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Veluponnar D, de Boer LL, Dashtbozorg B, Jong LJS, Geldof F, Guimaraes MDS, Sterenborg HJCM, Vrancken-Peeters MJTFD, van Duijnhoven F, Ruers T. Margin assessment during breast conserving surgery using diffuse reflectance spectroscopy. JOURNAL OF BIOMEDICAL OPTICS 2024; 29:045006. [PMID: 38665316 PMCID: PMC11045169 DOI: 10.1117/1.jbo.29.4.045006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/03/2024] [Revised: 04/03/2024] [Accepted: 04/08/2024] [Indexed: 04/28/2024]
Abstract
Significance During breast-conserving surgeries, it is essential to evaluate the resection margins (edges of breast specimen) to determine whether the tumor has been removed completely. In current surgical practice, there are no methods available to aid in accurate real-time margin evaluation. Aim In this study, we investigated the diagnostic accuracy of diffuse reflectance spectroscopy (DRS) combined with tissue classification models in discriminating tumorous tissue from healthy tissue up to 2 mm in depth on the actual resection margin of in vivo breast tissue. Approach We collected an extensive dataset of DRS measurements on ex vivo breast tissue and in vivo breast tissue, which we used to develop different classification models for tissue classification. Next, these models were used in vivo to evaluate the performance of DRS for tissue discrimination during breast conserving surgery. We investigated which training strategy yielded optimum results for the classification model with the highest performance. Results We achieved a Matthews correlation coefficient of 0.76, a sensitivity of 96.7% (95% CI 95.6% to 98.2%), a specificity of 90.6% (95% CI 86.3% to 97.9%) and an area under the curve of 0.98 by training the optimum model on a combination of ex vivo and in vivo DRS data. Conclusions DRS allows real-time margin assessment with a high sensitivity and specificity during breast-conserving surgeries.
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Affiliation(s)
- Dinusha Veluponnar
- Netherlands Cancer Institute, Antoni van Leeuwenhoek, Department of Surgery, Image-Guided Surgery, Amsterdam, The Netherlands
- University of Twente, Department of Nanobiophysics, Faculty of Science and Technology, Enschede, The Netherlands
| | - Lisanne L. de Boer
- Netherlands Cancer Institute, Antoni van Leeuwenhoek, Department of Surgery, Image-Guided Surgery, Amsterdam, The Netherlands
| | - Behdad Dashtbozorg
- Netherlands Cancer Institute, Antoni van Leeuwenhoek, Department of Surgery, Image-Guided Surgery, Amsterdam, The Netherlands
| | - Lynn-Jade S. Jong
- Netherlands Cancer Institute, Antoni van Leeuwenhoek, Department of Surgery, Image-Guided Surgery, Amsterdam, The Netherlands
- University of Twente, Department of Nanobiophysics, Faculty of Science and Technology, Enschede, The Netherlands
| | - Freija Geldof
- Netherlands Cancer Institute, Antoni van Leeuwenhoek, Department of Surgery, Image-Guided Surgery, Amsterdam, The Netherlands
- University of Twente, Department of Nanobiophysics, Faculty of Science and Technology, Enschede, The Netherlands
| | - Marcos Da Silva Guimaraes
- Netherlands Cancer Institute, Antoni van Leeuwenhoek, Department of Pathology, Amsterdam, The Netherlands
| | - Henricus J. C. M. Sterenborg
- Amsterdam University Medical Center, Department of Biomedical Engineering and Physics, Amsterdam, The Netherlands
| | | | - Frederieke van Duijnhoven
- Netherlands Cancer Institute, Antoni van Leeuwenhoek, Department of Surgery, Image-Guided Surgery, Amsterdam, The Netherlands
| | - Theo Ruers
- Netherlands Cancer Institute, Antoni van Leeuwenhoek, Department of Surgery, Image-Guided Surgery, Amsterdam, The Netherlands
- University of Twente, Department of Nanobiophysics, Faculty of Science and Technology, Enschede, The Netherlands
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Jiang T, Yang S, Wang G, Tan Y, Liu S. Development and validation of survival nomograms in elder triple-negative invasive ductal breast carcinoma patients. Expert Rev Anticancer Ther 2024; 24:193-203. [PMID: 38366359 DOI: 10.1080/14737140.2024.2320815] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Accepted: 12/06/2023] [Indexed: 02/18/2024]
Abstract
BACKGROUND We aimed to develop a nomogram to predict the overall survival of elderly patients with Triple-negative invasive ductal breast carcinoma (TNIDC). RESEARCH DESIGN AND METHODS 12165 elderly patients with nonmetastatic TNIDC were retrieved from the SEER database from 2010 to 2019 and were randomly assigned to training and validation cohorts. Stepwise Cox regression analysis was used to select variables for the nomogram based on the training cohort. Univariate and multivariate Cox analyses were used to calculate the correlation between variables and prognosis of the patients. Survival analysis was performed for high- and low-risk subgroups based on risk score. RESULTS Eleven predictive factors were identified to construct our nomograms. Compared with the TNM stage, the discrimination of the nomogram revealed good prognostic accuracy and clinical applicability as indicated by C-index values of 0.741 (95% CI 0.728-0.754) against 0.708 (95% CI 0.694-0.721) and 0.765 (95% CI 0.747-0.783) against 0.725 (95% CI 0.705-0.744) for the training and validation cohorts, respectively. Differences in OS were also observed between the high- and low-risk groups (p < 0.001). CONCLUSION The proposed nomogram provides a convenient and reliable tool for individual evaluations for elderly patients with M0_stage TNIDC. However, the model may only for Americans.
