Evidence map›Paper›PMID 41018392›Full record

ArticleCureus2025

The Prediction of Rare Clear Cell Carcinomas of the Liver via Pathological Component-Based Image Evaluation: A Case Report.

Junya Ohnishi, Shoji Oura, Hiroshi Shintani

Abstract readCase Reports
In one paragraph

Article in Cureus, 2025. 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
–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

2 citing papers in PubMed.

  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

3 authors.

Junya OhnishiDepartment of Surgery, Kishiwada Tokushukai Hospital, Kishiwada, JPN.
Shoji OuraDepartment of Surgery, Kishiwada Tokushukai Hospital, Kishiwada, JPN.
Hiroshi ShintaniDepartment of Surgery, Kishiwada Tokushukai Hospital, Kishiwada, JPN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A 79-year-old woman with a history of hepatitis C was referred to our hospital for detailed examination of her hepatic mass. Computed tomography of the hepatic mass showed very weak ring enhancement only on portal and late-phase images. Ultrasound revealed a well-circumscribed mass with unchanged posterior echoes, a presumed thin capsule, and predominantly iso- to high internal echoes, including focal areas with slightly lower background echoes. Magnetic resonance imaging of the hepatic mass showed low signals on fat-suppressed T1-weighted images, high signals on fat-suppressed T2-weighted images, and faint ring enhancement through early-to-late-phase images on dynamic studies. These image findings led us to speculate that the tumor had both edematous fibrous components in its center and tumor cells with abundant cytoplasm and some kind of intracellular substances, i.e., possible clear cell hepatocellular carcinoma. We, therefore, resected the hepatic mass laparoscopically. The pathological study showed that the mass had a lobulated shape, edematous fibrous components in its central areas, and atypical cells with clear cytoplasm proliferating in both trabecular and solid fashions. Immunostaining of the tumor revealed hepatocyte, arginase 1, CK20, CD10, CA9, and TFE3 negativity, along with AE1/AE3 and CK7 positivity, leading to the diagnosis of clear cell carcinoma of the liver. The patient recovered uneventfully and was discharged on the sixth postoperative day. Diagnostic physicians should note that pathological component-based image evaluation can predict histological characteristics even for very rare clear cell carcinomas of the liver.

Indexed as

abundant cytoplasmclear cell hepatocellular carcinomainternal high echoesretained rim enhancementunchanged posterior echoes

Identifiers

PMID41018392
PMCPMC12465082

What Socratic holds

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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 Socratic graph.