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Geevarghese R, Bodard S, Razakamanantsoa L, Marcelin C, Petre EN, Dohan A, Kastler A, Frandon J, Barral M, Soyer P, Cornelis FH. Interventional Oncology: 2024 Update. Can Assoc Radiol J 2024; 75:658-670. [PMID: 38444144 DOI: 10.1177/08465371241236152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/07/2024] Open
Abstract
Interventional Oncology (IO) stands at the forefront of transformative cancer care, leveraging advanced imaging technologies and innovative interventions. This narrative review explores recent developments within IO, highlighting its potential impact facilitated by artificial intelligence (AI), personalized medicine and imaging innovations. The integration of AI in IO holds promise for accelerating tumour detection and characterization, guiding treatment strategies and refining predictive models. Imaging modalities, including functional MRI, PET and cone beam CT are reshaping imaging and precision. Navigation, fusion imaging, augmented reality and robotics have the potential to revolutionize procedural guidance and offer unparalleled accuracy. New developments are observed in embolization and ablative therapies. The pivotal role of genomics in treatment planning, targeted therapies and biomarkers for treatment response prediction underscore the personalization of IO. Quality of life assessment, minimizing side effects and long-term survivorship care emphasize patient-centred outcomes after IO treatment. The evolving landscape of IO training programs, simulation technologies and workforce competence ensures the field's adaptability. Despite barriers to adoption, synergy between interventional radiologists' proficiency and technological advancements hold promise in cancer care.
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Affiliation(s)
- Ruben Geevarghese
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Sylvain Bodard
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Clement Marcelin
- Department of Radiology, Bordeaux University, Hopital Pellegrin, Bordeaux, France
| | - Elena N Petre
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Anthony Dohan
- Department of Radiology, Hopital Cochin, AP-HP, Paris, France
- Faculté de Médecine, Université Paris Cité, Paris, France
| | - Adrian Kastler
- Department of Radiology, Grenoble University Hospital, Grenoble, France
| | - Julien Frandon
- Department of Radiology, Nimes University Hospital, Nimes, France
| | - Matthias Barral
- Department of Radiology, Sorbonne University, Hopital Tenon, Paris, France
| | - Philippe Soyer
- Department of Radiology, Hopital Cochin, AP-HP, Paris, France
- Faculté de Médecine, Université Paris Cité, Paris, France
| | - François H Cornelis
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Radiology, Sorbonne University, Hopital Tenon, Paris, France
- Weill Cornell Medical College, New York, NY, USA
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Della Corte A, Mori M, Calabrese F, Palumbo D, Ratti F, Palazzo G, Pellegrini A, Santangelo D, Ronzoni M, Spezi E, Del Vecchio A, Fiorino C, Aldrighetti L, De Cobelli F. Preoperative MRI radiomic analysis for predicting local tumor progression in colorectal liver metastases before microwave ablation. Int J Hyperthermia 2024; 41:2349059. [PMID: 38754994 DOI: 10.1080/02656736.2024.2349059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Accepted: 04/25/2024] [Indexed: 05/18/2024] Open
Abstract
PURPOSE Radiomics may aid in predicting prognosis in patients with colorectal liver metastases (CLM). Consistent data is available on CT, yet limited data is available on MRI. This study assesses the capability of MRI-derived radiomic features (RFs) to predict local tumor progression-free survival (LTPFS) in patients with CLMs treated with microwave ablation (MWA). METHODS All CLM patients with pre-operative Gadoxetic acid-MRI treated with MWA in a single institution between September 2015 and February 2022 were evaluated. Pre-procedural information was retrieved retrospectively. Two observers manually segmented CLMs on T2 and T1-Hepatobiliary phase (T1-HBP) scans. After inter-observer variability testing, 148/182 RFs showed robustness on T1-HBP, and 141/182 on T2 (ICC > 0.7).Cox multivariate analysis was run to establish clinical (CLIN-mod), radiomic (RAD-T1, RAD-T2), and combined (COMB-T1, COMB-T2) models for LTPFS prediction. RESULTS Seventy-six CLMs (43 patients) were assessed. Median follow-up was 14 months. LTP occurred in 19 lesions (25%).CLIN-mod was composed of minimal ablation margins (MAMs), intra-segment progression and primary tumor grade and exhibited moderately high discriminatory power in predicting LTPFS (AUC = 0.89, p = 0.0001). Both RAD-T1 and RAD-T2 were able to predict LTPFS: (RAD-T1: AUC = 0.83, p = 0.0003; RAD-T2: AUC = 0.79, p = 0.001). Combined models yielded the strongest performance (COMB-T1: AUC = 0.98, p = 0.0001; COMB-T2: AUC = 0.95, p = 0.0003). Both combined models included MAMs and tumor regression grade; COMB-T1 also featured 10th percentile of signal intensity, while tumor flatness was present in COMB-T2. CONCLUSION MRI-based radiomic evaluation of CLMs is feasible and potentially useful for LTP prediction. Combined models outperformed clinical or radiomic models alone for LTPFS prediction.
