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Dive into the research topics where Abdallah S.R. Mohamed is active.

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Featured researches published by Abdallah S.R. Mohamed.


Cancer | 2015

Long-term outcomes after surgical or nonsurgical initial therapy for patients with T4 squamous cell carcinoma of the larynx: A 3-decade survey.

David I. Rosenthal; Abdallah S.R. Mohamed; Randal S. Weber; Adam S. Garden; Parag R. Sevak; Merril S. Kies; William H. Morrison; Jan S. Lewin; Adel K. El-Naggar; Lawrence E. Ginsberg; Esengul Kocak-Uzel; K. Kian Ang; Clifton D. Fuller

The current study was conducted to evaluate long‐term disease control, survival, and functional outcomes after surgical and nonsurgical initial treatment for patients with T4 larynx cancer.


JAMA Oncology | 2016

Association of Body Composition With Survival and Locoregional Control of Radiotherapy-Treated Head and Neck Squamous Cell Carcinoma

Aaron J. Grossberg; Sasikarn Chamchod; Clifton D. Fuller; Abdallah S.R. Mohamed; J. Heukelom; Hillary Eichelberger; M Kantor; Katherine A. Hutcheson; G. Brandon Gunn; Adam S. Garden; Steven J. Frank; Jack Phan; Beth M. Beadle; Heath D. Skinner; William H. Morrison; David I. Rosenthal

IMPORTANCE Major weight loss is common in patients with head and neck squamous cell carcinoma (HNSCC) who undergo radiotherapy (RT). How baseline and posttreatment body composition affects outcome is unknown. OBJECTIVE To determine whether lean body mass before and after RT for HNSCC predicts survival and locoregional control. DESIGN, SETTING, AND PARTICIPANT Retrospective study of 2840 patients with pathologically proven HNSCC undergoing curative RT at a single academic cancer referral center from October 1, 2003, to August 31, 2013. One hundred ninety patients had computed tomographic (CT) scans available for analysis of skeletal muscle (SM). The effect of pre-RT and post-RT SM depletion (defined as a CT-measured L3 SM index of less than 52.4 cm2/m2 for men and less than 38.5 cm2/m2 for women) on survival and disease control was evaluated. Final follow-up was completed on September 27, 2014, and data were analyzed from October 1, 2014, to November 29, 2015. MAIN OUTCOMES AND MEASURES Primary outcomes were overall and disease-specific survival and locoregional control. Secondary analyses included the influence of pre-RT body mass index (BMI) and interscan weight loss on survival and recurrence. RESULTS Among the 2840 consecutive patients who underwent screening, 190 had whole-body positron emission tomography-CT or abdominal CT scans before and after RT and were included for analysis. Of these, 160 (84.2%) were men and 30 (15.8%) were women; their mean (SD) age was 57.7 (9.4) years. Median follow up was 68.6 months. Skeletal muscle depletion was detected in 67 patients (35.3%) before RT and an additional 58 patients (30.5%) after RT. Decreased overall survival was predicted by SM depletion before RT (hazard ratio [HR], 1.92; 95% CI, 1.19-3.11; P = .007) and after RT (HR, 2.03; 95% CI, 1.02-4.24; P = .04). Increased BMI was associated with significantly improved survival (HR per 1-U increase in BMI, 0.91; 95% CI, 0.87-0.96; P < .001). Weight loss without SM depletion did not affect outcomes. Post-RT SM depletion was more substantive in competing multivariate models of mortality risk than weight loss-based metrics (Bayesian information criteria difference, 7.9), but pre-RT BMI demonstrated the greatest prognostic value. CONCLUSIONS AND RELEVANCE Diminished SM mass assessed by CT imaging or BMI can predict oncologic outcomes for patients with HNSCC, whereas weight loss after RT initiation does not predict SM loss or survival.


Radiotherapy and Oncology | 2016

Intensity-modulated proton beam therapy (IMPT) versus intensity-modulated photon therapy (IMRT) for patients with oropharynx cancer - A case matched analysis.

