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Shigeyama M, Nishio N, Wada A, Mitani S, Morimoto G, Yokoi S, Mukoyama N, Yokoi M, van Keulen S, Rosenthal E, Sone M. Development of a plant-based surgical training model for fluorescence-guided cancer surgery. Head Neck 2024; 46:2274-2283. [PMID: 38842188 DOI: 10.1002/hed.27835] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Revised: 05/24/2024] [Accepted: 05/27/2024] [Indexed: 06/07/2024] Open
Abstract
BACKGROUND Fluorescence-guided surgery (FGS) can help surgeons to discriminate tumor tissue from adjacent normal tissues using fluorescent tracers. METHODS We developed a surgical training model, manufactured using sustainable vegetable organic material with indocyanine green (ICG)-containing "tumor." Surgeons evaluated the model with both the closed-field and endoscopic fluorescence imaging devices and assessed its efficacy to identify residual tumor after enucleation using electrocautery. RESULTS Strong correlations of fluorescence were obtained at all working distance (3, 5, 7, and 10 cm), showing the robustness of fluorescence signal for the closed-field and endoscopic fluorescence imaging devices. The higher fluorescence signals were obtained in the wound bed in the closed-field fluorescence imaging device and the residual tumor could be clearly identified by fluorescence endoscopy. CONCLUSIONS Our FGS training model may provide experience for surgeons unfamiliar with optical surgery and subsequent tissue interactions. The model seemed particularly helpful in teaching surgeons the principles of FGS.
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Affiliation(s)
- Mayu Shigeyama
- Department of Otorhinolaryngology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Naoki Nishio
- Department of Otorhinolaryngology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Akihisa Wada
- Department of Otorhinolaryngology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Sohei Mitani
- Department of Otolaryngology - Head and Neck Surgery, Ehime University Graduate School of Medicine, Toon, Japan
| | | | - Sayaka Yokoi
- Department of Otorhinolaryngology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Nobuaki Mukoyama
- Department of Otorhinolaryngology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Mai Yokoi
- Department of Otorhinolaryngology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Stan van Keulen
- Department of Oral and Maxillofacial Surgery, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Eben Rosenthal
- Department of Otolaryngology - Head and Neck Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Michihiko Sone
- Department of Otorhinolaryngology, Nagoya University Graduate School of Medicine, Nagoya, Japan
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Prasad K, Fassler C, Miller A, Aweeda M, Pruthi S, Fusco JC, Daniel B, Miga M, Wu JY, Topf MC. More than meets the eye: Augmented reality in surgical oncology. J Surg Oncol 2024. [PMID: 39155686 DOI: 10.1002/jso.27790] [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: 06/30/2024] [Accepted: 07/09/2024] [Indexed: 08/20/2024]
Abstract
BACKGROUND AND OBJECTIVES In the field of surgical oncology, there has been a desire for innovative techniques to improve tumor visualization, resection, and patient outcomes. Augmented reality (AR) technology superimposes digital content onto the real-world environment, enhancing the user's experience by blending digital and physical elements. A thorough examination of AR technology in surgical oncology has yet to be performed. METHODS A scoping review of intraoperative AR in surgical oncology was conducted according to the guidelines and recommendations of The Preferred Reporting Items for Systematic Review and Meta-analyzes Extension for Scoping Reviews (PRISMA-ScR) framework. All original articles examining the use of intraoperative AR during surgical management of cancer were included. Exclusion criteria included virtual reality applications only, preoperative use only, fluorescence, AR not specific to surgical oncology, and study design (reviews, commentaries, abstracts). RESULTS A total of 2735 articles were identified of which 83 were included. Most studies (52) were performed on animals or phantom models, while the remaining included patients. A total of 1112 intraoperative AR surgical cases were performed across the studies. The most common anatomic site was brain (20 articles), followed by liver (16), renal (9), and head and neck (8). AR was most often used for intraoperative navigation or anatomic visualization of tumors or critical structures but was also used to identify osteotomy or craniotomy planes. CONCLUSIONS AR technology has been applied across the field of surgical oncology to aid in localization and resection of tumors.
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Affiliation(s)
- Kavita Prasad
- Department of Otolaryngology-Head & Neck Surgery, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Carly Fassler
- Department of Otolaryngology-Head & Neck Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Alexis Miller
- Department of Otolaryngology-Head & Neck Surgery, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Marina Aweeda
- Department of Otolaryngology-Head & Neck Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Sumit Pruthi
- Department of Radiology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Joseph C Fusco
- Department of Pediatric Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Bruce Daniel
- Department of Radiology, Stanford Health Care, Palo Alto, California, USA
| | - Michael Miga
- Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, USA
| | - Jie Ying Wu
- Department of Computer Science, Vanderbilt University, Nashville, Tennessee, USA
| | - Michael C Topf
- Department of Otolaryngology-Head & Neck Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA
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3
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Shah HP, Cohen O, Bourdillon AT, Burtness BA, Boffa DJ, Young M, Judson BL, Mehra S. Identifying Opportunities to Deliver High-Quality Cancer Care Across a Health System: A Clinical Responsibility. Otolaryngol Head Neck Surg 2024; 171:445-456. [PMID: 38606669 DOI: 10.1002/ohn.755] [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: 09/25/2023] [Revised: 02/29/2024] [Accepted: 03/15/2024] [Indexed: 04/13/2024]
Abstract
OBJECTIVE We examined process-related quality metrics for oral squamous cell carcinoma (OSCC) depending on treating facility type across a health system and region. STUDY DESIGN Retrospective in accordance with Strengthening the Reporting of Observational Studies in Epidemiology guidelines. SETTING Single health system and region. METHODS Patients with OSCC diagnosed between 2012 and 2018 were identified from tumor registries of 6 hospitals (1 academic and 5 community) within a single health system. Patients were categorized into 3 care groups: (1) solely at the academic center, (2) solely at community facilities, and (3) combined care at academic and community facilities. Primary outcome measures were process-related quality metrics: positive surgical margin rate, lymph node yield (LNY), adjuvant treatment initiation ≤6 weeks, National Comprehensive Cancer Network (NCCN)-guideline adherence. RESULTS A total of 499 patients were included: 307 (61.5%) patients in the academic-only group, 101 (20.2%) in the community-only group, and 91 (18.2%) in the combined group. Surgery at community hospitals was associated with increased odds of positive surgical margins (11.9% vs 2.5%, odds ratio [OR]: 47.73, 95% confidence interval [CI]: 11.2-275.86, P < .001) and lower odds of LNY ≥ 18 (52.8% vs 85.9%, OR: 0.15, 95% CI: 0.07-0.33, P < .001) relative to the academic center. Compared with the academic-only group, odds of adjuvant treatment initiation ≤6 weeks were lower for the combined group (OR: 0.30, 95% CI: 0.13-0.64, P = .002) and odds of NCCN guideline-adherent treatment were lower in the community only group (OR: 0.35, 95% CI: 0.18-0.70, P = .003). CONCLUSION Quality of oral cancer care across the health system and region is comparable to or better-than national standards, indicating good baseline quality of care. Differences by facility type and fragmentation of care present an opportunity for bringing best in-class cancer care across an entire region.
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Affiliation(s)
- Hemali P Shah
- Department of Otolaryngology-Head and Neck Surgery, MedStar Georgetown University Hospital, Washington, District of Columbia, USA
- Division of Otolaryngology-Head and Neck Surgery, Yale Department of Surgery, New Haven, Connecticut, USA
| | - Oded Cohen
- Division of Otolaryngology-Head and Neck Surgery, Yale Department of Surgery, New Haven, Connecticut, USA
- Yale Cancer Center, New Haven, Connecticut, USA
- Department of Otolaryngology-Head and Neck Surgery, Ben Gurion University of the Negev Samson Assuta Ashdod University Hospital, Ashdod, Israel
| | - Alexandra T Bourdillon
- Division of Otolaryngology-Head and Neck Surgery, Yale Department of Surgery, New Haven, Connecticut, USA
- Department of Otolaryngology-Head and Neck Surgery, University of California-San Francisco School of Medicine, San Francisco, California, USA
| | - Barbara A Burtness
- Yale Cancer Center, New Haven, Connecticut, USA
- Division of Medical Oncology, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA
| | - Daniel J Boffa
- Yale Cancer Center, New Haven, Connecticut, USA
- Section of Thoracic Surgery, Department of Surgery, Yale School of Medicine, New Haven, Connecticut, USA
| | - Melissa Young
- Department of Therapeutic Radiology, Yale School of Medicine, New Haven, Connecticut, USA
| | - Benjamin L Judson
- Division of Otolaryngology-Head and Neck Surgery, Yale Department of Surgery, New Haven, Connecticut, USA
- Yale Cancer Center, New Haven, Connecticut, USA
| | - Saral Mehra
- Division of Otolaryngology-Head and Neck Surgery, Yale Department of Surgery, New Haven, Connecticut, USA
- Yale Cancer Center, New Haven, Connecticut, USA
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4
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Vonk J, Kruijff S, Slart RHJA, Szymanski W, Witjes MJH, Glaudemans AWJM. Towards molecular imaging-guided intervention theatres in oncology. Eur J Nucl Med Mol Imaging 2024; 51:3055-3060. [PMID: 38012447 DOI: 10.1007/s00259-023-06545-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Affiliation(s)
- J Vonk
- Medical Imaging Center, Department of Nuclear Medicine & Molecular Imaging, University of Groningen, University Medical Center Groningen, PO Box 30.001, 9700 RB, Groningen, the Netherlands.
| | - S Kruijff
- Medical Imaging Center, Department of Nuclear Medicine & Molecular Imaging, University of Groningen, University Medical Center Groningen, PO Box 30.001, 9700 RB, Groningen, the Netherlands
- Department of Surgery, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - R H J A Slart
- Medical Imaging Center, Department of Nuclear Medicine & Molecular Imaging, University of Groningen, University Medical Center Groningen, PO Box 30.001, 9700 RB, Groningen, the Netherlands
- Biomedical Photonic Imaging Group, Faculty of Science and Technology, University of Twente, Enschede, The Netherlands
| | - W Szymanski
- Medical Imaging Center, Department of Nuclear Medicine & Molecular Imaging, University of Groningen, University Medical Center Groningen, PO Box 30.001, 9700 RB, Groningen, the Netherlands
- Department of Medicinal Chemistry, Photopharmacology and Imaging, Groningen Research Institute of Pharmacy, University of Groningen, Groningen, The Netherlands
| | - M J H Witjes
- Department of Oral and Maxillofacial Surgery, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - A W J M Glaudemans
- Medical Imaging Center, Department of Nuclear Medicine & Molecular Imaging, University of Groningen, University Medical Center Groningen, PO Box 30.001, 9700 RB, Groningen, the Netherlands
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Morales-Conde S, Navarro-Morales L, Moreno-Suero F, Balla A, Licardie E. Fluorescence and tracers in surgery: the coming future. Cir Esp 2024; 102 Suppl 1:S45-S60. [PMID: 38851317 DOI: 10.1016/j.cireng.2024.05.011] [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: 05/07/2024] [Accepted: 05/23/2024] [Indexed: 06/10/2024]
Abstract
The revolution that we are seeing in the world of surgery will determine the way we understand surgical approaches in coming years. Since the implementation of minimally invasive surgery, innovations have constantly been developed to allow the laparoscopic approach to go further and be applied to more and more procedures. In recent years, we have been in the middle of another revolutionary era, with robotic surgery, the application of artificial intelligence and image-guided surgery. The latter includes 3D reconstructions for surgical planning, virtual reality, holograms or tracer-guided surgery, where ICG-guided fluorescence has provided a different perspective on surgery. ICG has been used to identify anatomical structures, assess tissue perfusion, and identify tumors or tumor lymphatic drainage. But the most important thing is that this technology has come hand in hand with the potential to develop other types of tracers that will facilitate the identification of tumor cells and ureters, as well as different light beams to identify anatomical structures. These will lead to other types of systems to assess tissue perfusion without the use of tracers, such as hyperspectral imaging. Combined with the upcoming introduction of ICG quantification, these developments represent a real revolution in the surgical world. With the imminent implementation of these technological advances, a review of their clinical application in general surgery is timely, and this review serves that aim.
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Affiliation(s)
- Salvador Morales-Conde
- Servicio de Cirugía General y Digestiva, Hospital Universitario Virgen Macarena, Facultad de Medicina, Universidad de Sevilla, Sevilla, Spain; Servicio de Cirugía General y Digestiva, Hospital Quironsalud Sagrado Corazón, Sevilla, Spain.
| | - Laura Navarro-Morales
- Servicio de Cirugía General y Digestiva, Hospital Quironsalud Sagrado Corazón, Sevilla, Spain.
| | - Francisco Moreno-Suero
- Servicio de Cirugía General y Digestiva, Hospital Quironsalud Sagrado Corazón, Sevilla, Spain.
| | - Andrea Balla
- Servicio de Cirugía General y Digestiva, Hospital Universitario Virgen Macarena, Facultad de Medicina, Universidad de Sevilla, Sevilla, Spain; Servicio de Cirugía General y Digestiva, Hospital Quironsalud Sagrado Corazón, Sevilla, Spain.
| | - Eugenio Licardie
- Servicio de Cirugía General y Digestiva, Hospital Universitario Virgen Macarena, Facultad de Medicina, Universidad de Sevilla, Sevilla, Spain; Servicio de Cirugía General y Digestiva, Hospital Quironsalud Sagrado Corazón, Sevilla, Spain.
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White HW, Naveed AB, Campbell BR, Lee YJ, Baik FM, Topf M, Rosenthal EL, Hom ME. Infrared Fluorescence-guided Surgery for Tumor and Metastatic Lymph Node Detection in Head and Neck Cancer. Radiol Imaging Cancer 2024; 6:e230178. [PMID: 38940689 PMCID: PMC11287229 DOI: 10.1148/rycan.230178] [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: 10/09/2023] [Revised: 05/13/2024] [Accepted: 05/24/2024] [Indexed: 06/29/2024]
Abstract
In patients with head and neck cancer (HNC), surgical removal of cancerous tissue presents the best overall survival rate. However, failure to obtain negative margins during resection has remained a steady concern over the past 3 decades. The need for improved tumor removal and margin assessment presents an ongoing concern for the field. While near-infrared agents have long been used in imaging, investigation of these agents for use in HNC imaging has dramatically expanded in the past decade. Targeted tracers for use in primary and metastatic lymph node detection are of particular interest, with panitumumab-IRDye800 as a major candidate in current studies. This review aims to provide an overview of intraoperative near-infrared fluorescence-guided surgery techniques used in the clinical detection of malignant tissue and sentinel lymph nodes in HNC, highlighting current applications, limitations, and future directions for use of this technology within the field. Keywords: Molecular Imaging-Cancer, Fluorescence © RSNA, 2024.
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Affiliation(s)
- Haley W. White
- From the University of Michigan School of Medicine, Ann Arbor, Mich
(H.W.W.); Department of Otolaryngology-Head and Neck Surgery, Vanderbilt
University Medical Center, 2220 Pierce Ave, PRB 754, Nashville, TN 37232
(A.B.N., B.R.C., M.T., E.L.R., M.E.H.); and Department of Otolaryngology-Head
and Neck Surgery, Stanford University School of Medicine, Stanford, Calif
(Y.J.L., F.M.B.)
| | - Abdullah Bin Naveed
- From the University of Michigan School of Medicine, Ann Arbor, Mich
(H.W.W.); Department of Otolaryngology-Head and Neck Surgery, Vanderbilt
University Medical Center, 2220 Pierce Ave, PRB 754, Nashville, TN 37232
(A.B.N., B.R.C., M.T., E.L.R., M.E.H.); and Department of Otolaryngology-Head
and Neck Surgery, Stanford University School of Medicine, Stanford, Calif
(Y.J.L., F.M.B.)
| | - Benjamin R. Campbell
- From the University of Michigan School of Medicine, Ann Arbor, Mich
(H.W.W.); Department of Otolaryngology-Head and Neck Surgery, Vanderbilt
University Medical Center, 2220 Pierce Ave, PRB 754, Nashville, TN 37232
(A.B.N., B.R.C., M.T., E.L.R., M.E.H.); and Department of Otolaryngology-Head
and Neck Surgery, Stanford University School of Medicine, Stanford, Calif
(Y.J.L., F.M.B.)
| | - Yu-Jin Lee
- From the University of Michigan School of Medicine, Ann Arbor, Mich
(H.W.W.); Department of Otolaryngology-Head and Neck Surgery, Vanderbilt
University Medical Center, 2220 Pierce Ave, PRB 754, Nashville, TN 37232
(A.B.N., B.R.C., M.T., E.L.R., M.E.H.); and Department of Otolaryngology-Head
and Neck Surgery, Stanford University School of Medicine, Stanford, Calif
(Y.J.L., F.M.B.)
| | - Fred M. Baik
- From the University of Michigan School of Medicine, Ann Arbor, Mich
(H.W.W.); Department of Otolaryngology-Head and Neck Surgery, Vanderbilt
University Medical Center, 2220 Pierce Ave, PRB 754, Nashville, TN 37232
(A.B.N., B.R.C., M.T., E.L.R., M.E.H.); and Department of Otolaryngology-Head
and Neck Surgery, Stanford University School of Medicine, Stanford, Calif
(Y.J.L., F.M.B.)
| | - Michael Topf
- From the University of Michigan School of Medicine, Ann Arbor, Mich
(H.W.W.); Department of Otolaryngology-Head and Neck Surgery, Vanderbilt
University Medical Center, 2220 Pierce Ave, PRB 754, Nashville, TN 37232
(A.B.N., B.R.C., M.T., E.L.R., M.E.H.); and Department of Otolaryngology-Head
and Neck Surgery, Stanford University School of Medicine, Stanford, Calif
(Y.J.L., F.M.B.)
| | - Eben L. Rosenthal
- From the University of Michigan School of Medicine, Ann Arbor, Mich
(H.W.W.); Department of Otolaryngology-Head and Neck Surgery, Vanderbilt
University Medical Center, 2220 Pierce Ave, PRB 754, Nashville, TN 37232
(A.B.N., B.R.C., M.T., E.L.R., M.E.H.); and Department of Otolaryngology-Head
and Neck Surgery, Stanford University School of Medicine, Stanford, Calif
(Y.J.L., F.M.B.)
| | - Marisa E. Hom
- From the University of Michigan School of Medicine, Ann Arbor, Mich
(H.W.W.); Department of Otolaryngology-Head and Neck Surgery, Vanderbilt
University Medical Center, 2220 Pierce Ave, PRB 754, Nashville, TN 37232
(A.B.N., B.R.C., M.T., E.L.R., M.E.H.); and Department of Otolaryngology-Head
and Neck Surgery, Stanford University School of Medicine, Stanford, Calif
(Y.J.L., F.M.B.)
