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Lütgendorf-Caucig C, Wieland P, Hug E, Flechl B, Tubin S, Galalae R, Georg P, Fossati P, Mumot M, Harrabi S, Pradler I, Pelak MJ. The Value of PET/CT in Particle Therapy Planning of Various Tumors with SSTR2 Receptor Expression: Comparative Interobserver Study. Cancers (Basel) 2024; 16:1877. [PMID: 38791956 PMCID: PMC11120397 DOI: 10.3390/cancers16101877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2024] [Revised: 05/08/2024] [Accepted: 05/13/2024] [Indexed: 05/26/2024] Open
Abstract
The overexpression of somatostatin receptor type 2 (SSTR2) is a property of various tumor types. Hybrid imaging utilizing [68Ga]1,4,7,10-tetraazacyclododecane-1,4,7,10-tetra-acetic acid (DOTA) may improve the differentiation between tumor and healthy tissue. We conducted an experimental study on 47 anonymized patient cases including 30 meningiomas, 12 PitNET and 5 SBPGL. Four independent observers were instructed to contour the macroscopic tumor volume on planning MRI and then reassess their volumes with the additional information from DOTA-PET/CT. The conformity between observers and reference volumes was assessed. In total, 46 cases (97.9%) were DOTA-avid and included in the final analysis. In eight cases, PET/CT additional tumor volume was identified that was not detected by MRI; these PET/CT findings were potentially critical for the treatment plan in four cases. For meningiomas, the interobserver and observer to reference volume conformity indices were higher with PET/CT. For PitNET, the volumes had higher conformity between observers with MRI. With regard to SBGDL, no significant trend towards conformity with the addition of PET/CT information was observed. DOTA PET/CT supports accurate tumor recognition in meningioma and PitNET and is recommended in SSTR2-expressing tumors planned for treatment with highly conformal radiation.
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Affiliation(s)
- Carola Lütgendorf-Caucig
- MedAustron Ion Therapy Center, 2700 Wiener Neustadt, Austria
- Radioonkologie, Department of Radiation Oncology, Heidelberg University Hospital, 69120 Heidelberg, Germany
- Heidelberg Ion-Beam Therapy Center (HIT), Department of Radiation Oncology, Heidelberg University Hospital, 69120 Heidelberg, Germany
| | - Patricia Wieland
- Faculty of Human Medicine, Karl Landsteiner University for Health Sciences, 3500 Krems, Austria
| | - Eugen Hug
- MedAustron Ion Therapy Center, 2700 Wiener Neustadt, Austria
| | - Birgit Flechl
- MedAustron Ion Therapy Center, 2700 Wiener Neustadt, Austria
| | - Slavisa Tubin
- MedAustron Ion Therapy Center, 2700 Wiener Neustadt, Austria
| | - Razvan Galalae
- MedAustron Ion Therapy Center, 2700 Wiener Neustadt, Austria
- Medizinische Fakultät, Christian-Albrechts-Universität zu Kiel, 24118 Kiel, Germany
| | - Petra Georg
- Klinische Abteilung für Strahlentherapie—Radioonkologie, Universitätsklinikum Krems, 3500 Krems, Austria
| | - Piero Fossati
- MedAustron Ion Therapy Center, 2700 Wiener Neustadt, Austria
- Division of Radiation Oncology, Karl Landsteiner University for Health Sciences, 3500 Krems, Austria
| | - Marta Mumot
- MedAustron Ion Therapy Center, 2700 Wiener Neustadt, Austria
| | - Semi Harrabi
- Radioonkologie, Department of Radiation Oncology, Heidelberg University Hospital, 69120 Heidelberg, Germany
- Heidelberg Ion-Beam Therapy Center (HIT), Department of Radiation Oncology, Heidelberg University Hospital, 69120 Heidelberg, Germany
| | - Irina Pradler
- MedAustron Ion Therapy Center, 2700 Wiener Neustadt, Austria
| | - Maciej J. Pelak
- MedAustron Ion Therapy Center, 2700 Wiener Neustadt, Austria
- Universitätsklinik für Radiotherapie und Radio-Onkologie, Landeskrankenhaus Salzburg, 5200 Salzburg, Austria
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Ratnayake G, Huo M, Mehta A, Ramachandran P, Pinkham MB, Law P, Watkins T, Olson S, Hall B, Brown S, Lusk R, Jones C, O’Mahoney E, McGill G, Foote MC. Utility of 68Ga-DOTATATE PET-MRI for Gamma Knife® stereotactic radiosurgery treatment planning for meningioma. Br J Radiol 2024; 97:180-185. [PMID: 38263827 PMCID: PMC11027229 DOI: 10.1093/bjr/tqad026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2023] [Revised: 10/06/2023] [Accepted: 10/13/2023] [Indexed: 01/25/2024] Open
