Literature DB >> 33451976

Changes in Diffuse Optical Tomography Images During Early Stages of Neoadjuvant Chemotherapy Correlate with Tumor Response in Different Breast Cancer Subtypes.

Mirella L Altoe1, Kevin Kalinsky2, Alessandro Marone3, Hyun K Kim3, Hua Guo4, Hanina Hibshoosh4, Mariella Tejada2, Katherine D Crew2,5, Melissa K Accordino2, Meghna S Trivedi2, Dawn L Hershman2,5, Andreas H Hielscher1.   

Abstract

PURPOSE: This study's primary objective was to evaluate the changes in optically derived parameters acquired with a diffuse optical tomography breast imaging system (DOTBIS) in the tumor volume of patients with breast carcinoma receiving neoadjuvant chemotherapy (NAC). EXPERIMENTAL
DESIGN: In this analysis of 105 patients with stage II-III breast cancer, normalized mean values of total hemoglobin ([Formula: see text]), oxyhemoglobin ([Formula: see text]), deoxy-hemoglobin concentration ([Formula: see text]), water, and oxygen saturation ([Formula: see text]) percentages were collected at different timepoints during NAC and compared with baseline measurements. This report compared changes in these optical biomarkers measured in patients who did not achieve a pathologic complete response (non-pCR) and those with a pCR. Differences regarding molecular subtypes were included for hormone receptor-positive and HER2-negative, HER2-positive, and triple-negative breast cancer.
RESULTS: At baseline, [Formula: see text] was higher for pCR tumors (3.97 ± 2.29) compared with non-pCR tumors (3.00 ± 1.72; P = 0.031). At the earliest imaging point after starting therapy, the mean change of [Formula: see text] compared with baseline ([Formula: see text]) was statistically significantly higher in non-pCR (1.23 ± 0.67) than in those with a pCR (0.87 ± 0.61; P < 0.0005), and significantly correlated to residual cancer burden classification (r = 0.448; P < 0.0005). [Formula: see text] combined with HER2 status was proposed as a two-predictor logistic model, with AUC = 0.891; P < 0.0005; and 95% confidence interval, 0.812-0.969.
CONCLUSIONS: This study demonstrates that DOTBIS measured features change over time according to tumor pCR status and may predict early in the NAC treatment course whether a patient is responding to NAC. ©2021 American Association for Cancer Research.

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Year:  2021        PMID: 33451976      PMCID: PMC8128376          DOI: 10.1158/1078-0432.CCR-20-1108

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


  33 in total

Review 1.  AAPM/RSNA physics tutorial for residents: topics in CT. Image processing in CT.

Authors:  Dianna D Cody
Journal:  Radiographics       Date:  2002 Sep-Oct       Impact factor: 5.333

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.  Optical biomarkers for breast cancer derived from dynamic diffuse optical tomography.

Authors:  Molly L Flexman; Hyun K Kim; Jacqueline E Gunther; Emerson A Lim; Maria C Alvarez; Elise Desperito; Kevin Kalinsky; Dawn L Hershman; Andreas H Hielscher
Journal:  J Biomed Opt       Date:  2013-09       Impact factor: 3.170

4.  Neoadjuvant chemotherapy with trastuzumab followed by adjuvant trastuzumab versus neoadjuvant chemotherapy alone, in patients with HER2-positive locally advanced breast cancer (the NOAH trial): a randomised controlled superiority trial with a parallel HER2-negative cohort.

Authors:  Luca Gianni; Wolfgang Eiermann; Vladimir Semiglazov; Alexey Manikhas; Ana Lluch; Sergey Tjulandin; Milvia Zambetti; Federico Vazquez; Mikhail Byakhow; Mikhail Lichinitser; Miguel Angel Climent; Eva Ciruelos; Belén Ojeda; Mauro Mansutti; Alla Bozhok; Roberta Baronio; Andrea Feyereislova; Claire Barton; Pinuccia Valagussa; Jose Baselga
Journal:  Lancet       Date:  2010-01-30       Impact factor: 79.321

5.  Monitoring early tumor response to drug therapy with diffuse optical tomography.

Authors:  Molly L Flexman; Fotios Vlachos; Hyun Keol Kim; Shashank R Sirsi; Jianzhong Huang; Sonia L Hernandez; Tessa B Johung; Jeffrey W Gander; Ari R Reichstein; Brooke S Lampl; Antai Wang; Mark A Borden; Darrell J Yamashiro; Jessica J Kandel; Andreas H Hielscher
Journal:  J Biomed Opt       Date:  2012-01       Impact factor: 3.170

6.  Predicting response to breast cancer neoadjuvant chemotherapy using diffuse optical spectroscopy.

Authors:  Albert Cerussi; David Hsiang; Natasha Shah; Rita Mehta; Amanda Durkin; John Butler; Bruce J Tromberg
Journal:  Proc Natl Acad Sci U S A       Date:  2007-02-28       Impact factor: 11.205

7.  Response to neoadjuvant therapy and long-term survival in patients with triple-negative breast cancer.

Authors:  Cornelia Liedtke; Chafika Mazouni; Kenneth R Hess; Fabrice André; Attila Tordai; Jaime A Mejia; W Fraser Symmans; Ana M Gonzalez-Angulo; Bryan Hennessy; Marjorie Green; Massimo Cristofanilli; Gabriel N Hortobagyi; Lajos Pusztai
Journal:  J Clin Oncol       Date:  2008-02-04       Impact factor: 44.544

8.  PDE-constrained multispectral imaging of tissue chromophores with the equation of radiative transfer.

Authors:  Hyun Keol Kim; Molly Flexman; Darrell J Yamashiro; Jessica J Kandel; Andreas H Hielscher
Journal:  Biomed Opt Express       Date:  2010-09-08       Impact factor: 3.732

9.  Predicting Treatment Response of Breast Cancer to Neoadjuvant Chemotherapy Using Ultrasound-Guided Diffuse Optical Tomography.

Authors:  Wenxiang Zhi; Guangyu Liu; Cai Chang; Aiyu Miao; Xiaoli Zhu; Li Xie; Jin Zhou
Journal:  Transl Oncol       Date:  2017-11-22       Impact factor: 4.243

10.  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

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  1 in total

Review 1.  Advances in Imaging in Evaluating the Efficacy of Neoadjuvant Chemotherapy for Breast Cancer.

Authors:  Xianshu Kong; Qian Zhang; Xuemei Wu; Tianning Zou; Jiajun Duan; Shujie Song; Jianyun Nie; Chu Tao; Mi Tang; Maohua Wang; Jieya Zou; Yu Xie; Zhenhui Li; Zhen Li
Journal:  Front Oncol       Date:  2022-05-20       Impact factor: 5.738

  1 in total

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