Evidence map›Paper›PMID 40038215›Full record

ArticleJapanese journal of radiology2025

Comprehensive analysis of calcification frequency and patterns in ovarian tumours using non-contrast CT.

Tsukasa Saida, Miki Yoshida, Saki Shibuki, Toshitaka Ishiguro, Sodai Hoshiai, Masafumi Sakai, Taishi Amano, Ayumi Shikama, Toyomi Satoh, Takahito Nakajima

Abstract read
In one paragraph

Article in Japanese journal of radiology, 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

10 authors.

Tsukasa SaidaDepartment of Radiology, Institute of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, J305-8575, Japan. saida_sasaki_tsukasa@md.tsukuba.ac.jp.ORCID http://orcid.org/0000-0003-4530-7375
Miki YoshidaDepartment of Diagnostic and Interventional Radiology, University of Tsukuba Hospital, 2-1-1 Amakubo, Tsukuba, Ibaraki, 305-8576, Japan.
Saki ShibukiDepartment of Diagnostic and Interventional Radiology, University of Tsukuba Hospital, 2-1-1 Amakubo, Tsukuba, Ibaraki, 305-8576, Japan.
Toshitaka IshiguroDepartment of Radiology, Institute of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, J305-8575, Japan.
Sodai HoshiaiDepartment of Radiology, Institute of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, J305-8575, Japan.
Masafumi SakaiDepartment of Radiology, Institute of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, J305-8575, Japan.
Taishi AmanoDepartment of Diagnostic and Interventional Radiology, University of Tsukuba Hospital, 2-1-1 Amakubo, Tsukuba, Ibaraki, 305-8576, Japan.
Ayumi ShikamaDepartment of Obstetrics and Gynecology, Institute of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8575, Japan.
Toyomi SatohDepartment of Obstetrics and Gynecology, Institute of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8575, Japan.
Takahito NakajimaDepartment of Radiology, Institute of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, J305-8575, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate the frequency and patterns of calcification in ovarian tumours and evaluate their association with various histological types and malignancy grades.

methodsThis retrospective study included patients who underwent non-contrast CT between March 2015 and March 2024 and had pathologically confirmed ovarian tumours. CT scans were reviewed for the presence and patterns of calcification (punctate, linear, coarse, and amorphous) by three radiologists. Statistical analysis was performed using the Fisher-Freeman-Halton exact test with Bonferroni correction.

resultsThis study included 328 patients (mean age, 55 years; range, 18-88 years). Significant differences in calcification frequency were observed among major tumour categories (p < 0.001), with with germ cell tumours being more calcified and metastases less calcified. Similarly, a significant difference was also found among epithelial tumours (p = 0.005), where mucinous and Brenner tumours were more calcified, whereas serous tumours were less calcified. Benign epithelial tumours showed a significantly higher frequency of calcification than borderline tumours and carcinomas (p < 0.001). When comparing the calcification patterns observed among epithelial tumours, significant differences were found for all calcification patterns: punctate (p = 0.024), linear (p < 0.001), coarse (p < 0.001), and amorphous (p < 0.001). The linear pattern was more common in mucinous tumours, whereas the amorphous pattern was more common in serous and Brenner tumours. Among non-epithelial tumours, germ cell tumours frequently exhibited liner and many calcifications, and immature teratomas were characterised by a mixture of punctate, linear, and coarse calcifications. Granulosa cells and metastatic tumours did not exhibit calcification.

conclusionsAmong epithelial tumours, mucinous and Brenner tumours had a significantly higher frequency of calcification, and benign tumours had a significantly higher frequency of calcification. Amorphous patterns were significantly more common in serous and Brenner tumours, while linear patterns were significantly more common in mucinous tumours.

Indexed as

CalcinosisOvarian NeoplasmsTomography, X-Ray ComputedAdolescentAdultAgedAged, 80 and overFemaleHumansMiddle AgedOvaryRetrospective StudiesYoung AdultCalcificationComputed tomographyOvaryTumour

Identifiers

PMID40038215
PMCPMC12204870

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.