Pierre Blanchard; Adam S. Garden; G. Brandon Gunn; David I. Rosenthal; William H. Morrison; Mike Hernandez; Joseph Crutison; Jack J. Lee; Rong Ye; C. David Fuller; Abdallah S.R. Mohamed; Kate A. Hutcheson; Emma B. Holliday; Nikhil G. Thaker; Erich M. Sturgis; Merrill S. Kies; X. Ronald Zhu; Radhe Mohan; Steven J. Frank

BACKGROUND Owing to its physical properties, intensity-modulated proton therapy (IMPT) used for patients with oropharyngeal carcinoma has the ability to reduce the dose to organs at risk compared to intensity-modulated radiotherapy (IMRT) while maintaining adequate tumor coverage. Our aim was to compare the clinical outcomes of these two treatment modalities. METHODS We performed a 1:2 matching of IMPT to IMRT patients. Our study cohort consisted of IMPT patients from a prospective quality of life study and consecutive IMRT patients treated at a single institution during the period 2010-2014. Patients were matched on unilateral/bilateral treatment, disease site, human papillomavirus status, T and N status, smoking status, and receipt of concomitant chemotherapy. Survival analyzes were performed using a Cox model and binary toxicity endpoints using a logistic regression analysis. RESULTS Fifty IMPT and 100 IMRT patients were included. The median follow-up time was 32months. There were no imbalances in patient/tumor characteristics except for age (mean age 56.8years for IMRT patients and 61.1years for IMPT patients, p-value=0.010). Statistically significant differences were not observed in overall survival (hazard ratio (HR)=0.55; 95% confidence interval (CI): 0.12-2.50, p-value=0.44) or in progression-free survival (HR=1.02; 95% CI: 0.41-2.54; p-value=0.96). The age-adjusted odds ratio (OR) for the presence of a gastrostomy (G)-tube during treatment for IMPT vs IMRT were OR=0.53; 95% CI: 0.24-1.15; p-value=0.11 and OR=0.43; 95% CI: 0.16-1.17; p-value=0.10 at 3months after treatment. When considering the pre-planned composite endpoint of grade 3 weight loss or G-tube presence, the ORs were OR=0.44; 95% CI: 0.19-1.0; p-value=0.05 at 3months after treatment and OR=0.23; 95% CI: 0.07-0.73; p-value=0.01 at 1year after treatment. CONCLUSION Our results suggest that IMPT is associated with reduced rates of feeding tube dependency and severe weight loss without jeopardizing outcome. Prospective multicenter randomized trials are needed to validate such findings.


Radiotherapy and Oncology | 2016

Toward a model-based patient selection strategy for proton therapy: External validation of photon-derived normal tissue complication probability models in a head and neck proton therapy cohort

Pierre Blanchard; Andrew J. Wong; G. Brandon Gunn; Adam S. Garden; Abdallah S.R. Mohamed; David I. Rosenthal; Joseph Crutison; R Wu; Xiaodong Zhang; X. Ronald Zhu; Radhe Mohan; M. Amin; C. David Fuller; Steven J. Frank

OBJECTIVE To externally validate head and neck cancer (HNC) photon-derived normal tissue complication probability (NTCP) models in patients treated with proton beam therapy (PBT). METHODS This prospective cohort consisted of HNC patients treated with PBT at a single institution. NTCP models were selected based on the availability of data for validation and evaluated by using the leave-one-out cross-validated area under the curve (AUC) for the receiver operating characteristics curve. RESULTS 192 patients were included. The most prevalent tumor site was oropharynx (n=86, 45%), followed by sinonasal (n=28), nasopharyngeal (n=27) or parotid (n=27) tumors. Apart from the prediction of acute mucositis (reduction of AUC of 0.17), the models overall performed well. The validation (PBT) AUC and the published AUC were respectively 0.90 versus 0.88 for feeding tube 6months PBT; 0.70 versus 0.80 for physician-rated dysphagia 6months after PBT; 0.70 versus 0.68 for dry mouth 6months after PBT; and 0.73 versus 0.85 for hypothyroidism 12months after PBT. CONCLUSION Although a drop in NTCP model performance was expected for PBT patients, the models showed robustness and remained valid. Further work is warranted, but these results support the validity of the model-based approach for selecting treatment for patients with HNC.


