Literature DB >> 19754207

Clinical feasibility of microscopically-guided breast needle biopsy using a fiber-optic probe with computer-aided detection.

Adam M Zysk1, Freddy T Nguyen, Eric J Chaney, Jan G Kotynek, Uretz J Oliphant, Frank J Bellafiore, Patricia A Johnson, Kendrith M Rowland, Stephen A Boppart.   

Abstract

Needle biopsy of small or nonpalpable breast lesions has a high nondiagnostic sampling rate even when needle position is guided by stereotaxis or ultrasound. We assess the feasibility of using a near-infrared fiber optic probe and computer-aided detection for the microscopic guidance of needle breast biopsy procedures. Specimens from nine consented patients undergoing breast-conserving surgery were assessed intraoperatively using a needle device with an integrated fiber-optic probe capable of assessing two physical tissue properties highly correlated to pathology. Immediately following surgical resection, specimens were probed by inserting the optical biopsy needle device into the tissue, simulating the procedure used to position standard biopsy needles. Needle positions were marked and correlated with histology, which verified measurements obtained from 58 needle positions, including 40 in adipose and 18 in tumor tissue. This study yielded tissue classifications based on measurement of optical refractive index and scattering. Confidence-rating schemes yielded combined sensitivity of 89% (16/18) and specificity of 78% (31/40). Refractive index tests alone identified tumor tissue with a sensitivity of 83% (15/18) and specificity of 75% (30/40). Scattering profiles independently identified tumor tissue with a sensitivity of 61% (11/18) and specificity of 60% (24/40). These results show that a biopsy needle with an integrated fiber optic probe can be used to identify breast tumor tissue for sampling. Integration of this probe into current practices offers the potential to reduce nondiagnostic sampling rates by directly evaluating in situ microscopic tissue properties in real-time, before removal.

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Year:  2009        PMID: 19754207      PMCID: PMC2883323          DOI: 10.1177/153303460900800501

Source DB:  PubMed          Journal:  Technol Cancer Res Treat        ISSN: 1533-0338


  26 in total

1.  Diagnostic accuracy of fine-needle aspiration biopsy is determined by physician training in sampling technique.

Authors:  B M Ljung; A Drejet; N Chiampi; J Jeffrey; W H Goodson; K Chew; D H Moore; T R Miller
Journal:  Cancer       Date:  2001-08-25       Impact factor: 6.860

Review 2.  Optical coherence tomography: feasibility for basic research and image-guided surgery of breast cancer.

Authors:  Stephen A Boppart; Wei Luo; Daniel L Marks; Keith W Singletary
Journal:  Breast Cancer Res Treat       Date:  2004-03       Impact factor: 4.872

3.  Computational methods for analysis of human breast tumor tissue in optical coherence tomography images.

Authors:  Adam M Zysk; Stephen A Boppart
Journal:  J Biomed Opt       Date:  2006 Sep-Oct       Impact factor: 3.170

4.  US-guided core breast biopsy: use and cost-effectiveness.

Authors:  L Liberman; T L Feng; D D Dershaw; E A Morris; A F Abramson
Journal:  Radiology       Date:  1998-09       Impact factor: 11.105

5.  Accuracy of mammographic appearances after breast fine-needle aspiration.

Authors:  W H Hindle; E C Chen
Journal:  Am J Obstet Gynecol       Date:  1997-06       Impact factor: 8.661

6.  Stereotactic fine-needle biopsy in 2594 mammographically detected non-palpable lesions.

Authors:  E Azavedo; G Svane; G Auer
Journal:  Lancet       Date:  1989-05-13       Impact factor: 79.321

7.  Histologic correlation of image-guided core biopsy with excisional biopsy of nonpalpable breast lesions.

Authors:  M B Acheson; R G Patton; R L Howisey; R F Lane; A Morgan
Journal:  Arch Surg       Date:  1997-08

8.  Automated algorithm for differentiation of human breast tissue using low coherence interferometry for fine needle aspiration biopsy guidance.

