Evidence map›Paper›PMID 33129352›Full record

Trial reportCancer imaging : the official publication of the International Cancer Imaging Society2020

Rectal cancer: a methodological approach to matching PET/MRI to histopathology.

Miriam K Rutegård, Malin Båtsman, Lennart Blomqvist, Martin Rutegård, Jan Axelsson, Ingrid Ljuslinder, Jörgen Rutegård, Richard Palmqvist, Fredrik Brännström, Patrik Brynolfsson and 1 more

Registry-linked trialOpen access · goldAbstract readClinical Trial
In one paragraph

Trial report 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. It is linked to trial NCT03846882 (The Value of PET / MRI for the Assessment of Lymph Node Metastasis and Other Prognostic Factors in Patients With Rectal Cancer), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 35% 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.

NCT03846882 unknown statusnot on this map

The Value of PET / MRI for the Assessment of Lymph Node Metastasis and Other Prognostic Factors in Patients With Rectal Cancer

TypeobservationalSponsorRegion VästerbottenRan2015 to 2023Enrolled100ConditionsRectal Cancer, Lymph Node Metastases
3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  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

11 authors at 2 institutions in 1 country.

Miriam K RutegårdDepartment of Radiation Sciences, Diagnostic Radiology, Umeå University, Umeå, Sweden. miriam.rutegard@umu.se.ORCID http://orcid.org/0000-0003-3510-2165
Malin BåtsmanDepartment of Medical Biosciences, Pathology, Umeå University, Umeå, Sweden.
Lennart BlomqvistDepartment of Radiation Sciences, Diagnostic Radiology, Umeå University, Umeå, Sweden.
Martin RutegårdDepartment of Surgical and Perioperative Sciences, Surgery, Umeå University, Umeå, Sweden.
Jan AxelssonDepartment of Radiation Sciences, Diagnostic Radiology, Umeå University, Umeå, Sweden.
Ingrid LjuslinderDepartment of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden.
Jörgen RutegårdDepartment of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden.
Richard PalmqvistDepartment of Medical Biosciences, Pathology, Umeå University, Umeå, Sweden.
Fredrik BrännströmDepartment of Surgical and Perioperative Sciences, Surgery, Umeå University, Umeå, Sweden.
Patrik BrynolfssonDepartment of Radiation Sciences, Diagnostic Radiology, Umeå University, Umeå, Sweden.
Katrine RiklundDepartment of Radiation Sciences, Diagnostic Radiology, Umeå University, Umeå, Sweden.
Umeå University · SEKarolinska Institutet · SE

Funding

Medicinska fakulteten, Umeå Universitet VLL-757781
6 · The paper itself

Abstract

purposeTo enable the evaluation of locoregional disease in the on-going RECTOPET (REctal Cancer Trial on PET/MRI/CT) study; a methodology to match mesorectal imaging findings to histopathology is presented, along with initial observations.

methodsFDG-PET/MRI examinations were performed in twenty-four consecutively included patients with rectal adenocarcinoma. In nine patients, of whom five received neoadjuvant treatment, a postoperative MRI of the surgical specimen was performed. The pathological cut-out was performed according to clinical routine with the addition of photo documentation of each slice of the surgical specimen, meticulously marking the location, size, and type of pathology of each mesorectal finding. This allowed matching individual nodal structures from preoperative MRI, via the specimen MRI, to histopathology.

resultsPreoperative MRI identified 197 mesorectal nodal structures, of which 92 (47%) could be anatomically matched to histopathology. Of the matched nodal structures identified in both MRI and histopathology, 25% were found to be malignant. These malignant structures consisted of lymph nodes (43%), tumour deposits (48%), and extramural venous invasion (9%). One hundred eleven nodal structures (55%) could not be matched anatomically. Of these, 97 (87%) were benign lymph nodes, and 14 (13%) were malignant nodal structures. Five were malignant lymph nodes, and nine were tumour deposits, all of which had a short axis diameter < 5 mm.

conclusionsWe designed a method able to anatomically match and study the characteristics of individual mesorectal nodal structures, enabling further research on the impact of each imaging modality. Initial observations suggest that small malignant nodal structures assessed as lymph nodes in MRI often comprise other forms of mesorectal tumour spread.

trial registrationClinical Trials Identifier: NCT03846882 .

Indexed as

AdultAgedFemaleHumansLymphatic MetastasisMagnetic Resonance ImagingMaleMiddle AgedMultimodal ImagingNeoplasm StagingPositron-Emission TomographyRectal NeoplasmsEMVILymph nodesRectal neoplasmsStagingTumour deposits

Identifiers

PMID33129352
PMCPMC7603757
OpenAlexW3097730419

What OpenQuestion holds

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LicenceCC BY
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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.