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OBJECTIVE: To assess the clinical benefit and actionability of molecular targets for genome targeted cancer drugs recommended for clinical practice by the National Comprehensive Cancer Network (NCCN). DESIGN: Cross sectional study. PARTICIPANTS/SETTING: Genome targeted cancer drugs recommended by NCCN guidelines in the advanced setting. MAIN OUTCOME MEASURES: Molecular target actionability was assessed using the European Society for Medical Oncology (ESMO) Scale for Clinical Actionability of Molecular Targets (ESCAT). Clinical benefit of genome targeted oncology therapies was evaluated using the ESMO-Magnitude of Clinical Benefit Scale (ESMO-MCBS). Molecular targets at ESCAT category level I associated with studies showing substantial clinical benefit by ESMO-MCBS (grades 4-5) were designated as high benefit, and those linked to studies achieving an ESMO-MCBS grade of 3 were categorized as being of promising but unproven benefit. RESULTS: 411 recommendations related to 74 genome targeted drugs targeting 50 driver alterations were examined. Most recommendations (346/411; 84%) were associated with clinical trials of various phases, but 16% (65/411) relied on only case reports or pre-clinical studies. However, clinical trials mostly comprised phase I or phase II (271/346; 78%), single arm (262/346; 76%) studies. The primary endpoint assessed in most trials was overall response rate (271/346; 78%) rather than survival. ESCAT tier I targetability encompassed 60% (246/411) of target recommendations, 35% (142/411) were classified as tier II or III, and 6% (23/411) had their relevance yet to be determined (tiers IV to X). When ESMO-MCBS was applied to 267 scorable trials, only 12% (32/267) showed substantial clinical benefit (grades 4-5) and 45% (121/267) were grade 3. When both frameworks were combined, 12% (32/267) of trials supported a determination of high benefit and 33% (88/267) indicated promising but unproven benefit. Of the 118 interventions endorsed by NCCN authors as preferred, 62 (53%) applied to treatments with high or promising but unproven benefit. CONCLUSION: According to the ESCAT and ESMO-MCBS frameworks, about one eighth of genome based treatments for solid cancer were rated as likely to offer a high benefit to patients, whereas around a third were identified as offering a promising but unproven substantial benefit. Ensuring that NCCN recommendations are aligned with expected clinical benefits is crucial for promoting informed, evidence based, genomic guided treatment decisions.
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Terapia de Alvo Molecular , Neoplasias , Guias de Prática Clínica como Assunto , Humanos , Estudos Transversais , Neoplasias/tratamento farmacológico , Neoplasias/genética , Terapia de Alvo Molecular/métodos , Antineoplásicos/uso terapêutico , Oncologia/normasRESUMO
Purpose: To train and validate a convolutional neural network to segment nonperfusion areas (NPAs) in multiple retinal vascular plexuses on widefield optical coherence tomography angiography (OCTA). Methods: This cross-sectional study included 202 participants with a full range of diabetic retinopathy (DR) severities (diabetes mellitus without retinopathy, mild to moderate non-proliferative DR, severe non-proliferative DR, and proliferative DR) and 39 healthy participants. Consecutive 6 × 6-mm OCTA scans at the central macula, optic disc, and temporal region in one eye from 202 participants in a clinical DR study were acquired with a 70-kHz OCT commercial system (RTVue-XR). Widefield OCTA en face images were generated by montaging the scans from these three regions. A projection-resolved OCTA algorithm was applied to remove projection artifacts at the voxel scale. A deep convolutional neural network with a parallel U-Net module was designed to detect NPAs and distinguish signal reduction artifacts from flow deficits in the superficial vascular complex (SVC), intermediate capillary plexus (ICP), and deep capillary plexus (DCP). Expert graders manually labeled NPAs and signal reduction artifacts for the ground truth. Sixfold cross-validation was used to evaluate the proposed algorithm on the entire dataset. Results: The proposed algorithm showed high agreement with the manually delineated ground truth for NPA detection in three retinal vascular plexuses on widefield OCTA (mean ± SD F-score: SVC, 0.84 ± 0.05; ICP, 0.87 ± 0.04; DCP, 0.83 ± 0.07). The extrafoveal avascular area in the DCP showed the best sensitivity for differentiating eyes with diabetes but no retinopathy (77%) from healthy controls and for differentiating DR by severity: DR versus no DR, 77%; referable DR (rDR) versus non-referable DR (nrDR), 79%; vision-threatening DR (vtDR) versus non-vision-threatening DR (nvtDR), 60%. The DCP also showed the best area under the receiver operating characteristic curve for distinguishing diabetes from healthy controls (96%), DR versus no DR (95%), and rDR versus nrDR (96%). The three-plexus-combined OCTA achieved the best result in differentiating vtDR and nvtDR (81.0%). Conclusions: A deep learning network can accurately segment NPAs in individual retinal vascular plexuses and improve DR diagnostic accuracy. Translational Relevance: Using a deep learning method to segment nonperfusion areas in widefield OCTA can potentially improve the diagnostic accuracy of diabetic retinopathy by OCT/OCTA systems.
