1
|
Liu LP, Pua R, Rosario-Berrios DN, Sandvold OF, Perkins AE, Cormode DP, Shapira N, Soulen MC, Noël PB. Reproducible spectral CT thermometry with liver-mimicking phantoms for image-guided thermal ablation. Phys Med Biol 2024; 69:045009. [PMID: 38252974 PMCID: PMC10839467 DOI: 10.1088/1361-6560/ad2124] [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: 11/01/2023] [Revised: 01/02/2024] [Accepted: 01/22/2024] [Indexed: 01/24/2024]
Abstract
Objectives. Evaluate the reproducibility, temperature tolerance, and radiation dose requirements of spectral CT thermometry in tissue-mimicking phantoms to establish its utility for non-invasive temperature monitoring of thermal ablations.Methods. Three liver mimicking phantoms embedded with temperature sensors were individually scanned with a dual-layer spectral CT at different radiation dose levels during heating (35 °C-80 °C). Physical density maps were reconstructed from spectral results using varying reconstruction parameters. Thermal volumetric expansion was then measured at each temperature sensor every 5 °C in order to establish a correlation between physical density and temperature. Linear regressions were applied based on thermal volumetric expansion for each phantom, and coefficient of variation for fit parameters was calculated to characterize reproducibility of spectral CT thermometry. Additionally, temperature tolerance was determined to evaluate effects of acquisition and reconstruction parameters. The resulting minimum radiation dose to meet the clinical temperature accuracy requirement was determined for each slice thickness with and without additional denoising.Results. Thermal volumetric expansion was robustly replicated in all three phantoms, with a correlation coefficient variation of only 0.43%. Similarly, the coefficient of variation for the slope and intercept were 9.6% and 0.08%, respectively, indicating reproducibility of the spectral CT thermometry. Temperature tolerance ranged from 2 °C to 23 °C, decreasing with increased radiation dose, slice thickness, and iterative reconstruction level. To meet the clinical requirement for temperature tolerance, the minimum required radiation dose ranged from 20, 30, and 57 mGy for slice thickness of 2, 3, and 5 mm, respectively, but was reduced to 2 mGy with additional denoising.Conclusions. Spectral CT thermometry demonstrated reproducibility across three liver-mimicking phantoms and illustrated the clinical requirement for temperature tolerance can be met for different slice thicknesses. The reproducibility and temperature accuracy of spectral CT thermometry enable its clinical application for non-invasive temperature monitoring of thermal ablation.
Collapse
Affiliation(s)
- Leening P Liu
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States of America
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, United States of America
| | - Rizza Pua
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States of America
| | - Derick N Rosario-Berrios
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States of America
- Department of Biochemistry and Biophysics, University of Pennsylvania, Philadelphia, PA, United States of America
| | - Olivia F Sandvold
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States of America
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, United States of America
| | - Amy E Perkins
- Philips Healthcare, Orange Village, OH, United States of America
| | - David P Cormode
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States of America
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, United States of America
| | - Nadav Shapira
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States of America
| | - Michael C Soulen
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States of America
| | - Peter B Noël
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States of America
| |
Collapse
|
2
|
Kostyrko B, Rubarth K, Althoff C, Poch FGM, Neizert CA, Zibell M, Gebauer B, Lehmann KS, Niehues SM, Mews J, Diekhoff T, Pohlan J. Computed tomography-based thermography (CTT) in microwave ablation: prediction of the heat ablation zone in the porcine liver. Insights Imaging 2023; 14:189. [PMID: 37962712 PMCID: PMC10645839 DOI: 10.1186/s13244-023-01537-z] [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: 09/01/2023] [Accepted: 10/09/2023] [Indexed: 11/15/2023] Open
Abstract
OBJECTIVES The aim of the study was to investigate computed tomography-based thermography (CTT) for ablation zone prediction in microwave ablation (MWA). METHODS CTT was investigated during MWA in an in vivo porcine liver. For CTT, serial volume scans were acquired every 30 s during ablations and every 60 s immediately after MWA. After the procedure, contrast-enhanced computed tomography (CECT) was performed. After euthanasia, the liver was removed for sampling and further examination. Color-coded CTT maps were created for visualization of ablation zones, which were compared with both CECT and macroscopy. Average CT attenuation values in Hounsfield units (HU) were statistically correlated with temperatures using Spearman's correlation coefficient. CTT was retrospectively evaluated in one patient who underwent radiofrequency ablation (RFA) treatment of renal cell carcinoma. RESULTS A significant correlation between HU and temperature was found with r = - 0.77 (95% confidence interval (CI), - 0.89 to - 0.57) and p < 0.001. Linear regression yielded a slope of - 1.96 HU/°C (95% CI, - 2.66 to - 1.26). Color-coded CTT maps provided superior visualization of ablation zones. CONCLUSION Our results show that CTT allows visualization of the ablation area and measurement of its size and is feasible in patients, encouraging further exploration in a clinical setting. CRITICAL RELEVANCE STATEMENT CT-based thermography research software allows visualization of the ablation zone and is feasible in patients, encouraging further exploration in a clinical setting to assess risk reduction of local recurrence.