Abstract
OBJECTIVES To investigate the impact of adding 68Ga-DOTATATE PET/MRI to standard MRI for target volume delineation in Gamma Knife® stereotactic radiosurgery (GKSRS) for meningioma. METHODS Seventeen patients with 18 lesions undergoing GKSRS for WHO grade 1 meningioma were enrolled in a prospective study. All patients underwent pre-treatment 68Ga-DOTATATE PET/MRI examination in addition to standard procedures. Five clinicians independently contoured the gross tumour volume (GTV) based on standard MRI (GTVMRI) and PET/MRI (GTVPET/MRI) on separate occasions. Interobserver agreement was evaluated using Cohen's Kappa statistic (CKS), Dice similarity coefficient (DC), and Hausdorff distance (HD). Statistical analysis was performed with paired t-test and Wilcoxon signed rank test. RESULTS The addition of PET/MRI significantly increased GTV contour volume (mean GTVPET/MRI 3.59 cm3 versus mean GTVMRI 3.18 cm3, P = .008). Using the treating clinician's pre-treatment GTVMRI as the reference, median CKS (87.2 vs 77.5, P = .006) and DC (87.2 vs 77.4, P = .006) were significantly lower, and median HD (25.2 vs 31.0, P = .001) was significantly higher with the addition of PET/MRI. No significant difference was observed in interobserver contouring reproducibility between GTVMRI and GTVPET/MRI. CONCLUSION The addition of 68Ga-DOTATATE PET/MRI for target volume delineation in GKSRS for meningioma is associated with an increase in GTV volume and greater interobserver variation. PET/MRI did not affect interobserver contouring reproducibility. ADVANCES IN KNOWLEDGE This study provides novel insights into the impact of 68Ga-DOTATATE PET/MRI on GTV delineation and interobserver agreement in meningioma GKSRS, highlighting its potential for improving GKSRS treatment accuracy.
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Affiliation(s)
- Gishan Ratnayake
- Department of Radiation Oncology, Princess Alexandra Hospital, Brisbane 4102, Australia
- Faculty of Medicine, University of Queensland, Brisbane 4006, Australia
| | - Michael Huo
- Department of Radiation Oncology, Princess Alexandra Hospital, Brisbane 4102, Australia
- Faculty of Medicine, University of Queensland, Brisbane 4006, Australia
| | - Akash Mehta
- Department of Radiation Oncology, Princess Alexandra Hospital, Brisbane 4102, Australia
- Faculty of Medicine, University of Queensland, Brisbane 4006, Australia
| | - Prabhakar Ramachandran
- Department of Radiation Oncology, Princess Alexandra Hospital, Brisbane 4102, Australia
- Faculty of Medicine, University of Queensland, Brisbane 4006, Australia
| | - Mark B Pinkham
- Department of Radiation Oncology, Princess Alexandra Hospital, Brisbane 4102, Australia
- Faculty of Medicine, University of Queensland, Brisbane 4006, Australia
| | - Phillip Law
- Faculty of Medicine, University of Queensland, Brisbane 4006, Australia
- Department of Medical Imaging, Princess Alexandra Hospital, Brisbane 4102, Australia
| | - Trevor Watkins
- Faculty of Medicine, University of Queensland, Brisbane 4006, Australia
- Department of Medical Imaging, Princess Alexandra Hospital, Brisbane 4102, Australia
| | - Sarah Olson
- Department of Medical Imaging, Princess Alexandra Hospital, Brisbane 4102, Australia
- Department of Neurosurgery, Princess Alexandra Hospital, Brisbane 4102, Australia
| | - Bruce Hall
- Department of Medical Imaging, Princess Alexandra Hospital, Brisbane 4102, Australia
- Department of Neurosurgery, Princess Alexandra Hospital, Brisbane 4102, Australia
| | - Simon Brown
- Department of Medical Imaging, Princess Alexandra Hospital, Brisbane 4102, Australia
- Department of Neurosurgery, Princess Alexandra Hospital, Brisbane 4102, Australia
| | - Ryan Lusk
- Department of Radiation Oncology, Princess Alexandra Hospital, Brisbane 4102, Australia
| | - Catherine Jones
- Department of Radiation Oncology, Princess Alexandra Hospital, Brisbane 4102, Australia
| | - Eoin O’Mahoney
- Department of Medical Imaging, Princess Alexandra Hospital, Brisbane 4102, Australia
