Evidence map›Paper›PMID 26993317›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2016

PET/MRI in pancreatic and periampullary cancer: correlating diffusion-weighted imaging, MR spectroscopy and glucose metabolic activity with clinical stage and prognosis.

Bang-Bin Chen, Yu-Wen Tien, Ming-Chu Chang, Mei-Fang Cheng, Yu-Ting Chang, Chih-Horng Wu, Xin-Jia Chen, Ting-Chun Kuo, Shih-Hung Yang, I-Lun Shih and 2 more

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
8.0field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 66 citations in OpenAlex.

  1. Trial
  2. Molecular Imaging: Unveiling Metabolic Abnormalities in Pancreatic Cancer.International journal of molecular sciences · 2025
    Review
  3. Toward diffusion MRI in the diagnosis and treatment of pancreatic cancer.Medical oncology (Northwood, London, England) · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. International EANM-SNMMI-ISMRM consensus recommendation for PET/MRI in oncology.European journal of nuclear medicine and molecular imaging · 2023
    Article
  8. Comparison ofAbdominal radiology (New York) · 2023
    Article
  9. The value ofQuantitative imaging in medicine and surgery · 2023
    Article
  10. Pharmaceuticals (Basel, Switzerland) · 2023
    Article
  11. Review
  12. Diagnosis and prognostic predictive value of delineation methods fromAmerican journal of nuclear medicine and molecular imaging · 2023
    Article
  13. The Performance Comparison ofMolecular imaging and biology · 2022
    Article
  14. Review
  15. Glycolysis in the progression of pancreatic cancer.American journal of cancer research · 2022
    Review
  16. Review
  17. Article
  18. Article
  19. [EJNMMI research · 2021
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 2 institutions in 1 country.

Bang-Bin ChenDepartment of Medical Imaging and Radiology, National Taiwan University College of Medicine and Hospital, No 7, Chung-Shan South Rd, Taipei, 10016, Taiwan.
Yu-Wen TienDepartment of Surgery, National Taiwan University College of Medicine and Hospital, Taipei, Taiwan.
Ming-Chu ChangDepartment of Internal Medicine, National Taiwan University College of Medicine and Hospital, Taipei, Taiwan.
Mei-Fang ChengDepartment of Nuclear Medicine and Radiology, National Taiwan University College of Medicine and Hospital, Taipei, Taiwan.
Yu-Ting ChangDepartment of Internal Medicine, National Taiwan University College of Medicine and Hospital, Taipei, Taiwan.
Chih-Horng WuDepartment of Medical Imaging and Radiology, National Taiwan University College of Medicine and Hospital, No 7, Chung-Shan South Rd, Taipei, 10016, Taiwan.
Xin-Jia ChenDepartment of Medical Imaging and Radiology, National Taiwan University College of Medicine and Hospital, No 7, Chung-Shan South Rd, Taipei, 10016, Taiwan.
Ting-Chun KuoDepartment of Surgery, National Taiwan University College of Medicine and Hospital, Taipei, Taiwan.
Shih-Hung YangDepartment of Oncology, National Taiwan University College of Medicine and Hospital, Taipei, Taiwan.
I-Lun ShihDepartment of Medical Imaging and Radiology, National Taiwan University College of Medicine and Hospital, No 7, Chung-Shan South Rd, Taipei, 10016, Taiwan.
Hong-Shiee LaiDepartment of Surgery, National Taiwan University College of Medicine and Hospital, Taipei, Taiwan.
Tiffany Ting-Fang ShihDepartment of Medical Imaging and Radiology, National Taiwan University College of Medicine and Hospital, No 7, Chung-Shan South Rd, Taipei, 10016, Taiwan. ttfshih@ntu.edu.tw.
National Taiwan University Hospital · TWTaipei Municipal YangMing Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo correlate the clinical stage and prognosis of pancreatic or periampullary cancer with the imaging biomarkers on diffusion-weighted imaging, magnetic resonance spectroscopy and glucose metabolic activity derived from integrated PET/MRI.

methodsThis prospective study was approved by the institutional review board and informed consent was obtained. The study group comprised 60 consecutive patients with pancreatic or periampullary cancer who underwent PET/MRI before treatment. The imaging biomarkers were the minimal apparent diffusion coefficient (ADCmin), choline levels, standardized uptake values, metabolic tumour volume (MTV), and total lesion glycolysis (TLG) of the tumours. The relationships between these biomarkers and clinical TNM stage were evaluated using the Pearson test and the Mann-Whitney U test. The area under the receiver operating characteristic curve (AUROC) was used to evaluate accuracy. The correlation between the imaging biomarker and progression-free survival (PFS) was investigated using the Cox proportional hazards model.

resultsADCmin was significantly lower in N1 and TNM stage 3+ tumours. Choline levels significantly higher in T4 tumours. TLG was significantly higher in T4, N1 and TNM stage 3+ tumours. MTV was significantly higher in T4, N1, M1, and TNM stage 3+ tumours (all P < 0.05). The MTV/ADCmin ratio exhibited the highest AUROC for predicting T4, N1, M1, and advanced TNM stages tumours, and was an independent predictor of PFS (P = 0.018) after adjustment for age, sex, tumour size and stage.

conclusionThe imaging biomarkers from integrated PET/MRI may predict clinical stage and PFS in patients with pancreatic or periampullary cancer.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorDiffusion Magnetic Resonance ImagingDisease-Free SurvivalFemaleFluorodeoxyglucose F18GlucoseHumansMagnetic Resonance SpectroscopyMaleMetabolic Clearance RateMiddle AgedNeoplasm StagingPancreatic NeoplasmsBiomarkers, TumorFluorodeoxyglucose F18GlucoseRadiopharmaceuticalsDiffusion-weighted imagingMR spectroscopyPancreatic cancerPeriampullary cancerPET/MRProgression-free survival

Identifiers

PMID26993317
OpenAlexW2302317688

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.