Background: Preoperative prediction of breast volume can guide patient expectations and aid surgical planning in breast reconstruction. Here, we evaluate the accuracy of a portable surface imager (Crisalix S.A., Lausanne, Switzerland) in predicting breast volume compared with anthropomorphic estimates and intraoperative specimen weights.
Methods: Twenty-five patients (41 breasts) undergoing mastectomy were scanned preoperatively with the Crisalix surface imager, and 1 of 3 attending plastic surgeons provided an anthropomorphic volume estimate. Intraoperative mastectomy weights were used as the gold standard. Volume conversions were performed assuming a density of 0.958 g/cm.
Results: The Pearson correlation coefficient between imager estimates and intraoperative volumes was 0.812. The corresponding value for anthropomorphic estimates and intraoperative volumes was 0.848. The mean difference between imager and intraoperative volumes was -233.5 cm, whereas the mean difference between anthropomorphic estimates and intraoperative volumes was -102.7 cm. Stratifying by breast volume, both surface imager and anthropomorphic estimates closely matched intraoperative volumes for breast volumes 600 cm and less, but the 2 techniques tended to underestimate true volumes for breasts larger than 600 cm. Stratification by plastic surgeon providing the estimate and breast surgeon performing the mastectomy did not eliminate this underestimation at larger breast volumes.
Conclusions: For breast volumes 600 cm and less, the accuracy of the Crisalix surface imager closely matches anthropomorphic estimates given by experienced plastic surgeons and true volumes as measured from intraoperative specimen weights. Surface imaging may potentially be useful as an adjunct in surgical planning and guiding patient expectations for patients with smaller breast sizes.
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http://dx.doi.org/10.1097/SAP.0000000000002244 | DOI Listing |
J Med Imaging (Bellingham)
December 2024
University of Chicago, Department of Radiology, Chicago, Illinois, United States.
Purpose: High soft-tissue contrast imaging is essential for effective radiotherapy treatment. This could potentially be realized using both megavoltage and kilovoltage x-ray sources available on some therapy treatment systems to perform "MV-kV" dual-energy (DE) computed tomography (CT). However, noisy megavoltage images obtained with existing energy-integrating detectors (EIDs) are a limiting factor for clinical translation.
View Article and Find Full Text PDFJ Med Imaging (Bellingham)
January 2025
Stony Brook Medicine, Department of Radiology, Stony Brook, New York, United States.
Purpose: Contrast-enhanced digital breast tomosynthesis (CEDBT) highlights breast tumors with neo-angiogenesis. A recently proposed CEDBT system with a dual-layer (DL) flat-panel detector enables simultaneous acquisition of high-energy (HE) and low-energy (LE) projection images with a single exposure, which reduces acquisition time and eliminates motion artifacts. However, x-ray scatter degrades image quality and lesion detectability.
View Article and Find Full Text PDFBiomed Phys Eng Express
December 2024
Laboratory of Health Sciences and Technologies, Higher Institute of Health Sciences, Hassan 1st University, Settat, Morocco.
Med Phys
November 2024
Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, USA.
Background: The electronic portal imaging device (EPID) can be used in vivo, to detect on-treatment errors by evaluating radiation exiting a patient. To detect deviations from the planning intent, image predictions need to be modeled based on the patient's anatomy and plan information. To date in vivo transit images have been predicted using Monte Carlo (MC) algorithms.
View Article and Find Full Text PDFInt J Radiat Oncol Biol Phys
November 2024
Department of Nuclear Medicine and Medical Physics, Karolinska University Hospital, Stockholm, Sweden; Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden.
Purpose: To test a first-generation clinical photon-counting computed tomography (PCCT) scanner's capabilities to characterize materials in an anthropomorphic head phantom for radiation therapy purposes.
Methods And Materials: A CIRS 731-HN head-and-neck phantom (CIRS/SunNuclear) was scanned on a NAEOTOM Alpha PCCT and a SOMATOM Definition AS+ with single-energy and dual-energy CT techniques (SECT and DECT, respectively), both scanners manufactured by Siemens (Siemens Healthineers). A method was developed to derive relative electron density (RED) and effective atomic number (EAN) from linear attenuation coefficients (LACs) of virtual mono-energetic images and applied for the PCCT and DECT data.
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