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7
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Tarle M, Lukšić I. Pathogenesis and Therapy of Oral Carcinogenesis. Int J Mol Sci 2024; 25:6343. [PMID: 38928050 PMCID: PMC11203620 DOI: 10.3390/ijms25126343] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2024] [Accepted: 06/05/2024] [Indexed: 06/28/2024] Open
Abstract
Oral squamous cell carcinoma (OSCC) is the most common malignant tumor of the head and neck with an extremely poor five-year survival rate of approximately 50 to 55%, despite significant advances in diagnostic and therapeutic procedures over the past three decades [...].
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Affiliation(s)
- Marko Tarle
- Department of Maxillofacial Surgery, Dubrava University Hospital, 10000 Zagreb, Croatia;
- School of Dental Medicine, University of Zagreb, Gundulićeva 5, 10000 Zagreb, Croatia
| | - Ivica Lukšić
- Department of Maxillofacial Surgery, Dubrava University Hospital, 10000 Zagreb, Croatia;
- School of Medicine, University of Zagreb, Šalata 3, 10000 Zagreb, Croatia
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Vallance AE. A systematic methodology review of fluorescence-guided cancer surgery to inform the development of a core master protocol and outcome set. BMC Cancer 2024; 24:697. [PMID: 38844894 PMCID: PMC11157717 DOI: 10.1186/s12885-024-12386-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Accepted: 05/14/2024] [Indexed: 06/09/2024] Open
Abstract
BACKGROUND Fluorescence-guided precision cancer surgery may improve survival and minimize patient morbidity. Efficient development of promising interventions is however hindered by a lack of common methodology. This methodology review aimed to synthesize descriptions of technique, governance processes, surgical learning and outcome reporting in studies of fluorescence-guided cancer surgery to provide guidance for the harmonized design of future studies. METHODS A systematic search of MEDLINE, EMBASE and CENTRAL databases from 2016-2020 identified studies of all designs describing the use of fluorescence in cancer surgery. Dual screening and data extraction was conducted by two independent teams. RESULTS Of 13,108 screened articles, 426 full text articles were included. The number of publications per year increased from 66 in 2016 to 115 in 2020. Indocyanine green was the most commonly used fluorescence agent (391, 91.8%). The most common reported purpose of fluorescence guided surgery was for lymph node mapping (195, 5%) and non-specific tumour visualization (94, 2%). Reporting about surgical learning and governance processes incomplete. A total of 2,577 verbatim outcomes were identified, with the commonly reported outcome lymph node detection (796, 30%). Measures of recurrence (32, 1.2%), change in operative plan (23, 0.9%), health economics (2, 0.1%), learning curve (2, 0.1%) and quality of life (2, 0.1%) were rarely reported. CONCLUSION There was evidence of methodological heterogeneity that may hinder efficient evaluation of fluorescence surgery. Harmonization of the design of future studies may streamline innovation.
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Affiliation(s)
- Abigail E Vallance
- Centre for Surgical Research, Population Health Sciences, University of Bristol, 39 Whatley Road, Clifton, Bristol, BS8 2PS, UK.
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Li L, He K, Zhou T, Xu Y, Pang J, Yu Q, Gao Y, Shi H, Zhu H, Li M, Yu J, Yuan S. Recurrence/prognosis estimation using a molecularly positive surgical margin-based model calls for alternative curative strategies in pIIIA/N2 NSCLC. Mol Oncol 2024; 18:1649-1664. [PMID: 38327028 PMCID: PMC11161728 DOI: 10.1002/1878-0261.13600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 12/19/2023] [Accepted: 01/24/2024] [Indexed: 02/09/2024] Open
Abstract
Stage pIIIA/N2 non-small cell lung cancer (NSCLC) is primarily treated by complete surgical resection combined with neoadjuvant/adjuvant therapies. However, up to 40% of patients experience tumor recurrence. Here, we studied 119 stage pIIIA/N2 NSCLC patients who received complete surgery plus adjuvant chemotherapy (CT) or chemoradiotherapy (CRT). The paired tumor and resection margin samples were analyzed using next-generation sequencing (NGS). Although all patients were classified as negative resection margins by histologic methods, NGS revealed that 47.1% of them had molecularly positive surgical margins. Patients who tested positive for NGS-detected residual tumors had significantly shorter disease-free survival (DFS) (P = 0.002). Additionally, metastatic lymph node ratio, erb-b2 receptor tyrosine kinase 2 (ERBB2) mutations, and SWI/SNF-related, matrix-associated, actin-dependent regulator of chromatin, subfamily a, member 4 (SMARCA4) mutations were also independently associated with DFS. We used these four features to construct a COX model that could effectively estimate recurrence risk and prognosis. Notably, mutational profiling through broad-panel NGS could more sensitively detect residual tumors than the conventional histologic methods. Adjuvant CT and adjuvant CRT exhibited no significant difference in eliminating locoregional recurrence risk for stage pIIIA/N2 NSCLC patients with molecularly positive surgical margins.
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Affiliation(s)
- Li Li
- Department of Radiation Oncology, Shandong Cancer Hospital and InstituteShandong First Medical University and Shandong Academy of Medical SciencesJinanChina
| | - Kewen He
- Department of Radiation Oncology, Shandong Cancer Hospital and InstituteShandong First Medical University and Shandong Academy of Medical SciencesJinanChina
| | - Tao Zhou
- Department of Radiation Oncology, Shandong Cancer Hospital and InstituteShandong First Medical University and Shandong Academy of Medical SciencesJinanChina
| | - Yang Xu
- Geneseeq Research InstituteNanjing Geneseeq Technology Inc.China
| | - Jiaohui Pang
- Geneseeq Research InstituteNanjing Geneseeq Technology Inc.China
| | - Qingxi Yu
- Department of Radiation Oncology, Shandong Cancer Hospital and InstituteShandong First Medical University and Shandong Academy of Medical SciencesJinanChina
| | - Yongsheng Gao
- Department of Pathology, Shandong Cancer Hospital and InstituteShandong First Medical University and Shandong Academy of Medical SciencesJinanChina
| | - Hongjin Shi
- Department of Radiation Oncology, Shandong Cancer Hospital and InstituteShandong First Medical University and Shandong Academy of Medical SciencesJinanChina
| | - He Zhu
- Department of Radiation Oncology, Shandong Cancer Hospital and InstituteShandong First Medical University and Shandong Academy of Medical SciencesJinanChina
| | - Mengke Li
- Department of Pathology, Shandong Cancer Hospital and InstituteShandong First Medical University and Shandong Academy of Medical SciencesJinanChina
| | - Jinming Yu
- Department of Radiation Oncology, Shandong Cancer Hospital and InstituteShandong First Medical University and Shandong Academy of Medical SciencesJinanChina
- Department of Radiation Oncology and Shandong Provincial Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and InstituteShandong First Medical University and Shandong Academy of Medical SciencesJinanChina
- Research Unit of Radiation OncologyChinese Academy of Medical SciencesJinanChina
| | - Shuanghu Yuan
- Department of Radiation Oncology, Shandong Cancer Hospital and InstituteShandong First Medical University and Shandong Academy of Medical SciencesJinanChina
- Department of Radiation Oncology, The First Affiliated Hospital of USTC, Division of Life Sciences and MedicineUniversity of Science and Technology of ChinaHefeiChina
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10
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Kapustin D, Su V, Yun J, Rubin SJ, Chung D, Modica I, Khan MN, Chai RL, Karasick M, Doyle S, Brandwein-Weber M, Urken ML. iPad Annotation of 3D Surgical Models Using Procreate®: Novel Documentation of Supplemental Margins. Laryngoscope 2024; 134:2783-2786. [PMID: 37921378 DOI: 10.1002/lary.31144] [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: 06/28/2023] [Revised: 09/17/2023] [Accepted: 10/04/2023] [Indexed: 11/04/2023]
Abstract
We present a novel, efficient approach to demonstrating supplemental margins during oncologic resection. Surgeons and pathologists annotated 10 virtual models of surgical defects and resection specimens in 3D using an iPad-based application, Procreate®. Incorporating this method into the surgical workflow can improve interdepartmental communication and provide visual documentation of surgical steps taken to address at-risk margins. Laryngoscope, 134:2783-2786, 2024.
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Affiliation(s)
- Danielle Kapustin
- THANC (Thyroid, Head & Neck Cancer) Foundation, New York, New York, USA
- Dept. of Otolaryngology-Head and Neck Surgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Vivian Su
- THANC (Thyroid, Head & Neck Cancer) Foundation, New York, New York, USA
- Dept. of Otolaryngology-Head and Neck Surgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Jun Yun
- THANC (Thyroid, Head & Neck Cancer) Foundation, New York, New York, USA
- Dept. of Otolaryngology-Head and Neck Surgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Samuel J Rubin
- THANC (Thyroid, Head & Neck Cancer) Foundation, New York, New York, USA
- Dept. of Otolaryngology-Head and Neck Surgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Daniel Chung
- Dept. of Pathology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Ippolito Modica
- Dept. of Pathology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Mohemmed Nazir Khan
- Dept. of Otolaryngology-Head and Neck Surgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Raymond L Chai
- Dept. of Otolaryngology-Head and Neck Surgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Michael Karasick
- THANC (Thyroid, Head & Neck Cancer) Foundation, New York, New York, USA
| | - Scott Doyle
- Dept. of Pathology and Anatomical Sciences, University at Buffalo Jacobs School of Medicine and Biomedical Sciences, Buffalo, New York, USA
| | | | - Mark L Urken
- THANC (Thyroid, Head & Neck Cancer) Foundation, New York, New York, USA
- Dept. of Otolaryngology-Head and Neck Surgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA
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11
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Chapeau D, Beekman S, Handula M, Murce E, de Ridder C, Stuurman D, Seimbille Y. eTFC-01: a dual-labeled chelate-bridged tracer for SSTR2-positive tumors. EJNMMI Radiopharm Chem 2024; 9:44. [PMID: 38775990 PMCID: PMC11111636 DOI: 10.1186/s41181-024-00272-0] [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: 04/08/2024] [Accepted: 05/15/2024] [Indexed: 05/25/2024] Open
Abstract
BACKGROUND Integrating radioactive and optical imaging techniques can facilitate the prognosis and surgical guidance for cancer patients. Using a single dual-labeled tracer ensures consistency in both imaging modalities. However, developing such molecule is challenging due to the need to preserve the biochemical properties of the tracer while introducing bulky labeling moieties. In our study, we designed a trifunctional chelate that facilitates the coupling of the targeting vector and fluorescent dye at opposite sites to avoid undesired steric hindrance effects. The synthesis of the trifunctional chelate N3-Py-DOTAGA-(tBu)3 (7) involved a five-step synthetic route, followed by conjugation to the linear peptidyl-resin 8 through solid-phase synthesis. After deprotection and cyclization, the near-infrared fluorescent dye sulfo-Cy.5 was introduced using copper free click chemistry, resulting in eTFC-01. Subsequently, eTFC-01 was labeled with [111In]InCl3. In vitro assessments of eTFC-01 binding, uptake, and internalization were conducted in SSTR2-transfected U2OS cells. Ex-vivo biodistribution and fluorescence imaging were performed in H69-tumor bearing mice. RESULTS eTFC-01 demonstrated a two-fold higher IC50 value for SSTR2 compared to the gold standard DOTA-TATE. Labeling of eTFC-01 with [111In]InCl3 gave a high radiochemical yield and purity. The uptake of [111In]In-eTFC-01 in U2OS.SSTR2 cells was two-fold lower than the uptake of [111In]In-DOTA-TATE, consistent with the binding affinity. Tumor uptake in H69-xenografted mice was lower for [111In]In-eTFC-01 at all-time points compared to [111In]In-DOTA-TATE. Prolonged blood circulation led to increased accumulation of [111In]In-eTFC-01 in highly vascularized tissues, such as lungs, skin, and heart. Fluorescence measurements in different organs correlated with the radioactive signal distribution. CONCLUSION The successful synthesis and coupling of the trifunctional chelate to the peptide and fluorescent dye support the potential of this synthetic approach to generate dual labeled tracers. While promising in vitro, the in vivo results obtained with [111In]In-eTFC-01 suggest the need for adjustments to enhance tracer distribution.
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Affiliation(s)
- Dylan Chapeau
- Erasmus MC, Department of Radiology and Nuclear Medicine, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Savanne Beekman
- Erasmus MC, Department of Radiology and Nuclear Medicine, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Maryana Handula
- Erasmus MC, Department of Radiology and Nuclear Medicine, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Erika Murce
- Erasmus MC, Department of Radiology and Nuclear Medicine, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Corrina de Ridder
- Erasmus MC, Department of Radiology and Nuclear Medicine, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Debra Stuurman
- Erasmus MC, Department of Radiology and Nuclear Medicine, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Yann Seimbille
- Erasmus MC, Department of Radiology and Nuclear Medicine, University Medical Center Rotterdam, Rotterdam, The Netherlands.
- Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
- TRIUMF, Life Sciences Division, Vancouver, Canada.
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12
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Shia WC, Kuo YH, Hsu FR, Lin J, Wu WP, Wu HK, Yeh WC, Chen DR. Evaluating the Margins of Breast Cancer Tumors by Using Digital Breast Tomosynthesis with Deep Learning: A Preliminary Assessment. Diagnostics (Basel) 2024; 14:1032. [PMID: 38786329 PMCID: PMC11119441 DOI: 10.3390/diagnostics14101032] [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: 04/04/2024] [Revised: 05/03/2024] [Accepted: 05/14/2024] [Indexed: 05/25/2024] Open
Abstract
BACKGROUND The assessment information of tumor margins is extremely important for the success of the breast cancer surgery and whether the patient undergoes a second operation. However, conducting surgical margin assessments is a time-consuming task that requires pathology-related skills and equipment, and often cannot be provided in a timely manner. To address this challenge, digital breast tomosynthesis technology was utilized to generate detailed cross-sectional images of the breast tissue and integrate deep learning algorithms for image segmentation, achieving an assessment of tumor margins during surgery. METHODS this study utilized post-operative tissue samples from 46 patients who underwent breast-conserving treatment, and generated image sets using digital breast tomosynthesis for the training and evaluation of deep learning models. RESULTS Deep learning algorithms effectively identifying the tumor area. They achieved a Mean Intersection over Union (MIoU) of 0.91, global accuracy of 99%, weighted IoU of 44%, precision of 98%, recall of 83%, F1 score of 89%, and dice coefficient of 93% on the training dataset; for the testing dataset, MIoU was at 83%, global accuracy at 97%, weighted IoU at 38%, precision at 87%, recall rate at 69%, F1 score at 76%, dice coefficient at 86%. CONCLUSIONS The initial evaluation suggests that the deep learning-based image segmentation method is highly accurate in measuring breast tumor margins. This helps provide information related to tumor margins during surgery, and by using different datasets, this research method can also be applied to the surgical margin assessment of various types of tumors.
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Affiliation(s)
- Wei-Chung Shia
- Molecular Medicine Laboratory, Department of Research, Changhua Christian Hospital, Changhua 500, Taiwan
- School of Big Data and Artificial Intelligence, Fujian Polytechnic Normal University, Fuqing 350300, China
| | - Yu-Hsun Kuo
- Department of Information Engineering and Computer Science, Feng Chia University, Taichung 407, Taiwan (F.-R.H.)
| | - Fang-Rong Hsu
- Department of Information Engineering and Computer Science, Feng Chia University, Taichung 407, Taiwan (F.-R.H.)
| | - Joseph Lin
- Cancer Research Center, Department of Research, Changhua Christian Hospital, Changhua 500, Taiwan
- Department of Animal Science and Biotechnology, Tunghai University, Taichung 407, Taiwan
- Comprehensive Breast Cancer Center, Changhua Christian Hospital, Changhua 500, Taiwan
| | - Wen-Pei Wu
- Department of Medical Image, Changhua Christian Hospital, Changhua 500, Taiwan
| | - Hwa-Koon Wu
- Department of Medical Image, Changhua Christian Hospital, Changhua 500, Taiwan
| | - Wei-Cheng Yeh
- Department of Medical Imaging, Chang Bing Show Chwan Memorial Hospital, Changhua 505, Taiwan
| | - Dar-Ren Chen
- Cancer Research Center, Department of Research, Changhua Christian Hospital, Changhua 500, Taiwan
- Comprehensive Breast Cancer Center, Changhua Christian Hospital, Changhua 500, Taiwan
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13
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Pillar N, Li Y, Zhang Y, Ozcan A. Virtual Staining of Nonfixed Tissue Histology. Mod Pathol 2024; 37:100444. [PMID: 38325706 DOI: 10.1016/j.modpat.2024.100444] [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: 11/02/2023] [Revised: 01/19/2024] [Accepted: 01/29/2024] [Indexed: 02/09/2024]
Abstract
Surgical pathology workflow involves multiple labor-intensive steps, such as tissue removal, fixation, embedding, sectioning, staining, and microscopic examination. This process is time-consuming and costly and requires skilled technicians. In certain clinical scenarios, such as intraoperative consultations, there is a need for faster histologic evaluation to provide real-time surgical guidance. Currently, frozen section techniques involving hematoxylin and eosin (H&E) staining are used for intraoperative pathology consultations. However, these techniques have limitations, including a turnaround time of 20 to 30 minutes, staining artifacts, and potential tissue loss, negatively impacting accurate diagnosis. To address these challenges, researchers are exploring alternative optical imaging modalities for rapid microscopic tissue imaging. These modalities differ in optical characteristics, tissue preparation requirements, imaging equipment, and output image quality and format. Some of these imaging methods have been combined with computational algorithms to generate H&E-like images, which could greatly facilitate their adoption by pathologists. Here, we provide a comprehensive, organ-specific review of the latest advancements in emerging imaging modalities applied to nonfixed human tissue. We focused on studies that generated H&E-like images evaluated by pathologists. By presenting up-to-date research progress and clinical utility, this review serves as a valuable resource for scholars and clinicians, covering some of the major technical developments in this rapidly evolving field. It also offers insights into the potential benefits and drawbacks of alternative imaging modalities and their implications for improving patient care.
