不适合移植的大 B 细胞淋巴瘤二线使用 axicabtagene ciloleucel:ALYCANTE 最终分析
Second-line axicabtagene ciloleucel in large B-cell lymphoma ineligible for transplantation: ALYCANTE final analysis.
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Diagnostic and prognostic value of pretreatment PET/CT in extranodal natural killer/T-cell lymphoma: a retrospective multicenter study.
Diagnostic and prognostic value of pretreatment PET/CT in extranodal natural killer/T-cell lymphoma: a retrospective multicenter study.
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PET/CT 在确定 ENKTL 的 BMI 方面提供了更高程度的精确性。包含 PET/CT 参数的列线图模型可以预测生存概率,并可能有助于应用适当的个体化治疗。
本研究旨在评估正电子发射断层扫描联合计算机断层扫描(PET/CT)检测骨髓浸润(BMI)的效用及其在结外自然杀伤/T细胞淋巴瘤(ENKTL)患者中的预测价值。
这项多中心研究纳入了接受治疗前PET/CT和骨髓活检(BMB)的ENKTL患者。评估了PET/CT和BMB对BMI的特异性、敏感性、阴性预测值(NPV)和阳性预测值(PPV)。采用多因素分析确定预测参数以构建列线图。
从四家医院共识别出748例患者,其中80例(10.7%)在PET/CT上显示局灶性骨骼病变,50例(6.7%)BMB阳性。当以BMB作为金标准时,PET/CT诊断BMI的特异性、敏感性、PPV和NPV分别为93.8%、74.0%、46.3%和98.1%。在BMB阴性病例亚组中,PET/CT阳性个体的OS显著差于PET/CT阴性患者。根据多因素分析中显著风险因素创建的列线图模型在预测生存概率方面表现良好。
The objective of this research was to assess the utility of positron emission tomography combined with computed tomography (PET/CT) to detect bone marrow invasion (BMI) and the predictive value of PET/CT in extranodal natural killer/T-cell lymphoma (ENKTL) patients.
This multicentre study enrolled ENKTL patients who underwent pretherapy PET/CT and bone marrow biopsy (BMB). The specificity, sensitivity, negative predictive value (NPV), and positive predictive value (PPV) of PET/CT and BMB for BMI were evaluated. Multivariate analysis was used to identify predictive parameters for constructing a nomogram.
Seven hundred and forty-eight patients were identified from four hospitals, with eighty (10.7%) having focal skeletal lesions on PET/CT and fifty (6.7%) having positive BMB. When BMB is considered as the gold standard, the specificity, sensitivity, PPV, and NPV of PET/CT for diagnosing BMI were found to be 93.8%, 74.0%, 46.3%, and 98.1%, respectively. PET/CT-positive individuals showed significantly worse OS than PET/CT-negative patients in the subgroup of BMB-negative cases. The nomogram model created according to the significant risk factors from multivariate analysis performed well in predicting survival probability.
PET/CT offers a superior degree of precision for determining BMI in ENKTL. A nomogram model including the parameters of PET/CT can predict survival probability and may help in applying appropriate personalized therapy.
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