| | - George McGill
- Department of Radiation Oncology, Princess Alexandra Hospital, Brisbane 4102, Australia
| | - Matthew C Foote
- Department of Radiation Oncology, Princess Alexandra Hospital, Brisbane 4102, Australia
- Faculty of Medicine, University of Queensland, Brisbane 4006, Australia
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Boursier C, Zaragori T, Bros M, Bordonne M, Melki S, Taillandier L, Blonski M, Roch V, Marie PY, Karcher G, Imbert L, Verger A. Semi-automated segmentation methods of SSTR PET for dosimetry prediction in refractory meningioma patients treated by SSTR-targeted peptide receptor radionuclide therapy. Eur Radiol 2023; 33:7089-7098. [PMID: 37148355 DOI: 10.1007/s00330-023-09697-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 02/10/2023] [Accepted: 03/12/2023] [Indexed: 05/08/2023]
Abstract
OBJECTIVES Tumor dosimetry with somatostatin receptor-targeted peptide receptor radionuclide therapy (SSTR-targeted PRRT) by 177Lu-DOTATATE may contribute to improved treatment monitoring of refractory meningioma. Accurate dosimetry requires reliable and reproducible pretherapeutic PET tumor segmentation which is not currently available. This study aims to propose semi-automated segmentation methods to determine metabolic tumor volume with pretherapeutic 68Ga-DOTATOC PET and evaluate SUVmean-derived values as predictive factors for tumor-absorbed dose. METHODS Thirty-nine meningioma lesions from twenty patients were analyzed. The ground truth PET and SPECT volumes (VolGT-PET and VolGT-SPECT) were computed from manual segmentations by five experienced nuclear physicians. SUV-related indexes were extracted from VolGT-PET and the semi-automated PET volumes providing the best Dice index with VolGT-PET (Volopt) across several methods: SUV absolute-value (2.3)-threshold, adaptative methods (Jentzen, Otsu, Contrast-based method), advanced gradient-based technique, and multiple relative thresholds (% of tumor SUVmax, hypophysis SUVmean, and meninges SUVpeak) with optimal threshold optimized. Tumor-absorbed doses were obtained from the VolGT-SPECT, corrected for partial volume effect, performed on a 360° whole-body CZT-camera at 24, 96, and 168 h after administration of 177Lu-DOTATATE. RESULTS Volopt was obtained from 1.7-fold meninges SUVpeak (Dice index 0.85 ± 0.07). SUVmean and total lesion uptake (SUVmeanxlesion volume) showed better correlations with tumor-absorbed doses than SUVmax when determined with the VolGT (respective Pearson correlation coefficients of 0.78, 0.67, and 0.56) or Volopt (0.64, 0.66, and 0.56). CONCLUSION Accurate definition of pretherapeutic PET volumes is justified since SUVmean-derived values provide the best tumor-absorbed dose predictions in refractory meningioma patients treated by 177Lu-DOTATATE. This study provides a semi-automated segmentation method of pretherapeutic 68Ga-DOTATOC PET volumes to achieve good reproducibility between physicians. CLINICAL RELEVANCE STATEMENT SUVmean-derived values from pretherapeutic 68Ga-DOTATOC PET are predictive of tumor-absorbed doses in refractory meningiomas treated by 177Lu-DOTATATE, justifying to accurately define pretherapeutic PET volumes. This study provides a semi-automated segmentation of 68Ga-DOTATOC PET images easily applicable in routine. KEY POINTS • SUVmean-derived values from pretherapeutic 68Ga-DOTATOC PET images provide the best predictive factors of tumor-absorbed doses related to 177Lu-DOTATATE PRRT in refractory meningioma. • A 1.7-fold meninges SUVpeak segmentation method used to determine metabolic tumor volume on pretherapeutic 68Ga-DOTATOC PET images of refractory meningioma treated by 177Lu-DOTATATE is as efficient as the currently routine manual segmentation method and limits inter- and intra-observer variabilities. • This semi-automated method for segmentation of refractory meningioma is easily applicable to routine practice and transferrable across PET centers.
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Affiliation(s)
- Caroline Boursier
- Department of Nuclear Medicine, Université de Lorraine, CHRU Nancy, F-54000, Nancy, France.
