A semi-supervised segmentation method for microscopic hyperspectral pathological images based on multi-consistency learning.

Pathological images are considered the gold standard for clinical diagnosis and cancer grading. Automatic segmentation of pathological images is a fundamental and crucial step in constructing powerful computer-aided diagnostic systems. Medical microscopic hyperspectral pathological images can provide additional spectral information, further distinguishing different chemical components of biological tissues, offering new insights for accurate segmentation of pathological images. However, hyperspectral pathological images have higher resolution and larger area, and their annotation requires more time and clinical experience. The lack of precise annotations limits the progress of research in pathological image segmentation. In this paper, we propose a novel semi-supervised segmentation method for microscopic hyperspectral pathological images based on multi-consistency learning (MCL-Net), which combines consistency regularization methods with pseudo-labeling techniques. The MCL-Net architecture employs a shared encoder and multiple independent decoders. We introduce a Soft-Hard pseudo-label generation strategy in MCL-Net to generate pseudo-labels that are closer to real labels for pathological images. Furthermore, we propose a multi-consistency learning strategy, treating pseudo-labels generated by the Soft-Hard process as real labels, by promoting consistency between predictions of different decoders, enabling the model to learn more sample features. Extensive experiments in this paper demonstrate the effectiveness of the proposed method, providing new insights for the segmentation of microscopic hyperspectral tissue pathology images.

Mapping Spatiotemporal Heterogeneity in Multifocal Breast Tumor Progression by Noninvasive Ultrasound Elastography-Guided Mass Spectrometry Imaging Strategy.

Spatiotemporal heterogeneity of tumors provides an escape mechanism for breast cancer cells, which can obstruct the investigation of tumor progression. While molecular profiling obtained from mass spectrometry imaging (MSI) is rich in biochemical information, it lacks the capacity for in vivo analysis. Ultrasound diagnosis has a high diagnostic accuracy but low chemical specificity. Here, we describe a noninvasive ultrasound elastography (UE)-guided MSI strategy (UEg-MSI) that integrates physical and biochemical characteristics of tumors acquired from both in vivo and in vitro imaging. Using UEg-MSI, both elasticity histopathology metabolism "fingerprints" and reciprocal crosstalk are revealed, indicating the intact, multifocal spatiotemporal heterogeneity of spontaneous tumorigenesis of the breast from early, middle, and late stages. Our results demonstrate a gradual increase in malignant degree of primary focus in cervical and thoracic mammary glands. This progression is characterized by increased stiffness according to elasticity scores, histopathological changes from hyperplasia to increased nests of neoplastic cells and necrotic areas, and regional metabolic heterogeneity and reprogramming at the spatiotemporal level. De novo fatty acid (FA) synthesis focused on independent (such as ω-9 FAs) and dependent (such as ω-6 FAs) dietary FA intake in the core cancerous nest areas in the middle and late stages of tumor or in the peripheral microareas in the early stage of the tumor. SM-Cer signaling pathway and GPs biosynthesis and degradation, as well as glycerophosphoinositol intensity, changed in multiple characteristic microareas. The UEg-MSI strategy holds the potential to expand MSI applications and enhance ultrasound-mediated cancer diagnosis. It offers new insight into early cancer discovery and the occurrence of metastasis.

A Nomogram Based on Conventional and Contrast-Enhanced Ultrasound for Pre-operative Prediction of Nipple-Areola Complex Involvement in Breast Cancer: A Prospective Study.