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Affiliation(s)
- Nir Pillar
- Electrical and Computer Engineering Department, University of California, Los Angeles, California; Bioengineering Department, University of California, Los Angeles, California; California NanoSystems Institute (CNSI), University of California, Los Angeles, California
| | - Yuzhu Li
- Electrical and Computer Engineering Department, University of California, Los Angeles, California; Bioengineering Department, University of California, Los Angeles, California; California NanoSystems Institute (CNSI), University of California, Los Angeles, California
| | - Yijie Zhang
- Electrical and Computer Engineering Department, University of California, Los Angeles, California; Bioengineering Department, University of California, Los Angeles, California; California NanoSystems Institute (CNSI), University of California, Los Angeles, California
| | - Aydogan Ozcan
- Electrical and Computer Engineering Department, University of California, Los Angeles, California; Bioengineering Department, University of California, Los Angeles, California; California NanoSystems Institute (CNSI), University of California, Los Angeles, California.
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14
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Fujita K, Urano Y. Activity-Based Fluorescence Diagnostics for Cancer. Chem Rev 2024; 124:4021-4078. [PMID: 38518254 DOI: 10.1021/acs.chemrev.3c00612] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/24/2024]
Abstract
Fluorescence imaging is one of the most promising approaches to achieve intraoperative assessment of the tumor/normal tissue margins during cancer surgery. This is critical to improve the patients' prognosis, and therefore various molecular fluorescence imaging probes have been developed for the identification of cancer lesions during surgery. Among them, "activatable" fluorescence probes that react with cancer-specific biomarker enzymes to generate fluorescence signals have great potential for high-contrast cancer imaging due to their low background fluorescence and high signal amplification by enzymatic turnover. Over the past two decades, activatable fluorescence probes employing various fluorescence control mechanisms have been developed worldwide for this purpose. Furthermore, new biomarker enzymatic activities for specific types of cancers have been identified, enabling visualization of various types of cancers with high sensitivity and specificity. This Review focuses on recent advances in the design, function and characteristics of activatable fluorescence probes that target cancer-specific enzymatic activities for cancer imaging and also discusses future prospects in the field of activity-based diagnostics for cancer.
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15
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Spence RN, Au VH, Zhao Y, Feng AL, Juliano AF, Goss D, Varvares MA. Intraoperative Ultrasound for the Management of Oral Tongue Cancer: a Systematic Review and Meta-Analysis. OTO Open 2024; 8:e147. [PMID: 38846015 PMCID: PMC11154832 DOI: 10.1002/oto2.147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Revised: 04/17/2024] [Accepted: 05/09/2024] [Indexed: 06/09/2024] Open
Abstract
Objective To evaluate for correlation between intraoperative ultrasound (IOUS)-measured tumor thickness (TT) (uTT) and histopathological TT (hTT), and to compare IOUS-assisted resection with conventional resection in patients with oral tongue cancers. Data Sources Ovid MEDLINE (1946-2023), Embase.com (1947-2023), and Web of Science (All Databases 1900-2023). Review Methods Inclusion criteria were the use of IOUS for the management of oral tongue cancer. Studies that did not report quantitative data were excluded. Additionally, studies that were not contributory to meta-analysis, or a narrative analysis of pooled results were excluded. Selection was carried out by 2 reviewers. A total of 2417 studies were initially identified, with 12 ultimately being included in this review, and 7 included in the meta-analysis. Data were extracted by 2 investigators and were pooled using a random-effects model. Results Our meta-analysis reveals a pooled correlation coefficient of 0.92 (95% confidence interval: 0.80-0.96) for studies comparing uTT to hTT. Studies comparing IOUS-assisted resection to conventional resection found IOUS-assisted resection yielded wider nearest margins in all studies reporting this outcome. Conclusion IOUS reliably measures TT, similarly to that of histopathology measurement. IOUS-assisted resection, which allows the surgeon to view the deep extent of tumor invasion, may increase closest radial margin distance compared to conventional resection. IOUS-assisted resection may represent a more reliable approach to achieving clear margins than conventional resection.
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Affiliation(s)
- Ryland N. Spence
- The Warren Alpert Medical School of Brown UniversityProvidenceRhode IslandUSA
| | - Vivienne H. Au
- Department of Otolaryngology–Head and Neck SurgeryNew York‐Presbyterian Hospital, Columbia University and Weill Cornell Schools of MedicineNew YorkNew YorkUSA
| | - Yan Zhao
- Department of Otolaryngology–Head and Neck SurgeryMassachusetts Eye and EarBostonMassachusettsUSA
| | - Allen L. Feng
- Department of Otolaryngology–Head and Neck SurgeryMassachusetts Eye and EarBostonMassachusettsUSA
| | - Amy F. Juliano
- Department of RadiologyMassachusetts Eye and Ear, Harvard Medical SchoolBostonMassachusettsUSA
| | - Deborah Goss
- Library Services, Massachusetts Eye and EarBostonMassachusettsUSA
| | - Mark A. Varvares
- Department of Otolaryngology–Head and Neck SurgeryMassachusetts Eye and EarBostonMassachusettsUSA
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16
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Tong G, Xu J, Pfister M, Atoum J, Prasad K, Miller A, Topf M, Wu JY. Development of an augmented reality guidance system for head and neck cancer resection. Healthc Technol Lett 2024; 11:93-100. [PMID: 38638497 PMCID: PMC11022213 DOI: 10.1049/htl2.12062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Accepted: 11/22/2023] [Indexed: 04/20/2024] Open
Abstract
The use of head-mounted augmented reality (AR) for surgeries has grown rapidly in recent years. AR aids in intraoperative surgical navigation through overlaying three-dimensional (3D) holographic reconstructions of medical data. However, performing AR surgeries on complex areas such as the head and neck region poses challenges in terms of accuracy and speed. This study explores the feasibility of an AR guidance system for resections of positive tumour margins in a cadaveric specimen. The authors present an intraoperative solution that enables surgeons to upload and visualize holographic reconstructions of resected cadaver tissues. The solution involves using a 3D scanner to capture detailed scans of the resected tissue, which are subsequently uploaded into our software. The software converts the scans of resected tissues into specimen holograms that are viewable through a head-mounted AR display. By re-aligning these holograms with cadavers with gestures or voice commands, surgeons can navigate the head and neck tumour site. This workflow can run concurrently with frozen section analysis. On average, the authors achieve an uploading time of 2.98 min, visualization time of 1.05 min, and re-alignment time of 4.39 min, compared to the 20 to 30 min typical for frozen section analysis. The authors achieve a mean re-alignment error of 3.1 mm. The authors' software provides a foundation for new research and product development for using AR to navigate complex 3D anatomy in surgery.
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Affiliation(s)
- Guansen Tong
- Computer Science DepartmentVanderbilt UniversityNashvilleTennesseeUSA
| | - Jiayi Xu
- Computer Science DepartmentVanderbilt UniversityNashvilleTennesseeUSA
| | - Michael Pfister
- Computer Science DepartmentVanderbilt UniversityNashvilleTennesseeUSA
| | - Jumanh Atoum
- Computer Science DepartmentVanderbilt UniversityNashvilleTennesseeUSA
| | - Kavita Prasad
- Vanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Alexis Miller
- Vanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Michael Topf
- Vanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Jie Ying Wu
- Computer Science DepartmentVanderbilt UniversityNashvilleTennesseeUSA
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17
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Roschelle M, Rabbani R, Papageorgiou E, Zhang H, Cooperberg M, Stohr BA, Niknejad A, Anwar M. Multicolor fluorescence microscopy for surgical guidance using a chip-scale imager with a low-NA fiber optic plate and a multi-bandpass interference filter. BIOMEDICAL OPTICS EXPRESS 2024; 15:1761-1776. [PMID: 38495694 PMCID: PMC10942699 DOI: 10.1364/boe.509235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 01/27/2024] [Accepted: 02/01/2024] [Indexed: 03/19/2024]
Abstract
In curative-intent cancer surgery, intraoperative fluorescence imaging of both diseased and healthy tissue can help to ensure the successful removal of all gross and microscopic diseases with minimal damage to neighboring critical structures, such as nerves. Current fluorescence-guided surgery (FGS) systems, however, rely on bulky and rigid optics that incur performance-limiting trade-offs between sensitivity and maneuverability. Moreover, many FGS systems are incapable of multiplexed imaging. As a result, clinical FGS is currently limited to millimeter-scale detection of a single fluorescent target. Here, we present a scalable, lens-less fluorescence imaging chip, VISION, capable of sensitive and multiplexed detection within a compact form factor. Central to VISION is a novel optical frontend design combining a low-numerical-aperture fiber optic plate (LNA-FOP) and a multi-bandpass interference filter, which is affixed to a custom CMOS image sensor. The LNA-FOP acts as a planar collimator to improve resolution and compensate for the angle-sensitivity of the interference filter, enabling high-resolution and multiplexed fluorescence imaging without lenses. We show VISION is capable of detecting tumor foci of less than 100 cells at near video framerates and, as proof of principle, can simultaneously visualize both tumors and nerves in ex vivo prostate tissue.
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Affiliation(s)
- Micah Roschelle
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, California 94720, USA
| | - Rozhan Rabbani
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, California 94720, USA
| | - Efthymios Papageorgiou
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, California 94720, USA
| | - Hui Zhang
- Department of Radiation Oncology, University of California, San Francisco, California 94158, USA
| | - Matthew Cooperberg
- Department of Urology, University of California, San Francisco, California 94158, USA
| | - Bradley A Stohr
- Department of Pathology, University of California, San Francisco, California 94158, USA
| | - Ali Niknejad
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, California 94720, USA
| | - Mekhail Anwar
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, California 94720, USA
- Department of Radiation Oncology, University of California, San Francisco, California 94158, USA
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18
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Lee SJ, Kim M, Kwak YK, Kang HJ. The impact of boost radiation therapy after hysterectomy on cervical cancer patients with close or positive resection margins. Clin Transl Oncol 2024; 26:689-697. [PMID: 37537511 DOI: 10.1007/s12094-023-03283-6] [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: 02/25/2023] [Accepted: 07/11/2023] [Indexed: 08/05/2023]
Abstract
PURPOSE We investigated the effect of boost radiation therapy (RT) in addition to whole pelvis RT (WPRT) on treatment outcome and safety of cervical cancer patients following hysterectomy with close/positive resection margins (RM). METHODS We retrospectively analyzed 51 patients with cervical cancer who received WPRT with or without boost-RT as adjuvant treatment between July 2006 and June 2022. Twenty patients (39.2%) were treated with WPRT-alone, and 31 (60.8%) received boost-RT after WPRT using brachytherapy or intensity-modulated RT. RESULTS The median follow-up period was 41 months. According to RT modality, the 4-year local control (LC) and locoregional control (LRC) rates of patients treated with WPRT-alone were 61% and 61%, respectively, whereas those in LC and LRC rates in patients who underwent WPRT with boost-RT were 93.2% and 75.3%, with p-values equal to 0.005 and 0.090, respectively. Seven patients (35.0%) had local recurrence in the WPRT-treated group compared to only two out of the 31 patients (6.5%) in the WPRT with boost-RT-treated counterparts (p = 0.025). Boost-RT was a significantly good prognostic factor for LC (p = 0.013) and LRC (p = 0.013). Boost-RT did not result in statistically-significant improvements in progression-free survival or overall survival. The acute and late toxicity rates were not significantly different between groups. CONCLUSION Boost RT following WPRT is a safe and effective treatment strategy to improve LC without increasing toxicity in patients with cervical cancer with close/positive RM after hysterectomy.
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Affiliation(s)
- So Jung Lee
- Department of Radiation Oncology, College of Medicine, Incheon St. Mary's Hospital, The Catholic University of Korea, 56, Dongsuro, Bupyung-gu, Incheon, 21431, Republic of Korea
| | - Myungsoo Kim
- Department of Radiation Oncology, College of Medicine, Incheon St. Mary's Hospital, The Catholic University of Korea, 56, Dongsuro, Bupyung-gu, Incheon, 21431, Republic of Korea
| | - Yoo-Kang Kwak
- Department of Radiation Oncology, College of Medicine, Incheon St. Mary's Hospital, The Catholic University of Korea, 56, Dongsuro, Bupyung-gu, Incheon, 21431, Republic of Korea
| | - Hye Jin Kang
- Department of Radiation Oncology, College of Medicine, Incheon St. Mary's Hospital, The Catholic University of Korea, 56, Dongsuro, Bupyung-gu, Incheon, 21431, Republic of Korea.
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Marka AW, Luitjens J, Gassert FT, Steinhelfer L, Burian E, Rübenthaler J, Schwarze V, Froelich MF, Makowski MR, Gassert FG. Artificial intelligence support in MR imaging of incidental renal masses: an early health technology assessment. Eur Radiol 2024:10.1007/s00330-024-10643-5. [PMID: 38388721 DOI: 10.1007/s00330-024-10643-5] [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: 09/24/2023] [Revised: 01/16/2024] [Accepted: 01/19/2024] [Indexed: 02/24/2024]
Abstract
OBJECTIVE This study analyzes the potential cost-effectiveness of integrating an artificial intelligence (AI)-assisted system into the differentiation of incidental renal lesions as benign or malignant on MR images during follow-up. MATERIALS AND METHODS For estimation of quality-adjusted life years (QALYs) and lifetime costs, a decision model was created, including the MRI strategy and MRI + AI strategy. Model input parameters were derived from recent literature. Willingness to pay (WTP) was set to $100,000/QALY. Costs of $0 for the AI were assumed in the base-case scenario. Model uncertainty and costs of the AI system were assessed using deterministic and probabilistic sensitivity analysis. RESULTS Average total costs were at $8054 for the MRI strategy and $7939 for additional use of an AI-based algorithm. The model yielded a cumulative effectiveness of 8.76 QALYs for the MRI strategy and of 8.77 for the MRI + AI strategy. The economically dominant strategy was MRI + AI. Deterministic and probabilistic sensitivity analysis showed high robustness of the model with the incremental cost-effectiveness ratio (ICER), which represents the incremental cost associated with one additional QALY gained, remaining below the WTP for variation of the input parameters. If increasing costs for the algorithm, the ICER of $0/QALY was exceeded at $115, and the defined WTP was exceeded at $667 for the use of the AI. CONCLUSIONS This analysis, rooted in assumptions, suggests that the additional use of an AI-based algorithm may be a potentially cost-effective alternative in the differentiation of incidental renal lesions using MRI and needs to be confirmed in the future. CLINICAL RELEVANCE STATEMENT These results hint at AI's the potential impact on diagnosing renal masses. While the current study urges careful interpretation, ongoing research is essential to confirm and seamlessly integrate AI into clinical practice, ensuring its efficacy in routine diagnostics. KEY POINTS • This is a model-based study using data from literature where AI has been applied in the diagnostic workup of incidental renal lesions. • MRI + AI has the potential to be a cost-effective alternative in the differentiation of incidental renal lesions. • The additional use of AI can reduce costs in the diagnostic workup of incidental renal lesions.
