1
|
Guergan S, Boeer B, Fugunt R, Helms G, Roehm C, Solomianik A, Neugebauer A, Nuessle D, Schuermann M, Brunecker K, Jurjut O, Boehme KA, Dammeier S, Enderle MD, Bettio S, Gonzalez-Menendez I, Staebler A, Brucker SY, Kraemer B, Wallwiener D, Fend F, Hahn M. Optical Emission Spectroscopy for the Real-Time Identification of Malignant Breast Tissue. Diagnostics (Basel) 2024; 14:338. [PMID: 38337854 PMCID: PMC10855719 DOI: 10.3390/diagnostics14030338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 01/29/2024] [Accepted: 01/31/2024] [Indexed: 02/12/2024] Open
Abstract
Breast conserving resection with free margins is the gold standard treatment for early breast cancer recommended by guidelines worldwide. Therefore, reliable discrimination between normal and malignant tissue at the resection margins is essential. In this study, normal and abnormal tissue samples from breast cancer patients were characterized ex vivo by optical emission spectroscopy (OES) based on ionized atoms and molecules generated during electrosurgical treatment. The aim of the study was to determine spectroscopic features which are typical for healthy and neoplastic breast tissue allowing for future real-time tissue differentiation and margin assessment during breast cancer surgery. A total of 972 spectra generated by electrosurgical sparking on normal and abnormal tissue were used for support vector classifier (SVC) training. Specific spectroscopic features were selected for the classification of tissues in the included breast cancer patients. The average classification accuracy for all patients was 96.9%. Normal and abnormal breast tissue could be differentiated with a mean sensitivity of 94.8%, a specificity of 99.0%, a positive predictive value (PPV) of 99.1% and a negative predictive value (NPV) of 96.1%. For 66.6% patients all classifications reached 100%. Based on this convincing data, a future clinical application of OES-based tissue differentiation in breast cancer surgery seems to be feasible.
Collapse
Affiliation(s)
- Selin Guergan
- Department of Women’s Health, Tuebingen University Hospital, 72076 Tübingen, Germany; (B.B.); (R.F.); (G.H.); (C.R.); (A.S.); (S.Y.B.); (B.K.); (D.W.); (M.H.)
| | - Bettina Boeer
- Department of Women’s Health, Tuebingen University Hospital, 72076 Tübingen, Germany; (B.B.); (R.F.); (G.H.); (C.R.); (A.S.); (S.Y.B.); (B.K.); (D.W.); (M.H.)
| | - Regina Fugunt
- Department of Women’s Health, Tuebingen University Hospital, 72076 Tübingen, Germany; (B.B.); (R.F.); (G.H.); (C.R.); (A.S.); (S.Y.B.); (B.K.); (D.W.); (M.H.)
| | - Gisela Helms
- Department of Women’s Health, Tuebingen University Hospital, 72076 Tübingen, Germany; (B.B.); (R.F.); (G.H.); (C.R.); (A.S.); (S.Y.B.); (B.K.); (D.W.); (M.H.)
| | - Carmen Roehm
- Department of Women’s Health, Tuebingen University Hospital, 72076 Tübingen, Germany; (B.B.); (R.F.); (G.H.); (C.R.); (A.S.); (S.Y.B.); (B.K.); (D.W.); (M.H.)
| | - Anna Solomianik
- Department of Women’s Health, Tuebingen University Hospital, 72076 Tübingen, Germany; (B.B.); (R.F.); (G.H.); (C.R.); (A.S.); (S.Y.B.); (B.K.); (D.W.); (M.H.)
| | - Alexander Neugebauer
- Erbe Elektromedizin GmbH, Waldhoernlestr. 17, 72072 Tübingen, Germany; (A.N.); (D.N.); (M.S.); (O.J.); (K.A.B.); (S.D.); (M.D.E.)
| | - Daniela Nuessle
- Erbe Elektromedizin GmbH, Waldhoernlestr. 17, 72072 Tübingen, Germany; (A.N.); (D.N.); (M.S.); (O.J.); (K.A.B.); (S.D.); (M.D.E.)
| | - Mirjam Schuermann
- Erbe Elektromedizin GmbH, Waldhoernlestr. 17, 72072 Tübingen, Germany; (A.N.); (D.N.); (M.S.); (O.J.); (K.A.B.); (S.D.); (M.D.E.)
| | - Kristin Brunecker
- Erbe Elektromedizin GmbH, Waldhoernlestr. 17, 72072 Tübingen, Germany; (A.N.); (D.N.); (M.S.); (O.J.); (K.A.B.); (S.D.); (M.D.E.)
| | - Ovidiu Jurjut
- Erbe Elektromedizin GmbH, Waldhoernlestr. 17, 72072 Tübingen, Germany; (A.N.); (D.N.); (M.S.); (O.J.); (K.A.B.); (S.D.); (M.D.E.)
| | - Karen A. Boehme
- Erbe Elektromedizin GmbH, Waldhoernlestr. 17, 72072 Tübingen, Germany; (A.N.); (D.N.); (M.S.); (O.J.); (K.A.B.); (S.D.); (M.D.E.)
| | - Sascha Dammeier
- Erbe Elektromedizin GmbH, Waldhoernlestr. 17, 72072 Tübingen, Germany; (A.N.); (D.N.); (M.S.); (O.J.); (K.A.B.); (S.D.); (M.D.E.)
| | - Markus D. Enderle
- Erbe Elektromedizin GmbH, Waldhoernlestr. 17, 72072 Tübingen, Germany; (A.N.); (D.N.); (M.S.); (O.J.); (K.A.B.); (S.D.); (M.D.E.)
