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Gómez FM, Van der Reijd DJ, Panfilov IA, Baetens T, Wiese K, Haverkamp-Begemann N, Lam SW, Runge JH, Rice SL, Klompenhouwer EG, Maas M, Helmberger T, Beets-Tan RG. Imaging in interventional oncology, the better you see, the better you treat. J Med Imaging Radiat Oncol 2023; 67:895-902. [PMID: 38062853 DOI: 10.1111/1754-9485.13610] [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: 04/06/2023] [Accepted: 11/22/2023] [Indexed: 01/14/2024]
Abstract
Imaging and image processing is the fundamental pillar of interventional oncology in which diagnostic, procedure planning, treatment and follow-up are sustained. Knowing all the possibilities that the different image modalities can offer is capital to select the most appropriate and accurate guidance for interventional procedures. Despite there is a wide variability in physicians preferences and availability of the different image modalities to guide interventional procedures, it is important to recognize the advantages and limitations for each of them. In this review, we aim to provide an overview of the most frequently used image guidance modalities for interventional procedures and its typical and future applications including angiography, computed tomography (CT) and spectral CT, magnetic resonance imaging, Ultrasound and the use of hybrid systems. Finally, we resume the possible role of artificial intelligence related to image in patient selection, treatment and follow-up.
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Affiliation(s)
- Fernando M Gómez
- Grupo de Investigación Biomédica en Imagen, Instituto de Investigación Sanitaria La Fe, Valencia, Spain
- Área Clínica de Imagen Médica, Hospital Universitario y Politécnico La Fe, Valencia, Spain
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | | | - Ilia A Panfilov
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Tarik Baetens
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Kevin Wiese
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | | | - Siu W Lam
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Jurgen H Runge
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Samuel L Rice
- Radiology, Interventional Radiology Section, UT Southwestern Medical Center, Dallas, TX, USA
| | | | - Monique Maas
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Thomas Helmberger
- Institut für Radiologie, Neuroradiologie und Minimal-Invasive Therapie, München Klinik Bogenhausen, Munich, Germany
| | - Regina Gh Beets-Tan
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- GROW School for Oncology and Developmental Biology, University of Maastricht, Maastricht, The Netherlands
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Wang T, Li B, Shi H, Li P, Deng Y, Wang S, Luo Q, Xv D, He J, Wang S. Short-term PET-derived kinetic estimation for the diagnosis of hepatocellular carcinoma: a combination of the maximum-slope method and dual-input three-compartment model. Insights Imaging 2023; 14:98. [PMID: 37226012 DOI: 10.1186/s13244-023-01442-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Accepted: 04/24/2023] [Indexed: 05/26/2023] Open
Abstract
BACKGROUND Kinetic estimation provides fitted parameters related to blood flow perfusion and fluorine-18-fluorodeoxyglucose (18F-FDG) transport and intracellular metabolism to characterize hepatocellular carcinoma (HCC) but usually requires 60 min or more for dynamic PET, which is time-consuming and impractical in a busy clinical setting and has poor patient tolerance. METHODS This study preliminarily evaluated the equivalence of liver kinetic estimation between short-term (5-min dynamic data supplemented with 1-min static data at 60 min postinjection) and fully 60-min dynamic protocols and whether short-term 18F-FDG PET-derived kinetic parameters using a three-compartment model can be used to discriminate HCC from the background liver tissue. Then, we proposed a combined model, a combination of the maximum-slope method and a three-compartment model, to improve kinetic estimation. RESULTS There is a strong correlation between the kinetic parameters K1 ~ k3, HPI and [Formula: see text] in the short-term and fully dynamic protocols. With the three-compartment model, HCCs were found to have higher k2, HPI and k3 values than background liver tissues, while K1, k4 and [Formula: see text] values were not significantly different between HCCs and background liver tissues. With the combined model, HCCs were found to have higher HPI, K1 and k2, k3 and [Formula: see text] values than background liver tissues; however, the k4 value was not significantly different between HCCs and the background liver tissues. CONCLUSIONS Short-term PET is closely equivalent to fully dynamic PET for liver kinetic estimation. Short-term PET-derived kinetic parameters can be used to distinguish HCC from background liver tissue, and the combined model improves the kinetic estimation. CLINICAL RELEVANCE STATEMENT Short-term PET could be used for hepatic kinetic parameter estimation. The combined model could improve the estimation of liver kinetic parameters.
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Affiliation(s)
- Tao Wang
- Yunnan Key Laboratory of Artificial Intelligence, Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, 650500, Yunnan, China
| | - Boqiao Li
- Yunnan Key Laboratory of Artificial Intelligence, Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, 650500, Yunnan, China
| | - Hong Shi
- Yunnan Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, China
| | - Pengfei Li
- PET/CT Center, Affiliated Hospital of Kunming University of Science and Technology, First People's Hospital of Yunnan, Kunming, 650031, China
| | - Yinglei Deng
- PET/CT Center, Affiliated Hospital of Kunming University of Science and Technology, First People's Hospital of Yunnan, Kunming, 650031, China
| | - Siyu Wang
- PET/CT Center, Affiliated Hospital of Kunming University of Science and Technology, First People's Hospital of Yunnan, Kunming, 650031, China
| | - Qiao Luo
- PET/CT Center, Affiliated Hospital of Kunming University of Science and Technology, First People's Hospital of Yunnan, Kunming, 650031, China
| | - Dongdong Xv
- PET/CT Center, Affiliated Hospital of Kunming University of Science and Technology, First People's Hospital of Yunnan, Kunming, 650031, China
| | - Jianfeng He
- Yunnan Key Laboratory of Artificial Intelligence, Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, 650500, Yunnan, China.
| | - Shaobo Wang
- PET/CT Center, Affiliated Hospital of Kunming University of Science and Technology, First People's Hospital of Yunnan, Kunming, 650031, China.