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Affiliation(s)
- Alexander W Marka
- Department of Diagnostic and Interventional Radiology, Klinikum Rechts Der Isar, School of Medicine, Technical University of Munich, Institut für diagnostische und interventionelle Radiologie, Ismaninger Str. 22, 81675, Munich, Germany.
| | - Johanna Luitjens
- Department of Radiology, Klinikum Großhadern, Ludwig-Maximilians-Universität, Marchioninistraße 15, 81377, Munich, Germany
| | - Florian T Gassert
- Department of Diagnostic and Interventional Radiology, Klinikum Rechts Der Isar, School of Medicine, Technical University of Munich, Institut für diagnostische und interventionelle Radiologie, Ismaninger Str. 22, 81675, Munich, Germany
| | - Lisa Steinhelfer
- Department of Diagnostic and Interventional Radiology, Klinikum Rechts Der Isar, School of Medicine, Technical University of Munich, Institut für diagnostische und interventionelle Radiologie, Ismaninger Str. 22, 81675, Munich, Germany
| | - Egon Burian
- Department of Diagnostic and Interventional Radiology, Klinikum Rechts Der Isar, School of Medicine, Technical University of Munich, Institut für diagnostische und interventionelle Radiologie, Ismaninger Str. 22, 81675, Munich, Germany
| | - Johannes Rübenthaler
- Department of Radiology, Klinikum Großhadern, Ludwig-Maximilians-Universität, Marchioninistraße 15, 81377, Munich, Germany
| | - Vincent Schwarze
- Department of Radiology, Klinikum Großhadern, Ludwig-Maximilians-Universität, Marchioninistraße 15, 81377, Munich, Germany
| | - Matthias F Froelich
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Marcus R Makowski
- Department of Diagnostic and Interventional Radiology, Klinikum Rechts Der Isar, School of Medicine, Technical University of Munich, Institut für diagnostische und interventionelle Radiologie, Ismaninger Str. 22, 81675, Munich, Germany
| | - Felix G Gassert
- Department of Diagnostic and Interventional Radiology, Klinikum Rechts Der Isar, School of Medicine, Technical University of Munich, Institut für diagnostische und interventionelle Radiologie, Ismaninger Str. 22, 81675, Munich, Germany
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Maudsley J, Clifford RE, Aziz O, Sutton PA. A systematic review of oncosurgical and quality of life outcomes following pelvic exenteration for locally advanced and recurrent rectal cancer. Ann R Coll Surg Engl 2024. [PMID: 38362800 DOI: 10.1308/rcsann.2023.0031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2024] Open
Abstract
INTRODUCTION Pelvic exenteration (PE) is now the standard of care for locally advanced (LARC) and locally recurrent (LRRC) rectal cancer. Reports of the significant short-term morbidity and survival advantage conferred by R0 resection are well established. However, longer-term outcomes are rarely addressed. This systematic review focuses on long-term oncosurgical and quality of life (QoL) outcomes following PE for rectal cancer. METHODS A systematic review of the PubMed®, Cochrane Library, MEDLINE® and Embase® databases was conducted, in accordance with the PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) guidelines. Studies were included if they reported long-term outcomes following PE for LARC or LRRC. Studies with fewer than 20 patients were excluded. FINDINGS A total of 25 papers reported outcomes for 5,489 patients. Of these, 4,744 underwent PE for LARC (57.5%) or LRRC (42.5%). R0 resection rates ranged from 23.2% to 98.4% and from 14.9% to 77.8% respectively. The overall morbidity rates were 17.8-87.0%. The median survival ranged from 12.5 to 140.0 months. None of these studies reported functional outcomes and only four studies reported QoL outcomes. Numerous different metrics and timepoints were utilised, with QoL scores frequently returning to baseline by 12 months. CONCLUSIONS This review demonstrates that PE is safe, with a good prospect of R0 resection and acceptable mortality rates in selected patients. Morbidity rates remain high, highlighting the importance of shared decision making with patients. Longer-term oncological outcomes as well as QoL and functional outcomes need to be addressed in future studies. Development of a core outcomes set would facilitate better reporting in this complex and challenging patient group.
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Affiliation(s)
- J Maudsley
- Colorectal and Peritoneal Oncology Centre, Christie NHS Foundation Trust, UK
- Division of Cancer Sciences, University of Manchester, UK
| | - R E Clifford
- Institute of Translational Medicine, University of Liverpool, UK
| | - O Aziz
- Colorectal and Peritoneal Oncology Centre, Christie NHS Foundation Trust, UK
- Division of Cancer Sciences, University of Manchester, UK
| | - P A Sutton
- Colorectal and Peritoneal Oncology Centre, Christie NHS Foundation Trust, UK
- Division of Cancer Sciences, University of Manchester, UK
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21
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Roschelle M, Rabbani R, Papageorgiou E, Zhang H, Cooperberg M, Stohr BA, Niknejad A, Anwar M. Multicolor fluorescence microscopy for surgical guidance using a chip-scale imager with a low-NA fiber optic plate and a multi-bandpass interference filter. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.10.16.562247. [PMID: 37904924 PMCID: PMC10614810 DOI: 10.1101/2023.10.16.562247] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/01/2023]
Abstract
In curative-intent cancer surgery, intraoperative fluorescence imaging of both diseased and healthy tissue can help to ensure successful removal of all gross and microscopic disease with minimal damage to neighboring critical structures, such as nerves. Current fluorescence-guided surgery (FGS) systems, however, rely on bulky and rigid optics that incur performance-limiting trade-offs between sensitivity and maneuverability. Moreover, many FGS systems are incapable of multiplexed imaging. As a result, clinical FGS is currently limited to millimeter-scale detection of a single fluorescent target. Here we present a scalable, lens-less fluorescence imaging chip, VISION, capable of sensitive and multiplexed detection within a compact form factor. Central to VISION is a novel optical frontend design combining a low-numerical-aperture fiber optic plate (LNA-FOP) and a multi-bandpass interference filter, which is affixed to a custom CMOS image sensor. The LNA-FOP acts as a planar collimator to improve resolution and compensate for the angle-sensitivity of the interference filter, enabling high-resolution and multiplexed fluorescence imaging without lenses. We show VISION is capable of detecting tumor foci of less than 100 cells at near video framerates and, as proof of principle, can simultaneously visualize both tumor and nerves in ex vivo prostate tissue.
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22
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Kapustin DA, Yun J, Su V, Rubin SJ, Modica I, Chung D, Fan J, Khan MN, Chai RL, Karasick M, Doyle S, Brandwein-Weber M, Urken ML. Frozen Section Timeout: Pilot Study to Reconcile Margins Using 3D Resected Specimen and Defect Scans. Laryngoscope 2024; 134:725-731. [PMID: 37466312 DOI: 10.1002/lary.30892] [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: 04/17/2023] [Revised: 06/28/2023] [Accepted: 07/02/2023] [Indexed: 07/20/2023]
Abstract
OBJECTIVE Opportunities exist to improve intraoperative communication and documentation of resection margin details. We instituted a "frozen section timeout" that centers around visualization of the paired resection specimen and surgical defect-facilitating effective, bidirectional exchange of information. METHODS We designed an interactive form for use during the "frozen section timeout" including annotated 3D virtual models of the resected specimen and surgical defect, plus a "line-item" table for primary and supplemental margin results. The "timeout" was conducted over a Zoom call between the operating room and frozen section laboratory. The form was simultaneously projected and discussed while all members of the surgical care team stopped activities. Nurses, co-surgeons, and all other members of the surgical team were encouraged to take part in this process. RESULTS Twenty-six frozen section timeouts were conducted during head and neck surgeries in the Department of Otolaryngology at Mount Sinai West Hospital. These timeouts were facilitated by the lead surgeon, and all other activities were halted to ensure that critical information was shared, documented, and agreed upon. During the timeout, the annotated specimen and defect scans were displayed, clearly demonstrating the at-risk margins and the corresponding location and breadth of supplemental margins harvested. CONCLUSION Incorporating a frozen section timeout can improve intraoperative communication, increase transparency, and potentially eliminate uncertainty regarding margin status and tumor clearance. Visualization of at-risk margins and the corresponding location and breadth of supplemental margins promises an unprecedented level of documentation and understanding. This novel technique can establish a new and improved standard of care. LEVEL OF EVIDENCE NA Laryngoscope, 134:725-731, 2024.
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Affiliation(s)
- Danielle A Kapustin
- THANC (Thyroid, Head & Neck Cancer) Foundation, New York, New York, U.S.A
- Department of Otolaryngology-Head and Neck Surgery, Icahn School of Medicine at Mount Sinai, New York, New York, U.S.A
| | - Jun Yun
- THANC (Thyroid, Head & Neck Cancer) Foundation, New York, New York, U.S.A
- Department of Otolaryngology-Head and Neck Surgery, Icahn School of Medicine at Mount Sinai, New York, New York, U.S.A
| | - Vivian Su
- THANC (Thyroid, Head & Neck Cancer) Foundation, New York, New York, U.S.A
- Department of Otolaryngology-Head and Neck Surgery, Icahn School of Medicine at Mount Sinai, New York, New York, U.S.A
| | - Samuel J Rubin
- THANC (Thyroid, Head & Neck Cancer) Foundation, New York, New York, U.S.A
- Department of Otolaryngology-Head and Neck Surgery, Icahn School of Medicine at Mount Sinai, New York, New York, U.S.A
| | - Ippolito Modica
- Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, New York, U.S.A
| | - Daniel Chung
- Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, New York, U.S.A
| | - Jun Fan
- Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, New York, U.S.A
| | - Mohemmed N Khan
- Department of Otolaryngology-Head and Neck Surgery, Icahn School of Medicine at Mount Sinai, New York, New York, U.S.A
| | - Raymond L Chai
- Department of Otolaryngology-Head and Neck Surgery, Icahn School of Medicine at Mount Sinai, New York, New York, U.S.A
| | - Michael Karasick
- THANC (Thyroid, Head & Neck Cancer) Foundation, New York, New York, U.S.A
| | - Scott Doyle
- Department of Pathology and Anatomical Sciences, University at Buffalo Jacobs School of Medicine and Biomedical Sciences, Buffalo, New York, U.S.A
| | | | - Mark L Urken
- THANC (Thyroid, Head & Neck Cancer) Foundation, New York, New York, U.S.A
- Department of Otolaryngology-Head and Neck Surgery, Icahn School of Medicine at Mount Sinai, New York, New York, U.S.A
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23
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Ali JP, Mallick BA, Rashid K, Malik UA, Hashmi AA, Zia S, Irfan M, Khan A, Faridi N. Diagnostic accuracy of intraoperative frozen section for margin evaluation of oral cavity squamous cell carcinoma. BMC Res Notes 2024; 17:43. [PMID: 38303028 PMCID: PMC10835936 DOI: 10.1186/s13104-024-06698-8] [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: 12/02/2023] [Accepted: 01/18/2024] [Indexed: 02/03/2024] Open
Abstract
OBJECTIVES Intraoperative frozen-section evaluation is a valuable technique for detecting positive margins intraoperatively for oral squamous cell carcinoma. We conducted this study to determine the diagnostic accuracy of frozen section in detecting margin status and the effect of tumor grade and stage on diagnostic accuracy. RESULTS A total of 251 biopsy-proven cases of oral squamous cell carcinoma were included in this study. The tissue specimen resected during surgery was sent to the laboratory for frozen section evaluation. The frozen section results were then compared with the permanent section results to determine the sensitivity, specificity, positive predictive value, negative predictive value, and diagnostic accuracy. The mean age of the patients included in the study was 51.65 ± 10.03 years, with male predominance (55.4%). The overall sensitivity, specificity, positive predictive value, negative predictive value, and diagnostic accuracy of frozen section were 88.81%, 94.84%, 95.20%, 88.10%, and 91.63%, respectively. We conclude that frozen section is a useful technique in determining the margin status intraoperatively in oral cancers, with high diagnostic accuracy. Moreover, certain clinical parameters such as age, gender, disease duration, and tumor stage and grade appear to affect the diagnostic accuracy of frozen section.
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Affiliation(s)
- Javaria P Ali
- Department of Histopathology, Liaquat National Hospital and Medical College, Karachi, Pakistan
| | - Bakhtawar Allauddin Mallick
- Zainab Panjwani Memorial Hospital, Karachi, Pakistan
- Emergency Medicine, Al-Rayaz Hospital, Karachi, Pakistan
- Prime Cardiology of Nevada, Las Vegas, USA
| | - Khushbakht Rashid
- Department of Nephrology, Sindh Institute of Urology and Transplantation, Karachi, Pakistan
| | | | - Atif Ali Hashmi
- Department of Histopathology, Liaquat National Hospital and Medical College, Karachi, Pakistan
| | - Shamail Zia
- Department of Pathology, Jinnah Sindh Medical University, Karachi, Pakistan
| | - Muhammad Irfan
- Department of Biostatistics, Liaquat National Hospital and Medical College, Karachi, Pakistan
| | - Amir Khan
- Department of Medicine, Kandahar University, Kandahar, Afghanistan.
| | - Naveen Faridi
- Department of Histopathology, Liaquat National Hospital and Medical College, Karachi, Pakistan
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24
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Kondo T, Nishio N, Park JS, Mani LD, Naveed A, Tanaka H, Lewis JS, Rosenthal EL, Hom ME. Identification of Optimal Tissue-Marking Dye Color for Pathological Evaluation in Fluorescence Imaging Using IRDye800CW. Mol Imaging Biol 2024; 26:162-172. [PMID: 38057647 DOI: 10.1007/s11307-023-01882-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 11/23/2023] [Accepted: 11/27/2023] [Indexed: 12/08/2023]
Abstract
PURPOSE Fluorescence-guided surgery using a tumor-specific antibody-dye conjugate is useful in various cancer types. Fluorescence imaging is a valuable tool both intraoperatively and postoperatively for ex vivo imaging. The color of inks used for tumor specimens during ex vivo specimen processing in pathology is an important consideration for fluorescence imaging since the absorption/emission of the dyes may interfere with the fluorescent dye. This study assesses suitable ink colors for use specifically with IRDye800CW fluorescence imaging. PROCEDURES Eight tissue-marking inks or dyes (TMDs) commonly used for pathological evaluation were assessed. Agarose tissue-mimicking phantoms containing Panitumumab-IRDye800CW were used as an initial model. Mean fluorescence intensity was measured at 800 nm using both Pearl Trilogy as a closed-field fluorescence imaging system and pde-neo II as an open-field fluorescence imaging system before and after TMD application. An in vivo mouse xenograft model using the human head and neck squamous cell carcinoma FaDu cell line was then used in conjunction with TMDs. RESULTS The retained IRDye800CW fluorescence on Pearl Trilogy was as follows: yellow at 91.0 ± 4.5%, red at 90.6 ± 2.7%, orange at 88.2 ± 2.2%, violet at 56.6 ± 1.1%, lime at 40.9 ± 1.8%, green at 19.3 ± 2.8%, black at 13.3 ± 0.6%, and blue at 8.1 ± 0.2%. The retained IRDye800CW fluorescence on pde-neo II was as follows: yellow at 86.5 ± 6.4%, red at 77.0 ± 6.2%, orange at 76.9 ± 2.8%, lime at 72.5 ± 9.5%, violet at 59.7 ± 0.4%, green at 30.1 ± 6.9%, black at 17.0 ± 2.7%, and blue at 6.7 ± 1.7%. The retained IRDye800CW fluorescence in yellow and blue TMDs was 42.1 ± 14.9% and 0.2 ± 0.2%, respectively in the mouse experiment (p = 0.039). CONCLUSION Yellow, red, and orange TMDs should be used, and blue and black TMDs should be avoided for evaluating tumor specimens through fluorescence imaging using IRDye800CW.
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Affiliation(s)
- Takahito Kondo
- Department of Otolaryngology-Head and Neck Surgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Naoki Nishio
- Department of Otorhinolaryngology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Jason S Park
- Department of Otolaryngology-Head and Neck Surgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lucas D Mani
- Department of Otolaryngology-Head and Neck Surgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Abdullah Naveed
- Department of Otolaryngology-Head and Neck Surgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Hidenori Tanaka
- Department of Otolaryngology-Head and Neck Surgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - James S Lewis
- Department of Otolaryngology-Head and Neck Surgery, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Eben L Rosenthal
- Department of Otolaryngology-Head and Neck Surgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Marisa E Hom
- Department of Otolaryngology-Head and Neck Surgery, Vanderbilt University Medical Center, Nashville, TN, USA.
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25
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Feenstra L, van der Stel SD, Da Silva Guimaraes M, Dashtbozorg B, Ruers TJM. Point Projection Mapping System for Tracking, Registering, Labeling, and Validating Optical Tissue Measurements. J Imaging 2024; 10:37. [PMID: 38392085 PMCID: PMC10890146 DOI: 10.3390/jimaging10020037] [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: 11/28/2023] [Revised: 01/23/2024] [Accepted: 01/27/2024] [Indexed: 02/24/2024] Open
Abstract
The validation of newly developed optical tissue-sensing techniques for tumor detection during cancer surgery requires an accurate correlation with the histological results. Additionally, such an accurate correlation facilitates precise data labeling for developing high-performance machine learning tissue-classification models. In this paper, a newly developed Point Projection Mapping system will be introduced, which allows non-destructive tracking of the measurement locations on tissue specimens. Additionally, a framework for accurate registration, validation, and labeling with the histopathology results is proposed and validated on a case study. The proposed framework provides a more-robust and accurate method for the tracking and validation of optical tissue-sensing techniques, which saves time and resources compared to the available conventional techniques.
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Affiliation(s)
- Lianne Feenstra
- Image-Guided Surgery, Department of Surgical Oncology, 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
| | - Stefan D van der Stel
- Image-Guided Surgery, Department of Surgical Oncology, 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
| | - Behdad Dashtbozorg
- Image-Guided Surgery, Department of Surgical Oncology, Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
| | - Theo J M Ruers
- Image-Guided Surgery, Department of Surgical Oncology, 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
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26
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Miller A, Prasad K, Sharif KF, Adams DJ, Garbow L, Roberts E, Lewis JS, Ely KA, Mehrad M, Rohde SL, Langerman AJ, Mannion K, Sinard RJ, Netterville JL, Rosenthal EL, Topf MC. Virtual 3D Specimen Mapping in Head & Neck Oncologic Surgery. Laryngoscope 2024; 134:191-197. [PMID: 37466329 PMCID: PMC10796840 DOI: 10.1002/lary.30881] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 06/15/2023] [Accepted: 06/29/2023] [Indexed: 07/20/2023]
Abstract
OBJECTIVES Virtual 3D specimen mapping of oncologic surgical specimens provides a visual record of the specimen and margin sampling sites which can be utilized in a variety of cancer care settings. Our objective was to perform a retrospective review of head and neck surgical oncology cases where the specimen was mapped post-operatively and to evaluate the utility of these 3D specimen maps amongst the multidisciplinary cancer care team. METHODS A retrospective review of our 3D specimen model biorepository was performed. Surgical specimens were 3D scanned and then graphically annotated (or "mapped") during routine pathologic processing. The resulting 3D specimen maps were distributed to the multidisciplinary oncologic care team. Final margin status and any use of the 3D specimen maps were recorded. RESULTS A total of 28 cases were included. Virtual 3D specimen maps were utilized by the cancer care team in 8 cases (29%), including 2 positive margin cases, 2 close margin cases, and 4 indeterminate margin cases. 3D specimen maps were used to visualize positive margin sites for pathologist-surgeon communication as a visual reference during tumor board discussions and to inform radiation treatment planning. CONCLUSION Post-operative virtual 3D specimen mapping of oncologic specimens creates a permanent visual record of the specimen and the margins sampled and may serve as a beneficial tool for communication amongst the multidisciplinary cancer care team. LEVEL OF EVIDENCE 4 Laryngoscope, 134:191-197, 2024.