OBJECTIVE: Accurately predicting nipple-areola complex (NAC) involvement in breast cancer is essential for identifying eligible patients for a nipple-sparing mastectomy. This study was aimed at developing a pre-operative nomogram for NAC involvement in breast cancer using conventional ultrasound (US) and contrast-enhanced ultrasound (CEUS). METHODS: All patients with primary breast cancer confirmed by pre-operative biopsy underwent US and CEUS examinations. Post-operative pathology was used as the gold standard in assessing NAC involvement. Lasso regression was used to select the predictors most associated with NAC involvement. A nomogram was constructed to calculate the diagnostic efficacy. The data were internally verified with 500 bootstrapped replications, and a calibration curve was generated to validate the predictive capability. RESULTS: Seventy-six patients with primary breast cancer were included in this study, which included 16 patients (21.1%) with NAC involvement and 60 patients (78.9%) without NAC involvement. Among the 23 features of US and CEUS, Lasso regression selected one US feature and two CEUS features, namely, ductal echo extending from the lesion, ductal enhancement extending to the nipple and focal nipple enhancement. A nomogram was constructed, and the results revealed that the area under the curve, sensitivity, specificity and accuracy were 0.891, 81.3%, 86.7% and 85.5%, respectively. The calibration curve exhibited good consistency between the predicted probability and the actual probability. CONCLUSION: The nomogram developed based on US and CEUS had good performance in predicting NAC involvement in breast cancer before surgery, which may facilitate the selection of suitable patients for NAC preservation with greater oncological safety.

Imaging biomarker for quantitative analysis of endometrial injury based on optical coherence tomography/ultrasound integrated imaging mode.

Precise evaluation of endometrial injury is significant to clinical decision-making in gynecological disease and assisted reproductive technology. However, there is a lack of assessment methods for endometrium in vivo. In this research, we intend to develop quantitative imaging markers with optical coherence tomography (OCT)/ultrasound (US) integrated imaging system through intrauterine endoscopic imaging. OCT/US integrated imaging system was established as our previous research reported. The endometrial injury model was established and after treatment, OCT/US integrated imaging and uterus biopsy was performed to evaluate the endometrial thickness, number of superficial fold, and intrauterine area. According to the results, three quantitative indexes acquired from OCT/US image and HE staining have the same trend and have a strong relationship with the severity of the endometrial injury. Accordingly, we developed three imaging markers for quantitative analysis of endometrial injury in vivo, which provided a precise mode for endometrium evaluation in clinical practice.

Development of an auxiliary device for ultrasound-guided aspiration of pelvic cystic masses: a simulation study.

BACKGROUND: Pelvic cystic masses are a common gynecological condition. Ultrasound-guided aspiration is a minimally invasive surgical technique for the treatment of pelvic cystic masses. However, further developments to improve its stability and safety are wanting. This study evaluated the application and safety of a self-developed auxiliary device for pelvic cystic masses' ultrasound-guided aspiration through phantom testing. METHODS: Saline and coupling agents were used at different viscosity levels to simulate simple cysts, medium viscosity cysts (such as pelvic effusions), and ovarian, endometrial cysts. An auxiliary device consisting of a three-way valve, a negative pressure aspirator, and a pressurized infusion bag was developed. Phantom testing was performed to evaluate the application of this device in ultrasound-guided aspiration of pelvic cystic masses. The indicators, including the time of aspiration, time of injection, and the incidence of complications, were compared to cases in which ultrasound-guided aspiration was performed manually with a syringe. RESULTS: The incidence of complications in the auxiliary device group was significantly lower compared to the manual operation group (P<0.05). The ovarian cystic aspiration times and operation times were significantly shorter in the auxiliary device group compared to the traditional manual puncture group (P<0.05). CONCLUSIONS: Ultrasound-guided aspiration is repeatable and minimally invasive for the treatment of pelvic cystic masses. Using the auxiliary device designed in this report resulted in shorter operation times, definite needle fixation, and fewer complications, which may allow for a more stable and safer aspiration procedure for the treatment of pelvic cystic masses.

UTMD promoted local delivery of miR-34a-mimic for ovarian cancer therapy.

