Literature DB >> 28419614

Prospective comparison of biphasic contrast-enhanced CT, volume perfusion CT, and 3 Tesla MRI with diffusion-weighted imaging for insulinoma detection.

Liang Zhu1, Huadan Xue1, Zhaoyong Sun1, Ping Li1, Tianyi Qian2, Xiaoping Xing3, Naishi Li3, Yupei Zhao4, Wenming Wu4, Zhengyu Jin1.   

Abstract

PURPOSE: To evaluate the diagnostic performance of biphasic contrast-enhanced CT (CECT), volume perfusion CT (VPCT) and 3 Tesla MRI with diffusion-weighted imaging (DWI), in patients with clinically suspected insulinomas.
MATERIALS AND METHODS: This prospective study was approved by the institutional review board. Sixty-four patients with clinically suspected insulinomas underwent biphasic CECT, VPCT, and 3T MR with DWI. Two radiologists independently determined the presence/absence of tumor using a 5-scale confidence level. Conspicuity of the lesion and clarity of tumor-to-pancreatic duct distance were graded. Receiver operating characteristic analysis was performed to compare diagnostic performance.
RESULTS: Forty-seven patients were tumor positive, with 51 tumors. The differences between the areas under the curve values for tumor detection were as follows: 0.715 (CECT), 0.903 (VPCT), 0.832 (MRI without DWI) and 0.955 (MRI with DWI) for reader 1, and 0.738 (CECT), 0.895 (VPCT), 0.841 (MRI without DWI), and 0.956 (MRI with DWI) for reader 2. MRI with DWI and VPCT were significantly more accurate than CECT for insulinoma detection (P = 0.01 and 0.02 for reader 1, and P = 0.01 and 0.03 for reader 2). Lesion conspicuity was better on MRI compared with VPCT (P = 0.01), and both were better than CECT (both P < 0.01). Tumor-to-pancreatic duct distance was better appreciated on MRI, compared with CECT and VPCT (both P < 0.01). The weighted k values indicate good to excellent agreement between observers for determining tumor presence/absence (k = 0.64-0.84).
CONCLUSION: The 3T MRI with DWI and VPCT are significantly more accurate than CECT for insulinoma detection. MRI demonstrates higher tumor conspicuity and is superior in depicting the tumor-to-duct distance. LEVEL OF EVIDENCE: 1 Technical Efficacy: Stage 3 J. Magn. Reson. Imaging 2017;46:1648-1655.
© 2017 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  3T MRI; diffusion-weighted imaging; insulinoma; multidetector computed tomography; volume perfusion

Mesh:

Substances:

Year:  2017        PMID: 28419614     DOI: 10.1002/jmri.25709

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  9 in total

1.  Comparison of glucagon-like peptide-1 receptor (GLP-1R) PET/CT, SPECT/CT and 3T MRI for the localisation of occult insulinomas: evaluation of diagnostic accuracy in a prospective crossover imaging study.

Authors:  Kwadwo Antwi; Melpomeni Fani; Tobias Heye; Guillaume Nicolas; Christof Rottenburger; Felix Kaul; Elmar Merkle; Christoph J Zech; Daniel Boll; Deborah R Vogt; Beat Gloor; Emanuel Christ; Damian Wild
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-07-28       Impact factor: 9.236

2.  The incidence of insulinoma in Western Sweden between 2002 and 2019.

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Journal:  Ann Gastroenterol       Date:  2022-03-25

3.  Homogenously isoattenuating insulinoma on biphasic contrast-enhanced computed tomography: Little benefits of diffusion-weighted imaging for lesion detection.

Authors:  Zhenshan Shi; Xiumei Li; Ruixiong You; Yueming Li; Xianying Zheng; Kamisha Ramen; Vikash Sahadeo Loosa; Dairong Cao; Qunlin Chen
Journal:  Oncol Lett       Date:  2018-06-28       Impact factor: 2.967

4.  Targeted Optical Imaging of the Glucagonlike Peptide 1 Receptor Using Exendin-4-IRDye 800CW.

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Journal:  J Nucl Med       Date:  2020-01-10       Impact factor: 11.082

5.  Clinical Management of Malignant Insulinoma: a single Institution's experience over three decades.

Authors:  Jie Yu; Fan Ping; Huabing Zhang; Wei Li; Tao Yuan; Yong Fu; Kai Feng; Weibo Xia; Lingling Xu; Yuxiu Li
Journal:  BMC Endocr Disord       Date:  2018-12-06       Impact factor: 2.763

6.  Occult insulinoma with treatment refractory, severe hypoglycaemia in multiple endocrine neoplasia type 1 syndrome; difficulties faced during diagnosis, localization and management; a case report.

Authors:  Rasika Ranaweerage; Shehan Perera; Harsha Sathischandra
Journal:  BMC Endocr Disord       Date:  2022-03-16       Impact factor: 2.763

7.  Value of multi-detector computed tomography during intra-arterial infusion of contrast medium for locating insulinomas.

Authors:  Peng Song; Jie-Yu Yan; Yan Wang; Xiao Li
Journal:  J Int Med Res       Date:  2020-03       Impact factor: 1.671

Review 8.  Innovative imaging of insulinoma: the end of sampling? A review.

Authors:  Emanuel Christ; Kwadwo Antwi; Melpomeni Fani; Damian Wild
Journal:  Endocr Relat Cancer       Date:  2020-04       Impact factor: 5.678

9.  Diagnosis value preoperative localization of insulinoma by diffusion-weighted imaging: A pilot study.

Authors:  Li-Jun Chen; Yue-Dong Han; Ming Zhang
Journal:  Medicine (Baltimore)       Date:  2020-12-04       Impact factor: 1.817

  9 in total

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