RSNA 2018 Tuesday — Real Meets Virtual and AI

For medical practice to advance, efforts to make this practice more efficient must not come at the expense of accuracy. Patterns otherwise not apparent may stand out when data are examined usingartificial intelligence (AI), just as they assume a more real appearance in physical modeling. Developers of AI and modeling software demonstrate new ways to illustrate data at the2018 Radiological Society of North America annual meeting (RSNA 2018), just as a simplified means for handling biopsied breast tissue promises to ensure quality and reduce errors.

Stratasys Ups Ante In Enterprise Imaging

Wondering if3-D printingmight add new “dimension” toenterprise imaging? (GE Healthcare is exploring the value of 3-D printing in patient care, as evidenced by its Monday announcement at RSNA 2018 of a partnership with the Veterans Administration.)

Meanwhile, Stratasys is demonstrating at its South Hall booth (1968L) in the 3-D Printing andAdvanced VisualizationShowcase how 3-D printed models can help plan surgeries and assist in making complex diagnoses. This raises the possibility that these models might come in handy for patient care teams.

The printing process for Stratasys begins when users create and save virtual 3-D models. These reconstructions can be transmitted to Stratasys for printing. (Users of Philips’ IntelliSpace can design, order and produce 3-D printed anatomical structures on-demand from Stratasys Direct Manufacturing, according to Philips, under a collaborative agreement signed by the two companies.) Stratasys prints 3-D models using polyJet-based full-color materials that form physical data reconstructions that are realistic in both soft and hard tissues.

ONRAD Goes Immersive

Best known as a supplier of contrast media, Guerbet is shining a multivariate light on digital solutions. One source of illumination is coming from in-house work; others from Imalogix and IBM Watson Health. In its booth in South Hall (2558), Guerbet is demonstrating three technologies. One is the latest version of its Contrast & Care software, which is designed to improve productivity and traceability of Guerbet contrast media. A second is from Imalogix, the vendor-neutral Radiation Dose Solution, which tracks patient exposure to ionizing radiation, using deep learning to mine data and compare dosing at a customer’s facility to that of other facilities. The third is an AI tool developed by IBM Watson Health, a tool called Watson Imaging Patient Synopsis, which summarizes patient information into single-view reports. Guerbet is demonstrating the tool, which it plans to distribute under a reseller agreement, as it continues working jointly with IBM Watson Health to develop AI software to support liver cancer diagnosis and care.

GE’s New Brand Edison Embraces AI

Newly branded Edison helps accelerate the development and adoption of new technologies and, according to GE Healthcare, “empower providers to deliver faster, more precise care.” GE’s clinical partners are supposed to use Edison to develop algorithms, particularly ones in artificial intelligence, according to the company, clearing a path for them to work with GE to bring advances in data processing to Edison applications and smart devices.

At its RSNA booth in the North Hall (7334), GE is showing what may soon become the first Edison-branded AI algorithm, one designed for use inX-ray, from this process, as well as an experimental, not-yet-FDA cleared AI-based workflow tool for MRIbrain scanning.

这种基于x射线的算法被设计成嵌入GE便携式x射线机，是GE危急护理套件的一部分。这个套件可能有一天会包括一组检查病理迹象的AI算法。该算法现在即将上市，它可以在使用该公司Optima XR240amx便携式x光机拍摄的胸部x光片上检测气胸(肺衰竭)的迹象。该人工智能算法嵌入x光机中，正在等待美国食品和药物管理局(FDA)的批准，旨在标记显示气胸的胸部x光片;然后这些图像将被送往放射科医生进行优先解读。

The objective of the AI-based algorithm for brain MRI is to increase consistency and productivity. Called AIRx, this algorithm leverages deep learning in its training on a database of more than 36,000 clinical images to identify anatomical structures in the brain. It is being groomed to automatically streamline the choice of brain slices in scans so as to help reduce manual effort and reduce or eliminate redundancies. The idea is to make brain MR scans less dependent on the skills of technologists, thereby leading to fewer recalls due to incorrect slice placement.

GE is also developing “CT Smart” algorithms to examine CT images for signs of pathology, such as intracranial hemorrhage and stroke, optimized cardiac function assessments, and to confirmpatient radiation dose levels. Inultrasound目前，该公司正在培养AI算法，以减少通常为分割和测量病变而进行的重复检查。

MammoPort Draws Radiology and Pathology Together

Shoddy handling of biopsied tissue is an often unseen problem ofbreast cancer diagnosis, one that passes as a standard operating procedure yet can endanger the diagnosis and ultimately the life of a woman being examined for a suspiciousbreast lesion徕卡生物系统公司组织采集解决方案高级产品经理Darwin Asa博士说。阿萨说，许多放射科在将活检组织送往病理前并没有妥善保存，经常将活检组织放入防腐剂福尔马林罐中，很少考虑组织的完整性。但徕卡公司想出了一个解决方案——一种名为“哺乳端口”(mammport)的标本隔离和运输系统。

新产品于9月商业发布，并在南厅(3129)的Mammotome展台展出(Mammotome归徕卡所有)，它消除了放射技术专家对活检组织的大量处理。In so doing MammoPort could bring pathology one step closer to enterprise-wide imaging, as it tightens the connection between radiology and pathology, and helps standardize the process of transferringbreast biopsytissue from the radiology suite to the pathology lab.

Rather than being placed haphazardly into a jar of formalin, the tissue is placed after needle extraction into tiny trays that can be X-rayed, placed in a plastic box that is then closed, immersed in formalin, and sent to pathology. This standardized tissue transfer from radiology to pathology promises to ensure quality and reduce errors.

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