1
|
Firat C, Urganci N, Teplov A, Cesmecioglu E, Bakoglu N, Vakiani E, Ntiamoah P, Weiser MR, Garcia-Aguilar J, Hameed M, Yagi Y, Shia J. Micro-Computed Tomography Whole-Block Imaging Reveals Origin and Path of Rectal Cancer Tumor Deposits: A Pilot Study. Diagnostics (Basel) 2024; 14:1704. [PMID: 39202192 PMCID: PMC11353868 DOI: 10.3390/diagnostics14161704] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2024] [Revised: 08/01/2024] [Accepted: 08/03/2024] [Indexed: 09/03/2024] Open
Abstract
In colorectal carcinoma (CRC), tumor deposits (TDs) are described as macroscopic/microscopic nests/nodules in the lymph drainage area discontinuous with the primary mass, without identifiable lymph node (LN) tissue, and not confined to vascular or perineural spaces. A TD is categorized as pN1C only when no bona fide LN metastasis exists. However, there has been an ongoing debate on whether TDs should be counted as LNs. The fact that the origin of TDs is not fully understood adds further uncertainty. This pilot study aims to evaluate whether whole-block imaging by micro-computed tomography (micro-CT WBI) that enables three-dimensional reconstruction of whole-mount (WM) blocks can serve as a tool to assess the origin and path of CRC TDs. We evaluated whole-slide imaging (WSI) and micro-CT WBI of 20 WM blocks from a rectal cancer resection that contained TDs. Each TD was tracked through the contiguous blocks to define their origin and path. Of eleven TDs identified on WSI, six were detected on WBI. Strikingly, six of six TDs trackable through the blocks on WBI revealed an origin from the main tumor. This pilot study provided evidence that micro-CT WBI can serve as an effective tool to evaluate the origin and path of CRC TDs.
Collapse
Affiliation(s)
- Canan Firat
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (C.F.); (N.U.)
| | - Nil Urganci
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (C.F.); (N.U.)
| | - Alexei Teplov
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (C.F.); (N.U.)
| | - Emine Cesmecioglu
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (C.F.); (N.U.)
- Department of Pathology, Marmara University Research and Education Hospital, Istanbul 34899, Turkey
| | - Nilay Bakoglu
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (C.F.); (N.U.)
| | - Efsevia Vakiani
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (C.F.); (N.U.)
| | - Peter Ntiamoah
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (C.F.); (N.U.)
| | - Martin R. Weiser
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Julio Garcia-Aguilar
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Meera Hameed
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (C.F.); (N.U.)
| | - Yukako Yagi
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (C.F.); (N.U.)
| | - Jinru Shia
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (C.F.); (N.U.)
| |
Collapse
|
2
|
Kim H, Kim TG, Park B, Kim J, Jun SY, Lee JH, Choi HJ, Jung CS, Lee HW, Lee JS, Nam HY, Shin S, Kim SM, Kim H. Tailored radiation dose according to margin width for patients with ductal carcinoma in situ after breast-conserving surgery. Sci Rep 2024; 14:300. [PMID: 38168758 PMCID: PMC10761984 DOI: 10.1038/s41598-023-50840-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Accepted: 12/27/2023] [Indexed: 01/05/2024] Open
Abstract
A 2 mm resection margin is considered adequate for ductal carcinoma in situ (DCIS). We assessed the effectiveness of a tailored radiation dose for margins < 2 mm and the appropriate margin width for high-risk DCIS. We retrospectively evaluated 137 patients who received adjuvant radiotherapy after breast-conserving surgery for DCIS between 2013 and 2019. The patients were divided into three- positive, close (< 2 mm), and negative (≥ 2 mm) margin groups. Radiation dose to the tumor bed in equivalent dose in 2 Gy fractions were a median of 66.25 Gy, 61.81 Gy, and 59.75 Gy for positive, close, and negative margin groups, respectively. During a median follow-up of 58 months, the crude rates of local recurrence were 15.0%, 6.7%, and 4.6% in the positive, close, and negative margin groups, respectively. The positive margin group had a significantly lower 5-year local recurrence-free survival (LRFS) rate compared to the close and negative margin groups in propensity-weighted log-rank analysis (84.82%, 93.27%, and 93.20%, respectively; p = 0.008). The difference in 5-year LRFS between patients with the high- and non-high-grade tumors decreased as the margin width increased (80.4% vs. 100.0% for margin ≥ 2 mm, p < 0.001; 92.3% vs. 100.0% for margin ≥ 6 mm, p = 0.123). With the radiation dose tailored for margin widths, positive margins were associated with poorer local control than negative margins, whereas close margins were not. Widely clear margins (≥ 2 mm) were related to favorable local control for high-grade DCIS.
