Literature DB >> 20542448

Frequent optical imaging during breast cancer neoadjuvant chemotherapy reveals dynamic tumor physiology in an individual patient.

Albert E Cerussi1, Vaya W Tanamai, Rita S Mehta, David Hsiang, John Butler, Bruce J Tromberg.   

Abstract

RATIONALE AND
OBJECTIVES: Imaging <span class="Disease">tumor
response to neoadjuvant chemotherapy in vivo offers unique opportunities for patient care and clinical decision-making. Detailed imaging studies may allow oncologists to optimize therapeutic drug type and dose based on individual patient response. Most radiologic methods are used sparingly because of cost; thus, important functional information about tumor response dynamics may be missed. In addition, current clinical standards are based on determining tumor size changes; thus, standard anatomic imaging may be insensitive to early or frequent biochemical responses. Because optical methods provide functional imaging end points, our objective is to develop a low-barrier-to-access bedside approach that can be used for frequent, functional assessment of dynamic tumor physiology in individual patients.
MATERIALS AND METHODS: Diffuse Optical Spectroscopic Imaging (DOSI) is a noninvasive, bedside functional imaging technique that quantifies the concentration and molecular state of tissue hemoglobin, water, and lipid. Pilot clinical studies have shown that DOSI may be a useful tool for quantifying neoadjuvant chemotherapy response, typically by comparing the degree of change in tumor water and deoxy-hemoglobin concentration before and after therapy. Patient responses at 1 week and mid-therapy have been used to predict clinical outcome. In this report, we assess the potential value of frequent DOSI monitoring by performing measurements on 19 different days in a 51-year-old subject with infiltrating ductal carcinoma (initial tumor size 60 x 27 mm) who received neoadjuvant chemotherapy (anthracyclines and bevacizumab) over an 18-week period.
RESULTS: A composite index, the Tissue Optical Index (TOI), showed a significant ( approximately 50%) decrease over the nearly 18 weeks of chemotherapy. Tumor response was sensitive to the type of chemotherapy agent, and functional indices fluctuated in a manner consistent with dynamic tumor physiology. Final pathology revealed 4 mm of residual disease, which was detectible by DOSI at the conclusion of chemotherapy before surgery.
CONCLUSION: This case study suggests that DOSI may be a bedside-capable tool for frequent longitudinal monitoring of therapeutic functional response to neoadjuvant chemotherapy. 2010 AUR. Published by Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20542448      PMCID: PMC2924201          DOI: 10.1016/j.acra.2010.05.002

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


  42 in total

1.  Combined diffuse optical spectroscopy and contrast-enhanced magnetic resonance imaging for monitoring breast cancer neoadjuvant chemotherapy: a case study.

Authors:  Natasha Shah; Jessica Gibbs; Dulcy Wolverton; Albert Cerussi; Nola Hylton; Bruce J Tromberg
Journal:  J Biomed Opt       Date:  2005 Sep-Oct       Impact factor: 3.170

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

Review 3.  Research issues affecting preoperative systemic therapy for operable breast cancer.

Authors:  Antonio C Wolff; Donald Berry; Lisa A Carey; Marco Colleoni; Mitchell Dowsett; Matthew Ellis; Judy E Garber; David Mankoff; Soonmyung Paik; Lajos Pusztai; Mary Lou Smith; JoAnne Zujewski
Journal:  J Clin Oncol       Date:  2008-02-10       Impact factor: 44.544

Review 4.  Preoperative therapy in invasive breast cancer: reviewing the state of the science and exploring new research directions.

Authors:  Julie R Gralow; Jo Anne Zujewski; Eric Winer
Journal:  J Clin Oncol       Date:  2008-02-10       Impact factor: 44.544

5.  Drug resistance by evasion of antiangiogenic targeting of VEGF signaling in late-stage pancreatic islet tumors.

Authors:  Oriol Casanovas; Daniel J Hicklin; Gabriele Bergers; Douglas Hanahan
Journal:  Cancer Cell       Date:  2005-10       Impact factor: 31.743

6.  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

Review 7.  Converting evidence to practice: a guide for the clinical application of MRI for the screening and management of breast cancer.

Authors:  Jennifer Zakhireh; Rachel Gomez; Laura Esserman
Journal:  Eur J Cancer       Date:  2008-11-01       Impact factor: 9.162

8.  Preoperative [18F] FDG-PET after chemotherapy in locally advanced breast cancer: prognostic value as compared with histopathology.

Authors:  J Emmering; N C Krak; J J M Van der Hoeven; M D Spreeuwenberg; J W R Twisk; S Meijer; H M Pinedo; O S Hoekstra
Journal:  Ann Oncol       Date:  2008-06-13       Impact factor: 32.976

9.  Design and testing of a miniature broadband frequency domain photon migration instrument.

Authors:  Keun-Sik No; Richard Kwong; Pai H Chou; Albert Cerussi
Journal:  J Biomed Opt       Date:  2008 Sep-Oct       Impact factor: 3.170

10.  Detection and characterization of optical inhomogeneities with diffuse photon density waves: a signal-to-noise analysis.

Authors:  D A Boas; M A O'Leary; B Chance; A G Yodh
Journal:  Appl Opt       Date:  1997-01-01       Impact factor: 1.980

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  22 in total

1.  Breast cancer spatial heterogeneity in near-infrared spectra and the prediction of neoadjuvant chemotherapy response.

Authors:  Ylenia Santoro; Anaïs Leproux; Albert Cerussi; Bruce Tromberg; Enrico Gratton
Journal:  J Biomed Opt       Date:  2011-09       Impact factor: 3.170

2.  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 3.  Diffuse optical imaging using spatially and temporally modulated light.

Authors:  Thomas D O'Sullivan; Albert E Cerussi; David J Cuccia; Bruce J Tromberg
Journal:  J Biomed Opt       Date:  2012-07       Impact factor: 3.170

4.  Mapping breast cancer blood flow index, composition, and metabolism in a human subject using combined diffuse optical spectroscopic imaging and diffuse correlation spectroscopy.

Authors:  Hossein S Yazdi; Thomas D O'Sullivan; Anais Leproux; Brian Hill; Amanda Durkin; Seraphim Telep; Jesse Lam; Siavash S Yazdi; Alice M Police; Robert M Carroll; Freddie J Combs; Tomas Strömberg; Arjun G Yodh; Bruce J Tromberg
Journal:  J Biomed Opt       Date:  2017-04-01       Impact factor: 3.170

5.  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

6.  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

7.  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

8.  Rapid magnetic resonance-guided near-infrared mapping to image pulsatile hemoglobin in the breast.

Authors:  Zhiqiu Li; Venkataramanan Krishnaswamy; Shudong Jiang; Scott C Davis; Subhadra Srinivasan; Keith D Paulsen; Brian W Pogue
Journal:  Opt Lett       Date:  2010-12-01       Impact factor: 3.776

9.  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

10.  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

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