Background-suppressed tumor-targeted photoacoustic imaging using bacterial carriers.

Photoacoustic (PA) imaging offers promise for biomedical applications due to its ability to image deep within biological tissues while providing detailed molecular information; however, its detection sensitivity is limited by high background signals that arise from endogenous chromophores. Genetic reporter proteins with photoswitchable properties enable the removal of background signals through the subtraction of PA images for each light-absorbing form. Unfortunately, the application of photoswitchable chromoproteins for tumor-targeted imaging has been hampered by the lack of an effective targeted delivery scheme; that is, photoswitchable probes must be delivered in vivo with high targeting efficiency and specificity. To overcome this limitation, we have developed a tumor-targeting delivery system in which tumor-homing bacteria (Escherichia coli) are exploited as carriers to affect the point-specific delivery of genetically encoded photochromic probes to the tumor area. To improve the efficiency of the desired background suppression, we engineered a phytochrome-based reporter protein (mDrBphP-PCMm/F469W) that displays higher photoswitching contrast than those in the current state of the art. Photoacoustic computed tomography was applied to achieve good depth and resolution in the context of in vivo (mice) imaging. The present system effectively integrates a genetically encoded phytochrome-based reporter protein, PA imaging, and synthetic biology (GPS), to achieve essentially background-suppressed tumor-targeted PA monitoring in deep-seated tissues. The ability to image tumors at substantial depths may enable target-specific cancer diagnoses to be made with greater sensitivity, fidelity, and specificity.

Photoacoustic image-guided biomimetic nanoparticles targeting rheumatoid arthritis.

The high level of reactive oxygen species (ROS) in the rheumatoid arthritis (RA) microenvironment (RAM) and its persistent inflammatory nature can promote damage to joints, bones, and the synovium. Targeting strategies that integrate effective RAM regulation with imaging-based monitoring could lead to improvements in the diagnosis and treatment of RA. Here, we report the combined use of small interfering RNAs (siRNAsT/I) and Prussian blue nanoparticles (PBNPs) to silence the expression of proinflammatory cytokines TNF-α/IL-6 and scavenge the ROS associated with RAM. To enhance the in vitro and in vivo biological stability, biocompatibility, and targeting capability of the siRNAsT/I and PBNPs, macrophage membrane vesicles were used to prepare biomimetic nanoparticles, M@P-siRNAsT/I. The resulting constructs were found to suppress tumor necrosis factor-α/interleukin-6 expression and overcome the hypoxic nature of RAM, thus alleviating RA-induced joint damage in a mouse model. The M@P-siRNAsT/I of this study could be monitored via near-infrared photoacoustic (PA) imaging. Moreover, multispectral PA imaging without the need for labeling permitted the real-time evaluation of M@P-siRNAsT/I as a putative RA treatment. Clinical microcomputed tomography and histological analysis confirmed the effectiveness of the treatment. We thus suggest that macrophage-biomimetic M@P-siRNAsT/I and their analogs assisted by PA imaging could provide a new strategy for RA diagnosis, treatment, and monitoring.

Quantitative anatomy of the large variant right hepatic vein: A systematic three-dimensional analysis.

Anatomical variations of the right hepatic vein, especially large variant right hepatic veins (≥5 mm), have important clinical implications in liver transplantation and resection. This study aimed to evaluate anatomical variations of the right hepatic vein using quantitative three-dimensional visualization analysis. Computed tomography images of 650 patients were retrospectively analyzed, and three-dimensional visualization was applied using the derived data to analyze large variant right hepatic veins. The proportion of the large variant right hepatic vein was 16.92% (110/650). According to the location and number of the variant right hepatic veins, the configuration of the right hepatic venous system was divided into seven subtypes. The length of the retrohepatic inferior vena cava had a positive correlation with the diameter of the right hepatic vein (rs = 0.266, p = 0.001) and the variant right hepatic veins (rs = 0.211, p = 0.027). The diameter of the right hepatic vein was positively correlated with that of the middle hepatic vein (rs = 0.361, p < 0.001), while it was inversely correlated with that of the variant right hepatic veins (rs = -0.267, p = 0.005). The right hepatic vein diameter was positively correlated with the drainage volume (rs = 0.489, p < 0.001), while the correlation with the variant right hepatic veins drainage volume was negative (rs = -0.460, p < 0.001). The number of the variant right hepatic veins and their relative diameters were positively correlated (p < 0.001). The volume and percentage of the drainage area of the right hepatic vein decreased significantly as the number of the variant right hepatic vein increased (p < 0.001). The findings of this study concerning the variations of the hepatic venous system may be useful for the surgical planning of liver resection or transplantation.

