Computer-aided hepatic tumour ablation: requirements and preliminary results

Surgical resection of hepatic tumours is not always possible, since it depends on different factors, among which their location inside the liver functional segments. Alternative techniques consist in local use of chemical or physical agents to destroy the tumour. Radio frequency and cryosurgical ablations are examples of such alternative techniques that may be performed percutaneously. This requires a precise localisation of the tumour placement during ablation. Computer-assisted surgery tools may be used in conjunction with these new ablation techniques to improve the therapeutic efficiency, whilst they benefit from minimal invasiveness. This paper introduces the principles of a system for computer-assisted hepatic tumour ablation and describes preliminary experiments focusing on data registration evaluation. To keep close to conventional protocols, we consider registration of pre-operative CT or MRI data to intra-operative echographic data.     

Accuracy of computer-aided geometric 3D reconstruction based on histological serial microgrinding preparation

Purpose: For our research on computer-optimised and automated cochlear implant surgery, we pursue a model-based approach to overcome the limitations of currently available clinical imaging modalities. A serial cross section preparation procedure has been developed and evaluated concerning accuracy to serve for modelling of a digital anatomic atlas to make delicate soft tissue structures available for pre-operative planning.

Methods: A special grinding tool was developed allowing the setting of a specific amount of abrasion as equidistant slice thickness was considered a crucial step. Additionally, each actual abrasion was accurately measured and used during three-dimensional reconstruction of the serial cross-sectional images obtained via digital photo documentation after each microgrinding step. A well-known reference object was prepared using this procedure and evaluated in terms of accuracy.

Results: Reconstruction of the whole sample was achieved with an error less than 0.4%, and the edge lengths in the direction of abrasion could be reconstructed with an average error of 0.6 ± 0.3 mm; both prove the realisation of equidistant abrasion. Using artificial registration fiducials and a custom-made algorithm for image alignment, parallelism and rectangularity could be preserved with average errors less than 0.4° ± 0.3°.

Conclusion: We present a systematic, practicable and reliable method for the geometrically accurate reconstruction of anatomical structures, which is especially suitable for the middle and inner ear anatomy including soft tissue structures. For the first time, the quality of such a reconstruction process has been quantified and successfully proven for its usability.     

Measuring breathing induced oesophageal motion and its dosimetric impact

Purpose: Stereotactic body radiation therapy allows for a precise dose delivery. Organ motion bears the risk of undetected high dose healthy tissue exposure. An organ very susceptible to high dose is the oesophagus. Its low contrast on CT and the oblong shape render motion estimation difficult. We tackle this issue by modern algorithms to measure oesophageal motion voxel-wise and estimate motion related dosimetric impacts.Methods: Oesophageal motion was measured using deformable image registration and 4DCT of 11 internal and 5 public datasets. Current clinical practice of contouring the organ on 3DCT was compared to timely resolved 4DCT contours. Dosimetric impacts of the motion were estimated by analysing the trajectory of each voxel in the 4D dose distribution. Finally an organ motion model for patient-wise comparisons was built.Results: Motion analysis showed mean absolute maximal motion amplitudes of 4.55 $\pm$ 1.81 mm left-right, 5.29 $\pm$ 2.67 mm anterior-posterior and 10.78 $\pm$ 5.30 mm superior-inferior. Motion between cohorts differed significantly. In around 50% of the cases the dosimetric passing criteria was violated. Contours created on 3DCT did not cover 14% of the organ for 50% of the respiratory cycle and were around 38% smaller than the union of all 4D contours. The motion model revealed that the maximal motion is not limited to the lower part of the organ. Our results showed motion amplitudes higher than most reported values in the literature and that motion is very heterogeneous across patients.Conclusions: Individual motion information should be considered in contouring and planning.     

中国抗体药物产业现状与发展前景

我国抗体药物起步晚,研发与生产技术与国际水平相比尚有一定的差距,但我国抗体药物产业发展迅速,国家政策支持以及研发投入力度较大,目前已取得一定的成果,市场潜力巨大。根据近年来国内相关文献报道以及CFDA、CDE网站的数据库,对我国抗体药物的上市、注册、审批情况以及产业化现状、重点研发企业、发展方向等方面进行归纳总结。综述了我国抗体药物的研究进展及发展前景,为生物制药企业及从事生产研发的科研人员提供了参考依据。     

Separation and characterisation of light scattering transients from rod outer segments of vertebrate photoreceptors: design and performance of a Multi Angle Flash Photolysis Apparatus (MAFPA)

A device was built for the simple computer-controlled routine determination of the angular dependence of light scattering transients obtained from biological material. It was called Multi Angle Flash Photolysis Apparatus (MAFPA). The MAFPA allows the simultaneous registration of rapid, light-induced light scattering transients at eight scattering angles between 0 degree and 28 degrees. In typical applications changes in scattered light intensity as small as delta I/I = 4 X 10(-5) can be resolved at scattering angles less than 24 degrees, while at 28 degrees the resolution drops to delta I/I = 2 X 10(-4). The time resolution is 32 microseconds. The MAFPA was designed for high accuracy, ease of use and ruggedness. It is made from relatively inexpensive parts and can be copied fairly easily by a good machine/electronics shop. In this communication we describe the design of the MAFPA and how it was used for the characterisation of four structurally distinct light-induced light scattering signals from photoreceptor rod outer segments. These signals are known as P (or binding) signal, G- (or dissociation) signal, N (or rhodopsin) signal and as the ATP-dependent signal AL. The signals have been separated by means of their different angular dependence, their different saturation behavior and nucleotide requirement. A great number of detailed studies will have to be carried out before one can fully understand the physical and biochemical origin of these signals. At this point, however, it can be stated that the so-called 'dissociation signal', showing an angular dependence indicative of a change in refractive index or scattering mass, is not merely an inversion of the preceding 'binding signal', the latter clearly reflecting a gross structural change, i.e. a shrinkage of the disks. Moreover, there are conditions where P signals are observed to persist even after the completion of the subsequent dissociation signals. The two remaining signals N and AL show a pronounced angular dependence which is not easily interpreted. The fact that both exhibit a maximal amplitude at relatively small angles seems to indicate the participation of rather large structural domains.     

