scholarly journals NIR nanoprobe-facilitated cross-referencing manifestation of local disease biology for dynamic therapeutic response assessment

2020 ◽  
Vol 11 (3) ◽  
pp. 803-811 ◽  
Author(s):  
Zhimin Wang ◽  
Xiangzhao Ai ◽  
Zhijun Zhang ◽  
Yong Wang ◽  
Xiangyang Wu ◽  
...  

NIR photoacoustic and upconversion luminescent nanoprobe-facilitated cross-referencing manifestation of oxidative stress-induced liver pathophysiology for dynamic therapeutic response assessment.

QJM ◽  
2021 ◽  
Vol 114 (Supplement_1) ◽  
Author(s):  
Aya Y Ahmed ◽  
Mona A Nagi ◽  
Radwa H. El Sheikh

Abstract Background Lymphoma compromises а histologically heterogeneous group of cancers derived from the cells of the immune system. The hallmark of the disease is the enlargement and proliferation of lymph nodes or secondary lymphoid tissues. Aim of the Work to evaluate the role of Positron emission tomography in the assessment of response to therapy in lymphoma patients: in particular, a five-point scale (Deauville criteria), which can be employed for early- and late-therapeutic response assessment. Patients and Methods This cross sectional study was conducted on 20 Patients with different types of lymphoma recruited and enrolled from Ain Shams university hospital. Results PET/CT and Contrast enhanced computed tomography were concurrent in results in 55% of cases during treatment and 75 % at the end of treatment with CT sensitivity of 61.1%, specificity of 92.2% and accuracy of 76.2% during treatment in comparison to 100 % sensitivity and specificity of PET/CT.While sensitivity of CT at end of treatment is 57.5% with specificity of 86.7% and accuracy of 71.6%. Conclusion PET/СT using 2-deoxy-2[18F]fluoro-D-glucose is considered one of the best oncologic imaging modality at the time being with valuable applications in lymphoma.It is very efficient with least possible pitfalls and false results compared to either of its components alone and to side by side reading of separately acquired PET and СT. It is becoming а standard modality for lymphoma providing а new vision to management and treatment plan.


Blood ◽  
2021 ◽  
Author(s):  
Eliza A. Hawkes ◽  
Allison Barraclough ◽  
Laurie H. Sehn

DLBCL, the most common lymphoma subtype, is localized in 25-30% of patients. Prognosis in patients with limited-stage DLBCL (LS-DLBCL) is excellent with 10-year overall survival of at least 70-80%. Improved insights into the disease biology, the availability of positron-emission tomography (PET) scans and recent dedicated clinical trials within this unique population, have led to evolving treatment paradigms. However, no standard definition of LS-DLBCL exists, and while generally defined as Ann Arbor stages I-II disease with largest mass size <10cm in diameter, variations across studies cause challenges in interpretation. Similar to advanced-stage disease, R-CHOP (rituximab, cyclophosphamide, doxorubicin, vincristine, prednisolone) immunochemotherapy forms the basis of treatment, with combined modality therapy including 3 cycles of systemic treatment and involved-site radiation therapy being a predominant historical standard. Yet the well-described continuous risk of relapse beyond 5 years and established late complications of radiotherapy have challenged previous strategies. More rigorous baseline staging and response assessment with PET may improve decision making. Recent clinical studies have focused on minimizing toxicities while maximizing disease outcomes using strategies such as abbreviated immunochemotherapy alone and PET-adapted radiotherapy delivery. This comprehensive review provides an update of recent literature with recommendations for integration into clinical practice for LS-DLBCL patients.


2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 4504-4504 ◽  
Author(s):  
M. J. Donovan ◽  
H. Scher ◽  
P. Scardino ◽  
A. Kotsianti ◽  
C. Cordon-Cardo

4504 Background: A functional androgen receptor (AR) signaling axis plays a critical role in prostate cancer (PCA) development and progression across the clinical spectrum of the illness. Following diagnosis, most prostate cancers respond to treatments that block circulating androgen levels or block AR action. The measurement of AR levels in tumor tissue samples has the potential to provide prognostic information, to treatment selection, and a measure of the pharmacodynamic effect of a therapeutic agent(s) designed to reduce AR levels or block AR action. Existing methods to assess AR antigen levels in tissue are subjective, we have developed a systems pathology strategy for interrogating biomarker assessment in a predictive model by integrating clinical data with histological and quantitative antigen profiles. Methods: Tissue microarrays from 366 MSKCC patients were stained with H&E, images captured, analyzed and quantitative cellular features produced. Immunohistochemistry (IHC) was performed for AR and a staining index generated. A multiplex immunofluorescent (IF) assay using DAPI, CK18 and AR was performed on a subset of patients. IF mages were acquired and specific IF scripts were used to generate quantitative features of AR which were compared with AR IHC data. Results: Androgen Receptor levels by IHC in PCA demonstrated that a high-level of expression was associated with a greater risk of PSA-relapse within 5 years. (P < 0.0001; cut point 100). The correlation of AR IF with AR IHC established that all derived AR-IF measurements were statistically associated with the AR-IHC data. Furthermore, in a very preliminary model using machine learning and feature selection to predict PSA recurrence, 1AR-IF feature (epithelial and stromal AR) along with 2 clinical variables was selected with a concordance index of 0.80. Conclusion: AR levels in newly diagnosed localized prostate cancer are associated with clinical outcome. The levels can be assessed accurately and in a standardized manner using quantitative multiplex antigen methods. Such approaches are critical for evaluating biomarkers, especially when determining therapeutic response and clinical endpoints. [Table: see text]


Radiology ◽  
2002 ◽  
Vol 225 (2) ◽  
pp. 416-419 ◽  
Author(s):  
Srinivasa R. Prasad ◽  
Kartik S. Jhaveri ◽  
Sanjay Saini ◽  
Peter F. Hahn ◽  
Elkan F. Halpern ◽  
...  

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