Second Near-Infrared Macrophage-Biomimetic Nanoprobes for Photoacoustic Imaging of Neuroinflammation.

Neuroinflammation is a significant pathological event involving the neurodegenerative process associated with many neurological disorders. Diagnosis and treatment of neuroinflammation in its early stage are essential for the prevention and management of neurological diseases. Herein, we designed macrophage membrane-coated photoacoustic (PA) probes (MSINPs), with targeting specificities based on naturally existing target-ligand interactions for the early diagnosis of neuroinflammation. The second near-infrared dye, IR1061, was doped into silica as the core and was encapsulated with a macrophage membrane. In vitro as well as in vivo, the MSINPs could target inflammatory cells via the inflammation chemotactic effect. PA imaging was used to trace the MSINPs in a neuroinflammation mouse model and showed a great targeted effect of MSINPs in the prefrontal cortex. Therefore, the biomimetic nanoprobe prepared in this study offers a new strategy for PA molecular imaging of neuroinflammation, which can enhance our understanding of the evolution of neuroinflammation in specific brain regions.

Indocyanine green fluorescence image-guided laparoscopic anatomical S2/3 resection using the TICGL technique.

BACKGROUND: Segment 2/3 (S2/3) resection, which can preserve more residual liver parenchyma, is a feasible alternative to left lateral sectionectomy. However, it is still challenging to perform anatomical S2/3 resection safely and precisely, especially laparoscopically. This study was designed to evaluate the safety and accuracy of the temporary inflow control of the Glissonean pedicle (TICGL) technique combined with indocyanine green (ICG) fluorescence imaging in laparoscopic anatomical S2/3 resection. PATIENTS AND METHODS: A total of 12 patients recruited at Zhujiang Hospital of Southern Medical University from June 2021 to August 2022 were included in the study. All patients underwent ICG fluorescence imaging guided laparoscopic anatomical S2/3 resection. The TICGL technique was used to control the blood inflow of the target segment. The total time used to control the hepatic inflow of the target segment, the time of hemostasis, the amount of intraoperative blood loss, predicted resected liver volume (PRLV) and actual resected liver volume (ARLV) were used to evaluate the simplicity, safety, and accuracy of the TICGL technique combined ICG fluorescent imaging in guiding laparoscopic anatomical S2/3 resection. RESULTS: Of the 12 included patients, 7 underwent S2 resection and 5 underwent S3 resection. The operation time was 76.92 ± 11.95 min, the intraoperative blood loss was 15.42 ± 5.82 ml, and the time of hepatic blood inflow control was 7.42 ± 2.43 min. There was a strong correlation between PRLV and ARLV (r = 0.903, P < 0.05). CONCLUSION: The combination of the TICGL technique with ICG negative staining fluorescence imaging is a feasible approach for laparoscopic anatomical S2/3 resection.

A pilot study of virtual liver segment projection technology in subsegment-oriented laparoscopic anatomical liver resection when indocyanine green staining fails (with video).