- Université de Lorraine, IADI, INSERM U1254, F-54000, Nancy, France.
- Nancyclotep Imaging Platform, F-54000, Nancy, France.
| | | | - Marie Bros
- Department of Nuclear Medicine, Université de Lorraine, CHRU Nancy, F-54000, Nancy, France
| | - Manon Bordonne
- Department of Nuclear Medicine, Université de Lorraine, CHRU Nancy, F-54000, Nancy, France
| | - Saifeddine Melki
- Department of Nuclear Medicine, Université de Lorraine, CHRU Nancy, F-54000, Nancy, France
| | - Luc Taillandier
- Department of Neuro-Oncology, Université de Lorraine, CHRU Nancy, F-54000, Nancy, France
- Centre de Recherche en Automatique de Nancy CRAN, UMR 7039, Université de Lorraine, CNRS, F-54000, Nancy, France
| | - Marie Blonski
- Department of Neuro-Oncology, Université de Lorraine, CHRU Nancy, F-54000, Nancy, France
- Centre de Recherche en Automatique de Nancy CRAN, UMR 7039, Université de Lorraine, CNRS, F-54000, Nancy, France
| | - Veronique Roch
- Department of Nuclear Medicine, Université de Lorraine, CHRU Nancy, F-54000, Nancy, France
- Nancyclotep Imaging Platform, F-54000, Nancy, France
| | - Pierre-Yves Marie
- Department of Nuclear Medicine, Université de Lorraine, CHRU Nancy, F-54000, Nancy, France
- Université de Lorraine, IADI, INSERM U1254, F-54000, Nancy, France
- Nancyclotep Imaging Platform, F-54000, Nancy, France
| | - Gilles Karcher
- Department of Nuclear Medicine, Université de Lorraine, CHRU Nancy, F-54000, Nancy, France
- Nancyclotep Imaging Platform, F-54000, Nancy, France
| | - Laëtitia Imbert
- Department of Nuclear Medicine, Université de Lorraine, CHRU Nancy, F-54000, Nancy, France
- Université de Lorraine, IADI, INSERM U1254, F-54000, Nancy, France
- Nancyclotep Imaging Platform, F-54000, Nancy, France
| | - Antoine Verger
- Department of Nuclear Medicine, Université de Lorraine, CHRU Nancy, F-54000, Nancy, France
- Université de Lorraine, IADI, INSERM U1254, F-54000, Nancy, France
- Nancyclotep Imaging Platform, F-54000, Nancy, France
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Kriwanek F, Ulbrich L, Lechner W, Lütgendorf-Caucig C, Konrad S, Waldstein C, Herrmann H, Georg D, Widder J, Traub-Weidinger T, Rausch I. Impact of SSTR PET on Inter-Observer Variability of Target Delineation of Meningioma and the Possibility of Using Threshold-Based Segmentations in Radiation Oncology. Cancers (Basel) 2022; 14:cancers14184435. [PMID: 36139596 PMCID: PMC9497299 DOI: 10.3390/cancers14184435] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 08/31/2022] [Accepted: 09/08/2022] [Indexed: 11/24/2022] Open
Abstract
Aim: The aim of this study was to assess the effects of including somatostatin receptor agonist (SSTR) PET imaging in meningioma radiotherapy planning by means of changes in inter-observer variability (IOV). Further, the possibility of using threshold-based delineation approaches for semiautomatic tumor volume definition was assessed. Patients and Methods: Sixteen patients with meningioma undergoing fractionated radiotherapy were delineated by five radiation oncologists. IOV was calculated by comparing each delineation to a consensus delineation, based on the simultaneous truth and performance level estimation (STAPLE) algorithm. The consensus delineation was used to adapt a threshold-based delineation, based on a maximization of the mean Dice coefficient. To test the threshold-based approach, seven patients with SSTR-positive meningioma were additionally evaluated as a validation group. Results: The average Dice coefficients for delineations based on MRI alone was 0.84 ± 0.12. For delineation based on MRI + PET, a significantly higher dice coefficient of 0.87 ± 0.08 was found (p < 0.001). The Hausdorff distance decreased from 10.96 ± 11.98 mm to 8.83 ± 12.21 mm (p < 0.001) when adding PET for the lesion delineation. The best threshold value for a threshold-based delineation was found to be 14.0% of the SUVmax, with an average Dice coefficient of 0.50 ± 0.19 compared to the consensus delineation. In the validation cohort, a Dice coefficient of 0.56 ± 0.29 and a Hausdorff coefficient of 27.15 ± 21.54 mm were found for the threshold-based approach. Conclusions: SSTR-PET added to standard imaging with CT and MRI reduces the IOV in radiotherapy planning for patients with meningioma. When using a threshold-based approach for PET-based delineation of meningioma, a relatively low threshold of 14.0% of the SUVmax was found to provide the best agreement with a consensus delineation.
