Breast Cancer Awareness - Highlights of the NCoBC 2016 Conference

Recent Videos View all 592 items

Enterprise Imaging | September 03, 2021

VIDEO: Examples of Improved PACS Workflow to Aid Speed and Efficiency

ITN Editor Dave Fornell collected numerous examples of how PACS and enterprise imaging vendors are improving the speed and workflow of their systems during booth demonstrations at the 2021 Healthcare Information Management Systems Society (HIMSS). The 11 minute video condenses down the highlights of workflow efficiencies seen during two days o vendor booth tours.

There was a clear trend of many vendors moving to new platforms that leverage more modern cloud-platform interfaces. This enables faster study loading speeds over web connections. These platforms are also using deeper integration of third-party applications and artificial intelligence (AI) software that do not require separate logins or workflows. Read more about these key trends observed at HIMSS 2021.

Vendors also showed various ways they have speed up radiology workflows. These included easier to customize hanging protocols, automated fetching of prior exams, synchronizing views and scrolling between a current a prior exams, use of timeline views of patient priors and procedures to make it easier to find relevant images and reports, and integration of all types of images into one unified viewer.

Specific examples in this video include:
• Visage Imaging: Example of high speed cloud PACS access to 3D mammograms and and priors. This first video clip shows a demonstration of opening large datasets in a matter of a couple seconds over a network connection from a tethered cellphone.
• Visage Imaging: Ability to access multiple modalities on one PACS viewer
• GE Healthcare: Examples of fast access to priors and location on screen
• GE Healthcare: Example of deep integration of third-party AI software
• Siemens: Overview of its Lung AI Pathway Companion workflow
• Change Healthcare: Enabling fast ability to free rotate around lung anatomy rather than going slice by slice manually
• Change Healthcare: Color-coded bar shows loading progress of an image or data set
• Infinitt: Hanging protocol automation to find same view on prior and link for synchronized scrolling
• Infinitt: Use of timeline to get quick view of prior reports and images without needing to open whole exam
• Siemens: Example of deeper integration with third-party apps, in this case Epsilon strain echo analysis
• Fujifilm: Integrated advanced visualization in the radiology workflow for liver segmentation used for surgical or embolization planning
• Fujifilm: Example of life-like cinematic rendering of a CT scan offers new ways to view anatomy and explain it to a patient
• Visage Imaging: Example of enterprise platform able to bring in full original format advanced visualization reconstructed images on a single platform viewer

HIMSS Related Content:

Advances in CVIS and Enterprise iImaging at HIMSS 21

Photo Gallery of New Technologies at HIMSS 2021

VIDEO: Importance of Body Part Labeling in Enterprise Imaging — Interview with Alex Towbin, M.D.

VIDEO: Coordinating Followup for Radiology Incidental Findings — Interview with David Danhauer, M.D.

VIDEO: Cardiology AI Aggregates Patient Data and Enables Interactive Risk Assessments

VIDEO: Example of Epsilon Strain Imaging Deep Integration With Siemens CVIS

Information Technology | August 30, 2021

VIDEO: Coordinating Followup for Radiology Incidental Findings

David Danhauer, M.D., FAAP, FHIMSS, chief medical information officer, Owensboro Health, Owensboro, Ky., explains the implementation of healthcare information technology (IT) to coordinate followup on incidental radiology findings. He presented on this topic in a session at the Healthcare Information Management Systems Society (HIMSS) 2021 meeting.

Their system starts with key words being identified to flag incidental findings by the voice recognition system used to enter radiology report information. IT interfaces with the electronic medical record create a list of patients that need followup and what departments the incidental findings relate to so a coordinator can connect the patient with the proper subspecialty.

Danhauer said many of the incidental findings at his center include lung nodules and abdominal aortic aneurisms. In the past, many of these were lost to followup, but the new system now promotes follow through to get the patient the care they need. This has helped increase revenue, improve patient care and lowers the health system's liability profile.

The system experienced several patient safety events due to gaps in care coordination with incidental findings documented in the radiology report, but missed by referring physicians. A patient safety initiative he helped implement automating the workflow resulted in a nine-fold increase in identifying and communicating incidental findings for improved patient safety.

Read about more advances in PACS and enterprise imaging at HIMSS 21.

Photo Gallery of New Technologies at HIMSS 2021

VIDEO: Importance of Body Part Labeling in Enterprise Imaging — Interview with Alex Towbin, M.D.

