Evidence map›Paper›PMID 37004569›Full record

ArticleEuropean radiology2023

Pancreatic ductal adenocarcinoma (PDAC) regional nodal disease at standard lymphadenectomy: is MRI accurate for identifying node-positive patients?

Sami Adham, Melanie Ferri, Stefanie Y Lee, Natasha Larocque, Omar A Alwahbi, Leyo Ruo, Christian B van der Pol

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Article in European radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Sami AdhamDepartment of Diagnostic Imaging, Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, 711 Concession Street, Hamilton, ON, L8V 1C3, Canada.
Melanie FerriDepartment of Diagnostic Imaging, Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, 711 Concession Street, Hamilton, ON, L8V 1C3, Canada.
Stefanie Y LeeDepartment of Diagnostic Imaging, Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, 711 Concession Street, Hamilton, ON, L8V 1C3, Canada.
Natasha LarocqueDepartment of Radiology, McMaster University, Hamilton, ON, Canada.
Omar A AlwahbiDepartment of Radiology, McMaster University, Hamilton, ON, Canada.
Leyo RuoDepartment of Radiology, McMaster University, Hamilton, ON, Canada.
Christian B van der PolDepartment of Diagnostic Imaging, Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, 711 Concession Street, Hamilton, ON, L8V 1C3, Canada. vanderpolc@hhsc.ca.
McMaster University · CAHamilton Health Sciences · CAJuravinski Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine the accuracy of qualitative and quantitative MRI features for the diagnosis of pathologic regional lymph nodes at standard lymphadenectomy in patients with pancreatic ductal adenocarcinoma (PDAC).

methodsAll adult patients with pancreatic MRI performed from 2011 to 2021 within 3 months of a pancreaticoduodenectomy were eligible for inclusion in this single-center retrospective cohort study. Regional nodes at standard lymphadenectomy were independently reviewed by two fellowship-trained abdominal radiologists for the following qualitative features: heterogeneous T2 signal, round shape, indistinct margin, peri-nodal fat stranding, and restricted diffusion greater than the spleen. Quantitative characteristics including primary tumor size, largest node short- and long-axes length, number of regional nodes, absolute apparent diffusion coefficient (ADC) values, and ADC node-to-spleen signal index were assessed. Analysis was at the patient-level with surgical pathology as the reference standard.

resultsOf 75 patients, 85% (64/75) were positive for regional nodal disease on histopathology. None of the qualitative variables evaluated on MRI was associated with pathologic nodes. Median primary tumor maximum diameter was slightly larger for patients with pathologic nodes compared to those without (18 mm (10-42 mm) vs 16 mm (9-22 mm), p = 0.027). None of the other quantitative features was associated with pathologic nodes. Radiologist opinion was not associated with pathologic nodes (p = 0.520). Interobserver agreement was fair (kappa = 0.257).

conclusionsLymph node morphologic features and radiologist opinion using MRI are of limited value for diagnosing PDAC regional nodal disease. Improved diagnostic techniques are needed given the prognostic implications of pathologic lymph nodes in these patients. KEY POINTS: • Multiple lymph node morphologic features routinely assessed on MRI for malignancies elsewhere in the body are likely not applicable when assessing for pancreatic ductal adenocarcinoma nodal disease. • Interobserver agreement for the presence or absence of pancreatic ductal adenocarcinoma lymph node morphologic features on MRI is fair (kappa = 0.257). • Many more lymph nodes are resected at PDAC standard lymphadenectomy than are detectable on MRI, median 25 vs 5 (p < 0.001), suggesting improved diagnostic techniques are needed to identify PDAC nodal disease.

Indexed as

Carcinoma, Pancreatic DuctalPancreatic NeoplasmsAdultHumansLymph Node ExcisionLymph NodesMagnetic Resonance ImagingRetrospective StudiesCarcinoma, pancreatic ductalDiagnostic techniques, digestive systemLymph nodesMagnetic resonance imagingPancreatic neoplasms

Identifiers

PMID37004569
OpenAlexW4362507117

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Registered trials

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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.