Evidence map›Paper›PMID 31969196›Full record

ArticleCancer imaging : the official publication of the International Cancer Imaging Society2020

Intravoxel incoherent motion and ADC measurements for differentiating benign from malignant thyroid nodules: utilizing the most repeatable region of interest delineation at 3.0 T.

Minghui Song, Yunlong Yue, Yanfang Jin, Jinsong Guo, Lili Zuo, Hong Peng, Queenie Chan

Abstract read
In one paragraph

Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

21 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Review
  8. An Enhanced Diagnostic Model for Incidental Hashimoto's Thyroiditis Using T2-Weighted and Diffusion-Weighted Imaging.Medical science monitor : international medical journal of experimental and clinical research · 2025
    Article
  9. Article
  10. Histogram analysis of multiple diffusion models for predicting advanced non-small cell lung cancer response to chemoimmunotherapy.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024
    Article
  11. Article
  12. Recommendations for improved reproducibility of ADC derivation on behalf of the Elekta MRI-linac consortium image analysis working group.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

7 authors.

Minghui SongDepartment of MR, Beijing Shijitan Hospital, Capital Medical University, Peking University Ninth School of Clinical Medicine, Tieyilu #10, Haidian District, Beijing, 100038, China.
Yunlong YueDepartment of MR, Beijing Shijitan Hospital, Capital Medical University, Peking University Ninth School of Clinical Medicine, Tieyilu #10, Haidian District, Beijing, 100038, China. sjtyyl@163.com.ORCID http://orcid.org/0000-0002-9768-8192
Yanfang JinDepartment of MR, Beijing Shijitan Hospital, Capital Medical University, Peking University Ninth School of Clinical Medicine, Tieyilu #10, Haidian District, Beijing, 100038, China.
Jinsong GuoDepartment of MR, Beijing Shijitan Hospital, Capital Medical University, Peking University Ninth School of Clinical Medicine, Tieyilu #10, Haidian District, Beijing, 100038, China.
Lili ZuoDepartment of MR, Beijing Shijitan Hospital, Capital Medical University, Peking University Ninth School of Clinical Medicine, Tieyilu #10, Haidian District, Beijing, 100038, China.
Hong PengDepartment of Otolaryngology, Beijing Shijitan Hospital, Capital Medical University, Peking University Ninth School of Clinical Medicine, Beijing, China.
Queenie ChanPhilips Healthcare, Shatin, New Territories, Hong Kong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is a growing need for a reproducible and effective imaging method for the quantitative differentiation of benign from malignant thyroid nodules. This study aimed to investigate the performances of intravoxel incoherent motion (IVIM) parameters and the apparent diffusion coefficient (ADC) in differentiating malignant from benign thyroid nodules derived from the most repeatable region of interest (ROI) delineation.

methodsForty-three patients with 46 pathologically confirmed thyroid nodules underwent diffusion-weighted imaging (DWI) with 8 b values. Two observers measured the intravoxel incoherent motion (IVIM) parameters (D, f and D*) and the apparent diffusion coefficient (ADC), ADC

resultsThe ICC values of all IVIM with W-L ROI delineation were higher than those with S-S ROI delineation, and excellent intra- and interobserver reproducibility was obtained. According to the Bland-Altman plots, the 95% limits of agreement of the IVIM parameters determined by the W-L ROIs revealed smaller absolute intra- and interobserver variability than those determined by S-S ROIs. The D and ADC

conclusionsThe W-L ROI of the thyroid was considered an effective method for obtaining IVIM measurements with excellent reproducibility for differentiating benign from malignant nodules.

Indexed as

AdolescentAdultAgedDiffusion Magnetic Resonance ImagingFemaleHumansMaleMiddle AgedObserver VariationReproducibility of ResultsROC CurveThyroid NoduleYoung AdultDiffusion magnetic resonance imagingReproducibility of resultsThyroid nodule

Identifiers

PMID31969196
PMCPMC6977258

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.