Evidence map›Paper›PMID 42068102›Full record

ArticleCancer medicine2026

Differentiation of Fat-Poor Renal Angiomyolipoma From Clear Cell Renal Cell Carcinoma: Diagnostic Performance of a Novel Type of Color Contrast Enhanced Ultrasound.

Yiman Du, Xuyang Wang, Bo Jiang, Luda Song, Yukun Luo, Qiuyang Li

Abstract read
In one paragraph

Article in Cancer medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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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

6 authors.

Yiman DuDepartment of Ultrasound, the First Medical Centre, Chinese PLA General Hospital, Beijing, China.
Xuyang WangMedical College of Nankai University, Tianjin, China.
Bo JiangDepartment of Ultrasound, the First Medical Centre, Chinese PLA General Hospital, Beijing, China.
Luda SongDepartment of Ultrasound, the First Medical Centre, Chinese PLA General Hospital, Beijing, China.
Yukun LuoDepartment of Ultrasound, the First Medical Centre, Chinese PLA General Hospital, Beijing, China.
Qiuyang LiDepartment of Ultrasound, the First Medical Centre, Chinese PLA General Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe similar imaging characteristics of renal angiomyolipoma without visible fat (RAML.wvf) and clear cell renal cell carcinoma (ccRCC) are notable. Color Parameter Imaging (CPI) has emerged as an advanced contrast-enhanced ultrasound (CEUS) analysis tool that quantifies temporal perfusion dynamics.

objectiveEvaluate the diagnostic value of CPI in distinguishing AML.wovf from ccRCC.

methodsIn this prospective study, 88 patients (35 with AML and 53 with ccRCC) underwent CEUS and CPI. Junior and senior radiologists independently analyzed the CEUS and CPI images. Three diagnostic approaches were compared: (1) CPI alone, (2) CEUS alone, and (3) CEUS combined with CPI. The diagnostic sensitivity, specificity, accuracy, and receiver operating characteristic (ROC) curves of resident and staff radiologists were analyzed.

resultsThe CPI features of ccRCC and AML.wovf analyzed by the junior and senior radiologist groups showed significant differences: the mosaic sign and the Cold sign (both p < 0.001) were more indicative of AML.wovf, whereas the Warm sign was more suggestive of ccRCC (both p < 0.05). The area under the curve (AUC) for the combined CEUS+CPI diagnosis in the junior radiologist group was higher than that for CEUS alone (p = 0.012). Regarding diagnostic confidence between the two radiologist groups, the proportion of uncertain cases in the CPI group was significantly lower than in the CEUS group for both the senior radiologist group and the junior radiologist group (both p < 0.05).

conclusionCPI technology can enhance the diagnostic performance of contrast-enhanced ultrasound in differentiating ccRCC from AML.wovf, particularly offering an advantage in improving the diagnostic accuracy of junior radiologists.

Indexed as

AngiomyolipomaCarcinoma, Renal CellKidney NeoplasmsAdultAgedContrast MediaDiagnosis, DifferentialFemaleHumansMaleMiddle AgedProspective StudiesROC CurveSensitivity and SpecificityUltrasonographyContrast Media

Identifiers

PMID42068102
PMCPMC13135134

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