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Retinopatia Diabética , Redes Neurais de Computação , Vasos Retinianos , Tomografia de Coerência Óptica , Humanos , Tomografia de Coerência Óptica/métodos , Retinopatia Diabética/diagnóstico por imagem , Retinopatia Diabética/diagnóstico , Estudos Transversais , Vasos Retinianos/diagnóstico por imagem , Masculino , Pessoa de Meia-Idade , Feminino , Angiofluoresceinografia/métodos , Idoso , Algoritmos , Adulto , Aprendizado ProfundoRESUMO
Optical coherence tomography (OCT) and its extension OCT angiography (OCTA) have become essential clinical imaging modalities due to their ability to provide depth-resolved angiographic and tissue structural information non-invasively and at high resolution. Within a field of view, the anatomic detail available is sufficient to identify several structural and vascular pathologies that are clinically relevant for multiple prevalent blinding diseases, including age-related macular degeneration (AMD), diabetic retinopathy (DR), and vein occlusions. The main limitation in contemporary OCT devices is that this field of view is limited due to a fundamental trade-off between system resolution/sensitivity, sampling density, and imaging window dimensions. Here, we describe a swept-source OCT device that can capture up to a 12 × 23-mm field of view in a single shot and show that it can identify conventional pathologic features such as non-perfusion areas outside of conventional fields of view. We also show that our approach maintains sensitivity sufficient to visualize novel features, including choriocapillaris morphology beneath the macula and macrophage-like cells at the inner limiting membrane, both of which may have implications for disease.
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Retinopatia Diabética , Vasos Retinianos , Humanos , Vasos Retinianos/patologia , Angiofluoresceinografia , Tomografia de Coerência Óptica/métodos , RetinaRESUMO
Importance: The number of new genome-targeted cancer drugs has increased, offering the possibility of personalized therapy, often at a very high cost. Objective: To assess the validity of molecular targets and therapeutic benefits of US Food and Drug Administration-approved genome-targeted cancer drugs based on the outcomes of their corresponding pivotal clinical trials. Design and Settings: In this cohort study, all genome-targeted cancer drugs that were FDA-approved between January 1, 2015, and December 31, 2022, were analyzed. From FDA drug labels and trial reports, key characteristics of pivotal trials were extracted, including the outcomes assessed. Main Outcomes and Measures: The strength of evidence supporting molecular targetability was assessed using the European Society for Medical Oncology (ESMO) Scale for Clinical Actionability of Molecular Targets (ESCAT). Clinical benefit for their approved indications was evaluated using the ESMO-Magnitude of Clinical Benefit Scale (ESMO-MCBS). Substantial clinical benefit was defined as a grade of A or B for curative intent and 4 or 5 for noncurative intent. Molecular targets qualifying for ESCAT category level I-A and I-B associated with substantial clinical benefit by ESMO-MCBS were rated as high-benefit genomic-based cancer treatments. Results: A total of 50 molecular-targeted drugs covering 84 indications were analyzed. Forty-five indications (54%) were approved based on phase 1 or phase 2 pivotal trials, 45 (54%) were supported by single-arm pivotal trials, and 48 (57%) were approved on the basis of subgroup analyses. By each indication, 46 of 84 primary end points (55%) were overall response rate (median [IQR] overall response rate, 57% [40%-69%]; median [IQR] duration of response, 11.1 [9.2-19.8] months). Among the 84 pivotal trials supporting these 84 indications, 38 trials (45%) had I-A ESCAT targetability, and 32 (38%) had I-B targetability. Overall, 24 of 84 trials (29%) demonstrated substantial clinical benefit via ESMO-MCBS. Combining these ratings, 24 of 84 indications (29%) were associated with high-benefit genomic-based cancer treatments. Conclusions and Relevance: The results of this cohort study demonstrate that among recently approved molecular-targeted cancer therapies, fewer than one-third demonstrated substantial patient benefits at approval. Benefit frameworks such as ESMO-MCBS and ESCAT can help physicians, patients, and payers identify therapies with the greatest clinical potential.
