Molybdenum target mammography-based prediction model for metastasis of axillary sentinel lymph node in early-stage breast cancer.

Sentinel lymph node (SLN) status is closely related to axillary lymph node metastasis in breast cancer. However, SLN biopsy has certain limitations due to invasiveness and diagnostic efficiency. This study aimed to develop a model to predict the risk of axillary SLN metastasis in early-stage breast cancer based on mammography, a noninvasive, cost-effective, and potential complementary way. Herein, 649 patients with early-stage breast cancer (cT1-T2) who received SLN biopsy were assigned to the training cohort (n = 487) and the validation cohort (n = 162). A prediction model based on specific characteristics of tumor mass in mammography was developed and validated with R software. The performance of model was evaluated by receiver operating characteristic curve, calibration plot, and decision curve analysis. Tumor margins, spicular structures, calcification, and tumor size were independent predictors of SLN metastasis (all P < .05). A nomogram showed a satisfactory performance with an AUC of 0.829 (95% CI = 0.792-0.865) in the training cohort and an AUC of 0.825 (95% CI = 0.763-0.888) in validation cohort. The consistency between model-predicted results and actual observations showed great Hosmer-Lemeshow goodness-of-fit (P = .104). Patients could benefit from clinical decisions guided by the present model within the threshold probabilities of 6% to 84%. The prediction model for axillary SLN metastasis showed satisfactory discrimination, calibration abilities, and wide clinical practicability. These findings suggest that our prediction model based on mammography characteristics is a reliable tool for predicting SLN metastasis in patients with early-stage breast cancer.

The importance of sentinel lymph node diagnostic biopsy from the lateral neck compartment in the surgical treatment of papillary thyroid cance.

OBJECTIVES: The aim of our study is to determine whether mapping the lymphatic drainage and diagnostic excision of lymph nodes from lateral neck compartment is able to detect ultrasound unknown metastases in this compartment early and thus favorably affect the prognosis of patients with papillary thyroid cancer (PTC). BACKGROUND: Lymph node involvement in the lateral neck compartment is seen in 30-60 % of patients with PTC at the time of diagnosis and affects the prognosis of patients in terms of disease recurrence. METHODS: From June 2012 to December 2016, 154 patients with no evidence of lateral nodal involvement on imaging studies were treated with total thyroidectomy and central comparment neck dissection. A volume of 0.2 ml of Patent Blue dye was applied in the upper half of the thyroid gland with subsequent exposure of lymphatic drainage in the lateral compartment and 2-3 sentinel lymph nodes (SLN) were removed for frozen section (Group 1). In case of metastatic involvement, a lateral comparment neck dissection was performed. The reference groups were composed of a set of patients without detected lymphatic drainage (Group 2) and a set of patients who underwent lateral compartment neck dissection for preoperatively detected metastases in the lymph nodes (Group 3). The biochemical, structural and overall persistence of the disease at the time of administration of adjuvant radioiodine ablation was evaluated. RESULTS: The SLN identification rate was 95.45 %. In Group 1, a total of 32 patients had a positive SLN. Out of these, 24 patients had positive SLNs based on the analysis of frozen section, while in 8 patients, the positive diagnosis was confirmed through definitive histology. The comparison of data from the entire follow-up period in all three groups of patients revealed statistically significant differences in persistence of disease, namely in favor of Group 1. The percentage of reoperations for persistence and recurrence of disease was significantly lowest in Group 1 (2.04 %) compared to Groups 2 and 3 (6.94 % and 45.45 % respectively). CONCLUSION: The method is safe and sensitive for detecting unknown lymph node metastases in the lateral neck compartment, and may facilitate a decision to perform accurate surgical treatment of patients with PTC (Tab. 4, Fig. 2, Ref. 38).

Breast MRI in patients after breast conserving surgery with sentinel node procedure using a superparamagnetic tracer.

