Papillary thyroid carcinoma (PTC) is the most common pathological type of thyroid cancer,accounting for 90%.Most cases of PTC are inert tumors,while a few are invasive.Cervical lymph node metastasis is one of the major manifestations of invasive PTC.Preoperative accurate prediction of cervical lymph node metastasis is of great significance for the selection of therapeutic regimen and the evaluation of prognosis.New ultrasound technology is a non-invasive,convenient,and radiation-free examination method,playing a key role in predicting the cervical lymph node metastasis of PTC.This paper reviews the research status and makes an outlook on new ultrasound technology in predicting cervical lymph node metastasis of PTC.
Humans ; Thyroid Cancer, Papillary/diagnostic imaging* ; Lymphatic Metastasis/diagnostic imaging* ; Carcinoma, Papillary/diagnostic imaging* ; Thyroid Neoplasms/diagnostic imaging* ; Technology

OBJECTIVE: To investigate the value of lymphatic contrast-enhanced ultrasound (LCEUS) with intra-glandular injection of contrast agent for diagnosis of central compartment lymph node metastasis of thyroid cancer. METHODS: From November, 2020 to May, 2022, the patients suspected of having thyroid cancer and scheduled for biopsy at our center received both conventional ultrasound and LCEUS examinations of the central compartment lymph nodes before surgery. All the patients underwent surgical dissection of the lymph nodes. The perfusion features in LCEUS were classified as homogeneous enhancement, heterogeneous enhancement, regular/irregular ring, and non-enhancement. With pathological results as the gold standard, we compared the diagnostic ability of conventional ultrasound and LCEUS for identifying metastasis in the central compartment lymph nodes. RESULTS: Forty-nine patients with 60 lymph nodes were included in the final analysis. Pathological examination reported metastasis in 34 of the lymph nodes, and 26 were benign lymph nodes. With ultrasound findings of heterogeneous enhancement, irregular ring and non-enhancement as the criteria for malignant lesions, LCEUS had a diagnostic sensitivity, specificity and accuracy of 97.06%, 92.31% and 95% for diagnosing metastatic lymph nodes, respectively, demonstrating its better performance than conventional ultrasound (P < 0.001). Receiver-operating characteristic curve analysis showed that LCEUS had a significantly greater area under the curve than conventional ultrasound for diagnosing metastatic lymph nodes (94.7% [0.856-0.988] vs 78.2% [0.656-0.878], P=0.003). CONCLUSION LCEUS can enhance the display and improve the diagnostic accuracy of the central compartment lymph nodes to provide important clinical evidence for making clinical decisions on treatment of thyroid cancer.
Humans ; Lymphatic Metastasis/diagnostic imaging* ; Thyroid Neoplasms/pathology* ; Ultrasonography/methods* ; Lymph Nodes/pathology* ; ROC Curve

Objective To evaluate the efficacy of ultrasound and computed tomography (CT) in diagnosing cervical lymph node metastasis (CLNM) of papillary thyroid carcinoma (PTC). Methods The patients with PTC treated by surgery in the Chinese PLA General Hospital from January 2016 to January 2021 were selected for analysis.All the patients underwent preoperative ultrasound and CT examinations,the diagnostic values of which for CLNM were retrospectively analyzed. Results A total of 322 PTC patients were enrolled in this study,including 242 with CLNM and 80 with non-CLNM.The CLNM group and non-CLNM group had significant differences in age,tumor size,and maximum size of lateral CLNM (χ²=20.34,27.34,and 4.30,respectively,all P<0.001).For the central compartment,lateral compartment,and overall compartment,ultrasound diagnosis showed higher sensitivity (χ ²=82.26,P<0.001;χ²=114.01,P<0.001;χ²=82.26,P<0.001) and accuracy (χ²=20.27,P<0.001;χ²=15.56,P<0.001;χ²=44.00,P<0.001) than CT,and had no significant differences from ultrasound combined with CT (all P>0.05).However,ultrasound diagnosis had lower specificity than CT (χ²=17.01,P<0.001;χ²=21.29,P<0.001) in the central compartment and lateral compartment.Receiver operating characteristic curve analysis showed that in the central compartment,lateral compartment,and overall compartment,ultrasound diagnosis had larger AUC than CT (Z=2.99,P=0.003;Z=3.86,P<0.001;Z=4.47,P<0.001) and had no significant difference from ultrasound combined with CT (Z=1.87,P=0.062;Z=1.68,P=0.093;Z=1.61,P=0.107). Conclusions Ultrasound and CT have their own advantages in the diagnosis of central and lateral CLNM.In general,ultrasound has better performance than CT in the diagnosis of CLNM.
Humans ; Lymphatic Metastasis/diagnostic imaging* ; Retrospective Studies ; Thyroid Cancer, Papillary/pathology* ; Thyroid Neoplasms/surgery* ; Tomography, X-Ray Computed ; Ultrasonography/methods*