BACKGROUND: Precision surgery for liver tumors favors laparoscopic anatomical liver resection (LALR), involving the removal of specific liver segments or subsegments. Indocyanine green (ICG)-negative staining is a commonly used method for defining resection boundaries but may be prone to failure. The challenge arises when ICG staining fails, as it cannot be repeated during surgery. In this study, we employed the virtual liver segment projection (VLSP) technology as a salvage approach for precise boundary determination. Our aim was to assess the feasibility of the VLSP to be used for the determination of the boundaries of the liver resection in this situation. METHODS: Between January 2021 and June 2023, 12 consecutive patients undergoing subsegment-oriented LALR were included in this pilot series. The VLSP technology was utilized to define the resection boundaries at the time of ICG-negative staining failure. Routine surgical parameters and short-term outcomes were evaluated to assess the safety of VLSP in this procedure. In addition, its feasibility was assessed by analyzing the accuracy between the predicted resected liver volume (PRLV) and actual resected liver volume (ARLV). RESULTS: Of the 12 enrolled patients, the mean operation time was 444.58 ± 101.70 min (range 290-570 min), with a mean blood loss of 125.00 ± 96.53 ml (range 50-400 mL). One patient (8.3%) was converted to laparotomy for subsequent parenchymal transection, four (33.3%) received blood transfusions and four (33.3%) had postoperative complications. All patients received an R0 resection. The Pearson correlation coefficient (r) between PRLV and ARLV was 0.98 (R2 = 0.96, p < 0.05), and the relative error (RE) was 8.62 ± 6.66% in the 12 patients, indicating agreement. CONCLUSION: Failure of intraoperative ICG-negative staining during subsegment-oriented LALR is possible, and VLSP may be an alternative to define the resection boundaries in such cases.

Laparoscopic left hemihepatectomy using augmented reality navigation plus ICG fluorescence imaging for hepatolithiasis: a retrospective single-arm cohort study (with video).

BACKGROUND: Laparoscopic left hemihepatectomy (LLH) has been shown to be an effective and safe method for treating hepatolithiasis primarily affecting the left hemiliver. However, this procedure still presents challenges. Due to pathological changes in intrahepatic duct stones, safely dissecting the hilar vessels and determining precise resection boundaries remains difficult, even with fluorescent imaging. Our team proposed a new method of augmented reality navigation (ARN) combined with Indocyanine green (ICG) fluorescence imaging for LLH in hepatolithiasis cases. This study aimed to investigate the feasibility of this combined approach in the procedure. METHODS: Between May 2021 and September 2023, 16 patients with hepatolithiasis who underwent LLH were included. All patients underwent preoperative 3D evaluation and were then guided using ARN and ICG fluorescence imaging during the procedure. Perioperative and short-term postoperative outcomes were assessed to evaluate the safety and efficacy of the method. RESULTS: All 16 patients successfully underwent LLH. The mean operation time was 380.31 ± 92.17 min, with a mean estimated blood loss of 116.25 ± 64.49 ml. ARN successfully aided in guiding hilar vessel dissection in all patients. ICG fluorescence imaging successfully identified liver resection boundaries in 11 patients (68.8%). In the remaining 5 patients (31.3%) where fluorescence imaging failed, virtual liver segment projection (VLSP) successfully identified their resection boundaries. No major complications occurred in any patients. Immediate stone residual rate, stone recurrence rate, and stone extraction rate through the T-tube sinus tract were 12.5%, 6.3%, and 6.3%, respectively. CONCLUSION: The combination of ARN and ICG fluorescence imaging enhances the safety and precision of LLH for hepatolithiasis. Moreover, ARN may serve as a safe and effective tool for identifying precise resection boundaries in cases where ICG fluorescence imaging fails.

Efficacy of hepatectomy for hepatolithiasis using 3D visualization combined with ICG fluorescence imaging: A retrospective cohort study.

