Evidence map›Paper›PMID 40437404›Full record

ArticleBMC urology2025

Usefulness of apparent diffusion coefficient values and magnetic resonance imaging histogram analysis for identifying histological types of preoperative testicular tumors.

Yuka Yasuda, Akiyoshi Osaka, Keita Izumi, Toshiyuki Iwahata, Akinori Nakayama, Kazunori Kubota, Kazutaka Saito

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Article in BMC urology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

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7 authors.

Yuka YasudaDepartment of Urology, Dokkyo Medical University Saitama Medical Center, Koshigaya, Japan. yukayasu@dokkyomed.ac.jp.
Akiyoshi OsakaDepartment of Urology, Dokkyo Medical University Saitama Medical Center, Koshigaya, Japan.
Keita IzumiDepartment of Urology, Dokkyo Medical University Saitama Medical Center, Koshigaya, Japan.
Toshiyuki IwahataDepartment of Urology, Dokkyo Medical University Saitama Medical Center, Koshigaya, Japan.
Akinori NakayamaDepartment of Urology, Dokkyo Medical University Saitama Medical Center, Koshigaya, Japan.
Kazunori KubotaDepartment of Radiology, Dokkyo Medical University Saitama Medical Center, Koshigaya, Japan.
Kazutaka SaitoDepartment of Urology, Dokkyo Medical University Saitama Medical Center, Koshigaya, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOnly a few studies have performed histogram analysis for the differential diagnosis of testicular tumors. Therefore, the aim of this study was to evaluate the ability of magnetic resonance imaging, including diffusion-weighted imaging with apparent diffusion coefficient values, to differentiate between the histological types of testicular tumors.

methodsOf the 156 testicular tumors diagnosed at our hospital between January 2010 and July 2023, 65 cases diagnosed with magnetic resonance imaging were included. Tumors were categorized as seminoma, non-seminoma, and malignant lymphoma. Apparent diffusion coefficient values were calculated and analyzed using the ratio to non-tumor testes and histograms according to tumor subtypes.

resultsAmong the 65 cases, 46, 14, and 5 entailed seminomas, non-seminomas, and malignant lymphomas, respectively. The apparent diffusion coefficient value ratio of seminomas (0.745 ± 0.132) was significantly higher than that of malignant lymphomas (0.531 ± 0.119, p = 0.013), and the apparent diffusion coefficient value ratios of non-seminomas (1.197 ± 0.430) were significantly higher than those of seminomas and malignant lymphomas (p = 0.0013 and p < 0.001, respectively). Seminomas and malignant lymphomas had significantly higher kurtosis values (8.55 ± 5.76 and 18.11 ± 5.22, respectively) than non-seminomas (4.92 ± 3.85, p = 0.012 and p = 0.0022, respectively). Malignant lymphomas had significantly higher kurtosis values than seminomas (p = 0.0123). Seminomas and malignant lymphomas had significantly higher skewness values (1.77 ± 1.00 and 3.12 ± 0.28, respectively) than non-seminomas (0.52 ± 1.17, p = 0.0016 and p < 0.001, respectively). Malignant lymphomas had higher skewness than seminomas (p < 0.001).

conclusionsThe present results demonstrate the efficacy of magnetic resonance imaging with apparent diffusion coefficient values and histograms in the differentiation of testicular tumor subtypes. A pre-operative diagnosis of testicular tumor subtypes may enable more effective management of testicular tumors, including pre-operative counseling and early treatment planning.

Indexed as

Diffusion Magnetic Resonance ImagingLymphomaMagnetic Resonance ImagingSeminomaTesticular NeoplasmsAdolescentAdultAgedDiagnosis, DifferentialHumansMaleMiddle AgedRetrospective StudiesYoung AdultApparent diffusion coefficientMagnetic resonance imagingMalignant lymphomaPreoperative testicular tumorSeminoma

Identifiers

PMID40437404
PMCPMC12121282

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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.