X-ray-based virtual slicing of TB-infected lungs

Hollow organs such as the lungs pose a considerable challenge for post-mortem imaging in preclinical research owing to their extremely low contrast and high structural complexity. The aim of our study was to enhance the contrast of tuberculosis lesions for their stratification by 3D x-ray&-based virtual slicing. Organ samples were taken from five control and five tuberculosis-infected mice. Micro-Computed Tomography (CT) scans of the subjects were acquired in vivo (without contrast agent) and post-mortem (with contrast agent). The proposed contrast-enhancing technique consists of x-ray contrast agent uptake (silver nitrate and iodine) by immersion. To create the histology ground-truth, the CT scan of the paraffin block guided the sectioning towards specific planes of interest. The digitalized histological slides reveal the presence, extent, and appearance of the contrast agents in lung structures and organized aggregates of immune cells. These findings correlate with the contrast-enhanced micro-CT slice. The abnormal densities in the lungs due to tuberculosis disease are concentrated in the right tail of the lung intensity histograms. The increase in the width of the right tail (~376%) indicates a contrast enhancement of the details of the abnormal densities. Postmortem contrast agents enhance the x-ray attenuation in tuberculosis lesions to allow 3D visualization by polychromatic x-ray CT, providing an advantageous tool for virtual slicing of whole lungs. The proposed contrast-enhancing technique combined with computational methods and the diverse micro-CT modalities will open the doors to the stratification of lesion types associated with infectious diseases.The research leading to these results received funding from the Innovative Medicines Initiative (www.imi.europa.eu) Joint Undertaking under grant agreement no. 115337, whose resources comprise funding from the European Union Seventh Framework Programme (FP7/2007–2013) and EFPIA companies in kind contribution. This work was partially funded by projects RTC-2015-3772-1, TEC2015-73064-EXP and TEC2016-78052-R from the Spanish Ministry of Economy, TOPUS S2013/MIT-3024 project from the regional government of Madrid and by the Department of Health, UK. This study (was supported by the Instituto de Salud Carlos III (Plan Estatal de I + D + i 2013–2016) and co-financed by the European Social Fund (ESF) “ESF investing in your future”. The authors thank Dr.Guembe from CIMA-Universidad de Navarra for preparing and staining the tissue sections, and to Dr. Guerrero-Aspizua and Prof. Conti of the Department of Bioengineering, Universidad Carlos III de Madrid for the pathology evaluation

Evaluation of novel positron emission tomography radiotracers in humans: tissue distribution kinetics and potential for cancer diagnosis and staging

Positron emission tomography (PET) imaging has emerged as an important decision-making tool in oncology with respect to diagnosis, staging, and assessment of treatment response. We proposed to investigate the ligand binding and retention kinetics of two novel PET/CT tracers in human tumours that do not normally exhibit high [18F]fluorodeoxyglucose ([18F]FDG) uptake, and a third tracer in the context of specific death mechanism. Biological validation of the imaging endpoint included histological correlation with PET/CT data and establishment of an optimum PET/CT methodologies for the probe for implementation into clinical practice. The internal dosimetry and receptor-mediated tumour localisation of the ‘click’ labelled [18F]fluoroethyl triazole octreotate analogue, [18F]FET-βAG-TOCA, in neuroendocrine tumours (NETs) were investigated for the first time in humans. The biomarker demonstrated favourable dosimetry, biodistribution and safety. The calculated effective dose over all subjects (mean ± SD) was 0.029 ± 0.004 mSv/MBq. Regarding staging, [18F]FET-βAG-TOCA PET/CT showed high tumoural uptake with high sensitivity (per lesion) compared with [68Ga]DOTATATE PET/CT (92.8% vs 87.5%). Tissue retention kinetics of the novel choline analogue, [18F]fluoromethyl-[1,2-2H4]- choline ([18F]D4-FCH) were investigated in the staging of muscle invasive bladder cancer (MIBC) and non-small cell lung cancer (NSCLC). The biomarker showed high contrast in lung cancer but poor contrast in bladder cancer. In lung tumours, [18F]D4-FCH uptake was quantitatively lower than [18F]FDG. Pharmacokinetic modelling revealed net tracer influx in tumour consistent with radiotracer phosphorylation via choline kinase, however choline kinase-alpha expression did not correlate with PET parameters. Beyond staging, we evaluated for the first time a caspase-3/7 imaging biomarker, [18F](S)- 1-((1-(2-fluoroethyl)-1H-[1,2,3]-triazol-4-yl)methyl)-5-(2(2,4-difluorophenoxymethyl)- 8 pyrrolidine-1-sulfonyl) ([18F]ICMT-11), for imaging apoptosis and/or necrosis in patients; [18F]FDG-PET is not a marker of caspase-3/7 activation. In breast cancer, lung cancer and lymphoma patients receiving first-line chemotherapy treatment, [18F]ICMT-11 and cytokeratin-18 analysis (blood) were performed. [18F]ICMT-11 showed low uptake pre- and post-chemotherapy in all tumours consistent with unremarkable changes in M30/M60 cytokeratin-18 cleavage products in the breast cohort suggesting a lack of predominantly apoptotic cell death mechanism in responding patients. In lung cancer, multi-parametric [18F]ICMT-11 PET/CT, diffusion weighted (DW-MRI) and dynamic contrast enhanced-MRI (DCE-MRI) showed that PET changes were concordant with cell death in the absence of significant perfusion changes. Thus, tumour response could occur in the absence of predominant chemotherapy-induced caspase-3/7 activation measured non-invasively across entire tumour lesions. In conclusion, the optimal clinical context whereby the [18F]ICMT-11 PET endpoint critically determines the outcome of therapy remains to be established.Open Acces

