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Related Concept Videos

Computed Tomography01:10

Computed Tomography

Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
Positron Emission Tomography01:29

Positron Emission Tomography

Positron emission tomography (PET) is a medical imaging technique involving radiopharmaceuticals — substances that emit short-lived radiation. Although the first PET scanner was introduced in 1961, it took 15 more years before radiopharmaceuticals were combined with the technique and revolutionized its potential.
One of the main requirements of a PET scan is a positron-emitting radioisotope, which is produced in a cyclotron and then attached to a substance used by the part of the body being...
Imaging Studies II: Positron Emission Tomography and Scintigraphy01:25

Imaging Studies II: Positron Emission Tomography and Scintigraphy

Positron Emission Tomography (PET) is a medical imaging technique that provides crucial insights into the body's physiological functions at a molecular level. It is an indispensable resource for diagnosing, staging, and monitoring various illnesses, notably cancer, neurological disorders, and cardiovascular conditions.
Fundamental Principles of PET
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...

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Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
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Segmented Coronal Breast Maximum Intensity Projection Images Derived From Contrast-Enhanced Chest Computed

Bolortuya Khurelbaatar1, Soma Kumasaka1,2, Yusuke Sato3

  • 1Department of Diagnostic Radiology and Nuclear Medicine, Gunma University Graduate School of Medicine, Maebashi, Japan.

Journal of Breast Imaging
|February 19, 2026
PubMed
Summary
This summary is machine-generated.

Segmented coronal breast maximum intensity projection (MIP) images from contrast-enhanced CT (CE-CT) significantly improve incidental breast lesion detection and reduce reading time compared to axial images. This technique enhances diagnostic accuracy in non-breast imaging scenarios.

Keywords:
breast cancercancer detectioncomputed tomographymaximum intensity projection

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Area of Science:

  • Radiology
  • Medical Imaging
  • Oncology

Background:

  • Incidental breast lesions are often detected on computed tomography (CT) scans not primarily intended for breast imaging.
  • Evaluating these lesions requires efficient and accurate imaging techniques.

Purpose of the Study:

  • To assess if segmented coronal breast maximum intensity projection (MIP) images from contrast-enhanced CT (CE-CT) improve the detection of incidentally found breast lesions.
  • To compare the diagnostic performance and reading time of breast MIP images versus standard axial images.

Main Methods:

  • Retrospective analysis of 71 patients with breast cancer who underwent CE-CT.
  • Three radiologists independently evaluated breast lesions on segmented coronal breast MIP and 5-mm axial images.
  • Comparison of lesion detectability scores and reading times between the two imaging techniques.

Main Results:

  • Segmented coronal breast MIP images were read significantly faster by two of three radiologists (P < .001).
  • Breast MIP images demonstrated significantly superior lesion detectability compared to axial images for all readers (P = .029, P = .043, P = .004).
  • MIP images were preferred in 76.1% to 95.8% of cases.

Conclusions:

  • Segmented coronal breast MIP images derived from CE-CT can enhance the detectability of incidental breast lesions.
  • This imaging reconstruction technique may reduce interpretation time, improving efficiency in clinical practice.