BACKGROUND: A procedure for sentinel lymph node biopsy (SLNB) using superparamagnetic iron-oxide (SPIO) nanoparticles and intraoperative sentinel lymph node (SLN) detection was developed to overcome drawbacks associated with the current standard-of-care SLNB. However, residual SPIO nanoparticles can result in void artefacts at follow-up magnetic resonance imaging (MRI) scans. We present a grading protocol to quantitatively assess the severity of these artefacts and offer an option to minimise the impact of SPIO nanoparticles on diagnostic imaging. METHODS: Follow-up mammography and MRI of two patient groups after a magnetic SLNB were included in the study. They received a 2-mL subareolar dose of SPIO (high-dose, HD) or a 0.1-mL intratumoural dose of SPIO (low-dose, LD). Follow-up mammography and MRI after magnetic SLNB were acquired within 4 years after breast conserving surgery (BCS). Two radiologists with over 10-year experience in breast imaging assessed the images and analysed the void artefacts and their impact on diagnostic follow-up. RESULTS: A total of 19 patients were included (HD, n = 13; LD, n = 6). In the HD group, 9/13 patients displayed an artefact on T1-weighted images up to 3.6 years after the procedure, while no impact of the SPIO remnants was observed in the LD group. CONCLUSIONS: SLNB using a 2-mL subareolar dose of magnetic tracer in patients undergoing BCS resulted in residual artefacts in the breast in the majority of patients, which may hamper follow-up MRI. This can be avoided by using a 0.1-mL intratumoural dose.

Complementary role of 18F-FDG PET/CT for sentinel lymph node algorithm in endometrial cancer with high-risk factors for lymphatic metastasis.

OBJECTIVE: National Comprehensive Cancer Network (NCCN) sentinel lymph node (SLN) algorithm includes 'mandatory steps' for evaluating pelvic lymph nodes, but assessment of paraaortic area is left to surgeon's discretion. In this study, we aimed to investigate the complementary role of preoperative F-FDG PET/computed tomography (CT) scan in detecting pelvic and especially paraaortic lymphatic metastasis in endometrial cancer patients with high-risk factor(s) according to Mayo Clinic Criteria and underwent SLN algorithm. METHODS: Patients who underwent preoperative F-FDG PET/CT scan, intraoperative SLN algorithm followed by systematic lymphadenectomy (LND) and had at least one high-risk criterion for lymphatic metastasis were included in this study. F-FDG PET/CT and SLN algorithm were compared with final histopathological results of systematic LND. RESULTS: Thirty-eight patients were eligible for the study. Lymphatic metastasis was seen in 10 patients (26.3%). Four cases had paraaortic lymphatic metastases which were together with pelvic (n:2) or isolated (n:2) metastases. SLN algorithm was able to detect all pelvic lymph node metastases. However, isolated paraaortic metastases were diagnosed only by F-FDG PET/CT. In 76 hemipelvises, sensitivity and negative predictive value of SLN algorithm for diagnosis of pelvic nodal metastasis were 100%, while sensitivity, specificity, positive predictive value and negative predictive value of F-FDG PET/CT were 45.4, 95.3, 62.5 and 91.1%, respectively. CONCLUSIONS: Although SLN algorithm has an excellent diagnostic value for pelvic nodal metastasis, paraaortic metastasis might be underdiagnosed. F-FDG PET/CT may be a feasible tool to exclude paraaortic lymphatic metastasis in high-risk patients for lymphatic metastasis who will undergo SLN algorithm.

Sentinel Nodes Detection with Near-infrared Imaging in Gynecological Cancer Patients: Ushering in an Era of Precision Medicine.