Collapse
Affiliation(s)
- Bogdan Kostyrko
- Department of Radiology, Freie Universität Berlin and Humboldt-Universität Zu Berlin, Charitéplatz 1, 10117, Berlin, Germany.
| | - Kerstin Rubarth
- Institute of Biometry and Clinical Epidemiology, Freie Universität Berlin and Humboldt-Universität Zu Berlin, Charitéplatz 1, 10117, Berlin, Germany
- Institute of Medical Informatics, Freie Universität Berlin and Humboldt-Universität Zu Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Christian Althoff
- Department of Radiology, Freie Universität Berlin and Humboldt-Universität Zu Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Franz Gerd Martin Poch
- Department of General and Visceral Surgery, Freie Universität Berlin and Humboldt-Universität Zu Berlin, Hindenburgdamm 30, 12200, Berlin, Germany
| | - Christina Ann Neizert
- Department of General and Visceral Surgery, Freie Universität Berlin and Humboldt-Universität Zu Berlin, Hindenburgdamm 30, 12200, Berlin, Germany
| | - Miriam Zibell
- Department of General and Visceral Surgery, Freie Universität Berlin and Humboldt-Universität Zu Berlin, Hindenburgdamm 30, 12200, Berlin, Germany
| | - Bernhard Gebauer
- Department of Radiology, Freie Universität Berlin and Humboldt-Universität Zu Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Kai Siegfried Lehmann
- Department of General and Visceral Surgery, Freie Universität Berlin and Humboldt-Universität Zu Berlin, Hindenburgdamm 30, 12200, Berlin, Germany
| | - Stefan Markus Niehues
- Department of Radiology, Freie Universität Berlin and Humboldt-Universität Zu Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Jürgen Mews
- Canon Medical Systems Europe BV, Global Research & Development Center, Amstelveen, the Netherlands
| | - Torsten Diekhoff
- Department of Radiology, Freie Universität Berlin and Humboldt-Universität Zu Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Julian Pohlan
- Department of Radiology, Freie Universität Berlin and Humboldt-Universität Zu Berlin, Charitéplatz 1, 10117, Berlin, Germany
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
| |
Collapse
|
3
|
Liu LP, Pua R, Rosario-Berrios DN, Sandvold OF, Perkins AE, Cormode DP, Shapira N, Soulen MC, Noël PB. Reproducible spectral CT thermometry with liver-mimicking phantoms for image-guided thermal ablation. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.10.04.23296423. [PMID: 37873236 PMCID: PMC10593007 DOI: 10.1101/2023.10.04.23296423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Abstract
Objectives Evaluate the reproducibility, temperature sensitivity, and radiation dose requirements of spectral CT thermometry in tissue-mimicking phantoms to establish its utility for non-invasive temperature monitoring of thermal ablations. Materials and Methods Three liver mimicking phantoms embedded with temperature sensors were individually scanned with a dual-layer spectral CT at different radiation dose levels during heating and cooling (35 to 80 °C). Physical density maps were reconstructed from spectral results using a range of reconstruction parameters. Thermal volumetric expansion was then measured at each temperature sensor every 5°C in order to establish a correlation between physical density and temperature. Linear regressions were applied based on thermal volumetric expansion for each phantom, and coefficient of variation for fit parameters was calculated to characterize reproducibility of spectral CT thermometry. Additionally, temperature sensitivity was determined to evaluate the effect of acquisition parameters, reconstruction