Nuclear Imaging and Therapy:Towards a Personalized Approach in HCC and NET

This thesis explores new applications of nuclear imaging and therapy in patients with hepatocellular carcinoma (HCC) and neuroendocrine tumors (NET). These diseases are often detected late, making curative therapy not always possible. Developments in positron emission tomography (PET) and radionuclide therapy have led to new nuclear agents. The aim of this thesis is to provide insight into several new applications of current and new tracers in the diagnosis and treatment of HCC and NET.One of the investigated tracers is 18F-DOPA, which is currently used for NET tumors that are negative on 68Ga-labeled somatostatin analog (SSA) PET scans. Our study confirms the equivalent detection of 18F-DOPA in tumor detection compared to 68Ga-SSAs. Selective internal radiation therapy (SIRT) uses yttrium-90 radioactive resin spheres that are intravascularly injected into the liver. Higher than usual dosages (>120 Gy) appear to lead to better results in tumor reduction and the effects not only seem to be greater but also longer lasting.Furthermore, we demonstrated that 11C-Choline and 18F-FDG together find more tumors that are relevant for clinical decision-making in patients suspected of HCC recurrence. The thesis also offers two prospective study protocols, namely a comparison of 68Ga-DOTA-TOC with the new somatostatin tracer 18F-SiTATE in NET and a comparison of ablation with SIRT as a bridge strategy in liver transplantation. These results suggest that broader use of 18F-DOPA in PET diagnosis of NET is possible and that higher tumor-targeted dosages in SIRT can lead to better treatment