Enterprise Imaging | August 27, 2021

VIDEO: Importance of Body Part Labeling in Enterprise Imaging

Alex Towbin, M.D., Cincinnati Children’s Hospital Medical Center CMIO, Radiology Department associate chief of clinical operations and informatics, and chair of radiology informatics, spoke in an enterprise imaging session at the Healthcare Information Management Systems Society (HIMSS) 2021 meeting and highlight the importance of a standardizing body part labeling to enable imaging consumption, image sharing, greater levels of interoperability and image-based artificial intelligence (AI) research.

He described the process by which existing body part ontologies were evaluated, how the HIMSS-SIIM Enterprise Imaging Community raised awareness of the issues caused by the lack of an industry-standard body-part ontology, and the process by which an industry standard will be selected. Finally, the speakers will discuss how the HIMSS-SIIM Enterprise Imaging Community plans to advocate for the selected ontology to be incorporated as part of existing standards such as DICOM and HL7 FHIR.

In the video he outlines three metadata elements needed to selection of a relevant comparison imaging examination. He also explains how the HIMSS-SIIM EIC convened experts to select a standard body part ontology for use in enterprise imaging
Describe the HIMSS-SIIM EIC’s plan to foster adoption of a standard body part ontology for use in enterprise imaging

Advances in PACS and Cardiology Information Systems at HIMSS 2021

Find more HIMSS content

Technology Reports View all 11 items

Conference Coverage View all 472 items

Enterprise Imaging | September 03, 2021

VIDEO: Examples of Improved PACS Workflow to Aid Speed and Efficiency

ITN Editor Dave Fornell collected numerous examples of how PACS and enterprise imaging vendors are improving the speed and workflow of their systems during booth demonstrations at the 2021 Healthcare Information Management Systems Society (HIMSS). The 11 minute video condenses down the highlights of workflow efficiencies seen during two days o vendor booth tours.

There was a clear trend of many vendors moving to new platforms that leverage more modern cloud-platform interfaces. This enables faster study loading speeds over web connections. These platforms are also using deeper integration of third-party applications and artificial intelligence (AI) software that do not require separate logins or workflows. Read more about these key trends observed at HIMSS 2021.

Vendors also showed various ways they have speed up radiology workflows. These included easier to customize hanging protocols, automated fetching of prior exams, synchronizing views and scrolling between a current a prior exams, use of timeline views of patient priors and procedures to make it easier to find relevant images and reports, and integration of all types of images into one unified viewer.

Specific examples in this video include:
• Visage Imaging: Example of high speed cloud PACS access to 3D mammograms and and priors. This first video clip shows a demonstration of opening large datasets in a matter of a couple seconds over a network connection from a tethered cellphone.
• Visage Imaging: Ability to access multiple modalities on one PACS viewer
• GE Healthcare: Examples of fast access to priors and location on screen
• GE Healthcare: Example of deep integration of third-party AI software
• Siemens: Overview of its Lung AI Pathway Companion workflow
• Change Healthcare: Enabling fast ability to free rotate around lung anatomy rather than going slice by slice manually
• Change Healthcare: Color-coded bar shows loading progress of an image or data set
• Infinitt: Hanging protocol automation to find same view on prior and link for synchronized scrolling
• Infinitt: Use of timeline to get quick view of prior reports and images without needing to open whole exam
• Siemens: Example of deeper integration with third-party apps, in this case Epsilon strain echo analysis
• Fujifilm: Integrated advanced visualization in the radiology workflow for liver segmentation used for surgical or embolization planning
• Fujifilm: Example of life-like cinematic rendering of a CT scan offers new ways to view anatomy and explain it to a patient
• Visage Imaging: Example of enterprise platform able to bring in full original format advanced visualization reconstructed images on a single platform viewer

HIMSS Related Content:

Advances in CVIS and Enterprise iImaging at HIMSS 21

Photo Gallery of New Technologies at HIMSS 2021

VIDEO: Importance of Body Part Labeling in Enterprise Imaging — Interview with Alex Towbin, M.D.

VIDEO: Coordinating Followup for Radiology Incidental Findings — Interview with David Danhauer, M.D.

VIDEO: Cardiology AI Aggregates Patient Data and Enables Interactive Risk Assessments

VIDEO: Example of Epsilon Strain Imaging Deep Integration With Siemens CVIS

Information Technology | August 30, 2021

VIDEO: Coordinating Followup for Radiology Incidental Findings

David Danhauer, M.D., FAAP, FHIMSS, chief medical information officer, Owensboro Health, Owensboro, Ky., explains the implementation of healthcare information technology (IT) to coordinate followup on incidental radiology findings. He presented on this topic in a session at the Healthcare Information Management Systems Society (HIMSS) 2021 meeting.