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Affiliation(s)
- Alexis Miller
- Department of Otolaryngology – Head and Neck Surgery, Vanderbilt University Medical Center
| | - Kavita Prasad
- Department of Otolaryngology – Head and Neck Surgery, Vanderbilt University Medical Center
| | | | - Destinee J. Adams
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center
| | - Lily Garbow
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center
| | - Emily Roberts
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center
| | - James S. Lewis
- Department of Otolaryngology – Head and Neck Surgery, Vanderbilt University Medical Center
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center
| | - Kim A. Ely
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center
| | - Mitra Mehrad
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center
| | - Sarah L. Rohde
- Department of Otolaryngology – Head and Neck Surgery, Vanderbilt University Medical Center
| | - Alexander J. Langerman
- Department of Otolaryngology – Head and Neck Surgery, Vanderbilt University Medical Center
| | - Kyle Mannion
- Department of Otolaryngology – Head and Neck Surgery, Vanderbilt University Medical Center
| | - Robert J. Sinard
- Department of Otolaryngology – Head and Neck Surgery, Vanderbilt University Medical Center
| | - James L. Netterville
- Department of Otolaryngology – Head and Neck Surgery, Vanderbilt University Medical Center
| | - Eben L. Rosenthal
- Department of Otolaryngology – Head and Neck Surgery, Vanderbilt University Medical Center
| | - Michael C. Topf
- Department of Otolaryngology – Head and Neck Surgery, Vanderbilt University Medical Center
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Sarkaria IS, Martin LW, Rice DC, Blackmon SH, Slade HB, Singhal S. Pafolacianine for intraoperative molecular imaging of cancer in the lung: The ELUCIDATE trial. J Thorac Cardiovasc Surg 2023; 166:e468-e478. [PMID: 37019717 DOI: 10.1016/j.jtcvs.2023.02.025] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 12/06/2022] [Accepted: 02/12/2023] [Indexed: 03/06/2023]
Abstract
OBJECTIVE The study objective was to determine the clinical utility of pafolacianine, a folate receptor-targeted fluorescent agent, in revealing by intraoperative molecular imaging folate receptor α positive cancers in the lung and narrow surgical margins that may otherwise be undetected with conventional visualization. METHODS In this Phase 3, 12-center trial, 112 patients with suspected or biopsy-confirmed cancer in the lung scheduled for sublobar pulmonary resection were administered intravenous pafolacianine within 24 hours before surgery. Participants were randomly assigned to surgery with or without intraoperative molecular imaging (10:1 ratio). The primary end point was the proportion of participants with a clinically significant event, reflecting a meaningful change in the surgical operation. RESULTS No drug-related serious adverse events occurred. One or more clinically significant event occurred in 53% of evaluated participants compared with a prespecified limit of 10% (P < .0001). In 38 participants, at least 1 event was a margin 10 mm or less from the resected primary nodule (38%, 95% confidence interval, 28.5-48.3), 32 being confirmed by histopathology. In 19 subjects (19%, 95% confidence interval, 11.8-28.1), intraoperative molecular imaging located the primary nodule that the surgeon could not locate with white light and palpation. Intraoperative molecular imaging revealed 10 occult synchronous malignant lesions in 8 subjects (8%, 95% confidence interval, 3.5-15.2) undetected using white light. Most (73%) intraoperative molecular imaging-discovered synchronous malignant lesions were outside the planned resection field. A change in the overall scope of surgical procedure occurred for 29 of the subjects (22 increase, 7 decrease). CONCLUSIONS Intraoperative molecular imaging with pafolacianine improves surgical outcomes by identifying occult tumors and close surgical margins.
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Affiliation(s)
- Inderpal S Sarkaria
- University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, Pa
| | - Linda W Martin
- University of Virginia Medical School, Charlottesville, Va
| | - David C Rice
- The University of Texas MD Anderson Cancer Center, Houston, Tex
| | | | - Herbert B Slade
- Deptartment of Pediatrics, University of North Texas Health Science Center, Fort Worth, Tex
| | - Sunil Singhal
- University of Pennsylvania Perelman School of Medicine, Philadelphia, Pa.
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28
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Spence RN, Efthymiou V, Goss D, Varvares MA. Margin distance in oral tongue cancer surgery: A systematic review of survival and recurrence outcomes. Oral Oncol 2023; 147:106609. [PMID: 37948894 DOI: 10.1016/j.oraloncology.2023.106609] [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: 08/24/2023] [Revised: 10/14/2023] [Accepted: 10/27/2023] [Indexed: 11/12/2023]
Abstract
The status of resection margins is a proxy for the completeness of resection in oral tongue cancer surgery and is therefore a useful predictor for post-operative prognosis. Historically, a margin distance of 5 mm or greater has been deemed a negative margin and is believed to yield a benefit in terms of control and survival. To summarize the literature more completely on this topic, we conducted a systematic review that examines radial margin distance and its relationship to disease control and survival in oral tongue cancer. Our review includes 34 studies which reported survival and/or recurrence outcomes for oral tongue cancer patients based on margin status. Most studies reported outcomes for the 5 mm margin, while the minority utilized other margin cutoffs. For the 5 mm cutoff, outcomes were generally favorable regarding survival and recurrence outcomes. Nonetheless, studies using 4 mm, 3.3 mm, and 10 mm cutoffs also found favorable survival and recurrence outcomes; however, these are a minority of the included studies.
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Affiliation(s)
- Ryland N Spence
- The Warren Alpert Medical School of Brown University, 222 Richmond St., Providence, RI 02903, USA
| | - Vasileios Efthymiou
- Department of Otolaryngology-Head and Neck Surgery, Massachusetts Eye and Ear, Boston, MA 02114, USA
| | - Deborah Goss
- Department of Otolaryngology-Head and Neck Surgery, Massachusetts Eye and Ear, Boston, MA 02114, USA
| | - Mark A Varvares
- Department of Otolaryngology-Head and Neck Surgery, Massachusetts Eye and Ear, Boston, MA 02114, USA.
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29
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Declerck NB, Huygen C, Mateusiak L, Stroet MCM, Hernot S. The GEM-handle as convenient labeling strategy for bimodal single-domain antibody-based tracers carrying 99mTc and a near-infrared fluorescent dye for intra-operative decision-making. Front Immunol 2023; 14:1285923. [PMID: 38035094 PMCID: PMC10684908 DOI: 10.3389/fimmu.2023.1285923] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Accepted: 10/30/2023] [Indexed: 12/02/2023] Open
Abstract
Intra-operative fluorescence imaging has demonstrated its ability to improve tumor lesion identification. However, the limited tissue penetration of the fluorescent signals hinders the detection of deep-lying or occult lesions. Integrating fluorescence imaging with SPECT and/or intra-operative gamma-probing synergistically combines the deep tissue penetration of gamma rays for tumor localization with the precision of fluorescence imaging for precise tumor resection. In this study, we detail the use of a genetically encoded multifunctional handle, henceforth referred to as a GEM-handle, for the development of fluorescent/radioactive bimodal single-domain antibody (sdAb)-based tracers. A sdAb that targets the urokinase plasminogen activator receptor (uPAR) was engineered to carry a GEM-handle containing a carboxy-terminal hexahistidine-tag and cysteine-tag. A two-step labeling strategy was optimized and applied to site-specifically label IRDye800CW and 99mTc to the sdAb. Bimodal labeling of the sdAbs proved straightforward and successful. 99mTc activity was however restricted to 18.5 MBq per nmol fluorescently-labeled sdAb to prevent radiobleaching of IRDye800CW without impeding SPECT/CT imaging. Subsequently, the in vivo biodistribution and tumor-targeting capacity of the bimodal tracer were evaluated in uPAR-positive tumor-bearing mice using SPECT/CT and fluorescence imaging. The bimodal sdAb showed expected renal background signals due to tracer clearance, along with slightly elevated non-specific liver signals. Four hours post-injection, both SPECT/CT and fluorescent images achieved satisfactory tumor uptake and contrast, with significantly higher values observed for the anti-uPAR bimodal sdAb compared to a control non-targeting sdAb. In conclusion, the GEM-handle is a convenient method for designing and producing bimodal sdAb-based tracers with adequate in vivo characteristics.
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Affiliation(s)
| | | | | | | | - Sophie Hernot
- Molecular Imaging and Therapy Laboratory (MITH), Vrije Universiteit Brussel (VUB), Brussels, Belgium
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30
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Li D, Li X, Li J, Wang Y, Tan F, Li X. Development of a fibroblast activation protein-targeted PET/NIR dual-modality probe and its application in head and neck cancer. Front Bioeng Biotechnol 2023; 11:1291824. [PMID: 38026901 PMCID: PMC10654779 DOI: 10.3389/fbioe.2023.1291824] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Accepted: 10/24/2023] [Indexed: 12/01/2023] Open
Abstract
Purpose: The combination of near-infrared (NIR) and positron emission tomography (PET) imaging presents an opportunity to utilize the benefits of dual-modality imaging for tumor visualization. Based on the observation that fibroblast activation protein (FAP) is upregulated in cancer-associated fibroblasts (CAFs) infiltrating all solid tumors, including head and neck squamous cell carcinoma (HNSCC), we developed the novel PET/NIR probe [68Ga]Ga-FAP-2286-ICG. Preclinically, the specificity, biodistribution and diagnostic properties were evaluated. Methods: Cell uptake assays were completed with the U87MG cell to evaluate the specificity of the [68Ga]Ga-FAP-2286-ICG. The tumor-targeting efficiency, biodistribution and optimal imaging time window of the [68Ga]Ga-FAP-2286-ICG were studied in mice bearing U87MG xenografts. HNSCC tumor-bearing mice were used to evaluate the feasibility of [68Ga]Ga-FAP-2286-ICG for tumor localization and guided surgical resection of HNSCC tumors. Results: The in vitro experiments confirmed that [68Ga]Ga-FAP-2286-ICG showed good stability, specific targeting of the probe to FAP, and the durable retention effect in high-expressing FAP tumors U87MG cell. Good imaging properties such as good tumor uptake, high tumor-to-background ratios (5.44 ± 0.74) and specificity, and tumor contouring were confirmed in studies with mice bearing the U87MG xenograft. PET/CT imaging of the probe in head and neck cancer-bearing mice demonstrated specific uptake of the probe in the tumor with a clear background. Fluorescence imaging further validated the value of the probe in guiding surgical resection and achieving precise removal of the tumor and residual lesions. Conclusion: In a preclinical model, these attractive [68Ga]Ga-FAP-2286-ICG PET/NIR imaging acquired in head and neck cancer make it a promising FAP-targeted multimodal probe for clinical translation.
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Affiliation(s)
- Danni Li
- Department of ORL-HNS, Shanghai Fourth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Xuran Li
- Department of ORL-HNS, Shanghai Fourth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Jiaojiao Li
- Department of ORL-HNS, Shanghai Fourth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Yanhong Wang
- Department of ORL-HNS, Shanghai Fourth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Fei Tan
- Department of ORL-HNS, Shanghai Fourth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
- The Royal College of Surgeons in Ireland, Dublin, Ireland
- The Royal College of Surgeons of England, London, United Kingdom
| | - Xiao Li
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai, China
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Ma S, Sun B, Li M, Han T, Yu C, Wang X, Zheng X, Li S, Zhu S, Wang Q. High-precision detection and navigation surgery of colorectal cancer micrometastases. J Nanobiotechnology 2023; 21:403. [PMID: 37919717 PMCID: PMC10621104 DOI: 10.1186/s12951-023-02171-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 10/18/2023] [Indexed: 11/04/2023] Open
Abstract
Surgical resection is an effective treatment for colorectal cancer (CRC) patients, whereas occult metastases hinder the curative effect. Currently, there is no effective method to achieve intraoperatively diagnosis of tumor-positive lymph nodes (LNs). Herein, we adopt a near-infrared-II (NIR-II) organic donor-pi-acceptor-pi-donor probe FE-2PEG, which exhibits bright fluorescence over 1100 nm, excellent photostability, blood circulation time, and biocompatibility, to achieve high-performance bioimaging with improved temporal and spatial resolution. Importantly, the FE-2PEG shows efficient passive enrichment in orthotopic CRC, metastatic mesenteric LNs, and peritoneal metastases by enhanced permeability and retention effect. Under NIR-II fluorescence-guided surgery (FGS), the peritoneal micrometastases were resected with a sensitivity of 94.51%, specificity of 86.59%, positive predictive value (PPV) of 96.57%, and negative predictive value of 79.78%. The PPV still achieves 96.07% even for micrometastases less than 3 mm. Pathological staining and NIR-II microscopy imaging proved that FE-2PEG could successfully delineate the boundary between the tumor and normal tissues. Dual-color NIR-II imaging strategy with FE-2PEG (1100 ~ 1300 nm) and PbS@CdS quantum dots (> 1500 nm) successfully protects both blood supply and normal tissues during surgery. The NIR-II-based FGS provides a promising prospect for precise intraoperative diagnosis and minimally invasive surgery of CRC.
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Affiliation(s)
- Shengjie Ma
- Department of Gastrocolorectal Surgery, General Surgery Center, The First Hospital of Jilin University, Changchun, 130012, People's Republic of China
- Joint Laboratory of Opto-Functional Theranostics in Medicine and Chemistry, The First Hospital of Jilin University, Changchun, 130021, People's Republic of China
| | - Bin Sun
- Joint Laboratory of Opto-Functional Theranostics in Medicine and Chemistry, The First Hospital of Jilin University, Changchun, 130021, People's Republic of China
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun, 130012, People's Republic of China
| | - Mengfei Li
- Joint Laboratory of Opto-Functional Theranostics in Medicine and Chemistry, The First Hospital of Jilin University, Changchun, 130021, People's Republic of China
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun, 130012, People's Republic of China
| | - Tianyang Han
- Joint Laboratory of Opto-Functional Theranostics in Medicine and Chemistry, The First Hospital of Jilin University, Changchun, 130021, People's Republic of China
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun, 130012, People's Republic of China
| | - Chenlong Yu
- Joint Laboratory of Opto-Functional Theranostics in Medicine and Chemistry, The First Hospital of Jilin University, Changchun, 130021, People's Republic of China
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun, 130012, People's Republic of China
| | - Xin Wang
- Joint Laboratory of Opto-Functional Theranostics in Medicine and Chemistry, The First Hospital of Jilin University, Changchun, 130021, People's Republic of China
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun, 130012, People's Republic of China
| | - Xue Zheng
- Joint Laboratory of Opto-Functional Theranostics in Medicine and Chemistry, The First Hospital of Jilin University, Changchun, 130021, People's Republic of China
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun, 130012, People's Republic of China
| | - Shuang Li
- Department of Gastrocolorectal Surgery, General Surgery Center, The First Hospital of Jilin University, Changchun, 130012, People's Republic of China
| | - Shoujun Zhu
- Joint Laboratory of Opto-Functional Theranostics in Medicine and Chemistry, The First Hospital of Jilin University, Changchun, 130021, People's Republic of China.
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun, 130012, People's Republic of China.
| | - Quan Wang
- Department of Gastrocolorectal Surgery, General Surgery Center, The First Hospital of Jilin University, Changchun, 130012, People's Republic of China.
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Prasad K, Topf MC, Clookey S, Philips R, Curry J, Tassone P. Trends in Positive Surgical Margins in cT3-T4 Oral Cavity Squamous Cell Carcinoma. Otolaryngol Head Neck Surg 2023; 169:1200-1207. [PMID: 37232479 DOI: 10.1002/ohn.377] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 04/11/2023] [Accepted: 04/29/2023] [Indexed: 05/27/2023]
Abstract
OBJECTIVE Positive surgical margins in oral cavity squamous cell carcinoma are associated with cost escalation, treatment intensification, and greater risk of recurrence and mortality. The positive margin rate has been decreasing for cT1-T2 oral cavity cancer over the past 2 decades. We aim to evaluate positive margin rates in cT3-T4 oral cavity cancer over time, and determine factors associated with positive margins. STUDY DESIGN Retrospective analysis of a national database. SETTING National Cancer Database 2004 to 2018. METHODS All adult patients diagnosed between 2004 and 2018 who underwent primary curative intent surgery for previously untreated cT3-T4 oral cavity cancer with known margin status were included. Logistic univariable and multivariable regression analyses were performed to identify factors associated with positive margins. RESULTS Among 16,326 patients with cT3 or cT4 oral cavity cancer, positive margins were documented in 2932 patients (18.1%). Later year of treatment was not significantly associated with positive margins (odds ratio [OR] 0.98, 95% confidence interval [CI] 0.96-1.00). The proportion of patients treated at academic centers increased over time (OR 1.02, 95% CI 1.01-1.03). On multivariable analysis, positive margins were significantly associated with hard palate primary, cT4 tumors, advancing N stage, lymphovascular invasion, poorly differentiated histology, and treatment at nonacademic or low-volume centers. CONCLUSION Despite increased treatment at academic centers for locally advanced oral cavity cancer, there has been no significant decrease in positive margin rates which remains high at 18.1%. Novel techniques for margin planning and assessment may be required to decrease positive margin rates in locally advanced oral cavity cancer.
