Literature DB >> 19000871

Near-infrared laser computed tomography of the breast first clinical experience.

Alexander Poellinger1, Jan C Martin, Steven L Ponder, Torsten Freund, Bernd Hamm, Ulrich Bick, Felix Diekmann.   

Abstract

RATIONALE AND
OBJECTIVES: The purpose of the present study was to evaluate a near-infrared (NIR) laser breast imaging system (Computed Tomography Laser Mammography [CTLM]) as an adjunct to mammography by means of receiver-operating characteristic (ROC) analysis. The NIR technique used in this study is based on the absorption of NIR light by hemoglobin. Malignant tumors can be detected by imaging their neovascularization.
MATERIALS AND METHODS: Eighty-two patients were examined by both CTLM and mammography. Seventy-nine of the 82 patients underwent biopsies, and three patients had 2-year follow up. Three-dimensional scans were acquired with an NIR laser computed tomographic scanner (the CTLM system) at a slice thickness of 4 mm. Mammograms were analyzed alone and together with CTLM images.
RESULTS: Histology revealed 37 benign and 42 malignant lesions. For the combination of mammography and CTLM, the area under the ROC curve was significantly larger than for mammography alone. In addition, it was shown that the difference in area under the ROC curve between the combination of both methods and mammography alone was considerably larger for dense breasts than for radiolucent breasts, although these differences were not statistically significant.
CONCLUSION: CTLM, used as an adjunct, may serve as a feasible tool to improve the diagnostic capabilities of mammography.

Entities:  

Mesh:

Year:  2008        PMID: 19000871     DOI: 10.1016/j.acra.2008.07.023

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  15 in total

1.  Diagnostic performance of a Near-Infrared Breast Imaging system as adjunct to mammography versus X-ray mammography alone.

Authors:  F Collettini; J C Martin; F Diekmann; E Fallenberg; F Engelken; S Ponder; T J Kroencke; B Hamm; A Poellinger
Journal:  Eur Radiol       Date:  2011-09-27       Impact factor: 5.315

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Authors:  Priyanka Jha; Daniel Golovko; Sukhmine Bains; Daniel Hostetter; Reinhard Meier; Michael F Wendland; Heike E Daldrup-Link
Journal:  Cancer Res       Date:  2010-07-14       Impact factor: 12.701

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Authors:  Michael A Mastanduno; Fadi El-Ghussein; Shudong Jiang; Roberta Diflorio-Alexander; Xu Junqing; Yin Hong; Brian W Pogue; Keith D Paulsen
Journal:  Acad Radiol       Date:  2014-02       Impact factor: 3.173

9.  Tissue phantom-based breast cancer detection using continuous near-infrared sensor.

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Journal:  Bioengineered       Date:  2016-07-26       Impact factor: 3.269

Review 10.  Molecular Imaging, How Close to Clinical Precision Medicine in Lung, Brain, Prostate and Breast Cancers.

Authors:  Zhaoguo Han; Mingxing Ke; Xiang Liu; Jing Wang; Zhengqi Guan; Lina Qiao; Zhexi Wu; Yingying Sun; Xilin Sun
Journal:  Mol Imaging Biol       Date:  2021-07-16       Impact factor: 3.488

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