Evidence map›Paper›PMID 30431192›Full record

ArticleNMR in biomedicine2019

MRI evaluation of vulvar squamous-cell carcinoma in fresh radical local excision specimens for cancer localization and prediction of surgical tumor-free margins.

Jan Heidkamp, Petra L M Zusterzeel, Adriana C H van Engen-van Grunsven, Christiaan G Overduin, Andor Veltien, Arie Maat, Maroeska M Rovers, Jurgen J Fütterer

Abstract read
In one paragraph

Article in NMR in biomedicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Ex-vivo 1.5T MR Imaging versus CT in Estimating the Size of the Pathologically Invasive Component of Lung Adenocarcinoma Spectrum Lesions.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2024
    Article
  3. Intraoperative imaging in pathology-assisted surgery.Nature biomedical engineering · 2022
    Review
  4. Article
  5. 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

8 authors.

Jan HeidkampDepartment of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, The Netherlands.ORCID 0000-0002-3335-1486
Petra L M ZusterzeelDepartment of Obstetrics and Gynaecology, Radboud University Medical Center, Nijmegen, The Netherlands.
Adriana C H van Engen-van GrunsvenDepartment of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands.
Christiaan G OverduinDepartment of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, The Netherlands.
Andor VeltienDepartment of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, The Netherlands.
Arie MaatDepartment of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands.
Maroeska M RoversDepartment of Operating Rooms, Radboud University Medical Center, Nijmegen, The Netherlands.
Jurgen J FüttererDepartment of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the surgical treatment of vulvar squamous-cell carcinoma (VSCC), tumor-free margins of 8 mm or more are considered adequate. However, limited perioperative information on the tumor-free margins other than the surgeon's own estimation is available. The purpose of this study was therefore to investigate the feasibility of ex vivo MRI in localizing VSCC and to assess the surgical tumor-free margins in fresh radical local excision (RLE) specimens to guide the surgeon during resections. Nine patients with biopsy-proven VSCC scheduled for RLE were prospectively included. Intact fresh specimens were scanned using a 7 T preclinical MR-scanner. Whole mount H&E-stained slides were obtained every 3 mm and correlated with ex vivo MRI. A pathologist annotated VSCC and minimal tumor-free margins (3 o'clock, 9 o'clock, basal) on the digitalized histological slides. An observer with knowledge of histology (the non-blinded annotation) and a radiologist blinded to histology (the blinded annotation) separately performed annotation of the same features on ex vivo MRI. Linear correlation and agreement of the ex vivo MRI measurements with histology were assessed. Diagnostic performance for VSCC localization and identification of margins less than 8 mm was expressed as positive and negative predictive values (PPV, NPV). In 153 matched ex vivo MRI slices, the observer correctly identified 79/91 margins as less than 8 mm (PPV 87%) and 110/124 margins as 8 mm or greater (NPV 89%). The radiologist correctly annotated absence of VSCC in 73/81 (NPV 90%) and presence in 65/72 (PPV 90%) slices. Sixty-four of 90 margins were correctly identified as less than 8 mm (PPV 71%) and 83/102 margins as 8 mm or greater (NPV 81%). Both non-blinded and blinded annotations were linearly correlated and demonstrated good agreement with histology. Accurate localization of VSCC and measurements of the surgical tumor-free margins in fresh RLE specimens using ex vivo MRI seems feasible. High diagnostic performance in VSCC localization and identification of margins less than 8 mm suggest ex vivo MRI to be clinically applicable.

Indexed as

Magnetic Resonance ImagingMargins of ExcisionAgedAged, 80 and overCarcinoma, Squamous CellFemaleHumansImage Processing, Computer-AssistedMiddle AgedPredictive Value of TestsROC CurveSensitivity and SpecificityVulvar Neoplasmsmargins of excisionMRIvulvar neoplasmswhole mount histology

Identifiers

PMID30431192
PMCPMC6587990

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.