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Beer L, Hochmair M, Widder J, Hoda MA, Helmberger T. ESR Bridges: lung cancer: new developments in imaging and treatment-a multidisciplinary view. Eur Radiol 2025:10.1007/s00330-025-11661-7. [PMID: 40347229 DOI: 10.1007/s00330-025-11661-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2025] [Revised: 04/02/2025] [Accepted: 04/28/2025] [Indexed: 05/12/2025]
Affiliation(s)
- Lucian Beer
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
- Christian Doppler Laboratory for Machine Learning Driven Precision Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
- Comprehensive Cancer Center Vienna, Medical University of Vienna, Vienna, Austria.
| | - Maximilian Hochmair
- Department of Respiratory and Critical Care Medicine, Karl Landsteiner Institute of Lung Research and Pulmonary Oncology, Klinik Floridsdorf, Vienna, Austria
| | - Joachim Widder
- Comprehensive Cancer Center Vienna, Medical University of Vienna, Vienna, Austria
- Department of Radiation Oncology, Medical University of Vienna, Vienna, Austria
| | - Mir Alireza Hoda
- Comprehensive Cancer Center Vienna, Medical University of Vienna, Vienna, Austria
- Department of Thoracic Surgery, Medical University of Vienna, Vienna, Austria
| | - Thomas Helmberger
- Department of Radiology, Neuroradiology and Minimal-Invasive Therapy, Klinikum Bogenhausen, Munich, Germany
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Matsui Y, Ueda D, Fujita S, Fushimi Y, Tsuboyama T, Kamagata K, Ito R, Yanagawa M, Yamada A, Kawamura M, Nakaura T, Fujima N, Nozaki T, Tatsugami F, Fujioka T, Hirata K, Naganawa S. Applications of artificial intelligence in interventional oncology: An up-to-date review of the literature. Jpn J Radiol 2025; 43:164-176. [PMID: 39356439 PMCID: PMC11790735 DOI: 10.1007/s11604-024-01668-3] [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: 08/20/2024] [Accepted: 09/23/2024] [Indexed: 10/03/2024]
Abstract
Interventional oncology provides image-guided therapies, including transarterial tumor embolization and percutaneous tumor ablation, for malignant tumors in a minimally invasive manner. As in other medical fields, the application of artificial intelligence (AI) in interventional oncology has garnered significant attention. This narrative review describes the current state of AI applications in interventional oncology based on recent literature. A literature search revealed a rapid increase in the number of studies relevant to this topic recently. Investigators have attempted to use AI for various tasks, including automatic segmentation of organs, tumors, and treatment areas; treatment simulation; improvement of intraprocedural image quality; prediction of treatment outcomes; and detection of post-treatment recurrence. Among these, the AI-based prediction of treatment outcomes has been the most studied. Various deep and conventional machine learning algorithms have been proposed for these tasks. Radiomics has often been incorporated into prediction and detection models. Current literature suggests that AI is potentially useful in various aspects of interventional oncology, from treatment planning to post-treatment follow-up. However, most AI-based methods discussed in this review are still at the research stage, and few have been implemented in clinical practice. To achieve widespread adoption of AI technologies in interventional oncology procedures, further research on their reliability and clinical utility is necessary. Nevertheless, considering the rapid research progress in this field, various AI technologies will be integrated into interventional oncology practices in the near future.
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Affiliation(s)
- Yusuke Matsui
- Department of Radiology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, 2-5-1 Shikata-Cho, Kita-Ku, Okayama, 700-8558, Japan.