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Affiliation(s)
- Kavita Prasad
- Department of Otolaryngology-Head & Neck Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Michael C Topf
- Department of Otolaryngology-Head & Neck Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | | | - Ramez Philips
- Department of Otolaryngology-Head and Neck Surgery, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Joseph Curry
- Department of Otolaryngology-Head and Neck Surgery, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Patrick Tassone
- Department of Otolaryngology-Head & Neck Surgery, University of Missouri, Columbia, Missouri, USA
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Fan B, Zhang L, Wang Y, Dai Z, Pan H, Xie J, Wang H, Xin Z, Wang Y, Duan X, Luo J, Wang L, Liu Z. Value of three-dimensional visualization of preoperative prostatic magnetic resonance imaging based on measurements of anatomical structures in predicting positive surgical margin after radical prostatectomy. Front Endocrinol (Lausanne) 2023; 14:1228892. [PMID: 37859989 PMCID: PMC10582708 DOI: 10.3389/fendo.2023.1228892] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 09/13/2023] [Indexed: 10/21/2023] Open
Abstract
Background Positive surgical margin (PSM) or apical positive surgical margin (APSM) is an established predictive factor of biochemical recurrence or disease progression in prostate cancer (PCa) patients after radical prostatectomy. Since there are limited usable magnetic resonance imaging (MRI)-based models, we sought to explore the role of three-dimensional (3D) visualization for preoperative MRI in the prediction of PSM or APSM. Methods From December 2016 to April 2022, 149 consecutive PCa patients who underwent radical prostatectomy were retrospectively selected from the Second Affiliated Hospital of Dalian Medical University. According to the presence of PSM or APSM, patients were divided into a PSM group (n=41) and a without PSM group (n=108) and into an APSM group (n=33) and a without APSM group (n=116). Twenty-one parameters, including prostate apical shape, PCa distance to the membranous urethra, and pubic angle, were measured on 3D visualization of MRI. The development of the nomogram models was built by the findings of multivariate logistic regression analysis for significant factors. Results To predict the probability of PSM, a longer PCa distance to the membranous urethra (OR=0.136, p=0.019) and the distance from the anterior peritoneum to the anterior border of the coccyx (work space AP, OR=0.240, p=0.030) were independent protective factors, while a type 3 prostate apical shape (OR=8.262, p=0.025) and larger pubic angle 2 (OR=5.303, p=0.029) were identified as independent risk factors. The nomogram model presented an area under the curve (AUC) of the receiver operating characteristic curve (ROC) of PSM of 0.777. In evaluating the incidence of APSM, we found that the distance to the membranous urethra (OR=0.135, p=0.014) was associated with a low risk of APSM, while larger pubic angle 1 (OR=4.666, p=0.043) was connected to a higher risk of APSM. The nomogram model showed that the AUC of APSM was 0.755. Conclusion As 3D visualization for preoperative MRI showed good performance in predicting PSM or APSM, the tool might be potentially valuable, which also needs to be validated by multicenter, large-scale, prospective studies.
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Affiliation(s)
- Bo Fan
- Department of Urology, Second Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
- Liaoning Provincial Key Laboratory of Urological Digital Precision Diagnosis and Treatment, the Liaoning Provincial Department of Science and Technology, Dalian, Liaoning, China
- Liaoning Engineering Research Center of Integrated Precision Diagnosis and Treatment Technology for Urological Cancer, Liaoning Provincial Development and Reform Commission, Dalian, Liaoning, China
- Dalian Key Laboratory of Prostate Cancer Research, Dalian Science and Technology Bureau, Dalian, Liaoning, China
| | - Luxin Zhang
- Department of Urology, Second Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
- Liaoning Provincial Key Laboratory of Urological Digital Precision Diagnosis and Treatment, the Liaoning Provincial Department of Science and Technology, Dalian, Liaoning, China
- Liaoning Engineering Research Center of Integrated Precision Diagnosis and Treatment Technology for Urological Cancer, Liaoning Provincial Development and Reform Commission, Dalian, Liaoning, China
- Dalian Key Laboratory of Prostate Cancer Research, Dalian Science and Technology Bureau, Dalian, Liaoning, China
| | - Yuchao Wang
- Department of Urology, Second Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
- Liaoning Provincial Key Laboratory of Urological Digital Precision Diagnosis and Treatment, the Liaoning Provincial Department of Science and Technology, Dalian, Liaoning, China
- Liaoning Engineering Research Center of Integrated Precision Diagnosis and Treatment Technology for Urological Cancer, Liaoning Provincial Development and Reform Commission, Dalian, Liaoning, China
- Dalian Key Laboratory of Prostate Cancer Research, Dalian Science and Technology Bureau, Dalian, Liaoning, China
| | - Zhihong Dai
- Department of Urology, Second Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
- Liaoning Provincial Key Laboratory of Urological Digital Precision Diagnosis and Treatment, the Liaoning Provincial Department of Science and Technology, Dalian, Liaoning, China
- Liaoning Engineering Research Center of Integrated Precision Diagnosis and Treatment Technology for Urological Cancer, Liaoning Provincial Development and Reform Commission, Dalian, Liaoning, China
- Dalian Key Laboratory of Prostate Cancer Research, Dalian Science and Technology Bureau, Dalian, Liaoning, China
| | - Heming Pan
- Department of Scientific Research, Dalian Neusoft University of Information, Dalian, Liaoning, China
| | - Jiaxin Xie
- Institute of Urology, Peking University, Beijing, China
| | - Hao Wang
- Department of Clinical Medicine, First Clinical School of Dalian Medical University, Dalian, Liaoning, China
| | - Zihan Xin
- Department of Clinical Medicine, First Clinical School of Dalian Medical University, Dalian, Liaoning, China
| | - Yutong Wang
- Department of Clinical Medicine, First Clinical School of Dalian Medical University, Dalian, Liaoning, China
| | - Xu Duan
- Department of Clinical Medicine, First Clinical School of Dalian Medical University, Dalian, Liaoning, China
| | - Jiawen Luo
- Department of Radiology, Second Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Liang Wang
- Department of Urology, Second Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
- Liaoning Provincial Key Laboratory of Urological Digital Precision Diagnosis and Treatment, the Liaoning Provincial Department of Science and Technology, Dalian, Liaoning, China
- Liaoning Engineering Research Center of Integrated Precision Diagnosis and Treatment Technology for Urological Cancer, Liaoning Provincial Development and Reform Commission, Dalian, Liaoning, China
- Dalian Key Laboratory of Prostate Cancer Research, Dalian Science and Technology Bureau, Dalian, Liaoning, China
| | - Zhiyu Liu
- Department of Urology, Second Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
- Liaoning Provincial Key Laboratory of Urological Digital Precision Diagnosis and Treatment, the Liaoning Provincial Department of Science and Technology, Dalian, Liaoning, China
- Liaoning Engineering Research Center of Integrated Precision Diagnosis and Treatment Technology for Urological Cancer, Liaoning Provincial Development and Reform Commission, Dalian, Liaoning, China
- Dalian Key Laboratory of Prostate Cancer Research, Dalian Science and Technology Bureau, Dalian, Liaoning, China
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Kennedy GT, Azari FS, Chang A, Chang A, Bou-Samra P, Desphande C, Delikatny EJ, Eruslanov E, Kucharczuk JC, Rice DC, Singhal S. A pH-Activatable Nanoprobe Labels Diverse Histologic Subtypes of Human Lung Cancer During Resection. Mol Imaging Biol 2023; 25:824-832. [PMID: 37697109 PMCID: PMC11141135 DOI: 10.1007/s11307-023-01853-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 08/02/2023] [Accepted: 08/15/2023] [Indexed: 09/13/2023]
Abstract
BACKGROUND Intraoperative molecular imaging (IMI) uses tumor-targeted optical contrast agents to improve identification and clearance of cancer during surgery. Recently, pH-activatable contrast agents have been developed but none has been tested in lung cancer. Here, we report the successful clinical translation of pegsitacianine (ONM-100), a pH-activatable nanoprobe, for fluorescence-guided lung cancer resection. METHODS We first characterized the pH setpoint for pegsitacianine fluorescence activation in vitro. We then optimized the specificity, dosing, and timing of pegsitacianine in murine flank xenograft models of lung adenocarcinoma and squamous cell carcinoma. Finally, we tested pegsitacianine in humans undergoing lung cancer surgery as part of an ongoing phase 2 trial. RESULTS We found that the fluorescence activation of pegsitacianine occurred below physiologic pH in vitro. Using preclinical models of lung cancer, we found that the probe selectively labeled both adenocarcinoma and squamous cell carcinoma xenografts (mean tumor-to-background ratio [TBR] > 2.0 for all cell lines). In the human pilot study, we report cases in which pegsitacianine localized pulmonary adenocarcinoma and pulmonary squamous cell carcinoma (TBRs= 2.7 and 2.4) in real time to illustrate its successful clinical translation and potential to improve surgical management. CONCLUSIONS This translational study demonstrates the feasibility of pegsitacianine as an IMI probe to label the two most common histologic subtypes of human lung cancer.
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Affiliation(s)
- Gregory Thomas Kennedy
- Department of Surgery, University of Pennsylvania School of Medicine, 3400 Civic Center Boulevard, 14th Floor, South Pavilion, Philadelphia, PA, 19104, USA
| | - Feredun S Azari
- Department of Surgery, University of Pennsylvania School of Medicine, 3400 Civic Center Boulevard, 14th Floor, South Pavilion, Philadelphia, PA, 19104, USA
| | - Ashley Chang
- Department of Surgery, University of Pennsylvania School of Medicine, 3400 Civic Center Boulevard, 14th Floor, South Pavilion, Philadelphia, PA, 19104, USA
| | - Austin Chang
- Department of Surgery, University of Pennsylvania School of Medicine, 3400 Civic Center Boulevard, 14th Floor, South Pavilion, Philadelphia, PA, 19104, USA
| | - Patrick Bou-Samra
- Department of Surgery, University of Pennsylvania School of Medicine, 3400 Civic Center Boulevard, 14th Floor, South Pavilion, Philadelphia, PA, 19104, USA
| | - Charuhas Desphande
- Department of Pathology, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Edward J Delikatny
- Department of Radiology, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Evgeniy Eruslanov
- Department of Surgery, University of Pennsylvania School of Medicine, 3400 Civic Center Boulevard, 14th Floor, South Pavilion, Philadelphia, PA, 19104, USA
| | - John C Kucharczuk
- Department of Surgery, University of Pennsylvania School of Medicine, 3400 Civic Center Boulevard, 14th Floor, South Pavilion, Philadelphia, PA, 19104, USA
| | - David C Rice
- Department of Surgery, MD Anderson Cancer Center, Houston, TX, USA
| | - Sunil Singhal
- Department of Surgery, University of Pennsylvania School of Medicine, 3400 Civic Center Boulevard, 14th Floor, South Pavilion, Philadelphia, PA, 19104, USA.
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Hassan MA, Weyers BW, Bec J, Fereidouni F, Qi J, Gui D, Bewley AF, Abouyared M, Farwell DG, Birkeland AC, Marcu L. Anatomy-Specific Classification Model Using Label-Free FLIm to Aid Intraoperative Surgical Guidance of Head and Neck Cancer. IEEE Trans Biomed Eng 2023; 70:2863-2873. [PMID: 37043314 PMCID: PMC10833893 DOI: 10.1109/tbme.2023.3266678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/13/2023]
Abstract
Intraoperative identification of head and neck cancer tissue is essential to achieve complete tumor resection and mitigate tumor recurrence. Mesoscopic fluorescence lifetime imaging (FLIm) of intrinsic tissue fluorophores emission has demonstrated the potential to demarcate the extent of the tumor in patients undergoing surgical procedures of the oral cavity and the oropharynx. Here, we report FLIm-based classification methods using standard machine learning models that account for the diverse anatomical and biochemical composition across the head and neck anatomy to improve tumor region identification. Three anatomy-specific binary classification models were developed (i.e., "base of tongue," "palatine tonsil," and "oral tongue"). FLIm data from patients (N = 85) undergoing upper aerodigestive oncologic surgery were used to train and validate the classification models using a leave-one-patient-out cross-validation method. These models were evaluated for two classification tasks: (1) to discriminate between healthy and cancer tissue, and (2) to apply the binary classification model trained on healthy and cancer to discriminate dysplasia through transfer learning. This approach achieved superior classification performance compared to models that are anatomy-agnostic; specifically, a ROC-AUC of 0.94 was for the first task and 0.92 for the second. Furthermore, the model demonstrated detection of dysplasia, highlighting the generalization of the FLIm-based classifier. Current findings demonstrate that a classifier that accounts for tumor location can improve the ability to accurately identify surgical margins and underscore FLIm's potential as a tool for surgical guidance in head and neck cancer patients, including those subjects of robotic surgery.
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Kumar BS. Recent Advances and Applications of Ambient Mass Spectrometry Imaging in Cancer Research: An Overview. Mass Spectrom (Tokyo) 2023; 12:A0129. [PMID: 37789912 PMCID: PMC10542858 DOI: 10.5702/massspectrometry.a0129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 08/25/2023] [Indexed: 10/05/2023] Open
Abstract
Cancer metabolic variability has a significant impact on both diagnosis and treatment outcomes. The discovery of novel biological indicators and metabolic dysregulation, can significantly rely on comprehension of the modified metabolism in cancer, is a research focus. Tissue histology is a critical feature in the diagnostic testing of many ailments, such as cancer. To assess the surgical margin of the tumour on patients, frozen section histology is a tedious, laborious, and typically arbitrary method. Concurrent monitoring of ion images in tissues facilitated by the latest advancements in mass spectrometry imaging (MSI) is far more efficient than optical tissue image analysis utilized in conventional histopathology examination. This article focuses on the "desorption electrospray ionization (DESI)-MSI" technique's most recent advancements and uses in cancer research. DESI-MSI can provide wealthy information based on the variances in metabolites and lipids in normal and cancerous tissues by acquiring ion images of the lipid and metabolite variances on biopsy samples. As opposed to a systematic review, this article offers a synopsis of the most widely employed cutting-edge DESI-MSI techniques in cancer research.
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Affiliation(s)
- Bharath S. Kumar
- Correspondence to: Bharath S. Kumar, 21, B2, 27th Street, Nanganallur, Chennai, India, e-mail:
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Martell MT, Haven NJM, Cikaluk BD, Restall BS, McAlister EA, Mittal R, Adam BA, Giannakopoulos N, Peiris L, Silverman S, Deschenes J, Li X, Zemp RJ. Deep learning-enabled realistic virtual histology with ultraviolet photoacoustic remote sensing microscopy. Nat Commun 2023; 14:5967. [PMID: 37749108 PMCID: PMC10519961 DOI: 10.1038/s41467-023-41574-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 09/11/2023] [Indexed: 09/27/2023] Open
Abstract
The goal of oncologic surgeries is complete tumor resection, yet positive margins are frequently found postoperatively using gold standard H&E-stained histology methods. Frozen section analysis is sometimes performed for rapid intraoperative margin evaluation, albeit with known inaccuracies. Here, we introduce a label-free histological imaging method based on an ultraviolet photoacoustic remote sensing and scattering microscope, combined with unsupervised deep learning using a cycle-consistent generative adversarial network for realistic virtual staining. Unstained tissues are scanned at rates of up to 7 mins/cm2, at resolution equivalent to 400x digital histopathology. Quantitative validation suggests strong concordance with conventional histology in benign and malignant prostate and breast tissues. In diagnostic utility studies we demonstrate a mean sensitivity and specificity of 0.96 and 0.91 in breast specimens, and respectively 0.87 and 0.94 in prostate specimens. We also find virtual stain quality is preferred (P = 0.03) compared to frozen section analysis in a blinded survey of pathologists.
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Affiliation(s)
- Matthew T Martell
- Department of Electrical and Computer Engineering, University of Alberta, 116 Street & 85 Avenue, Edmonton, AB, T6G 2R3, Canada
| | - Nathaniel J M Haven
- Department of Electrical and Computer Engineering, University of Alberta, 116 Street & 85 Avenue, Edmonton, AB, T6G 2R3, Canada
| | - Brendyn D Cikaluk
- Department of Electrical and Computer Engineering, University of Alberta, 116 Street & 85 Avenue, Edmonton, AB, T6G 2R3, Canada
| | - Brendon S Restall
- Department of Electrical and Computer Engineering, University of Alberta, 116 Street & 85 Avenue, Edmonton, AB, T6G 2R3, Canada
| | - Ewan A McAlister
- Department of Electrical and Computer Engineering, University of Alberta, 116 Street & 85 Avenue, Edmonton, AB, T6G 2R3, Canada
| | - Rohan Mittal
- Department of Laboratory Medicine and Pathology, University of Alberta, 11405 87 Avenue NW, Edmonton, AB, T6G 1C9, Canada
| | - Benjamin A Adam
- Department of Laboratory Medicine and Pathology, University of Alberta, 11405 87 Avenue NW, Edmonton, AB, T6G 1C9, Canada
| | - Nadia Giannakopoulos
- Department of Laboratory Medicine and Pathology, University of Alberta, 11405 87 Avenue NW, Edmonton, AB, T6G 1C9, Canada
| | - Lashan Peiris
- Department of Surgery, University of Alberta, 8440 - 112 Street, Edmonton, AB, T6G 2B7, Canada
| | - Sveta Silverman
- Department of Laboratory Medicine and Pathology, University of Alberta, 11405 87 Avenue NW, Edmonton, AB, T6G 1C9, Canada
| | - Jean Deschenes
- Department of Laboratory Medicine and Pathology, University of Alberta, 11405 87 Avenue NW, Edmonton, AB, T6G 1C9, Canada
| | - Xingyu Li
- Department of Electrical and Computer Engineering, University of Alberta, 116 Street & 85 Avenue, Edmonton, AB, T6G 2R3, Canada
| | - Roger J Zemp
- Department of Electrical and Computer Engineering, University of Alberta, 116 Street & 85 Avenue, Edmonton, AB, T6G 2R3, Canada.
