Detection Of Metastatic Nodes Research Articles

Enhancements in Radiological Detection of Metastatic Lymph Nodes Utilizing AI-Assisted Ultrasound Imaging Data and the Lymph Node Reporting and Data System Scale.

The paper presents a novel approach for the automatic detection of neoplastic lesions in lymph nodes (LNs). It leverages the latest advances in machine learning (ML) with the LN Reporting and Data System (LN-RADS) scale. By integrating diverse datasets and network structures, the research investigates the effectiveness of ML algorithms in improving diagnostic accuracy and automation potential. Both Multinominal Logistic Regression (MLR)-integrated and fully connected neuron layers are included in the analysis. The methods were trained using three variants of combinations of histopathological data and LN-RADS scale labels to assess their utility. The findings demonstrate that the LN-RADS scale improves prediction accuracy. MLR integration is shown to achieve higher accuracy, while the fully connected neuron approach excels in AUC performance. All of the above suggests a possibility for significant improvement in the early detection and prognosis of cancer using AI techniques. The study underlines the importance of further exploration into combined datasets and network architectures, which could potentially lead to even greater improvements in the diagnostic process.

Detection of metastatic lymph node and sentinel lymph node mapping ​using mannose receptor targeting in in vivo mouse footpad tumor models and rabbit uterine cancer models.

This study aimed to evaluate the effectiveness of neo-mannosyl human serum albumin-indocyanine green (MSA-ICG) for detecting metastatic lymph node (LN) and mapping sentinel lymph node (SLN) using mouse footpad uterine tumor models. Additionally, the authors assessed the feasibility of MSA-ICG in SLN mapping in rabbit uterine cancer models. The authors compared the LN targeting ability of MSA-ICG with ICG. Six mouse footpad tumor models and two normal mice were each assigned to MSA-ICG and ICG, respectively. After the assigned tracers were injected, fluorescence images were taken, and the authors compared the signal-to-background ratio (SBR) of the tracers. A SLN biopsy was performed to confirm LN metastasis status and CD206 expression level. Finally, an intraoperative SLN biopsy was performed in rabbit uterine cancer models using MSA-ICG. The authors detected 14 groin LNs out of 16 in the MSA-ICG and ICG groups. The SBR of the MSA-ICG group was significantly higher than that of the ICG group. The metastatic LN subgroup of MSA-ICG showed a significantly higher SBR than that of ICG. CD206 was expressed at a high level in metastatic LN, and the signal intensity difference increased as the CD206 expression level increased. SLN mapping was successfully performed in two of the three rabbit uterine cancer models. MSA-ICG was able to distinguish metastatic LN for an extended period due to its specific tumor-associated macrophage-targeting property. Therefore, it may be a more distinguishable tracer for identifying metastatic LNs and SLNs during uterine cancer surgery. Further research is needed to confirm these results.

Magnetically guided surgery after primary systemic therapy for breast cancer: implications for enhanced axillary mapping.

Superparamagnetic iron nanoparticles perform comparably to radioisotope ± blue dye for sentinel lymph node detection in breast cancer, even when injected up to 8 weeks before surgery. Using superparamagnetic iron nanoparticles for sentinel lymph node detection after primary systemic therapy, and the maximum time frame of superparamagnetic iron nanoparticle administration have not been investigated. This cohort study included cN0/1-to-ycN0 patients undergoing sentinel lymph node detection or targeted axillary dissection. All patients received superparamagnetic iron nanoparticles either before primary systemic therapy or before surgery, and radioisotope on the day of surgery. For 113 patients analysed, superparamagnetic iron nanoparticles were injected a median of 3 (range 0-248) days before surgery, with a 97.4% detection rate compared with 91.2% for radioisotope (P = 0.057). Concordance for radioisotope was 97.1% and this was not affected by timing of superparamagnetic iron nanoparticle injection (Kendall's tau 0.027; P = 0.746). The median sentinel lymph node yield was 3 (interquartile range (i.q.r.) 2-3) for superparamagnetic iron nanoparticles and 2 (i.q.r. 2-3) for radioisotope (P < 0.001). In targeted axillary dissection, detection was 100% for superparamagnetic iron nanoparticles and 81.8% for radioisotope (P = 0.124). The index node was magnetic in 93.9% and radioactive in 66.7% (P = 0.007), an outcome that was not affected by any factors. For patients with metastases, superparamagnetic iron nanoparticle detection was 100% and radioisotope-based detection was 84.2% (P = 0.083), with superparamagnetic iron nanoparticles detecting more metastatic sentinel lymph nodes (median of 1 (i.q.r. 1-2) for superparamagnetic iron nanoparticles compared with a median of 1 (i.q.r. 0-1) for radioisotope; P = 0.005). Injection before primary systemic therapy is feasible and does not affect concordance with radioisotope. Superparamagnetic iron nanoparticles perform comparably to radioisotope, but detect more sentinel lymph nodes and have a higher rate of detection of metastatic sentinel lymph nodes.

