Contributi per una flora vascolare di Toscana. XII (739-812)

Vengono presentate nuove località e/o conferme relative a 74 taxa specifici e sottospecifici di piante vascolari della flora vascolare to- scana, appartenenti a 69 generi e 28 famiglie: Bunium, Trinia (Apia- ceae), Nerium (Apocynaceae), Lemna (Araceae), Artemisia, Bidens, Centaurea, Crupina, Gazania, Hieracium, Rhagadiolus, Symphyotri- chum, Tagetes, Tripleurospermum (Asteraceae), Impatiens (Balsami- naceae), Anredera (Basellaceae), Cynoglottis, Phacelia (Boraginaceae), Cardamine, Diplotaxis, Hornungia (Brassicaceae), Campanula, Lobe- lia (Campanulaceae), Cerastium, Dianthus, Polycarpon, Spergularia, Stellaria (Caryophyllaceae), Commelina (Commelinaceae), Fallopia (Convolvulaceae), Sempervivum (Crassulaceae), Dryopteris (Dryopte- ridaceae), Euphorbia (Euphorbiaceae), Lathyrus, Medicago, Ononis, Trigonella (Fabaceae), Geranium (Geraniaceae), Lycopus, Stachys (Lamiaceae), Malva (Malvaceae), Anacamptis, Cephalanthera, Epi- pactis, Orchis (Orchidaceae), Linaria (Plantaginaceae), Ceratochloa, Eragrostis, Festuca, Gastridium, Hyparrhenia, Molineriella, Phalaris, Phyllostachys, Setaria, Sporobolus, Stipellula (Poaceae), Anogramma (Pteridaceae), Anemonoides, Ranunculus (Ranunculaceae), Reseda (Resedaceae), Alchemilla, Kerria, Pyracantha, Rosa, Rubus (Rosa- ceae), Galium, Valantia (Rubiaceae), Thesium (Santalaceae). Infine, viene discusso lo status di conservazione delle entità e gli eventuali vincoli di protezione dei biotopi segnalati

Diffusion-weighted magnetic resonance imaging in the prediction and assessment of chemotherapy outcome in liver metastases

Purpose This study assessed the capability of magnetic resonance (MR) diffusion-weighted imaging (DwI) with measurement of apparent diffusion coefficient (ADC) in both predicting and evaluating the response to chemotherapy (CHT) of liver metastases by itself and along with preliminary dimensional assessment. Methods and materials Patients affected by liver metastases from cancers of the digestive tract and breast were prospectively enrolled and underwent computed tomography and MR-DwI before CHT (time 0) and 20\u201325 days after the beginning of the second cycle (time 3). Moreover, MRDwI was performed 10\u201315 (time 1) and 20\u201325 days (time 2) after the beginning of the first cycle. Maximum diameter and mean ADC value (910-3 mm2/s) of metastases were evaluated. Lesions were classified as progressive disease (PD), stable disease (SD) or partial response (PR) according to dimensional changes between time 0 and time 3, following RECIST 1.1 indications. Clinically, PD lesions were defined as nonresponding (NR), and SD and PR lesions as responding (R). Analysis of variance and ROC analyses were performed (significance at p\0.05). Results Eighty-six metastases (33 patients) were classified as follows: 15 PD, 39 SD and 32 PR without significant differences in mean ADC values among the groups before CHT and at all corresponding times.The meanADCvalues ofSDand PR groups at times 1 (respectively 1.66 \ub1 0.36 and 1.59 \ub1 0.23), 2 (1.72 \ub1 0.42 and 1.68 \ub1 0.37) and 3 (1.86 \ub1 0.44 and 1.73 \ub1 0.39) were significantly higher than the corresponding values at time 0 (1.50 \ub1 0.30 and 1.39 \ub1 0.33). An accurate cutoff value ofADC increase or diameter decrease for the early identification of R or NR lesions was not found. Conclusion The pretreatment ADC value of a liver metastasis does not seem useful in predicting the CHT outcome. A trend towards early ADC increase, alone or occurring with dimensional decrease, may be a good indicator of a responding lesion