Authors:  Brian D Goldberg; Nicusor V Iftimia; Jason E Bressner; Martha B Pitman; Elkan Halpern; Brett E Bouma; Guillermo J Tearney
Journal:  J Biomed Opt       Date:  2008 Jan-Feb       Impact factor: 3.170

9.  Stereotaxic core needle aspiration biopsy with multiple passes in nonpalpable breast lesions.

Authors:  A Vega Bolivar; E Ortega García; F Garijo Ayensa
Journal:  Acta Radiol       Date:  1998-07       Impact factor: 1.701

10.  Diagnostic accuracy for different strategies of image-guided breast intervention in cases of nonpalpable breast lesions.

Authors:  R M Pijnappel; M van den Donk; R Holland; W P Th M Mali; J L Peterse; J H C L Hendriks; P H M Peeters
Journal:  Br J Cancer       Date:  2004-02-09       Impact factor: 7.640

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  14 in total

1.  Differentiation of ex vivo human breast tissue using polarization-sensitive optical coherence tomography.

Authors:  Fredrick A South; Eric J Chaney; Marina Marjanovic; Steven G Adie; Stephen A Boppart
Journal:  Biomed Opt Express       Date:  2014-09-04       Impact factor: 3.732

2.  Visualization and tissue classification of human breast cancer images using ultrahigh-resolution OCT.

Authors:  Xinwen Yao; Yu Gan; Ernest Chang; Hanina Hibshoosh; Sheldon Feldman; Christine Hendon
Journal:  Lasers Surg Med       Date:  2017-03-06       Impact factor: 4.025

3.  Molecular histopathology by spectrally reconstructed nonlinear interferometric vibrational imaging.

Authors:  Praveen D Chowdary; Zhi Jiang; Eric J Chaney; Wladimir A Benalcazar; Daniel L Marks; Martin Gruebele; Stephen A Boppart
Journal:  Cancer Res       Date:  2010-11-23       Impact factor: 12.701

4.  Low coherence interferometry approach for aiding fine needle aspiration biopsies.

Authors:  Ernest W Chang; Joseph Gardecki; Martha Pitman; Eric J Wilsterman; Ankit Patel; Guillermo J Tearney; Nicusor Iftimia
Journal:  J Biomed Opt       Date:  2014       Impact factor: 3.170

5.  Complementary use of polarization-sensitive and standard OCT metrics for enhanced intraoperative differentiation of breast cancer.

Authors:  Jianfeng Wang; Yang Xu; Kelly J Mesa; Fredrick A South; Eric J Chaney; Darold R Spillman; Ronit Barkalifa; Marina Marjanovic; P Scott Carney; Anna M Higham; Z George Liu; Stephen A Boppart
Journal:  Biomed Opt Express       Date:  2018-11-28       Impact factor: 3.732

6.  Review of intraoperative optical coherence tomography: technology and applications [Invited].

Authors:  Oscar M Carrasco-Zevallos; Christian Viehland; Brenton Keller; Mark Draelos; Anthony N Kuo; Cynthia A Toth; Joseph A Izatt
Journal:  Biomed Opt Express       Date:  2017-02-21       Impact factor: 3.732

Review 7.  Review of optical coherence tomography in oncology.

Authors:  Jianfeng Wang; Yang Xu; Stephen A Boppart
Journal:  J Biomed Opt       Date:  2017-12       Impact factor: 3.170

8.  Intraoperative optical coherence tomography of the human thyroid: Feasibility for surgical assessment.

Authors:  Sarah J Erickson-Bhatt; Kelly J Mesa; Marina Marjanovic; Eric J Chaney; Adeel Ahmad; Pin-Chieh Huang; Z George Liu; Kelly Cunningham; Stephen A Boppart
Journal:  Transl Res       Date:  2017-12-08       Impact factor: 7.012

9.  Three-dimensional optical coherence tomography for optical biopsy of lymph nodes and assessment of metastatic disease.

Authors:  Renu John; Steven G Adie; Eric J Chaney; Marina Marjanovic; Krishnarao V Tangella; Stephen A Boppart
Journal:  Ann Surg Oncol       Date:  2012-06-12       Impact factor: 5.344

10.  Longitudinal study of mammary epithelial and fibroblast co-cultures using optical coherence tomography reveals morphological hallmarks of pre-malignancy.

Authors:  Raghav K Chhetri; Zachary F Phillips; Melissa A Troester; Amy L Oldenburg
Journal:  PLoS One       Date:  2012-11-12       Impact factor: 3.240

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