Magneettikuvauksella ohjattu korkean intensiteetin kohdennettu ultraääniteknologia syöpätautien liitännäishoidoissa ja syöpälääkkeiden annostelussa

Ablative hyperthermia (more than 55 °C) has been used as a stand-alone treatment for accessible solid tumors not amenable to surgery, whereas mild hyperthermia (40-45 °C) has been shown effective as an adjuvant for both radiotherapy and chemotherapy. An optimal mild hyperthermia treatment is noninvasive and spatially accurate, with precise and homogeneous heating limited to the target region. High-intensity focused ultrasound (HIFU) can noninvasively heat solid tumors deep within the human body. Magnetic resonance imaging (MRI) is ideal for HIFU treatment planning and monitoring in real time due to its superior soft-tissue contrast, high spatial imaging resolution, and the ability to measure temperature changes. The combination of MRI and HIFU therapy is known as magnetic resonance-guided high-intensity focused ultrasound (MR-HIFU). Low temperature-sensitive liposomes (LTSLs) release their drug cargo in response to heat (more than 40 °C) and may improve drug delivery to solid tumors when combined with mild hyperthermia. MR-HIFU provides a way to image and control content release from imageable low-temperature sensitive liposomes (iLTSLs). This ability may enable spatiotemporal control over drug delivery - a concept known as drug dose painting. The objectives of this dissertation work were to develop and implement a clinically relevant volumetric mild hyperthermia heating algorithm, to implement and characterize different sonication approaches (multiple foci vs. single focus), and to evaluate the ability to monitor and control heating in real time using MR-HIFU. In addition, the ability of MR-HIFU to induce the release of a clinical-grade cancer drug encapsulated in LTSLs was investigated, and the potential of MR-HIFU mediated mild hyperthermia for clinical translation as an image-guided drug delivery method was explored. Finally, drug and contrast agent release of iLTSLs as well as the ability of MR-HIFU to induce and monitor the content release were examined, and a computational model that simulates MR-HIFU tissue heating and drug delivery was validated. The combination of a multifoci sonication approach and the mild hyperthermia heating algorithm resulted in precise and homogeneous heating limited to the targeted region both in vitro and in vivo. Heating was more spatially confined compared to the use of single focus sonication method. The improvement in spatial control suggests that multifoci heating is a useful tool in MR-HIFU mediated mild hyperthermia applications for clinical oncology. Using the mild hyperthermia heating algorithm, LTSL + MR-HIFU resulted in significantly higher tumor drug concentrations compared to free drug and LTSL alone. This technique has potential for clinical translation as an image-guided drug delivery method. MR-HIFU also enabled real-time monitoring and control of iLTSL content release. Finally, computational models may allow quantitative in silico comparison of different MR-HIFU heating algorithms as well as facilitate therapy planning for this drug delivery technique.Ablatiivista hypertermiaa (yli 55 °C) on perinteisesti käytetty leikkauksiin soveltumattomien kasvainten hoitoon. Lievän hypertermian (40-45 °C) on sen sijaan todettu olevan tehokas liitännäishoito syöpätautien säde- ja lääkehoidoille. Suotuisa hypertermiahoito on kajoamatonta ja täsmällisesti kohdistettua. Lämmityksen tulisi lisäksi olla tarkkaa, tasalaatuista ja kohdealueeseen rajoittunutta. Korkean intensiteetin kohdennettu ultraääni (HIFU) -hoito mahdollistaa kasvainten kajoamattoman lämmityksen. Magneettikuvauksen (MK) etuina ovat erinomainen pehmytkudoskontrasti, korkea paikkaresoluutio ja kyky mitata lämpötilan muutoksia. Näin ollen MK soveltuu erinomaisesti HIFU -hoitojen suunnitteluun ja seurantaan. MK:n ja HIFU:n yhdistelmää kutsutaan magneettikuvauksella ohjatuksi korkean intensiteetin kohdennetuksi ultraääniteknologiaksi (MR-HIFU). Lämpötilaherkät liposomit ovat suunniteltuja vapauttamaan lääkeainesisältönsä hieman normaalia ruumiinlämpötilaa korkeammissa lämpötiloissa (yli 40 °C). Yhdessä lievän hypertermian kanssa tämänkaltaiset liposomit voivat mahdollistaa kohdistetun lääkeaineen vapauttamisen. Liposomien sisällön vapautumisen tarkkailu voi myös mahdollistaa tarkan lääkemäärän kohdistetun annostelun kasvaimessa. Väitöskirjatyössä kehitettiin kliinisesti merkittävä lämmitysalgoritmi lievän hypertermian aikaansaamiseksi, toteutettiin usean samanaikaisen kohteen sonikaatio (ultraäänialtistus) menetelmä sekä arvioitiin algoritmin ja menetelmän kykyä kontrolloida kudoksen lämpötilaa käyttäen kliinistä MR-HIFU laitetta. Lisäksi tutkittiin HIFU:n kykyä vapauttaa lääkeaine lämpötilaherkistä liposomeista, karakterisoitiin lääke- ja kontrastiaineen vapautuminen kuvannettavissa olevista lämpötilaherkistä liposomeista sekä tarkasteltiin MR-HIFU:lla aikaansaadun lievän hypertermian potentiaalia kohdentaa lääkeaineen vapautuminen kasvaimeen. Tässä työssä myös validoitiin laskennallinen malli, joka simuloi MR-HIFU:lla aikaansaatua lämmitystä ja siitä johtuvaa lääkeaineen vapautumista, sekä todennettiin MR-HIFU:n sopivuus lämpöablaatioon perustuvaan kohdun pehmytkudoskasvainten hoitomenelmään kliinisessä käytössä. Lievän hypertermian lämmitysalgoritmi yhdessä usean kohteen sonikaatiomenetelmän kanssa tuotti täsmällisen, tasalaatuisen sekä paikallisesti rajoitetun lämmityksen kohdealueessa. Usean kohteen sonikaatiomenetelmä voi siis olla hyödyllinen työkalu MR-HIFU:n lievän hypertermian syöpähoidon sovelluksissa. MR-HIFU yhdessä lämpötilaherkkien liposomien kanssa sai aikaan merkittävästi korkeamman kasvaimen lääkeainekonsentraation verrokkiryhmiin nähden, ja saattaa siten soveltua kliiniseen käyttöön kuvantamisavusteisena lääkehoitona. Liposomien sisällön (lääkeaine + MK-kontrastiaine) vapautumisen kuvannettavuus merkitsee, että MR-HIFU saattaa lisäksi mahdollistaa tarkan lääkeannoksen kohdistetun vapauttamisen