BACKGROUND: The sentinel lymph node (SLN) biopsy procedure is a well-known method for identifying solid tumors such as breast cancer, vulvar cancer, and melanoma. In endometrial and cervical cancer, SLN has recently gained acceptance. OBJECTIVES: To evaluate the detection rate of SLN with an indocyanine green and near-infrared fluorescent imaging (ICG/NIR) integrated laparoscopic system in clinically uterine-confined endometrial or cervical cancer. METHODS: Patients with clinically early-stage endometrial or cervical cancer were included in this retrospective study. ICG was injected into the uterine cervix and an ICG/NIR integrated laparoscopic system was used during the surgeries. The National Comprehensive Cancer Network (NCCN) protocol was followed. SLN and/or suspicious lymph nodes were resected. Side-specific lymphadenectomy was performed when mapping was unsuccessful. Systematic lymphadenectomy was completed in patients with high-grade histology or deep myometrial invasion. Enhanced pathology using ultra-staging and immunohistochemistry were performed in all cases. RESULTS: We analyzed 46 eligible patients: 39 endometrial and 7 cervical cancers. Of these, 44 had at least one SLN (93.6%). In 41 patients (89%) we detected bilateral SLN, in 3 (7%) only unilateral, and in 2 (4%) none were detected. Seven patients presented with lymph node metastasis. All were detected by NCCN/SLN protocol. Of these cases, two were detected with only pathological ultra-staging. CONCLUSIONS: SLN mapping in endometrial and cervical cancer can easily be performed with a high detection rate by integrating ICG/NIR into a conventional laparoscopic system. Precision medicine in patients evaluated by SLN biopsy changes the way patients with endometrial or cervical cancer are managed.

Utilization of Indocyanine Green to Aid in Identifying Sentinel Lymph Nodes in Merkel Cell Cancer.

BACKGROUND: Merkel cell carcinoma (MCC) is a relatively rare skin cancer with high rates of regional lymph node involvement and metastatic spread. National Comprehensive Cancer Network guidelines recommend sentinel lymph node biopsy (SLNB) for staging purposes. The goal of this study is to report our experience utilizing indocyanine green (ICG) fluorescence-based technology to aid in SLNB detection in MCC. METHODS: Consecutive MCC patients who underwent SLNB with radioisotope lymphoscintigraphy, with intraoperative handheld gamma probe, and ICG-based fluorescence imaging from 2012 to 2017 were prospectively studied (Cohort A). A group of historical controls that underwent SLNB for MCC with radioisotope lymphoscintigraphy and vital blue dye (VBD) (lymphazurin or methylene blue dye) was also analyzed (Cohort B). RESULTS: Twenty-four consecutive patients underwent SLNB with lymphoscintigraphy and ICG-based fluorescence and 11 controls underwent SLNB with lymphoscintigraphy and VBD. The localization rate by node with VBD was 63.6% and ICG-based fluorescence was 94.8%. For two patients, a positive sentinel lymph node (SLN) was detected only by ICG-based fluorescence and the nodes were not detected by gamma probe and one patient's only positive node was identified via ICG fluorescence only. VBD or gamma probe did not identify any unique positive SLNs in either cohort B or either cohort, respectively. CONCLUSIONS: In this study, we indicate that ICG-based fluorescence is not only feasible to augment SLN identification, but it has a higher node localization rate as compared to blue dye and it was able to identify positive SLNs otherwise missed by gamma probe. This study suggests the importance of utilizing two modalities to augment SLN identification and that ICG-based fluorescence may be able to identify nodes that would have been otherwise missed by gamma probe. We will continue to follow these patients and enroll more patients in this prospective study to further determine the role that ICG-based fluorescence has in identifying sentinel lymph nodes in MCC.

Axillary Sentinel Lymph Nodes in Breast Cancer: Quantitative Evaluation at Dual-Energy CT.