Their system starts with key words being identified to flag incidental findings by the voice recognition system used to enter radiology report information. IT interfaces with the electronic medical record create a list of patients that need followup and what departments the incidental findings relate to so a coordinator can connect the patient with the proper subspecialty.

Danhauer said many of the incidental findings at his center include lung nodules and abdominal aortic aneurisms. In the past, many of these were lost to followup, but the new system now promotes follow through to get the patient the care they need. This has helped increase revenue, improve patient care and lowers the health system's liability profile.

The system experienced several patient safety events due to gaps in care coordination with incidental findings documented in the radiology report, but missed by referring physicians. A patient safety initiative he helped implement automating the workflow resulted in a nine-fold increase in identifying and communicating incidental findings for improved patient safety.

Read about more advances in PACS and enterprise imaging at HIMSS 21.

Photo Gallery of New Technologies at HIMSS 2021

VIDEO: Importance of Body Part Labeling in Enterprise Imaging — Interview with Alex Towbin, M.D.

Enterprise Imaging | August 27, 2021

VIDEO: Importance of Body Part Labeling in Enterprise Imaging

Alex Towbin, M.D., Cincinnati Children’s Hospital Medical Center CMIO, Radiology Department associate chief of clinical operations and informatics, and chair of radiology informatics, spoke in an enterprise imaging session at the Healthcare Information Management Systems Society (HIMSS) 2021 meeting and highlight the importance of a standardizing body part labeling to enable imaging consumption, image sharing, greater levels of interoperability and image-based artificial intelligence (AI) research.

He described the process by which existing body part ontologies were evaluated, how the HIMSS-SIIM Enterprise Imaging Community raised awareness of the issues caused by the lack of an industry-standard body-part ontology, and the process by which an industry standard will be selected. Finally, the speakers will discuss how the HIMSS-SIIM Enterprise Imaging Community plans to advocate for the selected ontology to be incorporated as part of existing standards such as DICOM and HL7 FHIR.

In the video he outlines three metadata elements needed to selection of a relevant comparison imaging examination. He also explains how the HIMSS-SIIM EIC convened experts to select a standard body part ontology for use in enterprise imaging
Describe the HIMSS-SIIM EIC’s plan to foster adoption of a standard body part ontology for use in enterprise imaging

Advances in PACS and Cardiology Information Systems at HIMSS 2021

Find more HIMSS content

Radiation Oncology View all 115 items

Information Technology | December 01, 2020

Talking Trends with Elekta

Treating cancer effectively often includes a combination of patient therapies. In recent years, technology advancements have led to a more efficient and personalized approach to treatment. Andrew Wilson, President of Oncology Informatics at Elekta, discussed the latest software advancements with ITN.

Radiation Therapy | November 15, 2020

VIDEO: Explaining Boron Neutron Capture Therapy for Targeted Cancer Radiotherapy

Bruce Bauer, Ph.D., CEO of TAE Life Sciences. The company is developing boron neutron capture therapy (BNCT) as a new radiation therapy for cancer. A patient is first infused with a non-toxic boron-10 compound, which selectively accumulates in tumor tissue. A neutron beam is then focused on the tumor and the neutrons are captured by the boron and causes emission of alpha radiation particles within the tumor. Alpha particles have a a very short range, so this helps spare surrounding healthy tissue from radiation damage.

Historically, BNCT clinical studies have been carried out using boronophenylalanine (BPA) and neutrons derived from the core of a nuclear reactor. While the clinical outcomes have been encouraging, the availability of better boron-10 compounds and access to a neutron source posed a significant barrier to clinical research and adoption of BNCT as a practical cancer therapy.

There is now a renaissance in BNCT with the availability of new accelerator-based neutrons sources and novel synthesis of boron-10 target drugs, allowing clinical research to expand with the goal to have BNCT available as a new treatment option for patients.

The secondary radiation reaction from BNCT, with cellular-level precision, spares more healthy tissues and can potentially treat cancers that otherwise have few treatment options.

The system requires a neutron accelerator, but this is smaller than a proton system and operates at much lower energy, so the shielding requirement is much lower, cutting construction costs.