New Technology and Techniques for Needle-Based Magnetic Resonance Image-Guided Prostate Focal Therapy

The most common diagnosis of prostate cancer is that of localized disease, and unfortunately the optimal type of treatment for these men is not yet certain. Magnetic resonance image (MRI)-guided focal laser ablation (FLA) therapy is a promising potential treatment option for select men with localized prostate cancer, and may result in fewer side effects than whole-gland therapies, while still achieving oncologic control. The objective of this thesis was to develop methods of accurately guiding needles to the prostate within the bore of a clinical MRI scanner for MRI-guided FLA therapy. To achieve this goal, a mechatronic needle guidance system was developed. The system enables precise targeting of prostate tumours through angulated trajectories and insertion of needles with the patient in the bore of a clinical MRI scanner. After confirming sufficient accuracy in phantoms, and good MRI-compatibility, the system was used to guide needles for MRI-guided FLA therapy in eight patients. Results from this case series demonstrated an improvement in needle guidance time and ease of needle delivery compared to conventional approaches. Methods of more reliable treatment planning were sought, leading to the development of a systematic treatment planning method, and Monte Carlo simulations of needle placement uncertainty. The result was an estimate of the maximum size of focal target that can be confidently ablated using the mechatronic needle guidance system, leading to better guidelines for patient eligibility. These results also quantified the benefit that could be gained with improved techniques for needle guidance

Image-guidance and computational modeling to develop and characterize microwave thermal therapy platforms

