Evidence map›Paper›PMID 36925744›Full record

ArticleMolecular and clinical oncology2023

Whole‑body MRI for metastatic workup in patients diagnosed with cancer.

Rezheen J Rashid, Soran H Tahir, Fahmi H Kakamad, Sami S Omar, Abdulwahid M Salih, Shaho F Ahmed, Shalaw H Abdalla, Sharo Naqar, Rawezh Q Salih, Suhaib H Kakamad and 4 more

Registry-linked trialOpen access · diamondAbstract read
In one paragraph

Article in Molecular and clinical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06205901 (A Prospective Comparison Study Between 18F-FDG PET/CT and Whole-Body Diffusion Weighted MRI in the Detection of Distant Malignancies in Patients With Various Cancers), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.8field-weighted citation impact, top 15% 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.

NCT06205901 unknown statusnot on this mapstarted 2024, after this paper: background citation

A Prospective Comparison Study Between 18F-FDG PET/CT and Whole-Body Diffusion Weighted MRI in the Detection of Distant Malignancies in Patients With Various Cancers

TypeobservationalSponsorSohag UniversityRan2024 to 2025Enrolled50ConditionsDistant MetastasisArmsPET-CT, MRI
3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Lung Cancer Staging: Imaging and Potential Pitfalls.Diagnostics (Basel, Switzerland) · 2023
    Review
  6. Review
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

14 authors at 1 institution in 1 country.

Rezheen J RashidDepartment of Oncology, Hiwa Cancer Hospital Centre, Sulaimani Directorate of Health, Sulaimani, Kurdistan 46000, Iraq.
Soran H TahirSmart Health Tower, Sulaimani, Kurdistan 46000, Iraq.
Fahmi H KakamadSmart Health Tower, Sulaimani, Kurdistan 46000, Iraq.
Sami S OmarKscien Organization, Sulaimani, Kurdistan 46000, Iraq.
Abdulwahid M SalihSmart Health Tower, Sulaimani, Kurdistan 46000, Iraq.
Shaho F AhmedSmart Health Tower, Sulaimani, Kurdistan 46000, Iraq.
Shalaw H AbdallaDepartment of Oncology, Hiwa Cancer Hospital Centre, Sulaimani Directorate of Health, Sulaimani, Kurdistan 46000, Iraq.
Sharo NaqarDepartment of Oncology, Hiwa Cancer Hospital Centre, Sulaimani Directorate of Health, Sulaimani, Kurdistan 46000, Iraq.
Rawezh Q SalihSmart Health Tower, Sulaimani, Kurdistan 46000, Iraq.
Suhaib H KakamadKscien Organization, Sulaimani, Kurdistan 46000, Iraq.
Karukh K MohammedKscien Organization, Sulaimani, Kurdistan 46000, Iraq.
Shevan M MustafaKscien Organization, Sulaimani, Kurdistan 46000, Iraq.
Marwan N HassanSmart Health Tower, Sulaimani, Kurdistan 46000, Iraq.
Shvan H MohammedKscien Organization, Sulaimani, Kurdistan 46000, Iraq.
Kurdistan Regional Government · IQ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early diagnosis and appropriate staging workup are crucial for cancer patients. Whole-body magnetic resonance imaging (WB-MRI) has been proposed as another practical whole-body approach for assessing local invasiveness and distant metastases in patients newly diagnosed with cancer. The current study aimed to evaluate the efficacy of WB-MRI in assessing metastasis in patients newly diagnosed with cancer using histopathologic data as the reference method. A prospective observational study was performed from April 2018 to July 2020. MRI sequences were utilized to acquire anatomical and functional images in three orthogonal planes. The discovery was classified as nodal, skeletal and visceral metastases. Patient-based analysis was used for visceral metastasis and region-based for skeletal, systemic and lymph node metastases. A total of 43 consecutive patients (mean age, 56±15.2 years) were assessed successively. In 41 patients, there was a concordance between the WB-MRI and histological confirmation. The most prevalent site of metastasis was the skeletal system (18 patients). There were 12 individuals with liver metastasis, 10 with lung metastasis and 4 with peritoneal metastasis, with just one brain metastatic lesion found. On WB-MRI, 38 lymph node groups were deemed positive. Out of the total, 66 skeletal locations contained metastases. The accuracy of WB-MRI for nodal, skeletal and visceral metastases was (98.45, 100 and 100%, respectively). In conclusion, WB-MRI in three orthogonal planes, including the diffusion-weighted MRI with background body signal suppression sequence, may be utilized efficiently and accurately for assessing metastasis staging and may thus be utilized in patients with newly diagnosed cancer.

Indexed as

bone scancancerDWIBSmetastasisWB-DWIWB-MRI

Identifiers

PMID36925744
PMCPMC10011947
OpenAlexW4322739890

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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.