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Dive into the research topics where Jona A. Hattangadi-Gluth is active.

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Featured researches published by Jona A. Hattangadi-Gluth.


International Journal of Radiation Oncology Biology Physics | 2012

Basal Subtype of Invasive Breast Cancer is Associated with a Higher Risk of True Recurrence after Conventional Breast-Conserving Therapy

Jona A. Hattangadi-Gluth; Jennifer Y. Wo; Paul L. Nguyen; Rita F. Abi Raad; Meera Sreedhara; Andrzej Niemierko; Phoebe E. Freer; Dianne Georgian-Smith; Jennifer R. Bellon; Julia S. Wong; Barbara L. Smith; Jay R. Harris; Alphonse G. Taghian

PURPOSE To determine whether breast cancer subtype is associated with patterns of ipsilateral breast tumor recurrence (IBTR), either true recurrence (TR) or elsewhere local recurrence (ELR), among women with pT1-T2 invasive breast cancer (IBC) who receive breast-conserving therapy (BCT). METHODS AND MATERIALS From Jan 1998 to Dec 2003, 1,223 women with pT1-T2N0-3 IBC were treated with BCT (lumpectomy plus whole-breast radiation). Ninety percent of patients received adjuvant systemic therapy, but none received trastuzumab. Biologic cancer subtypes were approximated by determining estrogen receptor-positive (ER+), progesterone receptor-positive (PR+), and human epidermal growth factor receptor-2-positive (HER-2+) expression, classified as luminal A (ER+ or PR+ and HER-2 negative [HER-2-]), luminal B (ER+ or PR+ and HER-2+), HER-2 (ER- and PR- and HER-2+), and basal (ER- and PR- and HER-2- ) subtypes. Imaging, pathology, and operative reports were reviewed by two physicians independently, including an attending breast radiologist. Readers were blinded to subtype and outcome. TR was defined as IBTR within the same quadrant and within 3 cm of the primary tumor. All others were defined as ELR. RESULTS At a median follow-up of 70 months, 24 patients developed IBTR (5-year cumulative incidence of 1.6%), including 15 TR and 9 ELR patients. At 5 years, basal (4.4%) and HER-2 (9%) subtypes had a significantly higher incidence of TR than luminal B (1.2%) and luminal A (0.2%) subtypes (p < 0.0001). On multivariate analysis, basal subtype (hazard ratio [HR], 4.8, p = 0.01), younger age at diagnosis (HR, 0.97; p = 0.05), and increasing tumor size (HR, 2.1; p = 0.04) were independent predictors of TR. Only younger age (HR, 0.95; p = 0.01) significantly predicted for ELR. CONCLUSIONS Basal and HER-2 subtypes are significantly associated with higher rates of TR among women with pT1-T2 IBC after BCT. Younger age predicts for both TR and ELR. Strategies to reduce TR in basal breast cancers, such as increased boost doses, concomitant radiation and chemotherapy, or targeted therapy agents, should be explored.


Journal of The National Comprehensive Cancer Network | 2017

Central Nervous System Cancers, Version 2.2014: Featured Updates to the NCCN Guidelines

Louis B. Nabors; Jana Portnow; Mario Ammirati; Henry Brem; Paul D. Brown; Nicholas Butowski; Marc C. Chamberlain; Lisa M. DeAngelis; Robert A. Fenstermaker; Allan H. Friedman; Mark R. Gilbert; Jona A. Hattangadi-Gluth; Deneen Hesser; Matthias Holdhoff; Larry Junck; Ronald Lawson; Jay S. Loeffler; Paul L. Moots; Maciej M. Mrugala; Herbert B. Newton; Jeffrey Raizer; Lawrence Recht; Nicole Shonka; Dennis C. Shrieve; Allen K. Sills; Lode J. Swinnen; David D. Tran; Nam D. Tran; Frank D. Vrionis; Patrick Y. Wen

For many years, the diagnosis and classification of gliomas have been based on histology. Although studies including large populations of patients demonstrated the prognostic value of histologic phenotype, variability in outcomes within histologic groups limited the utility of this system. Nonetheless, histology was the only proven and widely accessible tool available at the time, thus it was used for clinical trial entry criteria, and therefore determined the recommended treatment options. Research to identify molecular changes that underlie glioma progression has led to the discovery of molecular features that have greater diagnostic and prognostic value than histology. Analyses of these molecular markers across populations from randomized clinical trials have shown that some of these markers are also predictive of response to specific types of treatment, which has prompted significant changes to the recommended treatment options for grade III (anaplastic) gliomas.