Heterogeneidad tumoral en imágenes PET-CT

Tesis inédita de la Universidad Complutense de Madrid, Facultad de Ciencias Físicas, Departamento de Estructura de la Materia, Física Térmica y Electrónica, leída el 28/01/2021Cancer is a leading cause of morbidity and mortality [1]. The most frequent cancers worldwide are non–small cell lung carcinoma (NSCLC) and breast cancer [2], being their management a challenging task [3]. Tumor diagnosis is usually made through biopsy [4]. However, medical imaging also plays an important role in diagnosis, staging, response to treatment, and recurrence assessment [5]. Tumor heterogeneity is recognized to be involved in cancer treatment failure, with worse clinical outcomes for highly heterogeneous tumors [6,7]. This leads to the existence of tumor sub-regions with different biological behavior (some more aggressive and treatment-resistant than others) [8-10]. Which are characterized by a different pattern of vascularization, vessel permeability, metabolism, cell proliferation, cell death, and other features, that can be measured by modern medical imaging techniques, including positron emission tomography/computed tomography (PET/CT) [10-12]. Thus, the assessment of tumor heterogeneity through medical images could allow the prediction of therapy response and long-term outcomes of patients with cancer [13]. PET/CT has become essential in oncology [14,15] and is usually evaluated through semiquantitative metabolic parameters, such as maximum/mean standard uptake value (SUVmax, SUVmean) or metabolic tumor volume (MTV), which are valuables as prognostic image-based biomarkers in several tumors [16-17], but these do not assess tumor heterogeneity. Likewise, fluorodeoxyglucose (18F-FDG) PET/CT is important to differentiate malignant from benign solitary pulmonary nodules (SPN), reducing so the number of patients who undergo unnecessary surgical biopsies. Several publications have shown that some quantitative image features, extracted from medical images, are suitable for diagnosis, tumor staging, the prognosis of treatment response, and long-term evolution of cancer patients [18-20]. The process of extracting and relating image features with clinical or biological variables is called “Radiomics” [9,20-24]. Radiomic parameters, such as textural features have been related directly to tumor heterogeneity [25]. This thesis investigated the relationships of the tumor heterogeneity, assessed by 18F-FDG-PET/CT texture analysis, with metabolic parameters and pathologic staging in patients with NSCLC, and explored the diagnostic performance of different metabolic, morphologic, and clinical criteria for classifying (malignant or not) of solitary pulmonary nodules (SPN). Furthermore, 18F-FDG-PET/CT radiomic features of patients with recurrent/metastatic breast cancer were used for constructing predictive models of response to the chemotherapy, based on an optimal combination of several feature selection and machine learning (ML) methods...El cáncer es una de las principales causas de morbilidad y mortalidad. Los más frecuentes son el carcinoma de pulmón de células no pequeñas (NSCLC) y el cáncer de mama, siendo su tratamiento un reto. El diagnóstico se suele realizar mediante biopsia. La heterogeneidad tumoral (HT) está implicada en el fracaso del tratamiento del cáncer, con peores resultados clínicos para tumores muy heterogéneos. Esta conduce a la existencia de subregiones tumorales con diferente comportamiento biológico (algunas más agresivas y resistentes al tratamiento); las cuales se caracterizan por diferentes patrones de vascularización, permeabilidad de los vasos sanguíneos, metabolismo, proliferación y muerte celular, que se pueden medir mediante imágenes médicas, incluida la tomografía por emisión de positrones/tomografía computarizada con fluorodesoxiglucosa (18F-FDG-PET/CT). La evaluación de la HT a través de imágenes médicas, podría mejorar la predicción de la respuesta al tratamiento y de los resultados a largo plazo, en pacientes con cáncer. La 18F-FDG-PET/CT es esencial en oncología, generalmente se evalúa con parámetros metabólicos semicuantitativos, como el valor de captación estándar máximo/medio (SUVmáx, SUVmedio) o el volumen tumoral metabólico (MTV), que tienen un gran valor pronóstico en varios tumores, pero no evalúan la HT. Asimismo, es importante para diferenciar los nódulos pulmonares solitarios (NPS) malignos de los benignos, reduciendo el número de pacientes que van a biopsias quirúrgicas innecesarias. Publicaciones recientes muestran que algunas características cuantitativas, extraídas de las imágenes médicas, son robustas para diagnóstico, estadificación, pronóstico de la respuesta al tratamiento y la evolución, de pacientes con cáncer. El proceso de extraer y relacionar estas características con variables clínicas o biológicas se denomina “Radiomica”. Algunos parámetros radiómicos, como la textura, se han relacionado directamente con la HT. Esta tesis investigó las relaciones entre HT, evaluada mediante análisis de textura (AT) de imágenes 18F-FDG-PET/CT, con parámetros metabólicos y estadificación patológica en pacientes con NSCLC, y exploró el rendimiento diagnóstico de diferentes criterios metabólicos, morfológicos y clínicos para la clasificación de NPS. Además, se usaron características radiómicas de imágenes 18F-FDG-PET/CT de pacientes con cáncer de mama recurrente/metastásico, para construir modelos predictivos de la respuesta a la quimioterapia, combinándose varios métodos de selección de características y aprendizaje automático (ML)...Fac. de Ciencias FísicasTRUEunpu

Development of novel imaging biomarkers using positron emission tomography for characterization of malignant phenotype and response evaluation