BACKGROUND: Hepatolithiasis is a complex condition that poses challenges and difficulties in surgical treatment. Three-dimensional visualization technology combined with fluorescence imaging (3DVT-FI) enables accurate preoperative assessment and real-time intraoperative navigation. However, the perioperative outcomes of 3DVT-FI in hepatolithiasis have not been reported. We aim to evaluate the efficacy of 3DVT-FI in the treatment of hepatolithiasis. METHODS: A retrospective analysis was performed on 128 patients who underwent hepatectomy for hepatolithiasis at the Department of Hepatobiliary Surgery, Zhujiang Hospital, between January 2017 and December 2022. Among them, 50 patients underwent hepatectomy using 3DVT-FI (3DVT-FI group), while 78 patients underwent conventional hepatectomy without 3DVT-FI (CH group). The operative data, postoperative liver function indices, complication rates and stone residue were compared between the two groups. RESULTS: There were no significant differences in preoperative baseline data between the two groups (p > 0.05). Compared with the CH group, the 3DVT-FI group exhibited lower intraoperative blood loss (140.00 ± 112.12 vs. 225.99 ± 186.50 mL, p = 0.001), and a lower intraoperative transfusion rate (8.0% vs. 23.1%, p = 0.027). The overall incidence of postoperative complications did not differ significantly (22.0% vs. 35.9%, p = 0.096). The 3DVT-FI group was associated with a lower immediate residual stone rate (16.0% vs. 34.6%, p = 0.021). There were no perioperative deaths in the 3DVT-FI group, while one perioperative death occurred in the CH group. CONCLUSIONS: The 3DVT-FI may offer significant benefits in terms of surgical safety, reduced intraoperative bleeding and decreased stone residue during hepatectomy for hepatolithiasis.

Laparoscopic Anatomical Extended Right Posterior Sectionectomy Using Virtual Liver Segment Projection Navigation and Indocyanine Green Fluorescence Imaging.

BACKGROUND: Extended right posterior sectionectomy is an alternative to right hepatectomy (RH) for tumors located mainly in the right posterior section (RPS) and partially in the right anterior section (RAS).1 Anatomical extended right posterior sectionectomy (AERPS) combining RPS and right anterior subsegmental resections not only achieves anatomical hepatectomy to reduce remnant liver ischemia2 but also preserves more functional liver parenchyma than RH. AERPS can be extremely challenging, especially under laparoscopy. PATIENT AND METHODS: A 48-year-old male was admitted to our institution for a tumor in the right liver. The three-dimensional (3D) model revealed that the subsegments innervated by the P5dor and the P8lat could cover the territory of the tumor in the RAS.3 Therefore, laparoscopic AERPS was performed. First, an intrafascial approach was adopted to dissect and ligate the right posterior Glissonean pedicle. Then, we used intraoperative ultrasound and virtual liver segment projection by Laparoscopic Hepatectomy Navigation System4 to identify the intersegmental fissure between the dorsal and ventral segments of S5. Partial parenchymal transection was used to reach the common stem of G5dor and G8lat.5 Finally, using indocyanine green (ICG) negative staining fluorescence imaging, the precise transection interface was determined. RESULTS: The operation lasted 360 min with 100 ml of intraoperative blood loss. There were no postoperative complications, and the patient was discharged after 3 days. CONCLUSION: Laparoscopic AERPS is technically feasible and can be performed with greater precision coupled with virtual liver segment projection and ICG fluorescence imaging.

Augmented Reality Navigation Plus Indocyanine Green Fluorescence Imaging Can Accurately Guide Laparoscopic Anatomical Segment 8 Resection.

BACKGROUND: Laparoscopic anatomical Segment 8 (S8) resection is a highly challenging hepatectomy. Augmented reality navigation (ARN), which could be combined with indocyanine green (ICG) fluorescence imaging, has been applied in various complex liver resections and may also be applied in laparoscopic anatomical S8 resection. However, no study has explored how to apply ARN plus ICG fluorescence imaging (ARN-FI) in laparoscopic anatomical S8 resection, or explored its accuracy. PATIENTS AND METHODS: This study is a post hoc analysis that included 31 patients undergoing laparoscopic anatomical S8 resection from the clinical NaLLRFI trial, and the resected liver volume was measured in each patient. The perioperative parameters of safety and feasibility, as well as the accuracy analysis outcomes were compared. RESULTS: There were 16 patients in the ARN-FI group and 15 patients underwent conventional laparoscopic hepatectomy without ARN or fluorescence imaging (non-ARN-FI group). There was no significant difference in baseline characteristics between the two groups. Compared with the non-ARN-FI group, the ARN-FI group had lower intraoperative bleeding (median 125 vs. 300 mL, P = 0.003). No significant difference was observed in other postoperative short-term outcomes. Accuracy analysis indicated that the actual resected liver volume (ARLV) in the ARN-FI group was more accurate. CONCLUSIONS: ARN-FI was associated with less intraoperative bleeding and more accurate resection volume. These techniques may address existing challenges and provide rational guidance for laparoscopic anatomical S8 resection.

