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Mileva M, Marin G, Levillain H, Artigas C, Van Bogaert C, Marin C, Danieli R, Deleporte A, Picchia S, Stathopoulos K, Jungels C, Vanderlinden B, Paesmans M, Ameye L, Critchi G, Taraji-Schiltz L, Velghe C, Wimana Z, Bali M, Hendlisz A, Flamen P, Karfis I. Prediction of 177Lu-DOTATATE PRRT Outcome Using Multimodality Imaging in Patients with Gastroenteropancreatic Neuroendocrine Tumors: Results from a Prospective Phase II LUMEN Study. J Nucl Med 2024; 65:236-244. [PMID: 38164576 DOI: 10.2967/jnumed.123.265987] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 10/25/2023] [Indexed: 01/03/2024] Open
Abstract
Our objective was to predict the outcome of peptide receptor radionuclide therapy (PRRT) using multimodality imaging and tumor dosimetry on gastroenteropancreatic neuroendocrine tumor (GEP-NET) lesions and patients. Methods: This prospective study included patients with progressive GEP-NETs. Treatment consisted of 4 cycles of 7.4 GBq of 177Lu-DOTATATE. Imaging parameters were measured on 68Ga-DOTATATE PET/CT (SUVmax/mean, somatostatin receptor [SSTR] tumor volume [TV], total lesion SSTR expression, and tumor-to-blood and tumor-to-spleen ratios), 18F-FDG PET/CT (SUVmax/mean, metabolically active TV, and total lesion glycolysis), and diffusion-weighted MRI (apparent diffusion coefficient) in a maximum of 5 target lesions per patient at approximately 10 wk after each injection. Tumor dosimetry was performed using SPECT/CT at 3 time points for every cycle. Baseline imaging parameters, their relative changes after PRRT cycle 1 (C1), and the tumor-absorbed dose at C1 were correlated with lesion morphologic outcome. The average values of the imaging parameters and the minimal, maximal, and mean C1 tumor-absorbed dose in each patient were tested for association with progression-free survival (PFS) and best objective response (RECIST 1.1). Results: In the 37 patients, the median PFS was 28 mo. Eleven of the 37 (30%) achieved a partial response (RECIST 1.1). After a median follow-up of 57 mo, the median time to lesion progression had not been reached in 84 morphologically evaluable lesions, with only 12 (14%) progressing (size increase ≥ 20% from baseline). Patients receiving a minimal C1 dose of 35 Gy in all target lesions exhibited a significantly longer PFS (48.1 vs. 26.2 mo; hazard ratio, 0.37; 95% CI, 0.17-0.82; P = 0.02). Volumetric 68Ga-DOTATATE PET parameters correlated with lesion and patient outcome: patients with an SSTR TV decrease of more than 10% after C1 had a longer PFS (51.3 vs. 22.8 mo; hazard ratio, 0.35; 95% CI, 0.16-0.75; P = 0.003). There was no statistical evidence of an association between other dosimetric or imaging parameters and the lesion or patient outcome. Conclusion: Minimal tumor-absorbed dose at C1 is predictive of outcome in patients with GEP-NETs treated with PRRT, providing a basis for personalized dosimetry-guided treatment strategies. An SSTR TV decrease after C1 could be used for early therapy response assessment as a predictor of PRRT outcome.
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Affiliation(s)
- Magdalena Mileva
- Nuclear Medicine Department, Institut Jules Bordet, ENETS Centre of Excellence, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium
| | - Gwennaëlle Marin
- Medical Physics Department, Institut Jules Bordet, ENETS Centre of Excellence, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium
| | - Hugo Levillain
- Medical Physics Department, Institut Jules Bordet, ENETS Centre of Excellence, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium
| | - Carlos Artigas
- Nuclear Medicine Department, Institut Jules Bordet, ENETS Centre of Excellence, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium
| | - Camille Van Bogaert
- Nuclear Medicine Department, CUB-Hôpital Erasme, ENETS Centre of Excellence, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium
| | - Clémentine Marin
- Medical Physics Department, Institut Jules Bordet, ENETS Centre of Excellence, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium
| | - Rachele Danieli
- Medical Physics Department, Institut Jules Bordet, ENETS Centre of Excellence, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium
| | - Amelie Deleporte
- Medical Oncology Department, Institut Jules Bordet, ENETS Centre of Excellence, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium
| | - Simona Picchia
- Radiology Department, Institut Jules Bordet, ENETS Centre of Excellence, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium
| | - Konstantinos Stathopoulos
- Radiology Department, Institut Jules Bordet, ENETS Centre of Excellence, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium
| | - Christiane Jungels
- Medical Oncology Department, Institut Jules Bordet, ENETS Centre of Excellence, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium
| | - Bruno Vanderlinden
- Medical Physics Department, Institut Jules Bordet, ENETS Centre of Excellence, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium
| | - Marianne Paesmans
- Data Center, Institut Jules Bordet, ENETS Centre of Excellence, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium; and
| | - Lieveke Ameye
- Data Center, Institut Jules Bordet, ENETS Centre of Excellence, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium; and
| | - Gabriela Critchi
- Nuclear Medicine Department, Institut Jules Bordet, ENETS Centre of Excellence, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium
| | - Loubna Taraji-Schiltz
- Nuclear Medicine Department, Institut Jules Bordet, ENETS Centre of Excellence, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium
| | - Chloe Velghe
- Data Center, Institut Jules Bordet, ENETS Centre of Excellence, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium; and
| | - Zéna Wimana
- Nuclear Medicine Department, Institut Jules Bordet, ENETS Centre of Excellence, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium
- Radiopharmacy Department, Institut Jules Bordet, ENETS Centre of Excellence, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium
| | - Maria Bali
- Radiology Department, Institut Jules Bordet, ENETS Centre of Excellence, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium
| | - Alain Hendlisz
- Medical Oncology Department, Institut Jules Bordet, ENETS Centre of Excellence, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium
| | - Patrick Flamen
- Nuclear Medicine Department, Institut Jules Bordet, ENETS Centre of Excellence, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium
| | - Ioannis Karfis
- Nuclear Medicine Department, Institut Jules Bordet, ENETS Centre of Excellence, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium;
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Danieli R, Stella M, Leube J, Tran-Gia J, Marin C, Uribe CF, Vanderlinden B, Reynaert N, Flamen P, Levillain H. Quantitative 177Lu SPECT/CT imaging for personalized dosimetry using a ring-shaped CZT-based camera. EJNMMI Phys 2023; 10:64. [PMID: 37853247 PMCID: PMC10584798 DOI: 10.1186/s40658-023-00586-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 10/12/2023] [Indexed: 10/20/2023] Open
Abstract
BACKGROUND Dosimetry after radiopharmaceutical therapy with 177Lu (177Lu-RPT) relies on quantitative SPECT/CT imaging, for which suitable reconstruction protocols are required. In this study, we characterized for the first time the quantitative performance of a ring-shaped CZT-based camera using two different reconstruction algorithms: an ordered subset expectation maximization (OSEM) and a block sequential regularized expectation maximization (BSREM) combined with noise reduction regularization. This study lays the foundations for the definition of a reconstruction protocol enabling accurate dosimetry for patients treated with 177Lu-RPT. METHODS A series of 177Lu-filled phantoms were acquired on a StarGuide™ (GE HealthCare), with energy and scatter windows centred at 208 (± 6%) keV and 185 (± 5%) keV, respectively. Images were reconstructed with the manufacturer implementations of OSEM (GE-OSEM) and BSREM (Q.Clear) algorithms, and various combinations of iterations and subsets. Additionally, the manufacturer-recommended Q.Clear-based reconstruction protocol was evaluated. Quantification accuracy, measured as the difference between the SPECT-based and the radionuclide calibrator-based activity, and noise were evaluated in a large cylinder. Recovery coefficients (RCs) and spatial resolution were assessed in a NEMA IEC phantom with sphere inserts. The reconstruction protocols considered suitable for clinical applications were tested on a cohort of patients treated with [177Lu]Lu-PSMA-I&T. RESULTS The accuracy of the activity from the cylinder, although affected by septal penetration, was < 10% for all reconstructions. Both algorithms featured improved spatial resolution and higher RCs with increasing updates at the cost of noise build-up, but Q.Clear outperformed GE-OSEM in reducing noise accumulation. When the reconstruction parameters were carefully selected, similar values for noise (~0.15), spatial resolution (~1 cm) and RCs were found, irrespective of the reconstruction algorithm. Analogue results were found in patients. CONCLUSIONS Accurate activity quantification is possible when imaging 177Lu with StarGuide™. However, the impact of septal penetration requires further investigations. GE-OSEM is a valid alternative to the recommended Q.Clear reconstruction algorithm, featuring comparable performances assessed on phantoms and patients.
