Optical Spectral Surveillance of Breast Tissue Landscapes for Detection of Residual Disease in Breast Tumor Margins

PLoS ONE

Volumn 8, Issue 7, 2013, Pages

  Brown, J Quincy ^a,c   Bydlon, Torre M ^a   Kennedy, Stephanie A ^a   Caldwell, Matthew L ^a   Gallagher, Jennifer E ^b   Junker, Marlee ^a   Wilke, Lee G ^b,d   Barry, William T ^b,e   Geradts, Joseph ^b   Ramanujam, Nimmi ^a  

^a Duke University   (United States)

^b DUKE UNIVERSITY MEDICAL CENTER   (United States)

^c TULANE UNIVERSITY   (United States)

^d UNIVERSITY OF WISCONSIN SCHOOL OF MEDICINE AND PUBLIC HEALTH   (United States)

^e DANA FARBER CANCER INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BETA CAROTENE; HEMOGLOBIN;

ACCURACY; ADIPOCYTE; ADIPOSE TISSUE; ADULT; AGED; ARTICLE; BODY MASS; BREAST CANCER; CANCER TISSUE; CELL DENSITY; CELL SIZE; CONTROLLED STUDY; HISTOPATHOLOGY; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; INTRAOPERATIVE PERIOD; MAJOR CLINICAL STUDY; MAMMOGRAPHIC BREAST DENSITY; MAMMOGRAPHY; MINIMAL RESIDUAL DISEASE; PARTIAL MASTECTOMY; PREDICTION; SENSITIVITY AND SPECIFICITY;

ADIPOCYTES; ADULT; AGED; AGED, 80 AND OVER; BETA CAROTENE; BREAST; BREAST NEOPLASMS; DEMOGRAPHY; FEMALE; HUMANS; MAMMOGRAPHY; MIDDLE AGED; NEOPLASM, RESIDUAL; OPTICAL IMAGING; PREDICTIVE VALUE OF TESTS; SENSITIVITY AND SPECIFICITY;

EID: 84880768280     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0069906     Document Type: Article

References (44)

