Literature DB >> 28532642

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

Pamela G Anderson1, Sirishma Kalli2, Angelo Sassaroli1, Nishanth Krishnamurthy1, Shital S Makim2, Roger A Graham3, Sergio Fantini4.   

Abstract

RATIONALE AND
OBJECTIVES: We present an optical mammography study that aims to develop quantitative measures of pathologic response to neoadjuvant chemotherapy (NAC) in patients with breast cancer. Such quantitative measures are based on the concentrations of oxyhemoglobin ([HbO2]), deoxyhemoglobin ([Hb]), total hemoglobin ([HbT]), and hemoglobin saturation (SO2) in breast tissue at the tumor location and at sequential time points during chemotherapy.
MATERIALS AND METHODS: Continuous-wave, spectrally resolved optical mammography was performed in transmission and parallel-plate geometry on 10 patients before treatment initiation and at each NAC administration (mean number of optical mammography sessions: 12, range: 7-18). Data on two patients were discarded for technical reasons. The patients were categorized as responders (R, >50% decrease in tumor size), or nonresponders (NR, <50% decrease in tumor size) based on imaging and histopathology results.
RESULTS: At 50% completion of the NAC regimen (therapy midpoint), R (6/8) demonstrated significant decreases in SO2 (-27% ± 4%) and [HbT] (-35 ± 4 µM) at the tumor location with respect to baseline values. By contrast, NR (2/8) showed nonsignificant changes in SO2 and [HbT] at therapy midpoint. We introduce a cumulative response index as a quantitative measure of the individual patient's response to therapy. At therapy midpoint, the SO2-based cumulative response index had a sensitivity of 100% and a specificity of 100% for the identification of R.
CONCLUSIONS: These results show that optical mammography is a promising tool to assess individual response to NAC at therapy midpoint to guide further decision making for neoadjuvant therapy.
Copyright © 2017 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Optical mammography; breast cancer; near-infrared spectroscopy; neoadjuvant therapy

Mesh:

Substances:

Year:  2017        PMID: 28532642      PMCID: PMC5591774          DOI: 10.1016/j.acra.2017.03.020

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


  53 in total

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Authors:  Davide Mauri; Nicholas Pavlidis; John P A Ioannidis
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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
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5.  In vivo absorption, scattering, and physiologic properties of 58 malignant breast tumors determined by broadband diffuse optical spectroscopy.

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6.  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

7.  Early Metabolic Response to Neoadjuvant Treatment: FDG PET/CT Criteria according to Breast Cancer Subtype.

Authors:  David Groheux; Mohamed Majdoub; Alice Sanna; Patricia de Cremoux; Elif Hindié; Sylvie Giacchetti; Antoine Martineau; Anne de Roquancourt; Pascal Merlet; Dimitris Visvikis; Matthieu Resche-Rigon; Mathieu Hatt; Marc Espié
Journal:  Radiology       Date:  2015-04-27       Impact factor: 11.105

8.  A simple system for grading the response of breast cancer to neoadjuvant chemotherapy.

Authors:  S Rodenhuis; I A M Mandjes; J Wesseling; M J van de Vijver; M-J T D F Vrancken Peeters; G S Sonke; S C Linn
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Review 9.  Neoadjuvant chemotherapy and targeted therapy in breast cancer: past, present, and future.

Authors:  Simon P Gampenrieder; Gabriel Rinnerthaler; Richard Greil
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10.  Optical malignancy parameters for monitoring progression of breast cancer neoadjuvant chemotherapy.

Authors:  David R Busch; Regine Choe; Mark A Rosen; Wensheng Guo; Turgut Durduran; Michael D Feldman; Carolyn Mies; Brian J Czerniecki; Julia Tchou; Angela Demichele; Mitchell D Schnall; Arjun G Yodh
Journal:  Biomed Opt Express       Date:  2012-12-14       Impact factor: 3.732

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  4 in total

1.  Emerging Breast Imaging Technologies on the Horizon.

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2.  Predicting Pathological Complete Response After Neoadjuvant Chemotherapy in Advanced Breast Cancer by Ultrasound and Clinicopathological Features Using a Nomogram.

Authors:  Hao Cui; Dantong Zhao; Peng Han; Xudong Zhang; Wei Fan; Xiaoxuan Zuo; Panting Wang; Nana Hu; Hanqing Kong; Fuhui Peng; Ying Wang; Jiawei Tian; Lei Zhang
Journal:  Front Oncol       Date:  2021-11-23       Impact factor: 6.244

3.  Anthropomorphic Polydimethylsiloxane silicone-based phantom for Diffuse Optical Imaging.

Authors:  M V Waks Serra; V Noseda Grau; D A Vera; S Jodra; H A García; N A Carbone; P A Pardini; J A Pomarico; D I Iriarte
Journal:  Heliyon       Date:  2022-08-19

4.  Tissue oxygen saturation predicts response to breast cancer neoadjuvant chemotherapy within 10 days of treatment.

Authors:  Jeffrey M Cochran; David R Busch; Anaïs Leproux; Zheng Zhang; Thomas D O'Sullivan; Albert E Cerussi; Philip M Carpenter; Rita S Mehta; Darren Roblyer; Wei Yang; Keith D Paulsen; Brian Pogue; Shudong Jiang; Peter A Kaufman; So Hyun Chung; Mitchell Schnall; Bradley S Snyder; Nola Hylton; Stefan A Carp; Steven J Isakoff; David Mankoff; Bruce J Tromberg; Arjun G Yodh
Journal:  J Biomed Opt       Date:  2018-10       Impact factor: 3.170

  4 in total

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