Evidence map›Paper›PMID 42726804›Full record

ArticlePloS one2026

The coefficient of variation of CT values for predicting lymph node metastasis in extrahepatic cholangiocarcinoma.

Naokazu Chiba, Yuta Abe, Hirotaka Kojima, Ryota Suda, Masashi Nakagawa, Shigeto Ochiai, Takahiro Gunji, Toru Sano, Satoshi Tabuchi, Tetsuo Ishizaki and 1 more

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Naokazu ChibaDepartment of Digestive and Transplantation Surgery, Tokyo Medical University Hachioji Medical Center, Tokyo, Japan.ORCID https://orcid.org/0000-0002-1846-5987
Yuta AbeDepartment of Surgery, Keio University School of Medicine, Tokyo, Japan.
Hirotaka KojimaDepartment of Digestive and Transplantation Surgery, Tokyo Medical University Hachioji Medical Center, Tokyo, Japan.
Ryota SudaDepartment of Digestive and Transplantation Surgery, Tokyo Medical University Hachioji Medical Center, Tokyo, Japan.
Masashi NakagawaDepartment of Digestive and Transplantation Surgery, Tokyo Medical University Hachioji Medical Center, Tokyo, Japan.
Shigeto OchiaiDepartment of Digestive and Transplantation Surgery, Tokyo Medical University Hachioji Medical Center, Tokyo, Japan.
Takahiro GunjiDepartment of Digestive and Transplantation Surgery, Tokyo Medical University Hachioji Medical Center, Tokyo, Japan.
Toru SanoDepartment of Digestive and Transplantation Surgery, Tokyo Medical University Hachioji Medical Center, Tokyo, Japan.
Satoshi TabuchiDepartment of Digestive and Transplantation Surgery, Tokyo Medical University Hachioji Medical Center, Tokyo, Japan.
Tetsuo IshizakiDepartment of Digestive and Transplantation Surgery, Tokyo Medical University Hachioji Medical Center, Tokyo, Japan.
Shigeyuki KawachiDepartment of Digestive and Transplantation Surgery, Tokyo Medical University Hachioji Medical Center, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Preoperative prediction of lymph node metastasis (LNM) in extrahepatic cholangiocarcinoma (ECC) is crucial for surgical strategies and prognosis, as current imaging methods are insufficient. A total of 149 ECC patients who underwent curative resection were retrospectively analyzed. We measured the Coefficient of Variation (CV) of CT values, ADC of MRI, and SUVmax of PET/CT from multiple lymph nodes. Diagnostic performance for LNM prediction was evaluated using ROC curve analysis. The CV of CT values was the most powerful independent predictor of LNM. Its AUC (0.829) was superior to MRI ADC (0.666) and PET/CT SUVmax (0.701). The CV of CT values showed a sensitivity of 72.8%, specificity of 72.9%, and accuracy of 72.9%. In conclusion, The CV of CT values is a promising and effective parameter for preoperatively predicting LNM in ECC. This can potentially improve patient selection for neoadjuvant therapies and surgical planning.

Indexed as

Bile Duct NeoplasmsCholangiocarcinomaLymphatic MetastasisTomography, X-Ray ComputedAdultAgedFemaleHumansLymph NodesMagnetic Resonance ImagingMaleMiddle AgedPositron Emission Tomography Computed TomographyPrognosisRetrospective StudiesROC Curve

Identifiers

PMID42726804
PMCPMC13567827

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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.