parameters, and image denoising. The resulting minimum radiation dose to meet the clinical temperature sensitivity requirement was determined for each slice thickness, both with and without additional denoising. Results Thermal volumetric expansion was robustly replicated in all three phantoms, with a correlation coefficient variation of only 0.43%. Similarly, the coefficient of variation for the slope and intercept were 9.6% and 0.08%, respectively, indicating reproducibility of the spectral CT thermometry. Temperature sensitivity ranged from 2 to 23 °C, decreasing with increased radiation dose, slice thickness, and iterative reconstruction level. To meet the clinical requirement for temperature sensitivity, the minimum required radiation dose ranged from 20, 30, and 57 mGy for slice thickness of 2, 3, and 5 mm, respectively, but was reduced to 2 mGy with additional denoising. Conclusions Spectral CT thermometry demonstrated reproducibility across three liver-mimicking phantoms and illustrated the clinical requirement for temperature sensitivity can be met for different slice thicknesses. Moreover, additional denoising enables the use of more clinically relevant radiation doses, facilitating the clinical translation of spectral CT thermometry. The reproducibility and temperature accuracy of spectral CT thermometry enable its clinical application for non-invasive temperature monitoring of thermal ablation.
Collapse
|
4
|
Decker JA, Risch F, Schwarz F, Scheurig-Muenkler C, Kroencke TJ. Improved Thermal Sensitivity Using Virtual Monochromatic Imaging Derived from Photon Counting Detector CT Data Sets: Ex Vivo Results of CT-Guided Cryoablation in Porcine Liver. Cardiovasc Intervent Radiol 2023; 46:1385-1393. [PMID: 37700006 PMCID: PMC10547619 DOI: 10.1007/s00270-023-03546-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 08/20/2023] [Indexed: 09/14/2023]
Abstract
PURPOSE To investigate differences in thermal sensitivity of virtual monoenergetic imaging (VMI) series generated from photon-counting detector (PCD) CT data sets, regarding their use to improve discrimination of the ablation zone during percutaneous cryoablation. MATERIALS AND METHODS CT-guided cryoablation was performed using an ex vivo model of porcine liver on a PCD-CT system. The ablation zone was imaged continuously for 8 min by acquiring a CT scan every 5 s. Tissue temperature was measured using fiberoptic temperature probes placed parallel to the cryoprobe. CT-values and noise were measured at the tip of the temperature probes on each scan and on VMI series from 40 to 130 keV. Correlation of CT-values and temperature was assessed using linear regression analyses. RESULTS For the whole temperature range of [- 40, + 20] °C, we observed a linear correlation between CT-values and temperature in reference 70 keV images (R2 = 0.60, p < 0.001) with a thermal sensitivity of 1.4HU/°C. For the most dynamic range of [- 15, + 20] °C, the sensitivity increased to 2.4HU/°C (R2 = 0.50, p < 0.001). Using VMI reconstructions, the thermal sensitivity increased from 1.4 HU/°C at 70 keV to 1.5, 1.7 and 2.0HU/°C at 60, 50 and 40 keV, respectively (range [- 40, + 20] °C). For [- 15, + 20]°C, the thermal sensitivity increased from 2.4HU/°C at 70 keV to 2.5, 2.6 and 2.7HU/°C at 60, 50 and 40 keV, respectively. Both CT-values and noise also increased with decreasing VMI keV-levels. CONCLUSION During CT-guided cryoablation of porcine liver, low-keV VMI reconstructions derived from PCD-CT data sets exhibit improved thermal sensitivity being highest between + 20 and - 15 °C.