Radiotherapy and Oncology | 2014

Prospective randomized double-blind study of atlas-based organ-at-risk autosegmentation-assisted radiation planning in head and neck cancer

Gary V. Walker; Musaddiq J. Awan; Randa Tao; Eugene J. Koay; Nicholas S. Boehling; Jonathan D. Grant; Dean F. Sittig; G.B. Gunn; Adam S. Garden; Jack Phan; William H. Morrison; David I. Rosenthal; Abdallah S.R. Mohamed; Clifton D. Fuller

BACKGROUND AND PURPOSE Target volumes and organs-at-risk (OARs) for radiotherapy (RT) planning are manually defined, which is a tedious and inaccurate process. We sought to assess the feasibility, time reduction, and acceptability of an atlas-based autosegmentation (AS) compared to manual segmentation (MS) of OARs. MATERIALS AND METHODS A commercial platform generated 16 OARs. Resident physicians were randomly assigned to modify AS OAR (AS+R) or to draw MS OAR followed by attending physician correction. Dice similarity coefficient (DSC) was used to measure overlap between groups compared with attending approved OARs (DSC=1 means perfect overlap). 40 cases were segmented. RESULTS Mean ± SD segmentation time in the AS+R group was 19.7 ± 8.0 min, compared to 28.5 ± 8.0 min in the MS cohort, amounting to a 30.9% time reduction (Wilcoxon p<0.01). For each OAR, AS DSC was statistically different from both AS+R and MS ROIs (all Steel-Dwass p<0.01) except the spinal cord and the mandible, suggesting oversight of AS/MS processes is required; AS+R and MS DSCs were non-different. AS compared to attending approved OAR DSCs varied considerably, with a chiasm mean ± SD DSC of 0.37 ± 0.32 and brainstem of 0.97 ± 0.03. CONCLUSIONS Autosegmentation provides a time savings in head and neck regions of interest generation. However, attending physician approval remains vital.


Oral Oncology | 2014

Late radiation-associated dysphagia (late-RAD) with lower cranial neuropathy after oropharyngeal radiotherapy: A preliminary dosimetric comparison

Musaddiq J. Awan; Abdallah S.R. Mohamed; Jan S. Lewin; Charles A. Baron; G. Brandon Gunn; David I. Rosenthal; F. Christopher Holsinger; David L. Schwartz; Clifton D. Fuller; Katherine A. Hutcheson

BACKGROUND AND OBJECTIVES Late radiation-associated dysphagia (late-RAD) is a rare delayed toxicity, in oropharyngeal cancer (OPC) survivors. Prevention of late-RAD is paramount because the functional impairment can be profound and refractory to standard therapies. The objective of this analysis is to identify candidate dosimetric predictors of late-RAD and associated lower cranial neuropathies after radiotherapy (RT) or chemo-RT (CRT) for OPC. MATERIALS AND METHODS An unmatched retrospective case-control analysis was conducted. Late-RAD cases were identified among OPC patients treated with definitive RT or CRT. Controls were selected with minimum of 6 years without symptoms of late-RAD. Dysphagia-aspiration related structures (DARS) and regions of interest containing cranial nerve paths (RCCNPs) were retrospectively contoured. Dose volume histograms were calculated. Non-parametric bivariate associations were analyzed with Bonferroni correction and multiple logistic regression models were fit. RESULTS Thirty-eight patients were included (12 late-RAD cases, 26 controls). Median latency to late-RAD was 5.8 years (range: 4.5-11.3 years). Lower cranial neuropathies were present in 10 of 12 late-RAD cases. Mean superior pharyngeal constrictor (SPC) dose was higher in cases relative to controls (median: 70.5 vs. 61.6 Gy). Mean SPC dose significantly predicted late-RAD (p = 0.036) and related cranial neuropathies (p = 0.019). RCCNPs did not significantly predict late-RAD or cranial neuropathies. CONCLUSIONS SPC dose may predict for late-RAD and related lower cranial neuropathies. These data, and those of previous studies that have associated SPC dose with classical dysphagia endpoints, suggest impetus to constrain dose to the SPCs when possible.