To efficiently remove all recurrent lymph nodes (rLNs) and minimize complications, we developed a combination approach that consisted of ⁶⁸Gallium prostate-specific membrane antigen (PSMA) ligand positron emission tomography (PET)/computed tomography (CT) and integrated indocyanine green (ICG)-guided salvage lymph node dissection (sLND) for rLNs after radical prostatectomy (RP). Nineteen patients were enrolled to receive such treatment. ⁶⁸Ga-PSMA ligand PET/CT was used to identify rLNs, and 5 mg of ICG was injected into the space between the rectum and bladder before surgery. Fluorescent laparoscopy was used to perform sLND. While extensive LN dissection was performed at level I, another 5 mg of ICG was injected via the intravenous route to intensify the fluorescent signal, and laparoscopy was introduced to intensively target stained LNs along levels I and II, specifically around suspicious LNs, with ⁶⁸Ga-PSMA ligand PET/CT. Next, both lateral peritonea were exposed longitudinally to facilitate the removal of fluorescently stained LNs at levels III and IV. In total, pathological analysis confirmed that 42 nodes were rLNs. Among 145 positive LNs stained with ICG, 24 suspicious LNs identified with ⁶⁸Ga-PSMA ligand PET/CT were included. The sensitivity and specificity of ⁶⁸Ga-PSMA ligand PET/CT for detecting rLNs were 42.9% and 96.6%, respectively. For ICG, the sensitivity was 92.8% and the specificity was 39.1%. At a median follow-up of 15 (interquartile range [IQR]: 6-31) months, 15 patients experienced complete biochemical remission (BR, prostate-specific antigen [PSA] <0.2 ng ml^-1), and 4 patients had a decline in the PSA level, but it remained >0.2 ng ml^-1. Therefore, ⁶⁸Ga-PSMA ligand PET/CT integrating ICG-guided sLND provides efficient sLND with few complications for patients with rLNs after RP.
Gallium Isotopes ; Gallium Radioisotopes ; Humans ; Indocyanine Green ; Ligands ; Lymph Node Excision ; Lymphatic Metastasis/diagnostic imaging* ; Male ; Neoplasm Recurrence, Local/surgery* ; Positron Emission Tomography Computed Tomography ; Prostate ; Prostatectomy ; Prostatic Neoplasms/surgery* ; Salvage Therapy

Objective To compare the differences of energy spectrum CT between small cell lung cancer(SCLC)with mediastinal lymph node metastasis and mediastinal sarcoidosis.Methods Twenty-five SCLC patients with mediastinal lymph node metastasis(SCLC group)and 26 patients with mediastinal sarcoidosis(sarcoidosis group)confirmed by bronchoscopy and biopsy in Tangshan People's Hospital from January 2018 to June 2019 were selected as the research objects.The CT value,iodine concentration,water concentration and energy spectrum curve slope under different single energy levels were compared between SCLC group and sarcoidosis group.Results The single-energy CT values of 40-80 keV segments in the arterial phase of the SCLC group were significantly higher than those in the sarcoidosis group(all P <0.05).The single-energy CT values of 90-140 keV segments were not significantly different from those in the sarcoidosis group(all P >0.05).The single-energy CT values of 40-90 keV segments in venous phase of the SCLC group were significantly higher than those of the sarcoidosis group(all P <0.05),and the single-energy CT values of 100-140 keV segments were not significantly different from those of the sarcoidosis group(all P >0.05).The concentrations of iodine in the arterial phase and venous phase of the SCLC group were(11.56±4.06)μg/cm
Humans ; Lung Neoplasms/diagnostic imaging* ; Lymph Nodes ; Lymphatic Metastasis ; Sarcoidosis/diagnostic imaging* ; Small Cell Lung Carcinoma/diagnostic imaging* ; Tomography, X-Ray Computed