Collapse
Affiliation(s)
- Josua A Decker
- Department of Diagnostic and Interventional Radiology, University Hospital Augsburg, Stenglinstr. 2, 86156, Augsburg, Germany
| | - Franka Risch
- Department of Diagnostic and Interventional Radiology, University Hospital Augsburg, Stenglinstr. 2, 86156, Augsburg, Germany
| | - Florian Schwarz
- Department of Diagnostic and Interventional Radiology, University Hospital Augsburg, Stenglinstr. 2, 86156, Augsburg, Germany
- Medical Faculty, Ludwig Maximilian University Munich, Bavariaring 19, 80336, Munich, Germany
- Diagnostic and Interventional Radiology, Donauisar Klinikum Deggendorf, Perlasberger Str. 41, 94469, Deggendorf, Germany
| | - Christian Scheurig-Muenkler
- Department of Diagnostic and Interventional Radiology, University Hospital Augsburg, Stenglinstr. 2, 86156, Augsburg, Germany
| | - Thomas J Kroencke
- Department of Diagnostic and Interventional Radiology, University Hospital Augsburg, Stenglinstr. 2, 86156, Augsburg, Germany.
- Centre for Advanced Analytics and Predictive Sciences, Augsburg University, Universitätsstr. 2, 86159, Augsburg, Germany.
| |
Collapse
|
5
|
Kostyrko B, Rubarth K, Althoff C, Zibell M, Neizert CA, Poch F, Torsello GF, Gebauer B, Lehmann K, Niehues SM, Mews J, Diekhoff T, Pohlan J. Evaluation of Different Registration Algorithms to Reduce Motion Artifacts in CT-Thermography (CTT). Diagnostics (Basel) 2023; 13:2076. [PMID: 37370971 DOI: 10.3390/diagnostics13122076] [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: 05/08/2023] [Revised: 06/06/2023] [Accepted: 06/12/2023] [Indexed: 06/29/2023] Open
Abstract
Computed tomography (CT)-based Thermography (CTT) is currently being investigated as a non-invasive temperature monitoring method during ablation procedures. Since multiple CT scans with defined time intervals were acquired during this procedure, interscan motion artifacts can occur between the images, so registration is required. The aim of this study was to investigate different registration algorithms and their combinations for minimizing inter-scan motion artifacts during thermal ablation. Four CTT datasets were acquired using microwave ablation (MWA) of normal liver tissue performed in an in vivo porcine model. During each ablation, spectral CT volume scans were sequentially acquired. Based on initial reconstructions, rigid or elastic registration, or a combination of these, were carried out and rated by 15 radiologists. Friedman's test was used to compare rating results in reader assessments and revealed significant differences for the ablation probe movement rating only (p = 0.006; range, 5.3-6.6 points). Regarding this parameter, readers assessed rigid registration as inferior to other registrations. Quantitative analysis of ablation probe movement yielded a significantly decreased distance for combined registration as compared with unregistered data. In this study, registration was found to have the greatest influence on ablation probe movement, with connected registration being superior to only one registration process.
Collapse
Affiliation(s)
- Bogdan Kostyrko
- Department of Radiology, Charité-Universitätsmedizin Berlin, Humboldt-Universität zu Berlin, Freie Universität Berlin, 10117 Berlin, Germany
| | - Kerstin Rubarth
- Institute for Biometry and Clinical Epidemiology, Charité-Universitätsmedizin Berlin, Humboldt-Universität zu Berlin, Freie Universität Berlin, 10117 Berlin, Germany
- Berlin Institute of Health, Charité-Universitätsmedizin Berlin, Humboldt-Universität zu Berlin, Freie Universität Berlin, 10178 Berlin, Germany
| | - Christian Althoff
- Department of Radiology, Charité-Universitätsmedizin Berlin, Humboldt-Universität zu Berlin, Freie Universität Berlin, 10117 Berlin, Germany
| | - Miriam Zibell
- Department of General and Visceral Surgery, Charité-Universitätsmedizin Berlin, Humboldt-Universität zu Berlin, Freie Universität Berlin, 12203 Berlin, Germany
| | - Christina Ann Neizert
- Department of General and Visceral Surgery, Charité-Universitätsmedizin Berlin, Humboldt-Universität zu Berlin, Freie Universität Berlin, 12203 Berlin, Germany
| | - Franz Poch
- Department of General and Visceral Surgery, Charité-Universitätsmedizin Berlin, Humboldt-Universität zu Berlin, Freie Universität Berlin, 12203 Berlin, Germany
| | - Giovanni Federico Torsello
- Department of Radiology, Charité-Universitätsmedizin Berlin, Humboldt-Universität zu Berlin, Freie Universität Berlin, 10117 Berlin, Germany
| | - Bernhard Gebauer
- Department of Radiology, Charité-Universitätsmedizin Berlin, Humboldt-Universität zu Berlin, Freie Universität Berlin, 10117 Berlin, Germany
| | - Kai Lehmann
- Department of General and Visceral Surgery, Charité-Universitätsmedizin Berlin, Humboldt-Universität zu Berlin, Freie Universität Berlin, 12203 Berlin, Germany