Laparoscopic right hemi-hepatectomy plus total caudate lobectomy for perihilar cholangiocarcinoma via anterior approach with augmented reality navigation: a feasibility study.

BACKGROUND: Right hemi-hepatectomy plus total caudate lobectomy is the appropriate procedure for type IIIa or partial type II pCCA. However, the laparoscopic implementation of this procedure remains technically challenging, especially hilar vascular dissection and en bloc resection of the total caudate lobe. Augmented reality navigation can provide intraoperative navigation to enhance visualization of invisible hilar blood vessels and guide the parenchymal transection plane. METHODS: Eleven patients who underwent laparoscopic right hemi-hepatectomy plus total caudate lobectomy from January 2021 to January 2023 were enrolled in this study. Augmented reality navigation technology and the anterior approach were utilized in this operation. Routine operative and short-term postoperative outcomes were assessed to evaluate the feasibility of the novel navigation method in this operation. RESULTS: Right hemi-hepatectomy plus total caudate lobectomy was successfully performed in all 11 enrolled patients. Among the 11 patients, the mean operation time was 454.5 ± 25.0 min and the mean estimated blood loss was 209.1 ± 56.1 ml. Negative surgical margins were achieved in all patients. The postoperative course of all the patients was uneventful, and the mean length of postoperative hospital stay was 10.5 ± 1.2 days. CONCLUSION: Laparoscopic right hemi-hepatectomy plus total caudate lobectomy via the anterior approach may be feasible and safe for pCCA with the assistance of augmented reality navigation.

Laparoscopic in Situ Anatomical Mesohepatectomy for Solitary Massive HCC Using Combined Intrafascial and Extrafascial Approaches With Indocyanine Green Navigation (with Video).

BACKGROUND: Laparoscopic anatomic mesohepatectomy for patients with hepatocellular carcinoma (HCC) remains technically challenging, especially for those with a massive tumor larger than 10 cm. METHODS: In this study, a 65-year-old man with a 13 × 10-cm2 solitary liver tumor located at segments 4, 5, and 8 underwent laparoscopic mesohepatectomy. To reduce the possibility of releasing cancer cells from the primary tumor, the in situ resection strategy for tumor removal was implemented. The intrafascial approach was used to dissect the right Glissonean pedicle, to transect the right anterior hepatic artery, and to ligate the right anterior portal vein. The extrafascial and transfissural approach was performed along the umbilical fissure to transect the Glissonean pedicle of segment 4. Indocyanine green (ICG) then was applied using "reverse staining" to visualize the resection extent and the right posterior hepatic duct (RPHD). During parenchymal resection, the right anterior Glissonean pedicle was adequately exposed and transected via the extrafascial approach above the plane of the RPHD. Finally, the right coronary ligament was dissected, and the tumor was removed. RESULTS: The operation was completed in 360 min, with a blood loss of 200 mL. The histopathologic diagnosis indicated a moderately differentiated HCC. The patient was discharged on postoperative day 8 without any complications. CONCLUSION: Laparoscopic in situ anatomic mesohepatectomy using combined intra- and extrafascial approaches with ICG navigation may be feasible for patients with a centrally located solitary massive HCC.

Augmented reality navigation facilitates laparoscopic removal of foreign body in the pancreas that cause chronic complications.