International Journal of Radiation Oncology Biology Physics | 2016

Dose-Dependent Cortical Thinning After Partial Brain Irradiation in High-Grade Glioma.

Roshan Karunamuni; Hauke Bartsch; Nathan S. White; Vitali Moiseenko; Ruben Carmona; D.C. Marshall; Tyler M. Seibert; Carrie R. McDonald; Nikdokht Farid; A. Krishnan; Joshua M. Kuperman; Loren K. Mell; James B. Brewer; Anders M. Dale; Jona A. Hattangadi-Gluth

PURPOSE Radiation-induced cognitive deficits may be mediated by tissue damage to cortical regions. Volumetric changes in cortex can be reliably measured using high-resolution magnetic resonance imaging (MRI). We used these methods to study the association between radiation therapy (RT) dose and change in cortical thickness in high-grade glioma (HGG) patients. METHODS AND MATERIALS We performed a voxel-wise analysis of MRI from 15 HGG patients who underwent fractionated partial brain RT. Three-dimensional MRI was acquired pre- and 1 year post RT. Cortex was parceled with well-validated segmentation software. Surgical cavities were censored. Each cortical voxel was assigned a change in cortical thickness between time points, RT dose value, and neuroanatomic label by lobe. Effects of dose, neuroanatomic location, age, and chemotherapy on cortical thickness were tested using linear mixed effects (LME) modeling. RESULTS Cortical atrophy was seen after 1 year post RT with greater effects at higher doses. Estimates from LME modeling showed that cortical thickness decreased by -0.0033 mm (P<.001) for every 1-Gy increase in RT dose. Temporal and limbic cortex exhibited the largest changes in cortical thickness per Gy compared to that in other regions (P<.001). Age and chemotherapy were not significantly associated with change in cortical thickness. CONCLUSIONS We found dose-dependent thinning of the cerebral cortex, with varying neuroanatomical regional sensitivity, 1 year after fractionated partial brain RT. The magnitude of thinning parallels 1-year atrophy rates seen in neurodegenerative diseases and may contribute to cognitive decline following high-dose RT.


Nature Reviews Neurology | 2017

Mechanisms of radiotherapy-associated cognitive disability in patients with brain tumours

Milan Makale; Carrie R. McDonald; Jona A. Hattangadi-Gluth; Santosh Kesari

Standard treatment of primary and metastatic brain tumours includes high-dose megavoltage-range radiation to the cranial vault. About half of patients survive >6 months, and many attain long-term control or cure. However, 50–90% of survivors exhibit disabling cognitive dysfunction. The radiation-associated cognitive syndrome is poorly understood and has no effective prevention or long-term treatment. Attention has primarily focused on mechanisms of disability that appear at 6 months to 1 year after radiotherapy. However, recent studies show that CNS alterations and dysfunction develop much earlier following radiation exposure. This finding has prompted the hypothesis that subtle early forms of radiation-induced CNS damage could drive chronic pathophysiological processes that lead to permanent cognitive decline. This Review presents evidence of acute radiation-triggered CNS inflammation, injury to neuronal lineages, accessory cells and their progenitors, and loss of supporting structure integrity. Moreover, injury-related processes initiated soon after irradiation could synergistically alter the signalling microenvironment in progenitor cell niches in the brain and the hippocampus, which is a structure critical to memory and cognition. Progenitor cell niche degradation could cause progressive neuronal loss and cognitive disability. The concluding discussion addresses future directions and potential early treatments that might reverse degenerative processes before they can cause permanent cognitive disability.