Doctor of PhilosophyDepartment of Electrical and Computer EngineeringPunit PrakashThis dissertation focuses on the development of magnetic resonance imaging (MRI)-guided microwave thermal therapy systems for driving experimental studies in small animals, and to experimentally validate computational models of microwave ablation, which are widely employed for device design and characterization. MRI affords noninvasive monitoring of spatial temperature profiles, thereby providing a means to to quantitatively monitor and verify delivery of prescribed thermal doses in experimental studies and clinical use, as well as a means to validate thermal profiles predicted by computational models of thermal therapy. A contribution of this dissertation is the development and demonstration of a system for delivering mild hyperthermia to small animal targets, thereby providing a platform for driving basic research studies investigating the use of heating as part of cancer treatment strategies. An experimentally validated 3D computational model was employed to design and characterize a non-invasive directional water-cooled microwave hyperthermia applicator for MRI guided delivery of hypethermia in small animals. Following a parametric model-based design approach, a reflector aperture angle of 120°, S-shaped monopole antenna with 0.6 mm displacement, and a coolant flow rate of 150 ml/min were selected as applicator parameters that enable conformal delivery of mild hyperthermia to tumors in experimental animals. The system was integrated with real-time high-field 14.1 T MRI thermometry and feedback control to monitor and maintain target temperature elevations in the range of 4 – 5 °C (hypethermic range). 2 - 4 mm diameter targets positioned 1 – 3 mm from the applicator surface were heated to hyperthermic temperatures, with target coverage ratio ranging between 76 - 93 % and 11 – 26 % of non-targeted tissue heated. Another contribution of this dissertation is using computational models to determine how the fibroids altered ablation profile of a microwave applicator for global endometrial ablation. Uterine fibroids are benign pelvic tumors located within the myometrium or endometrium,and may alter the profile of microwave ablation applicators deployed within the uterus for delivering endometrial ablation. A 3D computational model was employed to investigate the effect of 1 – 3 cm diameter uterine fibroids in different locations around the uterine cavity on endometrial ablation profiles of microwave exposure with a 915 MHz microwave triangular loop antenna. The maximum change in simulated ablation depths due to the presence of fibroids was 1.1 mm. In summary, this simulation study suggests that 1 – 3 cm diameter uterine fibroids can be expected to have minimal impact on the extent of microwave endometrial ablation patterns achieved with the applicator studied in this dissertation. Another contribution of this dissertation is the development of a method for experimental validation of 3D transient temperature profiles predicted by computational models of MWA. An experimental platform was developed integrating custom designed MR-conditional MWA applicators for use within the MR environment. This developed platform was employed to conduct 30 - 50 W, 5 - 10 min MWA experiments in ex vivo tissue. Microwave ablation computational models, mimicking the experimental setting in MRI, were implemented using the finite element method, and incorporated temperature-dependent changes in tissue physical properties. MRI-derived Arrhenius thermal damage maps were compared to Model-predicted ablation zone extents using the Dice similarity coefficient (DSC). Mean absolute error between MR temperature measurements and fiber-optic temperature probes, used to validate the accuracy of MR temperature measurements, during heating was in the range of 0.5 – 2.8 °C. The mean DSC between model-predicted ablation zones and MRI-derived Arrhenius thermal damage maps for 13 experimental set-ups was 0.95. When comparing simulated and experimentally (i.e. using MRI) measured temperatures, the mean absolute error (MAE %) relative to maximum temperature change was in the range 5 % - 8.5 %

Doctor of Philosophy

dissertationMinimally invasive thermal therapy under Magnetic Resonance Imaging (MRI) guidance is becoming popular with several applications in the process of getting FDA approval. The ability to determine in near real-time the temperature map of a tumor and its surrounding tissue makes MR thermometry very attractive and well suited for thermal treatment. The proton resonance frequency shift (PRF) is currently the gold standard method for temperature monitoring using MRI. However, its incapacity to measure temperature in fatty tissue limits the scope of its applicability. The spin lattice relaxation time T1, on the other hand, has shown good temperature sensitivity and works well in all types of tissues. In this dissertation, we have addressed a number of challenges currently affecting MRI thermometry. A non-CPMG Turbo Spin Echo (TSE) sequence has been implemented to monitor the temperature rise due to the high RF power deposition inherent to this sequence at high field (3T and higher). This new implementation allows TSE sequences to be used safely without altering their high contrast properties which make them appealing in clinical settings. Tissue damage assessment during thermal therapy is critical for the safety of the patient. We have developed a new hybrid PRF-T1 sequence that has the capability to provide simultaneously in near real-time the temperature map and T1 information, which is a good indication of the state of the tissue. The simplicity and the real-time capability of the newly developed sequence make it an ideal tool for tissue damage assessment. Temperature monitoring during thermal therapy in organs with large fat content have been hindered by the lack of an MRI thermometry method that can provide simultaneous temperature in fat and aqueous tissue. A new sequence and acquisition scheme have been developed to address this issue. In sum, this dissertation proposed several pulse sequence implementation techniques and an acquisition scheme to overcome some of the limitations of MR thermometry