| | - Stefan Markus Niehues
- Department of Radiology, Charité-Universitätsmedizin Berlin, Humboldt-Universität zu Berlin, Freie Universität Berlin, 10117 Berlin, Germany
| | - Jürgen Mews
- Canon Medical Systems Europe BV, Global Research & Development Center, 2718 RP Zoetermeer, The Netherlands
| | - Torsten Diekhoff
- Department of Radiology, Charité-Universitätsmedizin Berlin, Humboldt-Universität zu Berlin, Freie Universität Berlin, 10117 Berlin, Germany
| | - Julian Pohlan
- Department of Radiology, Charité-Universitätsmedizin Berlin, Humboldt-Universität zu Berlin, Freie Universität Berlin, 10117 Berlin, Germany
- Berlin Institute of Health, Charité-Universitätsmedizin Berlin, Humboldt-Universität zu Berlin, Freie Universität Berlin, 10178 Berlin, Germany
| |
Collapse
|
6
|
Liu LP, Hwang M, Hung M, Soulen MC, Schaer TP, Shapira N, Noël PB. Non-invasive mass and temperature quantifications with spectral CT. Sci Rep 2023; 13:6109. [PMID: 37059839 PMCID: PMC10104802 DOI: 10.1038/s41598-023-33264-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Accepted: 04/11/2023] [Indexed: 04/16/2023] Open
Abstract
Spectral CT has been increasingly implemented clinically for its better characterization and quantification of materials through its multi-energy results. It also facilitates calculation of physical density, allowing for non-invasive mass measurements and temperature evaluations by manipulating the definition of physical density and thermal volumetric expansion, respectively. To develop spectral physical density quantifications, original and parametrized Alvarez-Macovski model and electron density-physical density model were validated with a phantom. The best physical density model was then implemented on clinical spectral CT scans of ex vivo bovine muscle to determine the accuracy and effect of acquisition parameters on mass measurements. In addition, the relationship between physical density and changes in temperature was evaluated by scanning and subjecting the tissue to a range of temperatures. The parametrized Alvarez-Macovski model performed best in both model development and validation with errors within ± 0.02 g/mL. No effect from acquisition parameters was observed in mass measurements, which demonstrated accuracy with a maximum percent error of 0.34%. Furthermore, physical density was strongly correlated (R of 0.9781) to temperature changes through thermal volumetric expansion. Accurate and precise spectral physical density quantifications enable non-invasive mass measurements for pathological detection and temperature evaluation for thermal therapy monitoring in interventional oncology.
Collapse
Affiliation(s)
- Leening P Liu
- Department of Radiology, University of Pennsylvania, Philadelphia, USA.
- Department of Bioengineering, University of Pennsylvania, Philadelphia, USA.
| | | | - Matthew Hung
- Department of Radiology, University of Pennsylvania, Philadelphia, USA
| | - Michael C Soulen
- Department of Radiology, University of Pennsylvania, Philadelphia, USA
| | - Thomas P Schaer
- Department of Clinical Studies, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, USA
| | - Nadav Shapira
- Department of Radiology, University of Pennsylvania, Philadelphia, USA
| | - Peter B Noël
- Department of Radiology, University of Pennsylvania, Philadelphia, USA
| |
Collapse
|
7
|
Dolganova IN, Zotov AK, Safonova LP, Aleksandrova PV, Reshetov IV, Zaytsev KI, Tuchin VV, Kurlov VN. Feasibility test of a sapphire cryoprobe with optical monitoring of tissue freezing. JOURNAL OF BIOPHOTONICS 2023; 16:e202200288. [PMID: 36510652 DOI: 10.1002/jbio.202200288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 11/22/2022] [Accepted: 11/29/2022] [Indexed: 06/17/2023]
Abstract
This article describes a sapphire cryoprobe as a promising solution to the significant problem of modern cryosurgery that is the monitoring of tissue freezing. This probe consists of a sapphire rod manufactured by the edge-defined film-fed growth technique from Al2 O3 melt and optical fibers accommodated inside the rod and connected to the source and the detector. The probe's design enables detection of spatially resolved diffuse reflected intensities of tissue optical response, which are used for the estimation of tissue freezing depth. The current type of the 12.5-mm diameter sapphire probe cooled down by the liquid nitrogen assumes a superficial cryoablation. The experimental test made by using a gelatin-intralipid tissue phantom shows the feasibility of such concept, revealing the capabilities of monitoring the freezing depth up to 10 mm by the particular instrumentation realization of the probe. This justifies a potential of sapphire-based instruments aided by optical diagnosis in modern cryosurgery.