Enhancing local recurrence detection in patients with high-grade soft tissue sarcoma: value of short-term Ultrasonography added to post-operative MRI surveillance

BackgroundLimited data exist on the optimal postoperative surveillance protocol for high-grade soft tissue sarcoma, particularly regarding the optimal imaging modality and imaging interval for detecting local recurrence. This study aimed to assess the benefit of short-term postoperative ultrasonography (USG) for detecting local recurrence in patients with high-grade soft tissue sarcoma.MethodsPatients with newly diagnosed high-grade soft tissue sarcoma who underwent surgical resection between January 2010 and June 2020 were included. Short-term USG was added to the follow-up protocol as a surveillance tool alongside routine magnetic resonance imaging (MRI). The primary outcome was the additional detection rate of short-term USG compared with routine MRI surveillance for early local recurrence detection. Subgroup analysis was performed to evaluate factors influencing USG detection rate. The additional detection rate of short-term USG for detection of metastatic lymph nodes was also evaluated. The secondary outcome was the false referral rate of short-term USG.ResultsIn total, 198 patients (mean age ± standard deviation: 52.1 ± 15.8 years; 94 women) were included. Local recurrence occurred in 20 patients (10.1%; 20/198). Short-term USG detected local recurrence in advance of routine MRI visits in 7 out of 198 patients, resulting in an additional detection rate of 3.5% (95% CI: 1.7–7.1%). Subgroup analysis showed no significant difference in the short-term USG detection rate based on initial tumor characteristics, and receipt of radiotherapy or chemotherapy. Short-term USG additionally detected five of seven patients with metastatic lymph nodes [2.5% (95% CI, 1.1–5.8%, 5/198)]. The false referral rate of short-term USG was 3.5% (95% CI: 1.7–7.1%; 7/198).ConclusionsShort-term USG as part of postoperative surveillance for high-grade soft tissue sarcoma can enhance early detection of local tumor recurrence and metastatic lymphadenopathy. Early detection of local tumor recurrence could lead to a prompt surgical resection and aid in local disease control.

Metastatic Lymph Node Detection on Ultrasound Images Using YOLOv7 in Patients with Head and Neck Squamous Cell Carcinoma.

Ultrasonography is the preferred modality for detailed evaluation of enlarged lymph nodes (LNs) identified on computed tomography and/or magnetic resonance imaging, owing to its high spatial resolution. However, the diagnostic performance of ultrasonography depends on the examiner's expertise. To support the ultrasonographic diagnosis, we developed YOLOv7-based deep learning models for metastatic LN detection on ultrasonography and compared their detection performance with that of highly experienced radiologists and less experienced residents. We enrolled 462 B- and D-mode ultrasound images of 261 metastatic and 279 non-metastatic histopathologically confirmed LNs from 126 patients with head and neck squamous cell carcinoma. The YOLOv7-based B- and D-mode models were optimized using B- and D-mode training and validation images and their detection performance for metastatic LNs was evaluated using B- and D-mode testing images, respectively. The D-mode model's performance was comparable to that of radiologists and superior to that of residents' reading of D-mode images, whereas the B-mode model's performance was higher than that of residents but lower than that of radiologists on B-mode images. Thus, YOLOv7-based B- and D-mode models can assist less experienced residents in ultrasonographic diagnoses. The D-mode model could raise the diagnostic performance of residents to the same level as experienced radiologists.

