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Cai ZM, Li ZZ, Zhong NN, Cao LM, Xiao Y, Li JQ, Huo FY, Liu B, Xu C, Zhao Y, Rao L, Bu LL. Revolutionizing lymph node metastasis imaging: the role of drug delivery systems and future perspectives. J Nanobiotechnology 2024; 22:135. [PMID: 38553735 PMCID: PMC10979629 DOI: 10.1186/s12951-024-02408-5] [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] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 03/18/2024] [Indexed: 04/02/2024] Open
Abstract
The deployment of imaging examinations has evolved into a robust approach for the diagnosis of lymph node metastasis (LNM). The advancement of technology, coupled with the introduction of innovative imaging drugs, has led to the incorporation of an increasingly diverse array of imaging techniques into clinical practice. Nonetheless, conventional methods of administering imaging agents persist in presenting certain drawbacks and side effects. The employment of controlled drug delivery systems (DDSs) as a conduit for transporting imaging agents offers a promising solution to ameliorate these limitations intrinsic to metastatic lymph node (LN) imaging, thereby augmenting diagnostic precision. Within the scope of this review, we elucidate the historical context of LN imaging and encapsulate the frequently employed DDSs in conjunction with a variety of imaging techniques, specifically for metastatic LN imaging. Moreover, we engage in a discourse on the conceptualization and practical application of fusing diagnosis and treatment by employing DDSs. Finally, we venture into prospective applications of DDSs in the realm of LNM imaging and share our perspective on the potential trajectory of DDS development.
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Affiliation(s)
- Ze-Min Cai
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, 430072, China
| | - Zi-Zhan Li
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, 430072, China
| | - Nian-Nian Zhong
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, 430072, China
| | - Lei-Ming Cao
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, 430072, China
| | - Yao Xiao
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, 430072, China
| | - Jia-Qi Li
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, 430072, China
| | - Fang-Yi Huo
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, 430072, China
| | - Bing Liu
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, 430072, China
- Department of Oral & Maxillofacial Head Neck Oncology, School & Hospital of Stomatology, Wuhan University, Wuhan, 430079, Hubei, China
| | - Chun Xu
- School of Dentistry, The University of Queensland, Brisbane, QLD, 4066, Australia
| | - Yi Zhao
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, 430072, China
- Department of Prosthodontics, School and Hospital of Stomatology, Wuhan University, Wuhan, China
| | - Lang Rao
- Institute of Biomedical Health Technology and Engineering, Shenzhen Bay Laboratory, Shenzhen, 518132, China.
| | - Lin-Lin Bu
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, 430072, China.
- Department of Oral & Maxillofacial Head Neck Oncology, School & Hospital of Stomatology, Wuhan University, Wuhan, 430079, Hubei, China.
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Mehta HJ, Tanner NT, Silvestri G, Simkovich SM, Shamblin C, Shaftman SR, Nietert PJ, Yang J. Outcome of patients with negative and unsatisfactory cytologic specimens obtained by endobronchial ultrasound-guided transbronchial fine-needle aspiration of mediastinal lymph nodes. Cancer Cytopathol 2014; 123:92-7. [PMID: 25186645 DOI: 10.1002/cncy.21482] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2014] [Revised: 07/25/2014] [Accepted: 08/13/2014] [Indexed: 12/25/2022]
Abstract
BACKGROUND Endobronchial ultrasound-guided transbronchial fine-needle aspiration (EBUS-FNA) has gained acceptance as the diagnostic procedure of choice with which to sample hilar and mediastinal lymph nodes (LNs) for diagnosing and staging patients with lung cancer. Studies have shown that EBUS has a high positive predictive value; however, its negative predictive value (NPV) varies significantly. The aim of the current study was to evaluate the clinical outcome surrounding negative and nondiagnostic EBUS-FNA of mediastinal LNs. METHODS A retrospective chart review of cases of EBUS-FNA performed between 2008 and the middle of 2011 was conducted. Mediastinal LNs with cytologic diagnoses of negative for malignant cells and unsatisfactory were selected for the study. Each LN was followed for up to 1 year with imaging or biopsy/surgical resection. A true-negative result was defined as a LN that did not enlarge on repeat imaging or was negative for malignancy on repeat biopsy or surgery during the follow-up period. RESULTS Among 1418 LNs sampled, 479 from 228 patients met the search criteria, including 394 LN (82.3%) with the cytologic diagnosis of negative for malignant cells and 85 (17.8%) with a diagnosis of unsatisfactory. A total of 104 patients (45.6%) were followed with imaging, and 124 patients (54.3%) underwent repeat biopsy/surgery. A total of 445 LNs met the definition of a true-negative finding, resulting in an overall NPV of 92.9% (95% confidence interval [95% CI], 90.6%-95.2%). The NPVs of a negative and unsatisfactory diagnosis were 93.9% (95% CI, 91.6%-96.3%) and 88.2% (95% CI, 81.4%-95.1%), respectively. CONCLUSIONS The vast majority of LNs with a cytologic diagnosis of negative and unsatisfactory were likely to be true-negative findings. In these patients, a more conservative approach to follow-up may be appropriate.
