Computed Tomography (CT) Scanners Market: Advancements in Cancer Diagnostics

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Computed Tomography (CT) Scanners Market
Advancements in Cancer Diagnostics Computed
tomography (CT), also known as computerized
tomography or computerized axial tomography
(CAT), has the potential to detect even small
abnormalities and produce enhanced quality 3D
images. According to Inkwood Research, the global
computed tomography (CT) scanners market is
forecasted to grow with a CAGR of 5.26 between
2023 to 2032, generating a revenue of 12.587
billion by 2032.
The detailed images provided by CT scans may also
eliminate the need for exploratory surgery.
Besides, while a CT scan of the heart may be
ordered when various types of cardiac diseases or
abnormalities are suspected, the screening
technology is also an indispensable tool for
detecting lesions or possible tumors. CT scans,
in this regard, are vital solutions that help
doctors locate cancer and illustrate additional
aspects like a tumors shape and size. Moreover,
they can also aid in recognizing the blood
vessels feeding the tumor. According to the World
Health Organization (WHO), cancer is a leading
cause of death globally, accounting for around 10
million deaths in 2020. Some of the most common
cancers include lung, breast, colon, as well as
rectum and prostate
cancers.
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• In the field of oncology, some of the top
  applications of computed tomography (CT) scanners
  include
• Learning the cancers stage, which in turn, helps
  oncologists identify the best treatment options
  and recovery approximations
• Finding the right location for a biopsy, a
  procedure during which a
• clinician takes a tissue fragment from the region
  of the body where cancer may be present
• Planningradiation therapy cycles
• Observing the treatments progress and results,
  while also investigating new cancer growth during
  follow-up care
• As per Inkwood Research, oncology is expected to
  be the leading and dominating application in the
  global computed tomography (CT) scanners market,
  capturing a revenue share of 28.50 by 2032.
• The increasing rates of cancer incidence
  worldwide, coupled with higher mortality in
  malignancies, continue to pose a significant
  challenge to the biomedical scientific community
  in terms of devising effective diagnosis and
  management of cancer. With prevention deemed a
  realistic probability only in certain types of
  cancers, technological advancements in cancer
  diagnostics, entailing precise determination of
  size, location, stage, as well as molecular
  characteristics, is imperative.
• Accordingly, here are some of the cutting-edge
  advancements in computed tomography (CT) scanners
  for cancer diagnostics
• Higher-Slice CT Systems Previously, the commonly
  available slice counts included 4, 8, 16, 32, 64,
  and128-slice CT scanners. However, present CT
  scanners provide up to 256, 320, and even 640 CT
  slice counts. Key advantages associated with
  higher-slice CT systems include the following
• Higher patient throughput
• Excellent image resolution
• Faster and more comfortable scans for patients
• Options for advanced imaging reduced radiation
  exposure

Moreover, the highest slice CT scanner is the
Toshiba Aquilion
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• One, with 640 slices. Incorporated with the
  newest technology, the scanner facilitates faster
  and more detailed diagnosis.
• Market ObservationsAccording to Inkwood
  Research, high-end slice is set to be the major
  type during the forecast period, capturing a
  revenue share of 45 by 2032. High-end slice
  scanners are typically found in large hospitals,
  medical centers, and research institutions,
  requiring the highest level of imaging
  capabilities
• Spectral CT Imaging Spectral CT technology, also
  known as dual- source/dual-energy CT, is becoming
  increasingly integrated into major CT vendors
  technologies. Instead of scanning a patient
  multiple times using varied energies to focus on
  various tissue types, spectral CT technology
  offers different views from a single scan.
  Spectral CT is also gaining higher clinical
  importance with several potential applications,
  including oncological imaging.
• The combination of virtual unenhanced as well as
  low monoenergetic reconstructions results in
  improved characterization and detection of the
  solid tumors vascularization. Aligning with
  this, the IQon Spectral
• CT by Koninklijke Philips NV (The Netherlands) is
  the worlds first and only detector-based
  spectral CT. It delivers multiple layers of
  retrospective data in a single, low-dose scan.
• AI Algorithms in CT Systems The utilization of
  machine learning in medical imaging, particularly
  in CT scanning, offers the opportunity to reduce
  radiation exposure and leverage the capabilities
  of artificial intelligence (AI). Through this,
  radiologists can significantly enhance image
  quality, enabling clinicians to make more precise
  diagnoses and consequently administer improved
  treatments. Some of these developments by leading
  players operating in the global computed
  tomography (CT) scanners include
• Neusoft Medical(China) NeuViz Epoch is a
  512-slice CT scanner with a ground-breaking AI
  technology platform. The organ-specific AI
  algorithms identify anatomy for precise scanning
  while optimizing patient scans on the basis of
  their anatomy.
• Shenzhen ANKE HIGH-TECH Co Ltd (China)ANATOM
  Precision 128- slice CT scanner is a fully-AI
  powered system. It applies Al deep learning
  algorithm to intelligently recognize the 3D
  center of the scan and automatically align it
  with the isocentre.
• Iterative Reconstruction It is a computed
  tomography (CT) image reconstruction algorithm
  that starts with an initial image assumption. It
  then continuously refines and adjusts this
  assumption by comparing it to real-time measured
  values until they converge and agree with each

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• other. In a 2021 studyaimed at examining the
  application of iterative reconstruction
  algorithm-based computed tomography (CT) imaging
  in diagnosing gastric cancer (GC), it was
  revealed that the detection rate of both spiral
  CT, as well as iterative reconstruction
  algorithm-based CT, was 100. Moreover, following
  the iterative reconstruction algorithm, the image
  information, image quality, and image mean square
  error (MSE) were remarkably improved.
• Another study published in the Official Journal
  of Shanghai Chest Hospital revealed that
  iterative reconstruction promises to be an
  alternative to filtered back projection. It also
  allows for lung cancer screening at distinctly
  decreased radiation exposure rates with
  comparable or even improved image quality. This
  approach helps acquire a reduced number of scans
  and reconstruct 2D 3D images, thus providing
  physicians with an enhanced diagnosis tool.
• Cancer diagnoses are rapidly evolving due to
  continuous advancements in human cognition of the
  disease and technological advancements that help
  increase the feasibility of reliable diagnostic
  approaches. As healthcare infrastructure advances
  globally and imaging technology continues to
  progress in the global computed tomography (CT)
  scanners market, patients will undoubtedly reap
  the benefits of these advancements.
• FAQs
• Can a CT scanner identify whether a tumor is
  benign?
• A Although CT scanners can be effective tools in
  cancer screening, they cannot determine whether a
  nodule is benign or not.
• What types of cancer can a CT scan detect?
• A Some of the leading types of cancer detected
  by CT scans include kidney cancer, bladder
  cancer, ovarian cancer, colon cancer, and stomach
  cancer.