Evaluation of Breast Tumor Response to Neoadjuvant Chemotherapy with Tomographic Diffuse Optical Spectroscopy: Case Studies of Tumor Region-of-Interest Changes

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

doi:10.1148/radiol.2522081202

Cited by 109 publications

(82 citation statements)

References 29 publications

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“…The total hemoglobin concentration reduction is a major sign for the responsive breast tumors. [54][55][56] Photon scattering in DOT makes it difficult to localize tumor size and position. CT can provide guidance in DOT reconstruction algorithms to minimize the effects of optical scattering for accurately monitoring of breast cancer's response to the chemotherapy.…”

Section: Discussion and Future Workmentioning

confidence: 99%

Diffuse optical tomography for breast cancer imaging guided by computed tomography: A feasibility study

Baikejiang

Zhang

2017

XST

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Abstract. Diffuse optical tomography (DOT) has attracted attentions in the last two decades due to its intrinsic sensitivity in imaging chromophores of tissues such as hemoglobin, water, and lipid. However, DOT has not been clinically accepted yet due to its low spatial resolution caused by strong optical scattering in tissues. Structural guidance provided by an anatomical imaging modality enhances the DOT imaging substantially. Here, we propose a computed tomography (CT) guided multispectral DOT imaging system for breast cancer imaging. To validate its feasibility, we have built a prototype DOT imaging system which consists of a laser at the wavelength of 650 nm and an electron multiplying charge coupled device (EMCCD) camera. We have validated the CT guided DOT reconstruction algorithms with numerical simulations and phantom experiments, in which different imaging setup parameters, such as projection number of measurements and width of measurement patch, have been investigated. Our results indicate that an air-cooling EMCCD camera is good enough for the transmission mode DOT imaging. We have also found that measurements at six angular projections are sufficient for DOT to reconstruct the optical targets with 2 and 4 times absorption contrast when the CT guidance is applied. Finally, we have described our future research plan on integration of a multispectral DOT imaging system into a breast CT scanner.

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Section: Discussion and Future Workmentioning

confidence: 99%

Diffuse optical tomography for breast cancer imaging guided by computed tomography: A feasibility study

Baikejiang

Zhang

2017

XST

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“…DOS-measured tumour concentrations of deoxyhaemoglobin (ctHHb), oxyhaemoglobin (ctO 2 Hb) and ctH 2 O dropped 27 ± 15, 33 ± 7 and 11 ± 15 per cent, respectively, within one week of the first treatment for pathology-confirmed responders (N = 6), while non-responders (N = 5) and normal side controls showed no significant changes in these parameters. Later studies have subsequently reported correlations between sensitive NIR parameters and pathological response [39][40][41].…”

Section: (C) Imaging Neoadjuvant Therapy Responsementioning

confidence: 97%

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

Cerussi

Tanamai

Hsiang

et al. 2011

Phil. Trans. R. Soc. A.

106

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Diffuse optical spectroscopic imaging (DOSI) non-invasively and quantitatively measures tissue haemoglobin, water and lipid. Pilot studies in small groups of patients demonstrate that DOSI may be useful for longitudinal monitoring and predicting breast cancer neoadjuvant chemotherapy pathological response. This study evaluates the performance of a bedside DOSI platform in 34 breast cancer patients followed for several months. DOSI optical endpoints obtained at multiple timepoints are compared with final pathological response. Thirty-six stage II/III breast cancers (34 patients) were measured in vivo with DOSI prior to, in the middle of and after the completion of pre-surgical neoadjuvant chemotherapy. Cancer therapies ranged from standard anthracyclines to targeted therapies. Changes in DOSI-measured parameters at each timepoint were compared against final surgical pathology. Absolute changes in the tumour-to-normal (T/N) ratio of tissue deoxyhaemoglobin concentration (ctHHb) and relative changes in the T/N ratio of a tissue optical index (TOI) were most sensitive and correlate to pathological response. Changes in ctHHb and TOI were significantly different between tumours that achieved pathological complete response (pCR) versus non-pCR. By therapy midpoint, mean TOI-T/N changes were 47 ± 8 versus 20 ± 5 per cent for pCR versus non-pCR subjects, respectively (Z = 0.011). Changes in ctHHb and TOI scaled significantly with the degree of pathological response (non-, partial and complete). DOSI measurements of TOI separated pCR from non-pCR by therapy midpoint regardless of drug or dosing strategy. This approach is well suited to monitoring breast tumour response and may provide feedback for optimizing therapeutic outcomes and minimizing side-effects.

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“…Similarly, NIRS breast tumour imaging to quantify response from neoadjuvant chemotherapy with a posterior comparison to MRI by Choe et al [66] demonstrated that contrast reduction from NIRS added to the diagnostic value of MRI. Additionally, Jiang et al [67] examined the role of defining the region of interest based upon the size of the lesion in the initial pre-treatment image, and concluded that the quantitative estimate of tumour haemoglobin is significantly affected by the posterior estimate of lesion size. Thus, while posterior analysis is perhaps the least complex combination of NIRS and imaging data, it may become the most utilized as NIRS systems enter the clinic.…”

Section: (C) Explicit Prior Shape Inclusion Applications and Analysismentioning

confidence: 99%

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

Pogue

Davis

Leblond

et al. 2011

Phil. Trans. R. Soc. A.

Self Cite

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Near-infrared spectroscopy (NIRS) of tissue provides quantification of absorbers, scattering and luminescent agents in bulk tissue through the use of measurement data and assumptions. Prior knowledge can be critical about things such as (i) the tissue shape and/or structure, (ii) spectral constituents, (iii) limits on parameters, (iv) demographic or biomarker data, and (v) biophysical models of the temporal signal shapes. A general framework of NIRS imaging with prior information is presented, showing that prior information datasets could be incorporated at any step in the NIRS process, with the general workflow being: (i) data acquisition, (ii) pre-processing, (iii) forward model, (iv) inversion/reconstruction, (v) post-processing, and (vi) interpretation/diagnosis. Most of the development in NIRS has used ad hoc or empirical implementations of prior information such as pre-measured absorber or fluorophore spectra, or tissue shapes as estimated by additional imaging tools. A comprehensive analysis would examine what prior information maximizes the accuracy in recovery and value for medical diagnosis, when implemented at separate stages of the NIRS sequence. Individual applications of prior information can show increases in accuracy or improved ability to estimate biochemical features of tissue, while other approaches may not. Most beneficial inclusion of prior information has been in the inversion/reconstruction process, because it solves the mathematical intractability. However, it is not clear that this is always the most beneficial stage.

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Evaluation of Breast Tumor Response to Neoadjuvant Chemotherapy with Tomographic Diffuse Optical Spectroscopy: Case Studies of Tumor Region-of-Interest Changes

Abstract: http://radiology.rsnajnls.org/cgi/content/full/2522081202/DC1.

Cited by 109 publications

References 29 publications

Diffuse optical tomography for breast cancer imaging guided by computed tomography: A feasibility study

Diffuse optical tomography for breast cancer imaging guided by computed tomography: A feasibility study

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

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

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