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Tian Y, Pang Y, Yang P, Guo S, Ma W, Guo H, Liu Y, Zhang Z, Ding P, Zheng T, Li Y, Fan L, Zhang Z, Wang D, Zhao X, Tan B, Liu Y, Zhao Q. Effect of carbon nanoparticle suspension injection versus indocyanine green tracer in guiding lymph node dissection during radical gastrectomy (FUTURE-01): a randomized clinical trial. Int J Surg 2025; 111:609-616. [PMID: 38954670 PMCID: PMC11745718 DOI: 10.1097/js9.0000000000001873] [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: 04/12/2024] [Accepted: 06/17/2024] [Indexed: 07/04/2024]
Abstract
BACKGROUND Carbon nanoparticle suspension injection (CNSI) and indocyanine green (ICG) have both been applied intraoperatively to facilitate lymphatic mapping and postoperatively to sort lymph nodes (LNs) in gastric cancer patients. However, no study has compared the two tracers in gastric cancer patients. MATERIALS AND METHODS This prospective randomized controlled trial was conducted from January 2022 to March 2023. Patients with potentially resectable gastric cancer (cT1-4a N0/+ M0) were randomized to the CNSI or ICG group. RESULTS This study enrolled 96 patients. Ninety patients were in the modified intention-to-treat population, including 46 patients [32 males and 14 females; mean (SD) age, 57.4 (9.4) years] in the CNSI group and 44 patients [31 males and 13 females; mean (SD) age, 60.8 (8.8) years] in the ICG group. The mean (SD) number of retrieved LNs was 69.8 (21.9) and 53.6 (17.2) in the CNSI and ICG groups, respectively ( P <0.001). The mean (SD) number of retrieved micro-LNs was 19.9 (13.3) and 11.6 (9.9) in the CNSI and ICG groups, respectively ( P =0.001). The mean (SD) number of metastatic LNs was 8.1 (11.9) and 5.2 (9.2) in the CNSI and ICG groups, respectively ( P =0.19). CONCLUSIONS Compared with ICG, CNSI can increase the number of LNs detected, especially micro-LNs. Both tracers have high diagnostic value for detecting metastatic LNs. CNSI-guided lymphography may be a superior method for improving the accuracy of LN dissection.
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Affiliation(s)
- Yuan Tian
- Third Surgery Department, The Fourth Hospital of Hebei Medical University
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer, Hebei Provincial Engineering Research Center
| | - Yue Pang
- Third Surgery Department, The Fourth Hospital of Hebei Medical University
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer, Hebei Provincial Engineering Research Center
| | - Peigang Yang
- Third Surgery Department, The Fourth Hospital of Hebei Medical University
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer, Hebei Provincial Engineering Research Center
| | - Shuo Guo
- Department of Endoscopy, The Fourth Hospital of Hebei Medical University, Shijiazhuang, People’s Republic of China
| | - Wenqian Ma
- Department of Endoscopy, The Fourth Hospital of Hebei Medical University, Shijiazhuang, People’s Republic of China
| | - Honghai Guo
- Third Surgery Department, The Fourth Hospital of Hebei Medical University
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer, Hebei Provincial Engineering Research Center
| | - Yang Liu
- Third Surgery Department, The Fourth Hospital of Hebei Medical University
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer, Hebei Provincial Engineering Research Center
| | - Ze Zhang
- Third Surgery Department, The Fourth Hospital of Hebei Medical University
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer, Hebei Provincial Engineering Research Center
| | - Pingan Ding
- Third Surgery Department, The Fourth Hospital of Hebei Medical University
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer, Hebei Provincial Engineering Research Center
| | - Tao Zheng
- Third Surgery Department, The Fourth Hospital of Hebei Medical University
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer, Hebei Provincial Engineering Research Center
| | - Yong Li
- Third Surgery Department, The Fourth Hospital of Hebei Medical University
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer, Hebei Provincial Engineering Research Center
| | - Liqiao Fan
- Third Surgery Department, The Fourth Hospital of Hebei Medical University
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer, Hebei Provincial Engineering Research Center
| | - Zhidong Zhang
- Third Surgery Department, The Fourth Hospital of Hebei Medical University
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer, Hebei Provincial Engineering Research Center
| | - Dong Wang
- Third Surgery Department, The Fourth Hospital of Hebei Medical University
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer, Hebei Provincial Engineering Research Center
| | - Xuefeng Zhao
- Third Surgery Department, The Fourth Hospital of Hebei Medical University
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer, Hebei Provincial Engineering Research Center
| | - Bibo Tan
- Third Surgery Department, The Fourth Hospital of Hebei Medical University
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer, Hebei Provincial Engineering Research Center
| | - Yu Liu
- Third Surgery Department, The Fourth Hospital of Hebei Medical University
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer, Hebei Provincial Engineering Research Center
| | - Qun Zhao
- Third Surgery Department, The Fourth Hospital of Hebei Medical University
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer, Hebei Provincial Engineering Research Center