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Antineoplásicos , Aprovação de Drogas , Terapia de Alvo Molecular , Neoplasias , United States Food and Drug Administration , Humanos , Neoplasias/tratamento farmacológico , Neoplasias/genética , Estados Unidos , Antineoplásicos/uso terapêutico , Genômica , Medicina de Precisão , Ensaios Clínicos como Assunto , Genoma HumanoRESUMO
Importance: Best recruitment practices for increasing diversity are well established, but the adoption and impact of these practices in ophthalmology residency recruitment are unknown. Objective: To describe the adoption of bias reduction practices in groups underrepresented in ophthalmology (URiO) residency recruitment and determine which practices are effective for increasing URiO residents. Design, Setting, and Participants: This cross-sectional survey study used an 18-item questionnaire included in the online survey of the Association of University Professors in Ophthalmology (AUPO) Residency Program Directors. Data collection occurred from July 2022 to December 2022. The data were initially analyzed on January 16, 2023. Participants included residency program directors (PDs) in the AUPO PD listserv database. Main Outcomes and Measures: Descriptive analysis of resident selection committee approaches, evaluation of applicant traits, and use of bias reduction tools. Primary outcome was diversity assessed by presence of at least 1 resident in the last 5 classes who identified as URiO, including those underrepresented in medicine (URiM), lesbian, gay, bisexual, transgender, queer, intersex, and asexual plus, or another disadvantaged background (eg, low socioeconomic status). Multivariate analyses of recruitment practices were conducted to determine which practices were associated with increased URiO and URiM. Results: Among 106 PDs, 65 completed the survey (61.3%). Thirty-nine PDs used an interview rubric (60.0%), 28 used interview standardization (43.0%), 56 provided at least 1 bias reduction tool to their selection committee (86.2%), and 44 used postinterview metrics to assess diversity, equity, and inclusion efforts (67.7%). Application filters, interview standardization, and postinterview metrics were not associated with increased URiO. Multivariate logistic regression analysis showed larger residency class (odds ratio [OR], 1.34; 95% CI, 1.09-1.65; P = .01) and use of multiple selection committee bias reduction tools (OR, 1.47; 95% CI, 1.13-1.92; P = .01) were positively associated with increased URiO, whereas use of interview rubrics (OR, 0.72; 95% CI, 0.59-0.87; P = .001) and placing higher importance of applicant interest in a program (OR, 0.83; 95% CI, 0.75-0.92; P = .02) were negatively associated. URiM analyses showed similar associations. Conclusions and Relevance: Ophthalmology residency interviews are variably standardized. In this study, providing multiple bias reduction tools to selection committees was associated with increased URiO and URiM residents. Prioritizing applicant interest in a program may reduce resident diversity. Interview rubrics, while intended to reduce bias, may inadvertently increase inequity.
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Internato e Residência , Oftalmologia , Seleção de Pessoal , Humanos , Estudos Transversais , Oftalmologia/educação , Feminino , Masculino , Inquéritos e Questionários , Estados Unidos , Diversidade Cultural , Educação de Pós-Graduação em Medicina/normas , Grupos Minoritários/estatística & dados numéricos , AdultoRESUMO
OBJECTIVE: Deep learning classifiers provide the most accurate means of automatically diagnosing diabetic retinopathy (DR) based on optical coherence tomography (OCT) and its angiography (OCTA). The power of these models is attributable in part to the inclusion of hidden layers that provide the complexity required to achieve a desired task. However, hidden layers also render algorithm outputs difficult to interpret. Here we introduce a novel biomarker activation map (BAM) framework based on generative adversarial learning that allows clinicians to verify and understand classifiers' decision-making. METHODS: A data set including 456 macular scans were graded as non-referable or referable DR based on current clinical standards. A DR classifier that was used to evaluate our BAM was first trained based on this data set. The BAM generation framework was designed by combing two U-shaped generators to provide meaningful interpretability to this classifier. The main generator was trained to take referable scans as input and produce an output that would be classified by the classifier as non-referable. The BAM is then constructed as the difference image between the output and input of the main generator. To ensure that the BAM only highlights classifier-utilized biomarkers an assistant generator was trained to do the opposite, producing scans that would be classified as referable by the classifier from non-referable scans. RESULTS: The generated BAMs highlighted known pathologic features including nonperfusion area and retinal fluid. CONCLUSION/SIGNIFICANCE: A fully interpretable classifier based on these highlights could help clinicians better utilize and verify automated DR diagnosis.
