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Objective: The purpose of this study was to determine the analgesic effect of a flurbiprofen ester injection via continuous intravenous drip during transvaginal 4-dimensional hysterosalpingography (TVS 4D-HyCoSy). Methods: Two hundred thirty patients who underwent TVS 4D-HyCoSy for infertility from May 2018 to August 2021 at our hospital were selected. The participants were grouped based on tubal patency, flurbiprofen ester use, and uterine cannula diameter, as follows: bilateral tubal patency group; non-bilateral tubal patency group; atropine group; atropine + flurbiprofen ester group; coarse tube group; and fine tube group. The analgesic effect during TVS 4D-HyCoSy and pain relief were compared between groups using visual analog scoring (NRS). Additionally, the incidence of adverse effects was recorded and factors related to the influence of pain were analyzed. Results: 1. Tubal patency reduced pain during ultrasound tubal examination, flurbiprofenate provided significant analgesia after ultrasound tubalography and reduced adverse effects (P < 0.001). 2. The tube diameter thickness had no effect on tubal ultrasonography procedure-related pain. 3. Multivariable analysis of pain relief during imaging suggested that the use of flurbiprofen for bilateral tubal patency had a significant positive effect on pain relief within 30 min after the examination with an AUC of 0.732 (95% CI: 0.665–0.798). Conclusion: A flurbiprofen ester continuous intravenous drip had a good analgesic effect in patients with TVS 4D-HyCoSy. Specifically, the pain relief effect after examination was significant and reduced the incidence of adverse reactions during the contrast examination. Flurbiprofen ester can be administered independently and is worthy of clinical promotion and application.

Breast cancer is a highly heterogeneous disease lacking prognostic markers. Tumor-associated macrophages (TAMs) in the tumor microenvironment are associated with distant metastasis as well as poorer outcomes in breast cancer. Therefore, monitoring TAMs may guide prognostic assessment. This study explores an imaging modality based on a two-step click chemistry procedure for detecting TAMs in breast cancer. Mannose-targeted liposomes (MAN-lipo-AAG) and non-targeted liposomes (lipo-AAG) encapsulating Ac4GalNAz were prepared and comprehensively characterized. The sizes of the prepared MAN-lipo-AAG and lipo-AAG were 126 ± 0.22 and 93 ± 0.23 nm, respectively. In vitro studies demonstrated higher uptake of MAN-lipo-AAG than lipo-AAG by RAW264.7 cells. Moreover, flow cytometry and confocal microscopy confirmed that bright, homogeneous fluorescence labeling was present on RAW264.7 cell membranes in the MAN-lipo-AAG group. Furthermore, in vivo analysis indicated that MAN-lipo-AAG, compared with lipo-AAG, had higher accumulation in a 4T1 xenograft model and higher uptake by mannose-overexpressing TAMs. This study describes a promising approach for specific and non-invasive TAM-targeted imaging via metabolic glycoengineering.

Background: Benign or malignant breast lesions with typical ultrasonic characteristics could be easily and correctly diagnosed with two-dimensional ultrasound (2D US). However, diagnosis of atypical lesions remains a challenge. Most atypical lesions have different ultrasonographic features with probe direction variation. Thus, the interpretation of ultrasonographic features based on static images empirically collected by sonographers might be inaccurate. We aimed to investigate the section discrepancy and diagnostic performance of breast lesions in 2D US by dynamic videos versus static images. Methods: Static images and dynamic videos based on two perpendicular planes of 468 breast lesions were collected and evaluated. The Breast Imaging and Reporting Data System (BI-RADS®) US lexicon was used. Category 3 was used as the cut-off point, and section discrepancy was defined as two perpendicular planes showing different BI-RADS categories (3 versus 4A, 4B, 4C, and 5). Results: This retrospective study included 315 benign and 153 malignant lesions. There were 53 and 50 lesions with section discrepancy during static and dynamic observations, respectively. The proportion of benign lesions with section discrepancy was significantly higher than that of malignant lesions (P < 0.05) either in dynamic or static observation, and the contingency coefficient was 0.2 between section discrepancy and histopathology. Duct changes were more clearly depicted in dynamic videos than in static images (P < 0.05) both in malignant and benign lesions. Calcification and architectural distortion were more sensitively detected by dynamic videos than with static images (P < 0.05) in malignant lesions. The interpretation of “margin” significantly differed in benign lesions between static images and dynamic videos (P < 0.05). The areas under the curve of static image-horizontal, static image-sagittal, dynamic video-horizontal, and dynamic video-sagittal were 0.807, 0.820, 0.837, and 0.846, respectively. The specificities of dynamic videos were higher than those of static images (P < 0.05). Conclusion: Breast lesions have section discrepancy in 2D US. Observations based on dynamic videos could more accurately reflect lesion features and increase the specificity of US in the differentiation of atypical breast lesions.