Radiotherapy and Oncology | 2016

Beyond mean pharyngeal constrictor dose for beam path toxicity in non-target swallowing muscles: Dose-volume correlates of chronic radiation-associated dysphagia (RAD) after oropharyngeal intensity modulated radiotherapy

Timothy Dale; Katherine A. Hutcheson; Abdallah S.R. Mohamed; Jan S. Lewin; G. Brandon Gunn; Arvind Rao; Jayashree Kalpathy-Cramer; Steven J. Frank; Adam S. Garden; Jay A. Messer; Benjamin Warren; Stephen Y. Lai; Beth M. Beadle; William H. Morrison; Jack Phan; Heath D. Skinner; Neil D. Gross; Renata Ferrarotto; Randal S. Weber; David I. Rosenthal; Clifton D. Fuller

PURPOSE/OBJECTIVE(S) We sought to identify swallowing muscle dose-response thresholds associated with chronic radiation-associated dysphagia (RAD) after IMRT for oropharyngeal cancer. MATERIALS/METHODS T1-4 N0-3 M0 oropharyngeal cancer patients who received definitive IMRT and systemic therapy were examined. Chronic RAD was coded as any of the following ⩾12months post-IMRT: videofluoroscopy/endoscopy detected aspiration or stricture, gastrostomy tube and/or aspiration pneumonia. DICOM-RT plan data were autosegmented using a custom region-of-interest (ROI) library and included inferior, middle and superior constrictors (IPC, MPC, and SPC), medial and lateral pterygoids (MPM, LPM), anterior and posterior digastrics (ADM, PDM), intrinsic tongue muscles (ITM), mylo/geniohyoid complex (MHM), genioglossus (GGM), masseter (MM), buccinator (BM), palatoglossus (PGM), and cricopharyngeus (CPM), with ROI dose-volume histograms (DVHs) calculated. Recursive partitioning analysis (RPA) was used to identify dose-volume effects associated with chronic-RAD, for use in a multivariate (MV) model. RESULTS Of 300 patients, 34 (11%) had chronic-RAD. RPA showed DVH-derived MHM V69 (i.e. the volume receiving⩾69Gy), GGM V35, ADM V60, MPC V49, and SPC V70 were associated with chronic-RAD. A model including age in addition to MHM V69 as continuous variables was optimal among tested MV models (AUC 0.835). CONCLUSION In addition to SPCs, dose to MHM should be monitored and constrained, especially in older patients (>62-years), when feasible.


International Journal of Radiation Oncology Biology Physics | 2016

Clinical Outcomes and Patterns of Disease Recurrence After Intensity Modulated Proton Therapy for Oropharyngeal Squamous Carcinoma

G. Brandon Gunn; Pierre Blanchard; Adam S. Garden; X. Ronald Zhu; C. David Fuller; Abdallah S.R. Mohamed; William H. Morrison; Jack Phan; Beth M. Beadle; Heath D. Skinner; Erich M. Sturgis; Merrill S. Kies; Kate A. Hutcheson; David I. Rosenthal; Radhe Mohan; M Gillin; Steven J. Frank

PURPOSE A single-institution prospective study was conducted to assess disease control and toxicity of proton therapy for patients with head and neck cancer. METHODS AND MATERIALS Disease control, toxicity, functional outcomes, and patterns of failure for the initial cohort of patients with oropharyngeal squamous carcinoma (OPC) treated with intensity modulated proton therapy (IMPT) were prospectively collected in 2 registry studies at a single institution. Locoregional failures were analyzed by using deformable image registration. RESULTS Fifty patients with OPC treated from March 3, 2011, to July 2014 formed the cohort. Eighty-four percent were male, 50% had never smoked, 98% had stage III/IV disease, 64% received concurrent therapy, and 35% received induction chemotherapy. Forty-four of 45 tumors (98%) tested for p16 were positive. All patients received IMPT (multifield optimization to n=46; single-field optimization to n=4). No Common Terminology Criteria for Adverse Events grade 4 or 5 toxicities were observed. The most common grade 3 toxicities were acute mucositis in 58% of patients and late dysphagia in 12%. Eleven patients had a gastrostomy (feeding) tube placed during therapy, but none had a feeding tube at last follow-up. At a median follow-up time of 29 months, 5 patients had disease recurrence: local in 1, local and regional in 1, regional in 2, and distant in 1. The 2-year actuarial overall and progression-free survival rates were 94.5% and 88.6%. CONCLUSIONS The oncologic, toxicity, and functional outcomes after IMPT for OPC are encouraging and provide the basis for ongoing and future clinical studies.