1. American Cancer Society (2013) Cancer Facts & Figures 2013. Annualreport 2013. Atlanta: American Cancer Society. 64 p.
2. Rebelo K, Thompson M (2009) New Frontiers in Breast Cancer Research, Part I: Advances in Imaging and Diagnosis. Medtech Insight. August 2009. Article #200940060.
3. Huston TL, Pigalarga R, Osborne MP, Tousimis E, (2006) The influence of additional surgical margins on the total specimen volume excised and the reoperative rate after breast-conserving surgery. Am J Surg 192: 509-512.
4. Mendez JE, Lamorte WW, de Las Morenas A, Cerda S, Pistey R, et al. (2006) Influence of breast cancer margin assessment method on the rates of positive margins and residual carcinoma. Am J Surg 192: 538-540.
5. Dillon MF, Mc Dermott EW, O'Doherty A, Quinn CM, Hill AD, et al. (2007) Factors affecting successful breast conservation for ductal carcinoma in situ. Ann Surg Oncol 14: 1618-1628.
6. Kunos C, Latson L, Overmoyer B, Silverman P, Shenk R, et al. (2006) Breast conservation surgery achieving>or = 2 mm tumor-free margins results in decreased local-regional recurrence rates. Breast J 12: 28-36.
7. Elkhuizen PH, van de Vijver MJ, Hermans J, Zonderland HM, van de Velde CJ, et al. (1998) Local recurrence after breast-conserving therapy for invasive breast cancer: high incidence in young patients and association with poor survival. Int J Radiat Oncol Biol Phys 40: 859-867.
8. Sanchez C, Brem RF, McSwain AP, Rapelyea JA, Torrente J, et al. (2010) Factors associated with re-excision in patients with early-stage breast cancer treated with breast conservation therapy. Am Surg 76: 331-334.
9. Mann RM, Loo CE, Wobbes T, Bult P, Barentsz JO, et al. (2010) The impact of preoperative breast MRI on the re-excision rate in invasive lobular carcinoma of the breast. Breast Cancer Res Treat 119: 415-422.
10. Balch GC, Mithani SK, Simpson JF, Kelley MC (2005) Accuracy of intraoperative gross examination of surgical margin status in women undergoing partial mastectomy for breast malignancy. Am Surg 71: 22-27; discussion 27-28.
11. Jacobs L, (2008) Positive margins: the challenge continues for breast surgeons. Ann Surgical Oncology 15: 1271-1272.
12. Kobbermann A, Unzeitig A, Xie XJ, Yan J, Euhus D, et al. (2010) Impact of Routine Cavity Shave Margins on Breast Cancer Re-excision Rates. Ann Surg Oncol.
13. McCahill LE, Single RM, Aiello Bowles EJ, Feigelson HS, James TA, et al. (2012) Variability in reexcision following breast conservation surgery. JAMA 307: 467-475.
14. Huston TL, Simmons RM, (2005) Locally recurrent breast cancer after conservation therapy. American Journal of Surgery 189: 229-235.
15. Kim SH, Simkovich-Heerdt A, Tran KN, Maclean B, Borgen PI, (1998) Women 35 years of age or younger have higher locoregional relapse rates after undergoing breast conservation therapy. J Am Coll Surg 187: 1-8.
16. Voogd AC, Nielsen M, Peterse JL, Blichert-Toft M, Bartelink H, et al. (2001) Differences in risk factors for local and distant recurrence after breast-conserving therapy or mastectomy for stage I and II breast cancer: pooled results of two large European randomized trials. J Clin Oncol 19: 1688-1697.
17. Kurniawan ED, Wong MH, Windle I, Rose A, Mou A, et al. (2008) Predictors of surgical margin status in breast-conserving surgery within a breast screening program. Ann Surg Oncol 15: 2542-2549.
18. Waljee JF, Hu ES, Newman LA, Alderman AK, (2008) Predictors of re-excision among women undergoing breast-conserving surgery for cancer. Ann Surg Oncol 15: 1297-1303.
19. Luini A, Rososchansky J, Gatti G, Zurrida S, Caldarella P, et al. (2009) The surgical margin status after breast-conserving surgery: discussion of an open issue. Breast Cancer Res Treat 113: 397-402.
20. Bani MR, Lux MP, Heusinger K, Wenkel E, Magener A, et al. (2009) Factors correlating with reexcision after breast-conserving therapy. Eur J Surg Oncol 35: 32-37.
21. Brown JQ, Bydlon TM, Richards LM, Yu B, Kennedy SA, et al. (2010) Optical Assesssment of Tumor Resection Margins in the Breast. IEEE Journal of Selected Topics in Quantum Electronics 16: 530-544.
22. Bydlon TM, Kennedy SA, Richards LM, Brown JQ, Yu B, et al. (2010) Performance metrics of an optical spectral imaging system for intra-operative assessment of breast tumor margins. Opt Express 18: 8058-8076.
