Evidence map›Paper›PMID 35345517›Full record

ArticleJournal of oncology2022

In-House Validated Map of Lymph Node Stations in a Prospective Cohort of Colorectal Cancer: A Tool for a Better Preoperative Staging.

Patricia Simu, Ioan Jung, Laura Banias, Zsolt Zoltan Fulop, Tivadar Bara, Iunius Simu, Sebastian Andone, Raluca Ioana Stefan-van Staden, Catalin Bogdan Satala, Ioana Halmaciu and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 57% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. 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.

Patricia SimuDepartment of Radiology and Imaging, Clinical County Emergency Hospital, Targu Mures, Romania.ORCID https://orcid.org/0000-0001-5502-3101
Ioan JungDepartment of Pathology, George Emil Palade University of Medicine, Pharmacy, Sciences and Technology, Targu Mures, Romania.ORCID https://orcid.org/0000-0001-6537-2807
Laura BaniasDepartment of Pathology, George Emil Palade University of Medicine, Pharmacy, Sciences and Technology, Targu Mures, Romania.ORCID https://orcid.org/0000-0002-2240-2540
Zsolt Zoltan FulopDepartment of Surgery, George Emil Palade University of Medicine, Pharmacy, Science and Technology, Targu Mures, Romania.ORCID https://orcid.org/0000-0002-0854-5617
Tivadar BaraDepartment of Surgery, George Emil Palade University of Medicine, Pharmacy, Science and Technology, Targu Mures, Romania.ORCID https://orcid.org/0000-0002-1732-5026
Iunius SimuDepartment of Radiology and Imaging, Clinical County Emergency Hospital, Targu Mures, Romania.ORCID https://orcid.org/0000-0003-0341-1692
Sebastian AndoneDepartment of Neurology, George Emil Palade University of Medicine, Pharmacy, Sciences and Technology, Targu Mures, Romania.ORCID https://orcid.org/0000-0002-8055-1739
Raluca Ioana Stefan-van StadenLaboratory of Electrochemistry and PATLAB, National Institute of Research for Electrochemistry and Condensed Matter, Bucharest, Romania.ORCID https://orcid.org/0000-0001-8244-2483
Catalin Bogdan SatalaDepartment of Pathology, George Emil Palade University of Medicine, Pharmacy, Sciences and Technology, Targu Mures, Romania.ORCID https://orcid.org/0000-0002-4466-6360
Ioana HalmaciuDepartment of Radiology and Imaging, Clinical County Emergency Hospital, Targu Mures, Romania.ORCID https://orcid.org/0000-0002-3718-9375
Simona GurzuDepartment of Pathology, George Emil Palade University of Medicine, Pharmacy, Sciences and Technology, Targu Mures, Romania.ORCID https://orcid.org/0000-0003-3968-5118
Universitatea de Medicină, Farmacie, Științe și Tehnologie „George Emil Palade” din Târgu Mureș · RONational Institute of Research and Development for Electrochemistry and Condensed · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Preoperative staging of colorectal cancer (CRC) based on imaging techniques such as computed tomography (CT) or magnetic resonance imaging (MRI) is crucial for identification and then removal of the positive lymph nodes (LNs). The aim of this study was to evaluate the correlation between preoperatively seen morphologic criteria (number, size, shape, structure, borders, or enhancement patterns) and histopathological features of LNs using an in-house validated map of nodal stations. A total of 112 patients with CRC that underwent surgery were preoperatively evaluated by CT scans. The locoregional, intermediate, and central LNs were CT-mapped and then removed during open laparotomy and examined under microscope. The analysis of correlations was interpreted using the suspicious-to-positive ratio (SPR) parameter. The greatest correlation was found in tumors located in the sigmoid colon, descending colon and middle rectum; SPR value was 1.12, 1.18, and 1.26, respectively. SPR proved to be 0.59 for cases of the transverse colon. Regarding the enhancement type, the dotted pattern was mostly correlated with metastatic LNs (OR: 7.84; p < 0.0001), while the homogenous pattern proved a reliable indicator of nonmetastatic LNs (OR: 1.99; p < 0.05). A total of 1809 LNs were harvested, with a median value of 15 ± 1.34 LNs/case. Transdisciplinary approach of CRC focused on pre-, intra-, and postoperatively mapping of LNs might increase the accuracy of detecting metastasized nodes for tumors of the distal colon and middle rectum but not for those of the transverse colon. In addition to morphologic criteria, the enhancement pattern of LNs can be used as a predictor of nodal involvement improving the CT-based preoperative staging.

Identifiers

PMID35345517
PMCPMC8957432
OpenAlexW4221093144

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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.