Radiology | 2015

Quality assurance assessment of diagnostic and radiation therapy-simulation CT image registration for head and neck radiation therapy: Anatomic region of interest-based comparison of rigid and deformable algorithms

Abdallah S.R. Mohamed; Manee Naad Ruangskul; Musaddiq J. Awan; Charles A. Baron; Jayashree Kalpathy-Cramer; Richard Castillo; Edward Castillo; Thomas Guerrero; Esengul Kocak-Uzel; Jinzhong Yang; L Court; M Kantor; G. Brandon Gunn; Rivka R. Colen; Steven J. Frank; Adam S. Garden; David I. Rosenthal; Clifton D. Fuller

PURPOSE To develop a quality assurance (QA) workflow by using a robust, curated, manually segmented anatomic region-of-interest (ROI) library as a benchmark for quantitative assessment of different image registration techniques used for head and neck radiation therapy-simulation computed tomography (CT) with diagnostic CT coregistration. MATERIALS AND METHODS Radiation therapy-simulation CT images and diagnostic CT images in 20 patients with head and neck squamous cell carcinoma treated with curative-intent intensity-modulated radiation therapy between August 2011 and May 2012 were retrospectively retrieved with institutional review board approval. Sixty-eight reference anatomic ROIs with gross tumor and nodal targets were then manually contoured on images from each examination. Diagnostic CT images were registered with simulation CT images rigidly and by using four deformable image registration (DIR) algorithms: atlas based, B-spline, demons, and optical flow. The resultant deformed ROIs were compared with manually contoured reference ROIs by using similarity coefficient metrics (ie, Dice similarity coefficient) and surface distance metrics (ie, 95% maximum Hausdorff distance). The nonparametric Steel test with control was used to compare different DIR algorithms with rigid image registration (RIR) by using the post hoc Wilcoxon signed-rank test for stratified metric comparison. RESULTS A total of 2720 anatomic and 50 tumor and nodal ROIs were delineated. All DIR algorithms showed improved performance over RIR for anatomic and target ROI conformance, as shown for most comparison metrics (Steel test, P < .008 after Bonferroni correction). The performance of different algorithms varied substantially with stratification by specific anatomic structures or category and simulation CT section thickness. CONCLUSION Development of a formal ROI-based QA workflow for registration assessment demonstrated improved performance with DIR techniques over RIR. After QA, DIR implementation should be the standard for head and neck diagnostic CT and simulation CT allineation, especially for target delineation.


Scientific Reports | 2016

Magnetic Resonance Imaging of Glucose Uptake and Metabolism in Patients with Head and Neck Cancer

Jihong Wang; Joseph Weygand; Ken Pin Hwang; Abdallah S.R. Mohamed; Yao Ding; Clifton D. Fuller; Stephen Y. Lai; Steven J. Frank; Jinyuan Zhou

Imaging metabolic dysfunction, a hallmark of solid tumors, usually requires radioactive tracers. Chemical exchange saturation transfer (CEST) imaging can potentially detect and visualize glucose uptake and metabolism, without the need for radioisotopes. Here, we tested the feasibility of using glucose CEST (glucoCEST) to image unlabeled glucose uptake in head and neck cancer by using a clinical 3T magnetic resonance imaging (MRI) scanner. The average CEST contrast between tumors and normal tissue in 17 patients was 7.58% (P = 0.006) in the 3–4 ppm offset frequency range and 5.06% (P = 0.02) in 1–5 ppm range. In a subgroup of eight patients, glucoCEST signal enhancement was higher in tumors than in normal muscle (4.98% vs. 1.28%, P < 0.021). We conclude that glucoCEST images of head and neck cancer can be obtained with a clinical 3T MRI scanner.

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Dive into the Abdallah S.R. Mohamed's collaboration.

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Clifton D. Fuller

University of Texas MD Anderson Cancer Center

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David I. Rosenthal

University of Texas MD Anderson Cancer Center

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Adam S. Garden

University of Texas MD Anderson Cancer Center

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G. Brandon Gunn

University of Texas MD Anderson Cancer Center

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Stephen Y. Lai

University of Texas MD Anderson Cancer Center

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Steven J. Frank

University of Texas MD Anderson Cancer Center

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William H. Morrison

University of Texas MD Anderson Cancer Center

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Jack Phan

University of Texas MD Anderson Cancer Center

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Katherine A. Hutcheson

University of Texas MD Anderson Cancer Center

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Hesham Elhalawani

University of Texas MD Anderson Cancer Center

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