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

被引:0
作者
Yazdi, Seyedeh Nooshin Miratashi [1 ]
Moradi, Sahand Adib [2 ,3 ]
Rasoulighasemlouei, Seyedeh Sahel [3 ]
Parouei, Fatemeh [4 ]
Hashemi, Mohamad Ghazanfari [5 ]
机构
[1] Univ Tehran Med Sci, Dept Radiol, Tehran, Iran
[2] Univ Tehran Med Sci, Neurosci Inst, Iranian Ctr Neurol Res, Tehran, Iran
[3] Univ Tehran Med Sci, Adv Diagnost & Intervent Radiol Res Ctr ADIR, Tehran, Iran
[4] Erasmus Univ, Med Ctr, Dept Gastroenterol & Hepatol, Rotterdam, Netherlands
[5] Univ Tehran Med Sci, Canc Inst, P94V 8MF, Tehran, Iran
关键词
QDCE-MRI; quantitative dynamic contrast-enhanced magnetic resonance imaging; positron emission tomography; metastatic lymph node; rectal cancer; TUMOR ANGIOGENESIS; PERFUSION PARAMETERS; MRI; CARCINOMA; INVOLVEMENT; DIAGNOSIS; ACCURACY; CRITERIA; COLON; STAGE;
D O I
10.1055/s-0044-1788794
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
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.
引用
收藏
页码:3 / 12
页数:10
相关论文
共 53 条
  • [21] Diagnostic value of FDG-PET/CT for lateral pelvic lymph node metastasis in rectal cancer treated with preoperative chemoradiotherapy
    Ishihara, S.
    Kawai, K.
    Tanaka, T.
    Kiyomatsu, T.
    Hata, K.
    Nozawa, H.
    Morikawa, T.
    Watanabe, T.
    [J]. TECHNIQUES IN COLOPROCTOLOGY, 2018, 22 (05) : 347 - 354
  • [22] Nodal Staging of Rectal Cancer: High-Resolution Pelvic MRI Versus 18F-FDGPET/CT
    Kim, Dae Jung
    Kim, Joo Hee
    Ryu, Young Hoon
    Jeon, Tae Joo
    Yu, Jeong-Sik
    Chung, Jae-Joon
    [J]. JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 2011, 35 (05) : 531 - 534
  • [23] Prediction of lateral pelvic lymph node metastasis in patients with locally advanced rectal cancer with preoperative chemoradiotherapy: Focus on MR imaging findings
    Kim, Min Ju
    Hur, Bo Yun
    Lee, Eun Sun
    Parka, Boram
    Joo, Jungnam
    Kim, Min Jung
    Park, Sung Chan
    Baek, Ji Yeon
    Chang, Hee Jin
    Kim, Dae Yong
    Oh, Jae Hwan
    [J]. PLOS ONE, 2018, 13 (04):
  • [24] Predictive Value of [18F]FDG PET/CT for Lymph Node Metastasis in Rectal Cancer
    Kim, Sung Hoon
    Song, Bong-Il
    Kim, Beong Woo
    Kim, Hae Won
    Won, Kyoung S. Ook
    Bae, Sung Uk
    Jeong, Woon Kyung
    Baek, Seong Kyu
    [J]. SCIENTIFIC REPORTS, 2019, 9 (1)
  • [25] Distribution of mesorectal lymph nodes in rectal cancer: in vivo MR imaging compared with histopathological examination. Initial observations
    Koh, DM
    Brown, G
    Temple, L
    Blake, H
    Raja, A
    Toomey, P
    Bett, N
    Farhat, S
    Norman, AR
    Daniels, I
    Husband, JE
    [J]. EUROPEAN RADIOLOGY, 2005, 15 (08) : 1650 - 1657
  • [26] Radiomics: the bridge between medical imaging and personalized medicine
    Lambin, Philippe
    Leijenaar, Ralph T. H.
    Deist, Timo M.
    Peerlings, Jurgen
    de Jong, Evelyn E. C.
    van Timmeren, Janita
    Sanduleanu, Sebastian
    Larue, Ruben T. H. M.
    Even, Aniek J. G.
    Jochems, Arthur
    van Wijk, Yvonka
    Woodruff, Henry
    van Soest, Johan
    Lustberg, Tim
    Roelofs, Erik
    van Elmpt, Wouter
    Dekker, Andre
    Mottaghy, Felix M.
    Wildberger, Joachim E.
    Walsh, Sean
    [J]. NATURE REVIEWS CLINICAL ONCOLOGY, 2017, 14 (12) : 749 - 762
  • [27] Radiologic assessment of intranodal vascularity in head and neck squamous cell carcinoma - Correlation with histologic vascular density
    Lamer, S
    Sigal, R
    Lassau, N
    Bosq, J
    Frouin, F
    DiPaola, M
    Mamelle, G
    Leclere, J
    Bittoun, J
    DiPaola, R
    [J]. INVESTIGATIVE RADIOLOGY, 1996, 31 (11) : 673 - 679
  • [28] Application of magnetic resonance imaging to angiogenesis in breast cancer
    Leach, MO
    [J]. BREAST CANCER RESEARCH, 2001, 3 (01) : 22 - 27
  • [29] Diagnosis of lymph node metastasis on rectal cancer by PET-CT computer imaging combined with MRI technology
    Li, Fangwei
    Hu, Jiahang
    Jiang, Hua
    Sun, Yan
    [J]. JOURNAL OF INFECTION AND PUBLIC HEALTH, 2020, 13 (09) : 1347 - 1353
  • [30] Li L, 2015, MED SCI MONITOR, V21, P376, DOI 10.12659/MSM.892534