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Affiliation(s)
- Rachele Danieli
- Department of Medical Physics, Institut Jules Bordet, Hôpital Universitaire de Bruxelles (H.U.B), Université Libre de Bruxelles (ULB), Brussels, Belgium.
- Radiophysics and MRI Physics Laboratory, Université Libre de Bruxelles (ULB), Brussels, Belgium.
| | - Martina Stella
- Radiophysics and MRI Physics Laboratory, Université Libre de Bruxelles (ULB), Brussels, Belgium
- GE HealthCare, Diegem, Belgium
| | - Julian Leube
- Department of Nuclear Medicine, University Hospital Würzburg, Würzburg, Germany
| | - Johannes Tran-Gia
- Department of Nuclear Medicine, University Hospital Würzburg, Würzburg, Germany
| | - Clementine Marin
- Department of Medical Physics, Institut Jules Bordet, Hôpital Universitaire de Bruxelles (H.U.B), Université Libre de Bruxelles (ULB), Brussels, Belgium
| | | | - Bruno Vanderlinden
- Department of Medical Physics, Institut Jules Bordet, Hôpital Universitaire de Bruxelles (H.U.B), Université Libre de Bruxelles (ULB), Brussels, Belgium
- Radiophysics and MRI Physics Laboratory, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Nick Reynaert
- Department of Medical Physics, Institut Jules Bordet, Hôpital Universitaire de Bruxelles (H.U.B), Université Libre de Bruxelles (ULB), Brussels, Belgium
- Radiophysics and MRI Physics Laboratory, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Patrick Flamen
- Department of Nuclear Medicine, Institut Jules Bordet, Hôpital Universitaire de Bruxelles (H.U.B), Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Hugo Levillain
- Department of Medical Physics, Institut Jules Bordet, Hôpital Universitaire de Bruxelles (H.U.B), Université Libre de Bruxelles (ULB), Brussels, Belgium
- Radiophysics and MRI Physics Laboratory, Université Libre de Bruxelles (ULB), Brussels, Belgium
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Bucalau AM, Collette B, Tancredi I, Vouche M, Pezzullo M, Bouziotis J, Moreno-Reyes R, Trotta N, Levillain H, Van Laethem JL, Verset G. Clinical impact of 99mTc-MAA SPECT/CT-based personalized predictive dosimetry in selective internal radiotherapy: a real-life single-center experience in unresectable HCC patients. Eur J Hybrid Imaging 2023; 7:12. [PMID: 37414964 PMCID: PMC10326228 DOI: 10.1186/s41824-023-00171-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2023] [Accepted: 06/22/2023] [Indexed: 07/08/2023] Open
Abstract
BACKGROUND Recent data demonstrated that personalized dosimetry-based selective internal radiotherapy (SIRT) is associated with better outcome for unresectable hepatocellular carcinoma (HCC). AIM We aim to evaluate the contribution of personalized predictive dosimetry (performed with Simplicity90® software) in our population of HCC patients by comparing them to our historical cohort whose activity was determined by standard dosimetry. METHODS This is a retrospective, single-center study conducted between February 2016 and December 2020 that included patients with HCC who received SIRT after simulation based on either standard dosimetry (group A) or, as of December 2017, on personalized dosimetry (group B). Primary endpoints were best overall response (BOR) and objective response rate (ORR) evaluated by mRECIST at 3 months. Safety and toxicity profiles were evaluated at 1- and 3-months post-treatment. For group A we compared the activity to be administered determined a posteriori using Simplicit90Y® and the activity actually administered determined by the standard approach. RESULTS Between February 2016 and December 2020, 66 patients received 69 simulations leading to 40 treatments. The median follow-up time was equal for both groups, 21 months (range 3-55) in group A and 21 months (range 4-39) in group B. The per patient analysis revealed a significant benefit of personalized predictive dosimetry in terms of better overall response at 3 months (80% vs. 33.3%, p = 0.007) and at 6 months (77.8% vs. 22.2%, p = 0.06). This trend was found in the analysis by nodule with a response rate according to mRECIST of 87.5% for personalized dosimetry versus 68.4% for standard dosimetry at 3 months, p = 0.24. Only one grade 3 biological toxicity (hyperbilirubinemia) was noted in group A. The comparison between the administered activity and the recommended activity recalculated a posteriori using Simplicit90Y® showed that the vast majority of patients who progressed (83.33%) received less activity than that recommended by the personalized approach or an inadequate distribution of the administered activity. CONCLUSIONS Our study aligns to recent literature and confirms that the use of personalized dosimetry allows a better selection of HCC patients who can benefit from SIRT, and consequently, improves the effectiveness of this treatment.
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Affiliation(s)
- Ana-Maria Bucalau
- Department of Gastroenterology, Hepatopancreatology and Digestive Oncology, Hôpital Erasme/Bordet Institute-Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles (ULB), Brussels, Belgium.
| | - Benoît Collette
- Department of Nuclear Medicine, Hôpital Erasme/Bordet Institute-Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles (ULB), Brussels, Belgium.