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Affiliation(s)
- Florian Kriwanek
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria
| | - Leo Ulbrich
- Department of Radiation Oncology, Medical University of Vienna, 1090 Vienna, Austria
| | - Wolfgang Lechner
- Department of Radiation Oncology, Medical University of Vienna, 1090 Vienna, Austria
| | | | - Stefan Konrad
- Department of Radiation Oncology, Medical University of Vienna, 1090 Vienna, Austria
| | - Cora Waldstein
- Department of Radiation Oncology, Medical University of Vienna, 1090 Vienna, Austria
| | - Harald Herrmann
- Department of Radiation Oncology, Medical University of Vienna, 1090 Vienna, Austria
| | - Dietmar Georg
- Department of Radiation Oncology, Medical University of Vienna, 1090 Vienna, Austria
| | - Joachim Widder
- Department of Radiation Oncology, Medical University of Vienna, 1090 Vienna, Austria
| | - Tatjana Traub-Weidinger
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria
- Correspondence:
| | - Ivo Rausch
- QIMP Team, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, 1090 Vienna, Austria
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Somatostatin Receptor Targeted PET-Imaging for Diagnosis, Radiotherapy Planning and Theranostics of Meningiomas: A Systematic Review of the Literature. Diagnostics (Basel) 2022; 12:diagnostics12071666. [PMID: 35885570 PMCID: PMC9321668 DOI: 10.3390/diagnostics12071666] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 07/07/2022] [Accepted: 07/08/2022] [Indexed: 11/21/2022] Open
Abstract
The aims of the present systematic review are to: (1) assess the diagnostic performance of somatostatin receptor (SSR)targeted positron emission tomography (PET) with different tracers and devices in patients affected by meningiomas; and (2) to evaluate the theranostic applications of peptide receptor radionuclide therapy (PRRT) in meningiomas. A systematic literature search according to PRISMA criteria was made by using two main databases. Only studies published from 2011 up to March 2022 in the English language with ≥10 enrolled patients were selected. Following our research strategy, 17 studies were included for the assessment. Fourteen studies encompassed 534 patients, harboring 733 meningiomas, submitted to SSR-targeted PET/CT (n = 10) or PET/MRI (n = 4) for de novo diagnosis, recurrence detection, or radiation therapy (RT) planning (endpoint 1), while 3 studies included 69 patients with therapy-refractory meningiomas submitted to PRRT (endpoint 2). A relevant variation in methodology was registered among diagnostic studies, since only a minority of them reported histopathology as a reference standard. PET, especially when performed through PET/MRI, resulted particularly useful for the detection of meningiomas located in the skull base (SB) or next to the falx cerebri, significantly influencing RT planning. As far as it concerns PRRT studies, stable disease was obtained in the 66.6% of the treated patients, being grade 1–2 hematological toxicity the most common side effect. Of note, the wide range of the administered activities, the various utilized radiopharmaceuticals (90Y-DOTATOC and/or 177Lu-DOTATATE), the lack of dosimetric studies hamper a clear definition of PRRT potential on meningiomas’ management.