Collapse
Affiliation(s)
- Irina N Dolganova
- Osipyan Institute of Solid State Physics of the Russian Academy of Sciences, Chernogolovka, Russia
| | - Arsen K Zotov
- Osipyan Institute of Solid State Physics of the Russian Academy of Sciences, Chernogolovka, Russia
| | | | - Polina V Aleksandrova
- Prokhorov General Physics Institute of the Russian Academy of Sciences, Moscow, Russia
| | - Igor V Reshetov
- Institute for Cluster Oncology, Sechenov University, Moscow, Russia
| | - Kirill I Zaytsev
- Prokhorov General Physics Institute of the Russian Academy of Sciences, Moscow, Russia
| | - Valery V Tuchin
- Science Medical Center, Saratov State University, Saratov, Russia
- Institute of Precision Mechanics and Control, FRC "Saratov Scientific Centre of the Russian Academy of Sciences", Saratov, Russia
- Tomsk State University, Tomsk, Russia
| | - Vladimir N Kurlov
- Osipyan Institute of Solid State Physics of the Russian Academy of Sciences, Chernogolovka, Russia
| |
Collapse
|
8
|
De Tommasi F, Massaroni C, Grasso RF, Carassiti M, Schena E. Temperature Monitoring in Hyperthermia Treatments of Bone Tumors: State-of-the-Art and Future Challenges. SENSORS (BASEL, SWITZERLAND) 2021; 21:5470. [PMID: 34450911 PMCID: PMC8400360 DOI: 10.3390/s21165470] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Revised: 08/05/2021] [Accepted: 08/10/2021] [Indexed: 12/22/2022]
Abstract
Bone metastases and osteoid osteoma (OO) have a high incidence in patients facing primary lesions in many organs. Radiotherapy has long been the standard choice for these patients, performed as stand-alone or in conjunction with surgery. However, the needs of these patients have never been fully met, especially in the ones with low life expectancy, where treatments devoted to pain reduction are pivotal. New techniques as hyperthermia treatments (HTs) are emerging to reduce the associated pain of bone metastases and OO. Temperature monitoring during HTs may significantly improve the clinical outcomes since the amount of thermal injury depends on the tissue temperature and the exposure time. This is particularly relevant in bone tumors due to the adjacent vulnerable structures (e.g., spinal cord and nerve roots). In this Review, we focus on the potential of temperature monitoring on HT of bone cancer. Preclinical and clinical studies have been proposed and are underway to investigate the use of different thermometric techniques in this scenario. We review these studies, the principle of work of the thermometric techniques used in HTs, their strengths, weaknesses, and pitfalls, as well as the strategies and the potential of improving the HTs outcomes.
Collapse
Affiliation(s)
- Francesca De Tommasi
- Unit of Measurements and Biomedical Instrumentations, Department of Engineering, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 00128 Rome, Italy; (F.D.T.); (C.M.)
| | - Carlo Massaroni
- Unit of Measurements and Biomedical Instrumentations, Department of Engineering, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 00128 Rome, Italy; (F.D.T.); (C.M.)
| | - Rosario Francesco Grasso
- Unit of Interventional Radiology, School of Medicine, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 00128 Rome, Italy;
| | - Massimiliano Carassiti
- Unit of Anesthesia, Intensive Care and Pain Management, School of Medicine, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 00128 Rome, Italy;
| | - Emiliano Schena
- Unit of Measurements and Biomedical Instrumentations, Department of Engineering, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 00128 Rome, Italy; (F.D.T.); (C.M.)
