantitative dynamic contrast-enhanced magnetic resonance imaging (QDCE-MRI) and positron emission tomography (PET) imaging in distinguishing between metastatic and nonmetastatic lymph nodes in cases of rectal carcinoma.

Method This meta-analysis was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses standards. Two independent reviewers systematically searched databases including PubMed, Embase, Web of Science, and the Cochrane Library. The research took place in July 2022, with no restriction on the initial date of publication. For the analysis, we utilized Stata software (version 16.0), Review Manager (version 5.3), and the Open Meta-Analyst computational tool.

Results A total of 19 studies consisting of 1,451 patients were included in the current meta-analysis. The differences between metastatic and nonmetastatic lymph node parameters were significant by using short axis and Ktrans (6.9 ± 4 vs. 5.4 ± 0.5, 0.22 ± 0.1 vs. 0.14 ± 0.1, respectively). Contrast-enhanced MRI (CE-MRI) showed 73% sensitivity, 71% specificity, and 79% accuracy in detecting metastatic lymph nodes among rectal cancer patients based on six included studies (n = 530). The overall sensitivity, specificity, and accuracy of QDCE-MRI using Ktrans was calculated to be 80, 79, and 80%, respectively. Furthermore, PET-computed tomography (CT) showed a sensitivity of 80%, specificity of 91%, and accuracy of 86% in distinguishing metastatic lymph nodes. Quality utility analysis showed that using CE-MRI, QDCE-MRI, and PET-CT would increase the posttest probability to 69, 73, and 85%, respectively.

Conclusion QDCE-MRI demonstrates a commendable sensitivity and specificity, but slightly overshadowed by the higher specificity of PET-CT at 91%, despite comparable sensitivities. However, the heterogeneity in PET-CT sensitivity across studies and its high specificity indicate variability that can influence clinical decision-making. Thus, combining these imaging techniques and perhaps newer methods like PET/MRI could enhance diagnostic accuracy, reduce variability, and improve patient management strategies in rectal cancer.

Availability of Data and Supporting Materials Section

Please contact author for data requests.




Publication History

Article published online:
06 August 2024

© 2024. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)

Thieme Medical and Scientific Publishers Pvt. Ltd.
A-12, 2nd Floor, Sector 2, Noida-201301 UP, India