| | - Sabrina Bettio
- Institute of Pathology and Neuropathology, Tuebingen University Hospital, 72076 Tübingen, Germany; (S.B.); (I.G.-M.); (A.S.); (F.F.)
| | - Irene Gonzalez-Menendez
- Institute of Pathology and Neuropathology, Tuebingen University Hospital, 72076 Tübingen, Germany; (S.B.); (I.G.-M.); (A.S.); (F.F.)
| | - Annette Staebler
- Institute of Pathology and Neuropathology, Tuebingen University Hospital, 72076 Tübingen, Germany; (S.B.); (I.G.-M.); (A.S.); (F.F.)
| | - Sara Y. Brucker
- Department of Women’s Health, Tuebingen University Hospital, 72076 Tübingen, Germany; (B.B.); (R.F.); (G.H.); (C.R.); (A.S.); (S.Y.B.); (B.K.); (D.W.); (M.H.)
| | - Bernhard Kraemer
- Department of Women’s Health, Tuebingen University Hospital, 72076 Tübingen, Germany; (B.B.); (R.F.); (G.H.); (C.R.); (A.S.); (S.Y.B.); (B.K.); (D.W.); (M.H.)
| | - Diethelm Wallwiener
- Department of Women’s Health, Tuebingen University Hospital, 72076 Tübingen, Germany; (B.B.); (R.F.); (G.H.); (C.R.); (A.S.); (S.Y.B.); (B.K.); (D.W.); (M.H.)
| | - Falko Fend
- Institute of Pathology and Neuropathology, Tuebingen University Hospital, 72076 Tübingen, Germany; (S.B.); (I.G.-M.); (A.S.); (F.F.)
| | - Markus Hahn
- Department of Women’s Health, Tuebingen University Hospital, 72076 Tübingen, Germany; (B.B.); (R.F.); (G.H.); (C.R.); (A.S.); (S.Y.B.); (B.K.); (D.W.); (M.H.)
| |
Collapse
|
2
|
Lu T, Jorns JM, Patton M, Fisher R, Emmrich A, Doehring T, Schmidt TG, Ye DH, Yen T, Yu B. Rapid assessment of breast tumor margins using deep ultraviolet fluorescence scanning microscopy. JOURNAL OF BIOMEDICAL OPTICS 2020; 25:JBO-200272R. [PMID: 33241673 PMCID: PMC7688317 DOI: 10.1117/1.jbo.25.12.126501] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Accepted: 10/28/2020] [Indexed: 06/02/2023]
Abstract
SIGNIFICANCE Re-excision rates for women with invasive breast cancer undergoing breast conserving surgery (or lumpectomy) have decreased in the past decade but remain substantial. This is mainly due to the inability to assess the entire surface of an excised lumpectomy specimen efficiently and accurately during surgery. AIM The goal of this study was to develop a deep-ultraviolet scanning fluorescence microscope (DUV-FSM) that can be used to accurately and rapidly detect cancer cells on the surface of excised breast tissue. APPROACH A DUV-FSM was used to image the surfaces of 47 (31 malignant and 16 normal/benign) fresh breast tissue samples stained in propidium iodide and eosin Y solutions. A set of fluorescence images were obtained from each sample using low magnification (4 × ) and fully automated scanning. The images were stitched to form a color image. Three nonmedical evaluators were trained to interpret and assess the fluorescence images. Nuclear-cytoplasm ratio (N/C) was calculated and used for tissue classification. RESULTS DUV-FSM images a breast sample with subcellular resolution at a speed of 1.0 min / cm2. Fluorescence images show excellent visual contrast in color, tissue texture, cell density, and shape between invasive carcinomas and their normal counterparts. Visual interpretation of fluorescence images by nonmedical evaluators was able to distinguish invasive carcinoma from normal samples with high sensitivity (97.62%) and specificity (92.86%). Using N/C alone was able to differentiate patch-level invasive carcinoma from normal breast tissues with reasonable sensitivity (81.5%) and specificity (78.5%). CONCLUSIONS DUV-FSM achieved a good balance between imaging speed and spatial resolution with excellent contrast, which allows either visual or quantitative detection of invasive cancer cells on the surfaces of a breast surgical specimen.
Collapse
Affiliation(s)
- Tongtong Lu
- Marquette University and Medical College of Wisconsin, Department of Biomedical Engineering, Milwaukee, Wisconsin, United States
| | - Julie M. Jorns
- Medical College of Wisconsin, Department of Pathology, Milwaukee, Wisconsin, United States
| | - Mollie Patton
- Medical College of Wisconsin, Department of Pathology, Milwaukee, Wisconsin, United States
| | - Renee Fisher
- Marquette University and Medical College of Wisconsin, Department of Biomedical Engineering, Milwaukee, Wisconsin, United States
| | - Amanda Emmrich
- Medical College of Wisconsin, Department of Surgery, Milwaukee, Wisconsin, United States
| | | | - Taly Gilat Schmidt
- Marquette University and Medical College of Wisconsin, Department of Biomedical Engineering, Milwaukee, Wisconsin, United States
| | - Dong Hye Ye
- Marquette University, Department of Electrical and Computer Engineering, Milwaukee, Wisconsin, United States
| | - Tina Yen
- Medical College of Wisconsin, Department of Surgery, Milwaukee, Wisconsin, United States
| | - Bing Yu
- Marquette University and Medical College of Wisconsin, Department of Biomedical Engineering, Milwaukee, Wisconsin, United States
| |
Collapse
|