JAMA | 2017

Types and Distribution of Payments From Industry to Physicians in 2015

Kathryn R. Tringale; D.C. Marshall; Tim K. Mackey; Michael Connor; James D. Murphy; Jona A. Hattangadi-Gluth

Importance Given scrutiny over financial conflicts of interest in health care, it is important to understand the types and distribution of industry-related payments to physicians. Objective To determine the types and distribution of industry-related payments to physicians in 2015 and the association of physician specialty and sex with receipt of payments from industry. Design, Setting, and Participants Observational, retrospective, population-based study of licensed US physicians (per National Plan & Provider Enumeration System) linked to 2015 Open Payments reports of industry payments. A total of 933 295 allopathic and osteopathic physicians. Outcomes were compared across specialties (surgery, primary care, specialists, interventionalists) and between 620 166 male (66.4%) and 313 129 female (33.6%) physicians using regression models adjusting for geographic Medicare-spending region and sole proprietorship. Exposures Physician specialty and sex. Main Outcomes and Measures Reported physician payment from industry (including nature, number, and value), categorized as general payments (including consulting fees and food and beverage), ownership interests (including stock options, partnership shares), royalty or license payments, and research payments. Associations between physician characteristics and reported receipt of payment. Results In 2015, 449 864 of 933 295 physicians (133 842 [29.8%] women), representing approximately 48% of all US physicians were reported to have received


Cancer | 2015

Cost effectiveness of proton versus photon radiation therapy with respect to the risk of growth hormone deficiency in children.

Raymond Mailhot Vega; Jane Kim; Abby S. Hollander; Jona A. Hattangadi-Gluth; Jeff M. Michalski; Nancy J. Tarbell; Torunn I. Yock; Marc R. Bussière; Shannon M. MacDonald

2.4 billion in industry payments, including approximately


Journal of the National Cancer Institute | 2016

Distribution and Patterns of Industry-Related Payments to Oncologists in 2014

D.C. Marshall; Beverly Moy; Madeleine E. Jackson; Tim K. Mackey; Jona A. Hattangadi-Gluth

1.8 billion for general payments,


Radiotherapy and Oncology | 2016

Dose-dependent white matter damage after brain radiotherapy

Michael Connor; Roshan Karunamuni; Carrie R. McDonald; Nathan S. White; Niclas Pettersson; Vitali Moiseenko; Tyler M. Seibert; D.C. Marshall; L Cervino; Hauke Bartsch; Joshua M. Kuperman; Vyacheslav Murzin; Anitha Priya Krishnan; Nikdokht Farid; Anders M. Dale; Jona A. Hattangadi-Gluth

544 million for ownership interests, and


Radiotherapy and Oncology | 2016

Radiation sparing of cerebral cortex in brain tumor patients using quantitative neuroimaging

Roshan Karunamuni; K Moore; Tyler M. Seibert; Nan Li; Nathan S. White; Hauke Bartsch; Ruben Carmona; D.C. Marshall; Carrie R. McDonald; Nikdokht Farid; A. Krishnan; Joshua M. Kuperman; Loren K. Mell; James B. Brewer; Anders M. Dale; Vitali Moiseenko; Jona A. Hattangadi-Gluth

75 million for research payments. Compared with 47.7% of primary care physicians (205 830 of 431 819), 61.0% of surgeons (110 604 of 181 372) were reported as receiving general payments (absolute difference, 13.3%; 95% CI, 13.1-13.6; odds ratio [OR], 1.72; P < .001). Surgeons had a mean per-physician reported payment value of


International Journal of Radiation Oncology Biology Physics | 2014

Single-fraction proton beam stereotactic radiosurgery for cerebral arteriovenous malformations.

Jona A. Hattangadi-Gluth; Paul H. Chapman; Daniel Kim; Andrzej Niemierko; Marc R. Bussière; Alison Stringham; Juliane Daartz; Christopher S. Ogilvy; Jay S. Loeffler; Helen A. Shih

6879 (95% CI,

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Nikdokht Farid

University of California

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Anders M. Dale

University of California

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D.C. Marshall

University of California

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Hauke Bartsch

University of California

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