Collapse
Affiliation(s)
- Hyunjung Kim
- Departments of Radiation Oncology, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, 630-522, South Korea
| | - Tae Gyu Kim
- Departments of Radiation Oncology, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, 630-522, South Korea.
| | - Byungdo Park
- Departments of Radiation Oncology, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, 630-522, South Korea
| | - Jeongho Kim
- Departments of Radiation Oncology, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, 630-522, South Korea
| | - Si-Youl Jun
- Departments of Surgery, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, South Korea
| | - Jun Ho Lee
- Departments of Surgery, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, South Korea
| | - Hee Jun Choi
- Departments of Surgery, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, South Korea
| | - Chang Shin Jung
- Departments of Surgery, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, South Korea
| | - Hyoun Wook Lee
- Departments of Pathology, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, South Korea
| | - Jae Seok Lee
- Departments of Pathology, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, South Korea
| | - Hyun Yeol Nam
- Departments of Nuclear Medicine, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, South Korea
| | - Seunghyen Shin
- Departments of Nuclear Medicine, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, South Korea
| | - Sung Min Kim
- Departments of Internal Medicine, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, South Korea
| | - Haeyoung Kim
- Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| |
Collapse
|
3
|
A pilot study of micro-CT-based whole tissue imaging (WTI) on endoscopic submucosal dissection (ESD) specimens. Sci Rep 2022; 12:9889. [PMID: 35701447 PMCID: PMC9198046 DOI: 10.1038/s41598-022-13907-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 05/30/2022] [Indexed: 12/25/2022] Open
Abstract
Endoscopic submucosal dissection can remove large superficial gastrointestinal lesions in en bloc. A detailed pathological evaluation of the resected specimen is required to assess the risk of recurrence after treatment. However, the current method of sectioning specimens to a thickness of a few millimeters does not provide information between the sections that are lost during the preparation. In this study, we have produced three-dimensional images of the entire dissected lesion for nine samples by using micro-CT imaging system. Although it was difficult to diagnose histological type on micro-CT images, it successfully evaluates the extent of the lesion and its surgical margins. Micro-CT images can depict sites that cannot be observed by the conventional pathological diagnostic process, suggesting that it may be useful to use in a complementary manner.
Collapse
|
4
|
Kramer CJH, Vreeswijk MPG, Thijssen B, Bosse T, Wesseling J. Beyond the snapshot: optimizing prognostication and prediction by moving from fixed to functional multidimensional cancer pathology. J Pathol 2022; 257:403-412. [PMID: 35438188 PMCID: PMC9324156 DOI: 10.1002/path.5915] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 04/11/2022] [Accepted: 04/13/2022] [Indexed: 11/10/2022]
Abstract
The role of pathology in patient management has evolved over time from the retrospective review of cells, tissue, and disease (‘what happened’) to a prospective outlook (‘what will happen’). Examination of a static, two‐dimensional hematoxylin and eosin (H&E)‐stained tissue slide has traditionally been the pathologist's primary task, but novel ancillary techniques enabled by technological breakthroughs have supported pathologists in their increasing ability to predict disease status and behaviour. Nevertheless, the informational limits of 2D, fixed tissue are now being reached and technological innovation is urgently needed to ensure that our understanding of disease entities continues to support improved individualized treatment options. Here we review pioneering work currently underway in the field of cancer pathology that has the potential to capture information beyond the current basic snapshot. A selection of exciting new technologies is discussed that promise to facilitate integration of the functional and multidimensional (space and time) information needed to optimize the prognostic and predictive value of cancer pathology. Learning how to analyse, interpret, and apply the wealth of data acquired by these new approaches will challenge the knowledge and skills of the pathology community. © 2022 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