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Diabetes Mellitus , Retinopatia Diabética , Humanos , Retinopatia Diabética/diagnóstico por imagem , Retina/diagnóstico por imagem , Algoritmos , Angiografia , Tomografia de Coerência Óptica/métodos , BiomarcadoresRESUMO
PURPOSE: Microaneurysms (MAs) have distinct, oval-shaped, hyperreflective walls on structural OCT, and inconsistent flow signal in the lumen with OCT angiography (OCTA). Their relationship to regional macular edema in diabetic retinopathy (DR) has not been quantitatively explored. DESIGN: Retrospective, cross-sectional study. PARTICIPANTS: A total of 99 participants, including 23 with mild, nonproliferative DR (NPDR), 25 with moderate NPDR, 34 with severe NPDR, and 17 with proliferative DR. METHODS: We obtained 3 × 3-mm scans with a commercial device (Solix, Visionix/Optovue) in 99 patients with DR. Trained graders manually identified MAs and their location relative to the anatomic layers from cross-sectional OCT. Microaneurysms were first classified as perfused if flow signal was present in the OCTA channel. Then, perfused MAs were further classified into fully and partially perfused MAs based on the flow characteristics in en face OCTA. The presence of retinal fluid based on OCT near MAs was compared between perfused and nonperfused types. We also compared OCT-based MA detection to fundus photography (FP)- and fluorescein angiography (FA)-based detection. MAIN OUTCOME MEASURES: OCT-identified MAs can be classified according to colocalized OCTA flow signal into fully perfused, partially perfused, and nonperfused types. Fully perfused MAs may be more likely to be associated with diabetic macular edema (DME) than those without flow. RESULTS: We identified 308 MAs (166 fully perfused, 88 partially perfused, 54 nonperfused) in 42 eyes using OCT and OCTA. Nearly half of the MAs identified in this study straddle the inner nuclear layer and outer plexiform layer. Compared with partially perfused and nonperfused MAs, fully perfused MAs were more likely to be associated with local retinal fluid. The associated fluid volumes were larger with fully perfused MAs compared with other types. OCT/OCTA detected all MAs found on FP. Although not all MAs seen with FA were identified with OCT, some MAs seen with OCT were not visible with FA or FP. CONCLUSIONS: OCT-identified MAs with colocalized flow on OCTA are more likely to be associated with DME than those without flow. FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.
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Retinopatia Diabética , Edema Macular , Microaneurisma , Humanos , Retinopatia Diabética/complicações , Vasos Retinianos , Microaneurisma/diagnóstico , Microaneurisma/etiologia , Estudos Transversais , Edema Macular/etiologia , Edema Macular/complicações , Estudos Retrospectivos , Tomografia de Coerência Óptica , Angiofluoresceinografia , RetinaRESUMO
Purpose: To assess whether the combination of en face OCT and OCT angiography (OCTA) can capture observable, but subtle, structural changes that precede clinically evident retinal neovascularization (RNV) in eyes with diabetic retinopathy (DR). Design: Retrospective, longitudinal study. Participants: Patients with DR that had at least 2 visits. Methods: We obtained wide-field OCTA scans of 1 eye from each participant and generated en face OCT, en face OCTA, and cross-sectional OCTA. We identified eyes with RNV sprouts, defined as epiretinal hyperreflective materials on en face OCT with flow signals breaching the internal limiting membrane on the cross-sectional OCTA without recognizable RNV on en face OCTA and RNV fronds, defined as recognizable abnormal vascular structures on the en face OCTA. We examined the corresponding location from follow-up or previous visits for the presence or progression of the RNV. Main Outcome Measures: The characteristics and longitudinal observation of early signs of RNV. Results: From 71 eyes, we identified RNV in 20 eyes with the combination of OCT and OCTA, of which 13 (65%) were photographically graded as proliferative DR, 6 (30%) severe nonproliferative DR, and 1 (5%) moderate nonproliferative diabetic retinopathy. From these eyes, we identified 38 RNV sprouts and 26 RNV fronds at the baseline. Thirty-four RNVs (53%) originated from veins, 24 (38%) were from intraretinal microabnormalities, and 6 (9%) were from a nondilated capillary bed. At the final visit, 53 RNV sprouts and 30 RNV fronds were detected. Ten eyes (50%) showed progression, defined as having a new RNV lesion or the development of an RNV frond from an RNV sprout. Four (11%) RNV sprouts developed into RNV fronds with a mean interval of 7.0 months. Nineteen new RNV sprouts developed during the follow-up, whereas no new RNV frond was observed outside an identified RNV sprout. The eyes with progression were of younger age (P = 0.014) and tended to be treatment naive (P = 0.07) compared with eyes without progression. Conclusions: Longitudinal observation demonstrated that a combination of en face OCT and cross-sectional OCTA can identify an earlier form of RNV before it can be recognized on en face OCTA. Financial Disclosures: Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.