| | - Daiju Ueda
- Department of Artificial Intelligence, Graduate School of Medicine, Osaka Metropolitan University, Abeno-Ku, Osaka, Japan
| | - Shohei Fujita
- Department of Radiology, Graduate School of Medicine and Faculty of Medicine, The University of Tokyo, Bunkyo-Ku, Tokyo, Japan
| | - Yasutaka Fushimi
- Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, Sakyoku, Kyoto, Japan
| | - Takahiro Tsuboyama
- Department of Radiology, Kobe University Graduate School of Medicine, Chuo-Ku, Kobe, Japan
| | - Koji Kamagata
- Department of Radiology, Juntendo University Graduate School of Medicine, Bunkyo-Ku, Tokyo, Japan
| | - Rintaro Ito
- Department of Radiology, Nagoya University Graduate School of Medicine, Showa-Ku, Nagoya, Japan
| | - Masahiro Yanagawa
- Department of Radiology, Osaka University Graduate School of Medicine, Suita-City, Osaka, Japan
| | - Akira Yamada
- Medical Data Science Course, Shinshu University School of Medicine, Matsumoto, Nagano, Japan
| | - Mariko Kawamura
- Department of Radiology, Nagoya University Graduate School of Medicine, Showa-Ku, Nagoya, Japan
| | - Takeshi Nakaura
- Department of Diagnostic Radiology, Kumamoto University Graduate School of Medicine, Chuo-Ku, Kumamoto, Japan
| | - Noriyuki Fujima
- Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, Kita-Ku, Sapporo, Japan
| | - Taiki Nozaki
- Department of Radiology, Keio University School of Medicine, Shinjuku-Ku, Tokyo, Japan
| | - Fuminari Tatsugami
- Department of Diagnostic Radiology, Hiroshima University, Minami-Ku, Hiroshima, Japan
| | - Tomoyuki Fujioka
- Department of Diagnostic Radiology, Tokyo Medical and Dental University, Bunkyo-Ku, Tokyo, Japan
| | - Kenji Hirata
- Department of Diagnostic Imaging, Graduate School of Medicine, Hokkaido University, Kita-Ku, Sapporo, Japan
| | - Shinji Naganawa
- Department of Radiology, Nagoya University Graduate School of Medicine, Showa-Ku, Nagoya, Japan
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Campbell WA, Makary MS. Advances in Image-Guided Ablation Therapies for Solid Tumors. Cancers (Basel) 2024; 16:2560. [PMID: 39061199 PMCID: PMC11274819 DOI: 10.3390/cancers16142560] [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: 05/26/2024] [Revised: 06/26/2024] [Accepted: 07/10/2024] [Indexed: 07/28/2024] Open
Abstract
Image-guided solid tumor ablation methods have significantly advanced in their capability to target primary and metastatic tumors. These techniques involve noninvasive or percutaneous insertion of applicators to induce thermal, electrochemical, or mechanical stress on malignant tissue to cause tissue destruction and apoptosis of the tumor margins. Ablation offers substantially lower risks compared to traditional methods. Benefits include shorter recovery periods, reduced bleeding, and greater preservation of organ parenchyma compared to surgical intervention. Due to the reduced morbidity and mortality, image-guided tumor ablation offers new opportunities for treatment in cancer patients who are not candidates for resection. Currently, image-guided ablation techniques are utilized for treating primary and metastatic tumors in various organs with both curative and palliative intent, including the liver, pancreas, kidneys, thyroid, parathyroid, prostate, lung, breast, bone, and soft tissue. The invention of new equipment and techniques is expanding the criteria of eligible patients for therapy, as now larger and more high-risk tumors near critical structures can be ablated. This article provides an overview of the different imaging modalities, noninvasive, and percutaneous ablation techniques available and discusses their applications and associated complications across various organs.
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Affiliation(s)
- Warren A. Campbell
- Division of Vascular and Interventional Radiology, Department of Radiology, University of Virginia, Charlottesville, VA 22903, USA
| | - Mina S. Makary
- Division of Vascular and Interventional Radiology, Department of Radiology, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA
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Muglia R, Marra P, Pinelli D, Dulcetta L, Carbone FS, Barbaro A, Celestino A, Colledan M, Sironi S. Technical and Clinical Outcomes of Laparoscopic-Laparotomic Hepatocellular Carcinoma Thermal Ablation with Microwave Technology: Case Series and Review of Literature. Cancers (Basel) 2023; 16:92. [PMID: 38201536 PMCID: PMC10778313 DOI: 10.3390/cancers16010092] [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: 11/08/2023] [Revised: 12/21/2023] [Accepted: 12/23/2023] [Indexed: 01/12/2024] Open
Abstract