Computer-Assisted Planning and Robotics in Epilepsy Surgery

Epilepsy is a severe and devastating condition that affects ~1% of the population. Around 30% of these patients are drug-refractory. Epilepsy surgery may provide a cure in selected individuals with drug-resistant focal epilepsy if the epileptogenic zone can be identified and safely resected or ablated. Stereoelectroencephalography (SEEG) is a diagnostic procedure that is performed to aid in the delineation of the seizure onset zone when non-invasive investigations are not sufficiently informative or discordant. Utilizing a multi-modal imaging platform, a novel computer-assisted planning (CAP) algorithm was adapted, applied and clinically validated for optimizing safe SEEG trajectory planning. In an initial retrospective validation study, 13 patients with 116 electrodes were enrolled and safety parameters between automated CAP trajectories and expert manual plans were compared. The automated CAP trajectories returned statistically significant improvements in all of the compared clinical metrics including overall risk score (CAP 0.57 +/- 0.39 (mean +/- SD) and manual 1.00 +/- 0.60, p < 0.001). Assessment of the inter-rater variability revealed there was no difference in external expert surgeon ratings. Both manual and CAP electrodes were rated as feasible in 42.8% (42/98) of cases. CAP was able to provide feasible electrodes in 19.4% (19/98), whereas manual planning was able to generate a feasible electrode in 26.5% (26/98) when the alternative generation method was not feasible. Based on the encouraging results from the retrospective analysis a prospective validation study including an additional 125 electrodes in 13 patients was then undertaken to compare CAP to expert manual plans from two neurosurgeons. The manual plans were performed separately and blindly from the CAP. Computer-generated trajectories were found to carry lower risks scores (absolute difference of 0.04 mm (95% CI = -0.42-0.01), p = 0.04) and were subsequently implanted in all cases without complication. The pipeline has been fully integrated into the clinical service and has now replaced manual SEEG planning at our institution. Further efforts were then focused on the distillation of optimal entry and target points for common SEEG trajectories and applying machine learning methods to develop an active learning algorithm to adapt to individual surgeon preferences. Thirty-two patients were prospectively enrolled in the study. The first 12 patients underwent prospective CAP planning and implantation following the pipeline outlined in the previous study. These patients were used as a training set and all of the 108 electrodes after successful implantation were normalized to atlas space to generate ‘spatial priors’, using a K-Nearest Neighbour (K-NN) classifier. A subsequent test set of 20 patients (210 electrodes) were then used to prospectively validate the spatial priors. From the test set, 78% (123/157) of the implanted trajectories passed through both the entry and target spatial priors defined from the training set. To improve the generalizability of the spatial priors to other neurosurgical centres undertaking SEEG and to take into account the potential for changing institutional practices, an active learning algorithm was implemented. The K-NN classifier was shown to dynamically learn and refine the spatial priors. The progressive refinement of CAP SEEG planning outlined in this and previous studies has culminated in an algorithm that not only optimizes the surgical heuristics and risk scores related to SEEG planning but can also learn from previous experience. Overall, safe and feasible trajectory schema were returning in 30% of the time required for manual SEEG planning. Computer-assisted planning was then applied to optimize laser interstitial thermal therapy (LITT) trajectory planning, which is a minimally invasive alternative to open mesial temporal resections, focal lesion ablation and anterior 2/3 corpus callosotomy. We describe and validate the first CAP algorithm for mesial temporal LITT ablations for epilepsy treatment. Twenty-five patients that had previously undergone LITT ablations at a single institution and with a median follow up of 2 years were included. Trajectory parameters for the CAP algorithm were derived from expert consensus to maximize distance from vasculature and ablation of the amygdalohippocampal complex, minimize collateral damage to adjacent brain structures whilst avoiding transgression of the ventricles and sulci. Trajectory parameters were also optimized to reduce the drilling angle to the skull and overall catheter length. Simulated cavities attributable to the CAP trajectories were calculated using a 5-15 mm ablation diameter. In comparison to manually