Towards the use of diffuse reflectance spectroscopy for real-time in vivo detection of breast cancer during surgery

被引：60

作者：

de Boer, Lisanne L. ^{[1
]}

Bydlon, Torre M. ^{[2
]}

van Duijnhoven, Frederieke ^{[1
]}

Peeters, Marie-Jeanne T. F. D. Vranken ^{[1
]}

Loo, Claudette E. ^{[3
]}

Winter-Warnars, Gonneke A. O. ^{[3
]}

Sanders, Joyce ^{[4
]}

Sterenborg, Henricus J. C. M. ^{[1
,5
]}

Hendriks, Benno H. W. ^{[2
,6
]}

Ruers, Theo J. M. ^{[1
,7
]}

机构：

[1] Netherlands Canc Inst Antoni van Leeuwenhoek, Dept Surg, Plesmanlaan 121,Postbus 90203, NL-1066 CX Amsterdam, Netherlands

[2] Philips Res, Inbody Syst, Campus 34, NL-5656 AE Eindhoven, Netherlands

[3] Netherlands Canc Inst Antoni von Leeuwenhoek, Dept Radiol, Plesmanlaan 121, NL-1066 CX Amsterdam, Netherlands

[4] Netherlands Canc Inst Antoni von Leeuwenhoek, Dept Pathol, Plesmanlaan 121, NL-1066 CX Amsterdam, Netherlands

[5] Univ Amsterdam, Amsterdam UMC, Biomed Engn & Phys, Meibergdreef 9, NL-1105 AZ Amsterdam, Netherlands

[6] Delft Univ Technol, Biomech Engn, Mekelweg 5, NL-2628 CD Delft, Netherlands

[7] Univ Twente, Tech Med Ctr, Drienerlolaan 5, NL-7522 NB Enschede, Netherlands

来源：

JOURNAL OF TRANSLATIONAL MEDICINE | 2018年 / 16卷

关键词：

Breast cancer surgery; Intraoperative margin assessment; Optical technology; Real-time; CONSERVING SURGERY; INTRAOPERATIVE ASSESSMENT; OPTICAL SPECTROSCOPY; MARGIN ASSESSMENT; SURGICAL MARGINS; DIAGNOSIS; MODEL; AUTOFLUORESCENCE; PREDICTORS; RECURRENCE;

D O I：

10.1186/s12967-018-1747-5

中图分类号：

R-3 [医学研究方法]; R3 [基础医学];

学科分类号：

1001 ;

摘要：

BackgroundBreast cancer surgeons struggle with differentiating healthy tissue from cancer at the resection margin during surgery. We report on the feasibility of using diffuse reflectance spectroscopy (DRS) for real-time in vivo tissue characterization.MethodsEvaluating feasibility of the technology requires a setting in which measurements, imaging and pathology have the best possible correlation. For this purpose an optical biopsy needle was used that had integrated optical fibers at the tip of the needle. This approach enabled the best possible correlation between optical measurement volume and tissue histology. With this optical biopsy needle we acquired real-time DRS data of normal tissue and tumor tissue in 27 patients that underwent an ultrasound guided breast biopsy procedure. Five additional patients were measured in continuous mode in which we obtained DRS measurements along the entire biopsy needle trajectory. We developed and compared three different support vector machine based classification models to classify the DRS measurements.ResultsWith DRS malignant tissue could be discriminated from healthy tissue. The classification model that was based on eight selected wavelengths had the highest accuracy and Matthews Correlation Coefficient (MCC) of 0.93 and 0.87, respectively. In three patients that were measured in continuous mode and had malignant tissue in their biopsy specimen, a clear transition was seen in the classified DRS measurements going from healthy tissue to tumor tissue. This transition was not seen in the other two continuously measured patients that had benign tissue in their biopsy specimen.ConclusionsIt was concluded that DRS is feasible for integration in a surgical tool that could assist the breast surgeon in detecting positive resection margins during breast surgery.

引用

页数：14