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Affiliation(s)
- Hiren J Mehta
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, University of Florida College of Medicine, Gainesville, Florida
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Xu L, Tian J, Liu Y, Li C. Accuracy of diffusion-weighted (DW) MRI with background signal suppression (MR-DWIBS) in diagnosis of mediastinal lymph node metastasis of nonsmall-cell lung cancer (NSCLC). J Magn Reson Imaging 2013; 40:200-5. [PMID: 24923480 DOI: 10.1002/jmri.24343] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2012] [Accepted: 07/18/2013] [Indexed: 11/07/2022] Open
Abstract
PURPOSE To prospectively evaluate the accuracy of diffusion-weighted (DW) magnetic resonance (MR) imaging with background signal suppression (MR-DWIBS) for detecting mediastinal lymph node metastasis of nonsmall-cell lung cancer (NSCLC). MATERIALS AND METHODS MR-DWIBS was performed in 42 consecutive patients (27 men, 15 women; age range, 42-78 years; median age, 55 years) with histologically proven NSCLC. The visualization rate of metastatic lymph node (MLN) and benign lymph node (BLN) of enlarged lymph nodes (ELN) and normal-sized lymph nodes (NLN) was compared by using a chi-square test or Fisher's exact test on a per-nodal basis. Apparent diffusion coefficient (ADC) of MLN and BLN was measured and compared by using two-tailed unpaired Student's t-test. Receiver operating characteristic (ROC) analysis was used to assess the overall diagnostic accuracy of ADC for ELN and NLN. The optimal cutoff value was determined and the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy was calculated. RESULTS Thirty-five out of 119 lymph resected nodes were confirmed to be metastatic by histologic examination. The visualization rate of MLN was significantly higher than that of BLN for ELN (P < 0.001) and for NLN (χ(2) = 7.506, P = 0.006). For both ELN and NLN, ADC of MLN was significantly lower than that of BLN (t = -5.380, P < 0.001 and t = -6.435, P < 0.001). ADC was significant for detection of MLN for both ELN (Az = 0.975, P < 0.001) and NLN (Az = 0.919, P < 0.001). For NLN, the optimal cutoff value of ADC was 2.04 mm(2)/s, where the sensitivity, specificity, PPV, NPV, and accuracy were 75.0%, 90.9%, 66.7%, 93.8%, and 87.8%, respectively. CONCLUSION MR-DWIBS may be clinically useful to visually detect mediastinal lymph nodes and ADC measurement can aid in malignant node discrimination.
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Affiliation(s)
- Liang Xu
- Department of Radiology, Shandong Cancer Hospital, Shandong Academy of Medical Sciences, Ji'nan, P.R. China
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Buchbender C, Herbrik M, Treffert J, Forsting M, Bockisch A, Antoch G, Heusner TA. Virtual 18F-FDG PET/CT bronchoscopy for lymph node staging in non-small-cell lung cancer patients: present and future applications. Expert Rev Med Devices 2012; 9:241-7. [PMID: 22702254 DOI: 10.1586/erd.12.9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Virtual (18)F-fluorodeoxyglucose (FDG) PET/computed tomography (CT) bronchoscopies provide virtually realistic, 3D endoscopic views of the airways combining anatomical and functional data at a high resolution. Today, even very small airways can be imaged by virtual bronchoscopy. (18)F-FDG PET/CT bronchoscopy images are generated from standard whole-body (18)F-FDG PET/CT scan source data without any additional radiation exposure. The purpose of this review was to give an overview over the studies that are currently available, to provide the technical background of (18)F-FDG PET/CT bronchoscopy and to explain the diagnostic accuracy of (18)F-FDG PET/CT bronchoscopy. Moreover, this manuscript highlights potential future applications of this promising new imaging technique.
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Affiliation(s)
- Christian Buchbender
- University of Dusseldorf, Medical Faculty, Department of Diagnostic and Interventional Radiology, D-40225 Dusseldorf, Germany
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Buchbender C, Treffert J, Lehnerdt G, Mattheis S, Geiger B, Bockisch A, Forsting M, Antoch G, Heusner TA. Virtual 3-D 18F-FDG PET/CT panendoscopy for assessment of the upper airways of head and neck cancer patients: a feasibility study. Eur J Nucl Med Mol Imaging 2012; 39:1435-40. [DOI: 10.1007/s00259-012-2152-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2012] [Accepted: 05/02/2012] [Indexed: 11/29/2022]
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