MicroRNA-mediated gene therapy is emerging as a promising method for the treatment of ovarian cancer, but the development of miRNA mimic delivery vectors is still in its infancy, where the safety and efficacy of miR-34a-mimic remain unknown. Ultrasound-targeted microbubble destruction (UTMD) can be an effective and minimally invasive tool for the delivery of miR-34a-mimic in vitro and in vivo. Here, we describe a high-efficiency gene delivery strategy by using miR-34a-mimic loaded folate modified microbubbles (miR-34a-FM) with a portable ultrasonic irradiation system. Ultrasonic parameters, including acoustic intensity (AI), exposure time (ET) and duty cycle (DC), were optimized and the optimal acoustic condition (1.0 W/cm2, 20 s, and 15% DC) was used to deliver miRNA-34a into cells in vitro. MiR-34a mimic was successfully introduced into the cytoplasm and was found to inhibit proliferation and induce apoptosis of SK-OV-3 cells. Next, miR-34a-mimic was delivered to tumor tissue via UTMD, inhibiting tumor growth and prolonging the survival time of mice. In summary, UTMD-mediated miR-34a-mimic delivery has potential application in the clinical treatment of ovarian cancer.

Identification of a LPS-induced TNF-α factor (LITAF) from mollusk Solen grandis and its expression pattern towards PAMPs stimulation.

Lipopolysaccharide-induced TNF-α factor (LITAF) is one of the most important transcription factors mediating TNF-α transcription. In the present study, a LITAF gene (designated as SgLITAF) was identified from razor clams Solen grandis. The full-length cDNA of SgLITAF was of 1476 bp, encoding a polypeptide of 130 amino acids showed high similarity to other known LITAFs. SgLITAF encoded a LITAF domain and the Zn(2+)-binding motifs in the domain were well conserved. The mRNA transcripts of SgLITAF were detected in all tested tissues of healthy razor clams, including mantle, gill, gonad, hemocytes, muscle and hepatopancreas, and with the highest expression level in hepatopancreas. The expression level of SgLITAF in hemocytes was significantly up-regulated (P < 0.01) after razor clams were stimulated by LPS or ß-1, 3-glucan, but no obvious fluctuation of SgLITAF mRNA expression was observed after PGN stimulation. All the results indicated that there might be a LITAF-regulated TNF-α signaling pathway existing in S. grandis, which involved in the immune response not only against gram-negative bacteria but also towards fungi.

A sigma-class glutathione S-transferase from Solen grandis that responded to microorganism glycan and organic contaminants.

Glutathione S-transferases (GSTs) are a superfamily of antioxidant enzymes, which play crucial roles in detoxification and protection of tissues from oxidative damage caused by reactive oxygen species (ROS). In this study, a sigma-class GST was identified from razor clam Solen grandis (designated as SgGST-S1), and its expression patterns, both in tissues and toward microorganism glycan as well as organic contaminants stimulation, were then characterized. The full-length cDNA of SgGST-S1 was of 1291 bp, containing a 5' untranslated region (UTR) of 27 bp, and a 3' UTR of 619 bp with a poly (A) tail. The open reading frame (ORF) was of 645 bp, encoding a polypeptide of 214 amino acids with the predicted molecular weight of 24.8 kDa, which shared 47% identity with GST from Ruditapes philippinarum. The analysis of conserved domain and phylogenetic relationship strongly suggested that SgGST-S1 was a member of sigma-class GST. The mRNA of SgGST-S1 was constitutively expressed in all tested tissues of healthy razor clam, including mantle, gill, gonad, hemocytes, muscle, and hepatopancreas, and it was highly expressed in hepatopancreas. The mRNA expression of SgGST-S1 in hemocytes was significantly up-regulated (P < 0.01) after razor clam was stimulated by peptidoglycan (PGN) or ß-1, 3-glucan, but not LPS. In addition, the SgGST-S1 transcript level was also significantly (P < 0.01) induced by exposure of benzo[a]pyrene (B[a]P) or Polybrominated Diphenyl Ethers (PBDE). All the results indicated that SgGST-S1 might serve as an antioxidant enzyme involving in the detoxification cause by both microorganism glycan and organic contaminants.