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Nhàn NTT, Yamada T, Yamada KH. Peptide-Based Agents for Cancer Treatment: Current Applications and Future Directions. Int J Mol Sci 2023; 24:12931. [PMID: 37629112 PMCID: PMC10454368 DOI: 10.3390/ijms241612931] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 08/10/2023] [Accepted: 08/16/2023] [Indexed: 08/27/2023] Open
Abstract
Peptide-based strategies have received an enormous amount of attention because of their specificity and applicability. Their specificity and tumor-targeting ability are applied to diagnosis and treatment for cancer patients. In this review, we will summarize recent advancements and future perspectives on peptide-based strategies for cancer treatment. The literature search was conducted to identify relevant articles for peptide-based strategies for cancer treatment. It was performed using PubMed for articles in English until June 2023. Information on clinical trials was also obtained from ClinicalTrial.gov. Given that peptide-based strategies have several advantages such as targeted delivery to the diseased area, personalized designs, relatively small sizes, and simple production process, bioactive peptides having anti-cancer activities (anti-cancer peptides or ACPs) have been tested in pre-clinical settings and clinical trials. The capability of peptides for tumor targeting is essentially useful for peptide-drug conjugates (PDCs), diagnosis, and image-guided surgery. Immunomodulation with peptide vaccines has been extensively tested in clinical trials. Despite such advantages, FDA-approved peptide agents for solid cancer are still limited. This review will provide a detailed overview of current approaches, design strategies, routes of administration, and new technological advancements. We will highlight the success and limitations of peptide-based therapies for cancer treatment.
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Affiliation(s)
- Nguyễn Thị Thanh Nhàn
- Department of Pharmacology & Regenerative Medicine, University of Illinois College of Medicine, Chicago, IL 60612, USA;
| | - Tohru Yamada
- Department of Surgery, Division of Surgical Oncology, University of Illinois College of Medicine, Chicago, IL 60612, USA;
- Richard & Loan Hill Department of Biomedical Engineering, University of Illinois College of Engineering, Chicago, IL 60607, USA
| | - Kaori H. Yamada
- Department of Pharmacology & Regenerative Medicine, University of Illinois College of Medicine, Chicago, IL 60612, USA;
- Department of Ophthalmology & Visual Sciences, University of Illinois College of Medicine, Chicago, IL 60612, USA
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39
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de Wit JG, Vonk J, Voskuil FJ, de Visscher SAHJ, Schepman KP, Hooghiemstra WTR, Linssen MD, Elias SG, Halmos GB, Plaat BEC, Doff JJ, Rosenthal EL, Robinson D, van der Vegt B, Nagengast WB, van Dam GM, Witjes MJH. EGFR-targeted fluorescence molecular imaging for intraoperative margin assessment in oral cancer patients: a phase II trial. Nat Commun 2023; 14:4952. [PMID: 37587149 PMCID: PMC10432510 DOI: 10.1038/s41467-023-40324-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Accepted: 07/21/2023] [Indexed: 08/18/2023] Open
Abstract
Inadequate surgical margins occur frequently in oral squamous cell carcinoma surgery. Fluorescence molecular imaging (FMI) has been explored for intraoperative margin assessment, but data are limited to phase-I studies. In this single-arm phase-II study (NCT03134846), our primary endpoints were to determine the sensitivity, specificity and positive predictive value of cetuximab-800CW for tumor-positive margins detection. Secondary endpoints were safety, close margin detection rate and intrinsic cetuximab-800CW fluorescence. In 65 patients with 66 tumors, cetuximab-800CW was well-tolerated. Fluorescent spots identified in the surgical margin with signal-to-background ratios (SBR) of ≥2 identify tumor-positive margins with 100% sensitivity, 85.9% specificity, 58.3% positive predictive value, and 100% negative predictive value. An SBR of ≥1.5 identifies close margins with 70.3% sensitivity, 76.1% specificity, 60.5% positive predictive value, and 83.1% negative predictive value. Performing frozen section analysis aimed at the fluorescent spots with an SBR of ≥1.5 enables safe, intraoperative adjustment of surgical margins.
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Affiliation(s)
- Jaron G de Wit
- Department of Oral & Maxillofacial Surgery, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands
| | - Jasper Vonk
- Department of Oral & Maxillofacial Surgery, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands
| | - Floris J Voskuil
- Department of Oral & Maxillofacial Surgery, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands
- Department of Pathology & Medical Biology, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands
| | - Sebastiaan A H J de Visscher
- Department of Oral & Maxillofacial Surgery, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands
| | - Kees-Pieter Schepman
- Department of Oral & Maxillofacial Surgery, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands
| | - Wouter T R Hooghiemstra
- Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands
- Department of Gastroenterology and Hepatology, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands
| | - Matthijs D Linssen
- Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands
- Department of Gastroenterology and Hepatology, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands
| | - Sjoerd G Elias
- Department of Epidemiology, Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Gyorgy B Halmos
- Department of Otorhinolaryngology, Head and Neck Surgery, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands
| | - Boudewijn E C Plaat
- Department of Otorhinolaryngology, Head and Neck Surgery, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands
| | - Jan J Doff
- Department of Pathology & Medical Biology, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands
| | - Eben L Rosenthal
- Department of Otolaryngology, Vanderbilt University Medical Centre, Nashville, Tennessee, United States of America
| | - Dominic Robinson
- Center for Optical Diagnostics and Therapy, Department of Otorhinolaryngology and Head and Neck Surgery, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Bert van der Vegt
- Department of Pathology & Medical Biology, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands
| | - Wouter B Nagengast
- Department of Gastroenterology and Hepatology, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands
| | - Gooitzen M van Dam
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands
- TRACER Europe B.V. / AxelaRx, Groningen, the Netherlands
| | - Max J H Witjes
- Department of Oral & Maxillofacial Surgery, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands.
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40
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Prasad K, Miller A, Sharif K, Colazo JM, Ye W, Necker F, Baik F, Lewis JS, Rosenthal E, Wu JY, Topf MC. Augmented-Reality Surgery to Guide Head and Neck Cancer Re-resection: A Feasibility and Accuracy Study. Ann Surg Oncol 2023; 30:4994-5000. [PMID: 37133570 DOI: 10.1245/s10434-023-13532-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 04/03/2023] [Indexed: 05/04/2023]
Abstract
BACKGROUND Given the complex three-dimensional (3D) anatomy of head and neck cancer specimens, head and neck surgeons often have difficulty relocating the site of an initial positive margin to perform re-resection. This cadaveric study aimed to determine the feasibility and accuracy of augmented reality surgery to guide head and neck cancer re-resections. METHODS This study investigated three cadaveric specimens. The head and neck resection specimen was 3D scanned and exported to the HoloLens augmented reality environment. The surgeon manually aligned the 3D specimen hologram into the resection bed. Accuracy of manual alignment and time intervals throughout the protocol were recorded. RESULTS The 20 head and neck cancer resections performed in this study included 13 cutaneous and 7 oral cavity resections. The mean relocation error was 4 mm (range, 1-15 mm) with a standard deviation of 3.9 mm. The mean overall protocol time, from the start of 3D scanning to alignment into the resection bed, was 25.3 ± 8.9 min (range, 13.2-43.2 min). Relocation error did not differ significantly when stratified by greatest dimension of the specimen. The mean relocation error of complex oral cavity composite specimens (maxillectomy and mandibulectomy) differed significantly from that of all the other specimen types (10.7 vs 2.8; p < 0.01). CONCLUSIONS This cadaveric study demonstrated the feasibility and accuracy of augmented reality to guide re-resection of initial positive margins in head and neck cancer surgery.
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Affiliation(s)
- Kavita Prasad
- Department of Otolaryngology-Head and Neck Surgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Alexis Miller
- Department of Otolaryngology-Head and Neck Surgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Kayvon Sharif
- School of Medicine, Vanderbilt University, Nashville, TN, USA
| | - Juan M Colazo
- School of Medicine, Vanderbilt University, Nashville, TN, USA
| | - Wenda Ye
- Department of Otolaryngology-Head and Neck Surgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Fabian Necker
- Institute for Functional and Clinical Anatomy, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany
| | - Fred Baik
- Department of Otolaryngology-Head and Neck Surgery, Stanford University, Palo Alto, CA, USA
| | - James S Lewis
- Department of Otolaryngology-Head and Neck Surgery, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Eben Rosenthal
- Department of Otolaryngology-Head and Neck Surgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | - Michael C Topf
- Department of Otolaryngology-Head and Neck Surgery, Vanderbilt University Medical Center, Nashville, TN, USA.
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Sharif KF, Prasad K, Miller A, McPeak S, Denney JE, Lewis JS, Topf MC. Enhanced Intraoperative Communication of Tumor Margins Using 3D Scanning and Mapping: The Computer-Aided Design Margin. Laryngoscope 2023; 133:1914-1918. [PMID: 36533659 PMCID: PMC10277314 DOI: 10.1002/lary.30511] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 11/11/2022] [Accepted: 11/19/2022] [Indexed: 12/23/2022]
Abstract
We have implemented a novel intraoperative communication system for head and neck surgical pathology using 3D scanning technology and computer-aided design (CAD) software. Here, we highlight our CAD margin protocol, in which we 3D scan head and neck oncologic surgical specimens and map frozen section results. This enhances the communication of margin status between surgeons and pathologists and delivers visual anatomic guidance for re-resection when needed. Laryngoscope, 133:1914-1918, 2023.
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Affiliation(s)
- Kayvon F Sharif
- Vanderbilt University School of Medicine, Nashville, Tennessee, U.S.A
| | - Kavita Prasad
- Dept. of Otolaryngology-Head & Neck Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, U.S.A
| | - Alexis Miller
- Dept. of Otolaryngology-Head & Neck Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, U.S.A
| | - Shira McPeak
- Dept. of Pathology, Microbiology & Immunology, Vanderbilt University Medical Center, Nashville, Tennessee, U.S.A
| | - J Elliott Denney
- Dept. of Pathology, Microbiology & Immunology, Vanderbilt University Medical Center, Nashville, Tennessee, U.S.A
| | - James S Lewis
- Dept. of Otolaryngology-Head & Neck Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, U.S.A
- Dept. of Pathology, Microbiology & Immunology, Vanderbilt University Medical Center, Nashville, Tennessee, U.S.A
| | - Michael C Topf
- Dept. of Otolaryngology-Head & Neck Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, U.S.A
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42
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Doussan AF, Lloyd S, Murphy EK, Halter RJ. Towards intraoperative surgical margin assessment: Validation of an electrical impedance-based probe with ex vivo bovine tissue. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2023; 2023:1-4. [PMID: 38083704 DOI: 10.1109/embc40787.2023.10340037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
Radical prostatectomy (RP) is a common surgical therapy to treat prostate cancer. The procedure has a high positive surgical margin (PSM) rate ranging from 4-48%. Patients with PSMs have a higher rate of cancer recurrence and often undergo noxious adjuvant therapy. Intraoperative surgical margin assessment (SMA) with an electrical impedance-based probe can potentially identify PSMs in real-time. This would enable surgeons to make data-based decisions in the operating room to improve patient outcomes. This paper focuses on characterizing an impedance sensing SMA probe with specialized electrodes to improve speed and bandwidth while maintaining accuracy. 3D electrical impedance tomography (EIT) reconstructions were generated from ex vivo bovine tissue to characterize probe imaging and to determine an optimal applied pressure range (15 Pa to 38 Pa). Classification accuracy of adipose and muscle tissue was evaluated by comparing the experimental data set to simulated data based on a ground truth binary map of the tissue. Experimental AUCs ≥0.83 were maintained up to 50 kHz. The developed impedance sensing probe successfully classified between muscle and adipose tissue in an ex vivo bovine model. Future work includes improving performance of the SMA probe with custom hardware and collecting data from ex vivo and in vivo prostatic tissues.Clinical Relevance-This technology is expected to reduce the rate of PSMs in RP and decrease the use of post-surgical adjuvant therapies. It is also anticipated that intraoperative impedance measurements will increase efficacy of nerve sparing procedures and reduce complications such as incontinence and erectile dysfunction.
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43
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Gao G, Miyasato D, Barner LA, Serafin R, Bishop KW, Xie W, Glaser AK, Rosenthal EL, True LD, Liu JT. Comprehensive Surface Histology of Fresh Resection Margins With Rapid Open-Top Light-Sheet (OTLS) Microscopy. IEEE Trans Biomed Eng 2023; 70:2160-2171. [PMID: 37021859 PMCID: PMC10324671 DOI: 10.1109/tbme.2023.3237267] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
OBJECTIVE For tumor resections, margin status typically correlates with patient survival but positive margin rates are generally high (up to 45% for head and neck cancer). Frozen section analysis (FSA) is often used to intraoperatively assess the margins of excised tissue, but suffers from severe under-sampling of the actual margin surface, inferior image quality, slow turnaround, and tissue destructiveness. METHODS Here, we have developed an imaging workflow to generate en face histologic images of freshly excised surgical margin surfaces based on open-top light-sheet (OTLS) microscopy. Key innovations include (1) the ability to generate false-colored H&E-mimicking images of tissue surfaces stained for < 1 min with a single fluorophore, (2) rapid OTLS surface imaging at a rate of 15 min/cm2 followed by real-time post-processing of datasets within RAM at a rate of 5 min/cm2, and (3) rapid digital surface extraction to account for topological irregularities at the tissue surface. RESULTS In addition to the performance metrics listed above, we show that the image quality generated by our rapid surface-histology method approaches that of gold-standard archival histology. CONCLUSION OTLS microscopy has the feasibility to provide intraoperative guidance of surgical oncology procedures. SIGNIFICANCE The reported methods can potentially improve tumor-resection procedures, thereby improving patient outcomes and quality of life.
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Affiliation(s)
- Gan Gao
- Department of Mechanical Engineering, University of Washington, Seattle, WA, USA
| | - Dominie Miyasato
- Department of Mechanical Engineering, University of Washington, Seattle, WA, USA
| | - Lindsey A. Barner
- Department of Mechanical Engineering, University of Washington, Seattle, WA, USA
| | - Robert Serafin
- Department of Mechanical Engineering, University of Washington, Seattle, WA, USA
| | - Kevin W. Bishop
- Department of Mechanical Engineering, University of Washington, Seattle, WA, USA
- Department of Bioengineering, University of Washington, Seattle, WA, USA
| | - Weisi Xie
- Department of Mechanical Engineering, University of Washington, Seattle, WA, USA
| | - Adam K. Glaser
- Department of Mechanical Engineering, University of Washington, Seattle, WA, USA
- Allen Institute for Neural Dynamics, Seattle, WA, USA
| | - Eben L. Rosenthal
- Department of Otolaryngology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lawrence D. True
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
- Department of Urology, University of Washington, Seattle, WA, USA
| | - Jonathan T.C. Liu
- Department of Mechanical Engineering, University of Washington, Seattle, WA, USA
- Department of Bioengineering, University of Washington, Seattle, WA, USA
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
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44
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Torres VC, Hodge S, Levy JJ, Vaickus LJ, Chen EY, LeBouef M, Samkoe KS. Paired-agent imaging as a rapid en face margin screening method in Mohs micrographic surgery. Front Oncol 2023; 13:1196517. [PMID: 37427140 PMCID: PMC10325620 DOI: 10.3389/fonc.2023.1196517] [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: 03/29/2023] [Accepted: 06/05/2023] [Indexed: 07/11/2023] Open
Abstract
Background Mohs micrographic surgery is a procedure used for non-melanoma skin cancers that has 97-99% cure rates largely owing to 100% margin analysis enabled by en face sectioning with real-time, iterative histologic assessment. However, the technique is limited to small and aggressive tumors in high-risk areas because the histopathological preparation and assessment is very time intensive. To address this, paired-agent imaging (PAI) can be used to rapidly screen excised specimens and identify tumor positive margins for guided and more efficient microscopic evaluation. Methods A mouse xenograft model of human squamous cell carcinoma (n = 8 mice, 13 tumors) underwent PAI. Targeted (ABY-029, anti-epidermal growth factor receptor (EGFR) affibody molecule) and untargeted (IRDye 680LT carboxylate) imaging agents were simultaneously injected 3-4 h prior to surgical tumor resection. Fluorescence imaging was performed on main, unprocessed excised specimens and en face margins (tissue sections tangential to the deep margin surface). Binding potential (BP) - a quantity proportional to receptor concentration - and targeted fluorescence signal were measured for each, and respective mean and maximum values were analyzed to compare diagnostic ability and contrast. The BP and targeted fluorescence of the main specimen and margin samples were also correlated with EGFR immunohistochemistry (IHC). Results PAI consistently outperformed targeted fluorescence alone in terms of diagnostic ability and contrast-to-variance ratio (CVR). Mean and maximum measures of BP resulted in 100% accuracy, while mean and maximum targeted fluorescence signal offered 97% and 98% accuracy, respectively. Moreover, maximum BP had the greatest average CVR for both main specimen and margin samples (average 1.7 ± 0.4 times improvement over other measures). Fresh tissue margin imaging improved similarity with EGFR IHC volume estimates compared to main specimen imaging in line profile analysis; and margin BP specifically had the strongest concordance (average 3.6 ± 2.2 times improvement over other measures). Conclusions PAI was able to reliably distinguish tumor from normal tissue in fresh en face margin samples using the single metric of maximum BP. This demonstrated the potential for PAI to act as a highly sensitive screening tool to eliminate the extra time wasted on real-time pathological assessment of low-risk margins.