Positron emission tomography (PET) enables noninvasive tumour imaging, as changes in metabolic activity secondary to therapy can be measured before changes in tumour size are evident on standard anatomic imaging. Two imaging approaches representing proliferation dependent and independent technologies are evolving as potential methods for assessing growth signalling and, thus, treatment response: [18F]3’-deoxy-3’-fluorothymidine (FLT) and [11C]choline. The validity of the former in patients with pancreatic cancer is unproven and likewise, the role of the latter in response to androgen deprivation/radiotherapy in prostate cancer (PCa) remains unexplored. Using a variety of approaches, the aim of this thesis was to provide an understanding of the role of these tracers in lesion detection and response assessment in patients by PET/computed tomography (PET/CT). Given the high physiological hepatic localisation of FLT, a recently reported kinetic spatial filtering (KSF) algorithm was evaluated as a way to de-noise abdominal FLT-PET data from patients with advanced pancreatic cancer. Application of KSF led to improved lesion detection. FLT uptake (SUV60,max) significantly increased in mid-treatment (gemcitabine based) progressors (p=0.04). In this limited number of patients, reduction in FLT uptake did not predict overall survival. The role of [11C]choline PET/CT in lesion detection and response in prostate cancer (PCa) was also investigated using semi-quantitative and quantitative methods. As a prelude to the quantitative imaging studies, it was established that irreversible tracer uptake characterised tumour (breast cancer) [11C]choline kinetics. Similar irreversible uptake characterised PCa. An important finding was that tumour [11C]choline uptake (in 29 PCa patients) correlated with choline kinase (CHK) expression but not proliferation, as assessed by Ki67 labelling index. Immunohistochemistry of the above patients’ prostate cores with CHKα antibody demonstrated a spectrum of CHKα expression, ranging from expression in prostatic-intraepithelial-neoplasia to low to high expression in malignant cores. These findings were further corroborated in a larger cohort of 75 malignant cores derived from non-imaging studies. Having established [11C]choline as a proliferation independent marker of growth, its role in assessing treatment response was investigated. [11C]choline PET was sensitive to metabolic changes within prostate tumours following androgen deprivation and radical radiotherapy. While promising data were obtained with [11C]choline PET, the radiotracer is subject to metabolic degradation complicating data analysis. To this end, a novel metabolically stable analogue of choline ([18F]fluoromethyl-[1,2-2H4]-choline ([18F]D4FCH)) was transitioned into volunteers and patients to study its pharmacokinetics and preliminary diagnostic potential. This tracer embodies deuterium isotope substitution as a means to discourage systemic metabolism. The radiotracer had favourable dosimetry (effective-dose: 0.025mSv/MBq) and safety. Preliminary results in non-small cell lung cancer showed that the tracer is taken up in tumours. Further studies are warranted to characterise this new tracer in different tumour types. As a prelude to imaging cancer cell death in tumours, a caspase-3 specific radiotracer, [18F](S)-1-((1-(2-fluoroethyl)-1H-[1,2,3]-triazol-4-yl)methyl)-5-(2(2,4- difluorophenoxymethyl)-pyrrolidine-1-sulfonyl) isatin ([18F]ICMT-11) was also transitioned into volunteers. The radiotracer had favourable dosimetry (effective-dose: 0.025mSv/MBq) and safety. In summary, FLT-PET/CT combined with KSF and [11C]choline PET/CT were shown to be promising methods for imaging early treatment response in patients. Further work will be required to evaluate the clinical relevance of these data in terms of overall patient outcome. Furthermore, a new choline-based radiotracer and a caspase-3 specific radiotracer have been transitioned into humans.Open Acces

Quantitative PET and SPECT

Since the introduction of personalized medicine, the primary focus of imaging has moved from detection and diagnosis to tissue characterization, the determination of prognosis, prediction of treatment efficacy, and measurement of treatment response. Precision (personalized) imaging heavily relies on the use of hybrid technologies and quantitative imaging biomarkers. The growing number of promising theragnostics require accurate quantification for pre- and post-treatment dosimetry. Furthermore, quantification is required in the pharmacokinetic analysis of new tracers and drugs and in the assessment of drug resistance. Positron Emission Tomography (PET) is, by nature, a quantitative imaging tool, relating the time–activity concentration in tissues and the basic functional parameters governing the biological processes being studied. Recent innovations in single photon emission computed tomography (SPECT) reconstruction techniques have allowed for SPECT to move from relative/semi-quantitative measures to absolute quantification. The strength of PET and SPECT is that they permit whole-body molecular imaging in a noninvasive way, evaluating multiple disease sites. Furthermore, serial scanning can be performed, allowing for the measurement of functional changes over time during therapeutic interventions. This Special Issue highlights the hot topics on quantitative PET and SPECT

Impact of the dosimetry approach on the resulting 90Y radioembolization planned absorbed doses based on 99mTc-MAA SPEC T-CT: is there agreement between dosimetry methods?