23. Wilke LG, Brown JQ, Bydlon TM, Kennedy SA, Richards LM, et al. (2009) Rapid noninvasive optical imaging of tissue composition in breast tumor margins. Am J Surg 198: 566-574.
24. Palmer GM, Zhu C, Breslin TM, Xu F, Gilchrist KW, et al. (2006) A Monte Carlo-based inverse model for calculating tissue optical properties. Part II: Application to breast cancer diagnosis. Appl Opt 45: 1072-1078.
25. Palmer GM, Ramanujam N, (2006) A Monte Carlo-based inverse model for calculating tissue optical properties. Part I: Theory and validation on synthetic phantoms. Appl Opt 45: 1062-1071.
26. Bydlon TM, Barry WT, Kennedy SA, Brown JQ, Gallagher JE, et al. (2012) Advancing optical imaging for breast margin assessment: an analysis of excisional time, cautery, and patent blue dye on underlying sources of contrast. PLoS One 7: e51418.
27. Kennedy S, Geradts J, Bydlon T, Brown JQ, Gallagher J, et al. (2010) Optical breast cancer margin assessment: an observational study of the effects of tissue heterogeneity on optical contrast. Breast Cancer Res 12: R91.
28. Hothorn T, (2006) Unbiased Recursive Partitioning: A Conditional Inference Framework. Journal of Computational and Graphical Statistics 15: 651-674.
29. Brown JQ, Vishwanath K, Palmer GM, Ramanujam N, (2009) Advances in quantitative UV-visible spectroscopy for clinical and pre-clinical application in cancer. Curr Opin Biotechnol 20: 119-131.
30. Lunetta JM, Zulim RA, Dueker SR, Lin Y, Flaig V, et al. (2002) Method for the simultaneous determination of retinol and beta-carotene concentrations in human tissues and plasma. Anal Biochem 304: 100-109.
31. Yeum KJ, Ahn SH, Rupp de Paiva SA, Lee-Kim YC, Krinsky NI, et al. (1998) Correlation between carotenoid concentrations in serum and normal breast adipose tissue of women with benign breast tumor or breast cancer. J Nutr 128: 1920-1926.
32. El-Sohemy A, Baylin A, Kabagambe E, Ascherio A, Spiegelman D, et al. (2002) Individual carotenoid concentrations in adipose tissue and plasma as biomarkers of dietary intake. Am J Clin Nutr 76: 172-179.
33. Frey SK, (2011) Vitamin A Metabolism and Adipose Tissue Biology. Nutrients 3: 27-39.
34. Desvergne B, (2007) Retinaldehyde: more than meets the eye. Nature Medicine 13: 671-673.
35. Holmes D, Tafra L, Grp MS, (2012) Analysis of the Impact of Intraoperative Margin Assessment With Adjunctive Use of MARGINPROBE (R) vs Standard of Care on Tissue Volume Removed: Results From a Randomized Prospective Multicenter Study. Annals of Surgical Oncology 19: 60-61.
36. Gittleman M, Tafra L, (2012) Analysis of the Impact of Intraoperative Margin Assessment with Adjunctive Use of MARGINPROBE (R) Vs. Standard of Care on Margin Status with Different Definitions of Positive Margin Depth, Results From a Randomized Prospective Multi Center Study. European Journal of Cancer 48: S168-S168.
37. Pappo I, Spector R, Schindel A, Morgenstern S, Sandbank J, et al. (2010) Diagnostic Performance of a Novel Device for Real-Time Margin Assessment in Lumpectomy Specimens. Journal of Surgical Research 160: 277-281.
38. Laughney AM, Krishnaswamy V, Rice TB, Cuccia DJ, Barth RJ, et al. (2013) System analysis of spatial frequency domain imaging for quantitative mapping of surgically resected breast tissues. J Biomed Opt 18: 36012.
39. Krishnaswamy V, Laughney AM, Wells WA, Paulsen KD, Pogue BW, (2013) Scanning in situ spectroscopy platform for imaging surgical breast tissue specimens. Opt Express 21: 2185-2194.
40. Lue N, Kang JW, Yu CC, Barman I, Dingari NC, et al. (2012) Portable optical fiber probe-based spectroscopic scanner for rapid cancer diagnosis: a new tool for intraoperative margin assessment. PLoS One 7: e30887.
41. Laughney AM, Krishnaswamy V, Rizzo EJ, Schwab MC, Barth RJ, et al. (2012) Scatter spectroscopic imaging distinguishes between breast pathologies in tissues relevant to surgical margin assessment. Clin Cancer Res 18: 6315-6325.
42. Nguyen FT, Zysk AM, Chaney EJ, Kotynek JG, Oliphant UJ, et al. (2009) Intraoperative evaluation of breast tumor margins with optical coherence tomography. Cancer Res 69: 8790-8796.
43. Zysk AM, Boppart SA, (2006) Computational methods for analysis of human breast tumor tissue in optical coherence tomography images. J Biomed Opt 11: 054015.
44. Zhu C, Breslin TM, Harter J, Ramanujam N, (2008) Model based and empirical spectral analysis for the diagnosis of breast cancer. Opt Express 16: 14961-14978.