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The Role of [ 68Ga]Ga-DOTA-SSTR PET Radiotracers in Brain Tumors: A Systematic Review of the Literature and Ongoing Clinical Trials. Cancers (Basel) 2022; 14:cancers14122925. [PMID: 35740591 PMCID: PMC9221214 DOI: 10.3390/cancers14122925] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 06/10/2022] [Accepted: 06/12/2022] [Indexed: 12/12/2022] Open
Abstract
Simple Summary [68Ga]Ga-DOTA-SSTR PET imaging has recently been introduced in the management of patients with brain tumors, mostly meningiomas and pituitary adenomas or carcinomas. The current literature demonstrated the superior diagnostic accuracy of this imaging modality, especially for lesions difficult to be detected or characterized on conventional imaging protocols, such as skull base or transosseous meningiomas. [68Ga]Ga-DOTA-SSTR PET tracers also seem to provide superior volume contouring for radiotherapy planning and may also be used to evaluate the tumor’s overexpression of somatostatin receptors for devising patient-tailored peptide receptor radionuclide therapy. In this review, we comprehensively analyzed the current literature discussing the implementation of [68Ga]Ga-DOTA-SSTR PET imaging in brain tumors, further presenting ongoing clinical trials and suggesting potential future applications. Abstract Background: The development of [68Ga]Ga-DOTA-SSTR PET tracers has garnered interest in neuro-oncology, to increase accuracy in diagnostic, radiation planning, and neurotheranostics protocols. We systematically reviewed the literature on the current uses of [68Ga]Ga-DOTA-SSTR PET in brain tumors. Methods: PubMed, Scopus, Web of Science, and Cochrane were searched in accordance with the PRISMA guidelines to include published studies and ongoing trials utilizing [68Ga]Ga-DOTA-SSTR PET in patients with brain tumors. Results: We included 63 published studies comprising 1030 patients with 1277 lesions, and 4 ongoing trials. [68Ga]Ga-DOTA-SSTR PET was mostly used for diagnostic purposes (62.5%), followed by treatment planning (32.7%), and neurotheranostics (4.8%). Most lesions were meningiomas (93.6%), followed by pituitary adenomas (2.8%), and the DOTATOC tracer (53.2%) was used more frequently than DOTATATE (39.1%) and DOTANOC (5.7%), except for diagnostic purposes (DOTATATE 51.1%). [68Ga]Ga-DOTA-SSTR PET studies were mostly required to confirm the diagnosis of meningiomas (owing to their high SSTR2 expression and tracer uptake) or evaluate their extent of bone invasion, and improve volume contouring for better radiotherapy planning. Some studies reported the uncommon occurrence of SSTR2-positive brain pathology challenging the diagnostic accuracy of [68Ga]Ga-DOTA-SSTR PET for meningiomas. Pre-treatment assessment of tracer uptake rates has been used to confirm patient eligibility (high somatostatin receptor-2 expression) for peptide receptor radionuclide therapy (PRRT) (i.e., neurotheranostics) for recurrent meningiomas and pituitary carcinomas. Conclusion: [68Ga]Ga-DOTA-SSTR PET studies may revolutionize the routine neuro-oncology practice, especially in meningiomas, by improving diagnostic accuracy, delineation of radiotherapy targets, and patient eligibility for radionuclide therapies.
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Pelak MJ, Flechl B, Mumot M, Galalae R, Tubin S, Hug E, Lütgendorf-Caucig C. The Value of SSTR2 Receptor-Targeted PET/CT in Proton Irradiation of Grade I Meningioma. Cancers (Basel) 2021; 13:4707. [PMID: 34572933 PMCID: PMC8469658 DOI: 10.3390/cancers13184707] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Revised: 09/04/2021] [Accepted: 09/14/2021] [Indexed: 11/17/2022] Open
Abstract
Grade I meningioma is the most common intracranial tumor in adults. The standard imaging for its radiation treatment planning is MRI, and [68Ga]1,4,7,10-tetraazacyclododecane-1,4,7,10-tetraacetic acid (DOTA)-conjugated PET/CT can further improve delineation. We investigated the impact of PET/CT on interobserver variability in identifying the tumor in 30 anonymized patients. Four radiation oncologists independently contoured residual tumor volume, first using only MRI and subsequently with the addition of PET/CT. Conformity indices (CIs) were calculated between common volumes, observer pairs and compared to the volumes previously used. Overall, 29/30 tumors (96.6%) showed [68Ga]Ga-DOTA avidity. With help of PET/CT, the participants identified six cases with new lesions not recognized in MRI, including two where new findings would critically alter the target volume used for radiation. The PET/CT-aided series demonstrated superior conformity, as compared to MRI-only between observer pairs (median CI = 0.58 vs. 0.49; p = 0.002), common volumes (CI = 0.34; vs. 0.29; p = 0.002) and matched better the reference volumes actually used for patient treatment (CI = 0.55 vs. 0.39; p = 0.008). Cis in the PET/CT-aided series were lower for meningiomas outside of the skull base (0.2 vs. 0.44; p = 0.03). We conclude that SSTR2 receptor-targeted PET/CT is a valuable tool for planning particle therapy of incompletely resected meningioma. It serves both as a workup procedure and an aid for delineation process that reduces the likelihood of marginal misses.