- Yunnan Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, China.
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Li Z, Jiao D, Si G, Han X, Zhang W, Li Y, Zhou X, Liu J, Li J, Liu Z. Making timely remedial measures after TACE based on the results of cone-beam CT liver perfusion. Int J Hyperthermia 2021; 38:428-436. [PMID: 33691589 DOI: 10.1080/02656736.2021.1895331] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
OBJECTIVE To evaluate the feasibility and safety of using cone-beam CT (CBCT) to measure changes in parenchymal blood volume (PBV) of patients with hepatocellular carcinoma (HCC) after transcatheter arterial chemoembolization (TACE) and to guide microwave ablation (MWA) for residual tumors. METHODS A retrospective study was performed on 42 patients with HCC who completed TACE and received CBCT-guided perfusion imaging. The residual active lesions after TACE were supplemented with MWA to complete the treatment process according to the residual PBV. The outcomes were analyzed, including PBV changes, interventional-related complications, local tumor progression (LTP) and overall survival (OS). RESULTS Technical success was achieved in all lesions. Correlation analysis revealed that greater volume of residual PBV after MWA is negatively correlated with LTP. (p = .000); and the decrease of PBV was positively correlated with LTP (p = .000). All adverse events and complications were CTCAE Grade 1/2. After combination treatment, the 1-, 3-, and 5-year LTP-free survival were 97.6%, 69.0% and 15.1%, respectively, with a median LTP of 49.0 months (95% CI:43.129,54.871). Multivariate Cox regression revealed that the residual PBV > 13 ml/1000 was an independent factor predicting a shorter OS and LTP (Both p< .05). For LTP, multivariate Cox regression showed that a tumor in a single lesion were independently predicted to have a longer LTP in patients with HCC (p = .033). CONCLUSION CBCT is feasible and safe to use to measure changes in the PBV before and after TACE treatment, while it can also guide MWA for the treatment of residual tumors in one session.
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Affiliation(s)
- Zhaonan Li
- Department of Interventional Radiology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - DeChao Jiao
- Department of Interventional Radiology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Guangyan Si
- Department of Interventional Radiology, The Affiliated Hospital of Traditional Chinese Medicine of Southwest Medical University, Luzhou, China
| | - Xinwei Han
- Department of Interventional Radiology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Wenguang Zhang
- Department of Interventional Radiology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yahua Li
- Department of Interventional Radiology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xueliang Zhou
- Department of Interventional Radiology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Juanfang Liu
- Department of Interventional Radiology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jin Li
- Department of Interventional Radiology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Zaoqu Liu
- Department of Interventional Radiology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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Troeltzsch D, Niehues SM, Fluegge T, Neckel N, Heiland M, Hamm B, Shnayien S. The diagnostic performance of perfusion CT in the detection of local tumor recurrence in head and neck cancer. Clin Hemorheol Microcirc 2020; 76:171-177. [PMID: 32925013 DOI: 10.3233/ch-209209] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
BACKGROUND Detecting local tumor recurrence from post-treatment changes in head and neck cancer (HNC) remains a challenge. Based on the hypothesis that post-therapeutically altered tissue is bradytroph, lower perfusion values are expected in perfusion CT (PCT) while higher perfusion values are expected in recurrent malignant tissue. OBJECTIVES This prospective study investigates PCT for post-treatment recurrent HNC detection with a maximum slope algorithm. METHODS A total of 80 patients who received PCT of the head and neck for post-therapy follow-up, of which 63 had no tumor recurrence and 17 presented a histopathologically confirmed recurrence were examined. Regions of interest were placed in the location of the initial tumor, in reference ipsilateral nuchal muscle tissue and the corresponding internal carotid artery. Perfusion was calculated using a single-input maximum slope algorithm. RESULTS With PCT, recurrent HNC can be differentiated from post-treatment tissue (p < 0.05). It further allows delineating recurrent tumor tissue from benign nuchal tissue of reference (p < 0.05). PCT data of patients with and without recurrent HNC are comparable as perfusion values of reference tissues in patients with and without HNC do not differ (p > 0.05). CONCLUSIONS PCT in combination with a commercially available maximum slope algorithm offers radiologists a reliable imaging tool to detect recurrent head and neck cancer within post-therapeutically altered tissue.
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Affiliation(s)
- Daniel Troeltzsch
- Department of Oral and Maxillofacial Surgery, Charité -Universitätsmedizin Berlin, Berlin, Germany
| | | | - Tabea Fluegge
- Department of Oral and Maxillofacial Surgery, Charité -Universitätsmedizin Berlin, Berlin, Germany
| | - Norbert Neckel
- Department of Oral and Maxillofacial Surgery, Charité -Universitätsmedizin Berlin, Berlin, Germany
| | - Max Heiland
- Department of Oral and Maxillofacial Surgery, Charité -Universitätsmedizin Berlin, Berlin, Germany
| | - Bernd Hamm
- Department of Radiology Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Seyd Shnayien
- Department of Radiology Charité - Universitätsmedizin Berlin, Berlin, Germany
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