記述言語：英語   出版者・発行元：Springer  

Objective: This study aimed to develop an explainable radiomics model for stratifying prostate cancer (PCa) patients with high-risk disease via investigation of the association between cell density (CD) in the PCa region on histopathological images and multiparametric MR (mpMR) radiomics features. Materials and methods: 137,970 radiomic features were calculated from mpMR images (101 PCa regions of 44 patients), and joint histograms (JHs) were derived from dynamic contrast-enhanced (DCE) images for each PCa region. The association between CD on histopathological images and its corresponding mpMR radiomic features in PCa regions for various grade groups and the three risk groups was evaluated using Spearman’s correlation coefficient. To validate the potential of the radiomic-feature-CD association, we developed the radiomics model for stratifying patients into low/intermediate-risk and high-risk groups. Results: There were moderate correlations of the CD with a DCE-based texture feature (WV_HH_1st_GLSZM_ZP) (ρ = 0.609, p = 0.024) and DCE-JH feature (JH_WV_HL_1st versus 5th‐1st_Hist_STD) (ρ = 0.609, p = 0.024) in the high-risk group. The radiomics model had an accuracy of 0.920 for stratifying the patients of a test dataset into the low/intermediate-risk and high-risk groups. Conclusion: The association between CD and mpMR features can be leveraged to develop the explainable radiomics for the high-risk stratification of patients with PCa.

DOI： 10.1007/s10334-025-01250-6

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CiNii Research

記述言語：英語   出版者・発行元：John Wiley & Sons Australia, Ltd  

AJCC/UICC TNM第8版で提案された前立腺癌における直径2mm以下のリンパ節微小転移(LN+)の有用性を、リンパ節最大腫瘍径(MTD)カットオフ値を用いて多施設共同後ろ向き研究で検討した。根治的前立腺摘除術(RP)および骨盤リンパ節郭清(PLND)後にLN+であった前立腺癌患者282例を、MTDカットオフ値2mm以下群(MTD以下群)76例(診断時年齢中央値68.0歳)と2mm超群(MTD超群)206例(同中央値68.0歳)に分け、無去勢抵抗性生存期間(CRFS)、無転移生存期間(MFS)、癌特異的生存期間(CSS)、全生存期間(OS)を比較した。MTD超群ではCRFSとMFSが有意に低下し、CSSとOSは不良であった。PLND数が14以上の場合、MTD以下群は去勢抵抗性前立腺癌を発症した患者はいなかった。多変量解析では、郭清リンパ節数、RP Gleasonパターン5、LN+におけるMTDがCRFSを有意に予測可能であった。RP後の直径2mm以下のリンパ節微小転移患者の予後は良好であった。

記述言語：日本語