 
  • References

  • 1 Sung H, Ferlay J, Siegel RL. et al. Global Cancer Statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 2021; 71 (03) 209-249
  • 2 National Cancer Institute. Surveillance, Epidemiology, and End Results Program. Cancer Stat Facts: Colorectal Cancer. Accessed February 26, 2022 at: https://seer.cancer.gov/statfacts/html/colorect.html
  • 3 Koh DM, Brown G, Temple L. et al. Distribution of mesorectal lymph nodes in rectal cancer: in vivo MR imaging compared with histopathological examination. Initial observations. Eur Radiol 2005; 15: 1650-1657
  • 4 Horvat N, Carlos Tavares Rocha C, Clemente Oliveira B, Petkovska I, Gollub MJ. MRI of rectal cancer: tumor staging, imaging techniques, and management. Radiographics 2019; 39 (02) 367-387
  • 5 Bipat S, Glas AS, Slors FJ, Zwinderman AH, Bossuyt PM, Stoker J. Rectal cancer: local staging and assessment of lymph node involvement with endoluminal US, CT, and MR imaging–a meta-analysis. Radiology 2004; 232 (03) 773-783
  • 6 Niu XK, Bhetuwal A, Das S. et al. Meta-analysis of quantitative diffusion-weighted MR imaging in differentiating benign and malignant pancreatic masses. J Huazhong Univ Sci Technolog Med Sci 2014; 34 (06) 950-956
  • 7 Liu K, Xie P, Peng W, Zhou Z. Assessment of dynamic contrast-enhanced magnetic resonance imaging in the differentiation of pancreatic ductal adenocarcinoma from other pancreatic solid lesions. J Comput Assist Tomogr 2014; 38 (05) 681-686
  • 8 Li L, Wang K, Sun X. et al. Parameters of dynamic contrast-enhanced MRI as imaging markers for angiogenesis and proliferation in human breast cancer. Med Sci Monit 2015; 21: 376-382
  • 9 Alberda WJ, Dassen HP, Dwarkasing RS. et al. Prediction of tumor stage and lymph node involvement with dynamic contrast-enhanced MRI after chemoradiotherapy for locally advanced rectal cancer. Int J Colorectal Dis 2013; 28 (04) 573-580
  • 10 Vag T, Slotta-Huspenina J, Rosenberg R. et al. Computerized analysis of enhancement kinetics for preoperative lymph node staging in rectal cancer using dynamic contrast-enhanced magnetic resonance imaging. Clin Imaging 2014; 38 (06) 845-849
  • 11 Lamer S, Sigal R, Lassau N. et al. Radiologic assessment of intranodal vascularity in head and neck squamous cell carcinoma. Correlation with histologic vascular density. Invest Radiol 1996; 31 (11) 673-679
  • 12 Huang B, Wong CS, Whitcher B. et al. Dynamic contrast-enhanced magnetic resonance imaging for characterising nasopharyngeal carcinoma: comparison of semiquantitative and quantitative parameters and correlation with tumour stage. Eur Radiol 2013; 23 (06) 1495-1502
  • 13 Arçay Öztürk A, Flamen P. FAP-targeted PET imaging in gastrointestinal malignancies: a comprehensive review. Cancer Imaging 2023; 23 (01) 79
  • 14 Rutegård MK, Båtsman M, Axelsson J. et al. PET/MRI and PET/CT hybrid imaging of rectal cancer - description and initial observations from the RECTOPET (REctal Cancer trial on PET/MRI/CT) study. Cancer Imaging 2019; 19 (01) 52
  • 15 Moher D, Shamseer L, Clarke M. et al; PRISMA-P Group. Preferred Reporting Items for Systematic Review and Meta-Analysis protocols (PRISMA-P) 2015 statement. Syst Rev 2015; 4 (01) 1-9
  • 16 Whiting PF, Rutjes AW, Westwood ME. et al; QUADAS-2 Group. QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med 2011; 155 (08) 529-536
  • 17 Lambin P, Leijenaar RTH, Deist TM. et al. Radiomics: the bridge between medical imaging and personalized medicine. Nat Rev Clin Oncol 2017; 14 (12) 749-762
  • 18 DerSimonian R, Laird N. Meta-analysis in clinical trials. Control Clin Trials 1986; 7 (03) 177-188