BACKGROUND: Foreign bodies that enter the pancreas and cause chronic complications cannot be removed by endoscopy. Surgical removal is necessary but also challenging. The development of augmented reality navigation has made it possible to accurate intraoperative navigation in laparoscopic surgery. METHODS: A 37-year-old female had epigastric pain for 3 months and her abdominal CT showed a linear high-density shadow in her pancreas along with chronic pancreatitis. Three-dimensional models of the liver, pancreas, stomach, blood vessels, and foreign body were created based on CT images. Gastroptosis was found in the three-dimensional models, so surgical approach was adapted to open the hepatogastric ligament to reach the pancreas. After 2-3 s of video images were captured by 3D laparoscopy, a three-dimensional dense stereo-reconstruction method was used to obtain the surface model of pancreas, stomach, and blood vessels. The Globally Optimal Iterative Closest Point method was used to obtain a spatial transformation matrix between the preoperative CT image space and the intraoperative laparoscopic space. Under augmented reality navigation guidance, the position and location of the foreign body were displayed on the surface of the pancreas. Then intraoperative ultrasound was used for further verification and to quickly and easily confirm the surgical entrance. After minimal dissection and removal of the pancreatic parenchyma, the foreign body was removed completely. RESULTS: The operation time was 60 min, the estimated blood loss was 10 ml. The foreign body was identified as a 3-cm-long fishbone. The patient recovered without complications and was discharged on the third postoperative day. CONCLUSION: Because it enables direct visual navigation via simple operation, ARN facilitates the laparoscopic removal of foreign bodies in the pancreas with accurate and rapid positioning and minimal damage.

A microenvironment-responsive FePt probes for imaging-guided Fenton-enhanced radiotherapy of hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) continues to be one of the most fatal malignancies with increasing morbidity, and potent therapeutics are urgently required given its insensitivity to traditional treatments. Here, we have developed a microenvironment-responsive FePt probes for the highly efficient Fenton-enhanced radiotherapy (FERT) of HCC. The selective release of Fe2+ in the acidic tumor microenvironment, but not in normal tissue, together with enhanced levels of hydrogen peroxide produced through the Pt radiosensitization effect, facilitates the generation of an enormous amount of hydroxyl radicals through the Fenton reaction, thereby extending the radiotherapeutic cascade and realizing a powerful therapeutic efficacy for HCC. Moreover, the "burst" release of Fe2+ contributes to the T2-to-T1 magnetic resonance imaging (MRI) switching effect, which informs the release of Fe2+, making imaging-guided cancer therapy feasible. This work not only breaks the bottleneck of traditional radiotherapy for HCC while minimally affecting normal tissues, but also provides a new strategy for FERT imaging guidance.

Targeted-detection and sequential-treatment of small hepatocellular carcinoma in the complex liver environment by GPC-3-targeted nanoparticles.

Despite advancements in diagnostic methods and therapeutic strategies, the mortality rate of hepatocellular carcinoma (HCC) remains as high as its incidence rate. Most liver cancers are detected in the advanced stages, when treatment options are limited. Small HCC is difficult to diagnose and is often overlooked by current imaging methods because of the complexity of the liver environment, especially in cirrhotic livers. In the present study, we developed a tumor "cruise missile", mesoporous Fe3O4-containing glucose oxidase-conjugated GPC3 peptide nanoparticles (FGP NPs). It was designed to enhance the accuracy of small HCC visualization to 85.7% using combined ultrasound/photoacoustic imaging in complex liver environment, which facilitated sequential catalytic targeted therapy for small HCC. In a carcinogen-induced mouse HCC model, FGP NPs could be used to accurately diagnose HCC in a liver cirrhosis background as well as distinguish HCC nodules from other abnormal liver nodules, such as cirrhosis nodules and necrotic nodules, by dynamic contrast-enhanced photoacoustic imaging. In a mouse xenograft HCC model, highly reactive oxygen species were formed by sequential catalytic reactions, which promoted HCC cell apoptosis, significantly increasing the survival of the model mice. The present study provides a basis for the precise detection and elimination of small HCCs in the complex liver environment.

Application of Real-Time Augmented Reality Laparoscopic Navigation in Splenectomy for Massive Splenomegaly.