Find more news and video on radiation therapy

Contrast Media Injectors | May 22, 2020

itnTV “Conversations”: Radiology Trends with Bayer’s Dennis Durmis

At this year’s RSNA ITN sat down with Dennis Durmis, Senior Vice President, Bayer Radiology to discuss Radiology trends. Discussion topics centered around three key areas where Bayer Radiology is responding to trends; including digitalization, workflow efficiencies and efforts to bring more focus to the Radiology patient experience. During the interview Dennis discussed Bayer’s digital strategy, features and benefits of their new injector, the MEDRAD® Stellant FLEX Injector and Bayer’s education efforts of the imaging needs of women with Dense Breast.

Proton Therapy | December 16, 2019

VIDEO: Varian Showcases Latest Developments at ASTRO 2019

Join Chris Toth, president of Varian’s Oncology Systems business, for a peek at the history of machine learning/AI in radiation oncology, plus other highlights in 2019:

Ethos therapy: the world’s first AI-powered adaptive radiotherapy.
Noona cloud-based application for capturing patient-reported outcomes.
Varian’s multi-room configuration for ProBeam 360 proton therapy.
The promise of FLASH, an ultra-high-speed treatment that is in pre-clinical testing, and represents an exciting and potentially promising new direction in the treatment of cancer.

Radiology Imaging View all 363 items

Molecular Imaging View all 30 items

Information Technology View all 269 items

Enterprise Imaging | September 03, 2021

VIDEO: Examples of Improved PACS Workflow to Aid Speed and Efficiency

ITN Editor Dave Fornell collected numerous examples of how PACS and enterprise imaging vendors are improving the speed and workflow of their systems during booth demonstrations at the 2021 Healthcare Information Management Systems Society (HIMSS). The 11 minute video condenses down the highlights of workflow efficiencies seen during two days o vendor booth tours.

There was a clear trend of many vendors moving to new platforms that leverage more modern cloud-platform interfaces. This enables faster study loading speeds over web connections. These platforms are also using deeper integration of third-party applications and artificial intelligence (AI) software that do not require separate logins or workflows. Read more about these key trends observed at HIMSS 2021.

Vendors also showed various ways they have speed up radiology workflows. These included easier to customize hanging protocols, automated fetching of prior exams, synchronizing views and scrolling between a current a prior exams, use of timeline views of patient priors and procedures to make it easier to find relevant images and reports, and integration of all types of images into one unified viewer.

Specific examples in this video include:
• Visage Imaging: Example of high speed cloud PACS access to 3D mammograms and and priors. This first video clip shows a demonstration of opening large datasets in a matter of a couple seconds over a network connection from a tethered cellphone.
• Visage Imaging: Ability to access multiple modalities on one PACS viewer
• GE Healthcare: Examples of fast access to priors and location on screen
• GE Healthcare: Example of deep integration of third-party AI software
• Siemens: Overview of its Lung AI Pathway Companion workflow
• Change Healthcare: Enabling fast ability to free rotate around lung anatomy rather than going slice by slice manually
• Change Healthcare: Color-coded bar shows loading progress of an image or data set
• Infinitt: Hanging protocol automation to find same view on prior and link for synchronized scrolling
• Infinitt: Use of timeline to get quick view of prior reports and images without needing to open whole exam
• Siemens: Example of deeper integration with third-party apps, in this case Epsilon strain echo analysis
• Fujifilm: Integrated advanced visualization in the radiology workflow for liver segmentation used for surgical or embolization planning
• Fujifilm: Example of life-like cinematic rendering of a CT scan offers new ways to view anatomy and explain it to a patient
• Visage Imaging: Example of enterprise platform able to bring in full original format advanced visualization reconstructed images on a single platform viewer

HIMSS Related Content:

Advances in CVIS and Enterprise iImaging at HIMSS 21

Photo Gallery of New Technologies at HIMSS 2021

VIDEO: Importance of Body Part Labeling in Enterprise Imaging — Interview with Alex Towbin, M.D.

VIDEO: Coordinating Followup for Radiology Incidental Findings — Interview with David Danhauer, M.D.

VIDEO: Cardiology AI Aggregates Patient Data and Enables Interactive Risk Assessments

VIDEO: Example of Epsilon Strain Imaging Deep Integration With Siemens CVIS

Information Technology | August 30, 2021

VIDEO: Coordinating Followup for Radiology Incidental Findings

David Danhauer, M.D., FAAP, FHIMSS, chief medical information officer, Owensboro Health, Owensboro, Ky., explains the implementation of healthcare information technology (IT) to coordinate followup on incidental radiology findings. He presented on this topic in a session at the Healthcare Information Management Systems Society (HIMSS) 2021 meeting.