Comparison between 18F-FDG PET/CT and diffusion-weighted imaging in detection of invasive ductal breast carcinoma.

Breast carcinoma is the most common type of cancer in females. This study aims to compare fluorine-18-fluorodeoxyglucose (18F-FDG) uptake pattern and apparent diffusion coefficient (ADC) value for the detection of the primary tumour and axillary metastases of invasive ductal breast carcinoma. This study included 40 breast carcinoma lesions taken from 39 patients. After staging by positron emission tomography-computed tomography (PET/CT) and diffusion-weighted magnetic resonance imaging (MRI), breast surgery with axillary lymph node dissection or sentinel lymph node biopsy was performed. Primary lesion detection rate for PET/CT and diffusion-weighted MRI was high with 39 of 40 lesions (97.5%). The sensitivity and specificity for the detection of metastatic lymph nodes in axilla were 40.9%, 88.9%, with 18F-FDG PET/CT scans and 40.9%, 83.3%, for dw-MRI, respectively. No significant correlation was detected between ADC and SUVmax or SUVmax ratios. Estrogen receptor (p=0.007) and progesterone receptor (p=0.036) positive patients had lower ADC values. Tumour SUVmax was lower in T1 than T2 tumour size (p=0.027) and progesterone receptor-positive patients (p=0.029). Tumour/background SUVmax was lower in progesterone receptor-positive patients (p=0.004). Tumour/liver SUVmax was higher in grade III patients (p=0.035) and progesterone receptor negative status (p=0.043). This study confirmed the high detection rate of breast carcinoma in both modalities. They have same sensitivity for the detection of axillary lymph node metastases, whereas the PET/CT scan had higher specificity. Furthermore, ADC, SUVmax and SUVmax ratios showed some statistical significance among the patient groups according to different pathological parameters.

Size-Dependent Effect of Indocyanine Green Nanoimaging Agent for Metastatic Lymph Node Detection.

Identification of metastatic lymph nodes is a crucial step in lymph node dissection to prevent further cancer spread and recurrence. However, the current limitations in metastatic lymph node detection often result in extensive resection of normal lymph nodes, leading to serious complications. The clinical application of indocyanine green (ICG) as a tool for lymph node detection is challenging because of its short plasma half-life and rapid light-induced decomposition and clearance. To overcome this limitation, we used polydopamine nanoparticles (PNs) as carriers for ICG and screened for the optimal particle size for detecting metastatic lymph nodes. ICG/PNs with sizes of 80, 160, 300, and 600 nm were synthesized, and their ICG loading efficiency, physical stability, and lymph node distribution were evaluated. The ICG absorbed on the PNs was found to be protected from light degradation, and its retention at the lymph nodes was improved. Notably, the ICG/PNs favored the fluorescence signal at the metastatic lymph nodes compared to the nonmetastatic lymph nodes. Among the tested particle sizes, the 80-nm ICG/PN showed a higher distribution in the metastatic lymph nodes. This study suggests that the 80-nm ICG/PN is a potentially valuable reagent for the detection and diagnosis of lymph node metastasis.

CLINICAL AND IMAGING CHARACTERISTICS, TNM STAGING OF PATIENTS WITH CERVICAL LYMPH NODE METASTASES IN PAPILLARY THYROID CANCER AT CAN THO ONCOLOGY HOSPITAL

