Evidence map›Paper›PMID 40152813›Full record

ArticleJournal of surgical oncology2025

CT Scans Understage Lymph Nodes in Gastric and Gastroesophageal Adenocarcinoma.

Morgan F Pettigrew, Priya Kumar, Skylar L Nahi, Scott I Reznik, Suntrea T G Hammer, Matthew R Porembka, Sam C Wang

Abstract read
In one paragraph

Article in Journal of surgical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Clinicopathologic features and prognostic impact of late recurrence after gastrectomy for gastric cancer.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2026
    Article
  3. 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

7 authors.

Morgan F PettigrewDivision of Surgical Oncology, Department of Surgery, University of Texas Southwestern Medical Center, Dallas, Texas, USA.ORCID http://orcid.org/0000-0002-6031-3194
Priya KumarDivision of Surgical Oncology, Department of Surgery, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Skylar L NahiDivision of Surgical Oncology, Department of Surgery, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Scott I ReznikDepartment of Cardiovascular and Thoracic Surgery, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Suntrea T G HammerDepartment of Pathology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Matthew R PorembkaDivision of Surgical Oncology, Department of Surgery, University of Texas Southwestern Medical Center, Dallas, Texas, USA.ORCID http://orcid.org/0000-0003-1596-0058
Sam C WangDivision of Surgical Oncology, Department of Surgery, University of Texas Southwestern Medical Center, Dallas, Texas, USA.

Funding

Determining the role of germline CDH1 variants in gastric cancer outcome disparities in Hispanic/Latino patientsR37CA265967 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI Sam C. Wang · 2022 to 2026
$3.6M
Using artificial intelligence to discover spatial, genomic, and pathologic biomarkers to guide and augment immune checkpoint inhibitor therapy for gastric cancerR01CA276690 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI Tae Hyun Hwang, Sam C. Wang · 2024 to 2026
$2.0M
NCI NIH HHS R01 CA276690NCI NIH HHS R37 CA265967This study was supported by American College of Surgeons Resident Research Scholarship and National Cancer Institute (3R37CA265967-01A1S1) and National Cancer Institute (R37CA265967, R01CA276690).
6 · The paper itself

Abstract

BACKGROUND AND

objectivesThe presence of lymph node metastases in patients with gastric and gastroesophageal junction (GEJ) adenocarcinoma provides prognostic information and guides treatment decisions. We sought to determine the sensitivity of computed tomography (CT) imaging for clinical nodal staging in patients with resectable gastric and GEJ adenocarcinoma and determine a lymph node size cut-off to optimize diagnostic accuracy.

methodsWe performed a retrospective review of patients who underwent curative-intent resection for gastric or GEJ adenocarcinoma at our institution between 2010 and 2023. We reviewed CT scan images performed immediately before resection and measured lymph nodes in the short axis to identify patients with lymph nodes larger than the radiologic upper limit of normal. We compared histopathologic data from resection specimens to CT scans to determine pathologic concordance for metastatic involvement of lymph nodes and calculated the sensitivity and specificity of CT scans to identify nodal metastases. We used the largest lymph node measurement from each scan to construct a receiver operating characteristic (ROC) curve and calculated Youden's J Index to determine the optimal lymph node size cut-off.

resultsWe identified 192 consecutive patients who underwent resection during the study period and had preoperative CT scans available for review. 72 patients (38%) had diffuse or mixed type tumors, and 85 patients (44%) had intestinal-type tumors. 157 patients (82%) underwent neoadjuvant chemotherapy or chemoradiation. 110 patients (57%) had pathologic node-positive disease and in this cohort, 27 patients (25%) had lymph nodes deemed radiographically enlarged. The sensitivity of preoperative CT scans for nodal metastases was 25%, and specificity was 83%. Based on the ROC curve, an optimal lymph node size cutoff of 6.5 mm was identified. At this cutoff, the estimated sensitivity was 47%, and the estimated specificity was 72%. When patients were stratified by Lauren histology, the AUC for intestinal-type tumors was significantly better than for diffuse or mixed-type tumors (p = 0.02). The area under the ROC curve for patients with diffuse or mixed type tumors was 0.51 indicating lymph node size on CT scan was no better than random chance for diagnosis of lymph node metastases.

conclusionsCT scans are not sensitive to identify nodal metastases in gastric and GEJ adenocarcinoma using current radiologic guidelines. While a lower lymph node size cutoff may improve sensitivity, this does not benefit patients with diffuse or mixed-type tumors. Since CT scans understage a large proportion of patients with gastric and GEJ cancers, techniques to improve clinical nodal staging in this population are needed.

Indexed as

AdenocarcinomaEsophageal NeoplasmsEsophagogastric JunctionLymph NodesStomach NeoplasmsTomography, X-Ray ComputedAdultAgedAged, 80 and overFemaleHumansLymphatic MetastasisMaleMiddle AgedNeoplasm StagingPrognosisneoplasm stagingstomach neoplasmstomography

Identifiers

PMID40152813
PMCPMC12232095

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

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.