planned and implemented LITT trajectories,CAP resulted in a significant increase in the percentage ablation of the amygdalohippocampal complex (manual 57.82 +/- 15.05% (mean +/- S.D.) and unablated medial hippocampal head depth (manual 4.45 +/- 1.58 mm (mean +/- S.D.), CAP 1.19 +/- 1.37 (mean +/- S.D.), p = 0.0001). As LITT ablation of the mesial temporal structures is a novel procedure there are no established standards for trajectory planning. A data-driven machine learning approach was, therefore, applied to identify hitherto unknown CAP trajectory parameter combinations. All possible combinations of planning parameters were calculated culminating in 720 unique combinations per patient. Linear regression and random forest machine learning algorithms were trained on half of the data set (3800 trajectories) and tested on the remaining unseen trajectories (3800 trajectories). The linear regression and random forest methods returned good predictive accuracies with both returning Pearson correlations of ρ = 0.7 and root mean squared errors of 0.13 and 0.12 respectively. The machine learning algorithm revealed that the optimal entry points were centred over the junction of the inferior occipital, middle temporal and middle occipital gyri. The optimal target points were anterior and medial translations of the centre of the amygdala. A large multicenter external validation study of 95 patients was then undertaken comparing the manually planned and implemented trajectories, CAP trajectories targeting the centre of the amygdala, the CAP parameters derived from expert consensus and the CAP trajectories utilizing the machine learning derived parameters. Three external blinded expert surgeons were then selected to undertake feasibility ratings and preference rankings of the trajectories. CAP generated trajectories result in a significant improvement in many of the planning metrics, notably the risk score (manual 1.3 +/- 0.1 (mean +/- S.D.), CAP 1.1 +/- 0.2 (mean +/- S.D.), p<0.000) and overall ablation of the amygdala (manual 45.3 +/- 22.2 % (mean +/- S.D.), CAP 64.2 +/- 20 % (mean +/- S.D.), p<0.000). Blinded external feasibility ratings revealed that manual trajectories were less preferable than CAP planned trajectories with an estimated probability of being ranked 4th (lowest) of 0.62. Traditional open corpus callosotomy requires a midline craniotomy, interhemispheric dissection and disconnection of the rostrum, genu and body of the corpus callosum. In cases where drop attacks persist a completion corpus callosotomy to disrupt the remaining fibres in the splenium is then performed. The emergence of LITT technology has raised the possibility of being able to undertake this procedure in a minimally invasive fashion and without the need for a craniotomy using two or three individual trajectories. Early case series have shown LITT anterior two-thirds corpus callosotomy to be safe and efficacious. Whole-brain probabilistic tractography connectomes were generated utilizing 3-Tesla multi-shell imaging data and constrained spherical deconvolution (CSD). Two independent blinded expert neurosurgeons with experience of performing the procedure using LITT then planned the trajectories in each patient following their current clinical practice. Automated trajectories returned a significant reduction in the risk score (manual 1.3 +/- 0.1 (mean +/- S.D.), CAP 1.1 +/- 0.1 (mean +/- S.D.), p<0.000). Finally, we investigate the different methods of surgical implantation for SEEG electrodes. As an initial study, a systematic review and meta-analysis of the literature to date were performed. This revealed a wide variety of implantation methods including traditional frame-based, frameless, robotic and custom-3D printed jigs were being used in clinical practice. Of concern, all comparative reports from institutions that had changed from one implantation method to another, such as following the introduction of robotic systems, did not undertake parallel-group comparisons. This suggests that patients may have been exposed to risks associated with learning curves and potential harms related to the new device until the efficacy was known. A pragmatic randomized control trial of a novel non-CE marked robotic trajectory guidance system (iSYS1) was then devised. Before clinical implantations began a series of pre-clinical investigations utilizing 3D printed phantom heads from previously implanted patients was performed to provide pilot data and also assess the surgical learning curve. The surgeons had comparatively little clinical experience with the new robotic device which replicates the introduction of such novel technologies to clinical practice. The study confirmed that the learning curve with the iSYS1 devices was minimal and the accuracies and workflow were