Background: Thyroid carcinomas are the most common endocrine malignancies. The cervical lymph node metastasis rate in patients with PTC ranges from 30-80% and there is a significant difference in survival at 14 years for those with and without lymph node metastases. Therefore, the early detection of metastatic cervical lymph nodes plays an essential role in deciding upon the optimal surgical treatment plan for the majority of patients, which will allow careful postoperative screening, adjuvant therapies, and minimizes the chance of disease recurrence, so we conducted this study. Objectives: To evaluate clinical and imaging characteristics, TNM staging of papillary thyroid carcinoma patients with cervical lymph node metastases at Can Tho Oncology Hospital between 2021 and 2023. Materials and methods: This was a descriptive cross-sectional study, including 52 patients who underwent total thyroidectomy and therapeutic neck dissection. Evaluating general characteristics such as age, gender, reasons for encounter, thyroid nodule and cervical lymph node characteristics on clinical examination and imaging, cancer staging. Results: The average age was 40.0 ± 14.1 years (range 13 - 71). The female/male ratio was 2.5:1. The most common age group was &lt;55 years (86.5%). Half of the patients (50%) were admitted to our institute due to palpable neck mass. The proportion of palpable nodules on clinical examination was three quarters. Nodule locating in a single lobe was the dominant characteristic (about 90%). The TIRADS classifications were TIRADS 5 (55.8%), TIRADS 4 (40.4%) and TIRADS 3 (3.8%). The common location of metastatic cervical lymph node was lateral compartment (86.6%). The absence of central hilar structure shown on ultrasound was 94.2%. Stage I thyroid cancer had the highest rate (84.6%). Conclusions: The presence of nodules in a single lobe was the most notable characteristic of thyroid cancer. TIRADS 4 and 5 were shown on ultrasonography in the majority of patients. The lateral compartment was the most common location for metastatic cervical lymph nodes, while the central hilar structure of those nodes mostly absent.

The accuracy of whole-body 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) in the detection of ovarian cancer relapse in patients with rising cancer antigen 125 (CA-125) levels

Background18F-fluorodeoxyglucose (FDG) PET/CT is a noninvasive imaging tool that has been used successfully for the diagnosis, staging, restaging, therapy monitoring, and prognostic prediction of ovarian cancer. For ovarian cancer surveillance, rising CA-125 levels raise the suspicion of recurrence despite its reported low specificity; being elevated in other benign and inflammatory conditions, and thus, confirmation is required. This work aimed to evaluate the role of 18F-FDG PET/CT in suspected ovarian cancer recurrence in patients presenting with elevated CA-125 levels.ResultsFifty female patients with suspected ovarian cancer recurrence owing to elevated CA-125 levels were included in this study. Recurrence was confirmed in 46/50 cases whether by histopathological confirmation or by serial follow-up imaging and clinical follow-up. Positive PET/CT findings were reported in 45/50 cases with 2 false-negative cases and 1 false-positive case. PET/CT examination was found to be superior to contrast-enhanced CT in the detection of peritoneal metastatic nodules and metastatic lymph nodes. According to this study, the estimated sensitivity, specificity, and overall diagnostic accuracy of PET/CT in the detection of recurrent ovarian cancer were 95.6%, 75%, and 94%, respectively.ConclusionsIn ovarian cancer surveillance, 18F-FDG PET/CT was found to be a sensitive and accurate noninvasive imaging tool that can be used in the detection of recurrent ovarian cancer in patients with elevated CA-125 levels, thus interfering with the management plan. The advantage of whole-body imaging in PET/CT allows for the detection and precise localization of recurrent or metastatic foci in abdominal and extra-abdominal sites as well.

Nazofarenks karsinomu olan hastalarda metastatik lenf nodlarının saptanmasında manyetik rezonans görüntüleme doku analizi

Abstract Aims: To investigate the role of magnetic resonance imaging (MRI) texture analysis (TA) in the detection of metastatic lymph nodes in patients with nasopharyngeal carcinoma (NPC). Material and methods: Between January 2020 and October 2021, 15 NPC patients with 32 metastatic lymph nodes and 30 healthy subjects with benign lymph nodes were included in the study. The texture features compared between metastatic and benign lymph nodes. The independent predictor parameters of metastatic lymph nodes were determined using multivariate regression analysis. Receiver operator characteristics (ROC) analysis was used to evaluate the diagnostic performance of the regression models. Results: The first order texture features did not differ significantly between groups (p&amp;gt;0.05). Except for correlation in metastatic lymph nodes, all gray-level co-occurrence matrix (GLCM) and gray-level run length matrix (GLRLM) features were significantly different (p&amp;lt;0.05). The GLCM features of joint entropy, joint energy, and maximum probability; and the GLRLM features of gray level non uniformity and low gray level run emphasis were independent predictors of metastatic lymph nodes. The area under the curve (AUC) values for the GLCM regression model and GLRLM regression model were 0.975 and 0.928, respectively. Conclusion: MRI texture analysis may be useful to detect metastatic lymph nodes in patients with NPC by providing quantitative information on tissue heterogeneity and cellular composition.

