Evidence map›Paper›PMID 37190241›Full record

ArticleCancers2023

MRI-Based Tumor Necrosis Depiction in Pancreatic Ductal Adenocarcinoma: Can It Predict Tumor Aggressiveness?

Mark A Anderson, David E Knipp, Yoshifumi Noda, Sophia C Kamran, Vinit Baliyan, Hamed Kordbacheh, Theodore S Hong, Avinash Kambadakone

Abstract read
In one paragraph

Article in Cancers, 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
–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. Article
  2. Article
  3. Article
  4. Acinar cell carcinoma of the pancreas: can CT and MR features predict survival?Cancer imaging : the official publication of the International Cancer Imaging Society · 2025
    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.

Mark A AndersonDepartment of Radiology, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA .ORCID 0000-0002-6144-9093
David E KnippDepartment of Radiology, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA .
Yoshifumi NodaDepartment of Radiology, Gifu University, 1-1-1 Yanagido Street, Gifu City 501-1194, Japan.
Sophia C KamranDepartment of Radiation Oncology, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA.ORCID 0000-0001-9283-6515
Vinit BaliyanDepartment of Radiology, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA .
Hamed KordbachehDepartment of Radiology, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA .
Theodore S HongDepartment of Radiation Oncology, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA.
Avinash KambadakoneDepartment of Radiology, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA .

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to investigate whether tumor necrosis depicted on contrast-enhanced abdominal MRI can predict tumor aggressiveness in pancreatic ductal adenocarcinoma (PDAC). In this retrospective analysis, we included 71 patients with pathology-proven PDAC who underwent contrast-enhanced MRI from 2006 to 2020. Assessment for the presence/absence of imaging detected necrosis was performed on T2-weighted and contrast-enhanced T1-weighted images. Primary tumor characteristics, regional lymphadenopathy, metastases, stage, and overall survival were analyzed. Fisher's exact and Mann-Whitney

Indexed as

magnetic resonance imagingnecrosispancreatic ductal adenocarcinoma

Identifiers

PMID37190241
PMCPMC10136978

What OpenQuestion holds

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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.