Feature | Treatment Planning | July 07, 2021 | Information provided by Grand View Research

An Analysis of the Treatment Planning Systems Market

Medical imaging software is considered one of healthcare’s fastest-growing segments inclusive of multiple image modalities

Image courtesy of RaySearch

The rapid increase in global cancer prevalence is driving the demand for innovative and accurate oncology treatment practices. Evolving healthcare IT sector with supportive infrastructure, the rising adoption of artificial intelligence (AI) and machine learning (ML) into oncology processes, rising investments in oncology treatment and care segments, and increased demand for innovative treatment solutions are fueling the market growth.

The increasing prevalence of cancer and cancer-related mortalities at both global and regional levels is alarming. The rising numbers will boost demand for innovative treatment practices in the oncology space. Globocan Cancer Observatory estimated that in 2020, approximately 19.3 million new cancer cases were diagnosed globally and 10 million cancer-related mortalities were recorded. Leading these numbers was breast cancer (11.7 percent) and lung cancer (11.4 percent). It is estimated that by 2040 more than 28.4 million new cancer cases would be diagnosed annually with a rise of 47 percent from 2020. Rising prevalence will boost demand for an accurate diagnosis to support adequate treatment plans. Radiotherapy is gaining popularity as one of the prominent and cost-effective treatment options.

Artificial Intelligence and Marchine Learning

Market players are widely adopting artificial intelligence (AI) and machine learning (ML) in their oncology software solutions to enhance diagnosis, treatment plan, simulation and cancer care management. AI/ML-enabled algorithms are used for image segmentation and detection of clinically important areas. The use of AI in cancer screening and diagnosis aids in treatment planning processes and prevents chances of collateral tissue damage. Numerous projects and initiatives are being taken up by organizations to amalgamate AI/ML into their solutions. For instance, the American College of Radiology (ACR) founded the Data Science Institute to promote collaboration amongst radiologists, private and public agencies to adopt and develop AI-based imaging solutions. Similarly, the American Society of Clinical Oncology (ASCO) and American Society for Radiation Oncology (ASTRO) initiated CancerLinQ and the National Institute of Health founded Big Data to Knowledge initiative.

Treatment Planning Software

The treatment planning software segment dominated the market for treatment planning systems and advanced image processing and held the largest revenue share of 87.5 percent in 2020. This growth is due to the increasing global prevalence of cancer and the rising demand for advanced accurate oncology therapy solutions. Treatment planning software is being widely adopted due to the increase in awareness regarding its efficiency in cancer treatment using radiotherapy. This software solution included a wide array of tools for radiation therapy practices and serves radiologists with dose distribution data, tissue energy level penetration and beamline navigation to minimize collateral damage. Additional factors attributable to its large market share are increasing public-private partnerships, advancements in healthcare infrastructure and awareness regarding the benefits of software solutions over conventional practice.

Revenue share in the advanced image processing software segment is expected to grow at a high rate over the forecast period. Medical imaging software is considered one of healthcare’s fastest-growing segments inclusive of multiple image modalities. These software solutions are easily available as open free or paid customized sources. Although the global demand for radiology services is increasing, the rate of trained radiologists is only increasing at half its pace. Therefore, the shortage of trained personnel is boosting demand for advanced image processing solutions.

Radiotherapy Solutions

The in-room imaging segment dominated the market for treatment planning systems and advanced image processing and accounted for the largest revenue share of 55.5 percent in 2020. This is mainly due to technological advancement in radiotherapy solutions. In-room imaging processes include capturing pictures during the time of treatment and provide real-time image datasets. These processes are being implemented due to the need for dosage volume reduction, normal tissue radiotherapy toxicity reduction and for providing accurate and precise treatment. In-room imaging allows radiologists to overcome challenges posed by movable tumors and target lesions. The increasing awareness of the benefit of in-room imaging has contributed to its largely held market share. Improved target localization, reduced dosage toxicity, shorter treatment course and improved tumor control are some of the benefits of using in-room imaging processes. Market players are constantly launching products for the in-room imaging processes market.

Three-dimensional image reconstruction is anticipated to grow over the forecast period. These processes use 3-D image projections from image datasets using reconstruction techniques such as visualization, triangulation method, photometric stereo handling and multiple Kinect capturing systems. The benefits of using 3-D image reconstruction in treatment planning processes are optimal treatment process realization, applicator selection, dosage distribution planning and minimizing collateral tissue damage. The rising demand for accurate oncology treatment practices and to tackle increasing global cancer prevalence is driving the growth of the 3-D image reconstruction segment.

Image Registration Segment

In 2020, the validation of the image registration segment dominated the market for treatment planning systems and advanced image processing and accounted for the largest revenue share of 27.6 percent. This growth is due to the importance image registration and creation of image datasets play in a treatment planning process. Image registration forms real-time image datasets from multiple image modalities and anatomical atlases to guide target volume and tissue delineation. These solutions conduct validations on dose distribution, contours and dosage accumulation through the developed imaged datasets over the therapy course. These solutions are suitable to guide in dose mapping and accumulation.