Imaging evaluation of para-aortic lymph nodes in cervical cancer.

In recent years, much literature has reported the diagnostic value of computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET)-CT in para-aortic lymph node metastasis of cervical cancer. To compare and analyze the para-aortic lymph node presentations found in cervical cancer on different images in order to determine the best precise imaging method for identifying metastatic lymph nodes. PubMed, Web of Science, MEDLINE, and other databases were searched for the non-invasive detection of metastatic lymph nodes for a comprehensive comparison. Positive lymph nodes on CT are significantly related to the following factors: short axis ≥10 mm; and round or central necrosis. Positive lymph nodes on MRI are significantly related to the following factors: short axis ≥8 mm; inhomogeneous signal intensity; morphology: round, irregular edge, extracapsular invasion, central necrosis, loss of lymph node structure, burrs, or lobes; and ADC value decreases, combined with local actuality. On PET-CT examination, when the short axis of the lymph node is >5 mm, the SUV is >2.5, or the FDG uptake is greater than that of the surrounding tissue, it is a metastatic lymph node. In conclusion, different imaging techniques show metastatic lymph nodes in different ways. Combining the patient's medical history with the symptoms of the aforementioned lymph nodes, together with one or more imaging techniques, is important to diagnose para-aortic lymph nodes in cervical cancer.

Diagnostic accuracy of latest generation digital PET/CT scanner for detection of metastatic lymph nodes in head and neck cancer

PurposeThe aim of this retrospective analysis was to assess the diagnostic accuracy of a latest generation digital positron emission tomography/computed tomography (PET/CT) scanner in the detection of cervical lymph node metastasis in patients undergoing staging work-up for head and neck cancer.Materials and methodsA total of 55 consecutive patients with head and neck cancer at our institution who had a PET/CT after installation of a latest generation PET/CT (Siemens Biograph Vision) who subsequently underwent surgical neck dissection were included. The nodal station location and number of reported PET/CT-positive metastatic lymph nodes were compared to a gold standard of final surgical pathology after neck dissection.ResultsIn total, 188 neck levels and 1,373 lymph nodes were resected; 56 neck levels (118 nodes) in 31 (56%) patients contained nodal metastases on surgical pathology. On a nodal level-by-level analysis, the overall sensitivity for the detection of lymph node metastases on the latest generation PET/CT scanner was 96.4% and the specificity was 86.4%. The sensitivity and specificity for the neck side analysis were 94.0% and 63.7%, and for the individual patient analysis were 100% and 71%, respectively.ConclusionsIn this single-institution study, latest generation PET/CT had a high sensitivity and moderate to high specificity for detecting cervical node metastasis in head and neck cancer. Compared to data from older generation PET/CT scanners, the sensitivity of the latest generation PET/CT was slightly higher, while the specificity was similar or slightly lower. Physicians involved in the management of head and neck cancer should be aware of possible changes in the overall diagnostic accuracy when changing to a latest generation PET/CT scanner.

Abstract P2-09-02: Noninvasive Detection of Lymph Node Involvement in Subjects with Human Epidermal Growth Factor Receptor 2 Positive (HER2+) Breast Cancer using the MagSense® HER2 Test Reagent – A First-In-Human Phase 1 Study

