Pharmacokinetic-rate images of indocyanine green for breast tumors using near-infrared optical methods

Alacam, Burak; Yazıcı, Birsen; Intes, Xavier; Nioka, Shoko; Chance, Britton

doi:10.1088/0031-9155/53/4/002

Cited by 83 publications

(81 citation statements)

References 31 publications

(58 reference statements)

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“…Temporal fitting can be used with compartmental models to estimate the pharmacokinetics of injected dyes [101,123,124], drug production or bleaching rates [125,126] in vivo [118]. Temporal analysis was used to illustrate how fluorescence signals can identify different organs in vivo by Hillman et al [102].…”

Section: Prior Information: Biophysical Models (A) Biophysical Modelsmentioning

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.

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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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Section: Prior Information: Biophysical Models (A) Biophysical Modelsmentioning

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.

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“…Only a few investigators have used extrinsic contrast with mostly reporting measurements of ICG (indocyanine green) absorption [48][49][50][51][52][53]. ICG fluorescence has only been investigated in two studies [54,55], while three publications on omocianine fluorescence are available at the time of writing [56][57][58].…”

Section: Biophotonicsmentioning

confidence: 99%

“…This design type enables tomographic acquisition of optical tissue properties using light sources and detectors that are distributed on the entire surface of the breast or scan the entire surface of the breast based on single 2D acquisitions. Light sources and detectors are placed on the skin of the breast [49,54,65] or a laser is moved around the breast in a gantry, similar to the X-ray tube in a CT scanner [45,47,56,66,67]. With the latter design, neither the light source nor the detectors are directly coupled to the breast surface.…”

Section: Geometric Designmentioning

confidence: 99%

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Near‐infrared imaging of breast cancer using optical contrast agents

Poellinger

2012

Journal of Biophotonics

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Breast cancer is the most common malignancy in women worldwide and the second leading cause of cancer death. On the basis of three studies performed by our group, this article reviews the current status of optical breast imaging using extrinsic contrast agents. To date, only two contrast agents have been applied in human studies, indocyanine green (ICG) and omocianine. Both contrast media were used for absorption and fluorescence imaging. Generally speaking, malignant breast lesions exhibited higher absorption contrast as well as higher fluorescence contrast compared to benign lesions or non‐diseased breast tissue. Some groups consider early enhancement characteristics helpful for differentiation between malignant and benign lesions. Late fluorescence ICG imaging – capitalizing on the extravasation of the dye through the wall of tumorous vessels – seems to be a promising technique to distinguish malignant from benign breast lesions. (© 2012 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)

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“…As a result, malignant lesions show a faster amplitude increase following administration of an extrinsic contrast agent, while benign lesions such as fibroadenomas will show delayed enhancement [36].…”

mentioning

confidence: 99%

Optical Imaging of Breast Cancer Using Hemodynamic Changes Induced by Valsalva Maneuver

Schreiter

Volkwein

Schneider

et al. 2013

Fortschr Röntgenstr

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Purpose: To investigate whether changes in hemodynamics induced by Valsalva maneuver can be exploited for detecting and characterizing breast lesions by optical mammography. Materials and Methods: 30 women underwent optical imaging of the breast using a DYNOT 232 system and performing Valsalva maneuvers prior to biopsy. Changes in light absorption due to changes in oxyhemoglobin and deoxyhemoglobin concentrations were recorded volumetrically and in a time-resolved manner. The parameters full width at half maximum (FWHM), time to ten (TTT), and peak amplitude (PA) of the reconstructed concentration time curves yielded color-coded maps of the breast which were separately evaluated by two experienced readers for detection rate, degree of visibility, and detection of additional lesions. ROC analysis was performed with the evaluation results. Results: 10 patients were excluded from analysis due to artifacts or inadequately performed Valsalva maneuver. The resulting 20 patients showed a clear increase in oxygenated and deoxygenated hemoglobin concentration after the onset of the Valsalva maneuver. ROC analysis yielded AUC values (0.393???0.779) that did not differ from random probabilities. The highest AUC values were obtained for FWHM (AUC: 0.779, detection rates [60???70?%], identification of additional lesions [55???70?%]). PA analysis had the highest detection rate (70???90?%) but also the highest identification of false-positive additional lesions (80???90?%). The concordance rates of the two readers for malignant lesions were satisfactory (0.524???1.0). Conclusion: Our study revealed susceptibility to artifacts and a large number of false-positive additional lesions, suggesting that the evaluation of hemodynamic changes after Valsalva maneuver by optical imaging is not a promising method.

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Pharmacokinetic-rate images of indocyanine green for breast tumors using near-infrared optical methods

Cited by 83 publications

References 31 publications

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

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

Near‐infrared imaging of breast cancer using optical contrast agents

Optical Imaging of Breast Cancer Using Hemodynamic Changes Induced by Valsalva Maneuver

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