PURPOSE To evaluate technical and clinical outcomes of intraoperative (laparoscopic/laparotomic) microwave ablation on HCC. MATERIALS AND METHODS This is a retrospective single-center study evaluating consecutive patients treated for very early/early-stage HCC with intraoperative microwave ablation from 1 July 2017 to 30 June 2023. In these patients, a percutaneous US-guided approach was excluded due to the nodule's suboptimal visibility or harmful location and liver resection for a deep position or adherences. Data about the clinical stage, surgical approach, liver pathology and nodules characteristics, technical success, complications, and follow-up were collected. Technical success was intended as the absence of locoregional persistence at follow-up CT/MRI controls. RESULTS A total of 36 cirrhotic patients (M:F = 30:6, median age 67 years) were enrolled; 18/36 (50%) had a single nodule, 13/36 (36%) had two, 4/36 had three (11%), and 1/36 had four (3%). Among the patients, 24 (67%) were treated with laparoscopy, and 12/36 (33%) with a laparotomic approach. Sixty HCCs of 16.5 mm (6-50 mm) were treated for 7 min (2-30 min) with 100 W of power. A total of 55 nodules (92%) were treated successfully and showed no residual enhancement at the first postoperative follow-up; the other 5/60 (8%) underwent chemo/radioembolization. There was one complication (3%): a biliary fistula treated with percutaneous drainage and glue embolization. The average hospital stay was 3.5 days (1-51 days), and patients were followed up on average for 238 days (13-1792 days). During follow-up, 5/36 patients (14%) underwent liver transplantation, 1/36 (2%) died during hospitalization and 1 after discharge. CONCLUSIONS Laparoscopic/laparotomic intraoperative HCC MW ablation is feasible in patients unsuitable for percutaneous approach or hepatic resection, with rare complications and with good technical and clinical outcomes.
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Affiliation(s)
- Riccardo Muglia
- Department of Radiology, Papa Giovanni XXIII Hospital, 24127 Bergamo, Italy; (P.M.); (L.D.); (F.S.C.)
- School of Medicine, University of Milano-Bicocca, 20126 Milano, Italy (A.C.)
| | - Paolo Marra
- Department of Radiology, Papa Giovanni XXIII Hospital, 24127 Bergamo, Italy; (P.M.); (L.D.); (F.S.C.)
- School of Medicine, University of Milano-Bicocca, 20126 Milano, Italy (A.C.)
| | - Domenico Pinelli
- Department of General Surgery, Papa Giovanni XXIII Hospital, 24127 Bergamo, Italy; (D.P.); (M.C.)
| | - Ludovico Dulcetta
- Department of Radiology, Papa Giovanni XXIII Hospital, 24127 Bergamo, Italy; (P.M.); (L.D.); (F.S.C.)
| | - Francesco Saverio Carbone
- Department of Radiology, Papa Giovanni XXIII Hospital, 24127 Bergamo, Italy; (P.M.); (L.D.); (F.S.C.)
| | - Alessandro Barbaro
- School of Medicine, University of Milano-Bicocca, 20126 Milano, Italy (A.C.)
| | - Antonio Celestino
- School of Medicine, University of Milano-Bicocca, 20126 Milano, Italy (A.C.)
| | - Michele Colledan
- Department of General Surgery, Papa Giovanni XXIII Hospital, 24127 Bergamo, Italy; (D.P.); (M.C.)
| | - Sandro Sironi
- Department of Radiology, Papa Giovanni XXIII Hospital, 24127 Bergamo, Italy; (P.M.); (L.D.); (F.S.C.)
- School of Medicine, University of Milano-Bicocca, 20126 Milano, Italy (A.C.)
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Umakoshi N, Matsui Y, Tomita K, Uka M, Kawabata T, Iguchi T, Hiraki T. Image-Guided Ablation Therapies for Extrahepatic Metastases from Hepatocellular Carcinoma: A Review. Cancers (Basel) 2023; 15:3665. [PMID: 37509326 PMCID: PMC10378118 DOI: 10.3390/cancers15143665] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 07/10/2023] [Accepted: 07/17/2023] [Indexed: 07/30/2023] Open
Abstract
The most common sites of extrahepatic metastases from hepatocellular carcinoma (HCC) are the lungs, intra-abdominal lymph nodes, bones, and adrenal glands, in that order. Although systemic therapies are a common treatment for patients with extrahepatic metastases, local ablative therapies for the extrahepatic metastatic lesions can be performed in selected patients. In this article, the literature on image-guided thermal ablation for metastasis to each organ was reviewed to summarize the current evidence. Radiofrequency ablation was the most commonly evaluated technique, and microwave ablation, cryoablation, and percutaneous ethanol injection were also utilized. The local control rate of thermal ablation therapy was relatively favorable, at approximately 70-90% in various organs. The survival outcomes varied among the studies, and several studies reported that the absence of viable intrahepatic lesions was associated with improved survival rates. Since only retrospective data from relatively small studies has been available thus far, more robust studies with prospective designs and larger cohorts are desired to prove the usefulness of thermal ablation for extrahepatic metastases from HCC.