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Affiliation(s)
- Maciej J. Pelak
- MedAustron Ion Therapy Center, 2700 Wiener Neustadt, Austria; (B.F.); (M.M.); (R.G.); (S.T.); (E.H.); (C.L.-C.)
| | - Birgit Flechl
- MedAustron Ion Therapy Center, 2700 Wiener Neustadt, Austria; (B.F.); (M.M.); (R.G.); (S.T.); (E.H.); (C.L.-C.)
| | - Marta Mumot
- MedAustron Ion Therapy Center, 2700 Wiener Neustadt, Austria; (B.F.); (M.M.); (R.G.); (S.T.); (E.H.); (C.L.-C.)
| | - Razvan Galalae
- MedAustron Ion Therapy Center, 2700 Wiener Neustadt, Austria; (B.F.); (M.M.); (R.G.); (S.T.); (E.H.); (C.L.-C.)
- Medizinische Fakultät, Christian-Albrechts-Universität zu Kiel, 24118 Kiel, Germany
| | - Slavisa Tubin
- MedAustron Ion Therapy Center, 2700 Wiener Neustadt, Austria; (B.F.); (M.M.); (R.G.); (S.T.); (E.H.); (C.L.-C.)
| | - Eugen Hug
- MedAustron Ion Therapy Center, 2700 Wiener Neustadt, Austria; (B.F.); (M.M.); (R.G.); (S.T.); (E.H.); (C.L.-C.)
| | - Carola Lütgendorf-Caucig
- MedAustron Ion Therapy Center, 2700 Wiener Neustadt, Austria; (B.F.); (M.M.); (R.G.); (S.T.); (E.H.); (C.L.-C.)
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Abstract
PET/MR imaging is in routine clinical use and is at least as effective as PET/CT for oncologic and neurologic studies with advantages with certain PET radiopharmaceuticals and applications. In addition, whole body PET/MR imaging substantially reduces radiation dosages compared with PET/CT which is particularly relevant to pediatric and young adult population. For cancer imaging, assessment of hepatic, pelvic, and soft-tissue malignancies may benefit from PET/MR imaging. For neurologic imaging, volumetric brain MR imaging can detect regional volume loss relevant to cognitive impairment and epilepsy. In addition, the single-bed position acquisition enables dynamic brain PET imaging without extending the total study length which has the potential to enhance the diagnostic information from PET.
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Affiliation(s)
- Farshad Moradi
- Department of Radiology, Stanford University, 300 Pasteur Drive, H2200, Stanford, CA 94305, USA.
| | - Andrei Iagaru
- Department of Radiology, Stanford University, 300 Pasteur Drive, H2200, Stanford, CA 94305, USA
| | - Jonathan McConathy
- Department of Radiology, University of Alabama at Birmingham, 619 19th Street South, JT 773, Birmingham, AL 35249, USA
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Decazes P, Hinault P, Veresezan O, Thureau S, Gouel P, Vera P. Trimodality PET/CT/MRI and Radiotherapy: A Mini-Review. Front Oncol 2021; 10:614008. [PMID: 33614497 PMCID: PMC7890017 DOI: 10.3389/fonc.2020.614008] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2020] [Accepted: 12/22/2020] [Indexed: 12/12/2022] Open
Abstract
Computed tomography (CT) has revolutionized external radiotherapy by making it possible to visualize and segment the tumors and the organs at risk in a three-dimensional way. However, if CT is a now a standard, it presents some limitations, notably concerning tumor characterization and delineation. Its association with functional and anatomical images, that are positron emission tomography (PET) and magnetic resonance imaging (MRI), surpasses its limits. This association can be in the form of a trimodality PET/CT/MRI. The objective of this mini-review is to describe the process of performing this PET/CT/MRI trimodality for radiotherapy and its potential clinical applications. Trimodality can be performed in two ways, either a PET/MRI fused to a planning CT (possibly with a pseudo-CT generated from the MRI for the planning), or a PET/CT fused to an MRI and then registered to a planning CT (possibly the CT of PET/CT if calibrated for radiotherapy). These examinations should be performed in the treatment position, and in the second case, a patient transfer system can be used between the PET/CT and MRI to limit movement. If trimodality requires adapted equipment, notably compatible MRI equipment with high-performance dedicated coils, it allows the advantages of the three techniques to be combined with a synergistic effect while limiting their disadvantages when carried out separately. Trimodality is already possible in clinical routine and can have a high clinical impact and good inter-observer agreement, notably for head and neck cancers, brain tumor, prostate cancer, cervical cancer.
