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  • Ovid Technologies (Wolters Kluwer Health)  (3)
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  • Ovid Technologies (Wolters Kluwer Health)  (3)
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  • 1
    Online Resource
    Online Resource
    Contrast Media–Enhanced Breast Computed Tomography With a Photon-Counting Detector : Initial Experiences on In Vivo Image Quality and Correlation to Histology
    Ovid Technologies (Wolters Kluwer Health) ; 2022
    In:  Investigative Radiology Vol. 57, No. 10 ( 2022-10), p. 704-709
    Details
    In: Investigative Radiology, Ovid Technologies (Wolters Kluwer Health), Vol. 57, No. 10 ( 2022-10), p. 704-709
    Abstract: The aim of this study was to investigate the feasibility, the image quality, and the correlation with histology of dedicated spiral breast computed tomography (B-CT) equipped with a photon-counting detector in patients with suspicious breast lesions after application of iodinated contrast media. Materials and Methods The local ethics committee approved this prospective study. Twelve women with suspicious breast lesions found in mammography or B-CT underwent contrast-enhanced spiral B-CT and supplementary ultrasound. For all lesions, biopsy-proven diagnosis and histological workup after surgical resection were obtained including the size of cancer/ductal carcinoma in situ, which were correlated to sizes measured in B-CT. Signal-to-noise ratio and contrast-to-noise ratio were evaluated for tumor, glandular tissue, and fatty tissue. Results Of the 12 patients, 15 suspicious lesions were found, 14 were malignant, and 1 benign lesion corresponded to a chronic inflammation. All lesions showed strong contrast media uptake with a signal-to-noise ratio of 119.7 ± 52.5 with a contrast-to-noise ratio between glandular tissue and breast cancer lesion of 12.6 ± 5.9. The correlation of the size of invasive tumors measured in B-CT compared with histological size was significant and strong R = 0.77 ( P 〈 0.05), whereas the correlation with the size of the peritumoral ductal carcinoma in situ was not significant R = 0.80 ( P = 0.11). Conclusions Contrast-enhanced B-CT shows high contrast between breast cancer and surrounding glandular tissue; therefore, it is a promising technique for cancer detection and staging depicting both soft tissue lesions and microcalcifications, which might be a substantial advantage over breast MRI.
    Type of Medium: Online Resource
    ISSN: 1536-0210 , 0020-9996
    URL: Article
    DOI: 10.1097/RLI.0000000000000863
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2022
    detail.hit.zdb_id: 2041543-6
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    Online Resource
  • 2
    Online Resource
    Online Resource
    Breast Computed Tomography : Diagnostic Performance of the Maximum Intensity Projection Reformations as a Stand-Alone Method for the Detection and Characterization of Breast Findings
    Ovid Technologies (Wolters Kluwer Health) ; 2022
    In:  Investigative Radiology Vol. 57, No. 4 ( 2022-4), p. 205-211
    Details
    In: Investigative Radiology, Ovid Technologies (Wolters Kluwer Health), Vol. 57, No. 4 ( 2022-4), p. 205-211
    Abstract: This study aimed to evaluate the diagnostic performance of the maximum intensity projection (MIP) reformations of breast computed tomography (B-CT) images as a stand-alone method for the detection and characterization of breast imaging findings. Materials and Methods A total of 160 women undergoing B-CT between August 2018 and December 2020 were retrospectively included; 80 patients with known breast imaging findings were matched with 80 patients without imaging findings according to age and amount of fibroglandular tissue (FGT). A total of 71 benign and 9 malignant lesions were included. Images were evaluated using 15-mm MIP in 3 planes by 2 radiologists with experience in B-CT. The presence of lesions and FGT were evaluated, using the BI-RADS classification. Interreader agreement and descriptive statistics were calculated. Results The interreader agreement of the 2 readers for finding a lesion (benign or malignant) was 0.86 and for rating according to BI-RADS classification was 0.82. One of 9 cancers (11.1%) was missed by both readers due to dense breast tissue. BI-RADS 1 was correctly applied to 73 of 80 patients (91.3%) by reader 1 and to 74 of 80 patients (92.5%) by reader 2 without recognizable lesions. BI-RADS 2 or higher with a lesion in at least one of the breasts was correctly applied in 69 of 80 patients (86.3%) by both readers. For finding a malignant lesion, sensitivity was 88.9% (95% confidence interval [CI], 51.75%–99.72%) for both readers, and specificity was 99.3% (95% CI, 96.4%–100%) for reader 1 and 100% (95% CI, 97.20%–100.00%) for reader 2. Conclusions Evaluation of B-CT images using the MIP reformations may help to reduce the reading time with high diagnostic performance and confidence.
    Type of Medium: Online Resource
    ISSN: 1536-0210 , 0020-9996
    URL: Article
    DOI: 10.1097/RLI.0000000000000829
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2022
    detail.hit.zdb_id: 2041543-6
    Location Call Number Limitation Availability
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    Online Resource
  • 3
    Online Resource
    Online Resource
    Breast density in dedicated breast computed tomography : Proposal of a classification system and interreader reliability
    Ovid Technologies (Wolters Kluwer Health) ; 2021
    In:  Medicine Vol. 100, No. 18 ( 2021-05-07), p. e25844-
    Details
    In: Medicine, Ovid Technologies (Wolters Kluwer Health), Vol. 100, No. 18 ( 2021-05-07), p. e25844-
    Abstract: The aim of this study was to develop a new breast density classification system for dedicated breast computed tomography (BCT) based on lesion detectability analogous to the ACR BI-RADS breast density scale for mammography, and to evaluate its interrater reliability. In this retrospective study, 1454 BCT examinations without contrast media were screened for suitability. Excluding datasets without additional ultrasound and exams without any detected lesions resulted in 114 BCT examinations. Based on lesion detectability, an atlas-based BCT density (BCTD) classification system of breast parenchyma was defined using 4 categories. Interrater reliability was examined in 40 BCT datasets between 3 experienced radiologists. Among the included lesions were 63 cysts (55%), 18 fibroadenomas (16%), 7 lesions of fatty necrosis (6%), and 6 breast cancers (5%) with a median diameter of 11 mm. X-ray absorption was identical between lesions and breast tissue; therefore, the lack of fatty septae was identified as the most important criteria for the presence of lesions in glandular tissue. Applying a lesion diameter of 10 mm as desired cut-off for the recommendation of an additional ultrasound, an atlas of 4 BCTD categories was defined resulting in a distribution of 17.5% for density A, 39.5% (B), 31.6% (C), and 11.4% (D) with an intraclass correlation coefficient (ICC) among 3 readers of 0.85 to 0.87. We propose a dedicated atlas-based BCTD classification system, which is calibrated to lesion detectability. The new classification system exhibits a high interrater reliability and may be used for the decision whether additional ultrasound is recommended.
    Type of Medium: Online Resource
    ISSN: 0025-7974 , 1536-5964
    URL: Article
    DOI: 10.1097/MD.0000000000025844
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2021
    detail.hit.zdb_id: 2049818-4
    Location Call Number Limitation Availability
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