Literature DB >> 25401024

Sensitivity of MRI-guided near-infrared spectroscopy clinical breast exam data and its impact on diagnostic performance.

Michael A Mastanduno1, Junqing Xu2, Fadi El-Ghussein3, Shudong Jiang3, Hong Yin4, Yan Zhao3, Kelly E Michaelsen3, Ke Wang4, Fang Ren4, Brian W Pogue3, Keith D Paulsen5.   

Abstract

In this study, data from breast MRI-guided near infrared spectroscopy (NIRS) exams delivered to 44 patients scheduled for surgical resection (ending in 16 benign and 28 malignant diagnoses) were analyzed using a spatial sensitivity metric to quantify the adequacy of the optical measurements for interrogating the tumor region of interest, as derived from the concurrent MRI scan. Along with positional sensitivity, the incorporation of spectral priors and the selection of an appropriate regularization parameter in the image reconstruction were considered, and found to influence the diagnostic accuracy of the recovered images. Once optimized, the MRI/NIRS data was able to differentiate the malignant from benign lesions through both total hemoglobin (p = 0.0037) and tissue optical index (p = 0.00019), but required the relative spatial sensitivity of the optical measurement data to each lesion to be above 1%. Spectral constraints implemented during the reconstruction were required to obtain statistically significant diagnostic information from images of H2O, lipids, and Tissue Optical Index (TOI). These results confirm the need for optical systems that have homogenous spatial coverage of the breast while still being able to accommodate the normal range of breast sizes.

Entities:  

Keywords:  (100.6890) Three-dimensional image processing; (170.0110) Imaging systems; (170.6960) Tomography

Year:  2014        PMID: 25401024      PMCID: PMC4230863          DOI: 10.1364/BOE.5.003103

Source DB:  PubMed          Journal:  Biomed Opt Express        ISSN: 2156-7085            Impact factor:   3.732


  45 in total

1.  Combining near-infrared tomography and magnetic resonance imaging to study in vivo breast tissue: implementation of a Laplacian-type regularization to incorporate magnetic resonance structure.

Authors:  Ben Brooksby; Shudong Jiang; Hamid Dehghani; Brian W Pogue; Keith D Paulsen; John Weaver; Christine Kogel; Steven P Poplack
Journal:  J Biomed Opt       Date:  2005 Sep-Oct       Impact factor: 3.170

2.  Remote positioning optical breast magnetic resonance coil for slice-selection during image-guided near-infrared spectroscopy of breast cancer.

Authors:  Michael A Mastanduno; Shudong Jiang; Roberta DiFlorio-Alexander; Brian W Pogue; Keith D Paulsen
Journal:  J Biomed Opt       Date:  2011-06       Impact factor: 3.170

3.  MR water quantitative priors improves the accuracy of optical breast imaging.

Authors:  Colin M Carpenter; Brian W Pogue; Shudong Jiang; Jia Wang; Brian A Hargreaves; Rebecca Rakow-Penner; Bruce L Daniel; Keith D Paulsen
Journal:  IEEE Trans Med Imaging       Date:  2010-09-02       Impact factor: 10.048

4.  Diagnostic performance of digital versus film mammography for breast-cancer screening.

Authors:  Etta D Pisano; Constantine Gatsonis; Edward Hendrick; Martin Yaffe; Janet K Baum; Suddhasatta Acharyya; Emily F Conant; Laurie L Fajardo; Lawrence Bassett; Carl D'Orsi; Roberta Jong; Murray Rebner
Journal:  N Engl J Med       Date:  2005-09-16       Impact factor: 91.245

5.  MRI-coupled fluorescence tomography quantifies EGFR activity in brain tumors.

Authors:  Scott C Davis; Kimberley S Samkoe; Julia A O'Hara; Summer L Gibbs-Strauss; Hannah L Payne; P Jack Hoopes; Keith D Paulsen; Brian W Pogue
Journal:  Acad Radiol       Date:  2010-03       Impact factor: 3.173

Review 6.  Imaging breast cancer.

Authors:  Lia Bartella; Clare S Smith; D David Dershaw; Laura Liberman
Journal:  Radiol Clin North Am       Date:  2007-01       Impact factor: 2.303

7.  Adaptable near-infrared spectroscopy fiber array for improved coupling to different breast sizes during clinical MRI.

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

Review 8.  Systematic review: using magnetic resonance imaging to screen women at high risk for breast cancer.

