Literature DB >> 19508985

Evaluation of breast tumor response to neoadjuvant chemotherapy with tomographic diffuse optical spectroscopy: case studies of tumor region-of-interest changes.

Shudong Jiang1, Brian W Pogue, Colin M Carpenter, Steven P Poplack, Wendy A Wells, Christine A Kogel, Jorge A Forero, Lori S Muffly, Gary N Schwartz, Keith D Paulsen, Peter A Kaufman.   

Abstract

PURPOSE: To evaluate two methods of summarizing tomographic diffuse optical spectroscopic (DOS) data through region-of-interest (ROI) analysis to differentiate complete from incomplete responses in patients with locally advanced breast cancer undergoing neoadjuvant treatment and to estimate the standard deviations of these methods for power analysis of larger study designs in the future.
MATERIALS AND METHODS: Subjects participating in the HIPAA-compliant imaging study, approved by the institutional review board, provided written informed consent and were compensated for their examination participation. Seven of 16 cases in women with complete study data were analyzed by using both fixed- and variable-size (full-width-at-half-maximum) ROI measures of the DOS total hemoglobin concentration (Hb(T)), blood oxygen saturation, water fraction, optical scattering amplitude, and scattering power in the ipsilateral and contralateral breasts. Postsurgical histopathologic analysis was used to categorize patients as having a complete or incomplete treatment response.
RESULTS: Average normalized change in Hb(T) was the only DOS parameter to show significant differences (P < or = .05) in the pathologic complete response (pCR) and pathologic incomplete response (pIR) outcomes in seven patients. Mean values of the changes for fixed-size ROIs were -64.2% +/- 50.8 (standard deviation) and 16.9% +/- 38.2 for the pCR and pIR groups, respectively, and those for variable-size ROIs were -96.7% +/- 91.8, and 14.1% +/- 26.7 for the pCR and pIR groups, respectively.
CONCLUSION: Tomographic DOS may provide findings predictive of therapeutic response, which could lead to superior individualized patient treatment. SUPPLEMENTAL MATERIAL: http://radiology.rsnajnls.org/cgi/content/full/2522081202/DC1.

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Year:  2009        PMID: 19508985      PMCID: PMC2753781          DOI: 10.1148/radiol.2522081202

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  29 in total

Review 1.  Non-invasive in vivo characterization of breast tumors using photon migration spectroscopy.

Authors:  B J Tromberg; N Shah; R Lanning; A Cerussi; J Espinoza; T Pham; L Svaasand; J Butler
Journal:  Neoplasia       Date:  2000 Jan-Apr       Impact factor: 5.715

2.  MRI measurements of breast tumor volume predict response to neoadjuvant chemotherapy and recurrence-free survival.

Authors:  Savannah C Partridge; Jessica E Gibbs; Ying Lu; Laura J Esserman; Debasish Tripathy; Dulcy S Wolverton; Hope S Rugo; E Shelley Hwang; Cheryl A Ewing; Nola M Hylton
Journal:  AJR Am J Roentgenol       Date:  2005-06       Impact factor: 3.959

3.  Frequency-domain techniques enhance optical mammography: initial clinical results.

Authors:  M A Franceschini; K T Moesta; S Fantini; G Gaida; E Gratton; H Jess; W W Mantulin; M Seeber; P M Schlag; M Kaschke
Journal:  Proc Natl Acad Sci U S A       Date:  1997-06-10       Impact factor: 11.205

4.  Quantitative analysis of near-infrared tomography: sensitivity to the tissue-simulating precalibration phantom.

Authors:  Shudong Jiang; Brian W Pogue; Troy O McBride; Keith D Paulsen
Journal:  J Biomed Opt       Date:  2003-04       Impact factor: 3.170

Review 5.  Probing physiology and molecular function using optical imaging: applications to breast cancer.

Authors:  V Ntziachristos; B Chance
Journal:  Breast Cancer Res       Date:  2000-11-29       Impact factor: 6.466

6.  Image reconstruction of effective Mie scattering parameters of breast tissue in vivo with near-infrared tomography.

Authors:  Xin Wang; Brian W Pogue; Shudong Jiang; Hamid Dehghani; Xiaomei Song; Subhadra Srinivasan; Ben A Brooksby; Keith D Paulsen; Christine Kogel; Steven P Poplack; Wendy A Wells
Journal:  J Biomed Opt       Date:  2006 Jul-Aug       Impact factor: 3.170

7.  Locally advanced breast carcinoma: computer assisted semiquantitative analysis of color Doppler ultrasonography in the evaluation of tumor response to neoadjuvant chemotherapy (work in progress).

Authors:  S Huber; M Medl; T Helbich; S Taucher; T Wagner; M Rudas; I Zuna; S Delorme
Journal:  J Ultrasound Med       Date:  2000-09       Impact factor: 2.153

8.  The response of RIF-1 fibrosarcomas to the vascular-disrupting agent ZD6126 assessed by in vivo and ex vivo 1H magnetic resonance spectroscopy.