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Affiliation(s)
- Tao Jiang
- Guizhou Medical University, Guiyang, Guizhou, China
| | - Sha Yang
- Medical College, Guizhou University Medical College, Guiyang, Guizhou Province, China
| | - Guanghui Wang
- Department of Breast Surgery, Guizhou Provincial People's Hospital, Guiyang, Guizhou, China
| | - Ying Tan
- Department of Neurosurgery, Guizhou Provincial People's Hospital, Guiyang, China
| | - Shu Liu
- Guizhou Medical University, Guiyang, Guizhou, China
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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.
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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.)
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Veluponnar D, Dashtbozorg B, Jong LJS, Geldof F, Da Silva Guimaraes M, Vrancken Peeters MJTFD, van Duijnhoven F, Sterenborg HJCM, Ruers TJM, de Boer LL. Diffuse reflectance spectroscopy for accurate margin assessment in breast-conserving surgeries: importance of an optimal number of fibers. BIOMEDICAL OPTICS EXPRESS 2023; 14:4017-4036. [PMID: 37799696 PMCID: PMC10549728 DOI: 10.1364/boe.493179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 06/05/2023] [Accepted: 06/05/2023] [Indexed: 10/07/2023]
Abstract
During breast-conserving surgeries, it remains challenging to accomplish adequate surgical margins. We investigated different numbers of fibers for fiber-optic diffuse reflectance spectroscopy to differentiate tumorous breast tissue from healthy tissue ex vivo up to 2 mm from the margin. Using a machine-learning classification model, the optimal performance was obtained using at least three emitting fibers (Matthew's correlation coefficient (MCC) of 0.73), which was significantly higher compared to the performance of using a single-emitting fiber (MCC of 0.48). The percentage of correctly classified tumor locations varied from 75% to 100% depending on the tumor percentage, the tumor-margin distance and the number of fibers.
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Affiliation(s)
- Dinusha Veluponnar
- Department of Surgery,
Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
- Department of Nanobiophysics, Faculty of Science and Technology, University of Twente, Drienerlolaan 5, 7522 NB Enschede, The Netherlands
| | - Behdad Dashtbozorg
- Department of Surgery,
Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
| | - Lynn-Jade S. Jong
- Department of Surgery,
Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
- Department of Nanobiophysics, Faculty of Science and Technology, University of Twente, Drienerlolaan 5, 7522 NB Enschede, The Netherlands
| | - Freija Geldof
- Department of Surgery,
Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
- Department of Nanobiophysics, Faculty of Science and Technology, University of Twente, Drienerlolaan 5, 7522 NB Enschede, The Netherlands
| | - Marcos Da Silva Guimaraes
- Department of Pathology, Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
| | | | - Frederieke van Duijnhoven
- Department of Surgery,
Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
| | - Henricus J. C. M. Sterenborg
- Department of Surgery,
Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
- Department of Biomedical Engineering and Physics, Amsterdam University Medical Center, Meibergdreef 9, 1105 AZ Amsterdam, Netherlands
| | - Theo J. M. Ruers
- Department of Surgery,
Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
- Department of Nanobiophysics, Faculty of Science and Technology, University of Twente, Drienerlolaan 5, 7522 NB Enschede, The Netherlands
| | - Lisanne L. de Boer
- Department of Surgery,
Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
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Perez RC, Kim D, Maxwell AWP, Camacho JC. Functional Imaging of Hypoxia: PET and MRI. Cancers (Basel) 2023; 15:3336. [PMID: 37444446 DOI: 10.3390/cancers15133336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 06/22/2023] [Accepted: 06/22/2023] [Indexed: 07/15/2023] Open
Abstract
Molecular and functional imaging have critical roles in cancer care. Existing evidence suggests that noninvasive detection of hypoxia within a particular type of cancer can provide new information regarding the relationship between hypoxia, cancer aggressiveness and altered therapeutic responses. Following the identification of hypoxia inducible factor (HIF), significant progress in understanding the regulation of hypoxia-induced genes has been made. These advances have provided the ability to therapeutically target HIF and tumor-associated hypoxia. Therefore, by utilizing the molecular basis of hypoxia, hypoxia-based theranostic strategies are in the process of being developed which will further personalize care for cancer patients. The aim of this review is to provide an overview of the significance of tumor hypoxia and its relevance in cancer management as well as to lay out the role of imaging in detecting hypoxia within the context of cancer.
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Affiliation(s)
- Ryan C Perez
- Florida State University College of Medicine, Tallahassee, FL 32306, USA
| | - DaeHee Kim
- Department of Diagnostic Imaging, The Warren Alpert Medical School, Brown University, Providence, RI 02903, USA
| | - Aaron W P Maxwell
- Department of Diagnostic Imaging, The Warren Alpert Medical School, Brown University, Providence, RI 02903, USA
| | - Juan C Camacho
- Department of Clinical Sciences, Florida State University College of Medicine, Tallahassee, FL 32306, USA
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Optical spectroscopy and chemometrics in intraoperative tumor margin assessment. Trends Analyt Chem 2023. [DOI: 10.1016/j.trac.2023.116955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
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