similar to the conventional manual method. The randomized control trial represents the first of its kind for stereotactic neurosurgical procedures. Thirty-two patients were enrolled with 16 patients randomized to the iSYS1 intervention arm and 16 patients to the manual implantation arm. The intervention allocation was concealed from the patients. The surgical and research team could be not blinded. Trial management, independent data monitoring and trial steering committees were convened at four points doing the trial (after every 8 patients implanted). Based on the high level of accuracy required for both methods, the main distinguishing factor would be the time to achieve the alignment to the prespecified trajectory. The primary outcome for comparison, therefore, was the time for individual SEEG electrode implantation. Secondary outcomes included the implantation accuracy derived from the post-operative CT scan, infection, intracranial haemorrhage and neurological deficit rates. Overall, 32 patients (328 electrodes) completed the trial (16 in each intervention arm) and the baseline demographics were broadly similar between the two groups. The time for individual electrode implantation was significantly less with the iSYS1 device (median of 3.36 (95% CI 5.72 to 7.07) than for the PAD group (median of 9.06 minutes (95% CI 8.16 to 10.06), p=0.0001). Target point accuracy was significantly greater with the PAD (median of 1.58 mm (95% CI 1.38 to 1.82) compared to the iSYS1 (median of 1.16 mm (95% CI 1.01 to 1.33), p=0.004). The difference between the target point accuracies are not clinically significant for SEEG but may have implications for procedures such as deep brain stimulation that require higher placement accuracy. All of the electrodes achieved their respective intended anatomical targets. In 12 of 16 patients following robotic implantations, and 10 of 16 following manual PAD implantations a seizure onset zone was identified and resection recommended. The aforementioned systematic review and meta-analysis were updated to include additional studies published during the trial duration. In this context, the iSYS1 device entry and target point accuracies were similar to those reported in other published studies of robotic devices including the ROSA, Neuromate and iSYS1. The PAD accuracies, however, outperformed the previously published results for other frameless stereotaxy methods. In conclusion, the presented studies report the integration and validation of a complex clinical decision support software into the clinical neurosurgical workflow for SEEG planning. The stereotactic planning platform was further refined by integrating machine learning techniques and also extended towards optimisation of LITT trajectories for ablation of mesial temporal structures and corpus callosotomy. The platform was then used to seamlessly integrate with a novel trajectory planning software to effectively and safely guide the implantation of the SEEG electrodes. Through a single-blinded randomised control trial, the ISYS1 device was shown to reduce the time taken for individual electrode insertion. Taken together, this work presents and validates the first fully integrated stereotactic trajectory planning platform that can be used for both SEEG and LITT trajectory planning followed by surgical implantation through the use of a novel trajectory guidance system

Review of optical breast imaging and spectroscopy

Diffuse optical imaging and spectroscopy of the female breast is an area of active research. We review the present status of this field and discuss the broad range of methodologies and applications. Starting with a brief overview on breast physiology, the remodeling of vasculature and extracellular matrix caused by solid tumors is highlighted that is relevant for contrast in optical imaging. Then, the various instrumental techniques and the related methods of data analysis and image generation are described and compared including multimodality instrumentation, fluorescence mammography, broadband spectroscopy, and diffuse correlation spectroscopy. We review the clinical results on functional properties of malignant and benign breast lesions compared to host tissue and discuss the various methods to improve contrast between healthy and diseased tissue, such as enhanced spectroscopic information, dynamic variations of functional properties, pharmacokinetics of extrinsic contrast agents, including the enhanced permeability and retention effect. We discuss research on monitoring neoadjuvant chemotherapy and on breast cancer risk assessment as potential clinical applications of optical breast imaging and spectroscopy. Moreover, we consider new experimental approaches, such as photoacoustic imaging and long-wavelength tissue spectroscopy