Qaṭf al-zahwī ay majmūʻ al-taqārīẓ /

Cover title.

[al-Qaṣāyid, ʻAlī ibn Abī Ṭālib] = Ali ben Abi Taleb Carmina : Arabice et Latine /

Includes index.

Dīvān-i farīd ʾal-ʾaqṭār va vaḥīd ʾal-ʾasrār ḥakīm-i māhir va suk︠h︡an sanj-i sāḥir ... Ḥakīm Qāʾānī Mīrzā Ḥabīb S︠h︡īrāzī.

Lithographed.

Hādhihi taqrīrāt sharīfah wa-tadqīqāt munīfah ʻalá ḥāshiyat Abī al-Najā ʻalá sharḥ Khālid al-Azharī [microform] /

Microfilm.

al-ʻAdhārá al-māysāt fī al-azjāl wa-al-muwashshaḥāt [microform] ; naqalahā Fīlīb Qaʻdān al-Khāzin.

Microfilm.

Sharḥ al-Qaṣīdah al-nūnīyah li-ʻUthmān al-ʻUryānī : al-musammá Khayr al-qalāʾid sharḥ Jawāhir al-ʻaqāʾid [microform]

Microfilm.

Kitāb Muḥīṭ al-muḥiṭ : qāmūs muṭawwal lil-lughah al-ʻArabīyah /

Mode of access: Internet.

Sharḥ Ibn al-Qāṣiḥ ʻalā al-Shāṭibīyah al-musammā bi-Sirāj al-qāriʼ al-mubtadiʼ wa-tizkār al-muqriʼ al-muntahī; wa-bi-hāmishihi Ghayth al-nafʻ fī al-qirāʼāt al-sabʻ,

Mode of access: Internet.

The PHAR-QA project: competency framework for pharmacy practice—first steps, the results of the European Network Delphi round 1

PHAR-QA, funded by the European Commission, is producing a framework of competences for pharmacy practice. The framework is in line with the EU directive on sectoral professions and takes into account the diversity of the pharmacy profession and the on-going changes in healthcare systems (with an increasingly important role for pharmacists), and in the pharmaceutical industry. PHAR-QA is asking academia, students and practicing pharmacists to rank competences required for practice. The results show that competences in the areas of drug interactions, need for drug treatment and provision of information and service were ranked highest whereas those in the areas of ability to design and conduct research and development and production of medicines were ranked lower. For the latter two categories, industrial pharmacists ranked them higher than did the other five groups

The production of a framework of competences for pharmacy practice in the European Union:the PHAR-QA project

Background and objectives: The goal of the PHAR-QA (Qualityassurance in European pharmacy education and training) project isthe production of a European framework of competences for pharmacypractice. This PHAR-QA framework (www.phar-qa.eu) will beEuropean and consultative i.e. it will be used for harmonization—butwill not to replace existing national QA systems.Methods: Using the proposals for competences produced by the previousPHARMINE(Pharmacy education in Europe; www.pharmine.eu) project, together with those of other sources, the authors produced a listof 68 personal and patient care competencies. Using internet surveytools the stakeholders—European pharmacy community (universitydepartment staff and students, community, hospital and industrialpharmacists, as well as pharmacists working in clinical biology andother branches, together with representatives of chambers and associations)—were invited to rank the proposals and add comments.Results and conclusions: Pharmacology and pharmacotherapy togetherwith competences such as ‘‘supply of appropriate medicinestaking into account dose, correct formulation, concentration, administrationroute and timing’’ ranked high. Other topics such as ‘‘currentknowledge of design, synthesis, isolation, characterisation and biologicalevaluation of active substances’’ ranked lower.Implications for practice: In the short term, it is anticipated that thissurvey will stimulate a productive discussion on pharmacy educationand practice by the various stakeholders. In the long term, thisframework could serve as a European model framework of competencesfor pharmacy practice.Acknowledgements: With the support of the Lifelong Learningprogramme of the European Union: 527194-LLP-1-2012-1-BEERASMUS-EMCR. This publication reflects the views only of theauthors; the Commission cannot be held responsible for any usewhich may be made of the information contained therein.

Development and Testing of An Automatic Lung IMRT Planning Algorithm

Knowledge-based radiation treatment is an emerging concept in radiotherapy. It

mainly refers to the technique that can guide or automate treatment planning in

clinic by learning from prior knowledge. Dierent models are developed to realize

it, one of which is proposed by Yuan et al. at Duke for lung IMRT planning. This

model can automatically determine both beam conguration and optimization ob-

jectives with non-coplanar beams based on patient-specic anatomical information.

Although plans automatically generated by this model demonstrate equivalent or

better dosimetric quality compared to clinical approved plans, its validity and gener-

ality are limited due to the empirical assignment to a coecient called angle spread

constraint dened in the beam eciency index used for beam ranking. To eliminate

these limitations, a systematic study on this coecient is needed to acquire evidences

for its optimal value.

To achieve this purpose, eleven lung cancer patients with complex tumor shape

with non-coplanar beams adopted in clinical approved plans were retrospectively

studied in the frame of the automatic lung IMRT treatment algorithm. The primary

and boost plans used in three patients were treated as dierent cases due to the

dierent target size and shape. A total of 14 lung cases, thus, were re-planned using

the knowledge-based automatic lung IMRT planning algorithm by varying angle

spread constraint from 0 to 1 with increment of 0.2. A modied beam angle eciency

index used for navigate the beam selection was adopted. Great eorts were made to assure the quality of plans associated to every angle spread constraint as good

as possible. Important dosimetric parameters for PTV and OARs, quantitatively

re

ecting the plan quality, were extracted from the DVHs and analyzed as a function

of angle spread constraint for each case. Comparisons of these parameters between

clinical plans and model-based plans were evaluated by two-sampled Students t-tests,

and regression analysis on a composite index built on the percentage errors between

dosimetric parameters in the model-based plans and those in the clinical plans as a

function of angle spread constraint was performed.