Purpose To evaluate the diagnostic performance of quantitative parameters derived from dual-energy CT for the preoperative diagnosis of metastatic sentinel lymph nodes (SLNs) in participants with breast cancer. Materials and Methods For this prospective study, dual-phase contrast agent-enhanced CT was performed in female participants with breast cancer from June 2015 to December 2017. Quantitative dual-energy CT parameters and morphologic parameters were compared between metastatic and nonmetastatic SLNs. The quantitative parameters were fitted to univariable and multivariable logistic regression models. The diagnostic role of morphologic and quantitative parameters was analyzed by receiver operating characteristic curves and compared by using the McNemar test. Results This study included 193 female participants (mean age, 47.6 years ± 10.1; age range, 22-79 years). Quantitative dual-energy CT parameters including slope of the spectral Hounsfield unit curve (λHu) measured at both arterial and venous phases, normalized iodine concentration at both arterial and venous phase, and normalized effective atomic number at the venous phase were higher in metastatic than in nonmetastatic SLNs (P value range, ≤.001 to .031). Univariable and multivariable logistic regression analyses showed that venous phase λHu (in Hounsfield units per kiloelectron-volt) was the best single parameter for the detection of metastatic SLNs. The accuracy of the venous phase λHu for detecting metastatic SLNs was 90.5% on a per-lymph node basis and 87.0% on a per-patient basis. The accuracy and specificity at venous phase λHu was higher than their counterparts in the morphologic parameters (P < .001). Conclusion Dual-energy CT is a complementary means for the preoperative identification of sentinel lymph nodes metastases in participants with breast cancer. © RSNA, 2018 Online supplemental material is available for this article.

Near-Infrared II Dye-Protein Complex for Biomedical Imaging and Imaging-Guided Photothermal Therapy.

The development of novel biodegradable and nontoxic fluorophores that integrate diagnosis and therapy for effective cancer treatment has obtained tremendous attention in the past decades. In this report, water-soluble and biocompatible small-molecule near-infrared II (NIR-II) fluorescent dye H2a-4T complexed with fetal bovine serum (FBS) and Cetuximab proteins with excellent optical properties and targeting ability is prepared. High spatial and temporal resolution imaging of hind limb vasculature and the lymphatic system of living mice using H2a-4T@FBS complex is demonstrated in precise NIR-II imaging-guided sentinel lymph node surgery. More importantly, H2a-4T@Cetuximab complex not only exhibits a remarkable cell-killing ability but also achieves highly active tumor targeting efficiency for epidermal growth factor receptor, overexpressing colorectal cancer which is beneficial to in vivo NIR-II fluorescent imaging-guided photothermal therapy of colon tumors. To the best of our knowledge, it is the first time that the concept of light-harvesting complex is exploited for enhancing the NIR-II signals and photothermal energy conversion in molecule-protein complex theranostic agent, making them a promising candidate for future clinical applications in cancer theranostics.

Phase-Transition Nanodroplets for Real-Time Photoacoustic/Ultrasound Dual-Modality Imaging and Photothermal Therapy of Sentinel Lymph Node in Breast Cancer.

Pathological status of lymph nodes (LNs) plays a critical role in staging and treatment for the patients with breast cancer. Sentinel lymph node biopsy has become the standard method in determining pathological status of axillary LNs. Therefore, the determination of sentinel lymph nodes (SLNs) and therapy of metastatic LNs are highly desirable in clinic. Herein, an unprecedented carbon nanoparticles (CNs)-incorporated liquid-gas phase-transition nanodroplets (CNPs) with strong near-infrared (NIR) absorption, good biocompatibility, excellent photoacoustic (PA) and ultrasound (US) contrast, and high photothermal-conversion efficiency are reported in this study. Upon laser irradiation, liquid-gas phase transition of the CNPs has been demonstrated to provide excellent contrasts for PA/US dual-modality imaging both in vitro and in vivo. Additionally, the CNPs are capable of staining lymph nodes, which can contribute significantly to the identification of LNs with naked eyes. With increased laser energy, the CNPs exhibit the high performance in killing the breast cancer cells both in vitro and in vivo, due to the photothermal effect induced from the CNs within CNPs. These results suggest that the developed multifunctional phase-transition nanodroplets have high potential to act as the theranostic agents in both SLNs detection and therapy of metastatic LNs.