Literature DB >> 25294916

Predicting breast tumor response to neoadjuvant chemotherapy with diffuse optical spectroscopic tomography prior to treatment.

Shudong Jiang1, Brian W Pogue2, Peter A Kaufman3, Jiang Gui4, Michael Jermyn2, Tracy E Frazee5, Steven P Poplack5, Roberta DiFlorio-Alexander5, Wendy A Wells6, Keith D Paulsen7.   

Abstract

PURPOSE: To determine whether pretreatment biomarkers obtained from diffuse optical spectroscopic tomographic (DOST) imaging predicts breast tumor response to neoadjuvant chemotherapy (NAC), which would have value to potentially eliminate delays in prescribing definitive local regional therapy that may occur from a standard complete 6- to 8-month course of NAC. EXPERIMENTAL
DESIGN: Nineteen patients undergoing NAC were imaged with DOST before, during, and after treatment. The DOST images of total hemoglobin concentration (HbT), tissue oxygen saturation (StO2), and water (H2O) fraction at different time points have been used for testing the abilities of differentiating patients having pathologic complete response (pCR) versus pathologic incomplete response (pIR).
RESULTS: Significant differences (P < 0.001, AUC = 1.0) were found between pCR patients versus pIR in outcome, based on the percentage change in tumor HbT within the first cycle of treatment. In addition, pretreatment tumor HbT (pretreatment HbT) relative to the contralateral breast was statistically significant (P = 0.01, AUC = 0.92) in differentiating pCR from pIR.
CONCLUSIONS: This is the first clinical evidence that DOST HbT may differentiate the two groups with predictive significance based on data acquired before NAC even begins. The study also demonstrates the potential of accelerating the validation of optimal NAC regimens through future randomized clinical trials by reducing the number of patients required and the length of time they need to be followed by using a validated imaging surrogate as an outcome measure. ©2014 American Association for Cancer Research.

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Year:  2014        PMID: 25294916      PMCID: PMC4254218          DOI: 10.1158/1078-0432.CCR-14-1415

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  28 in total

1.  Ultrasonographic tissue characterization in monitoring tumor response to neoadjuvant chemotherapy in locally advanced breast cancer (work in progress).

Authors:  S Huber; M Medl; M Vesely; H Czembirek; I Zuna; S Delorme
Journal:  J Ultrasound Med       Date:  2000-10       Impact factor: 2.153

2.  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

3.  Normalization of the tumor vasculature through oncogenic inhibition: an emerging paradigm in tumor biology.

Authors:  Shom Goel; Dai Fukumura; Rakesh K Jain
Journal:  Proc Natl Acad Sci U S A       Date:  2012-05-01       Impact factor: 11.205

4.  Magnetic resonance imaging response monitoring of breast cancer during neoadjuvant chemotherapy: relevance of breast cancer subtype.

Authors:  Claudette E Loo; Marieke E Straver; Sjoerd Rodenhuis; Sara H Muller; Jelle Wesseling; Marie-Jeanne T F D Vrancken Peeters; Kenneth G A Gilhuijs
Journal:  J Clin Oncol       Date:  2011-01-10       Impact factor: 44.544

5.  Targeting oncogenic serine/threonine-protein kinase BRAF in cancer cells inhibits angiogenesis and abrogates hypoxia.

Authors:  Alessia Bottos; Miriam Martini; Federica Di Nicolantonio; Valentina Comunanza; Federica Maione; Alberto Minassi; Giovanni Appendino; Federico Bussolino; Alberto Bardelli
Journal:  Proc Natl Acad Sci U S A       Date:  2011-12-27       Impact factor: 11.205

6.  Optical imaging of breast cancer oxyhemoglobin flare correlates with neoadjuvant chemotherapy response one day after starting treatment.

Authors:  Darren Roblyer; Shigeto Ueda; Albert Cerussi; Wendy Tanamai; Amanda Durkin; Rita Mehta; David Hsiang; John A Butler; Christine McLaren; Wen-Pin Chen; Bruce Tromberg
Journal:  Proc Natl Acad Sci U S A       Date:  2011-08-18       Impact factor: 11.205

7.  Tumor angiogenesis change estimated by using diffuse optical spectroscopic tomography: demonstrated correlation in women undergoing neoadjuvant chemotherapy for invasive breast cancer?