| | - Illario Tancredi
- Department of Radiology, Hôpital Erasme/Bordet Institute-Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Michael Vouche
- Department of Radiology, Hôpital Erasme/Bordet Institute-Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Martina Pezzullo
- Department of Radiology, Hôpital Erasme/Bordet Institute-Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Jason Bouziotis
- Department of Biomedical Research, Hôpital Erasme/Bordet Institute-Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Rodrigo Moreno-Reyes
- Department of Nuclear Medicine, Hôpital Erasme/Bordet Institute-Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Nicola Trotta
- Department of Nuclear Medicine, Hôpital Erasme/Bordet Institute-Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Hugo Levillain
- Department of Nuclear Medicine, Hôpital Erasme/Bordet Institute-Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Jean Luc Van Laethem
- Department of Gastroenterology, Hepatopancreatology and Digestive Oncology, Hôpital Erasme/Bordet Institute-Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Gontran Verset
- Department of Gastroenterology, Hepatopancreatology and Digestive Oncology, Hôpital Erasme/Bordet Institute-Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles (ULB), Brussels, Belgium
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Paquier Z, Chao SL, Bregni G, Sanchez AV, Guiot T, Dhont J, Gulyban A, Levillain H, Sclafani F, Reynaert N, Bali MA. Pre-trial quality assurance of diffusion-weighted MRI for radiomic analysis and the role of harmonisation. Phys Med 2022; 103:138-146. [DOI: 10.1016/j.ejmp.2022.10.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 09/30/2022] [Accepted: 10/08/2022] [Indexed: 11/17/2022] Open
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Paquier Z, Chao SL, Acquisto A, Fenton C, Guiot T, Dhont J, Levillain H, Gulyban A, Bali MA, Reynaert N. Radiomics software comparison using digital phantom and patient data: IBSI-compliance does not guarantee concordance of feature values. Biomed Phys Eng Express 2022; 8. [PMID: 36049399 DOI: 10.1088/2057-1976/ac8e6f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Accepted: 09/01/2022] [Indexed: 11/12/2022]
Abstract
Introduction Radiomics is a promising imaging-based tool which could enhance clinical observation and identify representative features. To avoid different interpretations, the Image Biomarker Standardisation Initiative (IBSI) imposed conditions for harmonisation. This study evaluates IBSI-compliant radiomics applications against a known benchmark and clinical datasets for agreements. Materials and methods The applications compared were RadiomiX Research Toolbox, LIFEx v7.0.0, and syngo.via Frontier Radiomics v1.2.5 (based on PyRadiomics v2.1). Basic assessment included comparing feature names and their formulas. The IBSI digital phantom was used for evaluation against reference values. For agreement evaluation (including same software but different versions), two clinical datasets were used: 27 contrast-enhanced computed tomography (CECT) of colorectal liver metastases and 39 magnetic resonance imaging (MRI) of breast cancer, including intravoxel incoherent motion and dynamic contrast-enhanced (DCE) MRI. The lower 95% confidence interval of intraclass correlation coefficient was used to define excellent agreement (>0.9). Results The three radiomics applications share 41 (3 shape, 8 intensity, 30 texture) out of 172, 84 and 110 features for RadiomiX, LIFEx and syngo.via, respectively, as well as wavelet filtering. The naming convention is, however, different between them. Syngo.via had excellent agreement with the IBSI benchmark, while LIFEx and RadiomiX showed slightly worse agreement. Excellent reproducibility was achieved for shape features only, while intensity and texture features varied considerably with the imaging type. For intensity, excellent agreement ranged from 46% for the DCE maps to 100% for CECT, while this lowered to 44% and 73% for texture features, respectively. Wavelet features produced the greatest variation between applications, with an excellent agreement for only 3% to 11% features. Conclusion Even with IBSI-compliance, the reproducibility of features between radiomics applications is not guaranteed. To evaluate variation, quality assurance of radiomics applications should be performed and repeated when updating to a new version or adding a new modality.
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Affiliation(s)
- Zelda Paquier
- Medical Physics, Institut Jules Bordet, Rue Meylemeersch 90, Bruxelles, 1070, BELGIUM
| | - Shih-Li Chao
- Medical Physics, Institut Jules Bordet, Rue Meylemeersch 90, Bruxelles, 1070, BELGIUM
| | - Anaïs Acquisto
- Radiology, Institut Jules Bordet, Rue Meylemeersch 90, Bruxelles, 1070, BELGIUM
| | - Chifra Fenton
- Radiology, Erasmus Hospital, Rte de Lennik 808, Bruxelles, 1070, BELGIUM
| | - Thomas Guiot
- Medical Physics, Institut Jules Bordet, Rue Meylemeersch 90, Bruxelles, 1070, BELGIUM
| | - Jennifer Dhont
- Medical Physics, Institut Jules Bordet, Rue Meylemeersch 90, Bruxelles, 1070, BELGIUM
| | - Hugo Levillain
- Medical Physics, Institut Jules Bordet, Rue Meylemeersch 90, Bruxelles, 1070, BELGIUM
| | - Akos Gulyban
- Medical Physics, Institut Jules Bordet, Rue Meylemeersch 90, Bruxelles, 1070, BELGIUM
| | | | - Nick Reynaert
- Medical Physics, Institut Jules Bordet, Rue Meylemeersch 90, Bruxelles, 1070, BELGIUM
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Levillain H, Burghelea M, Derijckere ID, Guiot T, Gulyban A, Vanderlinden B, Vouche M, Flamen P, Reynaert N. Correction to: Combined quality and dose-volume histograms for assessing the predictive value of 99mTc-MAA SPECT/CT simulation for personalizing radioembolization treatment in liver metastatic colorectal cancer. EJNMMI Phys 2021; 8:9. [PMID: 33502601 PMCID: PMC7840825 DOI: 10.1186/s40658-021-00356-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Affiliation(s)
- Hugo Levillain
- Medical Physics Department, Jules Bordet Institute, Université Libre de Bruxelles, 1 Rue Héger-Bordet, B-1000, Brussels, Belgium. .,Nuclear Medicine Department, Jules Bordet Institute, Université Libre de Bruxelles, 1 Rue Héger-Bordet, 1000, Brussels, Belgium.
| | - Manuela Burghelea
- Medical Physics Department, Jules Bordet Institute, Université Libre de Bruxelles, 1 Rue Héger-Bordet, B-1000, Brussels, Belgium
| | - Ivan Duran Derijckere
- Nuclear Medicine Department, Jules Bordet Institute, Université Libre de Bruxelles, 1 Rue Héger-Bordet, 1000, Brussels, Belgium
| | - Thomas Guiot
- Medical Physics Department, Jules Bordet Institute, Université Libre de Bruxelles, 1 Rue Héger-Bordet, B-1000, Brussels, Belgium
| | - Akos Gulyban
- Medical Physics Department, Jules Bordet Institute, Université Libre de Bruxelles, 1 Rue Héger-Bordet, B-1000, Brussels, Belgium
| | - Bruno Vanderlinden
- Medical Physics Department, Jules Bordet Institute, Université Libre de Bruxelles, 1 Rue Héger-Bordet, B-1000, Brussels, Belgium
| | - Michael Vouche
- Department of Radiology, Jules Bordet Institute, Université Libre de Bruxelles, 1 Rue Héger-Bordet, 1000, Brussels, Belgium
| | - Patrick Flamen
- Nuclear Medicine Department, Jules Bordet Institute, Université Libre de Bruxelles, 1 Rue Héger-Bordet, 1000, Brussels, Belgium
| | - Nick Reynaert
- Medical Physics Department, Jules Bordet Institute, Université Libre de Bruxelles, 1 Rue Héger-Bordet, B-1000, Brussels, Belgium
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Levillain H, Bagni O, Deroose CM, Dieudonné A, Gnesin S, Grosser OS, Kappadath SC, Kennedy A, Kokabi N, Liu DM, Madoff DC, Mahvash A, Martinez de la Cuesta A, Ng DCE, Paprottka PM, Pettinato C, Rodríguez-Fraile M, Salem R, Sangro B, Strigari L, Sze DY, de Wit van der Veen BJ, Flamen P. International recommendations for personalised selective internal radiation therapy of primary and metastatic liver diseases with yttrium-90 resin microspheres. Eur J Nucl Med Mol Imaging 2021; 48:1570-1584. [PMID: 33433699 PMCID: PMC8113219 DOI: 10.1007/s00259-020-05163-5] [Citation(s) in RCA: 112] [Impact Index Per Article: 37.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Accepted: 12/08/2020] [Indexed: 12/22/2022]
Abstract
Purpose A multidisciplinary expert panel convened to formulate state-of-the-art recommendations for optimisation of selective internal radiation therapy (SIRT) with yttrium-90 (90Y)-resin microspheres. Methods A steering committee of 23 international experts representing all participating specialties formulated recommendations for SIRT with 90Y-resin microspheres activity prescription and post-treatment dosimetry, based on literature searches and the responses to a 61-question survey that was completed by 43 leading experts (including the steering committee members). The survey was validated by the steering committee and completed anonymously. In a face-to-face meeting, the results of the survey were presented and discussed. Recommendations were derived and level of agreement defined (strong agreement ≥ 80%, moderate agreement 50%–79%, no agreement ≤ 49%). Results Forty-seven recommendations were established, including guidance such as a multidisciplinary team should define treatment strategy and therapeutic intent (strong agreement); 3D imaging with CT and an angiography with cone-beam-CT, if available, and 99mTc-MAA SPECT/CT are recommended for extrahepatic/intrahepatic deposition assessment, treatment field definition and calculation of the 90Y-resin microspheres activity needed (moderate/strong agreement). A personalised approach, using dosimetry (partition model and/or voxel-based) is recommended for activity prescription, when either whole liver or selective, non-ablative or ablative SIRT is planned (strong agreement). A mean absorbed dose to non-tumoural liver of 40 Gy or less is considered safe (strong agreement). A minimum mean target-absorbed dose to tumour of 100–120 Gy is recommended for hepatocellular carcinoma, liver metastatic colorectal cancer and cholangiocarcinoma (moderate/strong agreement). Post-SIRT imaging for treatment verification with 90Y-PET/CT is recommended (strong agreement). Post-SIRT dosimetry is also recommended (strong agreement). Conclusion Practitioners are encouraged to work towards adoption of these recommendations. Supplementary Information The online version contains supplementary material available at 10.1007/s00259-020-05163-5.