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Affiliation(s)
- Pierre Decazes
- Nuclear Medicine Department, Henri Becquerel Cancer Center, Rouen, France
- QuantIF-LITIS EA4108, University of Rouen, Rouen, France
| | | | - Ovidiu Veresezan
- Radiotherapy Department, Henri Becquerel Cancer Center, Rouen, France
| | - Sébastien Thureau
- Nuclear Medicine Department, Henri Becquerel Cancer Center, Rouen, France
- QuantIF-LITIS EA4108, University of Rouen, Rouen, France
- Radiotherapy Department, Henri Becquerel Cancer Center, Rouen, France
| | - Pierrick Gouel
- Nuclear Medicine Department, Henri Becquerel Cancer Center, Rouen, France
- QuantIF-LITIS EA4108, University of Rouen, Rouen, France
| | - Pierre Vera
- Nuclear Medicine Department, Henri Becquerel Cancer Center, Rouen, France
- QuantIF-LITIS EA4108, University of Rouen, Rouen, France
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Laudicella R, Albano D, Annunziata S, Calabrò D, Argiroffi G, Abenavoli E, Linguanti F, Albano D, Vento A, Bruno A, Alongi P, Bauckneht M. Theragnostic Use of Radiolabelled Dota-Peptides in Meningioma: From Clinical Demand to Future Applications. Cancers (Basel) 2019; 11:cancers11101412. [PMID: 31546734 PMCID: PMC6826849 DOI: 10.3390/cancers11101412] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2019] [Revised: 09/18/2019] [Accepted: 09/19/2019] [Indexed: 12/14/2022] Open
Abstract
Meningiomas account for approximately 30% of all new diagnoses of intracranial masses. The 2016 World Health Organization's (WHO) classification currently represents the clinical standard for meningioma's grading and prognostic stratification. However, watchful waiting is frequently the chosen treatment option, although this means the absence of a certain histological diagnosis. Consequently, MRI (or less frequently CT) brain imaging currently represents the unique available tool to define diagnosis, grading, and treatment planning in many cases. Nonetheless, these neuroimaging modalities show some limitations, particularly in the evaluation of skull base lesions. The emerging evidence supporting the use of radiolabelled somatostatin receptor analogues (such as dota-peptides) to provide molecular imaging of meningiomas might at least partially overcome these limitations. Moreover, their potential therapeutic usage might enrich the current clinical offering for these patients. Starting from the strengths and weaknesses of structural and functional neuroimaging in meningiomas, in the present article we systematically reviewed the published studies regarding the use of radiolabelled dota-peptides in surgery and radiotherapy planning, in the restaging of treated patients, as well as in peptide-receptor radionuclide therapy of meningioma.
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Affiliation(s)
- Riccardo Laudicella
- Department of Biomedical and Dental Sciences and of Morpho-Functional Imaging, Nuclear Medicine Unit, University of Messina, 98125 Messina, Italy
| | - Domenico Albano
- Department of Nuclear Medicine, University of Brescia and Spedali Civili Brescia, 25123 Brescia, Italy
| | - Salvatore Annunziata
- Institute of Nuclear Medicine, Università Cattolica del Sacro Cuore, 00168 Roma, Italy
| | - Diletta Calabrò
- Nuclear Medicine, DIMES University of Bologna, S. Orsola-Malpighi Hospital, 40138 Bologna, Italy
| | | | - Elisabetta Abenavoli
- Nuclear Medicine Unit, Department of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, 50134 Florence, Italy
| | - Flavia Linguanti
- Nuclear Medicine Unit, Department of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, 50134 Florence, Italy
| | - Domenico Albano
- IRCCS Istituto Ortopedico Galeazzi, Unità di Radiologia Diagnostica ed Interventistica, 20161 Milano, Italy
- Sezione di Scienze Radiologiche, Dipartimento di Biomedicina, Neuroscienze e Diagnostica Avanzata, Università degli Studi di Palermo, 90127 Palermo, Italy
| | - Antonio Vento
- Department of Biomedical and Dental Sciences and of Morpho-Functional Imaging, Nuclear Medicine Unit, University of Messina, 98125 Messina, Italy
| | - Antonio Bruno
- Department of Experimental, Diagnostic and Specialty Medicine-DIMES, University of Bologna, S. Orsola-Malpighi Hospital, 40138 Bologna, Italy
| | - Pierpaolo Alongi
- Unit of Nuclear Medicine, Fondazione Istituto G. Giglio, 90015 Cefalù, Italy
| | - Matteo Bauckneht
- Nuclear Medicine Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy.
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