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Affiliation(s)
- Angelo Della Corte
- Department of Radiology, IRCCS San Raffaele Hospital, Milan, Italy
- University Vita-Salute San Raffaele, Milan, Italy
| | - Martina Mori
- Department of Medical Physics, San Raffaele Scientific Institute, Milan, Italy
| | | | - Diego Palumbo
- Department of Radiology, IRCCS San Raffaele Hospital, Milan, Italy
- University Vita-Salute San Raffaele, Milan, Italy
| | - Francesca Ratti
- Hepatobiliary Surgery Division, IRCCS San Raffaele Hospital, Milan, Italy
| | - Gabriele Palazzo
- Department of Medical Physics, San Raffaele Scientific Institute, Milan, Italy
| | | | | | - Monica Ronzoni
- Unit of Oncology, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Emiliano Spezi
- School of Engineering, Cardiff University, Cardiff, UK
- Department of Medical Physics, Velindre Cancer Centre, Cardiff, UK
| | | | - Claudio Fiorino
- Department of Medical Physics, San Raffaele Scientific Institute, Milan, Italy
| | - Luca Aldrighetti
- University Vita-Salute San Raffaele, Milan, Italy
- Hepatobiliary Surgery Division, IRCCS San Raffaele Hospital, Milan, Italy
| | - Francesco De Cobelli
- Department of Radiology, IRCCS San Raffaele Hospital, Milan, Italy
- University Vita-Salute San Raffaele, Milan, Italy
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Zirakchian Zadeh M, Sotirchos VS, Kirov A, Lafontaine D, Gönen M, Yeh R, Kunin H, Petre EN, Kitsel Y, Elsayed M, Solomon SB, Erinjeri JP, Schwartz LH, Sofocleous CT. Three-Dimensional Margin as a Predictor of Local Tumor Progression after Microwave Ablation: Intraprocedural versus 4-8-Week Postablation Assessment. J Vasc Interv Radiol 2024; 35:523-532.e1. [PMID: 38215818 DOI: 10.1016/j.jvir.2024.01.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Revised: 12/19/2023] [Accepted: 01/03/2024] [Indexed: 01/14/2024] Open
Abstract
PURPOSE To evaluate the prognostic accuracy of intraprocedural and 4-8-week (current standard) post-microwave ablation zone (AZ) and margin assessments for prediction of local tumor progression (LTP) using 3-dimensional (3D) software. MATERIALS AND METHODS Data regarding 100 colorectal liver metastases (CLMs) in 75 patients were collected from 2 prospective fluorodeoxyglucose positron emission tomography (PET)/computed tomography (CT)-guided microwave ablation (MWA) trials. The target CLMs and theoretical 5- and 10-mm margins were segmented and registered intraprocedurally and at 4-8 weeks after MWA contrast-enhanced CT (or magnetic resonance [MR] imaging) using the same methodology and 3D software. Tumor and 5- and 10-mm minimal margin (MM) volumes not covered by the AZ were defined as volumes of insufficient coverage (VICs). The intraprocedural and 4-8-week post-MWA VICs were compared as predictors of LTP using receiver operating characteristic curve analysis. RESULTS The median follow-up time was 19.6 months (interquartile range, 7.97-36.5 months). VICs for 5- and 10-mm MMs were predictive of LTP at both time assessments. The highest accuracy for the prediction of LTP was documented with the intra-ablation 5-mm VIC (area under the curve [AUC], 0.78; 95% confidence interval, 0.66-0.89). LTP for a VIC of 6-10-mm margin category was 11.4% compared with 4.3% for >10-mm margin category (P < .001). CONCLUSIONS A 3D 5-mm MM is a critical endpoint of thermal ablation, whereas optimal local tumor control is noted with a 10-mm MM. Higher AUCs for prediction of LTP were achieved for intraprocedural evaluation than for the 4-8-week postablation 3D evaluation of the AZ.
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Affiliation(s)
| | - Vlasios S Sotirchos
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Assen Kirov
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Daniel Lafontaine
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Mithat Gönen
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Randy Yeh
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Henry Kunin
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Elena N Petre
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Yuliya Kitsel
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Mohammad Elsayed
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Stephen B Solomon
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Joseph P Erinjeri
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Lawrence H Schwartz
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
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Wang JC, Jiang BB, Zhang ZY, Liu YH, Shao LJ, Wang S, Yang W, Wu W, Yan K. Predictive nomograms of repeat intrahepatic recurrence and overall survival after radiofrequency ablation of recurrent colorectal liver metastases. Int J Hyperthermia 2024; 41:2323152. [PMID: 38465646 DOI: 10.1080/02656736.2024.2323152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Accepted: 02/21/2024] [Indexed: 03/12/2024] Open
Abstract
OBJECTIVES This study was conducted to develop nomograms for predicting repeat intrahepatic recurrence (rIHR) and overall survival (OS), after radiofrequency ablation (RFA), treatment in patients with recurrent colorectal liver metastases (CLMs) after hepatectomy based on clinicopathologic features. METHODS A total of 160 consecutive patients with recurrent CLMs after hepatectomy who were treated with ultrasound-guided percutaneous RFA from 2012 to 2022 were retrospectively included. Patients were randomly divided into a training cohort and a validation cohort, with a ratio of 8:2. Potential prognostic factors associated with rIHR and OS, after RFA, were identified by using the competing-risks and Cox proportional hazard models, respectively, and were used to construct the nomogram. The nomogram was evaluated by Harrell's C-index and a calibration curve. RESULTS The 1-, 2-, and 3-year rIHR rates after RFA were 58.8%, 70.2%, and 74.2%, respectively. The 1-, 3- and 5-year OS rates were 96.3%, 60.4%, and 38.5%, respectively. In the multivariate analysis, mutant RAS, interval from hepatectomy to intrahepatic recurrence ≤ 12 months, CEA level >5 ng/ml, and ablation margin <5 mm were the independent predictive factors for rIHR. Mutant RAS, largest CLM at hepatectomy >3 cm, CEA level >5 ng/ml, and extrahepatic disease were independent predictors of poor OS. Two nomograms for rIHR and OS were constructed using the respective significant variables. In both cohorts, the nomogram demonstrated good discrimination and calibration. CONCLUSIONS The established nomograms can predict individual risk of rIHR and OS after RFA for recurrent CLMs and contribute to improving individualized management.