Abstract Introduction Iron oxide nanoparticles have been used in preclinical and clinical research as imaging agents for decades because of their magnetic properties and their known safety profile. We have been developing the MagSense® HER2 Test Reagent (MSH2TR), a formulation of anti-human epidermal growth factor receptor 2 (HER2) conjugated iron oxide nanoparticles, for the noninvasive detection of metastatic lymph nodes to aid in staging of HER2 positive (HER2+) breast cancer patients. Currently, nodal staging requires a patient’s lymph nodes to be surgically removed or biopsied for histopathological examination. MSH2TR is currently being investigated in a first-in-human phase I study in subjects with HER2+ primary breast cancer who, in the judgment of the investigator, have a likelihood of lymph node metastasis. Methods This phase I study is designed to be a preliminary proof-of-principle study with the primary objective of achieving an initial assessment of the safety and tolerability of the MSH2TR injectable imaging agent. A secondary objective of the study is the confirmation that the route of administration is effective in allowing the imaging agent to reach the patient’s lymph nodes. The exploratory objectives of the study include a comparison of the two imaging modalities: magnetic resonance imaging (MRI) and a novel proprietary technology called magnetic relaxometry (MRX), to standard clinical tissue histopathology. The exploratory objectives are expected to provide a preliminary assessment as to whether the MagSense® HER2 imaging agent, when used with one or both imaging modalities, might be able to provide a non-invasive alternative to nodal biopsy. All eligible subjects receive a 30mg injection of MSH2TR into the subareolar interstitial tissue or area near and around the primary tumor. MRI of the axilla are performed before and 24 to 72 hours after MSH2TR injection followed by core biopsy or dissection of the suspected lymph node tissue as per standard of care (SOC) procedures for histopathology assessments and also for ex vivo MRX measurements using the MagSense® Relaxometry Instrument. Review of the MRI scans and histopathology are performed in respective central laboratories. The study is currently enrolling in 4 clinical sites in Australia. Results From an interim evaluation of the first five patients that have completed the study, MSH2TR appears to be safe and well tolerated and no safety issues reported related to the imaging agent. The imaging agent, as administered, is reaching the lymph nodes. The study intends to enroll approximately 15 patients for the preliminary efficacy assessment. Safety and efficacy results from available patients’ data will be presented. Conclusion Available data to date from the ongoing phase I study show that the MagSense® HER2 imaging agent, as administered, appear to be safe and drains to the axillary lymph nodes within the timeframe of interest. Further data collection is ongoing for the preliminary evaluation of efficacy. Citation Format: Yalia Jayalakshmi, Jane Fox, Natalie Yang, Marie Zhang, Robert Proulx, Steven Reich. Noninvasive Detection of Lymph Node Involvement in Subjects with Human Epidermal Growth Factor Receptor 2 Positive (HER2+) Breast Cancer using the MagSense® HER2 Test Reagent – A First-In-Human Phase 1 Study [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr P2-09-02.

Multi-timepoint imaging with PSMA-targeted [18F]F-Florastamin PET/CT: lesion detection and comparison to conventional imaging.

The aims of this study were to investigate the utility of [18F]F-Florastamin, a novel prostate-specific membrane antigen (PSMA)-targeted PET radiotracer with facile radiochemistry, relative to the conventional imaging for the detection of sties of disease and evaluate the effect of multi-timepoint imaging with [18F]F-Florastamin PET on lesion detectability. Eight prostate cancer patients with known or suspected recurrence who underwent [18F]F-Florastamin PET/CT at 1-h and 2-h imaging time-points were included in this prospective pilot study. [18F]F-Florastamin PET images were interpreted visually and quantitatively at both time points and compared with CIM. [18F]F-Florastamin PET was superior to CT in the detection of active osseous metastases and small-sized metastatic lymph nodes that do not fall under the anatomic imaging size criteria for metastasis. Multi-timepoint imaging showed a significant reduction in the blood pool, bone marrow and muscular uptake, and increase in liver uptake over time. There is a significant improvement in tumor-to-background ratio (TBR) at the 2-h imaging time-point (P = 0.04). The mean percentage change in TBR at 2-h was 21% (SD = 0.31). [18F]F-Florastamin is a promising new radioligand for PSMA-targeted PET with suitable lesion detectability and high TBR at both time points.

Ultrasound Accuracy in Detection of Metastatic Axillary Lymph Nodes in Breast Cancer after Neoadjuvant Chemotherapy

Ultrasound Accuracy in Detection of Metastatic Axillary Lymph Nodes in Breast Cancer after Neoadjuvant Chemotherapy

Integrating features from lymph node stations for metastatic lymph node detection.