| |
Collapse
|
9
|
Heinrich A, Schenkl S, Buckreus D, Güttler FV, Teichgräber UKM. CT-based thermometry with virtual monoenergetic images by dual-energy of fat, muscle and bone using FBP, iterative and deep learning-based reconstruction. Eur Radiol 2021; 32:424-431. [PMID: 34327575 PMCID: PMC8660750 DOI: 10.1007/s00330-021-08206-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Accepted: 07/07/2021] [Indexed: 12/24/2022]
Abstract
Objectives The aim of this study was to evaluate the sensitivity of CT-based thermometry for clinical applications regarding a three-component tissue phantom of fat, muscle and bone. Virtual monoenergetic images (VMI) by dual-energy measurements and conventional polychromatic 120-kVp images with modern reconstruction algorithms adaptive statistical iterative reconstruction-Volume (ASIR-V) and deep learning image reconstruction (DLIR) were compared. Methods A temperature-regulating water circuit system was developed for the systematic evaluation of the correlation between temperature and Hounsfield units (HU). The measurements were performed on a Revolution CT with gemstone spectral imaging technology (GSI). Complementary measurements were performed without GSI (voltage 120 kVp, current 130–545 mA). The measured object was a tissue equivalent phantom in a temperature range of 18 to 50°C. The evaluation was carried out for VMI at 40 to 140 keV and polychromatic 120-kVp images. Results The regression analysis showed a significant inverse linear dependency between temperature and average HU regardless of ASIR-V and DLIR. VMI show a higher temperature sensitivity compared to polychromatic images. The temperature sensitivities were 1.25 HU/°C (120 kVp) and 1.35 HU/°C (VMI at 140 keV) for fat, 0.38 HU/°C (120 kVp) and 0.47 HU/°C (VMI at 40 keV) for muscle and 1.15 HU/°C (120 kVp) and 3.58 HU/°C (VMI at 50 keV) for bone. Conclusions Dual-energy with VMI enables a higher temperature sensitivity for fat, muscle and bone. The reconstruction with ASIR-V and DLIR has no significant influence on CT-based thermometry, which opens up the potential of drastic dose reductions. Key Points • Virtual monoenergetic images (VMI) enable a higher temperature sensitivity for fat (8%), muscle (24%) and bone (211%) compared to conventional polychromatic 120-kVp images. • With VMI, there are parameters, e.g. monoenergy and reconstruction kernel, to modulate the temperature sensitivity. In contrast, there are no parameters to influence the temperature sensitivity for conventional polychromatic 120-kVp images. • The application of adaptive statistical iterative reconstruction-Volume (ASIR-V) and deep learning–based image reconstruction (DLIR) has no effect on CT-based thermometry, opening up the potential of drastic dose reductions in clinical applications.
Collapse
Affiliation(s)
- Andreas Heinrich
- Department of Radiology, Jena University Hospital - Friedrich Schiller University, Am Klinikum 1, 07747, Jena, Germany.
| | - Sebastian Schenkl
- Institute of Forensic Medicine, Jena University Hospital - Friedrich Schiller University, Am Klinikum 1, 07747, Jena, Germany
| | - David Buckreus
- Department of Radiology, Jena University Hospital - Friedrich Schiller University, Am Klinikum 1, 07747, Jena, Germany
| | - Felix V Güttler
- Department of Radiology, Jena University Hospital - Friedrich Schiller University, Am Klinikum 1, 07747, Jena, Germany
| | - Ulf K-M Teichgräber
- Department of Radiology, Jena University Hospital - Friedrich Schiller University, Am Klinikum 1, 07747, Jena, Germany
| |
Collapse
|
10
|
Zaltieri M, Massaroni C, Cauti FM, Schena E. Techniques for Temperature Monitoring of Myocardial Tissue Undergoing Radiofrequency Ablation Treatments: An Overview. SENSORS (BASEL, SWITZERLAND) 2021; 21:1453. [PMID: 33669692 PMCID: PMC7922285 DOI: 10.3390/s21041453] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Revised: 02/12/2021] [Accepted: 02/16/2021] [Indexed: 12/18/2022]
Abstract
Cardiac radiofrequency ablation (RFA) has received substantial attention for the treatment of multiple arrhythmias. In this scenario, there is an ever-growing demand for monitoring the temperature trend inside the tissue as it may allow an accurate control of the treatment effects, with a consequent improvement of the clinical outcomes. There are many methods for monitoring temperature in tissues undergoing RFA, which can be divided into invasive and non-invasive. This paper aims to provide an overview of the currently available techniques for temperature detection in this clinical scenario. Firstly, we describe the heat generation during RFA, then we report the principle of work of the most popular thermometric techniques and their features. Finally, we introduce their main applications in the field of cardiac RFA to explore the applicability in clinical settings of each method.