Voxel-based analysis in radiation oncology: A methodological cookbook

Recently, 2D or 3D methods for dose distribution analysis have been proposed as evolutions of the Dose Volume Histogram (DVH) approaches. Those methods, collectively referred to as pixel- or voxel-based (VB) methods, evaluate local dose response patterns and go beyond the organ-based philosophy of Normal Tissue Complication Probability (NTCP) modelling. VB methods have been introduced in the context of radiation oncology in the very last years following the virtuous example of neuroimaging experience. In radiation oncology setting, dose mapping is a suitable scheme to compare spatial patterns of local dose distributions between patients who develop toxicity and who do not.In this critical review, we present the methods that include spatial dose distribution information for evaluating different toxicity endpoints after radiation therapy. The review addresses two main topics. First, the critical aspects in dose map building, namely the spatial normalization of the dose distributions from different patients. Then, the issues related to the actual dose map comparison, i.e. the viable options for a robust VB statistical analysis and the potential pitfalls related to the adopted solutions. To elucidate the different theoretical and technical issues, the covered topics are illustrated in relation to practical applications found in the existing literature.We conclude the overview on the VB philosophy in radiation oncology by introducing new phenomenological approaches to NTCP modelling that accounts for inhomogeneous organ radiosensitivity.     

Challenges and Research Needs for Risk Assessment of Pesticides for Registration in Africa

Risk assessment is necessary for registration and risk management of new pesticides. The aim of this article is to discuss challenges that risk assessors in Africa face when conducting risk assessment of pesticides. Risk assessment requires toxicity assessment, environmental fate studies, and the use of models for occupational, dietary, residential, and environmental exposure assessments. Toxicity studies are very costly with the result that toxicity data used to register pesticides in Africa are often sourced from northern hemisphere countries. Assessors also often use exposure modeling results from the northern hemisphere. This is not an ideal approach as occupational exposure is influenced by agricultural practices, climatic conditions, and other factors. Furthermore, residential exposure models require time-location-activity information, exposure factors, and toxicokinetic rate constants for particular pesticides. Dietary exposure assessment needs accurate and comprehensive local food consumption data. Authorities in African countries should therefore generate the required data, despite these being very costly and tedious. Authorities should also provide guidance on the type of models and standard scenarios for estimating predicted environmental concentrations in various environmental compartments. It is recommended that higher educational institutions in Africa should incorporate risk assessment in general and pesticide toxicity and exposure models in particular in their curricula.     

Automated tracking of stem cell lineages of Arabidopsis shoot apex using local graph matching

Shoot apical meristems (SAMs) of higher plants harbor stem‐cell niches. The cells of the stem‐cell niche are organized into spatial domains of distinct function and cell behaviors. A coordinated interplay between cell growth dynamics and changes in gene expression is critical to ensure stem‐cell homeostasis and organ differentiation. Exploring the causal relationships between cell growth patterns and gene expression dynamics requires quantitative methods to analyze cell behaviors from time‐lapse imagery. Although technical breakthroughs in live‐imaging methods have revealed spatio‐temporal dynamics of SAM‐cell growth patterns, robust computational methods for cell segmentation and automated tracking of cells have not been developed. Here we present a local graph matching‐based method for automated‐tracking of cells and cell divisions of SAMs of Arabidopsis thaliana. The cells of the SAM are tightly clustered in space which poses a unique challenge in computing spatio‐temporal correspondences of cells. The local graph‐matching principle efficiently exploits the geometric structure and topology of the relative positions of cells in obtaining spatio‐temporal correspondences. The tracker integrates information across multiple slices in which a cell may be properly imaged, thus providing robustness to cell tracking in noisy live‐imaging datasets. By relying on the local geometry and topology, the method is able to track cells in areas of high curvature such as regions of primordial outgrowth. The cell tracker not only computes the correspondences of cells across spatio‐temporal scale, but it also detects cell division events, and identifies daughter cells upon divisions, thus allowing automated estimation of cell lineages from images captured over a period of 72 h. The method presented here should enable quantitative analysis of cell growth patterns and thus facilitating the development of in silico models for SAM growth.     

Ecological Risk Assessment Approaches Within the Regulatory Framework

Ecological risk assessment has a short history but a framework similar to human health risk assessment. The Toxic Substances Control Act (TSCA) and the Federal Insecticide, Fungicide, and Rodenticide Act (FIFRA) played a significant role in the development of the ecological risk process. Data developed and risk procedures used within TSCA and FIFRA have become generally standardized. Fundamental components of the risk process require data on the effects of chemicals in the form of concentration (or dose) — response profiles for species and an exposure profile to quantify the magnitude, spatial and temporal patterns of exposure relevant to significant biological endpoints being studied. Risk characterization generally involves comparing exposure and effects using point estimates (e.g., quotient method) but risk estimation is moving toward a probabilistic approach by comparing distributions of values with more consideration of the sources of uncertainty. Ecological testing guidelines in TSCA and FIFRA are discussed along with the risk characterization process used in each statute.