Metastasis on lymph nodes (LNs), the most common way of spread for primary tumor cells, is a sign of increased mortality. However, metastatic LNs are time-consuming and challenging to detect even for professional radiologists due to their small sizes, high sparsity, and ambiguity in appearance. It is desired to leverage recent development in deep learning to automatically detect metastatic LNs. Besides a two-stage detection network, we here introduce an additional branch to leverage information about LN stations, an important reference for radiologists during metastatic LN diagnosis, as supplementary information for metastatic LN detection. The branch targets to solve a closely related task on the LN station level, i.e., classifying whether an LN station contains metastatic LN or not, so as to learn representations for LN stations. Considering that a metastatic LN station is expected to significantly affect the nearby ones, a GCN-based structure is adopted by the branch to model the relationship among different LN stations. At the classification stage of metastatic LN detection, the above learned LN station features, as well as the features reflecting the distance between the LN candidate and the LN stations, are integrated with the LN features. We validate our method on a dataset containing 114 intravenous contrast-enhanced Computed Tomography (CT) images of oral squamous cell carcinoma (OSCC) patients and show that it outperforms several state-of-the-art methods on the mFROC, maxF1, and AUC scores, respectively.

Diagnosing cervical lymph node metastasis in oral squamous cell carcinoma based on third-generation dual-source, dual-energy computed tomography

ObjectivesTo investigate the potential of dual-energy computed tomography (DECT) parameters in identifying metastatic cervical lymph nodes in oral squamous cell carcinoma (OSCC) patients and to explore the relationships between DECT and pathological features.MethodsClinical and DECT data were collected from patients who underwent radical resection of OSCC and cervical lymph node dissection between November 2019 and June 2021. Microvascular density was assessed using the Weidner counting method. The electron density (ED) and effective atomic number (Zeff) in non - contrast phase and iodine concentration (IC), normalized IC, slope of the energy spectrum curve (λHU), and dual-energy index (DEI) in parenchymal phase were compared between metastatic and non - metastatic lymph nodes. Student’s t-test, Pearson’s rank correlation, and receiver operating characteristic curves were performed.ResultsThe inclusion criteria were met in 399 lymph nodes from 103 patients. Metastatic nodes (n = 158) displayed significantly decreased ED, IC, normalized IC, λHU, and DEI values compared with non-metastatic nodes (n = 241) (all p < 0.01). Strong correlations were found between IC (r = 0.776), normalized IC (r = 0.779), λHU (r = 0.738), DEI (r = 0.734), and microvascular density. Area under the curve (AUC) for normalized IC performed the highest (0.875) in diagnosing metastatic nodes. When combined with the width of nodes, AUC increased to 0.918.ConclusionDECT parameters IC, normalized IC, λHU, and DEI reflect pathologic changes in lymph nodes to a certain extent, and aid for detection of metastatic cervical lymph nodes from OSCC.Key Points• Electron density, iodine concentration, normalized iodine concentration, λHU, and dual-energy index values showed significant differences between metastatic and non-metastatic nodes.• Strong correlations were found between iodine concentration, normalized iodine concentration, slope of the spectral Hounsfield unit curve, dual-energy index, and microvascular density.• DECT qualitative parameters reflect the pathologic changes in lymph nodes to a certain extent, and aid for the detection of metastatic cervical lymph nodes from oral squamous cell carcinoma.

Value of MRI and diffusion-weighted imaging in diagnosing normal-sized pelvic lymph nodes metastases in patients with cervical cancer.