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Affiliation(s)
- Noriyuki Umakoshi
- Department of Radiology, Okayama University Hospital, 2-5-1 Shikata-cho, Kitaku, Okayama 700-8558, Japan
| | - Yusuke Matsui
- Department of Radiology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, 2-5-1 Shikata-cho, Kitaku, Okayama 700-8558, Japan
| | - Koji Tomita
- Department of Radiology, Okayama University Hospital, 2-5-1 Shikata-cho, Kitaku, Okayama 700-8558, Japan
| | - Mayu Uka
- Department of Radiology, Okayama University Hospital, 2-5-1 Shikata-cho, Kitaku, Okayama 700-8558, Japan
| | - Takahiro Kawabata
- Department of Radiology, Okayama University Hospital, 2-5-1 Shikata-cho, Kitaku, Okayama 700-8558, Japan
| | - Toshihiro Iguchi
- Department of Radiological Technology, Okayama University Graduate School of Health Science, 2-5-1 Shikata-cho, Kitaku, Okayama 700-8558, Japan
| | - Takao Hiraki
- Department of Radiology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, 2-5-1 Shikata-cho, Kitaku, Okayama 700-8558, Japan
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Wang FM, Luo R, Tian JM, Liu H, Yang JJ. CT-Guided Percutaneous Cryoablation for Lung Metastasis of Colorectal Cancer: A Case Series. Technol Cancer Res Treat 2023; 22:15330338231201508. [PMID: 37735896 PMCID: PMC10515520 DOI: 10.1177/15330338231201508] [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: 01/06/2023] [Revised: 08/02/2023] [Accepted: 08/28/2023] [Indexed: 09/23/2023] Open
Abstract
PURPOSE This study aimed to evaluate the efficacy of computed tomography (CT) guided percutaneous cryoablation (CA) for the management of lung metastases in patients with metastatic colorectal cancer (mCRC). METHODS Retrospective analysis was performed on 38 mCRC patients with lung metastases, who underwent CT-guided percutaneous CA at our center from May 1, 2020 to November 1, 2021. The technical success rate, 1-year local control (LC) rate, recurrence-free survival (RFS) and treatment-related complications were analyzed. RESULTS The CA procedure was successfully performed in all patients, with a technical success rate of 100%. The 1-year LC rate was 94.7% (36/38), while 16 patients experienced new distant lung metastases during the follow-up period. The median RFS was 20 months (95% CI: 13.0-27.0). The median RFS of patients with and without extrapulmonary metastasis was 15 and 23 months, respectively. Complications were reported in 18 (47.4%) patients following the CA procedure. Pneumothorax was discovered in 15 (39.5%) patients, and five of these patients (13.2%) required chest tube intubation. Two patients (5.3%) presented with hemoptysis during the CA procedure. One patient developed subcutaneous emphysema as detected in the post-procedure follow-up imaging. All patients tolerated the peri-procedural pain well under local anesthesia, and the mean visual analog scale (VAS) score was 2.8. CONCLUSION Lung CA is a safe and well-tolerated treatment with a satisfactory local control rate for patients with lung metastases derived from mCRC.
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Affiliation(s)
- Fu-ming Wang
- Department of Interventional Radiology, Changhai Hospital, Second Military Medical University/Naval Medical University, Shanghai, China
| | - Rong Luo
- Department of Interventional Radiology, Changhai Hospital, Second Military Medical University/Naval Medical University, Shanghai, China
| | - Jin-ming Tian
- Department of Interventional Radiology, Changhai Hospital, Second Military Medical University/Naval Medical University, Shanghai, China
| | - Hang Liu
- Department of Interventional Radiology, Changhai Hospital, Second Military Medical University/Naval Medical University, Shanghai, China
| | - Ji-jin Yang
- Department of Interventional Radiology, Changhai Hospital, Second Military Medical University/Naval Medical University, Shanghai, China
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