PSMA PET能否检测原发性前列腺癌组织中PSMA表达的肿瘤内异质性?[68Ga]Ga-PSMA-11和[18F]PSMA-1007的分析

IF 8.6 1区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING European Journal of Nuclear Medicine and Molecular Imaging Pub Date : 2025-01-17 DOI:10.1007/s00259-025-07078-5
Philipp Moritz Adrian Waibel, Ievgen Glavynskyi, Tobias Fechter, Michael Mix, Felix Kind, August Sigle, Cordula Annette Jilg, Christian Gratzke, Martin Werner, Oliver Schilling, Peter Bronsert, Martin Thomas Freitag, Constantinos Zamboglou, Anca-Ligia Grosu, Simon Konrad Benedikt Spohn
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引用次数: 0

摘要

目的前列腺特异性膜抗原正电子发射断层扫描(PSMA PET)是前列腺癌(PCa)无创诊断的一种很有前途的候选方法。本研究评估了PET示踪剂[68Ga]Ga-PSMA-11或[18F]PSMA-1007是否能够描述肿瘤内组织学PSMA表达的异质性。方法前瞻性纳入35例活检证实的原发性前列腺癌患者,无转移性疾病证据,也没有先前的干预措施。所有患者均行PSMA PET联合计算机断层扫描(CT),其中[68Ga]Ga-PSMA-11(队列I, 20例)或[18F]PSMA-1007(队列II, 15例),随后行根治性前列腺切除术。标本经离体CT扫描及组织学处理。在数字化的全贴装前列腺切片上,人工定义不同形态的PCa区域,并在人工智能(AI)的帮助下计算免疫组化PSMA表达的H-Score。在离体CT上统一分割h值相近的PCa区域。在PSMA PET-CT上共配准后,计算PSMA表达对平均和最大标准化摄取值(SUVmean和SUVmax)的Spearman系数。此外,还分析了PSMA PET中共同登记的肿瘤面积与总肿瘤体积(GTV)的一致性。结果32例患者纳入最终分析。对于组织学PCa区域,免疫组织化学PSMA表达与SUVmean和SUVmax显著相关(p < 0.001, p = 0.001)。在大于400 μm²的肿瘤组织中,H-Score与SUVmean / SUVmax之间存在近似的线性相关(p < 0.001)。与PSMA表达极低的肿瘤区域相比,PSMA表达强的肿瘤区域在共登记后的PSMA PET中显示出更大的GTV重叠(p < 0.01)。两个示踪剂队列之间无显著差异(p = 0.72)。结论PSMA PET检测[68Ga]Ga-PSMA-11或[18F]PSMA-1007均能检测到前列腺癌病变组织中PSMA表达的变化,从而实现生物靶向放疗。
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Can PSMA PET detect intratumour heterogeneity in histological PSMA expression of primary prostate cancer? Analysis of [68Ga]Ga-PSMA-11 and [18F]PSMA-1007

Purpose

Prostate-specific membrane-antigen positron emission tomography (PSMA PET) is a promising candidate for non-invasive characterization of prostate cancer (PCa). This study evaluated whether PET with tracers [68Ga]Ga-PSMA-11 or [18F]PSMA-1007 is capable to depict intratumour heterogeneity of histological PSMA expression.

Methods

Thirty-five patients with biopsy-proven primary PCa without evidence of metastatic disease nor prior interventions were prospectively enrolled. All patients underwent PSMA PET combined with computer tomography (CT) with either [68Ga]Ga-PSMA-11 (cohort I, 20 patients) or [18F]PSMA-1007 (cohort II, 15 patients) followed by radical prostatectomy. Specimens were scanned by ex-vivo CT and histologically prepared. On digitized whole-mount prostate sections, PCa areas with different morphologies were manually defined and H-Score of immunohistochemical PSMA expression was calculated with assistance by artificial intelligence (AI). PCa areas with similar H-Score were unified in segmentation on ex-vivo CT. After co-registration on PSMA PET-CT, Spearman’s coefficients of PSMA expression to mean and maximum standardized uptake value (SUVmean and SUVmax) were calculated. Furthermore, the agreement of the co-registered tumour areas to gross tumour volume (GTV) in PSMA PET was analysed.

Results

Thirty-two patients were included in the final analysis. For histological PCa areas, immunohistochemical PSMA expression correlated significantly to SUVmean and SUVmax (p < 0.001, p = 0.001). An approximate linear correlation between H-Score and SUVmean / SUVmax was found for tumour areas larger than 400 μm² in histology (p < 0.001). Tumour areas with strong PSMA expression showed a significantly larger overlap to GTV in PSMA PET after co-registration than tumour areas with very low PSMA expression (p < 0.01). No significant differences were found between the two tracer cohorts (p = 0.72).

Conclusion

PSMA PET with both [68Ga]Ga-PSMA-11 or [18F]PSMA-1007 is able to detect changes in histological PSMA expression within PCa lesions allowing biologically targeted radiotherapy.

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来源期刊
CiteScore
15.60
自引率
9.90%
发文量
392
审稿时长
3 months
期刊介绍: The European Journal of Nuclear Medicine and Molecular Imaging serves as a platform for the exchange of clinical and scientific information within nuclear medicine and related professions. It welcomes international submissions from professionals involved in the functional, metabolic, and molecular investigation of diseases. The journal's coverage spans physics, dosimetry, radiation biology, radiochemistry, and pharmacy, providing high-quality peer review by experts in the field. Known for highly cited and downloaded articles, it ensures global visibility for research work and is part of the EJNMMI journal family.
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