  • 19 Harrison R, Jones B, Gardner P, Lawton R. Quality assessment with diverse studies (QuADS): an appraisal tool for methodological and reporting quality in systematic reviews of mixed- or multi-method studies. BMC Health Serv Res 2021; 21 (01) 144
  • 20 Choi HJ, Hyun MS, Jung GJ, Kim SS, Hong SH. Tumor angiogenesis as a prognostic predictor in colorectal carcinoma with special reference to mode of metastasis and recurrence. Oncology 1998; 55 (06) 575-581
  • 21 George ML, Dzik-Jurasz AS, Padhani AR. et al. Non-invasive methods of assessing angiogenesis and their value in predicting response to treatment in colorectal cancer. Br J Surg 2001; 88 (12) 1628-1636
  • 22 de Lussanet QG, Backes WH, Griffioen AW, van Engelshoven JM, Beets-Tan RG. Gadopentetate dimeglumine versus ultrasmall superparamagnetic iron oxide for dynamic contrast-enhanced MR imaging of tumor angiogenesis in human colon carcinoma in mice. Radiology 2003; 229 (02) 429-438
  • 23 Atkin G, Taylor NJ, Daley FM. et al. Dynamic contrast-enhanced magnetic resonance imaging is a poor measure of rectal cancer angiogenesis. Br J Surg 2006; 93 (08) 992-1000
  • 24 Yi B, Kang DK, Yoon D. et al. Is there any correlation between model-based perfusion parameters and model-free parameters of time-signal intensity curve on dynamic contrast enhanced MRI in breast cancer patients?. Eur Radiol 2014; 24 (05) 1089-1096
  • 25 Buadu LD, Murakami J, Murayama S. et al. Breast lesions: correlation of contrast medium enhancement patterns on MR images with histopathologic findings and tumor angiogenesis. Radiology 1996; 200 (03) 639-649
  • 26 Leach MO. Application of magnetic resonance imaging to angiogenesis in breast cancer. Breast Cancer Res 2001; 3 (01) 22-27
  • 27 Daldrup-Link HE, Rydland J, Helbich TH. et al. Quantification of breast tumor microvascular permeability with feruglose-enhanced MR imaging: initial phase II multicenter trial. Radiology 2003; 229 (03) 885-892
  • 28 Wang B, Gao ZQ, Yan X. Correlative study of angiogenesis and dynamic contrast-enhanced magnetic resonance imaging features of hepatocellular carcinoma. Acta Radiol 2005; 46 (04) 353-358
  • 29 Tuncbilek N, Unlu E, Karakas HM, Cakir B, Ozyilmaz F. Evaluation of tumor angiogenesis with contrast-enhanced dynamic magnetic resonance mammography. Breast J 2003; 9 (05) 403-408
  • 30 Brasch RC, Li KC, Husband JE. et al. In vivo monitoring of tumor angiogenesis with MR imaging. Acad Radiol 2000; 7 (10) 812-823
  • 31 Kim SH, Song BI, Kim BW. et al. Predictive value of [18F] FDG PET/CT for lymph node metastasis in rectal cancer. Sci Rep 2019; 9 (01) 4979
  • 32 Ishihara S, Kawai K, Tanaka T. et al. Diagnostic value of FDG-PET/CT for lateral pelvic lymph node metastasis in rectal cancer treated with preoperative chemoradiotherapy. Tech Coloproctol 2018; 22 (05) 347-354
  • 33 Li F, Hu J, Jiang H, Sun Y. Diagnosis of lymph node metastasis on rectal cancer by PET-CT computer imaging combined with MRI technology. J Infect Public Health 2020; 13 (09) 1347-1353
  • 34 Tsunoda Y, Ito M, Fujii H, Kuwano H, Saito N. Preoperative diagnosis of lymph node metastases of colorectal cancer by FDG-PET/CT. Jpn J Clin Oncol 2008; 38 (05) 347-353
  • 35 Tateishi U, Maeda T, Morimoto T, Miyake M, Arai Y, Kim EE. Non-enhanced CT versus contrast-enhanced CT in integrated PET/CT studies for nodal staging of rectal cancer. Eur J Nucl Med Mol Imaging 2007; 34 (10) 1627-1634
  • 36 Raman SP, Chen Y, Fishman EK. Evolution of imaging in rectal cancer: multimodality imaging with MDCT, MRI, and PET. J Gastrointest Oncol 2015; 6 (02) 172-184
  • 37 Crimì F, Spolverato G, Lacognata C. et al. 18F-FDG PET/MRI for rectal cancer TNM restaging after preoperative chemoradiotherapy: initial experience. Dis Colon Rectum 2020; 63 (03) 310-318