Their system starts with key words being identified to flag incidental findings by the voice recognition system used to enter radiology report information. IT interfaces with the electronic medical record create a list of patients that need followup and what departments the incidental findings relate to so a coordinator can connect the patient with the proper subspecialty.

Danhauer said many of the incidental findings at his center include lung nodules and abdominal aortic aneurisms. In the past, many of these were lost to followup, but the new system now promotes follow through to get the patient the care they need. This has helped increase revenue, improve patient care and lowers the health system's liability profile.

The system experienced several patient safety events due to gaps in care coordination with incidental findings documented in the radiology report, but missed by referring physicians. A patient safety initiative he helped implement automating the workflow resulted in a nine-fold increase in identifying and communicating incidental findings for improved patient safety.

Read about more advances in PACS and enterprise imaging at HIMSS 21.

Photo Gallery of New Technologies at HIMSS 2021

VIDEO: Importance of Body Part Labeling in Enterprise Imaging — Interview with Alex Towbin, M.D.

Enterprise Imaging | August 27, 2021

VIDEO: Importance of Body Part Labeling in Enterprise Imaging

Alex Towbin, M.D., Cincinnati Children’s Hospital Medical Center CMIO, Radiology Department associate chief of clinical operations and informatics, and chair of radiology informatics, spoke in an enterprise imaging session at the Healthcare Information Management Systems Society (HIMSS) 2021 meeting and highlight the importance of a standardizing body part labeling to enable imaging consumption, image sharing, greater levels of interoperability and image-based artificial intelligence (AI) research.

He described the process by which existing body part ontologies were evaluated, how the HIMSS-SIIM Enterprise Imaging Community raised awareness of the issues caused by the lack of an industry-standard body-part ontology, and the process by which an industry standard will be selected. Finally, the speakers will discuss how the HIMSS-SIIM Enterprise Imaging Community plans to advocate for the selected ontology to be incorporated as part of existing standards such as DICOM and HL7 FHIR.

In the video he outlines three metadata elements needed to selection of a relevant comparison imaging examination. He also explains how the HIMSS-SIIM EIC convened experts to select a standard body part ontology for use in enterprise imaging
Describe the HIMSS-SIIM EIC’s plan to foster adoption of a standard body part ontology for use in enterprise imaging

Advances in PACS and Cardiology Information Systems at HIMSS 2021

Find more HIMSS content

Women's Health View all 77 items

Coronavirus (COVID-19) | May 11, 2021

VIDEO: COVID Vaccine Adenopathy Can Last Up to 10 Weeks

Yael Eshet, M.D., MSc, a diagnostic radiology specialist at Sheba Medical Center in Israel, was the lead author on a recent study that showed COVID-19 (SARS-CoV-2) vaccine adenopathy can persist more than 6 weeks. This swelling of lymph nodes is similar to what is seen cancer and infections and the new findings show it can last longer than 7-10 weeks. The current recommended time people should delay medical imaging is 6 weeks after receiving a COVID vaccine to avoid a misdiagnosis,[2] but this new study shows there is increased inflammation shown on PET-CT imaging for much longer.

These were the findings in the Radiology published study "Prevalence of Increased FDG PET/CT Axillary Lymph Node Uptake Beyond 6 Weeks after mRNA COVID-19 Vaccination."[1]

Researchers using fluorodeoxyglucose (FDG)-positron emission tomography (PET) have found increased FDG uptake in the lymph nodes of patients 7-10 weeks past their second mRNA-based Pfizer-BioNTech COVID-19 vaccination. This new information indicates a persistent immune response that could be mistaken on imaging exams for serious conditions like lymphoma over a much longer period of time.

Recent recommendations for post-vaccine lymphadenopathy advise scheduling routine imaging, such as screening mammography, before, or at least 6 weeks after, the final vaccination dose to eliminate false positive results. However, this new research showed that avid axillary lymph node uptake was present beyond 6 weeks after the second vaccination in more than 29% of the patients in the study cohort.

The authors stated “This study shows that avid axillary lymph node uptake on FDG PET/CT can be detected in more than a quarter of our patient population even beyond 6 weeks after the second dose of the mRNA-based COVID-19 vaccination. Compared to a previous study showing normalization of FDG uptake within 40 days of receiving an inactivated H1N1 influenza vaccine, we found uptake persistence even at 70 days. Physicians should be aware of this potential pitfall.”

Some images in this video are from another Radiology study, which showed PET tracer uptake at the COVID vaccine injection site and other examples of axillary adenopathy.[3]

Breast Cancer Awareness - Highlights of the NCoBC 2016 Conference

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