Collapse
Affiliation(s)
- C J H Kramer
- Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands
| | - M P G Vreeswijk
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - B Thijssen
- Division of Molecular Carcinogenesis, Oncode Institute, Netherlands Cancer Institute, Amsterdam, The Netherlands.,Department of Biomolecular Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - T Bosse
- Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands
| | - J Wesseling
- Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands.,Department of Pathology, Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands.,Division of Molecular Pathology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| |
Collapse
|
5
|
Abstract
PURPOSE Little is known about the three-dimensional shape of breast cancer. Implicit to approaches that localize the center of the tumor for breast-conserving surgery (BCS) of non-palpable cancers is the assumption that breast cancers are spherical about a central point, which may not be accurate. METHODS Pre-operative supine breast MRI images were obtained of 83 breast cancer patients undergoing partial mastectomy using supine MRI-guided resection techniques. Three-dimensional (3D) tumor models were derived after radiologists outlined tumor edges on successive MRI slices. Ideal resection volumes were determined by adding 1 cm in every dimension to the actual tumor volume. Geometrically defined parameters were used to define tumor shapes and associations between clinical variables and shapes were examined. RESULTS Seventy-five patients had invasive cancer. Breast cancers were categorized into four tumor shapes: 34% of tumors were discoidal, 29% segmental, 19% spherical, and 18% irregular. If hypothetical spherical excisions were performed, non-spherical cases would excise 143% more tissue than the ideal resection volume. When the 3D shape of each tumor was provided to the surgeon during MR-guided BCS, the percentage of tissue overexcised in non-spherical cases was significantly less (143% vs. 66%, p < 0.001). CONCLUSIONS Information obtained from a supine MRI can be used to generate 3D tumor models and rapidly classify breast tumor shapes. The vast majority of invasive cancers and DCIS are not spherical. Knowledge of tumor shape may allow surgeons to excise breast cancer more precisely.
Collapse
|
6
|
Clarke GM, Holloway CMB, Zubovits JT, Nofech-Mozes S, Murray M, Liu K, Wang D, Kiss A, Yaffe MJ. Three-dimensional tumor visualization of invasive breast carcinomas using whole-mount serial section histopathology: implications for tumor size assessment. Breast Cancer Res Treat 2019; 174:669-677. [PMID: 30612274 DOI: 10.1007/s10549-018-05122-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2018] [Accepted: 12/26/2018] [Indexed: 12/30/2022]
Abstract
PURPOSE Linear tumor size (T-size) estimated with conventional histology informs breast cancer management. Previously we demonstrated significant differences in margin and focality estimates using conventional histology versus digital whole-mount serial sections (WMSS). Using WMSS we can measure T-size or volume. Here, we compare WMSS T-size with volume, and with T-size measured conventionally. We also compare the ellipsoid model for calculating tumor volume to direct, WMSS measurement. METHODS Two pathologists contoured regions of invasive carcinoma and measured T-size from both WMSS and (simulated) conventional sections in 55 consecutive lumpectomy specimens. Volume was measured directly from the contours. Measurements were compared using the paired t-test or Spearman's rank-order correlation. A five-point 'border index' was devised and assigned to each case to parametrize tumor shape considering 'compactness' or cellularity. Tumor volumes calculated assuming ellipsoid geometry were compared with direct, WMSS measurements. RESULTS WMSS reported significantly larger T-size than conventional histology in the majority of cases [61.8%, 34/55; means = (2.34 cm; 1.99 cm), p < 0.001], with a 16.4% (9/55) rate of 'upstaging'. The majority of discordances were due to undersampling. T-size and volume were strongly correlated (r = 0.838, p < 0.001). Significantly lower volume was obtained with WMSS versus ellipsoid modeling [means = (1.18 cm3; 1.45 cm3), p < 0.001]. CONCLUSIONS Significantly larger T-size is measured with WMSS than conventionally, due primarily to undersampling in the latter. Volume and linear size are highly correlated. Diffuse tumors interspersed with normal or non-invasive elements may be sampled less extensively than more localized masses. The ellipsoid model overestimates tumor volume.