Authors:  Marius G Pakalniskis; Wendy A Wells; Mary C Schwab; Heather M Froehlich; Shudong Jiang; Zhongze Li; Tor D Tosteson; Steven P Poplack; Peter A Kaufman; Brian W Pogue; Keith D Paulsen
Journal:  Radiology       Date:  2011-03-15       Impact factor: 11.105

8.  Early (18)F-2-fluoro-2-deoxy-d-glucose positron emission tomography may identify a subset of patients with estrogen receptor-positive breast cancer who will not respond optimally to preoperative chemotherapy.

Authors:  Andrea A Martoni; Claudio Zamagni; Sara Quercia; Marta Rosati; Nicoletta Cacciari; Alessandra Bernardi; Alessandra Musto; Stefano Fanti; Donatella Santini; Mario Taffurelli
Journal:  Cancer       Date:  2010-02-15       Impact factor: 6.860

9.  Diffuse Optical Monitoring of the Neoadjuvant Breast Cancer Therapy.

Authors:  Regine Choe; Turgut Durduran
Journal:  IEEE J Sel Top Quantum Electron       Date:  2011-12-02       Impact factor: 4.544

10.  Predicting pathologic response to neoadjuvant chemotherapy in breast cancer by using MR imaging and quantitative 1H MR spectroscopy.

Authors:  Hyeon-Man Baek; Jeon-Hor Chen; Ke Nie; Hon J Yu; Shadfar Bahri; Rita S Mehta; Orhan Nalcioglu; Min-Ying Su
Journal:  Radiology       Date:  2009-03-10       Impact factor: 11.105

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  27 in total

1.  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

2.  Light-emitting diode-based multiwavelength diffuse optical tomography system guided by ultrasound.

Authors:  Guangqian Yuan; Umar Alqasemi; Aaron Chen; Yi Yang; Quing Zhu
Journal:  J Biomed Opt       Date:  2014-12       Impact factor: 3.170

3.  Wearable near-infrared optical probe for continuous monitoring during breast cancer neoadjuvant chemotherapy infusions.

Authors:  Fei Teng; Timothy Cormier; Alexis Sauer-Budge; Rachita Chaudhury; Vivian Pera; Raeef Istfan; David Chargin; Samuel Brookfield; Naomi Yu Ko; Darren M Roblyer
Journal:  J Biomed Opt       Date:  2017-01-01       Impact factor: 3.170

4.  Stable tissue-simulating phantoms with various water and lipid contents for diffuse optical spectroscopy.

Authors:  Etsuko Ohmae; Nobuko Yoshizawa; Kenji Yoshimoto; Maho Hayashi; Hiroko Wada; Tetsuya Mimura; Hiroaki Suzuki; Shu Homma; Norihiro Suzuki; Hiroyuki Ogura; Hatsuko Nasu; Harumi Sakahara; Yutaka Yamashita; Yukio Ueda
Journal:  Biomed Opt Express       Date:  2018-10-29       Impact factor: 3.732

5.  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

6.  Multiobjective guided priors improve the accuracy of near-infrared spectral tomography for breast imaging.

Authors:  Jinchao Feng; Shudong Jiang; Junqing Xu; Yan Zhao; Brian W Pogue; Keith D Paulsen
Journal:  J Biomed Opt       Date:  2016-09-01       Impact factor: 3.170

7.  Performance assessment of diffuse optical spectroscopic imaging instruments in a 2-year multicenter breast cancer trial

Authors:  Thomas D. O'Sullivan; Albert Cerussi; Amanda Durkin; Brian Hill; Nola Hylton; Arjun G. Yodh; Stefan A. Carp; David Boas; Shudong Jiang; Keith D. Paulsen; Brian Pogue; Darren Roblyer; Wei Yang; Bruce J. Tromberg
Journal:  J Biomed Opt       Date:  2017-08-17       Impact factor: 3.170

8.  Optical Mammography in Patients with Breast Cancer Undergoing Neoadjuvant Chemotherapy: Individual Clinical Response Index.

Authors:  Pamela G Anderson; Sirishma Kalli; Angelo Sassaroli; Nishanth Krishnamurthy; Shital S Makim; Roger A Graham; Sergio Fantini
Journal:  Acad Radiol       Date:  2017-05-19       Impact factor: 3.173

9.  An accelerated photo-magnetic imaging reconstruction algorithm based on an analytical forward solution and a fast Jacobian assembly method.

Authors:  F Nouizi; H Erkol; A Luk; M Marks; M B Unlu; G Gulsen
Journal:  Phys Med Biol       Date:  2016-10-03       Impact factor: 3.609

10.  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

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