Objective To explore the value of trans-lymphatic contrast-enhanced ultrasound(CEUS)in the diagnosis of cervical lymph node metastasis of thyroid cancer. Methods The patients with suspected thyroid cancer underwent conventional ultrasound and trans-lymphatic CEUS examinations before the biopsy.The differences in ultrasound and CEUS characteristics of cervical lymph nodes between the metastatic group and the non-metastatic group were compared,and pathological results were regarded as the golden standard. Results Twenty patients had thyroid cancer,including 12 cases with lymph node metastasis and 8 cases without metastasis.The diagnostic sensitivity(91.7%
Contrast Media ; Humans ; Lymph Nodes/diagnostic imaging* ; Lymphatic Metastasis/diagnostic imaging* ; Thyroid Neoplasms/diagnostic imaging* ; Ultrasonography

Objective To establish an artificial intelligence model based on B-mode thyroid ultrasound images to predict central compartment lymph node metastasis(CLNM)in patients with papillary thyroid carcinoma(PTC). Methods We retrieved the clinical manifestations and ultrasound images of the tumors in 309 patients with surgical histologically confirmed PTC and treated in the First Medical Center of PLA General Hospital from January to December in 2018.The datasets were split into the training set and the test set.We established a deep learning-based computer-aided model for the diagnosis of CLNM in patients with PTC and then evaluated the diagnosis performance of this model with the test set. Result The accuracy,sensitivity,specificity,and area under receiver operating characteristic curve of our model for predicting CLNM were 80%,76%,83%,and 0.794,respectively. Conclusion Deep learning-based radiomics can be applied in predicting CLNM in patients with PTC and provide a basis for therapeutic regimen selection in clinical practice.
Artificial Intelligence ; Humans ; Lymph Nodes/diagnostic imaging* ; Lymphatic Metastasis ; Retrospective Studies ; Risk Factors ; Thyroid Cancer, Papillary/diagnostic imaging* ; Thyroid Neoplasms/diagnostic imaging*

OBJECTIVE: To validate the value of dual energy CT (DECT) in the differentiation of mediastinal metastatic lymph nodes from non-metastatic lymph nodes in non-small cell lung cancer (NSCLC). METHODS: In the study, 57 surgically confirmed NSCLC patients who underwent enhanced DECT scan within 2 weeks before operation were enrolled. Two radiologists analyzed the CT images before operation. All mediastinal lymph nodes with short diameter≥5 mm on axial images were included in this study. The morphological parameters [long-axis diameter (L), short-axis diameter (S) and S/L of lymph nodes] and the DECT parameters [iodine concentration (IC), normalized iodine concentration (NIC), slope of spectral hounsfield unit curve (λHU) and effective atomic number (Zeff) in arterial and venous phase] were measured. The differences of morphological parameters and DECT parameters between metastatic and non-metastatic lymph nodes were compared. The parameters with significant difference were analyzed by the Logistic regression model, then a new predictive variable was established. Receiver operator characteristic (ROC) analyses were performed for S, NIC in venous phase and the new predictive variable. RESULTS: In 57 patients, 49 metastatic lymph nodes and 938 non-metastatic lymph nodes were confirmed by surgical pathology. A total of 163 mediastinal lymph nodes (49 metastatic, 114 non-metastatic) with S≥5 mm were detected on axial CT images. The S, L and S/L of metastatic lymph nodes were significantly higher than those of non-metastatic lymph nodes (P < 0.05). The DECT parameters of metastatic lymph nodes were significantly lower than those of non-metastatic lymph nodes (P < 0.05). The best single morphological parameter for differentiation between metastatic and nonmetastatic lymph nodes was S (AUC, 0.752; threshold, 8.5 mm; sensitivity, 67.4%; specificity, 73.7%; accuracy, 71.8%). The best single DECT parameter for differentiation between metastatic and nonmetastatic lymph nodes was NIC in venous phase (AUC, 0.861; threshold, 0.53; sensitivity, 95.9%; specificity, 70.2%; accuracy, 77.9%). Multivariate analysis showed that S and NIC were independent predictors of lymph node metastasis. The AUC of combined S and NIC in the venous phase was 0.895(sensitivity, 79.6%; specificity, 87.7%; accuracy, 85.3%), which were significantly higher than that of S (P < 0.001) and NIC (P=0.037). CONCLUSIONS The ability of quantitative DECT parameters to distinguish mediastinal lymph node metastasis in NSCLC patients is better than that of morphological parameters. Combined S and NIC in venous phase can be used to improve preoperative diagnostic accuracy of metastatic lymph nodes.
Carcinoma, Non-Small-Cell Lung/diagnostic imaging* ; Humans ; Lung Neoplasms/diagnostic imaging* ; Lymph Nodes ; Lymphatic Metastasis ; Mediastinum ; Tomography, X-Ray Computed