Authors:  Ellen Warner; Hans Messersmith; Petrina Causer; Andrea Eisen; Rene Shumak; Donald Plewes
Journal:  Ann Intern Med       Date:  2008-05-06       Impact factor: 25.391

9.  MRI of occult breast carcinoma in a high-risk population.

Authors:  Elizabeth A Morris; Laura Liberman; Douglas J Ballon; Mark Robson; Andrea F Abramson; Alexandra Heerdt; D David Dershaw
Journal:  AJR Am J Roentgenol       Date:  2003-09       Impact factor: 3.959

10.  MRI evaluation of the contralateral breast in women with recently diagnosed breast cancer.

Authors:  Constance D Lehman; Constantine Gatsonis; Christiane K Kuhl; R Edward Hendrick; Etta D Pisano; Lucy Hanna; Sue Peacock; Stanley F Smazal; Daniel D Maki; Thomas B Julian; Elizabeth R DePeri; David A Bluemke; Mitchell D Schnall
Journal:  N Engl J Med       Date:  2007-03-28       Impact factor: 91.245

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  16 in total

1.  Longitudinal optical monitoring of blood flow in breast tumors during neoadjuvant chemotherapy.

Authors:  J M Cochran; S H Chung; A Leproux; W B Baker; D R Busch; A M DeMichele; J Tchou; B J Tromberg; A G Yodh
Journal:  Phys Med Biol       Date:  2017-04-12       Impact factor: 3.609

2.  Portable, parallel 9-wavelength near-infrared spectral tomography (NIRST) system for efficient characterization of breast cancer within the clinical oncology infusion suite.

Authors:  Yan Zhao; Brian W Pogue; Steffen J Haider; Jiang Gui; Roberta M diFlorio-Alexander; Keith D Paulsen; Shudong Jiang
Journal:  Biomed Opt Express       Date:  2016-05-16       Impact factor: 3.732

3.  Two step imaging reconstruction using truncated pseudoinverse as a preliminary estimate in ultrasound guided diffuse optical tomography.

Authors:  K M Shihab Uddin; Atahar Mostafa; Mark Anastasio; Quing Zhu
Journal:  Biomed Opt Express       Date:  2017-11-08       Impact factor: 3.732

4.  Optimal breast cancer diagnostic strategy using combined ultrasound and diffuse optical tomography.

Authors:  K M Shihab Uddin; Menghao Zhang; Mark Anastasio; Quing Zhu
Journal:  Biomed Opt Express       Date:  2020-04-24       Impact factor: 3.732

5.  Automated data selection method to improve robustness of diffuse optical tomography for breast cancer imaging.

Authors:  Hamed Vavadi; Quing Zhu
Journal:  Biomed Opt Express       Date:  2016-09-14       Impact factor: 3.732

6.  MR-Guided Near-Infrared Spectral Tomography Increases Diagnostic Performance of Breast MRI.

Authors:  Michael A Mastanduno; Junqing Xu; Fadi El-Ghussein; Shudong Jiang; Hong Yin; Yan Zhao; Ke Wang; Fang Ren; Jiang Gui; Brian W Pogue; Keith D Paulsen
Journal:  Clin Cancer Res       Date:  2015-05-27       Impact factor: 12.531

7.  Assessment of Functional Differences in Malignant and Benign Breast Lesions and Improvement of Diagnostic Accuracy by Using US-guided Diffuse Optical Tomography in Conjunction with Conventional US.

Authors:  Quing Zhu; Andrew Ricci; Poornima Hegde; Mark Kane; Edward Cronin; Alex Merkulov; Yan Xu; Behnoosh Tavakoli; Susan Tannenbaum
Journal:  Radiology       Date:  2016-03-02       Impact factor: 11.105

8.  Direct regularization from co-registered anatomical images for MRI-guided near-infrared spectral tomographic image reconstruction.

Authors:  Limin Zhang; Yan Zhao; Shudong Jiang; Brian W Pogue; Keith D Paulsen
Journal:  Biomed Opt Express       Date:  2015-08-27       Impact factor: 3.732

9.  Image-derived arterial input function for quantitative fluorescence imaging of receptor-drug binding in vivo.

Authors:  Jonathan T Elliott; Kimberley S Samkoe; Scott C Davis; Jason R Gunn; Keith D Paulsen; David W Roberts; Brian W Pogue
Journal:  J Biophotonics       Date:  2015-09-09       Impact factor: 3.207

10.  Weighting function effects in a direct regularization method for image-guided near-infrared spectral tomography of breast cancer.

Authors:  Jinchao Feng; Shudong Jiang; Brian W Pogue; Keith Paulsen
Journal:  Biomed Opt Express       Date:  2018-06-25       Impact factor: 3.732

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