OBJECTIVES: To evaluate the clinical impact and technical feasibility of augmented reality laparoscopic navigation (ARLN) system in laparoscopic splenectomy for massive splenomegaly. METHODS: The clinical data of 17 consecutive patients who underwent laparoscopic splenectomy using ARLN (ARLN group) and 26 patients without ARLN guidance (Non-ARLN group) between January 2018 and April 2020 were enrolled. Propensity score matching (PSM) analysis was performed between the patients with and without ARLN guidance at a ratio of 1:1. RESULTS: Mean intraoperative blood loss was significantly lower in the ARLN-group than in the Non-ARLN group (306.6 ml vs. 462.6 ml, p = 0.047). All the patients in the ARLN-group achieved successful splenic artery dissection, while surgical success was achieved in 12 patients in the Non-ARLN group (p = 0.044). Postoperative hospital stay was significantly longer in the Non-ARLN group (3.8 days vs. 4.5 days, p = 0.040). CONCLUSIONS: ARLN can provide feasible and accurate intraoperative image guidance, and it could be helpful in the performance of laparoscopic splenectomy for massive splenomegaly.

A study of generalization and compatibility performance of 3D U-Net segmentation on multiple heterogeneous liver CT datasets.

BACKGROUND: Most existing algorithms have been focused on the segmentation from several public Liver CT datasets scanned regularly (no pneumoperitoneum and horizontal supine position). This study primarily segmented datasets with unconventional liver shapes and intensities deduced by contrast phases, irregular scanning conditions, different scanning objects of pigs and patients with large pathological tumors, which formed the multiple heterogeneity of datasets used in this study. METHODS: The multiple heterogeneous datasets used in this paper includes: (1) One public contrast-enhanced CT dataset and one public non-contrast CT dataset; (2) A contrast-enhanced dataset that has abnormal liver shape with very long left liver lobes and large-sized liver tumors with abnormal presets deduced by microvascular invasion; (3) One artificial pneumoperitoneum dataset under the pneumoperitoneum and three scanning profiles (horizontal/left/right recumbent position); (4) Two porcine datasets of Bama type and domestic type that contains pneumoperitoneum cases but with large anatomy discrepancy with humans. The study aimed to investigate the segmentation performances of 3D U-Net in: (1) generalization ability between multiple heterogeneous datasets by cross-testing experiments; (2) the compatibility when hybrid training all datasets in different sampling and encoder layer sharing schema. We further investigated the compatibility of encoder level by setting separate level for each dataset (i.e., dataset-wise convolutions) while sharing the decoder. RESULTS: Model trained on different datasets has different segmentation performance. The prediction accuracy between LiTS dataset and Zhujiang dataset was about 0.955 and 0.958 which shows their good generalization ability due to that they were all contrast-enhanced clinical patient datasets scanned regularly. For the datasets scanned under pneumoperitoneum, their corresponding datasets scanned without pneumoperitoneum showed good generalization ability. Dataset-wise convolution module in high-level can improve the dataset unbalance problem. The experimental results will facilitate researchers making solutions when segmenting those special datasets. CONCLUSIONS: (1) Regularly scanned datasets is well generalized to irregularly ones. (2) The hybrid training is beneficial but the dataset imbalance problem always exits due to the multi-domain homogeneity. The higher levels encoded more domain specific information than lower levels and thus were less compatible in terms of our datasets.

A novel method of fluorescent imaging can guide hepatectomy for intrahepatic cholangiocarcinoma with intrahepatic biliary obstruction.

OBJECTIVE: The aim of this study was to present a novel bile-duct obstructed area imaging (BOAI) and to investigate the feasibility and accuracy of this method in guiding hepatectomy for intrahepatic cholangiocarcinoma (ICC) with intrahepatic biliary obstruction. METHODS: From May 2017 to October 2019, eligible patients who underwent hepatectomy guided by BOAI were enrolled. Perioperative outcomes and operative data were analyzed. To assess the feasibility of BOAI and Glissonean pedicle approach, demarcations based on them were compared. To verify the accuracy of BOAI staining of the target territory, simple linear regression analysis, and intraclass correlation coefficient were used to examine the relationship between predicted resected liver volume (PRLV) and actual resected liver volume (ARLV). RESULTS: BOAI staining achieved valid demarcation in 15 (93.8%) of 16 patients, whereas the ischemic line achieved valid demarcation in only nine patients (57.3%; p = .017). ARLV and PRLV had a strong positive correlation (PRLV = 60.06 + 0.925 × ARLV; R = .945; p = .000). Meanwhile, ARLV (intraclass correlation coefficient = .971) achieved an excellent agreement with PRLV (p < .001). CONCLUSIONS: The novel BOAI staining method can provide valid, feasible, and accurate demarcation line and may be an effective method in the surgical treatment of intrahepatic biliary obstruction.