  • 38 Catalano OA, Lee SI, Parente C. et al. Improving staging of rectal cancer in the pelvis: the role of PET/MRI. Eur J Nucl Med Mol Imaging 2021; 48 (04) 1235-1245
  • 39 Yu XP, Wen L, Hou J, Wang H, Lu Q. Discrimination of metastatic from non-metastatic mesorectal lymph nodes in rectal cancer using quantitative dynamic contrast-enhanced magnetic resonance imaging. J Huazhong Univ Sci Technolog Med Sci 2016; 36 (04) 594-600
  • 40 Yang X, Chen Y, Wen Z. et al. Role of quantitative dynamic contrast-enhanced MRI in evaluating regional lymph nodes with a short-axis diameter of less than 5.  . mm in rectal cancer. AJR Am J Roentgenol 2019; 212 (01) 77-83
  • 41 Yu J, Xu Q, Huang DY. et al. Prognostic aspects of dynamic contrast-enhanced magnetic resonance imaging in synchronous distant metastatic rectal cancer. Eur Radiol 2017; 27 (05) 1840-1847
  • 42 Yeo DM, Oh SN, Jung CK. et al. Correlation of dynamic contrast-enhanced MRI perfusion parameters with angiogenesis and biologic aggressiveness of rectal cancer: Preliminary results. J Magn Reson Imaging 2015; 41 (02) 474-480
  • 43 Doyon F, Attenberger UI, Dinter DJ, Schoenberg SO, Post S, Kienle P. Clinical relevance of morphologic MRI criteria for the assessment of lymph nodes in patients with rectal cancer. Int J Colorectal Dis 2015; 30 (11) 1541-1546
  • 44 Ogawa S, Hida J, Ike H. et al. Selection of lymph node–positive cases based on perirectal and lateral pelvic lymph nodes using magnetic resonance imaging: study of the Japanese Society for Cancer of the Colon and Rectum. Ann Surg Oncol 2016; 23 (04) 1187-1194
  • 45 Gröne J, Loch FN, Taupitz M, Schmidt C, Kreis ME. Accuracy of various lymph node staging criteria in rectal cancer with magnetic resonance imaging. J Gastrointest Surg 2018; 22 (01) 146-153
  • 46 Kim MJ, Hur BY, Lee ES. et al. Prediction of lateral pelvic lymph node metastasis in patients with locally advanced rectal cancer with preoperative chemoradiotherapy: Focus on MR imaging findings. PLoS One 2018; 13 (04) e0195815
  • 47 Armbruster M, D'Anastasi M, Holzner V. et al. Improved detection of a tumorous involvement of the mesorectal fascia and locoregional lymph nodes in locally advanced rectal cancer using DCE-MRI. Int J Colorectal Dis 2018; 33 (07) 901-909
  • 48 Sekido Y, Nishimura J, Fujino S. et al. Predicting lateral pelvic lymph node metastasis based on magnetic resonance imaging before and after neoadjuvant chemotherapy for patients with locally advanced lower rectal cancer. Surg Today 2020; 50 (03) 292-297
  • 49 Park JS, Jang YJ, Choi GS. et al. Accuracy of preoperative MRI in predicting pathology stage in rectal cancers: node-for-node matched histopathology validation of MRI features. Dis Colon Rectum 2014; 57 (01) 32-38
  • 50 Bae SU, Won KS, Song BI, Jeong WK, Baek SK, Kim HW. Accuracy of F-18 FDG PET/CT with optimal cut-offs of maximum standardized uptake value according to size for diagnosis of regional lymph node metastasis in patients with rectal cancer. Cancer Imaging 2018; 18 (01) 32
  • 51 Hotta M, Minamimoto R, Yano H, Gohda Y, Shuno Y. Diagnostic performance of 18F-FDG PET/CT using point spread function reconstruction on initial staging of rectal cancer: a comparison study with conventional PET/CT and pelvic MRI. Cancer Imaging 2018; 18 (01) 4
  • 52 Kim DJ, Kim JH, Ryu YH, Jeon TJ, Yu JS, Chung JJ. Nodal staging of rectal cancer: high-resolution pelvic MRI versus 18F-FDGPET/CT. J Comput Assist Tomogr 2011; 35 (05) 531-534
  • 53 Yukimoto R, Uemura M, Tsuboyama T. et al. Efficacy of positron emission tomography in diagnosis of lateral lymph node metastases in patients with rectal cancer: a retrospective study. BMC Cancer 2021; 21 (01) 520