Adaptive radiotherapy is expected to see rapid growth over the forecast period. Adaptive radiotherapy is used to provide altered radiation therapy to compensate for anatomical and functional changes during the radiotherapy course. Adaptive radiotherapy encompasses functions of in-room imaging, image registration algorithms, image segmentation and dosage summation. It is being widely used for treating head, neck and stomach cancers. The rising number of cancer treatment facilities is positively impacting the market growth for adaptive radiotherapy.

View the Treatment Planning Systems Comparison Chart

Related Treatment Planning Content:

FDA Releases AI/Machine Learning Action Plan

Integrating Artificial Intelligence in Treatment Planning

Artificial Intelligence Greatly Speeds Radiation Therapy Treatment Planning

VIDEO: Use of Machine Learning to Automate Radiotherapy Treatment Planning

Adaptive Therapy Today

Related Content

Gadolinium-enhanced MRI of a cardiac radiation therapy patient at baseline (left) and 3 months post-treatment (right). Top: the left ventricle with patchy, gadolinium-enhanced scar was transmurally targeted with a radiation ose of 25 Gy between 3 and 6 o’clock (red brackets). Nonenhanced, remote myocardium is adjacent to target region (white arrowhead). Bottom: surviving nonenhanced myocardium within the same images is visible in the targeted region at baseline and 3 months post-treatment (yellow outline).

Gadolinium-enhanced MRI of a cardiac radiation therapy patient at baseline (left) and 3 months post-treatment (right). Top: the left ventricle with patchy, gadolinium-enhanced scar was transmurally targeted with a radiation ose of 25 Gy between 3 and 6 o’clock (red brackets). Nonenhanced, remote myocardium is adjacent to target region (white arrowhead). Bottom: surviving nonenhanced myocardium within the same images is visible in the targeted region at baseline and 3 months post-treatment (yellow outline). See more figures from this study.

Feature | Radiation Therapy | September 28, 2021
September 28, 2021 — New research from Washington University School of Medicine in St.
A new study published in Radiology: Cardiothoracic Imaging on cardiac imaging trends over a decade reports that the rate of coronary computed tomography angiography (cCTA) exams by radiologists in hospital outpatient departments increased markedly from 2010 to 2019, suggesting a bright future for the technology.

Getty Images

News | Cardiac Imaging | September 28, 2021
September 28, 2021 — A new study published in ...
The global radiotherapy devices market is expected to grow from $5.44 billion in 2020 to $5.848 billion in 2021 at a compound annual growth rate (CAGR) of 7.5%

Varian's Ethos artificial intelligence radiotherapy device.

News | Radiation Oncology | September 28, 2021
September 28, 2021 — The global radiotherapy devices market is expected to grow from $5.44 billion in 2020 to $5.848
September 28, 2021 — A computer program trained to see patterns among thousands of breast ultrasound images can aid physicians in accurately diagnosing breast cancer, a new study shows.

Breast ultrasound images show cancer (at left, as dark spot in center and, at right, in red, as highlighted by a computer). Image courtesy of Nature Communications

News | Breast Imaging | September 28, 2021
September 28, 2021 — A computer program trained to see patterns among thousands of...
GE Healthcare's Definium Tempo Fixed X-ray System (Photo: Business Wire)

GE Healthcare's Definium Tempo Fixed X-ray System (Photo: Business Wire)

News | Digital Radiography (DR) | September 28, 2021
September 28, 2021 — GE Healthcare introduced the Definium Tempo, a new fixed, overhead tube suspension (OTS)...
GE Healthcare unveiled Revolution Ascend with Effortless Workflow, offering clinicians a collection of artificial intelligence technologies that automate and simplify time-consuming tasks to increase operational efficiency and free up time for clinicians to deliver more personalized care to more patients.
News | Computed Tomography (CT) | September 27, 2021
September 27, 2021 — GE Heal
Esaote, an Italian company leader in the biomedical equipment sector – ultrasound, MRI and software for the medical sector – launched E-shop: the new online store to reach medical professionals more quickly and effectively.
News | Radiology Business | September 27, 2021
September 27, 2021 — Esaote, an Italian company leader in the biomedical equipment sector –...

Image courtesy of Ziehm

News | Mobile C-Arms | September 27, 2021
September 27, 2021 — According to the statistics by the World Health O...
Scientists have identified two subtypes of metastatic prostate cancer that respond differently to treatment, information that could one day guide physicians in treating patients with the therapies best suited to their disease.

Getty Images

News | Prostate Cancer | September 24, 2021
September 24, 2021 — Scientists have identified two subtypes of metastatic...