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Affiliation(s)
- Ji-Chen Wang
- Department of Ultrasound, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing, China
| | - Bin-Bin Jiang
- Department of Ultrasound, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing, China
| | - Zhong-Yi Zhang
- Department of Ultrasound, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing, China
| | - Yu-Hui Liu
- Department of Ultrasound, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing, China
| | - Li-Jin Shao
- Department of Ultrasound, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing, China
| | - Song Wang
- Department of Ultrasound, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing, China
| | - Wei Yang
- Department of Ultrasound, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing, China
| | - Wei Wu
- Department of Ultrasound, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing, China
| | - Kun Yan
- Department of Ultrasound, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing, China
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Zirakchian Zadeh M. PET/CT in assessment of colorectal liver metastases: a comprehensive review with emphasis on 18F-FDG. Clin Exp Metastasis 2023; 40:465-491. [PMID: 37682423 DOI: 10.1007/s10585-023-10231-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 08/21/2023] [Indexed: 09/09/2023]
Abstract
Approximately 25% of those who are diagnosed with colorectal cancer will develop colorectal liver metastases (CRLM) as their illness advances. Despite major improvements in both diagnostic and treatment methods, the prognosis for patients with CRLM is still poor, with low survival rates. Accurate employment of imaging methods is critical in identifying the most effective treatment approach for CRLM. Different imaging modalities are used to evaluate CRLM, including positron emission tomography (PET)/computed tomography (CT). Among the PET radiotracers, fluoro-18-deoxyglucose (18F-FDG), a glucose analog, is commonly used as the primary radiotracer in assessment of CRLM. As the importance of 18F-FDG-PET/CT continues to grow in assessment of CRLM, developing a comprehensive understanding of this subject becomes imperative for healthcare professionals from diverse disciplines. The primary aim of this article is to offer a simplified and comprehensive explanation of PET/CT in the evaluation of CRLM, with a deliberate effort to minimize the use of technical nuclear medicine terminology. This approach intends to provide various healthcare professionals and researchers with a thorough understanding of the subject matter.
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Affiliation(s)
- Mahdi Zirakchian Zadeh
- Molecular Imaging and Therapy and Interventional Radiology Services, Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA.
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Dzaye O, Cornelis FH, Kunin HS, Sofocleous CT. Advancements and Future Outlook of PET/CT-Guided Interventions. Tech Vasc Interv Radiol 2023; 26:100916. [PMID: 38071029 DOI: 10.1016/j.tvir.2023.100916] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
Advancements in minimally invasive technology, coupled with imaging breakthroughs, have empowered the field of interventional radiology to achieve unparalleled precision in image-guided diagnosis and treatment while simultaneously reducing periprocedural morbidity. Molecular imaging, which provides valuable physiological and metabolic information alongside anatomical localization, can expand the capabilities of image-guided interventions. Among various molecular imaging techniques, positron emission tomography (PET) stands out for its superior spatial resolution and ability to acquire quantitative data. PET has emerged as a crucial tool for oncologic imaging and plays a pivotal role in both staging and the assessment of treatment responses. Typically used in combination with computed tomography (CT) (PET/CT) and occasionally with magnetic resonance imaging MRI (PET/MRI), PET as a hybrid imaging approach offers enhanced insights into disease progression and response. In recent years, PET has also found its way into image-guided interventions, especially within the rapidly expanding field of interventional oncology. This review aims to explore the current and evolving role of metabolic imaging, specifically PET, in interventional oncology. By delving into the unique advantages and applications of PET in guiding oncological interventions and assessing response, we seek to highlight the increasing significance of this modality in the realm of interventional radiology.
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Affiliation(s)
- Omar Dzaye
- Interventional Radiology Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY; Molecular Imaging & Therapy Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Francois H Cornelis
- Interventional Radiology Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Henry S Kunin
- Interventional Radiology Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Constantinos T Sofocleous
- Interventional Radiology Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY.
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