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Objective: To determine the impact of documentation workflow on the accuracy of coded diagnoses in electronic health records (EHRs). Design: Cross-sectional study. Participants: All patients who completed visits at the Casey Eye Institute Retina Division faculty clinic between April 7, 2022 and April 13, 2022. Main Outcome Measures: Agreement between coded diagnoses and clinical notes. Methods: We assessed the rate of agreement between the diagnoses in the clinical notes and the coded diagnosis in the EHR using manual review and examined the impact of the documentation workflow on the rate of agreement in an academic retina practice. Results: In 202 visits by 8 physicians, 78% (range, 22%-100%) had an agreement between the coded diagnoses and the clinical notes. When physicians integrated the diagnosis code entry and note composition, the rate of agreement was 87.9% (range, 62%-100%). For those who entered the diagnosis codes separately from writing notes, the agreement was 44.4% (22%-50%, P < 0.0001). Conclusion: The visit-specific agreement between the coded diagnosis and the progress note can vary widely by workflow. The workflow and EHR design may be an important part of understanding and improving the quality of EHR data. Financial Disclosures: Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.
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In this study, we present an optical coherence tomographic angiography (OCTA) prototype using a 500 kHz high-speed swept-source laser. This system can generate a 75-degree field of view with a 10.4 µm lateral resolution with a single acquisition. With this prototype we acquired detailed, wide-field, and plexus-specific images throughout the retina and choroid in eyes with diabetic retinopathy, detecting early retinal neovascularization and locating pathology within specific retinal slabs. Our device could also visualize choroidal flow and identify signs of key biomarkers in diabetic retinopathy.
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Purpose: Microaneurysms (MAs) have distinct, oval-shaped, hyperreflective walls on structural OCT, and inconsistent flow signal in the lumen with OCT angiography (OCTA). Their relationship to regional macular edema in diabetic retinopathy (DR) has not been quantitatively explored. Design: Retrospective, cross-sectional study. Participants: A total of 99 participants, including 23 with mild, nonproliferative DR (NPDR), 25 with moderate NPDR, 34 with severe NPDR, and 17 with proliferative DR. Methods: We obtained 3 × 3-mm scans with a commercial device (Solix, Visionix/Optovue) in 99 patients with DR. Trained graders manually identified MAs and their location relative to the anatomic layers from cross-sectional OCT. Microaneurysms were first classified as perfused if flow signal was present in the OCTA channel. Then, perfused MAs were further classified into fully and partially perfused MAs based on the flow characteristics in en face OCTA. The presence of retinal fluid based on OCT near MAs was compared between perfused and nonperfused types. We also compared OCT-based MA detection to fundus photography (FP)- and fluorescein angiography (FA)-based detection. Main Outcome Measures: OCT-identified MAs can be classified according to colocalized OCTA flow signal into fully perfused, partially perfused, and nonperfused types. Fully perfused MAs may be more likely to be associated with diabetic macular edema (DME) than those without flow. Results: We identified 308 MAs (166 fully perfused, 88 partially perfused, 54 nonperfused) in 42 eyes using OCT and OCTA. Nearly half of the MAs identified in this study straddle the inner nuclear layer and outer plexiform layer. Compared with partially perfused and nonperfused MAs, fully perfused MAs were more likely to be associated with local retinal fluid. The associated fluid volumes were larger with fully perfused MAs compared with other types. OCT/OCTA detected all MAs found on FP. Although not all MAs seen with FA were identified with OCT, some MAs seen with OCT were not visible with FA or FP. Conclusions: OCT-identified MAs with colocalized flow on OCTA are more likely to be associated with DME than those without flow. Financial Disclosures: Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article. Ophthalmology Retina 2023;â :1-8 © 2023 by the American Academy of Ophthalmology. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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The speed of drug regulatory agencies in the United States and Europe is often a source of discussion. The objective of this research was to assess regulatory review duration of first and supplementary indications approved between 2011 and 2020 in the United States and Europe (European Union [EU] and Switzerland) and differences in submission times between the United States and Europe. Descriptive statistics were applied to review times between the jurisdictions and across the therapeutic areas. A regression analysis was done to estimate the association between approval agency and review times. The primary analysis cohort included 241 drugs approved in the United States, the EU, and Switzerland. Of these, 128 drugs had supplemental indications (331 in total) in the United States and 87 had supplemental indications (206 in total) in the EU. Overall median review duration from submission to approval subtracting the clock stop period was 39 weeks in the United States, 44 weeks in the EU, and 44 weeks in Switzerland. When review times within each drug were compared, the European Medicines Agency took a median of 3.7 weeks (IQR, -6.7 to 14.9 weeks) longer than the U.S. Food and Drug Administration and Swissmedic a median of 0.3 weeks (IQR, -10.6 to 15.3 weeks) longer. Median total review duration for supplemental indications was 26 weeks in the United States and 40 weeks in the EU. Applications were submitted a median of 1.3 and 17.9 weeks later in the EU and Switzerland, respectively, than in the United States. The regression analysis showed small differences in submission times between the United States and the EU (-2.1 weeks [95% CI, -11.7 to 7.6 weeks]) and larger differences between the United States and Switzerland (33.0 weeks [CI, 23.1 to 42.8 weeks]). It would be beneficial for patients if differences in submission times between the United States and Europe continue to be minimized.
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Aprovação de Drogas , Humanos , Estados Unidos , Preparações Farmacêuticas , Europa (Continente) , Suíça , União Europeia , United States Food and Drug AdministrationRESUMO
This Viewpoint encourages investigators to move beyond FDA guidance toward patient-centered therapies and health equity for BCG-unresponsive bladder cancer.
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Vacina BCG , Neoplasias da Bexiga Urinária , Humanos , Vacina BCG/uso terapêutico , Neoplasias da Bexiga Urinária/tratamento farmacológico , Imunoterapia , Assistência Centrada no Paciente , Invasividade Neoplásica , Recidiva Local de NeoplasiaRESUMO
OBJECTIVE: To analyze the therapeutic value of supplemental indications compared with first indications for drugs approved in the US and Europe. DESIGN: Retrospective cohort study. SETTING: New and supplemental indications approved by the US Food and Drug Administration (FDA) and European Medicines Agency (EMA) between 2011 and 2020. MAIN OUTCOME MEASURES: Proportion of first and supplemental indications rated as having high therapeutic value using ratings from the French and German national, independent health authorities. RESULTS: The cohort study included 124 first and 335 supplemental indications approved by the FDA and 88 first and 215 supplemental indications approved by the EMA between 2011 and 2020; the largest subset was for cancer disorders. Therapeutic ratings were available for 107 (86%) first and 179 (53%) supplemental indications in the US and for 87 (99%) first and 184 (86%) supplemental indications in Europe. Among FDA approved indications with available ratings, 41% (44/107) had high therapeutic value ratings for first indications compared with 34% (61/179) for supplemental indications. In Europe, 47% (41/87) of first and 36% (67/184) of supplemental indications had high therapeutic value ratings. Among FDA approvals, when the sample was restricted to the first three approved indications, second indication approvals were 36% less likely to have a high value rating (relative ratio 0.64, 95% confidence interval 0.43 to 0.96) and third indication approvals were 45% less likely (0.55, 0.29 to 1.01) compared with the first indication approval. Similar findings were observed for Europe and when weighting by the inverse number of indications for each drug. CONCLUSIONS: The proportion of supplemental indications rated as having high therapeutic value was substantially lower than for first indications. When first or supplemental indications do not offer added therapeutic value over other available treatments, that information should be clearly communicated to patients and physicians and reflected in the price of the drugs.