Collapse
Affiliation(s)
- Martina Zaltieri
- Department of Engineering, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 00128 Rome, Italy; (M.Z.); (C.M.)
| | - Carlo Massaroni
- Department of Engineering, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 00128 Rome, Italy; (M.Z.); (C.M.)
| | - Filippo Maria Cauti
- Arrhythmology Unit, Cardiology Division, S. Giovanni Calibita Hospital, Isola Tiberina, 00186 Rome, Italy;
| | - Emiliano Schena
- Department of Engineering, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 00128 Rome, Italy; (M.Z.); (C.M.)
| |
Collapse
|
11
|
Zotov AK, Gavdush AA, Katyba GM, Safonova LP, Chernomyrdin NV, Dolganova IN. In situ terahertz monitoring of an ice ball formation during tissue cryosurgery: a feasibility test. JOURNAL OF BIOMEDICAL OPTICS 2021; 26:JBO-200372SSR. [PMID: 33506657 PMCID: PMC7839928 DOI: 10.1117/1.jbo.26.4.043003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2020] [Accepted: 01/07/2021] [Indexed: 05/03/2023]
Abstract
SIGNIFICANCE Uncontrolled cryoablation of tissues is a strong reason limiting the wide application of cryosurgery and cryotherapy due to the certain risks of unpredicted damaging of healthy tissues. The existing guiding techniques are unable to be applied in situ or provide insufficient spatial resolution. Terahertz (THz) pulsed spectroscopy (TPS) based on sensitivity of THz time-domain signal to changes of tissue properties caused by freezing could form the basis of an instrument for observation of the ice ball formation. AIM The ability of TPS for in situ monitoring of tissue freezing depth is studied experimentally. APPROACH A THz pulsed spectrometer operated in reflection mode and equipped with a cooled sample holder and ex vivo samples of bovine visceral adipose tissue is applied. Signal spectrograms are used to analyze the changes of THz time-domain signals caused by the interface between frozen and unfrozen tissue parts. RESULTS Experimental observation of TPS signals reflected from freezing tissue demonstrates the feasibility of TPS to detect ice ball formation up to 657-μm depth. CONCLUSIONS TPS could become the promising instrument for in situ control of cryoablation, enabling observation of the freezing front propagation, which could find applications in various fields of oncology, regenerative medicine, and THz biophotonics.
Collapse
Affiliation(s)
- Arsen K. Zotov
- Institute of Solid State Physics of the Russian Academy of Sciences, Chernogolovka, Russia
| | - Arsenii A. Gavdush
- Prokhorov General Physics Institute of the Russian Academy of Sciences, Moscow, Russia
| | - Gleb M. Katyba
- Institute of Solid State Physics of the Russian Academy of Sciences, Chernogolovka, Russia
- Bauman Moscow State Technical University, Moscow, Russia
| | | | - Nikita V. Chernomyrdin
- Prokhorov General Physics Institute of the Russian Academy of Sciences, Moscow, Russia
- Bauman Moscow State Technical University, Moscow, Russia
- Sechenov First Moscow State Medical University (Sechenov University), Institute for Regenerative Medicine, Moscow, Russia
| | - Irina N. Dolganova
- Institute of Solid State Physics of the Russian Academy of Sciences, Chernogolovka, Russia
- Bauman Moscow State Technical University, Moscow, Russia
- Sechenov First Moscow State Medical University (Sechenov University), Institute for Regenerative Medicine, Moscow, Russia
- Address all correpsondence to Irina N. Dolganova,
| |
Collapse
|