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Chen W, Pang L, Jin X, Chen H, Huang J. Targeted axillary dissection using carbon marking for patients with node-positive breast cancer following neoadjuvant therapy (TADCOM): study protocol for a prospective, multicenter, randomized controlled trial. BMC Cancer 2024; 24:1276. [PMID: 39402559 PMCID: PMC11479563 DOI: 10.1186/s12885-024-13001-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2024] [Accepted: 09/27/2024] [Indexed: 10/19/2024] Open
Abstract
BACKGROUND Neoadjuvant chemotherapy (NAC) for breast cancer enables pathological complete response (pCR) in patients initially diagnosed with axillary lymph node metastases, potentially obviating the need for axillary lymph node dissection (ALND). Current targeted axillary dissection (TAD) techniques, guided by traditional tissue markers placed prior to NAC, face challenges such as marker loss and high costs. Carbon nanoparticle suspension injection (CNSI) offers a stable and reliable alternative for marking, which could enhance the TAD procedure. This study aims to evaluate the feasibility and accuracy of different TAD strategies using CNSIs and to explore their clinical utility in locally advanced breast cancer. METHODS This prospective, multicenter, randomized controlled trial will enroll 126 biopsy-proven breast cancer patients with suspicious axillary lymph node metastases (cN1-2a) who achieve ycN0 status following NAC. Participants will be randomized in a 1:1:1 ratio to undergo TAD guided by: [1] conventional tissue clips (CG-TAD); [2] CNSI lymph node marking (CN-LNM); or [3] peritumoral CNSI mapping (PCN-MAP). Primary endpoints include retrieval rate of marked lymph nodes, number of sentinel and marked lymph nodes, concordance rates, and complication rates. Secondary endpoints encompass regional and distant recurrence rates, survival outcomes, surgical duration, postoperative complications, quality of life scores, and margin status in breast-conserving surgery. Statistical analyses will adhere strictly to the CONSORT guidelines. DISCUSSION This study aims to evaluate the feasibility and accuracy of CNSI for targeted axillary dissection in breast cancer patients following neoadjuvant chemotherapy and to explore its clinical significance in reducing surgical complications and costs, as well as improving surgical precision. TRIAL REGISTRATION Clinicaltrials.gov, NCT04744506, Registered 27 December 2020, Updated 24 September 2024. Protocol Version Ver 1.2, 17/9/2024.
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Affiliation(s)
- Wuzhen Chen
- Department of Breast Surgery, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310008, Zhejiang, China.
- Key Laboratory of Tumor Microenvironment and Immune Therapy of Zhejiang Province, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
- Department of Oncology, Lanxi People's Hospital, Jinhua, Zhejiang, China.
| | - Liwei Pang
- Department of Breast Surgery, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310008, Zhejiang, China
- Key Laboratory of Tumor Microenvironment and Immune Therapy of Zhejiang Province, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Xiaoyan Jin
- Department of Surgical Oncology, Taizhou Municipal Hospital, Taizhou, Zhejiang, China
| | - Hailang Chen
- Department of Oncology, Lanxi People's Hospital, Jinhua, Zhejiang, China
| | - Jian Huang
- Department of Breast Surgery, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310008, Zhejiang, China.
- Key Laboratory of Tumor Microenvironment and Immune Therapy of Zhejiang Province, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
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Minareci Y, Sozen H, Altinkara Hacioglu B, Yuvanc HO, Topuz S, Salihoglu MY. Sentinel lymph node biopsy with carbon dye in endometrial cancer: a single center, prospective cohort study. Surg Endosc 2024; 38:1608-1616. [PMID: 38291161 PMCID: PMC10881722 DOI: 10.1007/s00464-023-10662-1] [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: 10/22/2023] [Accepted: 12/22/2023] [Indexed: 02/01/2024]
Abstract
BACKGROUND Many agents have been used for the detection of sentinel lymph nodes in endometrial cancer. Carbon dye, which has a strong staining ability and high contrast due to its dark black color, identifies the lymph nodes efficiently. Our aim was to evaluate the safety and efficacy of carbon dye for the detection of sentinel lymph nodes in endometrial cancer. METHODS We conducted a single-center, prospective, cohort study in 89 patients with early-stage endometrial cancer between September 2021 and August 2022. The procedure was performed under laparoscopy. RESULTS The sensitivity and negative predictive value of the sentinel lymph node biopsy (SLNB) with carbon dye injection were 83.3% and 98.8%, respectively. Mapping identified at least one sentinel lymph node in 84 patients (94.4%) on one pelvic side and at least one sentinel lymph node in 73 patients (82.0%) on each pelvic side out of 89 patients. In addition, no carbon dye-associated allergic reaction was detected. CONCLUSION Carbon dye is a non-allergenic, inexpensive, and effective agent for SLNB with a satisfying sensitivity and a negative predictive value. In addition, both unilateral and bilateral detection rates were sufficient. Accordingly, carbon dye may be a promising tracer and a considerable option, particularly for low-income countries.