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Affiliation(s)
- Hugo Levillain
- Department of Nuclear Medicine, Jules Bordet Institute, Université Libre de Bruxelles, Rue Héger-Bordet 1, B-1000, Brussels, Belgium.
| | - Oreste Bagni
- Nuclear Medicine Unit, Santa Maria Goretti Hospital, Latina, Italy
| | - Christophe M Deroose
- Nuclear Medicine, University Hospitals Leuven and Nuclear Medicine & Molecular Imaging, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - Arnaud Dieudonné
- Department of Nuclear Medicine, Hôpital Beaujon, AP-HP.Nord, DMU DREAM and Inserm U1149, Clichy, France
| | - Silvano Gnesin
- Institute of Radiation Physics, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Oliver S Grosser
- Department of Radiology and Nuclear Medicine, University Hospital Magdeburg, Germany and Research Campus STIMULATE, Otto-von-Guericke University, Magdeburg, Germany
| | - S Cheenu Kappadath
- Department of Imaging Physics, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Nima Kokabi
- Division of Interventional Radiology and Image Guided Medicine, Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - David M Liu
- Department of Radiology, Vancouver General Hospital, University of British Columbia, Vancouver, BC, Canada
| | - David C Madoff
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA
| | - Armeen Mahvash
- Department of Interventional Radiology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - David C E Ng
- Department of Nuclear Medicine and Molecular Imaging, Singapore General Hospital, Singapore, Singapore
| | - Philipp M Paprottka
- Department of Interventional Radiology, Technical University Munich, Munich, Germany
| | - Cinzia Pettinato
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | | | - Riad Salem
- Department of Radiology, Northwestern University, Chicago, IL, USA
| | - Bruno Sangro
- Clinica Universidad de Navarra-IDISNA and CIBEREHD, Pamplona, Spain
| | - Lidia Strigari
- Department of Medical Physics, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Daniel Y Sze
- Department of Interventional Radiology, Stanford University School of Medicine, Palo Alto, CA, USA
| | | | - Patrick Flamen
- Department of Nuclear Medicine, Jules Bordet Institute, Université Libre de Bruxelles, Rue Héger-Bordet 1, B-1000, Brussels, Belgium
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8
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Levillain H, Burghelea M, Derijckere ID, Guiot T, Gulyban A, Vanderlinden B, Vouche M, Flamen P, Reynaert N. Combined quality and dose-volume histograms for assessing the predictive value of 99mTc-MAA SPECT/CT simulation for personalizing radioembolization treatment in liver metastatic colorectal cancer. EJNMMI Phys 2020; 7:75. [PMID: 33315160 PMCID: PMC7736450 DOI: 10.1186/s40658-020-00345-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Accepted: 11/30/2020] [Indexed: 01/19/2023] Open
Abstract
Background The relationship between the mean absorbed dose delivered to the tumour and the outcome in liver metastases from colorectal cancer patients treated with radioembolization has already been presented in several studies. The optimization of the personalized therapeutic activity to be administered is still an open challenge. In this context, how well the 99mTc-MAA SPECT/CT predicts the absorbed dose delivered by radioembolization is essential. This work aimed to analyse the differences between predictive 99mTc-MAA-SPECT/CT and post-treatment 90Y-microsphere PET/CT dosimetry at different levels. Dose heterogeneity was compared voxel-to-voxel using the quality-volume histograms, subsequently used to demonstrate how it could be used to identify potential clinical parameters that are responsible for quantitative discrepancies between predictive and post-treatment dosimetry. Results We analysed 130 lesions delineated in twenty-six patients. Dose-volume histograms were computed from predictive and post-treatment dosimetry for all volumes: individual lesion, whole tumoural liver (TL) and non-tumoural liver (NTL). For all dose-volume histograms, the following indices were extracted: D90, D70, D50, Dmean and D20. The results showed mostly no statistical differences between predictive and post-treatment dosimetries across all volumes and for all indices. Notably, the analysis showed no difference in terms of Dmean, confirming the results from previous studies. Quality factors representing the spread of the quality-volume histogram (QVH) curve around 0 (ideal QF = 0) were determined for lesions, TL and NTL. QVHs were classified into good (QF < 0.18), acceptable (0.18 ≤ QF < 0.3) and poor (QF ≥ 0.3) correspondence. For lesions and TL, dose- and quality-volume histograms are mostly concordant: 69% of lesions had a QF within good/acceptable categories (40% good) and 65% of TL had a QF within good/acceptable categories (23% good). For NTL, the results showed mixed results with 48% QF within the poor concordance category. Finally, it was demonstrated how QVH analysis could be used to define the parameters that predict the significant differences between predictive and post-treatment dose distributions. Conclusion It was shown that the use of the QVH is feasible in assessing the predictive value of 99mTc-MAA SPECT/CT dosimetry and in estimating the absorbed dose delivered to liver metastases from colorectal cancer via 90Y-microspheres. QVH analyses could be used in combination with DVH to enhance the predictive value of 99mTc-MAA SPECT/CT dosimetry and to assist personalized activity prescription. Supplementary Information The online version contains supplementary material available at 10.1186/s40658-020-00345-4.