Real-time navigation for laparoscopic hepatectomy using image fusion of preoperative 3D surgical plan and intraoperative indocyanine green fluorescence imaging.

BACKGROUND: Understanding the internal anatomy of the liver remains a major challenge in anatomical liver resection. Although virtual hepatectomy and indocyanine green (ICG) fluorescence imaging techniques have been widely used in hepatobiliary surgery, limitations in their application for real-time navigation persist. OBJECTIVE: The aim of the present study was to evaluate the feasibility and clinical utility of the novel laparoscopic hepatectomy navigation system (LHNS), which fuses preoperative three-dimensional (3D) models with ICG fluorescence imaging to achieve real-time surgical navigation. METHODS: We conducted a retrospective review of clinical outcome for 64 patients who underwent laparoscopic hepatectomy from January 2018 to December 2018, including 30 patients who underwent the procedure using the LHNS (LHNS group) and 34 patients who underwent the procedure without LHNS guidance (Non-LHNS group). RESULTS: There was no significant difference in preoperative characteristics between the two groups. The LHNS group had a significantly less blood loss (285.0 ± 163.0 mL vs. 391.1 ± 242.0 mL; P = 0.047), less intraoperative blood transfusion rate (13.3% vs. 38.2%; P = 0.045), and shorter postoperative hospital stay (7.8 ± 2.1 days vs. 10.6 ± 3.8 days; P < 0.001) than the Non-LHNS group. There was no statistical difference in operative time and the overall complication rate between the two groups. The liver transection line was clearly delineated by the LHNS in 27 patients; however, the projection of boundary was unclear in 2 cases, and in 1 case, the boundary was not clearly displayed by ICG fluorescence imaging. CONCLUSIONS: We developed the LHNS to address limitations of current intraoperative imaging systems. The LHNS is hopefully to become a promising real-time navigation system for laparoscopic hepatectomy.

Concordance Study in Hepatectomy Recommendations Between Watson for Oncology and Clinical Practice for Patients with Hepatocellular Carcinoma in China.

BACKGROUND: With the improvement in diagnostic imaging, perioperative care and surgical technique, the indications and complexity of liver resections have developed. However, the surgical indications remain controversial especially for some complex or advanced hepatocellular carcinomas. This study was designed to evaluate the concordance between hepatectomy recommendations proposed by Watson for Oncology, a cognitive technology providing decision support, and those determined by surgeons in our center for patients with hepatocellular carcinoma. METHODS: We retrospectively reviewed 243 patients with hepatocellular carcinoma who were recommended for surgical treatment and received hepatectomy between 2008 and 2016 at the Zhujiang Hospital of Southern Medical University. Watson for Oncology classified the treatment options into three categories: recommended, for consideration and not recommended. Treatment recommendations were considered concordant if the hepatectomy recommendations were designated "recommended" or "for consideration" by Watson for Oncology. The factors potentially affecting concordance rate were also analyzed in our study. RESULTS: The hepatectomy recommendations of 174 patients were concordant. There were significant differences in the coincidence rate between concordant group and discordant group considering tumor numbers (P = 0.006), extension of hepatectomy (P = 0.009) and BCLC staging system (P < 0.001). Lower degrees of concordance were observed in patients with multiple tumors, major hepatectomy and portal hypertension by using logistic regression analysis (OR = 0.309, P = 0.004; OR = 0.384, P = 0.004; and OR = 0.376, P = 0.022, respectively). CONCLUSION: The concordance between Watson for Oncology and surgeons' hepatectomy recommendation for hepatocellular carcinoma was only 72%. Differences in practice patterns for HCC between the USA (where Watson for Oncology was calibrated) and China may be the major cause of discordance. Watson for Oncology still requires further improvement and localization to be widely applied in China.