Radiomics, which extract large amount of quantification image features from diagnostic medical images had been widely used for prognostication, treatment response prediction and cancer detection. The ...treatment options for lung nodules depend on their diagnosis, benign or malignant. Conventionally, lung nodule diagnosis is based on invasive biopsy. Recently, radiomics features, a non-invasive method based on clinical images, have shown high potential in lesion classification, treatment outcome prediction.
Lung nodule classification using radiomics based on Computed Tomography (CT) image data was investigated and a 4-feature signature was introduced for lung nodule classification. Retrospectively, 72 patients with 75 pulmonary nodules were collected. Radiomics feature extraction was performed on non-enhanced CT images with contours which were delineated by an experienced radiation oncologist.
Among the 750 image features in each case, 76 features were found to have significant differences between benign and malignant lesions. A radiomics signature was composed of the best 4 features which included Laws_LSL_min, Laws_SLL_energy, Laws_SSL_skewness and Laws_EEL_uniformity. The accuracy using the signature in benign or malignant classification was 84% with the sensitivity of 92.85% and the specificity of 72.73%.
The classification signature based on radiomics features demonstrated very good accuracy and high potential in clinical application.
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More than 170 million people worldwide are affected by the hepatitis C virus (HCV). The disease has been described as a “silent epidemic” and “a serious global health crisis”. HCV infection is a ...leading cause of chronic liver disease such as cirrhosis, carcinoma, or liver failure. The current pegylated interferon and ribavirin combination therapy is effective in only 50% of patients. Its moderate efficacy and apparent side effects underscore the need for safer and more effective treatments. The nonstructural NS3 protease of the virus plays a vital role in the replication of the HCV virus. The development of small molecule inhibitors of NS3 protease as antiviral agents has been intensively pursued as a viable strategy to eradicate HCV infection. However, it is a daunting task. The protease has a shallow and solvent-exposed substrate binding region, and the inhibitor binding energy is mainly derived from weak lipophilic and electrostatic interactions. Moreover, lack of a robust in vitro cell culture system and the absence of a convenient small animal model have hampered the assessment of both in vitro and in vivo efficacy of any antiviral compounds. Despite the tremendous challenges, with access to a recently developed cell-based replicon system, major progress has been made toward a more effective small molecule HCV drug. In our HCV program, facing no leads from our screening effort, a structure-based drug design approach was carried out. An α-ketoamide-type electrofile was designed to trap the serine hydroxyl of the protease. Early ketoamide inhibitors mimicked the structures of the peptide substrates. With the aid of X-ray structures, we successfully truncated the undecapeptide lead that had a molecular weight of 1265 Da stepwise to a tripeptide with a molecular weight of 500 Da. In an attempt to depeptidize the inhibitors, various strategies such as hydrazine urea replacement of amide bonds and P2 to P4 and P1 to P3 macrocyclizations were examined. Further optimization of the tripeptide inhibitors led to the identification of the best moieties for each site: primary ketoamide at P′, cyclobutylalanine at P1, gem-dimethylcyclopropylproline at P2, tert-leucine at P3, and tert-butyl urea as capping agent. The combination of these led to the discovery of compound 8 (SCH 503034, boceprevir), our clinical candidate. It is a potent inhibitor in both enzyme assay (K i* = 14 nM) and cell-based replicon assay (EC90 = 0.35 μM). It is highly selective (2200×) against human neutrophil elastase (HNE). Boceprevir is well tolerated in humans and demonstrated antiviral activity in phase I clinical trials. It is currently in phase II trials. This Account details the complexity and challenges encountered in the drug discovery process.
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In this study, we proposed a semi-automated and interactive scheme for organ contouring in radiotherapy planning for patients with non-small cell lung cancers. Several organs were contoured, ...including the lungs, airway, heart, spinal cord, body, and gross tumor volume (GTV). We proposed some schemes to automatically generate and vanish the seeds of the random walks (RW) algorithm. We considered 25 lung cancer patients, whose computed tomography (CT) images were obtained from the China Medical University Hospital (CMUH) in Taichung, Taiwan. The manual contours made by clinical oncologists were taken as the gold standard for comparison to evaluate the performance of our proposed method. The Dice coefficient between two contours of the same organ was computed to evaluate the similarity. The average Dice coefficients for the lungs, airway, heart, spinal cord, and body and GTV segmentation were 0.92, 0.84, 0.83, 0.73, 0.85 and 0.66, respectively. The computation time was between 2 to 4 min for a whole CT sequence segmentation. The results showed that our method has the potential to assist oncologists in the process of radiotherapy treatment in the CMUH, and hopefully in other hospitals as well, by saving a tremendous amount of time in contouring.