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Affiliation(s)
- Hugo Levillain
- Medical Physics Department, Jules Bordet Institute, Université Libre de Bruxelles, 1 Rue Héger-Bordet, B-1000, Brussels, Belgium. .,Nuclear Medicine Department, Jules Bordet Institute, Université Libre de Bruxelles, 1 Rue Héger-Bordet, 1000, Brussels, Belgium.
| | - Manuela Burghelea
- Medical Physics Department, Jules Bordet Institute, Université Libre de Bruxelles, 1 Rue Héger-Bordet, B-1000, Brussels, Belgium
| | - Ivan Duran Derijckere
- Nuclear Medicine Department, Jules Bordet Institute, Université Libre de Bruxelles, 1 Rue Héger-Bordet, 1000, Brussels, Belgium
| | - Thomas Guiot
- Medical Physics Department, Jules Bordet Institute, Université Libre de Bruxelles, 1 Rue Héger-Bordet, B-1000, Brussels, Belgium
| | - Akos Gulyban
- Medical Physics Department, Jules Bordet Institute, Université Libre de Bruxelles, 1 Rue Héger-Bordet, B-1000, Brussels, Belgium
| | - Bruno Vanderlinden
- Medical Physics Department, Jules Bordet Institute, Université Libre de Bruxelles, 1 Rue Héger-Bordet, B-1000, Brussels, Belgium
| | - Michael Vouche
- Department of Radiology, Jules Bordet Institute, Université Libre de Bruxelles, 1 Rue Héger-Bordet, 1000, Brussels, Belgium
| | - Patrick Flamen
- Nuclear Medicine Department, Jules Bordet Institute, Université Libre de Bruxelles, 1 Rue Héger-Bordet, 1000, Brussels, Belgium
| | - Nick Reynaert
- Medical Physics Department, Jules Bordet Institute, Université Libre de Bruxelles, 1 Rue Héger-Bordet, B-1000, Brussels, Belgium
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9
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Burghelea M, Levillain H, Vanderlinden B, Guiot T, Gulyban A, Reynaert N, Flamen P. PO-1677: Quality Volume Histogram concept for personalized radioembolization based on MAA SPECTCT simulation. Radiother Oncol 2020. [DOI: 10.1016/s0167-8140(21)01695-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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10
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Karfis I, Marin G, Levillain H, Drisis S, Muteganya R, Critchi G, Taraji-Schiltz L, Guix CA, Shaza L, Elbachiri M, Mans L, Machiels G, Hendlisz A, Flamen P. Prognostic value of a three-scale grading system based on combining molecular imaging with 68Ga-DOTATATE and 18F-FDG PET/CT in patients with metastatic gastroenteropancreatic neuroendocrine neoplasias. Oncotarget 2020; 11:589-599. [PMID: 32110279 PMCID: PMC7021233 DOI: 10.18632/oncotarget.27460] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2019] [Accepted: 01/13/2020] [Indexed: 02/07/2023] Open
Abstract
We investigated on the added prognostic value of a three-scale combined molecular imaging with 68Ga-DOTATATE and 18F-FDG PET/CT, (compared to Ki-67 based histological grading), in gastroenteropancreatic neuroendocrine neoplasia patients. 85 patients with histologically proven metastatic gastroenteropancreatic neuroendocrine neoplasias, who underwent combined PET/CT imaging were retrospectively evaluated. Highest Ki-67 value available at time of 18F-FDG PET/CT was recorded. Patients were classified according to World Health Organization/European Neuroendocrine Tumor Society histological grades (G1, G2, G3) and into three distinct imaging categories (C1: all lesions are 18F-FDG negative/68Ga-DOTATATE positive, C2: patients with one or more 18F-FDG positive lesions, all of them 68Ga-DOTATATE positive, C3: patients with one or more 18F-FDG positive lesions, at least one of them 68Ga-DOTATATE negative). The primary endpoint of the study was Progression-Free Survival, assessed from the date of 18F-FDG PET/CT to the date of radiological progression according to Response Evaluation Criteria In Solid Tumors version 1.1. Classification according to histological grade did not show significant statistical difference in median Progression-Free Survival between G1 and G2 but was significant between G2 and G3 patients. In contrast, median Progression-Free Survival was significantly higher in C1 compared to C2 and in C2 compared to C3 patients, revealing three distinctive imaging categories, each with highly distinctive prognosis. Our three-scale combined 68Ga-DOTATATE/18F-FDG PET imaging classification holds high prognostic value in patients with metastatic gastroenteropancreatic neuroendocrine neoplasias.
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Affiliation(s)
- Ioannis Karfis
- Nuclear Medicine Department, Institut Jules Bordet-Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Gwennaëlle Marin
- Nuclear Medicine Department, Institut Jules Bordet-Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Hugo Levillain
- Nuclear Medicine Department, Institut Jules Bordet-Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Stylianos Drisis
- Radiology/Medical Imaging Department, Institut Jules Bordet-Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Raoul Muteganya
- Nuclear Medicine Department, Institut Jules Bordet-Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Gabriela Critchi
- Nuclear Medicine Department, Institut Jules Bordet-Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Loubna Taraji-Schiltz
- Nuclear Medicine Department, Institut Jules Bordet-Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Carlos Artigas Guix
- Nuclear Medicine Department, Institut Jules Bordet-Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Leila Shaza
- Digestive Oncology Department, Institut Jules Bordet-Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Meriem Elbachiri
- Digestive Oncology Department, Institut Jules Bordet-Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Laura Mans
- Digestive Oncology Department, Institut Jules Bordet-Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Godelieve Machiels
- Digestive Oncology Department, Institut Jules Bordet-Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Alain Hendlisz
- Digestive Oncology Department, Institut Jules Bordet-Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Patrick Flamen
- Nuclear Medicine Department, Institut Jules Bordet-Université Libre de Bruxelles (ULB), Brussels, Belgium
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11
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Duran Derijckere I, Levillain H, Bohlok A, Mathey C, Nezri J, Muteganya R, Trotta N, Lucidi V, Bouazza F, Germanova D, Van Simaeys G, Goldman S, Hendlisz A, Flamen P, Donckier V. The metabolic clinical risk score as a new prognostic model for surgical decision-making in patients with colorectal liver metastases. J Surg Oncol 2020; 121:350-356. [PMID: 31721228 DOI: 10.1002/jso.25763] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2019] [Accepted: 11/04/2019] [Indexed: 01/24/2023]
Abstract
BACKGROUND AND OBJECTIVES Selection for surgery in patients with colorectal liver metastases (CRLM) remains inaccurate. We evaluated if CRLM baseline metabolic characteristics, assessed by [18]F-fluorodeoxyglucose-positron emission tomography/computed tomography (18 FDG-PET/CT), could predict postoperative outcomes. METHODS In a retrospective series of patients undergoing surgery for CRLM, we defined two groups: the long-term survival (LTS) and early relapse (ER) groups, where the postoperative recurrence-free survivals were ≥5 years or <1 year, respectively. We analyzed the patients in whom baseline 18 FDG-PET/CT was available. Clinicopathologic parameters, clinical risk score (CRS), and baseline 18 FDG-PET/CT characteristics were compared between LTS and ER groups. A metabolic CRS (mCRS) was implemented, adding one point to the standard five-point CRS when the highest tumor standardized uptake values (SUVmax )/normal liver mean SUV (SUVmean(liver) ) ratios were >4.3, defining low- and high-risk mCRS by scores of 0 to 2 and 3 to 6, respectively. RESULTS From a series of 450 patients operated for CRLM (mean follow-up of 58 months), we included for analysis 23 and 30 patients in the LTS and ER groups, respectively. Clinicopathologic parameters and CRS were similar in the LTS and ER groups. Median SUVmax /SUVmean(liver) ratios were higher in ER vs LTS patients (4.2 and 2.8, P = .008, respectively). mCRS was increased in ER patients (P = .024); 61% of LTS patients had low-risk mCRS and 73% of the ER patients had high-risk mCRS (P = .023). CONCLUSIONS 18 FDG-PET/CT characteristics combined with traditional CRS may represent a new tool to improve selection for surgery in patients with CRLM.