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Antineoplásicos , Neoplasias , Estados Unidos , Humanos , Preparações Farmacêuticas , Estudos de Coortes , Estudos Retrospectivos , Aprovação de Drogas , Neoplasias/tratamento farmacológico , Europa (Continente) , United States Food and Drug Administration , Antineoplásicos/uso terapêuticoAssuntos
Legislação de Medicamentos , Neoplasias , Criança , Humanos , Estados Unidos , União Europeia , Neoplasias/terapiaRESUMO
Projection artifacts are a significant limitation of optical coherence tomographic angiography (OCTA). Existing techniques to suppress these artifacts are sensitive to image quality, becoming less reliable on low-quality images. In this study, we propose a novel signal attenuation-compensated projection-resolved OCTA (sacPR-OCTA) algorithm. In addition to removing projection artifacts, our method compensates for shadows beneath large vessels. The proposed sacPR-OCTA algorithm improves vascular continuity, reduces the similarity of vascular patterns in different plexuses, and removes more residual artifacts compared to existing methods. In addition, the sacPR-OCTA algorithm better preserves flow signal in choroidal neovascular lesions and shadow-affected areas. Because sacPR-OCTA processes the data along normalized A-lines, it provides a general solution for removing projection artifacts agnostic to the platform.
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A 72-year-old woman with a history of kidney transplant was referred for an eye examination because of visual changes in the left eye. Both optic discs were anomalous in appearance, with central excavation in the left eye greater than the right eye. What would you do next?
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Transplante de Rim , Visão Ocular , Idoso , Humanos , Transplante de Rim/efeitos adversosRESUMO
Introduction: To assess the diagnostic accuracy of automatically quantified macular fluid volume (MFV) for treatment-required diabetic macular edema (DME). Methods: This retrospective cross-sectional study included eyes with DME. The commercial software on optical coherence tomography (OCT) produced the central subfield thickness (CST), and a custom deep-learning algorithm automatically segmented the fluid cysts and quantified the MFV from the volumetric scans of an OCT angiography system. Retina specialists treated patients per standard of care based on clinical and OCT findings without access to the MFV. The main outcome measures were the area under the receiver operating characteristic curve (AUROC), sensitivity, and specificity of the CST, MFV, and visual acuity (VA) for treatment indication. Results: Of 139 eyes, 39 (28%) were treated for DME during the study period and 101 (72%) were previously treated. The algorithm detected fluid in all eyes; however, only 54 eyes (39%) met the DRCR.net criteria for center-involved ME. The AUROC of MFV predicting a treatment decision of 0.81 was greater than that of CST (0.67) (P = .0048). Untreated eyes that met the optimal threshold for treatment-required DME based on MFV (>0.031 mm3) had better VA than treated eyes (P = .0053). A multivariate logistic regression model showed that MFV (P = .0008) and VA (P = .0061) were significantly associated with a treatment decision, but CST was not. Conclusions: MFV had a higher correlation with the need for treatment for DME than CST and may be especially useful for ongoing management of DME.
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Bladder cancer (BC) cells exhibit a high basal level of autophagy activity, which contributes to the development of a protective mechanism for cellular survival against current treatments. HsamicroRNA34a (miR34a) presents antitumor function in several types of cancer. However, the functional mechanism of miR34a in regulating tumor aggressiveness and protective autophagy of BC remains largely unknown. First, transfected BC cells with miR34a mimic exhibited LC3II and p62 accumulation through immunofluorescence staining. It was demonstrated that syntaxin 17 (STX17), which is required for autophagosomelysosome fusion, was downregulated upon miR34a mimic treatment. Mechanistically, miR34a reduced the expression of STX17 proteins that directly bind on STX17 3'untranslated regions and thus suppressed STX17 mRNA translation to eventually inhibit protective autophagy in BC. Cell viability and colony formation assays revealed that overexpression of miR34a in BC cells enhances the chemosensitivity of cisplatin, doxorubicin, epirubicin and mitomycin C. Furthermore, miR34a inhibited cell proliferation and triggered G0/G1 cell cycle arrest by inhibiting cyclin D1 and cyclin E2 protein expression. Moreover, miR34a suppressed cell motility through the downregulation of epithelialmesenchymal transition. In summary, miR34a inhibits cell proliferation, motility and autophagy activity in BC, which can benefit BC treatment.