Collapse
Affiliation(s)
- G M Clarke
- Physical Sciences Platform, Sunnybrook Research Institute, Room C7-27c 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada
| | - C M B Holloway
- Department of Surgery, Faculty of Medicine, University of Toronto, Toronto, Canada
- Department of Surgery, Sunnybrook Health Sciences Centre, Room T2-015 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada
| | - J T Zubovits
- Department of Laboratory Medicine and Pathobiology, Faculty of Medicine, University of Toronto, Toronto, Canada
- Department of Pathology, Scarborough and Rouge Hospital, 3030 Birchmount Road, Toronto, ON, M1W 3W3, Canada
| | - S Nofech-Mozes
- Department of Laboratory Medicine and Pathobiology, Faculty of Medicine, University of Toronto, Toronto, Canada
- Sunnybrook Health Sciences Centre, Room E423a 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada
| | - M Murray
- Physical Sciences Platform, Sunnybrook Research Institute, Room C7-48a 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada
| | - K Liu
- Physical Sciences Platform, Sunnybrook Research Institute, Room C7-27a 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada
| | - D Wang
- Physical Sciences Platform, Sunnybrook Research Institute, Room C7-27a 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada
| | - A Kiss
- Research Design and Biostatistics, Sunnybrook Research Institute, Toronto, ON, Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto, Room G106 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada
| | - M J Yaffe
- Departments of Medical Biophysics and Medical Imaging, Faculty of Medicine, University of Toronto, Toronto, Canada.
- Physical Sciences Platform, Sunnybrook Research Institute, Room S6-57 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada.
| |
Collapse
|
7
|
Rajković N, Li X, Plataniotis KN, Kanjer K, Radulovic M, Milošević NT. The Pan-Cytokeratin Staining Intensity and Fractal Computational Analysis of Breast Tumor Malignant Growth Patterns Prognosticate the Occurrence of Distant Metastasis. Front Oncol 2018; 8:348. [PMID: 30214894 PMCID: PMC6125390 DOI: 10.3389/fonc.2018.00348] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2018] [Accepted: 08/08/2018] [Indexed: 11/13/2022] Open
Abstract
Improved prognosis of breast cancer outcome could prolong patient survival by reliable identification of patients at high risk of metastasis occurrence which could benefit from more aggressive treatments. Based on such clinical need, we prognostically evaluated the malignant cells in breast tumors, as the obvious potential source of unexploited prognostic information. The patient group was homogeneous, without any systemic treatments or lymph node spread, with smaller tumor size (pT1/2) and a long follow-up. Epithelial cells were labeled with AE1/AE3 pan-cytokeratin antibody cocktail and comprehensively analyzed. Monofractal and multifractal analyses were applied for quantification of distribution, shape, complexity and texture of malignant cell clusters, while mean pixel intensity and total area were measures of the pan-cytokeratin immunostaining intensity. The results surprisingly indicate that simple binary images and monofractal analysis provided better prognostic information then grayscale images and multifractal analysis. The key findings were that shapes and distribution of malignant cell clusters (by binary fractal dimension; AUC = 0.29), their contour shapes (by outline fractal dimension; AUC = 0.31) and intensity of the pan-cytokeratin immunostaining (by mean pixel intensity; AUC = 0.30) offered significant performance in metastasis risk prognostication. The results reveal an association between the lower pan-cytokeratin staining intensity and the high metastasis risk. Another interesting result was that multivariate analysis could confirm the prognostic independence only for fractal but not for immunostaining intensity features. The obtained results reveal several novel and unexpected findings highlighting the independent prognostic efficacy of malignant cell cluster distribution and contour shapes in breast tumors.