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Affiliation(s)
- Ivan Duran Derijckere
- Nuclear Medicine Department, Institut Jules Bordet-Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Hugo Levillain
- Nuclear Medicine Department, Institut Jules Bordet-Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Ali Bohlok
- Surgical Oncology Department, Institut Jules Bordet-Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Celine Mathey
- Nuclear Medicine Department, Hôpital Erasme-Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Jonathan Nezri
- Surgical Oncology Department, Institut Jules Bordet-Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Raoul Muteganya
- Nuclear Medicine Department, Hôpital Erasme-Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Nicola Trotta
- Nuclear Medicine Department, Hôpital Erasme-Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Valerio Lucidi
- Abdominal Surgery Department, Hôpital Erasme-Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Fikri Bouazza
- Surgical Oncology Department, Institut Jules Bordet-Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Desislava Germanova
- Abdominal Surgery Department, Hôpital Erasme-Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Gaetan Van Simaeys
- Nuclear Medicine Department, Hôpital Erasme-Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Serge Goldman
- Nuclear Medicine Department, Hôpital Erasme-Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Alain Hendlisz
- Digestive Oncology Department, Institut Jules Bordet-Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Patrick Flamen
- Nuclear Medicine Department, Institut Jules Bordet-Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Vincent Donckier
- Surgical Oncology Department, Institut Jules Bordet-Université Libre de Bruxelles (ULB), Brussels, Belgium
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12
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Levillain H, Duran Derijckere I, Ameye L, Guiot T, Braat A, Meyer C, Vanderlinden B, Reynaert N, Hendlisz A, Lam M, Deroose CM, Ahmadzadehfar H, Flamen P. Personalised radioembolization improves outcomes in refractory intra-hepatic cholangiocarcinoma: a multicenter study. Eur J Nucl Med Mol Imaging 2019; 46:2270-2279. [PMID: 31324943 DOI: 10.1007/s00259-019-04427-z] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2019] [Accepted: 07/03/2019] [Indexed: 01/27/2023]
Abstract
PURPOSE Reported outcomes of patients with intra-hepatic cholangiocarcinoma (IH-CCA) treated with radioembolization are highly variable, which indicates differences in included patients' characteristics and/or procedure-related variables. This study aimed to identify patient- and treatment-related variables predictive for radioembolization outcome. METHODS This retrospective multicenter study enrolled 58 patients with unresectable and chemorefractory IH-CCA treated with resin 90Y-microspheres. Clinicopathologic data were collected from patient records. Metabolic parameters of liver tumor(s) and presence of lymph node metastasis were measured on baseline 18F-FDG-PET/CT. 99mTc-MAA tumor to liver uptake ratio (TLRMAA) was computed for each lesion on the SPECT-CT. Activity prescription using body-surface-area (BSA) or more personalized partition-model was recorded. The study endpoint was overall survival (OS) starting from date of radioembolization. Statistical analysis was performed by the log-rank test and multivariate Cox's proportional hazards model. RESULTS Median OS (mOS) post-radioembolization of the entire cohort was 10.3 months. Variables associated with significant differences in terms of OS were serum albumin (hazard ratio (HR) = 2.78, 95%CI:1.29-5.98, p = 0.002), total bilirubin (HR = 2.17, 95%CI:1.14-4.12, p = 0.009), aspartate aminotransferase (HR = 2.96, 95%CI:1.50-5.84, p < 0.001), alanine aminotransferase (HR = 2.02, 95%CI:1.05-3.90, p = 0.01) and γ-GT (HR = 2.61, 95%CI:1.31-5.22, p < 0.001). The presence of lymph node metastasis as well as a TLRMAA < 1.9 were associated with shorter mOS: HR = 2.35, 95%CI:1.08-5.11, p = 0.008 and HR = 2.92, 95%CI:1.01-8.44, p = 0.009, respectively. Finally, mOS was significantly shorter in patients treated according to the BSA method compared to the partition-model: mOS of 5.5 vs 14.9 months (HR = 2.52, 95%CI:1.23-5.16, p < 0.001). Multivariate analysis indicated that the only variable that increased outcome prediction above the clinical variables was the activity prescription method with HR of 2.26 (95%CI:1.09-4.70, p = 0.03). The average mean radiation dose to tumors was significantly higher with the partition-model (86Gy) versus BSA (38Gy). CONCLUSION Radioembolization efficacy in patients with unresectable recurrent and/or chemorefractory IH-CCA strongly depends on the tumor radiation dose. Personalized activity prescription should be performed.
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Affiliation(s)
- Hugo Levillain
- Nuclear Medicine Department, Jules Bordet Institute, Université Libre de Bruxelles, 1 rue Héger-Bordet, 1000, Brussels, Belgium.
| | - Ivan Duran Derijckere
- Nuclear Medicine Department, Jules Bordet Institute, Université Libre de Bruxelles, 1 rue Héger-Bordet, 1000, Brussels, Belgium
| | - Lieveke Ameye
- Data Center Department, Jules Bordet Institute, Université Libre de Bruxelles, 1 rue Héger-Bordet, 1000, Brussels, Belgium
| | - Thomas Guiot
- Medical Physics Department, Jules Bordet Institute, Université Libre de Bruxelles, 1 rue Héger-Bordet, 1000, Brussels, Belgium
| | - Arthur Braat
- Radiology and Nuclear Medicine Department, University Medical Center Utrecht, Heidelberglaan 100, 3584, CX, Utrecht, The Netherlands
| | - Carsten Meyer
- Radiology Department, University Hospital Bonn, Sigmund-Freud-Str. 25, 53127, Bonn, Germany
| | - Bruno Vanderlinden
- Medical Physics Department, Jules Bordet Institute, Université Libre de Bruxelles, 1 rue Héger-Bordet, 1000, Brussels, Belgium
| | - Nick Reynaert
- Medical Physics Department, Jules Bordet Institute, Université Libre de Bruxelles, 1 rue Héger-Bordet, 1000, Brussels, Belgium
| | - Alain Hendlisz
- Digestive Oncology Department, Jules Bordet Institute, Université Libre de Bruxelles, 1 rue Héger-Bordet, 1000, Brussels, Belgium
| | - Marnix Lam
- Radiology and Nuclear Medicine Department, University Medical Center Utrecht, Heidelberglaan 100, 3584, CX, Utrecht, The Netherlands
| | - Christophe M Deroose
- Department of Imaging and Pathology, Nuclear Medicine, University Hospitals Leuven and Nuclear Medicine and Molecular Imaging, KU Leuven, Herestraat 49, 3000, Leuven, Belgium
| | - Hojjat Ahmadzadehfar
- Nuclear Medicine Department, University Hospital Bonn, Sigmund-Freud-Str. 25, 53127, Bonn, Germany
| | - Patrick Flamen
- Nuclear Medicine Department, Jules Bordet Institute, Université Libre de Bruxelles, 1 rue Héger-Bordet, 1000, Brussels, Belgium
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Woff E, Hendlisz A, Salvatore L, Marmorino F, Falcone A, Genovesi D, Giorgetti A, Critchi G, Ameye L, Paesmans M, Guiot T, Levillain H, Flamen P. Development and validation of a prognostic score for overall survival integrating baseline metabolically active tumor volume measured by 18F-FDG PET/CT and clinical factors for metastatic colorectal cancer patients. J Clin Oncol 2019. [DOI: 10.1200/jco.2019.37.15_suppl.3543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
3543 Background: This study aimed to develop and validate a prognostic score integrating baseline metabolically active tumor volume (MATV) and clinical factors in metastatic colorectal cancer (mCRC) patients. Methods: The development cohort included chemorefractory mCRC patients enrolled in two prospective multicenter non-randomized trials evaluating sorafenib/regorafenib as last line therapy. The validation cohort included mCRC patients from another center, treated with chemotherapy and bevacizumab as first line. Baseline MATV was defined as the sum of metabolically active volumes of all target lesions identified on the baseline 18F-FDG PET/CT. MATV optimal cutoff for OS prediction was determined from the development cohort with Contal and O’Quigley’s method. MATV, age, gender, BMI, ECOG PS, years since diagnosis, and KRAS status were included in a multivariate analysis. A prognostic score to predict OS was developed from the development cohort using Cox proportional hazards model. Results: MATV and clinical factors were evaluable respectively in 155 and 122 patients of the development and validation cohorts. In univariate analysis, MATV with cutoff set at 100 cm³ identified two risk groups with different median OS (mOS) in both the development (4.5 vs 10.9 months, HR: 2.64; p < 0.001) and validation cohorts (20.9 vs 42.9 months, HR: 2.39; p < 0.001). A multivariate analysis identified four independent negative predictors of OS (high MATV, short time since diagnosis, poor PS, BMI < 25). Combining these factors in a prognostic score for OS (best cutoff:-2) allowed to identify two risk groups with different mOS in the development (4.4 vs 13.4 months, HR: 3.67; p < 0.001) and validation cohorts (25 vs 63.8 months, HR: 2.5; p = 0.001). Conclusions: In mCRC patients, the high prognostic value of baseline MATV found in the development cohort was confirmed by external validation, independently of patients’ treatment. In both the development and validation cohorts the prognostic score for OS allowed to identify two risk groups of mCRC patients with significantly different mOS. MATV and our prognostic score for OS should provide a firm basis for risk stratification, in clinical practice and research trials.