Background: Prior radioembolization, a simulation using 99mTc-macroaggregated albumin as 90Y-microspheres surrogate is performed. Gamma scintigraphy images (planar, SPECT, or SPECT-CT) are acquired to evaluate intrahepatic 90Y-microspheres distribution and detect possible extrahepatic and lung shunting. These images may be used for pre-treatment dosimetry evaluation to calculate the 90Y activity that would get an optimal tumor response while sparing healthy tissues. Several dosimetry methods are available, but there is still no consensus on the best methodology to calculate absorbed doses. The goal of this study was to retrospectively evaluate the impact of using different dosimetry approaches on the resulting 90Y-radioembolization pre-treatment absorbed dose evaluation based on 99mTc-MAA images. Methods: Absorbed doses within volumes of interest resulting from partition model (PM) and 3D voxel dosimetry methods (3D-VDM) (dose-point kernel convolution and local deposition method) were evaluated. Additionally, a new “Multi-tumor Partition Model” (MTPM) was developed. The differences among dosimetry approaches were evaluated in terms of mean absorbed dose and dose volume histograms within the volumes of interest. Results: Differences in mean absorbed dose among dosimetry methods are higher in tumor volumes than in non-tumoral ones. The differences between MTPM and both 3D-VDM were substantially lower than those observed between PM and any 3D-VDM. A poor correlation and concordance were found between PM and the other studied dosimetry approaches. DVH obtained from either 3D-VDM are pretty similar in both healthy liver and individual tumors. Although no relevant global differences, in terms of absorbed dose in Gy, between both 3D-VDM were found, important voxel-by-voxel differences have been observed. Conclusions: Significant differences among the studied dosimetry approaches for 90Y-radioembolization treatments exist. Differences do not yield a substantial impact in treatment planning for healthy tissue but they do for tumoral liver. An individual segmentation and evaluation of the tumors is essential. In patients with multiple tumors, the application of PM is not optimal and the 3D-VDM or the new MTPM are suggested instead. If a 3D-VDM method is not available, MTPM is the best option. Furthermore, both 3D-VDM approaches may be indistinctly used

Towards standardization of absolute SPECT/CT quantification: a multi-center and multi-vendor phantom study

Abstract: Absolute quantification of radiotracer distribution using SPECT/CT imaging is of great importance for dosimetry aimed at personalized radionuclide precision treatment. However, its accuracy depends on many factors. Using phantom measurements, this multi-vendor and multi-center study evaluates the quantitative accuracy and inter-system variability of various SPECT/CT systems as well as the effect of patient size, processing software and reconstruction algorithms on recovery coefficients (RC). Methods: Five SPECT/CT systems were included: Discovery™ NM/CT 670 Pro (GE Healthcare), Precedence™ 6 (Philips Healthcare), Symbia Intevo™, and Symbia™ T16 (twice) (Siemens Healthineers). Three phantoms were used based on the NEMA IEC body phantom without lung insert simulating body mass indexes (BMI) of 25, 28, and 47 kg/m2. Six spheres (0.5–26.5 mL) and background were filled with 0.1 and 0.01 MBq/mL 99mTc-pertechnetate, respectively. Volumes of interest (VOI) of spheres were obtained by a region growing technique using a 50% threshold of the maximum voxel value corrected for background activity. RC, defined as imaged activity concentration divided by actual activity concentration, were determined for maximum (RCmax) and mean voxel value (RCmean) in the VOI for each sphere diameter. Inter-system variability was expressed as median absolute deviation (MAD) of RC. Acquisition settings were standardized. Images were reconstructed using vendor-specific 3D iterative reconstruction algorithms with institute-specific settings used in clinical practice and processed using a standardized, in-house developed processing tool based on the SimpleITK framework. Additionally, all data were reconstructed with a vendor-neutral reconstruction algorithm (Hybrid Recon™; Hermes Medical Solutions). Results: RC decreased with decreasing sphere diameter for each system. Inter-system variability (MAD) was 16 and 17% for RCmean and RCmax, respectively. Standardized reconstruction decreased this variability to 4 and 5%. High BMI hampers quantification of small lesions (< 10 ml). Conclusion: Absolute SPECT quantification in a multi-center and multi-vendor setting is feasible, especially when reconstruction protocols are standardized, paving the way for a standard for absolute quantitative SPECT