Collapse
Affiliation(s)
- Nemanja Rajković
- Department of Biophysics, School of Medicine, University of Belgrade, Belgrade, Serbia
| | - Xingyu Li
- Multimedia Laboratory, The Edward S. Rogers Sr. Department of Electrical & Computer Engineering, University of Toronto, Toronto, ON, Canada
| | - Konstantinos N Plataniotis
- Multimedia Laboratory, The Edward S. Rogers Sr. Department of Electrical & Computer Engineering, University of Toronto, Toronto, ON, Canada
| | - Ksenija Kanjer
- Department of Experimental Oncology, Institute for Oncology and Radiology, Belgrade, Serbia
| | - Marko Radulovic
- Department of Experimental Oncology, Institute for Oncology and Radiology, Belgrade, Serbia
| | - Nebojša T Milošević
- Department of Biophysics, School of Medicine, University of Belgrade, Belgrade, Serbia
| |
Collapse
|
8
|
Smith BL, Gadd MA, Lanahan CR, Rai U, Tang R, Rice-Stitt T, Merrill AL, Strasfeld DB, Ferrer JM, Brachtel EF, Specht MC. Real-time, intraoperative detection of residual breast cancer in lumpectomy cavity walls using a novel cathepsin-activated fluorescent imaging system. Breast Cancer Res Treat 2018; 171:413-420. [PMID: 29948401 DOI: 10.1007/s10549-018-4845-4] [Citation(s) in RCA: 59] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2018] [Accepted: 05/29/2018] [Indexed: 10/14/2022]
Abstract
PURPOSE Obtaining tumor-free surgical margins is critical to prevent recurrence in breast-conserving surgery but it remains challenging. We assessed the LUM Imaging System for real-time, intraoperative detection of residual tumor. METHODS Lumpectomy cavity walls and excised specimens of breast cancer lumpectomy patients were assessed with the LUM Imaging System (Lumicell, Inc., Wellesley MA) with and without intravenous LUM015, a cathepsin-activatable fluorescent agent. Fluorescence at potential sites of residual tumor was evaluated with a sterile hand-held probe, displayed on a monitor and correlated with histopathology. RESULTS Background autofluorescence was assessed in excised specimens from 9 patients who did not receive LUM015. In vivo lumpectomy cavities and excised specimens were then imaged in 15 women undergoing breast cancer surgery who received no LUM015, 0.5, or 1 mg/kg LUM015 (5 women per dose). Among these, 11 patients had invasive carcinoma with ductal carcinoma in situ (DCIS) and 4 had only DCIS. Image acquisition took 1 s for each 2.6-cm-diameter surface. No significant background normal breast fluorescence was identified. Elevated fluorescent signal was seen from invasive cancers and DCIS. Mean tumor-to-normal signal ratios were 4.70 ± 1.23 at 0.5 mg/kg and 4.22 ± 0.9 at 1.0 mg/kg (p = 0.54). Tumor was distinguished from normal tissue in pre-and postmenopausal women and readings were not affected by breast density. Some benign tissues produced fluorescent signal with LUM015. CONCLUSION The LUM Imaging System allows rapid identification of residual tumor in the lumpectomy cavity of breast cancer patients and may reduce rates of positive margins.
Collapse
Affiliation(s)
- Barbara L Smith
- Division of Surgical Oncology, Massachusetts General Hospital, 55 Fruit Street, Boston, MA, 02114, USA. .,Massachusetts General Hospital Center for Breast Cancer, Yawkey 9A, 55 Fruit Street, Boston, MA, 02114, USA.
| | - Michele A Gadd
- Division of Surgical Oncology, Massachusetts General Hospital, 55 Fruit Street, Boston, MA, 02114, USA
| | - Conor R Lanahan
- Division of Surgical Oncology, Massachusetts General Hospital, 55 Fruit Street, Boston, MA, 02114, USA
| | - Upahvan Rai
- Division of Surgical Oncology, Massachusetts General Hospital, 55 Fruit Street, Boston, MA, 02114, USA
| | - Rong Tang
- Division of Surgical Oncology, Massachusetts General Hospital, 55 Fruit Street, Boston, MA, 02114, USA
| | - Travis Rice-Stitt
- Department of Pathology, Massachusetts General Hospital, 55 Fruit Street, Boston, MA, 02114, USA
| | - Andrea L Merrill
- Division of Surgical Oncology, Massachusetts General Hospital, 55 Fruit Street, Boston, MA, 02114, USA
| | | | - Jorge M Ferrer
- Lumicell, Inc, 80 William Street #260, Wellesley, 02481, MA, USA
| | - Elena F Brachtel
- Department of Pathology, Massachusetts General Hospital, 55 Fruit Street, Boston, MA, 02114, USA
| | - Michelle C Specht
- Division of Surgical Oncology, Massachusetts General Hospital, 55 Fruit Street, Boston, MA, 02114, USA
| |
Collapse
|