Authors:  Basetti Madhu; John C Waterton; John R Griffiths; Anderson J Ryan; Simon P Robinson
Journal:  Neoplasia       Date:  2006-07       Impact factor: 5.715

9.  Neoadjuvant chemotherapy of locally advanced breast cancer: predicting response with in vivo (1)H MR spectroscopy--a pilot study at 4 T.

Authors:  Sina Meisamy; Patrick J Bolan; Eva H Baker; Robin L Bliss; Evin Gulbahce; Lenore I Everson; Michael T Nelson; Tim H Emory; Todd M Tuttle; Douglas Yee; Michael Garwood
Journal:  Radiology       Date:  2004-11       Impact factor: 11.105

10.  Relative value of physical examination, mammography, and breast sonography in evaluating the size of the primary tumor and regional lymph node metastases in women receiving neoadjuvant chemotherapy for locally advanced breast carcinoma.

Authors:  J Herrada; R B Iyer; E N Atkinson; N Sneige; A U Buzdar; G N Hortobagyi
Journal:  Clin Cancer Res       Date:  1997-09       Impact factor: 12.531

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  55 in total

Review 1.  Implicit and explicit prior information in near-infrared spectral imaging: accuracy, quantification and diagnostic value.

Authors:  Brian W Pogue; Scott C Davis; Frederic Leblond; Michael A Mastanduno; Hamid Dehghani; Keith D Paulsen
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2011-11-28       Impact factor: 4.226

2.  Characterizing accuracy of total hemoglobin recovery using contrast-detail analysis in 3D image-guided near infrared spectroscopy with the boundary element method.

Authors:  Hamid R Ghadyani; Subhadra Srinivasan; Brian W Pogue; Keith D Paulsen
Journal:  Opt Express       Date:  2010-07-19       Impact factor: 3.894

3.  Baseline tumor oxygen saturation correlates with a pathologic complete response in breast cancer patients undergoing neoadjuvant chemotherapy.

Authors:  Shigeto Ueda; Darren Roblyer; Albert Cerussi; Amanda Durkin; Anais Leproux; Ylenia Santoro; Shanshan Xu; Thomas D O'Sullivan; David Hsiang; Rita Mehta; John Butler; Bruce J Tromberg
Journal:  Cancer Res       Date:  2012-07-09       Impact factor: 12.701

4.  Experimental validation of a high-resolution diffuse optical imaging modality: photomagnetic imaging.

Authors:  Farouk Nouizi; Alex Luk; Dave Thayer; Yuting Lin; Seunghoon Ha; Gultekin Gulsen
Journal:  J Biomed Opt       Date:  2016-01       Impact factor: 3.170

5.  Diffuse optical spectroscopic imaging correlates with final pathological response in breast cancer neoadjuvant chemotherapy.

Authors:  Albert E Cerussi; Vaya W Tanamai; David Hsiang; John Butler; Rita S Mehta; Bruce J Tromberg
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2011-11-28       Impact factor: 4.226

Review 6.  Photoacoustic breast tomography prototypes with reported human applications.

Authors:  Jan Menke
Journal:  Eur Radiol       Date:  2015-02-27       Impact factor: 5.315

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

8.  Chemotherapeutic drug-specific alteration of microvascular blood flow in murine breast cancer as measured by diffuse correlation spectroscopy.

Authors:  Gabriel Ramirez; Ashley R Proctor; Ki Won Jung; Tong Tong Wu; Songfeng Han; Russell R Adams; Jingxuan Ren; Daniel K Byun; Kelley S Madden; Edward B Brown; Thomas H Foster; Parisa Farzam; Turgut Durduran; Regine Choe
Journal:  Biomed Opt Express       Date:  2016-08-24       Impact factor: 3.732

9.  Predicting Responses to Neoadjuvant Chemotherapy in Breast Cancer: ACRIN 6691 Trial of Diffuse Optical Spectroscopic Imaging.

Authors:  Bruce J Tromberg; Zheng Zhang; Anaïs Leproux; Thomas D O'Sullivan; Albert E Cerussi; Philip M Carpenter; Rita S Mehta; Darren Roblyer; Wei Yang; Keith D Paulsen; Brian W Pogue; Shudong Jiang; Peter A Kaufman; Arjun G Yodh; So Hyun Chung; Mitchell Schnall; Bradley S Snyder; Nola Hylton; David A Boas; Stefan A Carp; Steven J Isakoff; David Mankoff
Journal:  Cancer Res       Date:  2016-08-15       Impact factor: 12.701

Review 10.  Optical tomography of breast cancer-monitoring response to primary medical therapy.

Authors:  Louise C Enfield; Adam P Gibson; Jeremy C Hebden; Michael Douek
Journal:  Target Oncol       Date:  2009-09-24       Impact factor: 4.493

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