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Article: Pretreatment PET/CT imaging of angiogenesis based on 18F-RGD tracer uptake may predict antiangiogenic response
Title | Pretreatment PET/CT imaging of angiogenesis based on 18F-RGD tracer uptake may predict antiangiogenic response |
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Authors | |
Keywords | 18 F-RGD PET/CT Integrin αvβ3 Malignancies Antiangiogenic therapy |
Issue Date | 2018 |
Citation | European Journal of Nuclear Medicine and Molecular Imaging, 2018, p. 940-947 How to Cite? |
Abstract | © 2018, Springer-Verlag GmbH Germany, part of Springer Nature. Purpose: To explore the relationship between metabolic uptake of the 18F-ALF-NOTA-PRGD2 (18F-RGD) tracer on positron emission tomography/computerized tomography (PET/CT) and the antiangiogenic effect of apatinib in patients with solid malignancies. Materials and patients: Patients with measurable lesions scheduled for second- or third-line single-agent therapy with apatinib were eligible for this prospective clinical trial. All patients underwent 18F-RGD PET/CT examination before the start of treatment. Standardized uptake values (SUVs) of contoured tumor lesions were computed and compared using independent sample t-tests or the Mann–Whitney U test. Receiver-operating characteristic (ROC) curve analysis was used to determine accuracy in predicting response. Survival curves were compared using the Kaplan–Meier method. Results: Of 38 patients who consented to study participation, 25 patients with 42 measurable lesions met the criteria for inclusion in this response assessment analysis. The median follow-up time was 3 months (range, 1–10 months), and the median progression-free survival (PFS) was 3 months (95% confidence interval, 1.04–4.96). The SUVpeak and SUVmean were significantly higher in responding tumors than in non-responding tumors (4.98 ± 2.34 vs 3.59 ± 1.44, p = 0.048; 3.71 ± 1.15 vs 2.95 ± 0.49, P = 0.036). SUVmax did not differ between responding tumors and non-responding tumors (6.58 ± 3.33 vs 4.74 ± 1.83, P = 0.078). An exploratory ROC curve analysis indicated that SUVmean [area under the ROC curve (AUC) = 0.700] was a better parameter than SUVpeak (AUC = 0.689) for predicting response. Using a threshold value of 3.82, high SUVmean at baseline was associated with improved PFS (5.0 vs. 3.4 months, log-rank P = 0.036). Conclusion: 18F-RGD uptake on PET/CT imaging pretreatment may predict the response to antiangiogenic therapy, with higher 18F-RGD uptake in tumors predicting a better response to apatinib therapy. |
Persistent Identifier | http://hdl.handle.net/10722/267112 |
ISSN | 2023 Impact Factor: 8.6 2023 SCImago Journal Rankings: 2.280 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Li, Li | - |
dc.contributor.author | Ma, Li | - |
dc.contributor.author | Shang, Dongping | - |
dc.contributor.author | Liu, Zhiguo | - |
dc.contributor.author | Yu, Qingxi | - |
dc.contributor.author | Wang, Suzhen | - |
dc.contributor.author | Teng, Xuepeng | - |
dc.contributor.author | Zhang, Qiang | - |
dc.contributor.author | Hu, Xudong | - |
dc.contributor.author | Zhao, Wei | - |
dc.contributor.author | Hou, Wenhong | - |
dc.contributor.author | Jin, Jianyue | - |
dc.contributor.author | Kong, Feng Ming (Spring) | - |
dc.contributor.author | Yu, Jinming | - |
dc.contributor.author | Yuan, Shuanghu | - |
dc.date.accessioned | 2019-01-31T07:20:33Z | - |
dc.date.available | 2019-01-31T07:20:33Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | European Journal of Nuclear Medicine and Molecular Imaging, 2018, p. 940-947 | - |
dc.identifier.issn | 1619-7070 | - |
dc.identifier.uri | http://hdl.handle.net/10722/267112 | - |
dc.description.abstract | © 2018, Springer-Verlag GmbH Germany, part of Springer Nature. Purpose: To explore the relationship between metabolic uptake of the 18F-ALF-NOTA-PRGD2 (18F-RGD) tracer on positron emission tomography/computerized tomography (PET/CT) and the antiangiogenic effect of apatinib in patients with solid malignancies. Materials and patients: Patients with measurable lesions scheduled for second- or third-line single-agent therapy with apatinib were eligible for this prospective clinical trial. All patients underwent 18F-RGD PET/CT examination before the start of treatment. Standardized uptake values (SUVs) of contoured tumor lesions were computed and compared using independent sample t-tests or the Mann–Whitney U test. Receiver-operating characteristic (ROC) curve analysis was used to determine accuracy in predicting response. Survival curves were compared using the Kaplan–Meier method. Results: Of 38 patients who consented to study participation, 25 patients with 42 measurable lesions met the criteria for inclusion in this response assessment analysis. The median follow-up time was 3 months (range, 1–10 months), and the median progression-free survival (PFS) was 3 months (95% confidence interval, 1.04–4.96). The SUVpeak and SUVmean were significantly higher in responding tumors than in non-responding tumors (4.98 ± 2.34 vs 3.59 ± 1.44, p = 0.048; 3.71 ± 1.15 vs 2.95 ± 0.49, P = 0.036). SUVmax did not differ between responding tumors and non-responding tumors (6.58 ± 3.33 vs 4.74 ± 1.83, P = 0.078). An exploratory ROC curve analysis indicated that SUVmean [area under the ROC curve (AUC) = 0.700] was a better parameter than SUVpeak (AUC = 0.689) for predicting response. Using a threshold value of 3.82, high SUVmean at baseline was associated with improved PFS (5.0 vs. 3.4 months, log-rank P = 0.036). Conclusion: 18F-RGD uptake on PET/CT imaging pretreatment may predict the response to antiangiogenic therapy, with higher 18F-RGD uptake in tumors predicting a better response to apatinib therapy. | - |
dc.language | eng | - |
dc.relation.ispartof | European Journal of Nuclear Medicine and Molecular Imaging | - |
dc.subject | 18 F-RGD PET/CT | - |
dc.subject | Integrin αvβ3 | - |
dc.subject | Malignancies | - |
dc.subject | Antiangiogenic therapy | - |
dc.title | Pretreatment PET/CT imaging of angiogenesis based on 18F-RGD tracer uptake may predict antiangiogenic response | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1007/s00259-018-4143-8 | - |
dc.identifier.scopus | eid_2-s2.0-85053449716 | - |
dc.identifier.hkuros | 304621 | - |
dc.identifier.spage | 940 | - |
dc.identifier.epage | 947 | - |
dc.identifier.eissn | 1619-7089 | - |
dc.identifier.isi | WOS:000463717900017 | - |
dc.identifier.issnl | 1619-7070 | - |