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Affiliation(s)
- Yagmur Minareci
- Division of Gynecologic Oncology, Department of Gynecology and Obstetrics, Faculty of Medicine, Istanbul Medical Faculty, Istanbul University, Turgut Ozal Millet Cd, Monoblok Binasi, No:118, Zemin Kat, Jinekolojik Onkoloji Poliklinigi, Capa, Fatih, 34093, Istanbul, Turkey.
| | - Hamdullah Sozen
- Division of Gynecologic Oncology, Department of Gynecology and Obstetrics, Faculty of Medicine, Istanbul Medical Faculty, Istanbul University, Turgut Ozal Millet Cd, Monoblok Binasi, No:118, Zemin Kat, Jinekolojik Onkoloji Poliklinigi, Capa, Fatih, 34093, Istanbul, Turkey
| | | | - Huseyin Oguz Yuvanc
- Department of Gynecology and Obstetrics, Eskisehir City Hospital, Eskisehir, Turkey
| | - Samet Topuz
- Division of Gynecologic Oncology, Department of Gynecology and Obstetrics, Faculty of Medicine, Istanbul Medical Faculty, Istanbul University, Turgut Ozal Millet Cd, Monoblok Binasi, No:118, Zemin Kat, Jinekolojik Onkoloji Poliklinigi, Capa, Fatih, 34093, Istanbul, Turkey
| | - Mehmet Yavuz Salihoglu
- Division of Gynecologic Oncology, Department of Gynecology and Obstetrics, Faculty of Medicine, Istanbul Medical Faculty, Istanbul University, Turgut Ozal Millet Cd, Monoblok Binasi, No:118, Zemin Kat, Jinekolojik Onkoloji Poliklinigi, Capa, Fatih, 34093, Istanbul, Turkey
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Koimtzis G, Geropoulos G, Stefanopoulos L, Chalklin CG, Karniadakis I, Alexandrou V, Tteralli N, Carrington-Windo E, Papacharalampous A, Psarras K. The Role of Carbon Nanoparticles as Lymph Node Tracers in Colorectal Cancer: A Systematic Review and Meta-Analysis. Int J Mol Sci 2023; 24:15293. [PMID: 37894972 PMCID: PMC10607187 DOI: 10.3390/ijms242015293] [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: 08/02/2023] [Revised: 09/15/2023] [Accepted: 09/21/2023] [Indexed: 10/29/2023] Open
Abstract
Colorectal malignancies are the third-most common malignancies worldwide, with a rising incidence. Surgery remains the treatment of choice and adequate lymph node dissection is required for accurate staging. The objective of this study is to assess the use of carbon nanoparticles in lymph node tracing and resection in cases of colorectal cancer. For that purpose, we conducted a systematic review and meta-analysis of studies included in Medline, Scopus, Embase, Cochrane Library, and Google Scholar databases. In the end, ten studies with a total number of 1418 patients were included in the final statistical analysis. The meta-analysis carried out showed that the use of carbon nanoparticles results in an increased number of lymph nodes harvested (WMD 6.15, 95% CI 4.14 to 8.16, p < 0.001) and a higher rate of cases with more than 12 lymph nodes harvested (OR 9.57, 95% CI 2.87 to 31.96, p = 0.0002). As a consequence, we suggest that carbon nanoparticles are used on a wider scale and that future research focuses on assessing the association between their use and overall patient survival. This study is limited by the fact that all included studies originate from China and by the fact that certain oncologic parameters and long-term outcomes have not been taken into account in the analysis.
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Affiliation(s)
- Georgios Koimtzis
- Department of General Surgery, University Hospital of Wales, Cardiff and Vale University Health Board, Cardiff CF14 4XW, UK;
| | - Georgios Geropoulos
- Western General Hospital, NHS Lothian, Crewe Road South, Edinburgh EH4 2XU, UK;
| | - Leandros Stefanopoulos
- Department of Electrical and Computer Engineering, Northwestern University, 633 Clark St, Evanston, IL 60208, USA;
| | - Christopher Gwydion Chalklin
- Cardiff Transplant Unit, University Hospital of Wales, Cardiff and Vale University Health Board, Cardiff CF14 4XW, UK; (C.G.C.); (I.K.)
| | - Ioannis Karniadakis
- Cardiff Transplant Unit, University Hospital of Wales, Cardiff and Vale University Health Board, Cardiff CF14 4XW, UK; (C.G.C.); (I.K.)
| | - Vyron Alexandrou
- Urology Department, General Hospital of Thessaloniki “G. Gennimata-Agios Dimitrios”, Elenis Zografou 2, 54634 Thessaloniki, Greece;
| | - Nikos Tteralli
- Department of General Surgery, North Hampshire NHS Foundation Trust, Basingstoke RG24 9NA, UK;
| | - Eliot Carrington-Windo
- Department of General Surgery, Grange University Hospital, Caerleon Road, Llanfrechfa, Cwmbran NP44 8YN, UK;
| | | | - Kyriakos Psarras
- Second Surgical Propedeutic Department, School of Medicine, Ippokrateio General Hospital, Aristotle University of Thessaloniki, Konstantinoupoleos 49, 54642 Thessaloniki, Greece
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