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Affiliation(s)
- Erwin Woff
- Nuclear Medicine Department, Institut Jules Bordet - Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Alain Hendlisz
- Medical Oncology Department, Institut Jules Bordet - Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Lisa Salvatore
- Oncologia Medica, Fondazione Policlinico Universitario “A. Gemelli”, IRCCS, Roma, Italy
| | - Federica Marmorino
- Department of Translational Research and New Technologies in Medicine and Surgery, Unit of Medical Oncology 2, Azienda Ospedaliera Universitaria Pisana, Pisa, Italy
| | - Alfredo Falcone
- Department of Translational Research and New Technologies in Medicine and Surgery, Unit of Medical Oncology 2, Azienda Ospedaliera Universitaria Pisana, Pisa, Italy
| | - Dario Genovesi
- Nuclear Medicine Department, Fondazione Toscana Gabriele Monasterio, Pisa, Italy
| | - Assuero Giorgetti
- Nuclear Medicine Department, Fondazione Toscana Gabriele Monasterio, Pisa, Italy
| | - Gabriela Critchi
- Nuclear Medicine Department, Institut Jules Bordet - Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Lieveke Ameye
- Data Centre, Institut Jules Bordet - Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Marianne Paesmans
- Data Centre, Institut Jules Bordet - Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Thomas Guiot
- Nuclear Medicine Department, Institut Jules Bordet - Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Hugo Levillain
- Nuclear Medicine Department, Institut Jules Bordet - Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Patrick Flamen
- Nuclear Medicine Department, Institut Jules Bordet - Université Libre de Bruxelles (ULB), Brussels, Belgium
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Duran Derijckere I, Levillain H, Bohlok A, Mathey C, Nezri J, Muteganya R, Lucidi V, Bouazza F, Van Simaeys G, Goldman S, Hendlisz A, Flamen P, Donckier V. The metabolic clinical risk score (mCRS) as a new prognostic model for surgical decision in patients with colorectal liver metastases. J Clin Oncol 2019. [DOI: 10.1200/jco.2019.37.15_suppl.e15094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
e15094 Background: Selection for surgery in patients with colorectal liver metastases (CRLM) remains poorly accurate. We evaluated if baseline metabolic characteristics of CRLM, as assessed by [18]-fluorodeoxyglucose Positron Emission Tomography/Computed Tomography (18FDG-PET/CT), may predict the postoperative outcome in patients operated for CRLM. Methods: In a series of 450 patients operated for CRLM, we retrospectively identified 2 groups: The long-term survival (LTS), as defined by postoperative recurrence-free survival (RFS)≥5 years, and the early relapse groups (ER), as defined by RFS < 1 year. Clinicopathologic characteristics, Clinical Risk Score (CRS) and baseline 18FDG-PET/CT metabolic parameters were analyzed. Baseline 18FDG-PET/CT was performed at the time of diagnosis of CRLM, before any preoperative treatment. Low and high-risk CRS were defined by scores of 0 to 2 and 3 to 5, respectively. Metabolic CRS (mCRS) was implemented, using 1 additional point to the standard CRS when the highest tumor standardized uptake value (SUVmax) and normal liver mean SUV (SUVmean(liver)) ratio was > 4.3. Low and high-risk mCRS were defined by scores of 0 to 2 and 3 to 6, respectively. Results: We analyzed 53 patients. No difference was observed between LTS (n = 23) and ER (n = 30) groups for clinicopathologic parameters related to the primary tumor and CRLM, CRS and rates of low/high risk CRS. All metabolic parameters analyzed, including SUVmax and SUVpeak, at the exception of metabolic tumor volume, were significantly increased in ER group. Median SUVmax/SUVmean(liver) ratio was significantly increased in the ER vs LTS, respectively of 4.2 and 2.8 (p = 0.008). mCRS was significantly higher in ER as compared to LTS patients (p = 0.024), while 61% of the LTS patients had a low-risk mCRS and 73% of the ER patients had a high-risk mCRS (p = 0.023). Conclusions: Baseline 18FDG-PET/CT characteristics demonstrate an increased tumor glucose uptake in patients who rapidly recur after curative-intent surgery for CRLM. The introduction of these data into clinical risk model may represent a new tool to improve selection for surgery in patients with CRLM.
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Affiliation(s)
| | - Hugo Levillain
- Nuclear Medicine Department, Institut Jules Bordet - Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Ali Bohlok
- Institut Jules Bordet, Brussels, Belgium
| | | | | | | | - Valerio Lucidi
- Hôpital Erasme-Université Libre de Bruxelles, Brussels, Belgium
| | | | | | | | - Alain Hendlisz
- Medical Oncology Department, Institut Jules Bordet - Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Patrick Flamen
- Nuclear Medicine Department, Institut Jules Bordet - Université Libre de Bruxelles (ULB), Brussels, Belgium
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Levillain H, Duran Derijckere I, Marin G, Guiot T, Vouche M, Reynaert N, Hendlisz A, Vanderlinden B, Flamen P. 90Y-PET/CT-based dosimetry after selective internal radiation therapy predicts outcome in patients with liver metastases from colorectal cancer. EJNMMI Res 2018; 8:60. [PMID: 30006851 PMCID: PMC6045565 DOI: 10.1186/s13550-018-0419-z] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2018] [Accepted: 06/27/2018] [Indexed: 01/23/2023] Open
Abstract
BACKGROUND The aim of this work was to confirm that post-selective internal radiation therapy (SIRT) 90Y-PET/CT-based dosimetry correlates with lesion metabolic response and to determine its correlation with overall survival (OS) in liver-only metastases from colorectal cancer (mCRC) patients treated with SIRT. Twenty-four mCRC patients underwent pre/post-SIRT FDG-PET/CT and post-SIRT 90Y-PET/CT. Lesions delineated on pre/post-SIRT FDG-PET/CT were classified as non-metabolic responders (total lesion glycolysis (TLG)-decrease < 15%) and high-metabolic responders (TLG-decrease ≥ 50%). Lesion delineations were projected on the anatomically registered 90Y-PET/CT. Voxel-based 3D dosimetrywas performed on the 90Y-PET/CT and lesions' mean absorbed dose (Dmean) was measured. The coefficient of correlation between Dmean and TLG-decrease was calculated. The ability of lesion Dmean to predict non-metabolic response and high-metabolic response was tested and two cutoff values (Dmean-under-treated and Dmean-well-treated) were determined using ROC analysis. Patients were dichotomised in the "treated" group (all the lesions received a Dmean > Dmean-under-treated) and in the "under-treated" group (at least one lesion received a Dmean < Dmean-under-treated). Kaplan-Meier product limit method was used to describe OS curves. RESULTS Fifty-seven evaluable mCRC lesions were included. The coefficient of correlation between Dmean and TLG-decrease was 0.82. Two lesion Dmean cutoffs of 39 Gy (sensitivity 80%, specificity 95%, predictive-positive-value 86% and negative-predictive-value 92%) and 60 Gy (sensitivity 70%, specificity 95%, predictive positive-value 96% and negative-predictive-value 63%) were defined to predict non-metabolic response and high-metabolic response respectively. Patients with all lesions Dmean> 39 Gy had a significantly longer OS (13 months) than patients with at least one lesion Dmean < 39 Gy (OS = 5 months) (p = 0.012;hazard-ratio, 2.6 (95% CI 0.98-7.00)). CONCLUSIONS In chemorefractory mCRC patients treated with SIRT, lesion Dmean determined on post-SIRT 90Y-PET/CT correlates with metabolic response and higher lesion Dmean is associated with prolonged OS.