Results show that model-based plans generally have equivalent or better quality

than clinical approved plans, qualitatively and quantitatively. All dosimetric param-

eters except those for lungs in the automatically generated plans are statistically

better or comparable to those in the clinical plans. On average, more than 15% re-

duction on conformity index and homogeneity index for PTV and V40, V60 for heart

while an 8% and 3% increase on V5, V20 for lungs, respectively, are observed. The

intra-plan comparison among model-based plans demonstrates that plan quality does

not change much with angle spread constraint larger than 0.4. Further examination

on the variation curve of the composite index as a function of angle spread constraint

shows that 0.6 is the optimal value that can result in statistically the best achievable

plans.

Beam Angle Optimization for Automated Coplanar IMRT Lung Plans

Purpose: To investigate the effect of incorporating a beam spreading parameter in a beam angle optimization algorithm and to evaluate its efficacy for creating coplanar IMRT lung plans in conjunction with machine learning generated dose objectives.

Methods: Fifteen anonymized patient cases were each re-planned with ten values over the range of the beam spreading parameter, k, and analyzed with a Wilcoxon signed-rank test to determine whether any particular value resulted in significant improvement over the initially treated plan created by a trained dosimetrist. Dose constraints were generated by a machine learning algorithm and kept constant for each case across all k values. Parameters investigated for potential improvement included mean lung dose, V20 lung, V40 heart, 80% conformity index, and 90% conformity index.

Results: With a confidence level of 5%, treatment plans created with this method resulted in significantly better conformity indices. Dose coverage to the PTV was improved by an average of 12% over the initial plans. At the same time, these treatment plans showed no significant difference in mean lung dose, V20 lung, or V40 heart when compared to the initial plans; however, it should be noted that these results could be influenced by the small sample size of patient cases.

Conclusions: The beam angle optimization algorithm, with the inclusion of the beam spreading parameter k, increases the dose conformity of the automatically generated treatment plans over that of the initial plans without adversely affecting the dose to organs at risk. This parameter can be varied according to physician preference in order to control the tradeoff between dose conformity and OAR sparing without compromising the integrity of the plan.

Accumulation de dose à partir de champs de déformation 4D appliqués aux traitements au CyberKnife et à l'IMRT

Le cancer pulmonaire est la principale cause de décès parmi tous les cancers au Canada. Le pronostic est généralement faible, de l'ordre de 15% de taux de survie après 5 ans. Les déplacements internes des structures anatomiques apportent une incertitude sur la précision des traitements en radio-oncologie, ce qui diminue leur efficacité. Dans cette optique, certaines techniques comme la radio-chirurgie et la radiothérapie par modulation de l'intensité (IMRT) visent à améliorer les résultats cliniques en ciblant davantage la tumeur. Ceci permet d'augmenter la dose reçue par les tissus cancéreux et de réduire celle administrée aux tissus sains avoisinants. Ce projet vise à mieux évaluer la dose réelle reçue pendant un traitement considérant une anatomie en mouvement. Pour ce faire, des plans de CyberKnife et d'IMRT sont recalculés en utilisant un algorithme Monte Carlo 4D de transport de particules qui permet d'effectuer de l'accumulation de dose dans une géométrie déformable. Un environnement de simulation a été développé afin de modéliser ces deux modalités pour comparer les distributions de doses standard et 4D. Les déformations dans le patient sont obtenues en utilisant un algorithme de recalage déformable d'image (DIR) entre les différentes phases respiratoire générées par le scan CT 4D. Ceci permet de conserver une correspondance de voxels à voxels entre la géométrie de référence et celles déformées. La DIR est calculée en utilisant la suite ANTs («Advanced Normalization Tools») et est basée sur des difféomorphismes. Une version modifiée de DOSXYZnrc de la suite EGSnrc, defDOSXYZnrc, est utilisée pour le transport de particule en 4D. Les résultats sont comparés à une planification standard afin de valider le modèle actuel qui constitue une approximation par rapport à une vraie accumulation de dose en 4D.

Evaluating deviations in prostatectomy patients treated with IMRT

Aim - To evaluate the deviations in prostatectomy patients treated with IMRT in order to calculate appropriate margins to create the PTV. Background - Defining inappropriate margins can lead to underdosing in target volumes and also overdosing in healthy tissues, increasing morbidity. Material and methods - 223 CBCT images used for alignment with the CT planning scan based on bony anatomy were analyzed in 12 patients treated with IMRT following prostatectomy. Shifts of CBCT images were recorded in three directions to calculate the required margin to create PTV. Results and discussion - The mean and standard deviation (SD) values in millimetres were −0.05 ± 1.35 in the LR direction, −0.03 ± 0.65 in the SI direction and −0.02 ± 2.05 the AP direction. The systematic error measured in the LR, SI and AP direction were 1.35 mm, 0.65 mm, and 2.05 mm with a random error of 2.07 mm; 1.45 mm and 3.16 mm, resulting in a PTV margin of 4.82 mm; 2.64 mm, and 7.33 mm, respectively. Conclusion - With IGRT we suggest a margin of 5 mm, 3 mm and 8 mm in the LR, SI and AP direction, respectively, to PTV1 and PTV2. Therefore, this study supports an anisotropic margin expansion to the PTV being the largest expansion in the AP direction and lower in SI.