BACKGROUND: An artificial intelligence system of Faster Region-based Convolutional Neural Network (Faster R-CNN) is newly developed for the diagnosis of metastatic lymph node (LN) in rectal cancer patients. The primary objective of this study was to comprehensively verify its accuracy in clinical use. METHODS: Four hundred fourteen patients with rectal cancer discharged between January 2013 and March 2015 were collected from 6 clinical centers, and the magnetic resonance imaging data for pelvic metastatic LNs of each patient was identified by Faster R-CNN. Faster R-CNN based diagnoses were compared with radiologist based diagnoses and pathologist based diagnoses for methodological verification, using correlation analyses and consistency check. For clinical verification, the patients were retrospectively followed up by telephone for 36 months, with post-operative recurrence of rectal cancer as a clinical outcome; recurrence-free survivals of the patients were compared among different diagnostic groups, by methods of Kaplan-Meier and Cox hazards regression model. RESULTS: Significant correlations were observed between any 2 factors among the numbers of metastatic LNs separately diagnosed by radiologists, Faster R-CNN and pathologists, as evidenced by rradiologist-Faster R-CNN of 0.912, rPathologist-radiologist of 0.134, and rPathologist-Faster R-CNN of 0.448 respectively. The value of kappa coefficient in N staging between Faster R-CNN and pathologists was 0.573, and this value between radiologists and pathologists was 0.473. The 3 groups of Faster R-CNN, radiologists and pathologists showed no significant differences in the recurrence-free survival time for stage N0 and N1 patients, but significant differences were found for stage N2 patients. CONCLUSION: Faster R-CNN surpasses radiologists in the evaluation of pelvic metastatic LNs of rectal cancer, but is not on par with pathologists. TRIAL REGISTRATION www.chictr.org.cn (No. ChiCTR-DDD-17013842).
Adult ; Aged ; Aged, 80 and over ; Artificial Intelligence ; Female ; Humans ; Lymphatic Metastasis ; Male ; Middle Aged ; Neoplasm Recurrence, Local ; Neoplasm Staging ; Neural Networks (Computer) ; Pathologists ; Radiologists ; Rectal Neoplasms ; diagnostic imaging ; mortality ; pathology

OBJECTIVE: To explore the feasibility of radiomics for predicting lymph node metastasis in the central region of the neck in patients with thyroid papillary carcinoma (PTC). METHODS: A total of 189 patients with PTC confirmed by thyroid fine needle aspiration biopsy were prospectively enrolled in this study. The cross-sectional and longitudinal ultrasound images and the images of both sections were analyzed for predicting central lymph node metastasis using a radiomics approach with pathological results as the gold standard. RESULTS: In the 189 patients, the accuracy, sensitivity and specificity of preoperative thyroid ultrasonography for diagnosis of central lymph node metastasis was 69.39%, 64% and 73%, respectively. Based on the ultrasound images of the cross-sections, longitudinal sections and both sections, the accuracy, sensitivity and specificity of radiomics for predicting central lymph node metastasis was 66.06%/68.12%/77.69%, 53%/46%/40%, and 52%/53%/51%, respectively. CONCLUSIONS Radiomics with combined analysis of the ultrasound images on the cross-section and longitudinal section images achieves a higher accuracy for predicting central lymph node metastasis than analysis a single section, and its diagnostic accuracy is much higher than that of conventional ultrasound examination.
Carcinoma, Papillary ; diagnostic imaging ; pathology ; Humans ; Image Interpretation, Computer-Assisted ; Lymph Nodes ; Lymphatic Metastasis ; diagnostic imaging ; Neck ; Prospective Studies ; Thyroid Neoplasms ; diagnostic imaging ; pathology ; Ultrasonography