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Affiliation(s)
- Hugo Levillain
- Department of Nuclear Medicine, Jules Bordet Institute, Université Libre de Bruxelles, Rue Héger-Bordet 1, B-1000, Brussels, Belgium.
| | - Ivan Duran Derijckere
- Department of Nuclear Medicine, Jules Bordet Institute, Université Libre de Bruxelles, Rue Héger-Bordet 1, B-1000, Brussels, Belgium
| | - Gwennaëlle Marin
- Department of Medical Physics, Jules Bordet Institute, Université Libre de Bruxelles, Rue Héger-Bordet 1, B-1000, Brussels, Belgium
| | - Thomas Guiot
- Department of Nuclear Medicine, Jules Bordet Institute, Université Libre de Bruxelles, Rue Héger-Bordet 1, B-1000, Brussels, Belgium
| | - Michaël Vouche
- Department of Radiology, Hôpital St-Pierre, Jules Bordet Institute, Université Libre de Bruxelles, Rue Héger-Bordet 1, B-1000, Brussels, Belgium
| | - Nick Reynaert
- Department of Medical Physics, Jules Bordet Institute, Université Libre de Bruxelles, Rue Héger-Bordet 1, B-1000, Brussels, Belgium
| | - Alain Hendlisz
- Department of Digestive Oncology, Jules Bordet Institute, Université Libre de Bruxelles, Rue Héger-Bordet 1, B-1000, Brussels, Belgium
| | - Bruno Vanderlinden
- Department of Medical Physics, Jules Bordet Institute, Université Libre de Bruxelles, Rue Héger-Bordet 1, B-1000, Brussels, Belgium
| | - Patrick Flamen
- Department of Nuclear Medicine, Jules Bordet Institute, Université Libre de Bruxelles, Rue Héger-Bordet 1, B-1000, Brussels, Belgium
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Lemaire M, Lucidi V, Bouazza F, Katsanos G, Vanderlinden B, Levillain H, Delatte P, Garcia CA, Vouche M, Galdon MG, Demetter P, Deleporte A, Hendlisz A, Flamen P, Donckier V. Selective internal radiation therapy (SIRT) before partial hepatectomy or radiofrequency destruction for treatment of hepatocellular carcinoma in cirrhotic patients: a feasibility and safety pilot study. HPB (Oxford) 2018; 20:641-648. [PMID: 29486918 DOI: 10.1016/j.hpb.2018.01.006] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2017] [Revised: 10/31/2017] [Accepted: 01/04/2018] [Indexed: 02/07/2023]
Abstract
BACKGROUND/PURPOSE Preoperative selective internal radiation therapy (SIRT) may improve the results of partial hepatectomy (PH) or radiofrequency destruction (RF) for hepatocellular carcinoma (HCC) in patients with cirrhosis. The aim of this study was to evaluate the feasibility and safety of this combined approach. METHODS Patients with cirrhosis and HCC selected for PH or RF were prospectively included and systematically proposed for preoperative SIRT. Feasibility and safety of SIRT and post-SIRT PH or RF were assessed. RESULTS Thirty patients were included. SIRT was contraindicated in seven, due to lack of access to tumour artery or to hepato-pulmonary shunts. SIRT was performed in 23 patients without significant complications. Post-SIRT, surgery was refuted in seven patients, due to tumour progression or the patient's deteriorating condition. After surgery, major complications were observed in 2/16 patients (12.5%) and one patient died 52 days post-surgery. A major tumour pathological response was seen in most patients who underwent surgery after SIRT. CONCLUSIONS On intention-to-treat basis, the overall feasibility of combining preoperative SIRT and surgery was limited. Preoperative SIRT did not increase expected operative morbidity, but post-SIRT, a third of patients were refuted for surgery. Accurate selection criteria and potential long-term oncological benefit of this approach remains to be determined. ClinicalTrials.gov NCT01686880.
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Affiliation(s)
- Mégane Lemaire
- Surgery, Institut Jules Bordet, Université Libre de Bruxelles, Belgium
| | - Valerio Lucidi
- Abdominal Surgery, Hôpital Erasme, Université Libre de Bruxelles, Belgium; Centre de Chirurgie Hépato-Biliaire de l'ULB, Université Libre de Bruxelles, Belgium
| | - Fikri Bouazza
- Surgery, Institut Jules Bordet, Université Libre de Bruxelles, Belgium
| | - Georgios Katsanos
- Abdominal Surgery, Hôpital Erasme, Université Libre de Bruxelles, Belgium; Centre de Chirurgie Hépato-Biliaire de l'ULB, Université Libre de Bruxelles, Belgium
| | - Bruno Vanderlinden
- Nuclear Medicine, Institut Jules Bordet, Université Libre de Bruxelles, Belgium
| | - Hugo Levillain
- Nuclear Medicine, Institut Jules Bordet, Université Libre de Bruxelles, Belgium
| | - Philippe Delatte
- Radiology, Institut Jules Bordet, Université Libre de Bruxelles, Belgium
| | - Camilo A Garcia
- Nuclear Medicine, Institut Jules Bordet, Université Libre de Bruxelles, Belgium
| | - Michael Vouche
- Centre de Chirurgie Hépato-Biliaire de l'ULB, Université Libre de Bruxelles, Belgium; Radiology, Institut Jules Bordet, Université Libre de Bruxelles, Belgium
| | - Maria Gomez Galdon
- Pathology, Institut Jules Bordet, Université Libre de Bruxelles, Belgium
| | - Pieter Demetter
- Pathology, Hôpital Erasme, Université Libre de Bruxelles, Belgium
| | - Amélie Deleporte
- Digestive Oncology, Institut Jules Bordet, Université Libre de Bruxelles, Belgium
| | - Alain Hendlisz
- Centre de Chirurgie Hépato-Biliaire de l'ULB, Université Libre de Bruxelles, Belgium; Digestive Oncology, Institut Jules Bordet, Université Libre de Bruxelles, Belgium
| | - Patrick Flamen
- Nuclear Medicine, Institut Jules Bordet, Université Libre de Bruxelles, Belgium
| | - Vincent Donckier
- Surgery, Institut Jules Bordet, Université Libre de Bruxelles, Belgium; Centre de Chirurgie Hépato-Biliaire de l'ULB, Université Libre de Bruxelles, Belgium.
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