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Affiliation(s)
- Veronica C. Torres
- Thayer School of Engineering, Dartmouth College, Hanover, NH, United States
| | - Sassan Hodge
- Thayer School of Engineering, Dartmouth College, Hanover, NH, United States
| | - Joshua J. Levy
- Geisel School of Medicine, Dartmouth College, Hanover, NH, United States
- Department of Pathology and Laboratory Medicine, Dartmouth Hitchcock Medical Center, Lebanon, NH, United States
- Department of Dermatology, Dartmouth Hitchcock Medical Center, Lebanon, NH, United States
- Quantitative Biomedical Sciences, Geisel School of Medicine, Dartmouth College, Hanover, NH, United States
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Hanover, NH, United States
| | - Louis J. Vaickus
- Department of Pathology and Laboratory Medicine, Dartmouth Hitchcock Medical Center, Lebanon, NH, United States
| | - Eunice Y. Chen
- Geisel School of Medicine, Dartmouth College, Hanover, NH, United States
- Department of Surgery, Dartmouth Hitchcock Medical Center, Lebanon, NH, United States
| | - Matthew LeBouef
- Geisel School of Medicine, Dartmouth College, Hanover, NH, United States
- Department of Dermatology, Dartmouth Hitchcock Medical Center, Lebanon, NH, United States
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King ME, Lin M, Spradlin M, Eberlin LS. Advances and Emerging Medical Applications of Direct Mass Spectrometry Technologies for Tissue Analysis. ANNUAL REVIEW OF ANALYTICAL CHEMISTRY (PALO ALTO, CALIF.) 2023; 16:1-25. [PMID: 36944233 DOI: 10.1146/annurev-anchem-061020-015544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Offering superb speed, chemical specificity, and analytical sensitivity, direct mass spectrometry (MS) technologies are highly amenable for the molecular analysis of complex tissues to aid in disease characterization and help identify new diagnostic, prognostic, and predictive markers. By enabling detection of clinically actionable molecular profiles from tissues and cells, direct MS technologies have the potential to guide treatment decisions and transform sample analysis within clinical workflows. In this review, we highlight recent health-related developments and applications of direct MS technologies that exhibit tangible potential to accelerate clinical research and disease diagnosis, including oncological and neurodegenerative diseases and microbial infections. We focus primarily on applications that employ direct MS technologies for tissue analysis, including MS imaging technologies to map spatial distributions of molecules in situ as well as handheld devices for rapid in vivo and ex vivo tissue analysis.
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Affiliation(s)
- Mary E King
- Department of Chemistry, The University of Texas at Austin, Austin, Texas, USA;
- Department of Surgery, Baylor College of Medicine, Houston, Texas, USA;
| | - Monica Lin
- Department of Chemistry, The University of Texas at Austin, Austin, Texas, USA;
| | - Meredith Spradlin
- Department of Chemistry, The University of Texas at Austin, Austin, Texas, USA;
| | - Livia S Eberlin
- Department of Surgery, Baylor College of Medicine, Houston, Texas, USA;
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46
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Eivary SHA, Kheder RK, Najmaldin SK, Kheradmand N, Esmaeili SA, Hajavi J. Implications of IL-21 in solid tumor therapy. Med Oncol 2023; 40:191. [PMID: 37249661 DOI: 10.1007/s12032-023-02051-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 05/08/2023] [Indexed: 05/31/2023]
Abstract
Cancer, the most deadly disease, is known as a recent dilemma worldwide. Presently different treatments are used for curing cancers, especially solid cancers. Because of the immune-enhancing functions of cytokine, IL-21 as a cytokine may have new possibilities to manipulate the immune system in disease conditions, as it stimulates NK and CTL functions and drives IgG antibody production. Indeed, IL-21 has been revealed to elicit antitumor-immune responses in several tumor models. Combining IL-21 with other agents, which target tumor cells, immune-regulatory circuits, or other immune-enhancing molecules enhances this activity. The exciting breakthrough in the results obtained in pre-clinical situations has led to the early outset of present developing clinical trials in cancer patients. In the paper, we have reviewed the function of IL-21 in solid tumor immunotherapy.
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Affiliation(s)
- Seyed Hossein Abtahi Eivary
- Department of Medical Sciences of Laboratory, Infectious Diseases Research Center, School of Para-Medicine, Gonabad University of Medical Sciences, Gonabad, Iran
| | - Ramiar Kamal Kheder
- Medical Laboratory Science Department, College of Science, University of Raparin, Rania, Sulaymaniyah, Iraq
| | - Soran K Najmaldin
- Department of Medical Analysis, Faculty of Applied Science, Tishk International University, Erbil, Iraq
| | - Nahid Kheradmand
- Department of Medical Genetics and Molecular Medicine, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Seyed-Alireza Esmaeili
- Immunology Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
- Immunology Department, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
| | - Jafar Hajavi
- Department of Basic Sciences, Faculty of Medicine, Infectious Diseases Research Center, Gonabad University of Medical Science, Gonabad, Iran.
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47
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Faucher F, Liu KJ, Cosco ED, Widen JC, Sorger J, Guerra M, Bogyo M. Protease Activated Probes for Real-Time Ratiometric Imaging of Solid Tumors. ACS CENTRAL SCIENCE 2023; 9:1059-1069. [PMID: 37252358 PMCID: PMC10214504 DOI: 10.1021/acscentsci.3c00261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Indexed: 05/31/2023]
Abstract
Surgery is the preferred treatment option for most solid tumors. However, inaccurate detection of cancer borders leads to either incomplete removal of malignant cells or excess excision of healthy tissue. While fluorescent contrast agents and imaging systems improve tumor visualization, they can suffer from low signal-to-background and are prone to technical artifacts. Ratiometric imaging has the potential to eliminate many of these issues such as uneven probe distribution, tissue autofluorescence, and changes in positioning of the light source. Here, we describe a strategy to convert quenched fluorescent probes into ratiometric contrast agents. Conversion of the cathepsin-activated probe, 6QC-Cy5, into a two-fluorophore probe, 6QC-RATIO, significantly improved signal-to-background in vitro and in a mouse subcutaneous breast tumor model. Tumor detection sensitivity was further enhanced using a dual-substrate AND-gate ratiometric probe, Death-Cat-RATIO, that fluoresces only after orthogonal processing by multiple tumor-specific proteases. We also designed and built a modular camera system that was coupled to the FDA-approved da Vinci Xi robot, to enable real-time imaging of ratiometric signals at video frame rates compatible with surgical workflows. Our results demonstrate that ratiometric camera systems and imaging probes have the potential to be clinically implemented to improve surgical resection of many types of cancer.
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Affiliation(s)
- Franco
F. Faucher
- Department
of Chemistry, Stanford University, Stanford, California 94305, United States
| | - Kevin J. Liu
- Program
in Cancer Biology, Stanford University School
of Medicine, Stanford, California 94305 United States
| | - Emily D. Cosco
- Department
of Pathology, Stanford University School
of Medicine, Stanford, California 94305, United States
| | - John C. Widen
- Department
of Pathology, Stanford University School
of Medicine, Stanford, California 94305, United States
| | - Jonathan Sorger
- Intuitive
Surgical Inc., Sunnyvale, California 94086, United States
| | - Matteo Guerra
- Department
of Pathology, Stanford University School
of Medicine, Stanford, California 94305, United States
| | - Matthew Bogyo
- Department
of Pathology, Stanford University School
of Medicine, Stanford, California 94305, United States
- Department
of Chemical and Systems Biology, Stanford
University School of Medicine, Stanford, California 94305, United States
- Department
of Microbiology and Immunology, Stanford
University School of Medicine, Stanford, California 94305, United States
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48
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Bortot B, Mangogna A, Di Lorenzo G, Stabile G, Ricci G, Biffi S. Image-guided cancer surgery: a narrative review on imaging modalities and emerging nanotechnology strategies. J Nanobiotechnology 2023; 21:155. [PMID: 37202750 DOI: 10.1186/s12951-023-01926-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 05/11/2023] [Indexed: 05/20/2023] Open
Abstract
Surgical resection is the cornerstone of solid tumour treatment. Current techniques for evaluating margin statuses, such as frozen section, imprint cytology, and intraoperative ultrasound, are helpful. However, an intraoperative assessment of tumour margins that is accurate and safe is clinically necessary. Positive surgical margins (PSM) have a well-documented negative effect on treatment outcomes and survival. As a result, surgical tumour imaging methods are now a practical method for reducing PSM rates and improving the efficiency of debulking surgery. Because of their unique characteristics, nanoparticles can function as contrast agents in image-guided surgery. While most image-guided surgical applications utilizing nanotechnology are now in the preclinical stage, some are beginning to reach the clinical phase. Here, we list the various imaging techniques used in image-guided surgery, such as optical imaging, ultrasound, computed tomography, magnetic resonance imaging, nuclear medicine imaging, and the most current developments in the potential of nanotechnology to detect surgical malignancies. In the coming years, we will see the evolution of nanoparticles tailored to specific tumour types and the introduction of surgical equipment to improve resection accuracy. Although the promise of nanotechnology for producing exogenous molecular contrast agents has been clearly demonstrated, much work remains to be done to put it into practice.
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Affiliation(s)
- Barbara Bortot
- Obstetrics and Gynecology, Institute for Maternal and Child Health, IRCCS Burlo Garofolo, Trieste, Italy
| | - Alessandro Mangogna
- Obstetrics and Gynecology, Institute for Maternal and Child Health, IRCCS Burlo Garofolo, Trieste, Italy
| | - Giovanni Di Lorenzo
- Obstetrics and Gynecology, Institute for Maternal and Child Health, IRCCS Burlo Garofolo, Trieste, Italy
| | - Guglielmo Stabile
- Obstetrics and Gynecology, Institute for Maternal and Child Health, IRCCS Burlo Garofolo, Trieste, Italy
| | - Giuseppe Ricci
- Obstetrics and Gynecology, Institute for Maternal and Child Health, IRCCS Burlo Garofolo, Trieste, Italy
- Department of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, Italy
| | - Stefania Biffi
- Obstetrics and Gynecology, Institute for Maternal and Child Health, IRCCS Burlo Garofolo, Trieste, Italy.
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Verhoeven M, Handula M, van den Brink L, de Ridder CMA, Stuurman DC, Seimbille Y, Dalm SU. Pre- and Intraoperative Visualization of GRPR-Expressing Solid Tumors: Preclinical Profiling of Novel Dual-Modality Probes for Nuclear and Fluorescence Imaging. Cancers (Basel) 2023; 15:cancers15072161. [PMID: 37046825 PMCID: PMC10093582 DOI: 10.3390/cancers15072161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Revised: 02/21/2023] [Accepted: 04/04/2023] [Indexed: 04/08/2023] Open
Abstract
Image-guided surgery using a gastrin-releasing peptide receptor (GRPR)-targeting dual-modality probe could improve the accuracy of the resection of various solid tumors. The aim of this study was to further characterize our four previously developed GRPR-targeting dual-modality probes that vary in linker structures and were labeled with indium-111 and sulfo-cyanine 5. Cell uptake studies with GRPR-positive PC-3 cells and GRPR-negative NCI-H69 cells confirmed receptor specificity. Imaging and biodistribution studies at 4 and 24 h with 20 MBq/1 nmol [111In]In-12-15 were performed in nude mice bearing a PC-3 and NCI-H69 xenograft, and showed that the probe with only a pADA linker in the backbone had the highest tumor-to-organ ratios (T/O) at 24 h after injection (T/O > 5 for, e.g., prostate, muscle and blood). For this probe, a dose optimization study with three doses (0.75, 1.25 and 1.75 nmol; 20 MBq) revealed that the maximum image contrast was achieved with the lowest dose. Subsequently, the probe was successfully used for tumor excision in a simulated image-guided surgery setting. Moreover, it demonstrated binding to tissue sections of human prostate, breast and gastro-intestinal stromal tumors. In summary, our findings demonstrate that the developed dual-modality probe has the potential to aid in the complete surgical removal of GRPR-positive tumors.
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Affiliation(s)
- Marjolein Verhoeven
- Department of Radiology and Nuclear Medicine, Erasmus Medical Center, University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands
| | - Maryana Handula
- Department of Radiology and Nuclear Medicine, Erasmus Medical Center, University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands
| | - Lilian van den Brink
- Department of Radiology and Nuclear Medicine, Erasmus Medical Center, University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands
| | - Corrina M. A. de Ridder
- Department of Experimental Urology, Erasmus Medical Center, University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands
| | - Debra C. Stuurman
- Department of Radiology and Nuclear Medicine, Erasmus Medical Center, University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands
| | - Yann Seimbille
- Department of Radiology and Nuclear Medicine, Erasmus Medical Center, University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands
- Life Sciences Division, TRIUMF, Vancouver, BC V6T 2A3, Canada
| | - Simone U. Dalm
- Department of Radiology and Nuclear Medicine, Erasmus Medical Center, University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands
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Banoub RG, Crippen MM, Fiorella MA, Ross HM, Sagalow ES, Bar-Ad V, Cohen D, Gargano SM, Tuluc M, Selman Y, Goldman R, Cottrill E, Luginbuhl A, Fundakowski C, Mady LJ, Cognetti D, Topf MC, Curry JM. Variance in 3D anatomic localization of surgical margins based on conventional margin labeling in head and neck squamous cell carcinoma. Oral Oncol 2023; 139:106360. [PMID: 36924699 PMCID: PMC10947562 DOI: 10.1016/j.oraloncology.2023.106360] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 01/31/2023] [Accepted: 02/28/2023] [Indexed: 03/15/2023]
Abstract
OBJECTIVE In head and neck cancer (HNC), positive margins are strongly predictive of treatment failure. We sought to measure the accuracy of localization of margin sampling sites based on conventional anatomic labels using a digital 3D-model. METHODS Preoperative CT scans for 9 patients with HNC treated operatively at our institution were imported into a multiplanar radiology software, which was used to render a digital 3D model of each tumor intended to represent the resection specimen. Surgical margin labels recorded during the operative case were collected from pathology records. Margin labels (N = 64) were presented to participating physicians.Participants were asked to mark the anatomic location of each surgical margin using the 3D-model and corresponding radiographic planes for reference.For each individual margin, the 3D coordinates of each participant's marker were used to calculate a mean localization point called the geometric centroid. Mean distance from individual markers to the centroid was compared between participantsand margin types. RESULTS Amongst 7 surgeons, markers were placed a mean distance of 12.6 mm ([SD] = 7.5) from the centroid.Deep margins were marked with a greater mean distance than mucosal/skin margins (19.6 [24.8] mm vs. 15.3 [14.9] mm, p = 0.034). When asked to relocate a margin following re-resection, surgeons marked a point an average of 20.6 [12.4] mm from their first marker with a range of 3.9- 45.1 mm. CONCLUSIONS Retrospective localization of conventionally labeled margins is an imprecise process with variability across the care team. Future interventions targeting margin documentation and communication may improve sampling precision.
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Affiliation(s)
- Raphael G Banoub
- Department of Otolaryngology - Head & Neck Surgery, Thomas Jefferson University Hospital, Philadelphia, PA, United States
| | - Meghan M Crippen
- Department of Otolaryngology - Head & Neck Surgery, Thomas Jefferson University Hospital, Philadelphia, PA, United States
| | - Michele A Fiorella
- Department of Otolaryngology - Head & Neck Surgery, Thomas Jefferson University Hospital, Philadelphia, PA, United States
| | - Heather M Ross
- Department of Otolaryngology - Head & Neck Surgery, Thomas Jefferson University Hospital, Philadelphia, PA, United States
| | - Emily S Sagalow
- Department of Otolaryngology - Head & Neck Surgery, Thomas Jefferson University Hospital, Philadelphia, PA, United States
| | - Voichita Bar-Ad
- Department of Radiation Oncology, Thomas Jefferson University Hospital, Philadelphia, PA, United States
| | - Dane Cohen
- Department of Radiation Oncology, Thomas Jefferson University Hospital, Philadelphia, PA, United States
| | - Stacey M Gargano
- Department of Pathology, Thomas Jefferson University Hospital, Philadelphia, PA, United States
| | - Madalina Tuluc
- Department of Pathology, Thomas Jefferson University Hospital, Philadelphia, PA, United States
| | - Yamil Selman
- Department of Otolaryngology - Head & Neck Surgery, Thomas Jefferson University Hospital, Philadelphia, PA, United States
| | - Richard Goldman
- Department of Otolaryngology - Head & Neck Surgery, Thomas Jefferson University Hospital, Philadelphia, PA, United States
| | - Elizabeth Cottrill
- Department of Otolaryngology - Head & Neck Surgery, Thomas Jefferson University Hospital, Philadelphia, PA, United States
| | - Adam Luginbuhl
- Department of Otolaryngology - Head & Neck Surgery, Thomas Jefferson University Hospital, Philadelphia, PA, United States
| | - Christopher Fundakowski
- Department of Otolaryngology - Head & Neck Surgery, Thomas Jefferson University Hospital, Philadelphia, PA, United States
| | - Leila J Mady
- Department of Otolaryngology - Head & Neck Surgery, Thomas Jefferson University Hospital, Philadelphia, PA, United States
| | - David Cognetti
- Department of Otolaryngology - Head & Neck Surgery, Thomas Jefferson University Hospital, Philadelphia, PA, United States
| | - Michael C Topf
- Department of Otolaryngology - Head & Neck Surgery, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Joseph M Curry
- Department of Otolaryngology - Head & Neck Surgery, Thomas Jefferson University Hospital, Philadelphia, PA, United States
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