In January 2025， the European Society for Medical Oncology （ESMO） released the ESMO clinical practice guideline interim update on the management of biliary tract cancer as a supplementary update to Biliary tract cancer： ESMO clinical practice guideline for diagnosis， treatment and follow-up published in November 2022. This interim update mainly revises the latest evidence-based medical recommendations in the key fields of molecular diagnostics and clinical management since the release of the original guidelines， and it is not a comprehensive update of the entire document. This article summarizes and makes an excerpt of the new recommendations from this interim update.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Photothermal therapy is a new type of tumor therapy that uses near-infrared laser to specifically activate the photothermal agent accumulated in the lesion site, so as to achieve thermal ablation of cancer cells. However, the long metabolic cycle and difficult clearance of photothermal agent materials in vivo are also one of the major obstacles hindering their clinical transformation. In this work, we used hemoglobin as a novel stabilizer, hexachloroplatinic acid as a novel oxidant, and pyrrole as a monomer to prepare hemoglobin-stabilized platinum-based polypyrrole nanoparticles (Hb@PtP) by a one-step oxidative polymerization method and investigated in detail to study their physicochemical properties, such as morphology and structure. After polyethylene glycol modification, the particle size of obtained Hb@PtPP was 99.08 ± 8.3 nm and the zeta potential was -18.7 ± 1.2 mV. Transmission electron microscopy showed that the Hb@PtPP nanoparticles exhibited irregular spherical shape and uniform dispersion in the system. Under the irradiation of 808 nm laser with different power densities, Hb@PtPP showed power density-dependent temperature-raising behavior, and CCK-8 and dead-live staining experiments confirmed that they could effectively exert the photothermal effect to kill tumor cells. Small living animal imaging results demonstrated that Hb@PtPP had good tumor targeting and retention ability, and achieved tumor growth inhibition and ablation in vivo under laser excitation. All animal experiments involved in the study were performed in accordance with the program approved by the Animal Care and Use Committee of the Chinese Academy of Medical Sciences, Beijing Union Medical College, Institute of Radiation Medicine [IRM/2-IACUC-2312-005].

Photodynamic therapy is an emerging cancer therapy with clinical prospects, which plays a specific role in the tumor site and causes less harm to the human body. However, the toxicity of small molecules of hydrophobic photosensitizer, the tumor hypoxia microenvironment, and the biodegradability of nano-carrier systems affect its antitumor efficacy and metabolic clearance in vivo. In this paper, hexachloroplatinic acid was used as a novel oxidizing agent to initiate oxidative polymerization of pyrrole/amino pyrrole to achieve the amino functionalization; further reduced platinum acid anion in the nanostructures into platinum nanoclusters by sodium borohydride as a reducing agent to fabricate platinum nanocluster-doped polypyrrole nanoparticles (PtPPy); and finally, this functional nanoparticles delivering meso-tetra (4-carboxyphenyl) porphine (TCPP) were obtained by amide-bonded coupling of photosensitizers TCPP drug (PtPPy@T). The nanomedicine had a spherical structure, uniform morphology, a particle size of 91.93 ± 13.45 nm, and a zeta potential of -18.39 ± 1.4 mV. Experiments demonstrated that PtPPy@T could react with hydrogen peroxide overexpressed in the tumor to generate a large amount of oxygen, which could relieve the tumor hypoxia microenvironment, and at the same time, provided a sufficient substrate for the subsequent PDT; using 658 nm laser irradiation, the photodynamic effect of PtPPy@T was activated, which catalyzed the conversion of oxygen to singlet oxygen, thus triggering oxidative damage and inducing apoptosis in tumor cells; experimental studies showed that the PtPPy@T nanomedicine had a better tumor inhibitory effect in vivo and in vitro. All animal experiments were approved by the Institutional Animal Care and Use Committee of the Institute of Radiological Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College (IRM/2-IACUC-2312-006).

Intrahepatic cholangiocarcinoma （ICC） is a highly malignant biliary tumor， and early-onset ICC （EOICC） refers to ICC with an age of ≤50 years at the time of confirmed diagnosis and often has a higher clinical stage and more significant biological invasiveness. At present， the incidence rate of EOICC is increasing rapidly， but the research on EOICC is still in its early stage. Current evidence has shown that EOICC has significantly different epidemiological， clinical， and molecular characteristics from late-onset ICC. Therefore， the research on the high-risk factors and pathogenesis of EOICC is of great importance for the early identification， diagnosis， and targeted treatment of EOICC. Due to the younger age and better physical condition of EOICC patients， they can tolerate medical interventions with higher risks， and active individualized diagnosis and treatment regimens can be adopted， allowing patients to obtain similar survival and prognosis as those with late-onset ICC. However， due to the significant differences in molecular characteristics between EOICC and ICC， existing targeted drugs may not be suitable for EOICC patients， posing a huge challenge for the systematic treatment of patients with advanced EOICC. The clinical and basic research on EOICC is still lagging behind， and the population characteristics and pathogenic factors of EOICC should be further clarified， in order to promote the establishment of prevention， diagnosis， and treatment standards for the EOICC population.

Objective This clinical study aimed to evaluate the accuracy of a fully digital technique for mea-suring sagittal condylar inclination(SCI),as well as vali-dating whether differences existed between the left and right SCI values of the same participant,to provide a ref-erence for clinical practice.Methods Ten participants with good occlusal relationship and normal temporomandibular joint were recruited.Three methods were used to mea-sure the SCI values of the participants,namely,A(mechanical facebow transferring and mechanical articulator-based measuring method with physical protrusive interocclusal registration),B(face scan-based virtual facebow and virtual ar-ticulator-based measuring method with digital protrusive interocclusal registration),and C(jaw motion tracking system-based measuring method).With the group subjected to methods A and C as the control,the SCI values obtained by the three methods were statistically analyzed.The left and right SCI values of the same participant were also compared.Re-sults The left and right SCI values measured by method A were 41.70°±7.09° and 42.80°±8.62°,those by method B were 35.09°±12.49° and 37.63°±12.10°,and those by method C were 39.43°±8.72° and 38.45°±6.91°.No significant dif-ference existed among the SCI values measured by the three methods(P>0.05).Meanwhile,no statistical difference existed between the SCI values on the left and right sides of the same participant(P>0.05).Conclusion The accuracy of the virtual facebow and digital protrusive occlusal registration based SCI measuring method was the same as that of mechanical facebow based and jaw motion tracking system-based methods.The SCI values on the left and right sides of the same participant were similar.Clinically,an appropriate SCI measurement and setting strategy can be selected based on the actual situations.