Evidence map›Paper›PMID 36308554›Full record

ArticleAbdominal radiology (New York)2023

FDG-PET/MRI for the preoperative diagnosis and staging of peritoneal carcinomatosis: a prospective multireader pilot study.

Naik Vietti Violi, Somali Gavane, Pamela Argiriadi, Amy Law, Sherif Heiba, Eliahu Y Bekhor, James S Babb, Munir Ghesani, Daniel M Labow, Bachir Taouli

Abstract read
PubMed Publisher
In one paragraph

Article in Abdominal radiology (New York), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Imaging of Peritoneal Surface Malignancies.Journal of surgical oncology · 2024
    Review
  4. 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

10 authors at 4 institutions in 3 countries.

Naik Vietti VioliBioMedical Engineering and Imaging Institute, Icahn School of Medicine Mount Sinai, 1470 Madison Avenue, New York, NY, 10029, USA.
Somali GavaneDepartment of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Pamela ArgiriadiDepartment of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Amy LawDepartment of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Sherif HeibaDepartment of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Eliahu Y BekhorDepartment of Surgery, Rabin Medical Center, Petah Tikva, Israel.
James S BabbDepartment of Radiology, New York University Langone Medical Center, New York, NY, USA.
Munir GhesaniDepartment of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Daniel M LabowDivision of Surgical Oncology, Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Bachir TaouliBioMedical Engineering and Imaging Institute, Icahn School of Medicine Mount Sinai, 1470 Madison Avenue, New York, NY, 10029, USA. bachir.taouli@mountsinai.org.ORCID 0000-0001-6409-1333
Icahn School of Medicine at Mount Sinai · USNYU Langone Health · USRabin Medical Center · ILUniversity of Lausanne · CH

Funding

nccr - on the move P2LAP3_178053
6 · The paper itself

Abstract

purposeTo assess the diagnostic performance of FDG-PET/MRI for the preoperative diagnosis and staging of peritoneal carcinomatosis (PC) using surgical Sugarbaker's PC index (PCI) as the reference in a multireader pilot study.

methodsFourteen adult patients (M/F: 3/11, mean age: 57 ± 12 year) with PC were prospectively included in this single-center study. Patients underwent FDG-PET/MRI prior to surgery (mean delay: 14 d, range: 1-63 d). Images were reviewed independently by 2 abdominal radiologists and 2 nuclear medicine physicians. The radiologists assessed contrast-enhanced abdominal MR images, while the nuclear medicine physicians assessed PET images fused with T2-weighted images. The abdomen was divided in 13 regions, scored from 0 to 3. A hybrid FDG-PET/MRI radiological PCI was created by combining the study data. Radiological PCI was compared to the surgical PCI on a per-patient and per-region basis. Inter-reader agreement was evaluated.

resultsMean surgical PCI was 10 ± 8 (range: 0-24). Inter-reader agreement was almost perfect for all sets for radiologic PCI (Kappa: 0.81-0.98). PCI scores for all reading sets significantly correlated with the surgical PCI score (r range: 0.57-0.74, p range: < 0.001-0.003). Pooled per-patient sensitivity, specificity, and accuracy were 75%/50%/71.4% for MRI, 66.7%/50%/64.3% for FDG-PET, and 91.7%/50%/85.7% for FDG-PET/MRI, without significant difference (p value range 0.13-1). FDG-PET/MRI achieved 100% sensitivity and 100% specificity for a cutoff PCI of 20. Per-region sensitivity and accuracy were lower: 37%/61.8% for MRI, 17.8%/64.3% for FDG-PET, and 52.7%/60.4% for FDG-PET/MRI, with significantly higher sensitivity for FDG-PET/MRI. Per-region specificity was higher for FDG-PET (95%) compared to MRI (78.4%) and FDG-PET/MRI (66.5%).

conclusionFDG-PET/MRI achieved an excellent diagnostic accuracy per-patient and weaker performance per-region for detection of PC. The added value of PET/MRI compared to MRI and FDG-PET remains to be determined.

Indexed as

Fluorodeoxyglucose F18Peritoneal NeoplasmsAdultAgedHumansMagnetic Resonance ImagingMiddle AgedNeoplasm StagingPilot ProjectsPositron-Emission TomographyProspective StudiesRadiopharmaceuticalsFluorodeoxyglucose F18RadiopharmaceuticalsDiffusionFDGMRIPeritoneal carcinomatosisPET

Identifiers

PMID36308554
OpenAlexW4307584027

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.