To investigate the value of conventional MRI and diffusion-weighted imaging (DWI) in diagnosing normal-sized pelvic lymph nodes metastases in patients with cervical cancer. 102 patients with cervical cancer who underwent MRI and DWI scan were included. 137 lymph nodes were analyzed, including 44 metastatic lymph nodes (MLNs) and 93 non-metastatic lymph nodes (non-MLNs). The morphology and apparent diffusion coefficient (ADC) value of lymph nodes were measured including short-axis diameter (DS), long-axis diameter (DL), ratio of short-to-long-axis diameter (DR), fatty hilum, asymmetry, ADCmax, ADCmean and ADCmin. The Mann-Whitney U-test, independent sample t-test and Chi-square test were employed to compare the differences of all criteria between MLNs and non-MLNs. Logistic regression and decision tree were used to develop the combined diagnostic model. ROC analyses were used to evaluate the diagnostic performance. The DS and DR of MLNs were significantly higher than those of non-MLNs (p < 0.05), the ADCmax, ADCmean and ADCmin of MLNs were significantly lower than those of non-MLNs (p < 0.05). Presence of fatty hilum and asymmetric lymph nodes between MLNs and non-MLNs were significantly different (p＜0.05). Combined measurement of ADCmin, DS and DR had the highest AUC 0.937 with 90.9% sensitivity and 87.1% specificity. The accuracy of decision tree was 88.3%. MRI with DWI had potential in diagnosing normal-sized pelvic lymph nodes metastases in patients with cervical cancer. The combined evaluation of DS, DR and ADCmin of lymph nodes and decision tree of the combined measure showed better diagnostic performances than sole criteria. The short-axis diameter, ratio of short-to-long-axis diameter and ADCmin of lymph nodes have moderate value in the diagnosis of the metastases of the normal-sized lymph nodes for the patient with cervical cancer as the sole indices. The combined evaluation of DS, DR and ADCmin is much more valuable in the detection of metastatic lymph nodes.

Role of magnetic resonance imaging in detection of metastatic axillary lymph nodes in breast cancer patients

Background: Magnetic resonance imaging has been evolved as a very important tool in diagnosing the axillary lymph nodes pre-operatively. In recent studies, in women with various risk profiles, the sensitivity ranges between 81% and 100%, which is approximately twice as high as the sensitivity of mammography. Methods: This prospective study was performed at PGIMS, Haryana from December 2018 to March 2020. Total 30 patients (n=30) were included in the study. All the patients presenting with clinically palpable breast lump, underwent triple assessment test. All the patient underwent modified radical mastectomy and the final histopathological report of the specimen was then compared with the preoperative clinical and MRI assessment of the metastatic axillary lymph nodes. Results: This study aimed at detection of axillary lymph node metastasis in breast malignancies by breast MRI. The sensitivity of this MRI came to be about 80.00%, specificity of about 80%, positive predictive value of about 95.24%, negative predictive value of about 44.44% and accuracy of about 80.0% with 95% confidence interval.Conclusions: Magnetic resonance imaging is a very important investigation in detection of breast malignancies, their depth, muscles and skin involvement as well as axillary lymph node detection. Axillary lymph nodes can although be detected by clinical examination, but problem lies in their sensitivity and specificity as axillary lymph nodes of small size cannot be detected by clinical examination.

Quantitative hypoxia mapping using a self-calibrated activatable nanoprobe

Hypoxia is a distinguished hallmark of the tumor microenvironment. Hypoxic signaling affects multiple gene expressions, resulting in tumor invasion and metastasis. Quantification of hypoxic status although challenging, can be useful for monitoring tumor development and aggressiveness. However, hypoxia-independent factors such as nonspecific binding and heterogenous probe delivery considerably influence the probe signal thereby disenabling reliable quantitative imaging in vivo. In this study, we designed a self-calibrated activatable nanoprobe Cy7-1/PG5-Cy5@LWHA that specifically detects nitroreductase activity upregulated in hypoxic tumor cells. Dual fluorescence emission of the nanoprobe enables ratiometric calibration and eliminates the target-independent interference. In orthotopic and metastatic breast cancer mouse models, Cy7-1/PG5-Cy5@LWHA demonstrated remarkable hypoxia sensing capability in vivo. Moreover, ratiometric processing provided quantitative hypoxia assessment at different tumor developmental stages and facilitated tumor burden assessment in the metastatic lymph nodes. Therefore, our study demonstrates that ratiometric imaging of Cy7-1/PG5-Cy5@LWHA can be a prospective noninvasive tool to quantitatively monitor tumor hypoxia, which would be beneficial for investigating the fundamental role of hypoxia in tumor progression and for evaluating response to novel anti-hypoxia therapeutics. Furthermore, successful detection of metastatic lymph nodes with the proposed imaging approach illustrates its potential clinical application in assessing lymph node status during surgery.Graphical