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IZUM, KILJ, NUK, PILJ, PNG, SAZU, UL, UM, UPUK
This study used radiomics image analysis to examine the differences of texture feature values extracted from oropharyngeal and hypopharyngeal cancer positron emission tomography (PET) images on ...various tumor segmentations, and finds the proper and stable feature groups. A total of 80 oropharyngeal and hypopharyngeal cancer cases were retrospectively recruited. Radiomics method was applied to the PET image for the 80 oropharyngeal and hypopharyngeal cancer cases to extract texture features from various defined metabolic volumes. Kruskal-Wallis one-way analysis of variance method was used to test whether feature value difference exists between groups, which were grouped by stage, response to treatment, and recurrence. If there was a significant difference, the corresponding feature cutoff value was applied to the Kaplan-Meier estimator to estimate the survival functions. For the various defined metabolic volumes, there were 16 features that had significant differences between early (T1, T2) and late tumor stages (T3, T4). Five images and 2 textural features were found to be able to predict the tumor response and recurrence, respectively, with the areas under the receiver operating characteristic curves reaching 0.7. The histogram entropy was found to be a good predictor of overall survival (OS) and primary relapse-free survival (PRFS) of oropharyngeal and hypopharyngeal cancer patients. Textural features from PET images provide predictive and prognostic information in tumor staging, tumor response, recurrence, and have the potential to be a prognosticator for OS and PRFS in oropharyngeal and hypopharyngeal cancer.
Phase 3 studies suggest that induction chemotherapy (ICT) of cisplatin and 5-fluorouracil plus docetaxel (TPF) is effective but toxic for patients with squamous-cell carcinoma of the head and neck ...(SCCHN). Dose-dense chemotherapy may yield favorable outcomes compared with standard-dose chemotherapy, yet the optimal induction regimen remains undefined. We assessed the efficacy and tolerability of biweekly dose-dense TPF ICT in patients with SCCHN.
In this prospective phase II study, We enrolled patients with stage III/IV (AJCC 7th edition) unresectable squamous cell carcinoma of head and neck cancer. Patients received dose-dense TPF (ddTPF) with cisplatin and docetaxel 50 mg/m2 on day 1, leucovorin 250 mg/m2 on day1, followed by 48-h continuous infusion of 2500 mg/m2 of 5-fluorouracil on day 1 and 2, every 2 weeks for 6 cycles followed by radiotherapy. The primary endpoint was the response rate (RR) after ICT.
Fifty-eight patients were enrolled from June 2014 to September 2015. Overall RR after ICT was 89.6% complete response (CR), 31%; partial response (PR), 58.6%. Grade 3/4 neutropenia, mucositis, and diarrhea incidences were 25.9, 1.7, and 1.7%, respectively. 94.8% of patients completed all treatment courses of ICT without dose reduction. The 3-year overall survival (OS) was 54.3% (95%CI: 39.7 to 66.8%) and progression-free survival (PFS) was 34.3% (95%CI: 22.0 to 46.9%). Multivariate analysis showed that CR after ICT is an independent prognostic factor for OS and PFS.
Six cycles of ddTPF is an active, well-tolerated induction regimen for patients with SCCHN. The presence of CR after ICT predicted long-term survival.
ClinicalTrials.gov Identifier: NCT04397341 , May 21, 2020, retrospectively registered.
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Objectives/Hypothesis
The study aimed to investigate the prognostic effects of interim 18fluoro‐2‐deoxy‐D‐glucose positron emission tomography/computed tomography (PET/CT) during definitive ...radiotherapy (RT) or chemoradiotherapy (CRT) in patients with head and neck cancer.
Study Design
This is a prospectively treatment study.
Methods
The pretreatment and interim PET/CT images of 51 patients with advanced pharyngeal cancers receiving definitive RT/CRT were evaluated prospectively. The interim PET/CT images were taken at a cumulative RT dose ranging from 41.4 to 46.8 Gy. The maximum standardized uptake value (SUVm) of the interim PET/CT and the reduction ratio of the SUVm (SRR) between the two images were measured. The differences between patients with or without local failures were examined using the Mann‐Whitney test. Overall survival (OS), disease‐free survival (DFS), and primary and nodal relapse‐free survival rates were calculated using the Kaplan‐Meier method. Independent prognosticators were identified using Cox regression analysis.
Results
After a median follow‐up duration of 23 months, a higher interim SUVm was associated with local failures. Conducting a multivariate analysis revealed that a SUVmax reduction ratio of primary tumor (SRR‐P) < 0.64 was associated with the inferior OS (hazard ratio 2.64; P =0.035) and DFS (hazard ratio 2.33; P = 0.045). Patients who had tumors with an SRR‐P < 0.64 had a considerably lower 2‐year OS and DFS compared with those who had SRR‐P ≥ 0.64 (47% vs. 66%; 41% vs. 64%).
Conclusion
A higher interim SUVm was associated with local recurrence. In addition, patients with a lower SRR‐P should be considered to be at risk of primary failure.
Level of Evidence
4. Laryngoscope, 124:2732–2738, 2014
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The aim of this study was to employ a kinetic model with dynamic contrast enhancement-magnetic resonance imaging to develop an approach that can efficiently distinguish malignant from benign lesions.
...A total of 43 patients with 46 lesions who underwent breast dynamic contrast enhancement-magnetic resonance imaging were included in this retrospective study. The distribution of malignant to benign lesions was 31/15 based on histological results. This study integrated a single-compartment kinetic model and dynamic contrast enhancement-magnetic resonance imaging to generate a kinetic modeling curve for improving the accuracy of diagnosis of breast lesions. Kinetic modeling curves of all different lesions were analyzed by three experienced radiologists and classified into one of three given types. Receiver operating characteristic and Kappa statistics were used for the qualitative method. The findings of the three radiologists based on the time-signal intensity curve and the kinetic curve were compared.
An average sensitivity of 82%, a specificity of 65%, an area under the receiver operating characteristic curve of 0.76, and a positive predictive value of 82% and negative predictive value of 63% was shown with the kinetic model (p = 0.017, 0.052, 0.068), as compared to an average sensitivity of 80%, a specificity of 55%, an area under the receiver operating characteristic of 0.69, and a positive predictive value of 79% and negative predictive value of 57% with the time-signal intensity curve method (p = 0.003, 0.004, 0.008). The diagnostic consistency of the three radiologists was shown by the κ-value, 0.857 (p<0.001) with the method based on the time-signal intensity curve and 0.826 (p<0.001) with the method of the kinetic model.
According to the statistic results based on the 46 lesions, the kinetic modeling curve method showed higher sensitivity, specificity, positive and negative predictive values as compared with the time-signal intensity curve method in lesion classification.
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Integration of information from corresponding regions between the breast MRI and an X-ray mammogram could benefit the detection of breast cancer in clinical diagnosis. We aimed to provide a framework ...of registration from breast MRI to mammography and to evaluate the diagnosis using the combined information.
43 patients with 46 lesions underwent both MRI and mammography scans, and the interval between the two examinations was around one month. The distribution of malignant to benign lesions was 31/46 based on histological results. Maximum intensity projection and thin-plate spline methods were applied for image registration for MRI to mammography. The diagnosis using integrated information was evaluated using results of histology as the reference. The assessment of annotations and statistical analysis were performed by the two radiologists.
For the cranio-caudal view, the mean post-registration error between MRI and mammography was 2.2±1.9 mm. For the medio-lateral oblique view, the proposed approach performed even better with a mean error of 3.0±2.4 mm. In the diagnosis using MRI assessment with information of mammography, the sensitivity was 91.9±2.3% (29/31, 28/31), specificity 70.0±4.7% (11/15, 10/15), accuracy 84.8±3.1% (40/46, 38/46), positive predictive value 86.4±2.1% (29/33, 28/33) and negative predictive value 80.8±5.4% (11/13, 10/13).
MRI with the aid of mammography shows potential improvements of sensitivity, specificity, accuracy, PPV and NPV in clinical breast cancer diagnosis compared to the use of MRI alone.
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•Discovery of potent, selective and orally bioavailable ERK inhibitor for oncology.•Synthesis of tert 3-(S)thiomethyl pyrrolidine based ERK inhibitors.•Improved PK due to sulfur ...substitution-mitigation of amide bond cleavage.
Compound 5 (SCH772984) was identified as a potent inhibitor of ERK1/2 with excellent selectivity against a panel of kinases (0/231 kinases tested @ 100 nM) and good cell proliferation activity, but suffered from poor PK (rat AUC PK @10 mpk = 0 μM h; F% = 0) which precluded further development. In an effort to identify novel ERK inhibitors with improved PK properties with respect to 5, a systematic exploration of sterics and composition at the 3-position of the pyrrolidine led to the discovery of a novel 3(S)-thiomethyl pyrrolidine analog 28 with vastly improved PK (rat AUC PK @10 mpk = 26 μM h; F% = 70).
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We have identified a series of hydantoin-derived TNF-a converting enzyme (TACE) inhibitors containing a pendant fused bi-heteroaryl group, which demonstrate sub-nanomolar potency ...(Ki), excellent activity in human whole blood assay, and improved DMPK profiles over prior series.
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